10700t mid june

Intel Core i7-10700T testing with a Logic Supply RXM-181 (Z01-0002A026 BIOS) and Intel UHD 630 CML 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 2106215-IB-10700TMID26
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10700t mid juneProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads)Logic Supply RXM-181 (Z01-0002A026 BIOS)Intel Comet Lake PCH32GB256GB TS256GMTS800Intel UHD 630 CML GT2 3GB (1200MHz)Realtek ALC233DELL P2415QIntel I219-LM + Intel I210Ubuntu 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: 0xe0 - Thermald 2.4.3 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.6.1100%100%101%101%NCNNMobile Neural NetworkTNNUnvanquishedGravityMark

10700t mid junegravitymark: 1920 x 1080 - OpenGLgravitymark: 1920 x 1080 - OpenGL ESunvanquished: 800 x 600 - Highunvanquished: 1024 x 768 - Highunvanquished: 800 x 600 - Ultraunvanquished: 1024 x 768 - Ultraunvanquished: 1280 x 1024 - Highunvanquished: 1920 x 1080 - Highunvanquished: 800 x 600 - Mediumunvanquished: 1024 x 768 - Mediumunvanquished: 1280 x 1024 - Ultraunvanquished: 1920 x 1080 - Ultraunvanquished: 1280 x 1024 - Mediumunvanquished: 1920 x 1080 - Mediummnn: 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 v1.11230.69.3213.8207.9137.798.0172.0121.0226.6216.969.451.4206.4164.33.1076.45348.28710.2224.2404.77865.48024.315.815.465.255.579.222.3620.0372.8819.9716.6635.4435.7327.7913.784271.255380.96783.041359.7990.69.3214.6208.8136.198.7172.2121.1226.1220.069.451.5205.7163.03.1276.52748.41010.3584.2594.80566.31524.625.915.485.285.638.702.2420.0473.2419.9516.6936.6536.3828.3513.124279.603384.50183.298360.0640.69.3216.1209.5137.396.4173.1121.4227.1219.969.251.5208.3163.73.1326.57247.33410.2484.2194.72165.25624.926.055.485.575.458.842.3620.6373.2120.8216.6735.9035.8028.1313.854212.975380.43282.926359.500OpenBenchmarking.org

GravityMark

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1080 - Renderer: OpenGL1230.1350.270.4050.540.675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.60.60.6
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1080 - Renderer: OpenGL123246810Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.6 / Avg: 0.6 / Max: 0.6

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1080 - Renderer: OpenGL ES1233691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 39.39.39.3
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1080 - Renderer: OpenGL ES1233691215Min: 9.2 / Avg: 9.27 / Max: 9.3Min: 9.3 / Avg: 9.33 / Max: 9.4Min: 9.3 / Avg: 9.3 / Max: 9.3

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 800 x 600 - Effects Quality: High12350100150200250SE +/- 0.98, N = 3SE +/- 1.87, N = 3SE +/- 0.97, N = 3213.8214.6216.1
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 800 x 600 - Effects Quality: High1234080120160200Min: 212.1 / Avg: 213.83 / Max: 215.5Min: 211 / Avg: 214.63 / Max: 217.2Min: 214.8 / Avg: 216.1 / Max: 218

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1024 x 768 - Effects Quality: High12350100150200250SE +/- 1.56, N = 3SE +/- 0.61, N = 3SE +/- 0.61, N = 3207.9208.8209.5
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1024 x 768 - Effects Quality: High1234080120160200Min: 204.8 / Avg: 207.9 / Max: 209.7Min: 207.8 / Avg: 208.8 / Max: 209.9Min: 208.7 / Avg: 209.5 / Max: 210.7

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 800 x 600 - Effects Quality: Ultra123306090120150SE +/- 1.30, N = 3SE +/- 1.55, N = 3SE +/- 1.17, N = 15137.7136.1137.3
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 800 x 600 - Effects Quality: Ultra123306090120150Min: 135.2 / Avg: 137.67 / Max: 139.6Min: 133.2 / Avg: 136.07 / Max: 138.5Min: 128.4 / Avg: 137.33 / Max: 144.6

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1024 x 768 - Effects Quality: Ultra12320406080100SE +/- 0.44, N = 3SE +/- 0.22, N = 3SE +/- 0.41, N = 398.098.796.4
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1024 x 768 - Effects Quality: Ultra12320406080100Min: 97.2 / Avg: 98.03 / Max: 98.7Min: 98.4 / Avg: 98.67 / Max: 99.1Min: 95.8 / Avg: 96.43 / Max: 97.2

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1280 x 1024 - Effects Quality: High1234080120160200SE +/- 1.78, N = 3SE +/- 1.85, N = 3SE +/- 0.32, N = 3172.0172.2173.1
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1280 x 1024 - Effects Quality: High123306090120150Min: 168.7 / Avg: 172 / Max: 174.8Min: 169.4 / Avg: 172.2 / Max: 175.7Min: 172.6 / Avg: 173.1 / Max: 173.7

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: High123306090120150SE +/- 0.48, N = 3SE +/- 0.54, N = 3SE +/- 0.22, N = 3121.0121.1121.4
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: High12320406080100Min: 120.5 / Avg: 121.03 / Max: 122Min: 120.3 / Avg: 121.07 / Max: 122.1Min: 121 / Avg: 121.43 / Max: 121.7

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 800 x 600 - Effects Quality: Medium12350100150200250SE +/- 0.35, N = 3SE +/- 0.56, N = 3SE +/- 1.18, N = 3226.6226.1227.1
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 800 x 600 - Effects Quality: Medium1234080120160200Min: 226.1 / Avg: 226.63 / Max: 227.3Min: 225 / Avg: 226.07 / Max: 226.9Min: 225.5 / Avg: 227.1 / Max: 229.4

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1024 x 768 - Effects Quality: Medium12350100150200250SE +/- 2.58, N = 3SE +/- 0.15, N = 3SE +/- 1.01, N = 3216.9220.0219.9
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1024 x 768 - Effects Quality: Medium1234080120160200Min: 213.8 / Avg: 216.87 / Max: 222Min: 219.7 / Avg: 220 / Max: 220.2Min: 218.6 / Avg: 219.9 / Max: 221.9

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1280 x 1024 - Effects Quality: Ultra1231530456075SE +/- 0.30, N = 3SE +/- 0.12, N = 3SE +/- 0.26, N = 369.469.469.2
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1280 x 1024 - Effects Quality: Ultra1231326395265Min: 68.8 / Avg: 69.4 / Max: 69.7Min: 69.2 / Avg: 69.37 / Max: 69.6Min: 68.8 / Avg: 69.23 / Max: 69.7

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Ultra1231224364860SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 351.451.551.5
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Ultra1231020304050Min: 51.3 / Avg: 51.4 / Max: 51.5Min: 51.4 / Avg: 51.47 / Max: 51.5Min: 51.4 / Avg: 51.47 / Max: 51.5

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1280 x 1024 - Effects Quality: Medium12350100150200250SE +/- 0.95, N = 3SE +/- 1.66, N = 3SE +/- 1.20, N = 3206.4205.7208.3
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1280 x 1024 - Effects Quality: Medium1234080120160200Min: 204.6 / Avg: 206.4 / Max: 207.8Min: 203.7 / Avg: 205.7 / Max: 209Min: 207.1 / Avg: 208.3 / Max: 210.7

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Medium1234080120160200SE +/- 0.98, N = 3SE +/- 0.78, N = 3SE +/- 0.35, N = 3164.3163.0163.7
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Medium123306090120150Min: 162.9 / Avg: 164.33 / Max: 166.2Min: 161.7 / Avg: 163.03 / Max: 164.4Min: 163 / Avg: 163.67 / Max: 164.2

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: mobilenetV31230.70471.40942.11412.81883.5235SE +/- 0.011, N = 3SE +/- 0.013, N = 3SE +/- 0.024, N = 33.1073.1273.132MIN: 2.58 / MAX: 21.4MIN: 2.6 / MAX: 21.44MIN: 2.58 / MAX: 9.221. (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: mobilenetV3123246810Min: 3.09 / Avg: 3.11 / Max: 3.12Min: 3.11 / Avg: 3.13 / Max: 3.15Min: 3.09 / Avg: 3.13 / Max: 3.171. (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: squeezenetv1.1123246810SE +/- 0.030, N = 3SE +/- 0.034, N = 3SE +/- 0.076, N = 36.4536.5276.572MIN: 5.54 / MAX: 23.26MIN: 5.75 / MAX: 23.61MIN: 5.73 / MAX: 24.781. (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: squeezenetv1.11233691215Min: 6.42 / Avg: 6.45 / Max: 6.51Min: 6.49 / Avg: 6.53 / Max: 6.6Min: 6.47 / Avg: 6.57 / Max: 6.721. (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-v2-501231122334455SE +/- 0.46, N = 3SE +/- 0.67, N = 3SE +/- 0.26, N = 348.2948.4147.33MIN: 43.69 / MAX: 67.49MIN: 43.12 / MAX: 66.35MIN: 43.26 / MAX: 66.931. (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-v2-501231020304050Min: 47.5 / Avg: 48.29 / Max: 49.1Min: 47.07 / Avg: 48.41 / Max: 49.14Min: 47.03 / Avg: 47.33 / Max: 47.841. (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: SqueezeNetV1.01233691215SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 310.2210.3610.25MIN: 8.89 / MAX: 29.71MIN: 8.99 / MAX: 28.72MIN: 8.7 / MAX: 29.051. (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: SqueezeNetV1.01233691215Min: 10.16 / Avg: 10.22 / Max: 10.33Min: 10.26 / Avg: 10.36 / Max: 10.45Min: 10.19 / Avg: 10.25 / 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: MobileNetV2_2241230.95831.91662.87493.83324.7915SE +/- 0.360, N = 3SE +/- 0.380, N = 3SE +/- 0.335, N = 34.2404.2594.219MIN: 3.08 / MAX: 25.55MIN: 3.06 / MAX: 16.02MIN: 3.1 / MAX: 23.031. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224123246810Min: 3.52 / Avg: 4.24 / Max: 4.64Min: 3.5 / Avg: 4.26 / Max: 4.65Min: 3.55 / Avg: 4.22 / Max: 4.561. (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-v1-1.01231.08112.16223.24334.32445.4055SE +/- 0.140, N = 3SE +/- 0.098, N = 3SE +/- 0.139, N = 34.7784.8054.721MIN: 3.86 / MAX: 23.71MIN: 3.9 / MAX: 22.37MIN: 3.89 / MAX: 21.891. (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: mobilenet-v1-1.0123246810Min: 4.54 / Avg: 4.78 / Max: 5.03Min: 4.61 / Avg: 4.81 / Max: 4.93Min: 4.57 / Avg: 4.72 / Max: 51. (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-v31231530456075SE +/- 0.81, N = 3SE +/- 0.27, N = 3SE +/- 0.63, N = 365.4866.3265.26MIN: 59.87 / MAX: 109.47MIN: 59.92 / MAX: 85.86MIN: 59.29 / MAX: 87.211. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v31231326395265Min: 64.1 / Avg: 65.48 / Max: 66.91Min: 65.9 / Avg: 66.31 / Max: 66.83Min: 64.63 / Avg: 65.26 / Max: 66.511. (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

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: mobilenet123612182430SE +/- 0.05, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 324.3124.6224.92MIN: 23.18 / MAX: 36.4MIN: 23.39 / MAX: 37.9MIN: 23.62 / MAX: 37.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mobilenet123612182430Min: 24.21 / Avg: 24.31 / Max: 24.37Min: 24.37 / Avg: 24.62 / Max: 25.05Min: 24.73 / Avg: 24.92 / Max: 25.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 35.815.916.05MIN: 5.21 / MAX: 7.89MIN: 5.27 / MAX: 7.63MIN: 5.26 / MAX: 28.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v2-v2 - Model: mobilenet-v2123246810Min: 5.73 / Avg: 5.81 / Max: 5.94Min: 5.83 / Avg: 5.91 / Max: 5.98Min: 5.82 / Avg: 6.05 / Max: 6.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v3-v3 - Model: mobilenet-v31231.2332.4663.6994.9326.165SE +/- 0.37, N = 3SE +/- 0.39, N = 3SE +/- 0.32, N = 35.465.485.48MIN: 4.37 / MAX: 7.21MIN: 4.35 / MAX: 7.31MIN: 4.47 / MAX: 7.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 4.73 / Avg: 5.46 / Max: 5.85Min: 4.71 / Avg: 5.48 / Max: 5.9Min: 4.85 / Avg: 5.48 / Max: 5.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: shufflenet-v21231.25332.50663.75995.01326.2665SE +/- 0.34, N = 3SE +/- 0.36, N = 3SE +/- 0.42, N = 35.255.285.57MIN: 4.26 / MAX: 7.13MIN: 4.24 / MAX: 7.04MIN: 4.42 / MAX: 16.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: shufflenet-v2123246810Min: 4.57 / Avg: 5.25 / Max: 5.6Min: 4.56 / Avg: 5.28 / Max: 5.69Min: 4.74 / Avg: 5.57 / Max: 6.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mnasnet1231.26682.53363.80045.06726.334SE +/- 0.41, N = 3SE +/- 0.43, N = 3SE +/- 0.54, N = 25.575.635.45MIN: 4.36 / MAX: 8.31MIN: 4.43 / MAX: 17.02MIN: 4.54 / MAX: 10.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mnasnet123246810Min: 4.75 / Avg: 5.57 / Max: 6.02Min: 4.77 / Avg: 5.63 / Max: 6.07Min: 4.91 / Avg: 5.45 / Max: 5.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: efficientnet-b01233691215SE +/- 0.02, N = 3SE +/- 0.59, N = 3SE +/- 0.32, N = 39.228.708.84MIN: 8.25 / MAX: 21.01MIN: 6.96 / MAX: 10.61MIN: 7.15 / MAX: 10.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: efficientnet-b01233691215Min: 9.18 / Avg: 9.22 / Max: 9.25Min: 7.52 / Avg: 8.7 / Max: 9.3Min: 8.21 / Avg: 8.84 / Max: 9.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: blazeface1230.5311.0621.5932.1242.655SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 32.362.242.36MIN: 2.12 / MAX: 6.12MIN: 1.81 / MAX: 13.51MIN: 2.11 / MAX: 3.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: blazeface123246810Min: 2.34 / Avg: 2.36 / Max: 2.37Min: 1.89 / Avg: 2.24 / Max: 2.45Min: 2.33 / Avg: 2.36 / Max: 2.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: googlenet123510152025SE +/- 0.16, N = 3SE +/- 0.66, N = 3SE +/- 0.48, N = 320.0320.0420.63MIN: 18.36 / MAX: 32.6MIN: 15.33 / MAX: 33.65MIN: 18.17 / MAX: 25.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: googlenet123510152025Min: 19.72 / Avg: 20.03 / Max: 20.23Min: 18.84 / Avg: 20.04 / Max: 21.13Min: 20.13 / Avg: 20.63 / Max: 21.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: vgg161231632486480SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 372.8873.2473.21MIN: 71.06 / MAX: 84.38MIN: 71.35 / MAX: 86.36MIN: 71.44 / MAX: 86.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: vgg161231428425670Min: 72.65 / Avg: 72.88 / Max: 73.09Min: 72.75 / Avg: 73.24 / Max: 73.61Min: 72.99 / Avg: 73.21 / Max: 73.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet18123510152025SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.18, N = 319.9719.9520.82MIN: 18.43 / MAX: 31.3MIN: 18.15 / MAX: 33.5MIN: 18.55 / MAX: 31.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet18123510152025Min: 19.87 / Avg: 19.97 / Max: 20.02Min: 19.66 / Avg: 19.95 / Max: 20.42Min: 20.46 / Avg: 20.82 / Max: 21.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: alexnet12348121620SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 316.6616.6916.67MIN: 15 / MAX: 30.02MIN: 15.16 / MAX: 29.57MIN: 15.41 / MAX: 29.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: alexnet12348121620Min: 16.63 / Avg: 16.66 / Max: 16.7Min: 16.64 / Avg: 16.69 / Max: 16.76Min: 16.63 / Avg: 16.67 / Max: 16.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet50123816243240SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.38, N = 335.4436.6535.90MIN: 33.12 / MAX: 45.76MIN: 34.66 / MAX: 50.4MIN: 33.7 / MAX: 50.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet50123816243240Min: 35.23 / Avg: 35.44 / Max: 35.71Min: 36.57 / Avg: 36.65 / Max: 36.72Min: 35.18 / Avg: 35.9 / Max: 36.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: yolov4-tiny123816243240SE +/- 0.53, N = 3SE +/- 0.19, N = 3SE +/- 0.26, N = 335.7336.3835.80MIN: 33.7 / MAX: 46.45MIN: 34.8 / MAX: 48.91MIN: 34.2 / MAX: 48.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: yolov4-tiny123816243240Min: 34.77 / Avg: 35.73 / Max: 36.58Min: 36.01 / Avg: 36.38 / Max: 36.62Min: 35.28 / Avg: 35.8 / Max: 36.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: squeezenet_ssd123714212835SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.55, N = 327.7928.3528.13MIN: 25.74 / MAX: 41.54MIN: 26.33 / MAX: 37.8MIN: 25.75 / MAX: 37.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: squeezenet_ssd123612182430Min: 27.7 / Avg: 27.79 / Max: 27.92Min: 28.11 / Avg: 28.35 / Max: 28.62Min: 27.37 / Avg: 28.13 / Max: 29.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: regnety_400m12348121620SE +/- 0.04, N = 3SE +/- 0.83, N = 3SE +/- 0.05, N = 313.7813.1213.85MIN: 12.63 / MAX: 24.8MIN: 10.75 / MAX: 26.65MIN: 12.63 / MAX: 26.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: regnety_400m12348121620Min: 13.74 / Avg: 13.78 / Max: 13.86Min: 11.47 / Avg: 13.12 / Max: 13.96Min: 13.78 / Avg: 13.85 / Max: 13.941. (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: DenseNet1239001800270036004500SE +/- 13.40, N = 3SE +/- 5.82, N = 3SE +/- 11.71, N = 34271.264279.604212.98MIN: 4206.84 / MAX: 4358.97MIN: 4019.16 / MAX: 4354.65MIN: 3926.66 / MAX: 4290.671. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet1237001400210028003500Min: 4251.5 / Avg: 4271.26 / Max: 4296.82Min: 4272.44 / Avg: 4279.6 / Max: 4291.13Min: 4194.74 / Avg: 4212.98 / Max: 4234.811. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v212380160240320400SE +/- 0.58, N = 3SE +/- 1.58, N = 3SE +/- 0.57, N = 3380.97384.50380.43MIN: 377.6 / MAX: 387.16MIN: 380.16 / MAX: 391.73MIN: 378.4 / MAX: 384.991. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v212370140210280350Min: 379.82 / Avg: 380.97 / Max: 381.72Min: 381.34 / Avg: 384.5 / Max: 386.1Min: 379.34 / Avg: 380.43 / Max: 381.231. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v212320406080100SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 383.0483.3082.93MIN: 82.84 / MAX: 83.91MIN: 82.87 / MAX: 89.37MIN: 82.77 / MAX: 88.641. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v21231632486480Min: 82.89 / Avg: 83.04 / Max: 83.33Min: 82.91 / Avg: 83.3 / Max: 83.73Min: 82.84 / Avg: 82.93 / Max: 83.051. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.112380160240320400SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3359.80360.06359.50MIN: 359.06 / MAX: 360.67MIN: 359.56 / MAX: 363.71MIN: 359.04 / MAX: 360.361. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.112360120180240300Min: 359.57 / Avg: 359.8 / Max: 360.01Min: 359.85 / Avg: 360.06 / Max: 360.2Min: 359.32 / Avg: 359.5 / Max: 359.681. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl