auggy

AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB 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 2208135-NE-AUGGY111134
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September 01 2022
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auggyOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads)ASUS ROG ZENITH II EXTREME (1603 BIOS)AMD Starship/Matisse64GBSamsung SSD 980 PRO 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioASUS VP28UAquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 22.045.19.0-051900rc7-generic (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47)1.2.204GCC 11.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionAuggy 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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830104d- BAR1 / Visible vRAM Size: 256 MB - vBIOS Version: 113-D1820201-101- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCResult OverviewPhoronix Test Suite100%101%102%103%NCNNUnvanquishedMobile Neural NetworkSVT-AV1

auggyunvanquished: 1920 x 1080 - Highunvanquished: 2560 x 1440 - Highunvanquished: 3840 x 2160 - Highunvanquished: 1920 x 1080 - Ultraunvanquished: 2560 x 1440 - Ultraunvanquished: 3840 x 2160 - Ultraunvanquished: 1920 x 1080 - Mediumunvanquished: 2560 x 1440 - Mediumunvanquished: 3840 x 2160 - Mediumsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 10 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 10 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080pmnn: 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_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetABC256.9254254.8249.4253.5251.7257258.1263.52.16657.18498.629143.1084.94195.943221.704328.6872.1173.4318.5615.233.7792.62820.41715.327.316.878.276.749.773.9817.7628.3211.18.3818.9523.0620.0729.34122.329.49265.3251.8257.5256.1255.7250.5261.4261.4258.12.17158.50696.949140.7614.89395.683220.702333.7372.1053.38318.9365.2723.7402.63420.90715.517.266.818.276.689.753.9219.0329.6413.189.6021.9324.0721.2329.31123.339.45258.3252.5257.3253.7256.7250.9285260.82652.1758.46197.242140.1944.81497.131214.023333.072.0983.46118.7325.3313.812.64620.63415.487.266.838.296.739.713.9217.4928.1111.468.5819.3723.7620.429.04122.539.42OpenBenchmarking.org

Unvanquished

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

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: HighABC60120180240300SE +/- 3.48, N = 3256.9265.3258.3
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: HighABC50100150200250Min: 258.6 / Avg: 265.33 / Max: 270.2

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 2560 x 1440 - Effects Quality: HighABC60120180240300SE +/- 2.64, N = 3254.0251.8252.5
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 2560 x 1440 - Effects Quality: HighABC50100150200250Min: 249 / Avg: 251.83 / Max: 257.1

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 3840 x 2160 - Effects Quality: HighABC60120180240300SE +/- 1.58, N = 3254.8257.5257.3
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 3840 x 2160 - Effects Quality: HighABC50100150200250Min: 254.4 / Avg: 257.53 / Max: 259.5

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: UltraABC60120180240300SE +/- 2.33, N = 3249.4256.1253.7
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: UltraABC50100150200250Min: 253.7 / Avg: 256.13 / Max: 260.8

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 2560 x 1440 - Effects Quality: UltraABC60120180240300SE +/- 1.19, N = 3253.5255.7256.7
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 2560 x 1440 - Effects Quality: UltraABC50100150200250Min: 253.6 / Avg: 255.73 / Max: 257.7

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 3840 x 2160 - Effects Quality: UltraABC50100150200250SE +/- 0.83, N = 3251.7250.5250.9
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 3840 x 2160 - Effects Quality: UltraABC50100150200250Min: 249.4 / Avg: 250.47 / Max: 252.1

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: MediumABC60120180240300SE +/- 2.47, N = 7257.0261.4285.0
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: MediumABC50100150200250Min: 255.8 / Avg: 261.37 / Max: 275.6

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 2560 x 1440 - Effects Quality: MediumABC60120180240300SE +/- 0.97, N = 3258.1261.4260.8
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 2560 x 1440 - Effects Quality: MediumABC50100150200250Min: 259.5 / Avg: 261.4 / Max: 262.7

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 3840 x 2160 - Effects Quality: MediumABC60120180240300SE +/- 1.65, N = 3263.5258.1265.0
OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 3840 x 2160 - Effects Quality: MediumABC50100150200250Min: 255.3 / Avg: 258.13 / Max: 261

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KABC0.48850.9771.46551.9542.4425SE +/- 0.010, N = 32.1662.1712.1701. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KABC246810Min: 2.15 / Avg: 2.17 / Max: 2.181. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KABC1326395265SE +/- 0.40, N = 357.1858.5158.461. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KABC1224364860Min: 57.72 / Avg: 58.51 / Max: 58.981. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KABC20406080100SE +/- 0.50, N = 398.6396.9597.241. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KABC20406080100Min: 95.96 / Avg: 96.95 / Max: 97.481. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KABC306090120150SE +/- 1.42, N = 3143.11140.76140.191. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KABC306090120150Min: 138.12 / Avg: 140.76 / Max: 142.971. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pABC1.11172.22343.33514.44685.5585SE +/- 0.013, N = 34.9414.8934.8141. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pABC246810Min: 4.88 / Avg: 4.89 / Max: 4.921. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pABC20406080100SE +/- 0.43, N = 395.9495.6897.131. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pABC20406080100Min: 95.18 / Avg: 95.68 / Max: 96.541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pABC50100150200250SE +/- 0.64, N = 3221.70220.70214.021. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pABC4080120160200Min: 219.96 / Avg: 220.7 / Max: 221.991. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pABC70140210280350SE +/- 2.16, N = 3328.69333.74333.071. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pABC60120180240300Min: 331.53 / Avg: 333.74 / Max: 338.051. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: mobilenetV3ABC0.47630.95261.42891.90522.3815SE +/- 0.025, N = 32.1172.1052.098MIN: 2.09 / MAX: 2.16MIN: 2.03 / MAX: 2.23MIN: 2.07 / MAX: 2.171. (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 2.0Model: mobilenetV3ABC246810Min: 2.06 / Avg: 2.11 / Max: 2.151. (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: squeezenetv1.1ABC0.77871.55742.33613.11483.8935SE +/- 0.037, N = 33.4303.3833.461MIN: 3.37 / MAX: 4.14MIN: 3.25 / MAX: 4.16MIN: 3.41 / MAX: 3.91. (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: squeezenetv1.1ABC246810Min: 3.31 / Avg: 3.38 / Max: 3.421. (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 2.0Model: resnet-v2-50ABC510152025SE +/- 0.15, N = 318.5618.9418.73MIN: 18.35 / MAX: 18.72MIN: 18.33 / MAX: 19.83MIN: 18.44 / MAX: 19.131. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: resnet-v2-50ABC510152025Min: 18.65 / Avg: 18.94 / Max: 19.131. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: SqueezeNetV1.0ABC1.19952.3993.59854.7985.9975SE +/- 0.055, N = 35.2305.2725.331MIN: 5.18 / MAX: 5.6MIN: 5.14 / MAX: 5.48MIN: 5.29 / MAX: 5.81. (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: SqueezeNetV1.0ABC246810Min: 5.18 / Avg: 5.27 / Max: 5.371. (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_224ABC0.85731.71462.57193.42924.2865SE +/- 0.046, N = 33.7793.7403.810MIN: 3.75 / MAX: 3.85MIN: 3.61 / MAX: 3.97MIN: 3.78 / MAX: 3.961. (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_224ABC246810Min: 3.65 / Avg: 3.74 / Max: 3.791. (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-v1-1.0ABC0.59541.19081.78622.38162.977SE +/- 0.006, N = 32.6282.6342.646MIN: 2.6 / MAX: 2.67MIN: 2.6 / MAX: 2.7MIN: 2.62 / MAX: 2.711. (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 2.0Model: mobilenet-v1-1.0ABC246810Min: 2.62 / Avg: 2.63 / Max: 2.651. (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: inception-v3ABC510152025SE +/- 0.11, N = 320.4220.9120.63MIN: 20.24 / MAX: 20.69MIN: 20.52 / MAX: 21.42MIN: 20.44 / MAX: 21.11. (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: inception-v3ABC510152025Min: 20.7 / Avg: 20.91 / Max: 21.041. (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: mobilenetABC48121620SE +/- 0.05, N = 315.3215.5115.48MIN: 15.15 / MAX: 16.6MIN: 15.28 / MAX: 18.06MIN: 15.34 / MAX: 16.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetABC48121620Min: 15.41 / Avg: 15.51 / Max: 15.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2ABC246810SE +/- 0.02, N = 37.317.267.26MIN: 7.04 / MAX: 8.03MIN: 6.97 / MAX: 8.01MIN: 6.95 / MAX: 7.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2ABC3691215Min: 7.22 / Avg: 7.26 / Max: 7.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ABC246810SE +/- 0.02, N = 36.876.816.83MIN: 6.67 / MAX: 7.42MIN: 6.61 / MAX: 9.25MIN: 6.57 / MAX: 7.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ABC3691215Min: 6.78 / Avg: 6.81 / Max: 6.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2ABC246810SE +/- 0.02, N = 38.278.278.29MIN: 8.02 / MAX: 8.96MIN: 8.01 / MAX: 10.68MIN: 8 / MAX: 10.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2ABC3691215Min: 8.24 / Avg: 8.27 / Max: 8.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetABC246810SE +/- 0.02, N = 36.746.686.73MIN: 6.55 / MAX: 7.37MIN: 6.49 / MAX: 7.78MIN: 6.5 / MAX: 7.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetABC3691215Min: 6.64 / Avg: 6.68 / Max: 6.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0ABC3691215SE +/- 0.01, N = 39.779.759.71MIN: 9.65 / MAX: 12.17MIN: 9.59 / MAX: 11.05MIN: 9.55 / MAX: 10.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0ABC3691215Min: 9.74 / Avg: 9.75 / Max: 9.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceABC0.89551.7912.68653.5824.4775SE +/- 0.00, N = 33.983.923.92MIN: 3.87 / MAX: 4.59MIN: 3.82 / MAX: 6.3MIN: 3.82 / MAX: 4.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceABC246810Min: 3.92 / Avg: 3.92 / Max: 3.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetABC510152025SE +/- 0.15, N = 317.7619.0317.49MIN: 16.58 / MAX: 133.41MIN: 17.64 / MAX: 25.68MIN: 17.11 / MAX: 19.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetABC510152025Min: 18.73 / Avg: 19.03 / Max: 19.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ABC714212835SE +/- 0.36, N = 328.3229.6428.11MIN: 27.47 / MAX: 36.26MIN: 27.98 / MAX: 67.19MIN: 27.47 / MAX: 30.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ABC714212835Min: 28.95 / Avg: 29.64 / Max: 30.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18ABC3691215SE +/- 0.22, N = 311.1013.1811.46MIN: 10.48 / MAX: 13.5MIN: 11.71 / MAX: 15.68MIN: 10.75 / MAX: 13.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18ABC48121620Min: 12.78 / Avg: 13.18 / Max: 13.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetABC3691215SE +/- 0.14, N = 38.389.608.58MIN: 7.66 / MAX: 9.97MIN: 8.48 / MAX: 11.91MIN: 7.76 / MAX: 9.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetABC3691215Min: 9.36 / Avg: 9.6 / Max: 9.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50ABC510152025SE +/- 0.40, N = 318.9521.9319.37MIN: 18.75 / MAX: 20.59MIN: 20.28 / MAX: 23.7MIN: 19.04 / MAX: 21.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50ABC510152025Min: 21.16 / Avg: 21.93 / Max: 22.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyABC612182430SE +/- 0.08, N = 323.0624.0723.76MIN: 22.58 / MAX: 26.58MIN: 23.56 / MAX: 27.7MIN: 23.22 / MAX: 28.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyABC612182430Min: 23.95 / Avg: 24.07 / Max: 24.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdABC510152025SE +/- 0.05, N = 320.0721.2320.40MIN: 18.6 / MAX: 22.68MIN: 19.44 / MAX: 32.91MIN: 18.89 / MAX: 22.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdABC510152025Min: 21.18 / Avg: 21.23 / Max: 21.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mABC714212835SE +/- 0.14, N = 329.3429.3129.04MIN: 28.78 / MAX: 104.04MIN: 28.58 / MAX: 32.16MIN: 28.59 / MAX: 32.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mABC714212835Min: 29.14 / Avg: 29.31 / Max: 29.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerABC306090120150SE +/- 0.25, N = 3122.32123.33122.53MIN: 122.01 / MAX: 124.23MIN: 122.36 / MAX: 139.34MIN: 122.15 / MAX: 129.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerABC20406080100Min: 122.89 / Avg: 123.33 / Max: 123.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetABC3691215SE +/- 0.09, N = 29.499.459.42MIN: 9.13 / MAX: 10.2MIN: 9.07 / MAX: 10.29MIN: 9.14 / MAX: 10.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetABC3691215Min: 9.35 / Avg: 9.45 / Max: 9.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread