Closed triple-Mu closed 1 year ago
Here is log:
(rknn) orangepi@orangepi5:~/Build/ncnn/build$ uname -a Linux orangepi5 5.10.110-rockchip-rk3588 #1.1.4 SMP Wed Mar 8 14:50:47 CST 2023 aarch64 aarch64 aarch64 GNU/Linux (rknn) orangepi@orangepi5:~/Build/ncnn/build$ lscpu Architecture: aarch64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 8 On-line CPU(s) list: 0-7 Thread(s) per core: 1 Core(s) per socket: 2 Socket(s): 3 Vendor ID: ARM Model: 0 Model name: Cortex-A55 Stepping: r2p0 CPU max MHz: 2400.0000 CPU min MHz: 408.0000 BogoMIPS: 48.00 L1d cache: 256 KiB L1i cache: 256 KiB L2 cache: 1 MiB L3 cache: 3 MiB Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; __user pointer sanitization Vulnerability Spectre v2: Vulnerable: Unprivileged eBPF enabled Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop asimddp (rknn) orangepi@orangepi5:~/Build/ncnn/build$ git log -n 1 master commit 91090d793b80d4bd8453641607acfa984a9be383 (HEAD -> master, origin/master, origin/HEAD) Author: nihui <nihuini@tencent.com> Date: Thu Jul 6 18:55:23 2023 +0800 pnnx fix build, prepend batch for broadcast reshape (#4841) * fix build, prepend batch for broadcast reshape * sanitize filename * do not fuse to eltwise if broadcast (rknn) orangepi@orangepi5:~/Build/ncnn/benchmark$ ../build/benchmark/benchncnn 10 4 2 -1 0 loop_count = 10 num_threads = 4 powersave = 2 gpu_device = -1 cooling_down = 0 squeezenet min = 3.76 max = 3.90 avg = 3.83 squeezenet_int8 min = 4.56 max = 4.66 avg = 4.62 mobilenet min = 5.72 max = 5.79 avg = 5.75 mobilenet_int8 min = 4.77 max = 4.89 avg = 4.82 mobilenet_v2 min = 4.87 max = 4.98 avg = 4.91 mobilenet_v3 min = 4.39 max = 4.43 avg = 4.41 shufflenet min = 3.55 max = 3.60 avg = 3.57 shufflenet_v2 min = 2.89 max = 2.95 avg = 2.93 mnasnet min = 4.41 max = 4.53 avg = 4.47 proxylessnasnet min = 5.20 max = 5.27 avg = 5.23 efficientnet_b0 min = 8.06 max = 8.15 avg = 8.11 efficientnetv2_b0 min = 11.88 max = 11.96 avg = 11.92 regnety_400m min = 8.13 max = 8.22 avg = 8.17 blazeface min = 1.39 max = 1.46 avg = 1.43 googlenet min = 16.44 max = 16.53 avg = 16.48 googlenet_int8 min = 16.61 max = 16.70 avg = 16.65 resnet18 min = 10.48 max = 10.56 avg = 10.52 resnet18_int8 min = 16.94 max = 17.01 avg = 16.98 alexnet min = 13.95 max = 14.04 avg = 13.98 vgg16 min = 65.99 max = 66.17 avg = 66.08 vgg16_int8 min = 134.59 max = 135.56 avg = 135.09 resnet50 min = 28.46 max = 28.80 avg = 28.53 resnet50_int8 min = 34.68 max = 34.86 avg = 34.79 squeezenet_ssd min = 14.86 max = 15.25 avg = 14.97 squeezenet_ssd_int8 min = 18.99 max = 19.17 avg = 19.10 mobilenet_ssd min = 13.94 max = 14.14 avg = 14.03 mobilenet_ssd_int8 min = 11.48 max = 11.62 avg = 11.53 mobilenet_yolo min = 32.92 max = 33.22 avg = 33.10 mobilenetv2_yolov3 min = 19.88 max = 21.47 avg = 20.60 yolov4-tiny min = 25.67 max = 29.82 avg = 27.56 nanodet_m min = 7.15 max = 7.23 avg = 7.19 yolo-fastest-1.1 min = 3.97 max = 4.02 avg = 3.99 yolo-fastestv2 min = 3.55 max = 3.61 avg = 3.57 vision_transformer min = 433.35 max = 437.71 avg = 435.12 FastestDet min = 3.35 max = 3.40 avg = 3.37
Here is picture(From http://www.orangepi.cn/html/hardWare/computerAndMicrocontrollers/details/Orange-Pi-5.html):
How about this picture(From https://cdn.cnx-software.com/wp-content/uploads/2022/11/Orange-Pi-5.jpg?lossy=0&strip=none&ssl=1)
Thanks for your contribution !
Here is log:
Here is picture(From http://www.orangepi.cn/html/hardWare/computerAndMicrocontrollers/details/Orange-Pi-5.html):![pi-5-banner-img](https://github.com/nihui/ncnn-small-board/assets/92794867/963e4753-880b-4156-b1ab-7e05b237fb6e)