nn

Intel Core i3-12100 testing with a ASRock B660M-HDV (6.02 BIOS) and Intel ADL-S GT1 16GB on Ubuntu 22.04 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 2208136-NE-NN882134066
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August 13 2022
  5 Hours, 31 Minutes
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August 13 2022
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August 13 2022
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nn OpenBenchmarking.orgPhoronix Test SuiteIntel Core i3-12100 @ 5.50GHz (4 Cores / 8 Threads)ASRock B660M-HDV (6.02 BIOS)Intel Device 7aa716GB512GB SabrentIntel ADL-S GT1 16GB (1400MHz)Realtek ALC897MX279IntelUbuntu 22.045.18.0-051800-generic (x86_64)GNOME Shell 42.1X Server 1.20.14 + Wayland4.6 Mesa 22.0.11.2.204GCC 11.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionNn BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCResult OverviewPhoronix Test Suite100%123%147%170%Mobile Neural NetworkMobile Neural NetworkNCNNMobile Neural NetworkNCNNNCNNNCNNNCNNMobile Neural NetworkNCNNNCNNNCNNNCNNNCNNMobile Neural NetworkMobile Neural NetworkMobile Neural NetworkNCNNNCNNNCNNNCNNNCNNNCNNNCNNsqueezenetv1.1MobileNetV2_224CPU - efficientnet-b0mobilenet-v1-1.0CPU - regnety_400mCPU - mnasnetCPU - shufflenet-v2CPU - blazefaceresnet-v2-50CPU - vgg16CPU - resnet18CPU - alexnetCPU - googlenetCPU - resnet50mobilenetV3SqueezeNetV1.0inception-v3CPU - mobilenetCPU - yolov4-tinyCPU - vision_transformerCPU-v3-v3 - mobilenet-v3CPU - squeezenet_ssdCPU - FastestDetCPU-v2-v2 - mobilenet-v2

nn mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3ncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetABC47.2053.9193.6907.12934.5953.7301.3494.91449.958.1515.9325.9725.707.559.0470.9811.570.917.113.112.862.753.3816.8651.8964.2654.3637.65237.9474.7391.3944.62459.6410.2616.0026.3527.728.5510.3059.3112.771.0110.183.503.302.843.4418.0147.0643.0112.6236.78730.4522.4531.2084.65420.677.5414.8324.0723.847.228.6859.3810.910.816.522.762.642.613.2816.38OpenBenchmarking.org

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: inception-v3BAC1224364860SE +/- 0.59, N = 12SE +/- 0.75, N = 951.9047.2147.06MIN: 41.75 / MAX: 124.79MIN: 35.29 / MAX: 96.23MIN: 37.93 / MAX: 66.241. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: mobilenet-v1-1.0BAC0.95961.91922.87883.83844.798SE +/- 0.170, N = 11SE +/- 0.192, N = 94.2653.9193.011MIN: 3.21 / MAX: 15.87MIN: 2.95 / MAX: 12.42MIN: 2.97 / MAX: 3.941. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: MobileNetV2_224BAC0.98171.96342.94513.92684.9085SE +/- 0.178, N = 12SE +/- 0.129, N = 94.3633.6902.623MIN: 3.43 / MAX: 10.2MIN: 2.91 / MAX: 47.88MIN: 2.49 / MAX: 3.771. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: SqueezeNetV1.0BAC246810SE +/- 0.108, N = 12SE +/- 0.140, N = 97.6527.1296.787MIN: 6.24 / MAX: 16.93MIN: 5.2 / MAX: 12.61MIN: 5.26 / MAX: 17.31. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: resnet-v2-50BAC918273645SE +/- 0.12, N = 12SE +/- 0.52, N = 937.9534.6030.45MIN: 31.59 / MAX: 107.25MIN: 26.54 / MAX: 133.01MIN: 26.66 / MAX: 46.581. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: squeezenetv1.1BAC1.06632.13263.19894.26525.3315SE +/- 0.298, N = 12SE +/- 0.217, N = 94.7393.7302.453MIN: 3.31 / MAX: 15.54MIN: 2.8 / MAX: 12.38MIN: 2.42 / MAX: 3.511. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: mobilenetV3BAC0.31370.62740.94111.25481.5685SE +/- 0.025, N = 12SE +/- 0.030, N = 91.3941.3491.208MIN: 1.18 / MAX: 3.73MIN: 1.16 / MAX: 14.49MIN: 1.19 / MAX: 2.131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 20220729Target: CPU - Model: FastestDetACB1.10482.20963.31444.41925.524SE +/- 0.38, N = 3SE +/- 0.14, N = 124.914.654.62MIN: 4 / MAX: 14.64MIN: 4 / MAX: 5.03MIN: 4 / MAX: 7.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerBAC100200300400500SE +/- 1.09, N = 12SE +/- 0.77, N = 3459.64449.95420.67MIN: 376.48 / MAX: 695.19MIN: 379.37 / MAX: 693.84MIN: 376.95 / MAX: 464.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mBAC3691215SE +/- 0.43, N = 12SE +/- 0.10, N = 310.268.157.54MIN: 7.81 / MAX: 21.35MIN: 7.68 / MAX: 9.55MIN: 7.27 / MAX: 8.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdBAC48121620SE +/- 0.24, N = 12SE +/- 0.39, N = 316.0015.9314.83MIN: 14.08 / MAX: 27.47MIN: 14.04 / MAX: 29.65MIN: 14.05 / MAX: 15.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyBAC612182430SE +/- 0.34, N = 12SE +/- 0.52, N = 326.3525.9724.07MIN: 22.43 / MAX: 37.69MIN: 22.44 / MAX: 35.93MIN: 22.42 / MAX: 26.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50BAC714212835SE +/- 0.41, N = 12SE +/- 0.19, N = 327.7225.7023.84MIN: 20.81 / MAX: 46.79MIN: 23.9 / MAX: 35.82MIN: 20.77 / MAX: 28.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetBAC246810SE +/- 0.22, N = 12SE +/- 0.01, N = 38.557.557.22MIN: 7.3 / MAX: 15.37MIN: 7.27 / MAX: 9.68MIN: 7.01 / MAX: 9.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18BAC3691215SE +/- 0.23, N = 12SE +/- 0.04, N = 310.309.048.68MIN: 8.79 / MAX: 15.07MIN: 8.6 / MAX: 11.12MIN: 8.4 / MAX: 9.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ACB1632486480SE +/- 2.68, N = 3SE +/- 2.47, N = 1270.9859.3859.31MIN: 47.17 / MAX: 137.25MIN: 46.99 / MAX: 117.49MIN: 46.88 / MAX: 137.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetBAC3691215SE +/- 0.25, N = 12SE +/- 0.10, N = 312.7711.5710.91MIN: 11.2 / MAX: 20.53MIN: 10.91 / MAX: 13.35MIN: 10.52 / MAX: 12.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceBAC0.22730.45460.68190.90921.1365SE +/- 0.03, N = 12SE +/- 0.01, N = 31.010.910.81MIN: 0.83 / MAX: 2.27MIN: 0.85 / MAX: 1.85MIN: 0.76 / MAX: 2.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0BAC3691215SE +/- 0.70, N = 12SE +/- 0.10, N = 310.187.116.52MIN: 6.61 / MAX: 31.25MIN: 6.64 / MAX: 13.76MIN: 6.27 / MAX: 7.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetBAC0.78751.5752.36253.153.9375SE +/- 0.07, N = 11SE +/- 0.06, N = 33.503.112.76MIN: 2.97 / MAX: 5.66MIN: 2.9 / MAX: 4.21MIN: 2.69 / MAX: 3.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2BAC0.74251.4852.22752.973.7125SE +/- 0.09, N = 12SE +/- 0.06, N = 33.302.862.64MIN: 2.7 / MAX: 9.4MIN: 2.64 / MAX: 3.87MIN: 2.61 / MAX: 3.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3BAC0.6391.2781.9172.5563.195SE +/- 0.01, N = 12SE +/- 0.04, N = 32.842.752.61MIN: 2.66 / MAX: 5MIN: 2.61 / MAX: 4.09MIN: 2.57 / MAX: 3.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2BAC0.7741.5482.3223.0963.87SE +/- 0.01, N = 12SE +/- 0.02, N = 33.443.383.28MIN: 3.25 / MAX: 4.83MIN: 3.24 / MAX: 4.7MIN: 3.2 / MAX: 4.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetBAC48121620SE +/- 0.37, N = 12SE +/- 0.13, N = 318.0116.8616.38MIN: 15.17 / MAX: 33.51MIN: 15.2 / MAX: 24.82MIN: 15.17 / MAX: 17.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread