whiskey nn

Intel Core i7-8565U testing with a Dell 0KTW76 (1.11.0 BIOS) and Intel UHD 620 WHL GT2 3GB on Ubuntu 21.04 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 2106184-IB-WHISKEYNN53
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whiskey nnProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution1213Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)Dell 0KTW76 (1.11.0 BIOS)Intel Cannon Point-LP16GBSK hynix PC401 NVMe 256GBIntel UHD 620 WHL GT2 3GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11acUbuntu 21.045.11.0-17-generic (x86_64)GNOME Shell 3.38.4X Server + Wayland4.6 Mesa 21.0.11.2.145GCC 10.3.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --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 Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.4.3 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

1213Result OverviewPhoronix Test Suite100%103%105%108%NCNNMobile Neural NetworkTNN

whiskey nnmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: 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: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mtnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.112134.2138.15969.70711.4297.3496.92687.35031.667.886.555.587.3912.392.8427.78124.7028.6928.4550.8148.7333.9316.184999.351361.71079.297322.2624.6697.71470.07012.3967.7977.33787.92131.097.736.535.336.6112.292.4324.41122.4228.0028.8351.0248.1133.9814.635016.957361.83479.287322.4944.4388.02072.44011.8197.5028.02691.17134.629.287.846.707.9312.942.8229.33122.2229.2428.3651.3349.7236.0016.895008.610364.84379.095322.557OpenBenchmarking.org

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV312131.05052.1013.15154.2025.2525SE +/- 0.097, N = 6SE +/- 0.294, N = 9SE +/- 0.290, N = 64.2134.6694.438MIN: 2.75 / MAX: 37.92MIN: 2.76 / MAX: 41.29MIN: 2.73 / MAX: 37.331. (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 1.2Model: mobilenetV31213246810Min: 4 / Avg: 4.21 / Max: 4.64Min: 3.83 / Avg: 4.67 / Max: 5.75Min: 3.86 / Avg: 4.44 / Max: 5.761. (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 1.2Model: squeezenetv1.11213246810SE +/- 0.516, N = 6SE +/- 0.134, N = 9SE +/- 0.560, N = 68.1597.7148.020MIN: 5.31 / MAX: 45.6MIN: 5.08 / MAX: 42.88MIN: 5.28 / MAX: 42.891. (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 1.2Model: squeezenetv1.112133691215Min: 7 / Avg: 8.16 / Max: 10.27Min: 7.26 / Avg: 7.71 / Max: 8.4Min: 6.61 / Avg: 8.02 / Max: 10.291. (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 1.2Model: resnet-v2-5012131632486480SE +/- 2.04, N = 6SE +/- 1.34, N = 9SE +/- 1.94, N = 669.7170.0772.44MIN: 45.06 / MAX: 120.73MIN: 45.59 / MAX: 144.43MIN: 43.03 / MAX: 123.711. (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 1.2Model: resnet-v2-5012131428425670Min: 62.15 / Avg: 69.71 / Max: 74.42Min: 63.43 / Avg: 70.07 / Max: 75.11Min: 64.32 / Avg: 72.44 / Max: 78.241. (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 1.2Model: SqueezeNetV1.012133691215SE +/- 0.58, N = 6SE +/- 0.59, N = 9SE +/- 0.69, N = 611.4312.4011.82MIN: 6.92 / MAX: 46.82MIN: 7.09 / MAX: 47.17MIN: 7.45 / MAX: 47.021. (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 1.2Model: SqueezeNetV1.0121348121620Min: 10.43 / Avg: 11.43 / Max: 14.13Min: 10.11 / Avg: 12.4 / Max: 14.59Min: 10.53 / Avg: 11.82 / Max: 14.421. (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 1.2Model: MobileNetV2_2241213246810SE +/- 0.410, N = 6SE +/- 0.322, N = 9SE +/- 0.424, N = 67.3497.7977.502MIN: 4.91 / MAX: 42.87MIN: 4.49 / MAX: 44.32MIN: 4.78 / MAX: 42.091. (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 1.2Model: MobileNetV2_22412133691215Min: 6.78 / Avg: 7.35 / Max: 9.36Min: 6.64 / Avg: 7.8 / Max: 9.43Min: 6.75 / Avg: 7.5 / Max: 9.411. (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 1.2Model: mobilenet-v1-1.01213246810SE +/- 0.266, N = 6SE +/- 0.325, N = 9SE +/- 0.460, N = 66.9267.3378.026MIN: 4.53 / MAX: 42MIN: 4.41 / MAX: 56.93MIN: 4.54 / MAX: 42.441. (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 1.2Model: mobilenet-v1-1.012133691215Min: 6.4 / Avg: 6.93 / Max: 8.16Min: 6.34 / Avg: 7.34 / Max: 8.65Min: 6.58 / Avg: 8.03 / Max: 8.971. (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 1.2Model: inception-v3121320406080100SE +/- 2.16, N = 6SE +/- 1.50, N = 9SE +/- 2.30, N = 687.3587.9291.17MIN: 58.7 / MAX: 149.43MIN: 60.18 / MAX: 216MIN: 63.01 / MAX: 157.681. (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 1.2Model: inception-v3121320406080100Min: 78.41 / Avg: 87.35 / Max: 92.37Min: 79.94 / Avg: 87.92 / Max: 92.1Min: 80.12 / Avg: 91.17 / Max: 94.971. (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 20210525Target: CPU - Model: mobilenet1213816243240SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 1.00, N = 1231.6631.0934.62MIN: 29.89 / MAX: 45.3MIN: 29.41 / MAX: 50.31MIN: 29.5 / MAX: 66.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mobilenet1213714212835Min: 31.47 / Avg: 31.66 / Max: 31.79Min: 31.04 / Avg: 31.09 / Max: 31.17Min: 31.07 / Avg: 34.62 / Max: 38.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v2-v2 - Model: mobilenet-v212133691215SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.30, N = 127.887.739.28MIN: 6.75 / MAX: 28.72MIN: 6.78 / MAX: 20.75MIN: 6.77 / MAX: 28.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v2-v2 - Model: mobilenet-v212133691215Min: 7.76 / Avg: 7.88 / Max: 8.04Min: 7.53 / Avg: 7.73 / Max: 7.84Min: 7.57 / Avg: 9.28 / Max: 10.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v3-v3 - Model: mobilenet-v31213246810SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.29, N = 126.556.537.84MIN: 5.67 / MAX: 21.89MIN: 5.62 / MAX: 20.36MIN: 5.64 / MAX: 27.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v3-v3 - Model: mobilenet-v312133691215Min: 6.47 / Avg: 6.55 / Max: 6.61Min: 6.36 / Avg: 6.53 / Max: 6.62Min: 6.3 / Avg: 7.84 / Max: 8.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: shufflenet-v21213246810SE +/- 0.24, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 125.585.336.70MIN: 4.46 / MAX: 19.28MIN: 4.44 / MAX: 19.23MIN: 4.45 / MAX: 26.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: shufflenet-v212133691215Min: 5.29 / Avg: 5.58 / Max: 6.05Min: 4.99 / Avg: 5.33 / Max: 5.63Min: 5.04 / Avg: 6.7 / Max: 7.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mnasnet1213246810SE +/- 0.76, N = 3SE +/- 0.13, N = 3SE +/- 0.32, N = 127.396.617.93MIN: 5.71 / MAX: 25.8MIN: 5.51 / MAX: 24.81MIN: 5.38 / MAX: 27.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mnasnet12133691215Min: 6.58 / Avg: 7.39 / Max: 8.91Min: 6.35 / Avg: 6.61 / Max: 6.79Min: 6.16 / Avg: 7.93 / Max: 8.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: efficientnet-b012133691215SE +/- 0.93, N = 3SE +/- 1.21, N = 3SE +/- 0.53, N = 1212.3912.2912.94MIN: 9.87 / MAX: 31.5MIN: 9.7 / MAX: 32.14MIN: 9.37 / MAX: 32.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: efficientnet-b0121348121620Min: 11.27 / Avg: 12.39 / Max: 14.24Min: 10.74 / Avg: 12.29 / Max: 14.68Min: 10.42 / Avg: 12.94 / Max: 14.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: blazeface12130.6391.2781.9172.5563.195SE +/- 0.25, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 122.842.432.82MIN: 2.17 / MAX: 20.17MIN: 1.78 / MAX: 14.77MIN: 1.73 / MAX: 19.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: blazeface1213246810Min: 2.4 / Avg: 2.84 / Max: 3.25Min: 2.21 / Avg: 2.43 / Max: 2.87Min: 2.09 / Avg: 2.82 / Max: 3.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: googlenet1213714212835SE +/- 1.74, N = 3SE +/- 0.33, N = 3SE +/- 0.79, N = 1227.7824.4129.33MIN: 21.61 / MAX: 49.25MIN: 21.34 / MAX: 46.45MIN: 21.64 / MAX: 54.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: googlenet1213714212835Min: 24.8 / Avg: 27.78 / Max: 30.82Min: 23.8 / Avg: 24.41 / Max: 24.92Min: 23.49 / Avg: 29.33 / Max: 31.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: vgg161213306090120150SE +/- 1.58, N = 3SE +/- 2.06, N = 3SE +/- 0.51, N = 12124.70122.42122.22MIN: 119.06 / MAX: 152.75MIN: 116.55 / MAX: 143.59MIN: 115.33 / MAX: 151.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: vgg16121320406080100Min: 122.74 / Avg: 124.7 / Max: 127.83Min: 118.79 / Avg: 122.42 / Max: 125.92Min: 118.77 / Avg: 122.22 / Max: 126.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet181213714212835SE +/- 0.45, N = 3SE +/- 0.15, N = 3SE +/- 0.44, N = 1128.6928.0029.24MIN: 25.68 / MAX: 47.58MIN: 24.66 / MAX: 43.73MIN: 24.54 / MAX: 48.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet181213612182430Min: 28.01 / Avg: 28.69 / Max: 29.55Min: 27.74 / Avg: 28 / Max: 28.27Min: 27.63 / Avg: 29.24 / Max: 30.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: alexnet1213714212835SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 1228.4528.8328.36MIN: 23.5 / MAX: 44.61MIN: 25.07 / MAX: 44.17MIN: 24.11 / MAX: 50.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: alexnet1213612182430Min: 28.14 / Avg: 28.45 / Max: 28.64Min: 28.57 / Avg: 28.83 / Max: 29.02Min: 27.96 / Avg: 28.36 / Max: 28.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet5012131224364860SE +/- 0.17, N = 3SE +/- 0.45, N = 3SE +/- 0.53, N = 1250.8151.0251.33MIN: 47.16 / MAX: 73.01MIN: 47.43 / MAX: 65.65MIN: 46.72 / MAX: 85.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet5012131020304050Min: 50.62 / Avg: 50.81 / Max: 51.14Min: 50.51 / Avg: 51.02 / Max: 51.92Min: 50.38 / Avg: 51.33 / Max: 55.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: yolov4-tiny12131122334455SE +/- 2.79, N = 3SE +/- 3.26, N = 3SE +/- 1.23, N = 1248.7348.1149.72MIN: 43.36 / MAX: 72.47MIN: 42.7 / MAX: 72.39MIN: 41.6 / MAX: 82.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: yolov4-tiny12131020304050Min: 45.92 / Avg: 48.73 / Max: 54.3Min: 44.41 / Avg: 48.11 / Max: 54.6Min: 43.59 / Avg: 49.72 / Max: 53.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: squeezenet_ssd1213816243240SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 1.12, N = 1233.9333.9836.00MIN: 31.43 / MAX: 47.03MIN: 31.42 / MAX: 49.93MIN: 31.1 / MAX: 68.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: squeezenet_ssd1213816243240Min: 33.83 / Avg: 33.93 / Max: 34.01Min: 33.83 / Avg: 33.98 / Max: 34.1Min: 33.84 / Avg: 36 / Max: 44.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: regnety_400m121348121620SE +/- 1.42, N = 3SE +/- 1.52, N = 3SE +/- 0.48, N = 1216.1814.6316.89MIN: 12.17 / MAX: 34.3MIN: 11.9 / MAX: 34.3MIN: 11.52 / MAX: 35.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: regnety_400m121348121620Min: 13.34 / Avg: 16.18 / Max: 17.65Min: 13.07 / Avg: 14.63 / Max: 17.68Min: 13.13 / Avg: 16.89 / Max: 181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet121311002200330044005500SE +/- 13.13, N = 3SE +/- 54.64, N = 3SE +/- 41.96, N = 34999.355016.965008.61MIN: 4742.47 / MAX: 6145.4MIN: 4713.73 / MAX: 6219.08MIN: 4652.95 / MAX: 6187.161. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet12139001800270036004500Min: 4973.1 / Avg: 4999.35 / Max: 5012.64Min: 4920.28 / Avg: 5016.96 / Max: 5109.42Min: 4932.91 / Avg: 5008.61 / Max: 5077.831. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2121380160240320400SE +/- 1.80, N = 3SE +/- 2.48, N = 3SE +/- 0.21, N = 3361.71361.83364.84MIN: 353.14 / MAX: 377.98MIN: 352.84 / MAX: 371.32MIN: 355.61 / MAX: 374.781. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2121370140210280350Min: 358.53 / Avg: 361.71 / Max: 364.75Min: 357.64 / Avg: 361.83 / Max: 366.23Min: 364.43 / Avg: 364.84 / Max: 365.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2121320406080100SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 379.3079.2979.10MIN: 78.07 / MAX: 80.36MIN: 78.29 / MAX: 85.04MIN: 78.44 / MAX: 88.281. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v212131530456075Min: 79.12 / Avg: 79.3 / Max: 79.59Min: 79.19 / Avg: 79.29 / Max: 79.47Min: 78.9 / Avg: 79.09 / Max: 79.291. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1121370140210280350SE +/- 0.35, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3322.26322.49322.56MIN: 319.35 / MAX: 330.28MIN: 319.86 / MAX: 323.93MIN: 320.48 / MAX: 326.491. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1121360120180240300Min: 321.6 / Avg: 322.26 / Max: 322.81Min: 322.32 / Avg: 322.49 / Max: 322.71Min: 322.2 / Avg: 322.56 / Max: 322.991. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl