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  1. Overview (Disclaimer: The following is for techies only that like to dig a bit deeper. And if you're not interested in energy-efficient servers then probably this is just a waste of time ) EDIT: Half a year after this poorly designed SBC has been released just one of the many design flaws has been fixed: Micro USB for DC-IN has been replaced by the barrel jack that was present on the pre-production batches. If you were unfortunate to get a Micro USB equipped M3 please have a look here how to fix this. Apart from that check the Banana forums what to expect regarding software/support first since this is your only source) SinoVoip sent me a review sample of the recently shipped so called "Banana Pi M3" yesterday. It's a SBC sharing name and form factor of older "Banana Pi" models but is of course completely incompatible to them due to a different SoC, an A83T (octa-core Cortex-A7 combined with a PowerVR SGX544 GPU). For detailed and up-to-date informations please always refer to the linux-sunxi wiki. This new model distinguishes itself from the Banana Pi M2 with twice as much CPU cores and DRAM (LPDDR3), 8 GB eMMC onboard and BT4.0. And compared to the "M1" (the original Banana Pi) it features also 802.11 b/g/n Wi-Fi. Unlike the M2 the M3 is advertised as being SATA capable. But that's not true, it's just an onboard GL830 USB-to-SATA bridge responsible for horribly slow disk access. Unfortunately the GL830 and both externally available USB ports are behind an internal USB hub therefore all ports have to share bandwidth this way and use just one single USB connection to the SoC. Since my use cases for ARM boards are rather limited you won't find a single word about GPIO stuff (should work if pin mappings are defined correctly), GPU performance, BT, Wi-Fi or Android. Simply because I don't care Getting Started: The board arrived without additional peripherals (no PSU) therefore you need an USB cable using a Micro-USB connector to power the board. Both DC-IN and USB-OTG feature an Micro-USB connector which is bad news since pre-production samples had a real DC-In connector (4.0mm/1.7mm barrel plug, centre positive like the M2). I suffered from several sudden shutdowns under slight load until I realized that I used a crappy cable. Many (most?) USB cables lead to voltage drops and when the board demands more power it gets in an undervoltage situation and the PMU shuts off. Same will happen to you unless you can verify that you've a good cable. I did not succeed querying the M3's powermanagement unit (PMU) regarding available voltage (/sys/devices/platform/axp81x_board/axp81x-supplyer.47/power_supply/ac/voltage_now shows always 0). This was a lot easier with the older Banana Pi M1: Here you can watch my cable being responsible for voltage drops under high load (I accidentally used this again with the M3). To avoid the crappy Micro-USB connector (limited to 1.8A maximum by specs and tiny contacts) you can desolder it and solder a cable or a barrel plug -- the PCB is already prepared for the latter. Or ask SinoVoip if they can fix this mistake with the next batch of PCBs. On the bottom side of the PCB there are also solder pads for a Li-Ion battery. It has to be confirmed whether the AXP813 PMU can also be fed with 5V through the Li-Ion connector since this is the preferred way to fix the faulty power design other SinoVoip products show. One final word regarding power: It seems currently something's wrong with power initialisation in the early boot stages (u-boot). With a connected bus-powered USB disk the board won't start or immediately shut down when the disk is connected within the first 10 seconds. I didn't verify when exactly because if you've a look at SinoVoip's commit log it seems they began to fix many obvious bugs just right now after they already started shipping the board (we've seen that with the M2 also). First Showstoppers: Since the board came with an unpopulated eMMC (why the heck?) I had to try out the available OS images from the banana-pi.org download site. Unlike everyone else on this planet they don't provide MD5/SHA1 checksums to be able to check integrity of downloads and even if you tell them that they've uploaded corrupted images they don't care. From 4 OS images 3 are corrupted (according to unzip) and all failed soon after boot with kernel panics. I tried the Android image to verify FEL mode works. But since Android is of zero use for me, I decided to build an own OS image from an Ubuntu distro running on the Orange Pi where I had the SD-card inserted. Since details are boring just as a reference. From then on I used this Ubuntu image and exchanged only the freshly built stuff from SinoVoip's BSP Github repo (3.4.39 kernel, modules, bootloader and also simple things like hardware initialisation since kernel/u-boot they prefer does NOT support script.bin) First Impressions: Heat (dissipation): The A83T needs a heatsink otherwise you won't be able to benefit from its performance. Allwinner's 3.4.39 kernel provides 'budget cooling' using 2 techniques: thermal throttling and shutting down CPU cores. You can define this 'thermal configuration' in sysconfig.fex and have to take care that you understand what you're doing since if throttling doesn't help your CPU cores will be deactivated and you have to can't bring them back online manually the usual way since Allwinner's kernel doesn't allow so: echo 1 >/sys/devices/system/cpu/cpuX/online Therefore it's better to stay with the thermal defaults to allow throttling and improve heat dissipation instead. I used a $0.5 heatsink that performs ok. Without heatsink when running CPU intensive jobs throttling limited clockspeed to 1.2 GHz but with the heatsink I was able to run most of the times at ~1.6Ghz under full load. With heatsink and an annoying fan I managed to let the SoC run constantly at 1.8GHz and achieved a 7-zip score close to 6000 and finished "sysbench --test=cpu --cpu-max-prime=20000 run --num-threads=8" in less than 53 seconds. This is an example for wrong throttling values (too high) so that the kernel driver does not limit clockspeeds but starts to drop CPU cores instead: CPU performance: Since the H3 (used on the more recent Orange Pis) and the A83T seem to use much of the same kernel sources (especially the 'thermal stuff') I did a few short tests. When running with identical clockspeed and the same amount of cores they perform identical (that means they're slower than older Cortex-A7 SoCs like eg. the A20 when running at identical clockspeed -- a bit strange). Obviously the difference between H3 and A83T is the process. Both already made in 28nm but the A83T as 'tablet SoC' in the more energy efficient HPC process allowing less voltage and higher clockspeeds. According to sysconfig.fex the SoC should be able to clock above 2.1 GHz but since exceeding 1.6 Ghz already needs a fan this is pretty useless on a SBC (might be different inside a tablet where the back cover could be used as a large heatsink). Network throughput: I used my usual set of iperf testings and tried GBit Ethernet performance (with and without network tunables it remains the same -- reason below): BPi-M3 --> Client: [ 4] 0.0-10.0 sec 671 MBytes 563 Mbits/sec [ 4] 0.0-10.0 sec 673 MBytes 564 Mbits/sec [ 4] 0.0-10.0 sec 870 MBytes 729 Mbits/sec [ 4] 0.0-10.0 sec 672 MBytes 564 Mbits/sec [ 4] 0.0-10.0 sec 675 MBytes 566 Mbits/sec Client --> BPi-M3: [ 4] 0.0-10.0 sec 714 MBytes 599 Mbits/sec [ 5] 0.0-10.0 sec 876 MBytes 734 Mbits/sec [ 4] 0.0-10.0 sec 598 MBytes 501 Mbits/sec [ 5] 0.0-10.0 sec 690 MBytes 578 Mbits/sec [ 4] 0.0-10.0 sec 604 MBytes 506 Mbits/sec When I used longer test periods (-t 120) then the "Client --> BPi-M3" performance increased up to the theoretical limit: 940 Mbits/s. Then a second iperf thread jumped in, both utilising a single CPU core fully. And that's the problem: Networking is CPU bound, a single client-server connection will not exceed 500-600 Mbits/sec as it was the case when I started with A20 based boards 2 years ago. Since all we have now with the A83T is an outdated 3.4.39 kernel and since I/O bandwidth on the M3 is so low, I stopped here since it's way too boring to try to improve network throughput and also useless (disk access is so slow that it simply doesn't matter when Ethernet is limited to half of the theoretical GBit Ethernet speed... at least for me ) Accessing disks: Since there's a SATA connector on the board I gave it a try. Important: the SATA-power connector uses the same polarity as older Banana Pis and Orange Pis (keep that in mind since combined SATA data/power cables from LinkSprite and Cubietech that share exactly the same connector use inverted polarity!). I started with the Samsung EVO I always use for tests (but due to the old 3.4 kernel using ext4 instead of btrfs) and was shocked: 13.5/23 MB/s is the worst result I ever measured. I then realised that I limited maximum cpufreq to 480 MHz and tried with 1800 MHz again. A bit better but far away from acceptable: GL830 USB-to-SATA performance: 480 MHz: kB reclen write rewrite read reread 4096000 4 13529 13466 22393 22516 4096000 1024 13588 13411 22717 26115 1.8 GHz: 4096000 4 15090 15082 30968 30316 4096000 1024 15174 15131 30858 29441 I disconnected the SSD from the 'SATA port' and put it in an enclosure with a JMicron JMS567 USB-to-SATA bridge and measured again: Now sequential transfer speeds @ 1800 MHz exceeded 35/34 MB/s. The GL830 is responsible for low throughput -- especially writes are slow as hell. I made then a RAID-1 through mdadm consisting of an external 3TB HDD (good news: the GL830 can deal with partitions larger than 2 TB) and the SSD. First test with the HDD connected to the M3's GL830 bridge (GL) and the SSD connected to the JMS567 (JM). Then I disconnected the HDD from the GL830 and put it in another external enclosure with an ASMedia 1053 (ASM). Obviously SinoVoip's decision to use an internal USB hub and only one host port of the SoC leads in both situations to limited (shared) bandwidth. But in case the internal USB-to-SATA bridge is involved performance is even worse: GL/JM: kB reclen write rewrite read reread 4096000 4 17800 17140 14382 16807 4096000 1024 17741 17258 14493 14368 JM/ASM: 4096000 4 19307 18458 22855 26241 4096000 1024 19231 18518 21995 22362 If SinoVoip would've saved the GL830 USB-to-SATA bridge and wired both SoC's host ports to the 2 type-A USB ports directly without the internal hub in between overall performance would be twice as good. And obviously the M3's 'SATA port' is the worst choice to connect a disk to. Any dirt-cheap external USB enclosure will perform better. SD-card and eMMC: Just a quick check with the usual iozone settings running @ 1.8 GHz: kB reclen write rewrite read reread eMMC: 4096000 4 26572 27014 59187 59239 4096000 1024 25875 26614 56587 56667 SD-card: 4096000 4 20483 20855 22473 22892 4096000 1024 20526 19948 22285 22660 LOL, eMMC twice as fast as 'SATA'. The performance numbers of the SD-card (SanDisk "Extreme Pro") are irrelevant since I can not provide performance numbers from a known fast reference implementation. But since I might be able to provide this the next few days, I decided to give it a try. On older Allwinner SoCs there's a hard limitation regarding SDIO/SD-card speed. Maybe this applies here too. EDIT: Yes, it's a board/SoC limitation. When reading/writing the SD-card on a MacBook Pro I achieve ~80 MB/s. It seems SDIO on A83T is limited to ~20MB/s Other issues: If you want to try out the M3 you'll have to stay on the bleeding edge. Don't expect that any of the available OS images are close to useable. They just recently started to fix a lot of essential bugs in code and hardware initialisation. If you want to test the M3 be prepared to compile the BSP daily and exchange the bootloader/kernel/initialisation stuff on your SD-card/eMMC Currently average load is always 1 or above. When we started over 2 years ago with Cubieboards (and an outdated kernel 3.4.x) there was a similar issue. Maybe it's related. I just opened a Github issue Mainline kernel support in very early stage. Don't count on this that soon (situation with Banana Pi M2 was a bit different. All the OS images from SinoVoip based on kernel 3.3 weren't useable but the community provided working distros backed by the work of the linux-sunxi community and existing mainline kernel support for the M2's A31s) Always keep in mind that hardware without appropriate software is somewhat useless. SinoVoip has a long history of providing essential parts of software way too late or not at all (still applies to the M2 -- before you buy any SinoVoip product better have a look into their forums to get the idea which level of support you can expect: zero). Even worse: For the M2 and its A31s SoC there exists mainline kernel support (everything developed by the community while the vendor held back necessary informations). This does not apply to the A83T used on the M3. At the moment you're somewhat lost since you've to rely on the manufacturer's OS images (all of them currently being broken) Conclusion: Still no idea what to do with such a device. Integer performance is great when you use a heatsink and even greater with an annoying fan. But where's the use case? If I would use the M3 with Android then everything that's relevant for performance does not depend on CPU (but instead CedarX for HW accelerated video decoding and GPU for 2D/3D acceleration -- BTW: the A83T is said to contain only a single core SGX544MP1 but the fex file's contents let me believe it's a faster MP2 instead). Due to limited I/O and network bandwidth the integer performance is also irrelevant for nearly all kinds of server tasks. If it's just about 'SBC stuff' why wasting so much money? Triggering GPIO pins works also with cheap H3 based boards like Orange Pi PC or Orange Pi One that also have 4 times more I/O bandwidth compared to the M3 (due to 4 available USB ports instead of one). And if I would really need a performant ARM SoC then I would buy such a thing and not an outdated Cortex-A7 design. I still have no idea what the M3 is made for. Except of selling something under the "Banana" brand to clueless people. Don't know. For my use cases the Banana Pi M1 outperforms the M3 easily -- both regarding price and performance (sufficient CPU power, 3 x USB and real SATA not 'worst USB-to-SATA implementation ever'). As usual: YMMV Maybe the worst design decision (next to choosing the crappy Micro-USB connector for DC-IN) on the M3 is the 'SATA port'. If they would've saved both internal USB hub and GL830 and instead use the two available USB host ports then achievable I/O bandwidth would be way higher. Now both USB ports and the 'SATA port' have to share the bandwidth of a single USB 2.0 connection. Almost as bad as with the Raspberry Pis. But most importantly: Check software und support situation first and don't rely on 'hardware features'. Remember: SinoVoip shipped the M2 with OS images where not a single GPIO pin was defined and Ethernet worked only with 100Mb/s since they 'forgot' to define GMAC pins. They fixed that months later but still not for every OS image (the Android image they provide is corrupted since months but they don't care even if users complain several times). Visit their forums first to get an idea what to expect. It's important! Armbian support: Not to be expected soon. It's worthless when having to rely on Allwinner's old 3.4.39 kernel. I combined loboris' H3 Debian image with kernel/bootloader stuff for the A83T and it worked as expected (even my RPi-Monitor setup matched almost perfectly). Unless the linux-sunxi community improves mainline support for the A83T this situation won't change. But maybe someone interested in M3 (definitely not me) teaches SinoVoip how to escape from u-boot/kernel without support for script.bin in the meantime. Would be a first step.
  2. Hi all. I made a video about KDE Neon on the Raspberry Pi 5. I love it, I'll be switching from ubuntu-desktop to this. Greetings, NicoD
  3. Hi all. Here my review of the Orange Pi 5 Plus with Armbian Jammy. I show tips for better desktop experience, show how to build your own images, how to run games, and tons of info about the board. Here's the video : For those who rather read, here's my gathered data : https://docs.lane-fu.com/s/5IxGlf4gn Greetings, NicoD
  4. Hi all. I made a new video about Armbian on the Khadas VIM3. Both standard Armbian and Monka his Widevine and Gaming image. Here it is :
  5. Hi all. Here my review video about the Mixtile Blade 3. An RK3588 ARM SBC with a special connector to make it possible to connect multiple of these boards in a cluster. But it can also be used well as desktop or server device. It has all the bells and whistle's an RK3588 can have like dual 2.5GbE, m-PCIe, NVMe, HDMI-out + 2 x DP on USB-C and HMDI-in, ... Here is my video : Greetings, NicoD
  6. My gathered info : RK3588(S) comparison -------------------- RK3588(S) 8nm LP process 4 x A55 @ 1.8Ghz + 4 x A76 @ 2.4Ghz (Not the same for all boards, between 2.2Ghz and 2.4Ghz) Mali-G610 MP4 "Odin" 6TOPs NPU Up to 32GB memory theoretically (haven't seen any 32GB yet) RK3588 RK3588S PCIE3.0 2x2 Lanes PCIe3.0 N/A PCIe2.0/SATA3.0/USB3.0 MUX 3x1 Lane PCIE2.0 2x1 Lane PCIE2.0 3x SATA 3.0 2x SATA 3.0 1x USB3.0 (refer USB section) 1x USB3.0 (refer USB section) Board SoC Memory eMMC SD-Reader NVMe/PCIe/SATA Network USB2 USB3 USB-C (dp) HDMI-out HDMI-in DP Active cooling Powered with 1. Khadas Edge 2 Pro Rockchip RK3588S 16 GB LPDDR4X 2112 MHz 64 GB xxx xxx xxx 1 x 1 x 1 x DP 1 x xxx xxx xxx (Case not out yet) USB-C PD 2. NanoPi R6S Rockchip RK3588S 8 GB LPDDR4X 2133 MHz 32 GB yes xxx 2 x 2.5GbE + 1GbE 1 x 1 x xxx 1 x xxx xxx Metal case USB-C PD 3. Radxa Rock5B Rockchip RK3588 16 GB LPDDR4X 2112 MHz Module yes 2 x M.2 NVMe 2.5GbE 2 x 2 x xxx 2 x 1 x micro-HDMI xxx XU4 heatsink no sufficient USB-C PD (Issue with PD, I'm using 5V 4A PSU) 4. Mekotronics R58 Mini Rockchip RK3588 16 GB LPDDR4X 64 GB xxx SATA ribbon 1GbE 2 x 1 x 1 x (no DP) 2 x 1 x full size 1 x Big heatsink sufficient *** 12V barrel jack *** Case could also be used to cool with a thermal pad 5. Mekotronics R58X-4G Rockchip RK3588 8 GB LPDDR4X 64 GB xxx SATA/NVMe/mini-PCIe 1GbE 2 x 1 x 1 x DP 1 x 1 x full size 1 x Big heatsink sufficient *** 12V barrel jack 6. Orange Pi 5 Rockchip RK3588S 4/8 GB LPDDR4(x) xxx yes NVMe 1GbE 1 x 2 x 1 x DP 1 x xxx xxx No USB-C 5V Other specs Khadas Edge 2 Pro also has 3 x CSI + 2 x DSI, and can have an I/O board for SD-card and uart Radxa Rock5B has 1 x CSI + 1 x DSI OPi5 has 2 x DSI + 3 x Camera port Benchmarks ---------- Board | OS | Kernel | Clockspeeds | 7z b all cores | 7z b core small core | 7z b big core | NicoD Blender | Supertuxkart | SBC-Bench Radxa Rock 5B Armbian Jammy cinnamon 5.10.110 1.8Ghz A55/2.4Ghz A76 15996 1533 (core 0) 2651 (core 7) 3m25s 65fps (panfork) http://ix.io/4jOb Radxa Rock 5B Radxa Bullseye xfce4 5.10.66-27 1.8Ghz A55/2.4Ghz A76 16138 1522 (core 0) 2649 (core 4/7) 4m35s V2.83.5 xxx Khadas Edge2 Ubuntu 22.04 Gnome 5.10.66 1.8Ghz A55/2.35Ghz* A76 16901 1766 (core 0) 2930 (core 7) 3m25s 110fps (wayland) http://ix.io/4e8w ****SBC-Bench broken big cores at 408Mhz NanoPi R6S Ubuntu 22.04 Gnome Headless 5.10.110 1.8Ghz A55/2.3Ghz * A76 16385 1449 (core 0) 2493 (core 7) 3m27s 110fps (wayland) http://ix.io/4gSl Mekotronics R58 Debian Bullseye wayland 5.10.110 1.8Ghz A53/2.2Ghz A76 16803 1777 (core 0) 2879 (core 1) 4m35s 110fps (wayland) http://ix.io/4j40 Mekotronics R58 Ubuntu 20.04 x11 5.10.66 1.8Ghz A53/2.2Ghz A76 16477 1765 (core 0) 2897 (core 1) 5m53s V2.82 4fps (llvmpipe) Mekotronics R58X-G4 Armbian Jammy Gnome 5.10.110 1.8Ghz A53/2.4Ghz A76 16421 1767 (core 0) 2852 (core 1) 3m28s 75fps (panfork) SBC-bench broken Pros+++ ------- Khadas Edge2 Pro Small and USB-C PD powered, so great for my trips but needs a metal case for that. Having the extra USB-C is great. It is either a 2nd fast access to the SoC, and can be used for 2nd HDMI display. OOWOW is great to install new software, no need for RKDevTool. The Khadas software is pretty good. Khadas has a great team that's active on their forum. NanoPi R6S Metal case makes it awesome. It is limited, but for what I wanted it's doing the job better than expected(fast NAS and even watching video). USB-C PD powered, so if I don't find a case for Edge2 I can also use the R6S on my trips. SD-Reader is great for booting and installing software. Mekotronics R58 mini Full sized ports. For home use it's good to have a device that's not tiny. Great to have the display ports on back and side and USB on the front. Case is nice, but not used for cooling. Great for digital signage with 2x HDMI + 1 x DP. Mekotronics R58X-4G mini-PCIe, NVMe and SATA. Full sized ports. USB-C with DP. Nice case, can be used to cool the board with a thermal pad but not needed. Rock5B Armbian support. Has dual M.2 sockets. SD-card reader and eMMC socket. Full sized HDMI-out ports. 2.5GbE. Cons--- ------- Khadas Edge2 Pro No metal case yet(March). Missing SD-card, IO board can add that but then doesn't fit in the case. Seems designed for use in a small kiosk/digital signage, so all small special connectors for additional devices like displays and camera's. NanoPi R6S Designed for networking and so missing a lot of other features(NVMe, PCIe, extra USB-C with DP, multiple USB3 ports...). Mekotronics R58 mini Not the best I/O. No sd-reader what makes the use of RKDevTool needed. Expensive. Wouldn't be as good for me if I didn't know great Armbian devs(MonkaBlyat). Mekotronics R58X-4G No sd-reader what makes the use of RKDevTool needed. Expensive. Wouldn't be as good for me if I didn't know great Armbian devs(MonkaBlyat). Rock5B Software not ready for my daily needs, seems the worst supported board. USB-C PD has issue's. No good cooling sollution comes with the board. My opinion on available software -------------------------------- 1. Khadas Edge2 Ubuntu 22.04 works great with panfork. You can also use the blob GPU driver if you start with the Gnome image. Almost everything works as it should. 2. Mekotronics R58(X-4G) Armbian Jammy Gnome works great with panfork. The Mekotronics images aren't perfect. Works well for desktop/video/gaming. 3. NanoPi R6S Ubuntu 22.04 gnome works well, but panfork doesn't work with it. It's very stable, did my desktop tasks as a champ. But I'm missing gaming on it with x11. 4. Radxa Rock5B Armbian Jammy Gnome is buggy as hell. Only Armbian runs ok on it. The Debian image from Radxa is a mess, Android is unusable. DTB file seems badly hacked together. My favorite ranking for now --------------------------- 1. Mekotronics R58X-4G It has it all. Good cooling, nice it's not tiny, NVMe and SATA and mini-PCIe. 1 less full sized HDMI vs R58 but USB-C DP works too. Armbian thanks to MonkaBlyat brings this on top. 2. NanoPi R6S Limited but works well for what I wanted from it. The case is a big plus. Panfork not working. But the Ubuntu 22.04 Gnome image is great for desktop tasks. Stable, great video playback. Performs well as NAS too. Love that it has an SD-reader. I do not need dual 2.5GbE, so could have been better having NVMe instead of 2nd 2.5GbE port. 3. Khadas Edge 2 Missing of a metal case brings this down, waiting for the case to be released. The software from Khadas is the best of all. No SD-card is also a big minor. Best board for travel laptop. 4. Mekotronics R58X Works well. But has a lot less I/O than R58X-4G. Then again has 2 x full sized HDMI-out vs 1 x on R58X-4G. 5. Radxa Rock5B Bit dissapointed by the software. It does have all the bells and whistles I want. But it isn't ready for daily use yet. Armbian is the only ok-working image for it. And that is a lot more buggy than all the others. ***Don't have the OPi5***
  7. Hi all. Here my review of the Mekotronics R58-Mini and R58X-4G. These are my favorite RK3588 devices. Easiest to work with on a desk. Been my main-desktop for the last months. I've been using MonkaBlyat his Armbian images. It is stable, fun to work with, has GPU drivers and VPU. But it is using the dirty rockchip kernel. So once armbian can be build for these devices, and mainline has matured these should be the best RK3588 devices for me at home. For on the road I've got the Kadas Edge2Pro. Here's my video. Mekotronics download page : https://www.mekotronics.com/h-msgBoard.html Armbian from MonkaBlyat for R58-Mini : https://monka.systemonachip.net/r58-mini/Armbian_23.05.0-trunk_r58-mini_jammy_legacy_5.10.110.AFM.img.xz Armbian from MonkaBlyat for R58X (4G/Pro) : https://monka.systemonachip.net/r58x/Armbian_23.05.0-trunk_r58x_jammy_legacy_5.10.110.AFM.img.xz RKDevTool and SPI boot loader for Armbian : https://drive.google.com/file/d/1Gg9So9nuVax_AC82UQJOq1mHBea3sQ4q/view?usp=share_link Here all my gathered info :
  8. Hi all. I've just finished making my review video about the Khadas Edge2. No Armbian on it(yet). It is an awesome board, and I'm very happy to have it. I'm still waiting on my Rock5B to arrive, so this helped me overcome this period. But it does have its limits. For some goals it is perfect, some others not so much. Here my video. Greetings, NicoD
  9. Hi al. I've finished my review of the PineBook Pro. I just love this thing. Runs great with Armbian. Here my video. Here all my gathered information:
  10. mainline based u-boot 2021.07 Ubuntu 22.04 Jammy LTS based (upcoming release, could have issues, currently in testing phase) kernel 5.10.y LTS or 5.15.y LTS ZSH with OhMyZSH addon or classic BASH ZFS 2.1.y support Wireguard fan and LCD support boot from SPI / HDD / USB Tested on image (which comes with preinstalled headers, stable kernel): https://redirect.armbian.com/odroidhc4/Jammy_current https://redirect.armbian.com/odroidhc4/Jammy_current.torrent apt update and upgrade sudo apt install zfs-dkms zfsutils-linux Checking for ZFS pool status after drive pool import: Enable LCD: Enable FAN: sudo systemctl restart fancontrol Build from sources (build host must be Ubuntu Hirsute or Jammy): apt-get -y install git git clone https://github.com/armbian/build cd build sed "s/^#DOCKER_FLAGS+=(--privileged)/DOCKER_FLAGS+=(--privileged)/" -i config/templates/config-docker.conf touch .ignore_changes ./compile.sh \ docker \ EXPERT="yes" \ BOARD="odroidhc4" \ BRANCH="current" \ RELEASE="jammy" \ KERNEL_ONLY="no" \ KERNEL_CONFIGURE="no" \ BUILD_DESKTOP="no" \ BUILD_MINIMAL="no"
  11. Hi all. In this video I test the KDE Plasma desktop on Armbian Jammy. It ain't perfect. It needs some fixes to be workable. I show what to do to install and fix. Here's the video. Greetings.
  12. Hi all. In my latest video I test an Armbian image for X86/AMD64. I try it on the Rock Pi X. This also works on any other x86 pc. This is just a preview of what is possible. It is not an official release in any way. Armbian is only supported on ARM single board computer. But hell it is nice to use it on this too. Big thanks to all the Armbian developers. Greetings, NicoD
  13. Hi all. I again had the pleasure of working with an amazing server. This time the AMD Threadripper 3990X, 64-cores and 128 threads. After last week working on a 32-core ARM server I thought I had seen performance. This is again not comparable with anything before. I again got private SSH access. So I opened 3 terminals. One with HTop, another to check sensors. And the 3th to execute my benchmarks. First thing I saw were the 128-threads. Being used to seeing 6, this was almost unbelievable. With light loads it turbo's up to 4.3Ghz. All cores maxed out @ 3Ghz while consuming 400W. Reaching a single core 7zip decompression score of 4545MIPS @ 4.3Ghz. The Ampere 32-core ARM server at 3.3Ghz reached 2763. This again shows the Ampere server doesn't use high performance cores. It doesn't perform great per clock. Coming soon is a benchmark of an AWS server. This uses high performance cores based on the ARM N1 cores. A derivative of the A76. This reaches 3393. This clocked at only 2.5Ghz. So this does perform better per clock. Do know this is comparing peers with bananas(don't want to confuse with apples). And scoring 391809MIPS with 7zip multi-core decompression with default settings. Then with an overclock to 3.9Ghz all cores it consumed +600W. With a 7zip decompression score of 433702MIPS This is again so many levels better than the Ampere 32-core ARM server which got 85975MIPS. 32-cores of the AWS graviton2 does 110628. So this AMD server is up to 5 x more powerful when overclocked, than the Ampere 32-core server. Consuming 6 x as much. With normal configuration they both perform almost as well in performance/watt. In idle the Threadripper sonsumed 100W, what is a lot for doing nothing. The 32-core ARM server only consumed a bit more than 100W maxed out. And about 20W in idle. The BMW Blender benchmark, which takes 29m23s on the fastest ARM SBC the Odroid N2+. The Ampere ARM server did it in 8m27s. For the Threadripper this was a way too light load, it did it in 30s. Even when doing this render 10 x after each other it didn't raise the temperatures much. The maximum I've seen was 50C. To try a heavier load I downloaded the Barber Shop Blender render. This was 6912 tiles to render. But again the Threadripper wasn't impressed by this load. 2m18s79. The AWS with 32-cores (of 64) done this in 8m28s. So this ARM server does compete well per clock for a floating point task with TR. ARM may be great, but AMD is mighty. Intel does not have anything to compete with this. Certainly not performance/watt. It was a pleasure benchmarking this server. I learned a lot, like that I need to find better tools for these amazing machines. The specs of this monster : ASRock Rack TRX40D8-2N2T AMD Ryzen Threadripper 3990x 256GB memory (8 x 32Gb) ECC 2 x 1TB PCI 4.0 Nvme SSD Water Cooling The specs of the Threadripper 3990x 64-cores 128-threads AMD64 Zen2 Matisse 2.9Ghz - 4.3Ghz 4-channel DDR4-3200 MHz 256GB RAM 88 lanes PCIe4 TSMC's 7nm process node 280W - +400W 32 KB L1 per core (64x) 64 x 512 KB L2 256 MB L3 cache shared You can see my full review video here, greetings. NicoD
  14. Hi all. I've finished my review video about the NVIDIA Jetson Nano. I kept it simple, more videos to come on gameplay and neural network self learning. Here's the review video. I like it a lot. Does Blender great, and works well as light desktop. Loving the graphics drivers and hoping soon the other SBC's can have simular good drivers. It is close to being my favorite. If only the cpu had more power... Here my gathered data.
  15. This little and inexpensive ($35) board is fully compatible to discontinued NanoPi M3. From a software point of view both boards are identical (though Wi-Fi is missing on the Fire3) and as such identical OS images can be used for both boards. The good news: compared to the last time I looked at the M3 kernel support has improved a lot. Back then we had to run a smelly 3.4.39 (32-bit only) while we can now run mainline on it. I gave it a try using our Armbian Stretch nightly running with 4.14.40 (full armbianmonitor -u output) and did a couple of tests. The Samsung/Nexell S5P6818 SoC consists of 8 A53 cores running at up to 1.4GHz with default settings (can be slightly overclocked up to 1.6 GHz according to Willy Tarreau -- see the reviews at the product page). All cores behave like one big cluster (so adjusting /sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq affects all 8 CPU cores at once, this is no artificial pseudo big.LITTLE as Amlogic does it with their S912). Now with a recent 64-bit kernel with the CPU cores brought up in ARMv8 mode we can also make use of ARMv8 Crypto Extensions making the S5P6818 to one of the most powerful boards when it's about AES crypto and stuff can run on all 8 cores in parallel (33 times faster than a RPi 3 and still 28 times faster than a RPi 3+). While the octa-core config sounds interesting for CPU intensive workloads one should keep in mind that this board has only 1 GB DRAM which is simply not enough for many such workloads (or you would need to make massive use of zram instead which performs better than swap on slow storage but of course bottlenecks a lot). Talking about a somewhat powerful CPU we also have to talk about temperatures and consumption. The board is always part of a kit so FriendlyELEC sells it together with a heatsink and a high quality Micro USB cable that solves a lot of the Micro USB related powering problems. In idle I measured 2.6W with Armbian (PSU included at the wall) while Willy Tarreau reported 'It consumes 400mA/5V in idle, and 1.2A/5V under openssl RSA with 8 cores at 1.6 GHz' (most probably using FriendlyELEC's OS image). So I tested for consumption with worst case workloads and used cpuburn-a53 for this. Since I knew from last time when I tested that the board deadlocks when starting cpuburn-a53 at 1.4 GHz I increased max cpufreq in steps (consumption always with PSU included): 1000 MHz: 9.3W 1100 MHz: 10.7W 1200 MHz: 12.2W 1300 MHz: 13.8W 1400 MHz: 14.7W After a short time with cpuburn-a53 running at 1.4 GHz the board deadlocked again which is not a surprise since my PSU is rated for 2A (10W) and Micro USB itself is only rated for 1.8A (9W). As usual with FriendlyELEC boards there's a 4 pin header for serial debug console that can also be used to power the board more reliably so even demanding tasks that increase consumption to 15W are possible when powering through the header. Talking about temperatures: After applying the heatsink I did a simple compile test (Arm Compute Library) with -j8 and after a minute the board did an emergency shutdown since CPU temperature reached 100°C. So all following tests were done with a huge fan blowing air over the heatsink laterally. IMO for demanding tasks improved airflow / heat dissipation is a must and the small heatsink simply not sufficient. What other hardware is there? The usual 40 pin GPIO header, Gigabit Ethernet (with Armbian's settings and mainline kernel we're talking about iperf3 numbers of ~925 Mbits/sec in both directions), a mini HDMI port (most probably supported by Armbian), a camera and a LCD port (both not supported by Armbian as far as I know), the Micro USB OTG port and a single USB2 type A port. USB Attached SCSI (UAS) is yet not available with mainline kernel so storage performance is a little lower as it could be. This is a Samsung EVO840 in an ASM1153 enclosure connected to the USB2 port: random random kB reclen write rewrite read reread read write 102400 4 7544 9889 10098 10117 7996 9770 102400 16 16143 20165 20365 20260 19858 20172 102400 512 33138 33659 33120 33373 33417 33321 102400 1024 33511 33663 33429 34020 34119 33521 102400 16384 32731 34012 36483 36750 36674 34291 I also did a quick test as NAS and got numbers as expected: everything a little bit slower compared to those USB2 platforms that can make use of UAS -- so if NAS is the use case some of the cheaper Allwinner boards with Gigabit Ethernet are a better idea. As usual FriendlyELEC did a great job documenting the board: http://wiki.friendlyarm.com/wiki/index.php/NanoPi_Fire3 -- they also provide OS images that make full use of all hardware features (camera, LCD displays auto-detected by u-boot, GPU/VPU acceleration, HDMI resolution switching in Linux sounds a bit like PITA though). Still not sure for which use cases this board applies. The octa-core CPU would better be accompanied by more DRAM (though then you need to get the NanoPC-T3 Plus -- same SoC but 2 GB DRAM) and I fear making use of the processor power almost always requires a fan blowing in addition to the heatsink (without a fan I measured in idle always +60°C after a few minutes)
  16. https://zuckerbude.org/the-pinebook-pro/
  17. Hi all. I've just finished a new video where I review an Amazon AWS Graviton2 arm64 server. This is a monster with 64 high-performance N1 cores. It isn't clocked that high at 2.5Ghz, but it performs amazing for that clockspeed. Here is my video. Here all the info I've gathered. AWS Server 32-cores 128GB ------------------------- NEOVERSE N1 64-core AWS Graviton2 ARMv8.2 aarch64 Arm’s Neoverse N1 cores -> based on A76 -> almost identical to Arm’s 64-core reference N1 platform -> CPU cores are clocked a bit lower 2.5GHz and only 32MB instead of 64MB of L3 cache Max speed 2500Mhz 8-channel DDR-3200 128GB ram 64 PCIe4 lanes TSMC’s 7nm process node ~1W per core at the 2.5GHz frequency between 80W as a low estimate to around 110W estimation. This info is not disclosed by AWS 7z single core Ampere 32-core : 2763 AWS 32-core : 3393 Threadripper 3990x : 4545 7z quad core : Raspberry Pi 4 @ 1.5Ghz : 6307 Odroid N2+ 4xA73@2.4Ghz : 9900 Ampere 32-core : 11145 AWS 32-core : 13733 Threadripper 3990x : 18060 7z all cores : Ampere 32-core : 85975 AWS 32-core : 110628 Threadripper 3990x : 391809 433702 OC Blender BMW CPU Odroid N2+ : 30m Ampere 32-core : 8m27s AWS Server 32-core : 2m08s ThreadRipper 3990x : 30s Blender Barber shop CPU AWS Server 32-core : 8m28s Threadripper 3990x : 2m18s79 CPU Miner Odroid N2+ : 14 Ampere 32-core : 87 AWS Server 32-core : 154.20 ThreadRipper 3990x : 1310 SBC bench : http://ix.io/2FrG Internet speed test between 1500 Mbit/s and 2000 Mbit/s both up- and download (up to 250MB/s) I had 32-cores of the 64-cores. It is expected to perform a bit worse per core with 64-cores vs 32-cores since less cache available per core. There's a newer Ampere 80-core N1 at 3Ghz SoC. https://www.anandtech.com/show/15578/cloud-clash-amazon-graviton2-arm-against-intel-and-amd/6 Thank you to @lanefu for giving me access to this.
  18. Hi all. Here my newest video about old boards that still do their job well. OrangePi+ and OPi+2. My favorite NAS. Here all my gathered data. Greetings, NicoD
  19. Today I had the pleasure of benchmarking an ARM64 server. This server has been made available for Armbian to test native ARM64 image building. I knew nothing about the server. Nobody told me any details. So everything was an adventure for me to find out. I got SSH access, so my research began. A lscpu informed me it had 32-cores all clocked at 3.3Ghz. cat /proc/cpuinfo confirmed these 32-cores Checking on what kernel we're on. Ubuntu Focal 5.4.0-52-generic. And how much memory. 128GB RAM. So first thing I wanted to know, how does one core perform with 7-zip benchmark? The record I had seen until now was from the A73 cores from the Odroid N2+ clocked at 2.4Ghz. 2504MIPS decompression. So : taskset -c 31 7z b This beats the Odroid N2+ its A73 cores clocked at 2.4Ghz. 2763 vs 2504MIPS decompression. This also tells me these cores do not perform as good per clock as a high performance core. While doing the single core benchmark I checked the sensors to know the wattage and temperature. CPU power is about 20W for a single core tasks. Without a load the CPU consumes between 10W-15W. So in total it consumes a bit more than 20W in idle. Temperature never went under 49C even after +5 minutes in idle. Of course, the next thing to do is an all-core 7zip benchmark. This gives an amazing result. Way higher than anything I had ever seen on ARM. 85975MIPS decompression. This is amazing. Best I had seen was 11000MIPS of the Odroid N2+. So this server does 8 x better than the N2+. Tho, I must say. 7zip does bad with unequal clusers. The N2+ has a great difference in cluster frequencies. So it performs worse then expected here. The wattage went a lot higher, up to 110W. And the temperature rose quickly up to 75C in seconds. To test the internet connection I downloaded an Armbian image multiple times. Sometimes it was as low as 3MB/s. Highest average speed I've seen was 12.5MB/s Next test. BMW Blender render benchmark. Here the fastest I had ever seen was by the Khadas VIM3. That did it in 42m51s. I haven't done this yet with the N2+ in Armbian. In Odroid's Ubuntu it was a little slower. I expect it to be a little faster than the VIM3 in Armbian Bionic. This is a tile based test. So every core gets its own task, until all tiles are done. Well, this ARM64 server did this in 8m27s. 5 x faster compared to the Khadas VIM3. For this the wattage didn't go over 85W. But the temperature did rise to 83C. So it started to throttle. @lanefu already had done SBC-Bench on it when it was free. So this I didn't have to do myself. http://ix.io/2Dcc Here we see a lot. For example the CPUMiner did : 81.0kH/s The Odroid N2+ : 14 kH/s 5.7 x less RK3399 does a maximum of : 10.23kH/s 8 x less Odroid C2 clocked at 1.75Ghz : 4.65kH/s 17 x less So this server clearly can move a lot of bits around. Now, what is this server? Ask google if nobody else tells me. "32 core ARM server 3.3Ghz" First answer : https://www.theregister.com/2018/09/18/ampere_shipping/ That looks like it is this CPU. But still I can't find the exact name. 2nd answer : https://www.servethehome.com/ampere-32-core-64-bit-arm-chip-x-gene-3-ip/ So this is the Ampere 32-core 64-bit from X-Gene 3 IP. Here the wikichip : https://en.wikichip.org/wiki/apm/x-gene/apm883832-x3?fbclid=IwAR0ljCQ61DY8Zwh_VyZd0fQH43dmPUTJA-CGLiQKYqU2fWwszFm1CPjH6Zo This supports up to 1TB RAM. 8 channels @ 2666Mhz. With a maximum memory bandwidth of 158.95 GiB/s. 42 lanes of PCIe Gen 3, with 8 controllers – x16 or two x8/x4 – x16 or two x8/x4 – x8 or two x4 – Two x1 4 x SATA Gen 3 ports, 2 x USB2. And a TDP of 125W TDP. For me this is just an awesome thing to behold. I use ARM for almost everything. The NanoPi M4V2 is my main desktop computer. It isn't as powerful as my PC, but does the task for 10 x less power consumption, while being completely silent. But when I need a big CPU, it isn't enough. Even the more powerful Odroid N2+ isn't powerful enough to render long, +20minutes 1440p video's for example for my Youtube channel. So then i need to use my x86/amd64 PC. Today I have seen and tasted the future. While this doesn't use the most modern Cortex/clusters. And it is only 16nm. So there is still a lot of room for improvements in performance and lower power consumption. ARM for desktop is possible, and ARM servers for big datacenters is possible(AWS). I have seen the future, I loved every second of it. Here benchmarks compared to my SBCs Greetings, NicoD
  20. Hi all. I've just finished a long video special where I talk about all my SBCs. In the order how I got them. I show the specs of all of them. Say what I like, what's bad about them. What I use them for. What SBC is best for your goal. Here's my video, I hope you enjoy it. Greetings, NicoD. P.S. : Pictures of anyone else their collection? Mine are not all on this pic, no room for them all.
  21. Hi all. I just finished my review video about the Tanix TX6. Here it is. Greetings, NicoD
  22. I've been doing some tests with NanoPi M4 these days. While I'm not a professional board reviewer, here I can share some early performance numbers to you. Beware that none of these tests fit into real world use cases, they are just provided as-is. Besides, Armbian development on RK3399 boards are still at a very early stage, so any of these numbers may change in the future, due to software changes. Unless mentioned, all tests are done using Armbian nightly image, FriendlyARM 4.4 kernel, CPU clocked at 2.0/1.5GHz Powering NanoPi M4 is my first board powered by USB-C, while RK3399 is not power-hungry under normal load, I do doubt if 5V/3A power supply is sufficient when the CPU load goes higher, or when a lot of USB devices are connected. So I went a series of power measurement, with this tool That is to measure the power consumption on the USB side, excluding the consumption of PSU. The board is powered by the USB-C charger that came with my Huawei MateBook E, which supports 5V/2A, 9V/2A, and 12V/2A, so theoretically it is insufficient to power the NanoPi M4 board. Unfortunately I can't find a USB-C charger capable of 5V/3A output, and I have to do such test with it. What if I connected a lot of USB 3.0 device and exceeded the 5V/2A limit? Well, I did try that (connect 4 USB HDD and run cpuburn, or even connect 2 SBCs to the USB), and the answer is simple: the board crashed. But normally the board's consumption will not exceed 10W, so the charger works just fine. Test setup 1) Idle consumption This is the typical consumption when you use it as an headless server. 2) Idle consumption with HDMI display output (console tty interface, no Desktop/X11/GPU stuff) Testing with Dell P2415Q 4k 60Hz display. HDMI connected, with 2560*1440 60Hz video output. Also connect the USB 3.0 hub to 3) Display connected, 802.11ac WiFi with iperf sending With HDMI display connected (same as (2)), and WiFi connected to 802.11ac 5GHz AP in another room, run the following command: iperf3 -c 10.24.0.1 -t 60 The WiFi throughput is around 110Mbps 4) Display connected, running cpuburn With HDMI display connected (same as (2)), run cpuburn on all 6 cores 5) Idle consumption of 4.19-rc1 mainline kernel Same as (1), but running mainline kernel. Test results The idle consumption is 1.79W, and it might need some tuning to reduce the consumption. When WiFi and display are connected, it goes higher to 2.87W. With an active WiFi networking, the board consumes 4.67W, and with all CPU cores active, it consumes 9.86W. Mainline kernel has a higher idle consumption, the reason might be DDR dvfs and/or devfreq are not implemented yet. Based on these results, it seems that 5V/2A power is okay if no peripheral devices are connected. However if you connect any USB devices, it may easily exceed the 2A limit when CPU load goes higher. CPU/RAM and IO Performance While RK3399 is not a super fast chip, its performance fits into its position. To reveal the full potential of the board, I'm posting some visualized sbc-bench results taken from mainline 4.19-rc1 kernel here. This is because there might be some DRAM performance issues on RK3399 with 4.4 kernel.. For comparison, I'm also posting the results of Firefly-RK3399 (2.2/1.8GHz overclock, tested by myself), Raspberry Pi 3 B+, ROCK64 and RockPro64 (taken from existing sbc-bench results) You can see the full sbc-bench log here. Memory 7-zip cpuminer For IO performance, I use iozone to measure the performance of SD card, eMMC and USB SSD. NanoPC T4's NVMe SSD results are added as a reference. SSD performance are measured by command "iozone -e -I -a -s 1G -r 4k -r 16k -r 512k -r 1024k -r 16384k -i 0 -i 1 -i 2", SD card and eMMC are using 100M instead of 1G size. Networking NanoPi M4 comes with a 1Gbps ethernet port and a 802.11ac 2x2 MIMO WiFi module, and I tested both with iperf3. GbE iperf3 full duplex test: hjc@nanopim4:~$ iperf3 -c 10.20.0.1 & iperf3 -Rc 10.20.0.1 -p 5202 [1] 27486 Connecting to host 10.20.0.1, port 5201 Connecting to host 10.20.0.1, port 5202 Reverse mode, remote host 10.20.0.1 is sending [ 4] local 10.20.0.2 port 43782 connected to 10.20.0.1 port 5201 [ 4] local 10.20.0.2 port 45102 connected to 10.20.0.1 port 5202 [ ID] Interval Transfer Bandwidth [ 4] 0.00-1.00 sec 64.6 MBytes 542 Mbits/sec [ ID] Interval Transfer Bandwidth Retr Cwnd [ 4] 0.00-1.00 sec 95.1 MBytes 798 Mbits/sec 0 314 KBytes [ 4] 1.00-2.00 sec 110 MBytes 919 Mbits/sec [ 4] 1.00-2.00 sec 94.5 MBytes 793 Mbits/sec 0 320 KBytes [ 4] 2.00-3.00 sec 110 MBytes 920 Mbits/sec [ 4] 2.00-3.00 sec 95.8 MBytes 803 Mbits/sec 0 317 KBytes [ 4] 3.00-4.00 sec 110 MBytes 920 Mbits/sec [ 4] 3.00-4.00 sec 94.5 MBytes 792 Mbits/sec 0 317 KBytes [ 4] 4.00-5.00 sec 110 MBytes 920 Mbits/sec [ 4] 4.00-5.00 sec 94.6 MBytes 794 Mbits/sec 0 314 KBytes [ 4] 5.00-6.00 sec 110 MBytes 919 Mbits/sec [ 4] 5.00-6.00 sec 95.7 MBytes 803 Mbits/sec 0 314 KBytes [ 4] 6.00-7.00 sec 110 MBytes 919 Mbits/sec [ 4] 6.00-7.00 sec 95.5 MBytes 801 Mbits/sec 0 317 KBytes [ 4] 7.00-8.00 sec 110 MBytes 920 Mbits/sec [ 4] 7.00-8.00 sec 94.8 MBytes 795 Mbits/sec 0 314 KBytes [ 4] 8.00-9.00 sec 110 MBytes 920 Mbits/sec [ 4] 8.00-9.00 sec 94.5 MBytes 792 Mbits/sec 0 314 KBytes [ 4] 9.00-10.00 sec 97.2 MBytes 816 Mbits/sec 0 320 KBytes - - - - - - - - - - - - - - - - - - - - - - - - - [ ID] Interval Transfer Bandwidth Retr [ 4] 0.00-10.00 sec 952 MBytes 799 Mbits/sec 0 sender [ 4] 0.00-10.00 sec 949 MBytes 796 Mbits/sec receiver [ 4] 9.00-10.00 sec 110 MBytes 921 Mbits/sec - - - - - - - - - - - - - - - - - - - - - - - - - [ ID] Interval Transfer Bandwidth Retr iperf Done. [ 4] 0.00-10.00 sec 1.03 GBytes 884 Mbits/sec 9 sender [ 4] 0.00-10.00 sec 1.03 GBytes 882 Mbits/sec receiver iperf Done. [1] + 27486 done iperf3 -c 10.20.0.1 Wireless hjc@nanopim4:~$ iperf3 -c 10.24.0.1 Connecting to host 10.24.0.1, port 5201 [ 4] local 10.23.4.116 port 39730 connected to 10.24.0.1 port 5201 [ ID] Interval Transfer Bandwidth Retr Cwnd [ 4] 0.00-1.00 sec 13.0 MBytes 109 Mbits/sec 13 1.21 MBytes [ 4] 1.00-2.01 sec 12.9 MBytes 107 Mbits/sec 5 618 KBytes [ 4] 2.01-3.00 sec 12.6 MBytes 106 Mbits/sec 0 618 KBytes [ 4] 3.00-4.00 sec 9.35 MBytes 78.7 Mbits/sec 4 329 KBytes [ 4] 4.00-5.00 sec 11.1 MBytes 92.9 Mbits/sec 0 348 KBytes [ 4] 5.00-6.00 sec 10.2 MBytes 85.5 Mbits/sec 0 363 KBytes [ 4] 6.00-7.00 sec 9.37 MBytes 78.6 Mbits/sec 0 387 KBytes [ 4] 7.00-8.00 sec 10.9 MBytes 91.5 Mbits/sec 0 409 KBytes [ 4] 8.00-9.00 sec 13.6 MBytes 114 Mbits/sec 0 409 KBytes [ 4] 9.00-10.00 sec 13.8 MBytes 116 Mbits/sec 0 410 KBytes - - - - - - - - - - - - - - - - - - - - - - - - - [ ID] Interval Transfer Bandwidth Retr [ 4] 0.00-10.00 sec 117 MBytes 98.0 Mbits/sec 22 sender [ 4] 0.00-10.00 sec 116 MBytes 97.0 Mbits/sec receiver iperf Done. hjc@nanopim4:~$ iperf3 -c 10.24.0.1 -R Connecting to host 10.24.0.1, port 5201 Reverse mode, remote host 10.24.0.1 is sending [ 4] local 10.23.4.116 port 39734 connected to 10.24.0.1 port 5201 [ ID] Interval Transfer Bandwidth [ 4] 0.00-1.00 sec 10.6 MBytes 88.8 Mbits/sec [ 4] 1.00-2.00 sec 10.9 MBytes 91.5 Mbits/sec [ 4] 2.00-3.00 sec 4.41 MBytes 37.0 Mbits/sec [ 4] 3.00-4.00 sec 2.07 MBytes 17.3 Mbits/sec [ 4] 4.00-5.00 sec 1018 KBytes 8.34 Mbits/sec [ 4] 5.00-6.00 sec 1.29 MBytes 10.8 Mbits/sec [ 4] 6.00-7.00 sec 6.48 MBytes 54.4 Mbits/sec [ 4] 7.00-8.00 sec 10.8 MBytes 91.0 Mbits/sec [ 4] 8.00-9.00 sec 10.7 MBytes 89.9 Mbits/sec [ 4] 9.00-10.00 sec 10.7 MBytes 89.8 Mbits/sec - - - - - - - - - - - - - - - - - - - - - - - - - [ ID] Interval Transfer Bandwidth Retr [ 4] 0.00-10.00 sec 70.1 MBytes 58.8 Mbits/sec 0 sender [ 4] 0.00-10.00 sec 69.1 MBytes 58.0 Mbits/sec receiver iperf Done. It's too complicated to analyze the performance of a WiFi connection, but so far I've never seen more than 200Mbps throughput on AP6356S.
  23. - H6 - 1GB - gigabit - 26pin - powering only via DC input - PMU AXP805 - 1 x USB2.0 host and 1 x micro USB 2.0 - size: 69x47mm - weight: 50g - price USD20-25
  24. Hi all. I've finished my review video of the NanoPi M4V2. Here is it. Special thanks to @JMCC @balbes150 @pask and @martinayotte. Cheers all.
  25. Hi all. I've made a new video where I compare the above boards. I show specs, performance and transfer speeds of everything. Here's the video. Here my gathered data. Benchmarks ---------- Khadas VIM3 | Clock S/C | B/C | Blender | 7z S/C | 7Z B/C | glxgears | CPUMiner | SBCBench | glmark2 Ubuntu Bionic 1.80Ghz 2.21Ghz 13m22s 1582 2322 192FPS 12.90 http://ix.io/1P6F Ubuntu XFCE 1.80Ghz 2.21Ghz 12m43s 1586 2316 355FPS 12.90 http://ix.io/1PhE Armbian Bionic 1.80Ghz 2.11Ghz 11m48s 1610 2244 495FPS Armbian Bionic 1.80Ghz 2.21Ghz 11m28s 1613 2348 510FPS 12.85 http://ix.io/1PD2 Armbian Disco 1.80Ghz 2.21Ghz 11m11s http://ix.io/1PDR Armbian Buster 1.80Ghz 2.21Ghz 11m21s 1644 2374 590FPS 12.80 http://ix.io/1PEm RockPi 4B | Clock S/C | B/C | Blender | 7z S/C | 7Z B/C | glxgears | CPUMiner | SBCBench Debian Stretch64 1.51Ghz 2.02Ghz 21m44s 1340 1988 90FPS 8.79 http://ix.io/1Rrl Debian Stretch64 1.42Ghz 1.80Ghz 23m34s 1260 1789 90FPS 8.07 http://ix.io/1RrE 50 Armbian Disco 1.42Ghz 1.80Ghz 21m38s 1246 1811 254FPS 9.90 Armbian Bionic 1.42Ghz 1.80Ghz 22m19s 1247 1809 255FPS 9.55 http://ix.io/1Rz3 Armbian Bionic5.4.0RC4 75 NanoPi M4 | Clock S/C | B/C | Blender | 7z S/C | 7Z B/C | glxgears | CPUMiner | SBCBench Armbian Bionic 1.42Ghz 1.80Ghz 22m18s 1249 1813 250FPS 9.50 http://ix.io/1ORz Armbian Stretch 1.42Ghz 1.80Ghz 23m48s 1269 1789 7.97 http://ix.io/1ORY Armbian Buster 1.42Ghz 1.80Ghz 21m23s 1277 1816 290FPS 10.07 http://ix.io/1P6X Armbian Disco 1.42Ghz 1.80Ghz 20m34s 1252 1823 260FPS 9.95 http://ix.io/1PbD Odroid N2 | Clock S/C | B/C | Blender | 7z S/C | 7Z B/C | glxgears | CPUMiner | SBCBench Armbian Bionic 1.9Ghz 1.8Ghz 14m29s 1629 1891 Atomic Pi | Clock S/C | B/C | Blender | 7z S/C | 7Z B/C | glxgears | CPUMiner | SBCBench Ubuntu Disco 1.67Ghz 27m58s 1441 60FPS Storage ------- NanoPi M4 | Read | Write 32GB eMMC 180MB/s Samsung EVO SD-cardreader 68.1MB/s 20.6MB/s USB3-Sata 395.5MB/s 411.5MB/s Odroid N2 | Read | Write 32GB eMMV 151.4MB/s Samsung EVO SD-cardreader 61.9MB/s 14.2MB/s USB3-SATA 228.5MB/s 239.6MB/s Khadas VIM3 | Read | Write eMMC 16GB 165.9MB/s 60 MB/s SSD over USB3 286.1 MB/s 380.3 MB/s write SSD over USB2 : 40.2 MB/s Samsung EVO plus with on-board sd-reader : 10.2MB/s write 22.1MB/s read with USB3 sd-reader : 31.7MB/s write 88.6MB/s read RockPi4B | Read | Write On-board sd 23.9 MB/s 14.3 MB/s ssd over USB3 402.7 MB/s 406.2 MB/s write NVMe 730 MB/s 745.0 MB/s write 1GB 10GB 432MB/s
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