nn gravity 5950X

AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 21.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2106192-IB-NNGRAVITY71&grw&sor.

nn gravity 5950XProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution1234AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS)AMD Starship/Matisse32GB500GB Western Digital WDS500G3X0C-00SJG0AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Navi 10 HDMI AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 21.045.11.0-18-generic (x86_64)GNOME Shell 3.38.4X Server + Wayland4.6 Mesa 21.0.1 (LLVM 11.0.1)1.2.145GCC 10.3.0ext43840x2160OpenBenchmarking.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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009 Security Details- 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

nn gravity 5950Xmnn: squeezenetv1.1gravitymark: 3840 x 2160 - Vulkanmnn: mobilenetV3gravitymark: 2560 x 1440 - Vulkangravitymark: 3840 x 2160 - OpenGLgravitymark: 2560 x 1440 - OpenGLgravitymark: 1920 x 1200 - Vulkangravitymark: 1920 x 1200 - OpenGLmnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1gravitymark: 1920 x 1080 - Vulkanncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2gravitymark: 1920 x 1080 - OpenGLncnn: 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_400m12344.45463.62.16283.960.381.494.493.223.5355.4673.6392.73527.7372400.991225.07351.177211.65993.612.984.344.154.1593.73.925.441.8114.2260.2115.5212.1325.8523.9615.699.964.42563.52.13283.760.981.694.093.523.1885.6053.6132.67328.0372402.099223.85551.646212.99393.812.734.374.134.1693.83.935.341.7913.6860.4015.1311.9125.5923.3915.619.944.43063.62.11083.960.681.694.192.723.0945.6133.5482.61327.9432396.494223.15550.548210.13493.912.594.354.154.1594.33.965.361.8114.0460.2015.4412.0525.3823.0915.5510.034.32563.62.12083.359.982.194.193.722.7355.4753.5792.65427.4912402.680223.91351.705213.41094.012.604.334.154.1894.83.985.391.8113.7860.2415.3112.0725.3822.9115.1310.00OpenBenchmarking.org

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.142311.00222.00443.00664.00885.011SE +/- 0.081, N = 3SE +/- 0.058, N = 8SE +/- 0.022, N = 3SE +/- 0.006, N = 34.3254.4254.4304.454MIN: 4.06 / MAX: 13.14MIN: 3.95 / MAX: 13.7MIN: 4.19 / MAX: 13.77MIN: 4.2 / MAX: 13.681. (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

GravityMark

Resolution: 3840 x 2160 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 3840 x 2160 - Renderer: Vulkan43121428425670SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 363.663.663.663.5

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV334210.48650.9731.45951.9462.4325SE +/- 0.009, N = 3SE +/- 0.021, N = 3SE +/- 0.018, N = 8SE +/- 0.016, N = 32.1102.1202.1322.162MIN: 2.04 / MAX: 2.79MIN: 2.02 / MAX: 11.83MIN: 1.96 / MAX: 11.61MIN: 2.08 / MAX: 12.031. (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

GravityMark

Resolution: 2560 x 1440 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 2560 x 1440 - Renderer: Vulkan312420406080100SE +/- 0.58, N = 3SE +/- 0.30, N = 3SE +/- 0.31, N = 3SE +/- 0.21, N = 383.983.983.783.3

GravityMark

Resolution: 3840 x 2160 - Renderer: OpenGL

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 3840 x 2160 - Renderer: OpenGL23141428425670SE +/- 0.24, N = 3SE +/- 0.26, N = 3SE +/- 0.22, N = 3SE +/- 0.15, N = 360.960.660.359.9

GravityMark

Resolution: 2560 x 1440 - Renderer: OpenGL

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 2560 x 1440 - Renderer: OpenGL432120406080100SE +/- 0.45, N = 3SE +/- 0.86, N = 3SE +/- 0.43, N = 3SE +/- 0.50, N = 382.181.681.681.4

GravityMark

Resolution: 1920 x 1200 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1200 - Renderer: Vulkan143220406080100SE +/- 0.20, N = 3SE +/- 0.38, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 394.494.194.194.0

GravityMark

Resolution: 1920 x 1200 - Renderer: OpenGL

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1200 - Renderer: OpenGL421320406080100SE +/- 0.56, N = 3SE +/- 0.55, N = 3SE +/- 0.64, N = 3SE +/- 0.64, N = 393.793.593.292.7

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-504321612182430SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.17, N = 8SE +/- 0.14, N = 322.7423.0923.1923.54MIN: 21.81 / MAX: 33.05MIN: 21.99 / MAX: 33.51MIN: 21.62 / MAX: 34.11MIN: 22.51 / MAX: 34.521. (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

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.014231.26292.52583.78875.05166.3145SE +/- 0.014, N = 3SE +/- 0.046, N = 3SE +/- 0.093, N = 8SE +/- 0.009, N = 35.4675.4755.6055.613MIN: 5.2 / MAX: 15.12MIN: 5.22 / MAX: 14.58MIN: 5.18 / MAX: 15.5MIN: 5.27 / MAX: 15.211. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_22434210.81881.63762.45643.27524.094SE +/- 0.041, N = 3SE +/- 0.021, N = 3SE +/- 0.036, N = 8SE +/- 0.056, N = 33.5483.5793.6133.639MIN: 3.38 / MAX: 4.56MIN: 3.41 / MAX: 13.05MIN: 3.31 / MAX: 12.85MIN: 3.45 / MAX: 13.351. (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

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.034210.61541.23081.84622.46163.077SE +/- 0.029, N = 3SE +/- 0.019, N = 3SE +/- 0.021, N = 8SE +/- 0.043, N = 32.6132.6542.6732.735MIN: 2.48 / MAX: 11.22MIN: 2.54 / MAX: 3.34MIN: 2.49 / MAX: 11.38MIN: 2.59 / MAX: 3.521. (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

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v34132714212835SE +/- 0.21, N = 3SE +/- 0.57, N = 3SE +/- 0.17, N = 3SE +/- 0.21, N = 827.4927.7427.9428.04MIN: 26.2 / MAX: 114.44MIN: 25.63 / MAX: 38.02MIN: 26.8 / MAX: 37.92MIN: 26.28 / MAX: 38.111. (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

TNN

Target: CPU - Model: DenseNet

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet31245001000150020002500SE +/- 4.60, N = 3SE +/- 3.21, N = 3SE +/- 2.66, N = 3SE +/- 3.84, N = 32396.492400.992402.102402.68MIN: 2350.03 / MAX: 2475.58MIN: 2340.25 / MAX: 2486.65MIN: 2335.18 / MAX: 2487.17MIN: 2336.02 / MAX: 2481.491. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2324150100150200250SE +/- 2.10, N = 3SE +/- 0.83, N = 3SE +/- 0.52, N = 3SE +/- 0.17, N = 3223.16223.86223.91225.07MIN: 215.11 / MAX: 245.22MIN: 221.25 / MAX: 235.85MIN: 222.1 / MAX: 228.25MIN: 221.35 / MAX: 236.011. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v231241224364860SE +/- 0.62, N = 3SE +/- 0.29, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 350.5551.1851.6551.71MIN: 49.21 / MAX: 51.4MIN: 50.67 / MAX: 52.1MIN: 51.22 / MAX: 52.21MIN: 51.45 / MAX: 51.951. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1312450100150200250SE +/- 0.15, N = 3SE +/- 0.68, N = 3SE +/- 0.49, N = 3SE +/- 0.35, N = 3210.13211.66212.99213.41MIN: 209.71 / MAX: 210.55MIN: 210.66 / MAX: 213.22MIN: 212.06 / MAX: 214.18MIN: 212.77 / MAX: 214.351. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

GravityMark

Resolution: 1920 x 1080 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1080 - Renderer: Vulkan432120406080100SE +/- 0.38, N = 3SE +/- 0.29, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 394.093.993.893.6

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mobilenet34213691215SE +/- 0.06, N = 3SE +/- 0.16, N = 4SE +/- 0.17, N = 3SE +/- 0.13, N = 312.5912.6012.7312.98MIN: 11.76 / MAX: 13.68MIN: 11.66 / MAX: 13.89MIN: 11.88 / MAX: 21.2MIN: 12.02 / MAX: 45.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v2-v2 - Model: mobilenet-v241320.98331.96662.94993.93324.9165SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.334.344.354.37MIN: 4.12 / MAX: 5.04MIN: 4.13 / MAX: 5.23MIN: 4.13 / MAX: 5.11MIN: 4.14 / MAX: 12.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v3-v3 - Model: mobilenet-v321340.93381.86762.80143.73524.669SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 44.134.154.154.15MIN: 3.99 / MAX: 4.74MIN: 4 / MAX: 4.93MIN: 4 / MAX: 4.97MIN: 3.98 / MAX: 4.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: shufflenet-v213240.94051.8812.82153.7624.7025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 2SE +/- 0.04, N = 34.154.154.164.18MIN: 4.04 / MAX: 4.79MIN: 4.02 / MAX: 4.84MIN: 4.05 / MAX: 4.74MIN: 4.04 / MAX: 4.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

GravityMark

Resolution: 1920 x 1080 - Renderer: OpenGL

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1080 - Renderer: OpenGL432120406080100SE +/- 0.23, N = 3SE +/- 0.83, N = 3SE +/- 0.60, N = 3SE +/- 0.52, N = 394.894.393.893.7

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mnasnet12340.89551.7912.68653.5824.4775SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 43.923.933.963.98MIN: 3.82 / MAX: 4.57MIN: 3.81 / MAX: 4.46MIN: 3.8 / MAX: 10.68MIN: 3.81 / MAX: 12.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: efficientnet-b023411.2242.4483.6724.8966.12SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 4SE +/- 0.08, N = 35.345.365.395.44MIN: 5.11 / MAX: 6.02MIN: 5.13 / MAX: 6.14MIN: 5.11 / MAX: 6.21MIN: 5.13 / MAX: 13.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: blazeface21340.40730.81461.22191.62922.0365SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 41.791.811.811.81MIN: 1.74 / MAX: 2.35MIN: 1.76 / MAX: 2.24MIN: 1.73 / MAX: 2.34MIN: 1.74 / MAX: 2.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: googlenet243148121620SE +/- 0.18, N = 3SE +/- 0.33, N = 4SE +/- 0.52, N = 3SE +/- 0.50, N = 313.6813.7814.0414.22MIN: 12.81 / MAX: 14.91MIN: 12.5 / MAX: 22.51MIN: 12.63 / MAX: 22.69MIN: 12.76 / MAX: 16.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: vgg1631421428425670SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 4SE +/- 0.06, N = 360.2060.2160.2460.40MIN: 58.58 / MAX: 68.87MIN: 59.16 / MAX: 68.71MIN: 58.54 / MAX: 69.6MIN: 59.24 / MAX: 67.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet18243148121620SE +/- 0.14, N = 3SE +/- 0.17, N = 4SE +/- 0.30, N = 3SE +/- 0.25, N = 315.1315.3115.4415.52MIN: 14.5 / MAX: 16.23MIN: 14.42 / MAX: 23.74MIN: 14.48 / MAX: 25.18MIN: 14.6 / MAX: 25.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: alexnet23413691215SE +/- 0.29, N = 3SE +/- 0.25, N = 3SE +/- 0.17, N = 4SE +/- 0.27, N = 311.9112.0512.0712.13MIN: 11.22 / MAX: 20.72MIN: 11.15 / MAX: 13.2MIN: 11.19 / MAX: 21.92MIN: 11.21 / MAX: 13.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet503421612182430SE +/- 0.06, N = 3SE +/- 0.38, N = 4SE +/- 0.64, N = 3SE +/- 0.44, N = 325.3825.3825.5925.85MIN: 24.45 / MAX: 34.42MIN: 23.94 / MAX: 34.27MIN: 24.1 / MAX: 36MIN: 24.4 / MAX: 35.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: yolov4-tiny4321612182430SE +/- 0.29, N = 4SE +/- 0.04, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 322.9123.0923.3923.96MIN: 21.2 / MAX: 31.98MIN: 21.77 / MAX: 30.9MIN: 21.61 / MAX: 102.02MIN: 21.75 / MAX: 26.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: squeezenet_ssd432148121620SE +/- 0.21, N = 4SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 315.1315.5515.6115.69MIN: 14.03 / MAX: 24.41MIN: 14.74 / MAX: 16.92MIN: 14.82 / MAX: 24.94MIN: 14.8 / MAX: 171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: regnety_400m21433691215SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 4SE +/- 0.02, N = 39.949.9610.0010.03MIN: 9.61 / MAX: 18.41MIN: 9.61 / MAX: 10.66MIN: 9.64 / MAX: 18.81MIN: 9.71 / MAX: 10.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread


Phoronix Test Suite v10.8.4