nihui-pc

AMD Ryzen 7 1700 Eight-Core testing with a ASRock AB350 Gaming-ITX/ac (P5.30 BIOS) and MSI NVIDIA GeForce RTX 2070 8GB on Fedora 32 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009294-AS-NIHUIPC3370
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
nihui-pc
September 29 2020
  3 Hours, 11 Minutes
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nihui-pcOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 1700 Eight-Core @ 3.73GHz (8 Cores / 16 Threads)ASRock AB350 Gaming-ITX/ac (P5.30 BIOS)AMD 17h16384MB256GB SAMSUNG MZVLW256HEHP-00000 + 1000GB Western Digital WD10SPZX-22ZMSI NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)NVIDIA TU106 HD AudioIntel I211 + Intel Dual Band-AC 3168NGWFedora 325.8.10-200.fc32.x86_64 (x86_64)KDE Plasma 5.18.5X Server 1.20.8NVIDIA 450.664.6.0OpenCL 1.2 CUDA 11.0.228 + OpenCL 1.2 pocl 1.5 RelWithDebInfo LLVM 10.0.1 RELOC SLEEF DISTRO POCL_DEBUG + OpenCL 2.0 beignet 1.3 + OpenCL 1.1 Mesa 20.1.81.2.133Clang 10.0.1 + LLVM 10.0.1 + CUDA 10.2ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNihui-pc BenchmarksSystem Logs- Scaling Governor: acpi-cpufreq ondemand- SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

nihui-pcncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3ncnn: CPU - yolov4-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3ncnn: Vulkan GPU - yolov4-tinynihui-pc27.6432.869.778.546.548.8812.332.4625.8083.9121.4419.9249.0532.8640.216.126.661.972.281.792.023.590.884.419.322.212.654.886.6612.16OpenBenchmarking.org

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetnihui-pc714212835SE +/- 0.19, N = 627.64MIN: 23.4 / MAX: 129.91

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetnihui-pc816243240SE +/- 0.15, N = 632.86MIN: 28.8 / MAX: 124.34

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2nihui-pc3691215SE +/- 0.18, N = 69.77MIN: 8.66 / MAX: 139.33

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3nihui-pc246810SE +/- 0.13, N = 68.54MIN: 7.65 / MAX: 74.32

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2nihui-pc246810SE +/- 0.09, N = 66.54MIN: 5.84 / MAX: 116.82

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetnihui-pc246810SE +/- 0.21, N = 68.88MIN: 7.81 / MAX: 102.67

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0nihui-pc3691215SE +/- 0.09, N = 612.33MIN: 11.16 / MAX: 122.56

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefacenihui-pc0.55351.1071.66052.2142.7675SE +/- 0.08, N = 62.46MIN: 2.22 / MAX: 37.36

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetnihui-pc612182430SE +/- 0.31, N = 625.80MIN: 21.08 / MAX: 126.25

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16nihui-pc20406080100SE +/- 0.10, N = 683.91MIN: 79.02 / MAX: 131.28

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18nihui-pc510152025SE +/- 0.21, N = 621.44MIN: 17.41 / MAX: 92.57

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetnihui-pc510152025SE +/- 0.13, N = 619.92MIN: 18.11 / MAX: 74.4

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50nihui-pc1122334455SE +/- 0.51, N = 649.05MIN: 41.59 / MAX: 147.02

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3nihui-pc816243240SE +/- 0.15, N = 632.86MIN: 28.8 / MAX: 124.34

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinynihui-pc918273645SE +/- 0.20, N = 640.21MIN: 36.14 / MAX: 122.31

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetnihui-pc246810SE +/- 0.07, N = 76.12MIN: 4.88 / MAX: 29.9

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetnihui-pc246810SE +/- 0.09, N = 76.66MIN: 5.2 / MAX: 19.05

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2nihui-pc0.44330.88661.32991.77322.2165SE +/- 0.02, N = 71.97MIN: 1.55 / MAX: 3.57

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3nihui-pc0.5131.0261.5392.0522.565SE +/- 0.02, N = 72.28MIN: 1.85 / MAX: 12.25

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2nihui-pc0.40280.80561.20841.61122.014SE +/- 0.01, N = 71.79MIN: 1.44 / MAX: 3.16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetnihui-pc0.45450.9091.36351.8182.2725SE +/- 0.02, N = 72.02MIN: 1.62 / MAX: 14.52

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0nihui-pc0.80781.61562.42343.23124.039SE +/- 0.02, N = 73.59MIN: 2.9 / MAX: 13.72

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefacenihui-pc0.1980.3960.5940.7920.99SE +/- 0.04, N = 70.88MIN: 0.71 / MAX: 6.48

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetnihui-pc0.99231.98462.97693.96924.9615SE +/- 0.11, N = 74.41MIN: 3.49 / MAX: 13.76

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16nihui-pc3691215SE +/- 0.03, N = 79.32MIN: 8.36 / MAX: 31.94

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18nihui-pc0.49730.99461.49191.98922.4865SE +/- 0.02, N = 72.21MIN: 1.83 / MAX: 14.99

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetnihui-pc0.59631.19261.78892.38522.9815SE +/- 0.02, N = 72.65MIN: 2.04 / MAX: 4.25

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50nihui-pc1.0982.1963.2944.3925.49SE +/- 0.03, N = 74.88MIN: 4.04 / MAX: 27.26

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3nihui-pc246810SE +/- 0.09, N = 76.66MIN: 5.2 / MAX: 19.05

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinynihui-pc3691215SE +/- 0.13, N = 712.16MIN: 9.42 / MAX: 36.76