Xeon E5 1680 v3 Xmas

Intel Xeon E5-1680 v3 testing with a ASUS X99-A (3902 BIOS) and eVGA NVIDIA NVE7 1GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012271-HA-XEONE516824&gru.

Xeon E5 1680 v3 XmasProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Xeon E5-1680 v3 @ 3.80GHz (8 Cores / 16 Threads)ASUS X99-A (3902 BIOS)Intel Xeon E7 v3/Xeon16GBPNY CS900 240GBeVGA NVIDIA NVE7 1GBRealtek ALC1150G237HLIntel I218-VUbuntu 20.045.4.0-47-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.3 Mesa 20.0.8GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 Disk Details- MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x43Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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: Not affected + tsx_async_abort: Not affected

Xeon E5 1680 v3 Xmasopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUyquake2: Software CPU - 1920 x 1080embree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastrav1e: 1rav1e: 5rav1e: 6rav1e: 10x265: Bosphorus 4Kx265: Bosphorus 1080pgraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spacecoremark: CoreMark Size 666 - Iterations Per Secondbyte: Dhrystone 2indigobench: CPU - Bedroomindigobench: CPU - Supercarcompilebench: Compilecompilebench: Initial Createcompilebench: Read Compiled Treecompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedsockperf: Throughputffte: N=256, 3D Complex FFT Routinelczero: BLASlczero: Eigencrafty: Elapsed Timestockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthgromacs: Water Benchmarklammps: Rhodopsin Proteinkeydb: hint: FLOATredis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETnode-web-tooling: numpy: ai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scorephpbench: PHP Benchmark Suiteclomp: Static OMP Speedupbrl-cad: VGR Performance Metriccaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200onednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUncnn: 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_400mopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUdolfyn: Computational Fluid Dynamicshmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbuild-ffmpeg: Time To Compilebuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEencode-ogg: WAV To Oggencode-opus: WAV To Opus Encodeespeak: Text-To-Speech Synthesisrnnoise: couchdb: 100 - 1000 - 24astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3sqlite-speedtest: Timed Time - Size 1,000encode-wavpack: WAV To WavPackmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionunpack-firefox: firefox-84.0.source.tar.xzsockperf: Latency Ping Pongsockperf: Latency Under Load1231.881.881.31.35069.475077.1175.48.68049.680710.01469.400212.031910.81203.6215.6510.2818.5636.7869.700.2720.8151.0882.4158.8535.5126259890101648175565270945.86309637390438.71.2972.966760.84357.552243.776098.317499.042.977267.342.067283.626554330109.61078966811051046700296814124404217079180.7545.055470540.93348188152.871622000353.861639601.211289264.921834428.001481853.319.77285.151019106020796264809.988817593071180861509943019604.530126.877523.133412.5520412.55196.334799.1772710.81607.876956.203194531.112474.884529.122472.673.013734533.012480.103.5099320.506.195.406.885.458.172.5515.3947.9514.0211.1627.3729.9124.8120.682114.402113.873070.213074.790.770.7723.207162.57511.35881.843173.72097.31614.15724.7559.67835.72125.711134.6027.006.5941.52334.1065.82210.23847.38388.87479.02215.97767.1761.4622.303.1823.1604.49925.4681.881.881.271.35044.335066.1273.68.61709.735310.05409.419112.137310.79863.6115.6710.2818.5236.7869.210.2720.8161.0932.4258.7536.2226461290101651176575273924.33570337461981.31.2912.963773.58339.322297.296163.867494.042.997256.942.117259.426609730542.46368119611041050692672114141342215776030.7535.026475933.28349172823.112381685556.721625787.131306966.331750688.541456546.489.71289.2010221060208262621810.288995592051185071508533016864.583506.787913.158742.5345712.49806.400149.2346310.75467.903546.212954525.422468.974523.862470.372.988144523.922469.553.4968020.236.235.426.955.638.342.5515.5848.1414.0711.1927.4628.2024.7220.872115.292115.313078.703069.320.770.7723.397163.45411.31781.860172.59297.17914.17024.7499.64337.47925.669134.0857.116.5841.51334.1766.20410.20247.41888.98679.66215.98067.9363.5622.333.1922.8374.48725.9611.881.881.301.35066.615060.1774.88.66759.762910.04779.349912.098410.78683.5515.4310.1018.2936.0268.680.2720.8181.0862.4198.8735.6026461390101656176578273946.97090437177008.11.2982.946653.68376.152286.436152.727503.543.047267.941.607278.726562230708.44876325410911038702127013900575217686620.7555.072475766.15348871675.898171279010.171635637.531243644.161852979.381464928.249.50283.8810221065208762416710.288885592211181491510203017604.557786.811393.144752.5249412.47816.372709.1992110.80747.664746.210704533.642468.804536.472468.252.974474526.332466.093.4603420.446.325.456.975.608.672.6115.4748.1814.0011.1927.4728.9224.7320.952116.992116.843073.953073.870.770.7723.323163.31311.25681.743178.60097.80714.13924.7779.61638.49725.521135.2987.046.5941.50334.2166.22310.20447.50688.93379.31616.01271.2267.8222.333.1923.2174.51024.475OpenBenchmarking.org

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1230.4230.8461.2691.6922.115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.881.881.88

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.4230.8461.2691.6922.115SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.881.881.88

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.29250.5850.87751.171.4625SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.301.271.30

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.29250.5850.87751.171.4625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.31.31.3

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU12311002200330044005500SE +/- 13.21, N = 3SE +/- 8.75, N = 3SE +/- 7.38, N = 35069.475044.335066.61

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU12311002200330044005500SE +/- 9.42, N = 3SE +/- 9.51, N = 3SE +/- 7.20, N = 35077.115066.125060.17

yquake2

Renderer: Software CPU - Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 108012320406080100SE +/- 0.98, N = 5SE +/- 0.35, N = 3SE +/- 0.26, N = 375.473.674.81. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown123246810SE +/- 0.0232, N = 3SE +/- 0.0079, N = 3SE +/- 0.0281, N = 38.68048.61708.6675MIN: 8.59 / MAX: 8.82MIN: 8.56 / MAX: 8.76MIN: 8.57 / MAX: 8.83

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown1233691215SE +/- 0.0256, N = 3SE +/- 0.0397, N = 3SE +/- 0.0193, N = 39.68079.73539.7629MIN: 9.6 / MAX: 9.86MIN: 9.62 / MAX: 9.95MIN: 9.68 / MAX: 9.94

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon1233691215SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 310.0110.0510.05MIN: 9.97 / MAX: 10.12MIN: 9.94 / MAX: 10.21MIN: 9.86 / MAX: 10.24

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj1233691215SE +/- 0.0214, N = 3SE +/- 0.0255, N = 3SE +/- 0.0092, N = 39.40029.41919.3499MIN: 9.33 / MAX: 9.52MIN: 9.36 / MAX: 9.54MIN: 9.3 / MAX: 9.45

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon1233691215SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 312.0312.1412.10MIN: 11.97 / MAX: 12.2MIN: 11.91 / MAX: 12.45MIN: 11.87 / MAX: 12.37

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj1233691215SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 310.8110.8010.79MIN: 10.7 / MAX: 11.01MIN: 10.71 / MAX: 11.01MIN: 10.7 / MAX: 10.96

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium1230.81451.6292.44353.2584.0725SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.623.613.551. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium12348121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 315.6515.6715.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 310.2810.2810.101. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast123510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 318.5618.5218.291. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast123816243240SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 336.7836.7836.021. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast1231632486480SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.22, N = 369.7069.2168.681. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 11230.06120.12240.18360.24480.306SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.2720.2720.272

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 51230.18410.36820.55230.73640.9205SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 30.8150.8160.818

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 61230.24590.49180.73770.98361.2295SE +/- 0.001, N = 3SE +/- 0.006, N = 3SE +/- 0.003, N = 31.0881.0931.086

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 101230.54561.09121.63682.18242.728SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 32.4152.4252.419

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K123246810SE +/- 0.09, N = 8SE +/- 0.12, N = 4SE +/- 0.08, N = 38.858.758.871. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x265

Video Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p123816243240SE +/- 0.53, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 335.5136.2235.601. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

GraphicsMagick

Operation: Swirl

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Swirl12360120180240300SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 32622642641. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Rotate

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Rotate123130260390520650SE +/- 0.33, N = 35986126131. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Sharpen123204060801009090901. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Enhanced123204060801001011011011. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Resizing

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Resizing123140280420560700SE +/- 1.15, N = 3SE +/- 1.15, N = 3SE +/- 0.67, N = 36486516561. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussian1234080120160200SE +/- 0.33, N = 31751761761. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: HWB Color Space

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Space123120240360480600SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 35655755781. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12360K120K180K240K300KSE +/- 1053.72, N = 3SE +/- 590.16, N = 3SE +/- 486.71, N = 3270945.86273924.34273946.971. (CC) gcc options: -O2 -lrt" -lrt

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21238M16M24M32M40MSE +/- 165452.15, N = 3SE +/- 46692.87, N = 3SE +/- 122181.12, N = 337390438.737461981.337177008.1

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom1230.29210.58420.87631.16841.4605SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.2971.2911.298

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar1230.66741.33482.00222.66963.337SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 32.9662.9632.946

Compile Bench

Test: Compile

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Compile123170340510680850SE +/- 8.09, N = 3SE +/- 5.81, N = 3SE +/- 52.39, N = 12760.84773.58653.68

Compile Bench

Test: Initial Create

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Initial Create12380160240320400SE +/- 5.18, N = 3SE +/- 25.84, N = 3SE +/- 7.94, N = 3357.55339.32376.15

Compile Bench

Test: Read Compiled Tree

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled Tree1235001000150020002500SE +/- 25.31, N = 3SE +/- 12.51, N = 3SE +/- 10.79, N = 32243.772297.292286.43

LZ4 Compression

Compression Level: 1 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed12313002600390052006500SE +/- 1.20, N = 3SE +/- 5.37, N = 3SE +/- 8.03, N = 36098.316163.866152.721. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 1 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed12316003200480064008000SE +/- 8.20, N = 3SE +/- 10.99, N = 3SE +/- 10.24, N = 37499.07494.07503.51. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed1231020304050SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 342.9742.9943.041. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed12316003200480064008000SE +/- 4.72, N = 3SE +/- 6.48, N = 3SE +/- 4.32, N = 37267.37256.97267.91. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed1231020304050SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.56, N = 342.0642.1141.601. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed12316003200480064008000SE +/- 5.97, N = 3SE +/- 4.05, N = 3SE +/- 14.52, N = 37283.67259.47278.71. (CC) gcc options: -O3

Sockperf

Test: Throughput

OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: Throughput12360K120K180K240K300KSE +/- 2778.72, N = 25SE +/- 2697.01, N = 25SE +/- 2962.76, N = 52655432660972656221. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1237K14K21K28K35KSE +/- 340.92, N = 3SE +/- 209.55, N = 3SE +/- 89.40, N = 330109.6130542.4630708.451. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1232004006008001000SE +/- 8.29, N = 3SE +/- 4.93, N = 3SE +/- 8.14, N = 31105110410911. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen1232004006008001000SE +/- 2.89, N = 3SE +/- 5.03, N = 3SE +/- 11.79, N = 31046105010381. (CXX) g++ options: -flto -pthread

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.5M3M4.5M6M7.5MSE +/- 8272.92, N = 3SE +/- 19512.27, N = 3SE +/- 33788.32, N = 37002968692672170212701. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time1233M6M9M12M15MSE +/- 166711.74, N = 3SE +/- 71363.03, N = 3SE +/- 194479.46, N = 41412440414141342139005751. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1235M10M15M20M25MSE +/- 260870.39, N = 3SE +/- 222609.71, N = 3SE +/- 288716.85, N = 3217079182157760321768662

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.16990.33980.50970.67960.8495SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.7540.7530.7551. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1231.14122.28243.42364.56485.706SE +/- 0.005, N = 3SE +/- 0.072, N = 3SE +/- 0.007, N = 35.0555.0265.0721. (CXX) g++ options: -O3 -pthread -lm

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16123100K200K300K400K500KSE +/- 1362.98, N = 3SE +/- 111.39, N = 3SE +/- 531.93, N = 3470540.93475933.28475766.151. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12370M140M210M280M350MSE +/- 671953.04, N = 3SE +/- 348495.09, N = 3SE +/- 110846.40, N = 3348188152.87349172823.11348871675.901. (CC) gcc options: -O3 -march=native -lm

Redis

Test: LPOP

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP123400K800K1200K1600K2000KSE +/- 33266.07, N = 15SE +/- 113389.94, N = 12SE +/- 28277.44, N = 152000353.861685556.721279010.171. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SADD

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD123400K800K1200K1600K2000KSE +/- 11131.75, N = 3SE +/- 31572.89, N = 15SE +/- 24311.83, N = 151639601.211625787.131635637.531. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: LPUSH

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH123300K600K900K1200K1500KSE +/- 16275.71, N = 5SE +/- 10203.98, N = 15SE +/- 34112.41, N = 121289264.921306966.331243644.161. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET123400K800K1200K1600K2000KSE +/- 22966.71, N = 3SE +/- 26369.12, N = 15SE +/- 28672.73, N = 31834428.001750688.541852979.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET123300K600K900K1200K1500KSE +/- 34189.05, N = 15SE +/- 26544.26, N = 15SE +/- 32485.29, N = 151481853.311456546.481464928.241. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 39.779.719.501. Nodejs v10.19.0

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark12360120180240300SE +/- 0.88, N = 3SE +/- 0.38, N = 3SE +/- 0.75, N = 3285.15289.20283.88

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference Score1232004006008001000101910221022

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training Score1232004006008001000106010601065

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI Score123400800120016002000207920822087

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123130K260K390K520K650KSE +/- 676.23, N = 3SE +/- 872.14, N = 3SE +/- 1083.96, N = 3626480626218624167

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup1233691215SE +/- 0.14, N = 4SE +/- 0.15, N = 4SE +/- 0.09, N = 39.910.210.21. (CC) gcc options: -fopenmp -O3 -lm

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance Metric12320K40K60K80K100K8881788995888851. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10012313K26K39K52K65KSE +/- 170.12, N = 3SE +/- 51.35, N = 3SE +/- 27.33, N = 35930759205592211. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012330K60K90K120K150KSE +/- 18.73, N = 3SE +/- 244.34, N = 3SE +/- 86.87, N = 31180861185071181491. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012330K60K90K120K150KSE +/- 103.00, N = 3SE +/- 78.70, N = 3SE +/- 108.38, N = 31509941508531510201. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012360K120K180K240K300KSE +/- 189.29, N = 3SE +/- 155.18, N = 3SE +/- 180.52, N = 33019603016863017601. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1231.03132.06263.09394.12525.1565SE +/- 0.01478, N = 3SE +/- 0.03023, N = 3SE +/- 0.02200, N = 34.530124.583504.55778MIN: 4.43MIN: 4.48MIN: 4.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123246810SE +/- 0.01639, N = 3SE +/- 0.02409, N = 3SE +/- 0.03424, N = 36.877526.787916.81139MIN: 6.77MIN: 6.64MIN: 6.681. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1230.71071.42142.13212.84283.5535SE +/- 0.01227, N = 3SE +/- 0.01228, N = 3SE +/- 0.01108, N = 33.133413.158743.14475MIN: 3.07MIN: 3.1MIN: 3.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.57421.14841.72262.29682.871SE +/- 0.01421, N = 3SE +/- 0.01518, N = 3SE +/- 0.01253, N = 32.552042.534572.52494MIN: 2.5MIN: 2.49MIN: 2.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 312.5512.5012.48MIN: 12.41MIN: 12.37MIN: 12.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123246810SE +/- 0.00863, N = 3SE +/- 0.01093, N = 3SE +/- 0.03639, N = 36.334796.400146.37270MIN: 6.26MIN: 6.3MIN: 6.261. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.01399, N = 3SE +/- 0.02794, N = 3SE +/- 0.00829, N = 39.177279.234639.19921MIN: 9.08MIN: 9.09MIN: 9.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 310.8210.7510.81MIN: 10.52MIN: 10.48MIN: 10.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.10075, N = 5SE +/- 0.12917, N = 3SE +/- 0.01396, N = 37.876957.903547.66474MIN: 7.57MIN: 7.65MIN: 7.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.01219, N = 3SE +/- 0.02072, N = 3SE +/- 0.01601, N = 36.203196.212956.21070MIN: 6.12MIN: 6.11MIN: 6.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12310002000300040005000SE +/- 1.69, N = 3SE +/- 1.21, N = 3SE +/- 2.17, N = 34531.114525.424533.64MIN: 4524.03MIN: 4516.35MIN: 4525.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1235001000150020002500SE +/- 2.75, N = 3SE +/- 3.28, N = 3SE +/- 1.82, N = 32474.882468.972468.80MIN: 2467.18MIN: 2460.79MIN: 2463.371. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12310002000300040005000SE +/- 0.35, N = 3SE +/- 3.64, N = 3SE +/- 7.29, N = 34529.124523.864536.47MIN: 4522.47MIN: 4513.41MIN: 4520.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1235001000150020002500SE +/- 0.91, N = 3SE +/- 0.84, N = 3SE +/- 1.99, N = 32472.672470.372468.25MIN: 2467.6MIN: 2466.62MIN: 2462.291. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1230.67811.35622.03432.71243.3905SE +/- 0.00785, N = 3SE +/- 0.00758, N = 3SE +/- 0.00748, N = 33.013732.988142.97447MIN: 2.93MIN: 2.91MIN: 2.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12310002000300040005000SE +/- 2.65, N = 3SE +/- 1.37, N = 3SE +/- 3.38, N = 34533.014523.924526.33MIN: 4522.75MIN: 4517.94MIN: 4516.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1235001000150020002500SE +/- 10.28, N = 3SE +/- 2.48, N = 3SE +/- 0.45, N = 32480.102469.552466.09MIN: 2465MIN: 2462.7MIN: 2461.631. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1230.78971.57942.36913.15883.9485SE +/- 0.00979, N = 3SE +/- 0.02742, N = 3SE +/- 0.01650, N = 33.509933.496803.46034MIN: 3.44MIN: 3.33MIN: 3.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet123510152025SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.20, N = 320.5020.2320.44MIN: 20.12 / MAX: 38.51MIN: 20.1 / MAX: 22.33MIN: 20.12 / MAX: 27.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 36.196.236.32MIN: 6 / MAX: 15.89MIN: 6.01 / MAX: 16.48MIN: 6.04 / MAX: 17.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31231.22632.45263.67894.90526.1315SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 35.405.425.45MIN: 5.25 / MAX: 17.21MIN: 5.27 / MAX: 16.73MIN: 5.3 / MAX: 16.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2123246810SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 36.886.956.97MIN: 6.77 / MAX: 17.73MIN: 6.77 / MAX: 18.58MIN: 6.8 / MAX: 18.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1231.26682.53363.80045.06726.334SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 35.455.635.60MIN: 5.28 / MAX: 16.44MIN: 5.37 / MAX: 17.72MIN: 5.39 / MAX: 16.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0123246810SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.35, N = 38.178.348.67MIN: 8.07 / MAX: 8.37MIN: 8.06 / MAX: 16.21MIN: 8.06 / MAX: 89.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.58731.17461.76192.34922.9365SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 32.552.552.61MIN: 2.48 / MAX: 2.62MIN: 2.51 / MAX: 2.59MIN: 2.55 / MAX: 3.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet12348121620SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 315.3915.5815.47MIN: 15.11 / MAX: 19.35MIN: 15.19 / MAX: 16.78MIN: 15.2 / MAX: 16.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161231122334455SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 347.9548.1448.18MIN: 47.64 / MAX: 50.16MIN: 47.78 / MAX: 64.77MIN: 47.69 / MAX: 57.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1812348121620SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 314.0214.0714.00MIN: 13.88 / MAX: 14.41MIN: 13.87 / MAX: 19.55MIN: 13.86 / MAX: 15.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 311.1611.1911.19MIN: 11.09 / MAX: 11.53MIN: 11.11 / MAX: 11.28MIN: 11.11 / MAX: 20.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50123612182430SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 327.3727.4627.47MIN: 26.85 / MAX: 35.85MIN: 27.01 / MAX: 44.87MIN: 27.05 / MAX: 45.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123714212835SE +/- 0.25, N = 3SE +/- 0.07, N = 3SE +/- 0.76, N = 329.9128.2028.92MIN: 27.91 / MAX: 34.95MIN: 27.88 / MAX: 28.62MIN: 27.88 / MAX: 35.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123612182430SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 324.8124.7224.73MIN: 24.62 / MAX: 48.23MIN: 24.64 / MAX: 26.71MIN: 24.64 / MAX: 27.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123510152025SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 320.6820.8720.95MIN: 20.41 / MAX: 37.64MIN: 20.52 / MAX: 52.3MIN: 20.63 / MAX: 34.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1235001000150020002500SE +/- 0.54, N = 3SE +/- 0.91, N = 3SE +/- 1.10, N = 32114.402115.292116.99

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1235001000150020002500SE +/- 0.83, N = 3SE +/- 0.51, N = 3SE +/- 1.55, N = 32113.872115.312116.84

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1237001400210028003500SE +/- 2.92, N = 3SE +/- 2.89, N = 3SE +/- 0.75, N = 33070.213078.703073.95

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1237001400210028003500SE +/- 1.72, N = 3SE +/- 1.16, N = 3SE +/- 5.64, N = 33074.793069.323073.87

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.17330.34660.51990.69320.8665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.770.770.77

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.17330.34660.51990.69320.8665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.770.770.77

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123612182430SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 323.2123.4023.32

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search1234080120160200SE +/- 0.21, N = 3SE +/- 0.36, N = 3SE +/- 0.13, N = 3162.58163.45163.311. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 311.3611.3211.261. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile12320406080100SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 381.8481.8681.74

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile1234080120160200SE +/- 2.07, N = 5SE +/- 2.37, N = 4SE +/- 1.61, N = 3173.72172.59178.60

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12320406080100SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 397.3297.1897.81

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12348121620SE +/- 0.04, N = 5SE +/- 0.06, N = 5SE +/- 0.05, N = 514.1614.1714.141. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Ogg Audio Encoding

WAV To Ogg

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To Ogg123612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 324.7624.7524.781. (CC) gcc options: -O2 -ffast-math -fsigned-char

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215SE +/- 0.024, N = 5SE +/- 0.033, N = 5SE +/- 0.008, N = 59.6789.6439.6161. (CXX) g++ options: -fvisibility=hidden -logg -lm

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123918273645SE +/- 0.32, N = 4SE +/- 0.44, N = 20SE +/- 0.55, N = 2035.7237.4838.501. (CC) gcc options: -O2 -std=c99

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123612182430SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 325.7125.6725.521. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24123306090120150SE +/- 0.34, N = 3SE +/- 0.62, N = 3SE +/- 2.21, N = 3134.60134.09135.301. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast123246810SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 37.007.117.041. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium123246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.596.586.591. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough123918273645SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 341.5241.5141.501. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive12370140210280350SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3334.10334.17334.211. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Basis Universal

Settings: ETC1S

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S1231530456075SE +/- 0.44, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 365.8266.2066.221. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 0

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 01233691215SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 310.2410.2010.201. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 2

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 21231122334455SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 347.3847.4247.511. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 3

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 312320406080100SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 388.8788.9988.931. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,00012320406080100SE +/- 0.33, N = 3SE +/- 0.41, N = 3SE +/- 0.06, N = 379.0279.6679.321. (CC) gcc options: -O2 -ldl -lz -lpthread

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620SE +/- 0.04, N = 5SE +/- 0.05, N = 5SE +/- 0.05, N = 515.9815.9816.011. (CXX) g++ options: -rdynamic

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231632486480SE +/- 0.62, N = 15SE +/- 0.78, N = 6SE +/- 1.19, N = 367.1767.9371.22

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231530456075SE +/- 0.21, N = 3SE +/- 1.18, N = 12SE +/- 2.69, N = 1261.4663.5667.82

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 322.3022.3322.33

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1230.71781.43562.15342.87123.589SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.183.193.19

Unpacking Firefox

Extracting: firefox-84.0.source.tar.xz

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz123612182430SE +/- 0.31, N = 4SE +/- 0.28, N = 6SE +/- 0.33, N = 423.1622.8423.22

Sockperf

Test: Latency Ping Pong

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping Pong1231.01482.02963.04444.05925.074SE +/- 0.037, N = 25SE +/- 0.032, N = 5SE +/- 0.055, N = 64.4994.4874.5101. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Sockperf

Test: Latency Under Load

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under Load123612182430SE +/- 0.84, N = 25SE +/- 1.08, N = 20SE +/- 1.22, N = 2525.4725.9624.481. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Phoronix Test Suite v10.8.5