Core i5 6500 Xmas

Intel Core i5-6500 testing with a Gigabyte Z170M-D3H-CF (F22f BIOS) and Gigabyte Intel HD 530 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012230-HA-COREI565062&grt.

Core i5 6500 XmasProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen Resolution123Intel Core i5-6500 @ 3.60GHz (4 Cores)Gigabyte Z170M-D3H-CF (F22f BIOS)Intel Xeon E3-1200 v5/E3-15008GB250GB Samsung SSD 850Gigabyte Intel HD 530 3GB (1050MHz)Realtek ALC892G237HLIntel I219-VUbuntu 20.045.9.0-050900rc7daily20200929-generic (x86_64) 20200928GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8OpenCL 2.1GCC 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 Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe2 - Thermald 1.9.1 Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled

Core i5 6500 Xmasai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoreasmfish: 1024 Hash Memory, 26 Depthbasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3basis: UASTC Level 2 + RDO Post-Processingbetsy: ETC1 - Highestbetsy: ETC2 RGB - Highestbuild2: Time To Compileclomp: Static OMP Speedupcoremark: CoreMark Size 666 - Iterations Per Secondcrafty: Elapsed Timeespeak: Text-To-Speech Synthesisgromacs: Water Benchmarkindigobench: CPU - Bedroomindigobench: CPU - Supercarlammps: Rhodopsin Proteincompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedencode-ape: WAV To APEncnn: 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: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mnode-web-tooling: numpy: onednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUencode-opus: WAV To Opus Encodephpbench: PHP Benchmark Suiterav1e: 1rav1e: 5rav1e: 6rav1e: 10redis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDsqlite-speedtest: Timed Time - Size 1,000stockfish: Total Timebuild-eigen: Time To Compilebuild-ffmpeg: Time To Compilehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAvkfft: vkmark: 1280 x 1024vkmark: 1920 x 1080vkresample: 2x - Singleencode-wavpack: WAV To WavPackyquake2: OpenGL 1.x - 1920 x 1080yquake2: OpenGL 3.x - 1920 x 1080yquake2: Software CPU - 1920 x 10801235706251195832146192.21212.58990.837185.451932.00110.8067.653366.3741.692339.760526690360134.3290.4730.4311.0922.6066932.948287.040.798151.539.828175.313.76631.157.996.9510.157.2711.482.6023.9696.7224.8521.0952.4142.8144.3516.7831.138.016.9910.177.2911.502.5823.9596.6924.8221.1052.4342.8244.3316.779.84290.249.3579510.952020.608912.483616.03957407.364258.565.298651.053760.521.053788.580.646201.830.636304.452364.771.612333.251.6110.7526043630.3200.9271.2352.7512297378.171794550.921392673.462147999.51577856.910.570.350.530.5479.077586659094.715164.257130.87412.7621290897611563.06518.144287.8283.087.75746261200837279492.27112.58190.859185.534936.52810.692366.5961.691213.123961692007134.7240.4690.4321.0892.6156912.728234.140.718153.339.718172.613.69631.228.016.9810.157.2811.562.6024.0496.4224.9421.1452.6243.0444.4716.7931.228.017.0110.177.2911.532.5924.0296.3624.9321.1652.6342.8944.4016.829.80290.379.2932310.592420.572412.445015.71967392.854234.395.282131.053759.501.053753.410.646199.550.646219.772334.811.62348.811.6010.7336043940.3210.9271.2352.7531411549.461788107.041400821.832013386.671598272.500.570.350.520.5479.844590658694.653164.258131.04412.7771290897611486.85618.156289.0287.387.55696241193818239892.40012.59290.809185.423931.83311.065368.2691.692299.107666692143534.7810.4670.4331.0912.5876922.748295.140.748152.639.698156.813.70631.118.006.9710.127.2811.502.5924.0196.5025.0521.1252.6243.0044.4316.7531.138.016.9810.137.2911.522.5824.0596.3225.0321.1252.6643.0944.5616.789.86290.309.3240710.100920.536712.519815.90787381.224228.295.267891.073747.781.053782.660.646195.670.636301.032340.681.602326.131.6010.7546042310.320.9291.2372.7561398436.251779981.461378146.831999227.211588544.790.570.350.520.5480.015587672494.980164.273130.99112.8471287897612487.50718.133288.0287.087.2OpenBenchmarking.org

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference Score123120240360480600570574569

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training Score123140280420560700625626624

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI Score12330060090012001500119512001193

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1232M4M6M8M10MSE +/- 107973.49, N = 3SE +/- 79178.35, N = 3SE +/- 27175.55, N = 3832146183727948182398

Basis Universal

Settings: ETC1S

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S12320406080100SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 392.2192.2792.401. (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 +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 312.5912.5812.591. (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 212320406080100SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 390.8490.8690.811. (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 31234080120160200SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3185.45185.53185.421. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 2 + RDO Post-Processing

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-Processing1232004006008001000SE +/- 0.13, N = 3SE +/- 4.57, N = 3SE +/- 0.01, N = 3932.00936.53931.831. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Betsy GPU Compressor

Codec: ETC1 - Quality: Highest

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highest1233691215SE +/- 0.20, N = 12SE +/- 0.35, N = 12SE +/- 0.04, N = 310.8110.6911.071. (CXX) g++ options: -O3 -O2 -lpthread -ldl

Betsy GPU Compressor

Codec: ETC2 RGB - Quality: Highest

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: Highest12468107.6531. (CXX) g++ options: -O3 -O2 -lpthread -ldl

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12380160240320400SE +/- 0.28, N = 3SE +/- 0.89, N = 3SE +/- 0.75, N = 3366.37366.60368.27

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup1230.360.721.081.441.8SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.61.61.61. (CC) gcc options: -fopenmp -O3 -lm

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12320K40K60K80K100KSE +/- 895.01, N = 15SE +/- 787.86, N = 12SE +/- 874.87, N = 1592339.7691213.1292299.111. (CC) gcc options: -O2 -lrt" -lrt

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.5M3M4.5M6M7.5MSE +/- 12299.78, N = 3SE +/- 8201.00, N = 3SE +/- 9587.81, N = 36903601692007169214351. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123816243240SE +/- 0.31, N = 4SE +/- 0.05, N = 4SE +/- 0.04, N = 434.3334.7234.781. (CC) gcc options: -O2 -std=c99

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.10640.21280.31920.42560.532SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 30.4730.4690.4671. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom1230.09740.19480.29220.38960.487SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4310.4320.433

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar1230.24570.49140.73710.98281.2285SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 31.0921.0891.091

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1230.58841.17681.76522.35362.942SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.009, N = 32.6062.6152.5871. (CXX) g++ options: -O3 -pthread -lm

LZ4 Compression

Compression Level: 1 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed12315003000450060007500SE +/- 12.83, N = 3SE +/- 11.80, N = 3SE +/- 10.01, N = 36932.946912.726922.741. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 1 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed1232K4K6K8K10KSE +/- 15.44, N = 3SE +/- 8.75, N = 3SE +/- 19.61, N = 38287.08234.18295.11. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed123918273645SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 340.7940.7140.741. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed1232K4K6K8K10KSE +/- 5.61, N = 3SE +/- 2.71, N = 3SE +/- 4.17, N = 38151.58153.38152.61. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed123918273645SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 339.8239.7139.691. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed1232K4K6K8K10KSE +/- 3.90, N = 3SE +/- 6.11, N = 3SE +/- 8.20, N = 38175.38172.68156.81. (CC) gcc options: -O3

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12348121620SE +/- 0.03, N = 5SE +/- 0.03, N = 5SE +/- 0.04, N = 513.7713.7013.711. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet123714212835SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 331.1531.2231.11MIN: 30.97 / MAX: 32.65MIN: 31.02 / MAX: 31.57MIN: 30.95 / MAX: 33.781. (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 +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37.998.018.00MIN: 7.9 / MAX: 9.11MIN: 7.9 / MAX: 9.49MIN: 7.91 / MAX: 9.291. (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-v3123246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 36.956.986.97MIN: 6.86 / MAX: 8.6MIN: 6.87 / MAX: 8.4MIN: 6.86 / MAX: 8.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.1510.1510.12MIN: 10.1 / MAX: 11.59MIN: 10.1 / MAX: 12.67MIN: 10.08 / MAX: 11.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.277.287.28MIN: 7.23 / MAX: 7.42MIN: 7.23 / MAX: 8.32MIN: 7.23 / MAX: 7.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b01233691215SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 311.4811.5611.50MIN: 11.41 / MAX: 11.68MIN: 11.49 / MAX: 21.55MIN: 11.43 / MAX: 11.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.5851.171.7552.342.925SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.602.602.59MIN: 2.57 / MAX: 2.74MIN: 2.58 / MAX: 2.67MIN: 2.57 / MAX: 2.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 323.9624.0424.01MIN: 23.86 / MAX: 25.31MIN: 23.93 / MAX: 34.03MIN: 23.91 / MAX: 26.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1612320406080100SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 396.7296.4296.50MIN: 96.23 / MAX: 106.95MIN: 96.04 / MAX: 98.54MIN: 96.25 / MAX: 106.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18123612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 324.8524.9425.05MIN: 24.73 / MAX: 25.1MIN: 24.84 / MAX: 25.22MIN: 24.88 / MAX: 34.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet123510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 321.0921.1421.12MIN: 21 / MAX: 21.21MIN: 21.04 / MAX: 21.38MIN: 21.03 / MAX: 30.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231224364860SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 352.4152.6252.62MIN: 52.22 / MAX: 62.55MIN: 52.34 / MAX: 54.88MIN: 52.43 / MAX: 52.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1231020304050SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 342.8143.0443.00MIN: 42.52 / MAX: 88.54MIN: 42.87 / MAX: 43.54MIN: 42.78 / MAX: 45.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd1231020304050SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 344.3544.4744.43MIN: 44.21 / MAX: 46.96MIN: 44.29 / MAX: 54.28MIN: 44.35 / MAX: 44.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m12348121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 316.7816.7916.75MIN: 16.67 / MAX: 17.08MIN: 16.7 / MAX: 17.58MIN: 16.65 / MAX: 18.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet123714212835SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 331.1331.2231.13MIN: 30.96 / MAX: 31.38MIN: 31.06 / MAX: 31.55MIN: 30.98 / MAX: 31.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.018.018.01MIN: 7.9 / MAX: 10.56MIN: 7.92 / MAX: 9.29MIN: 7.92 / MAX: 9.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.997.016.98MIN: 6.89 / MAX: 8.47MIN: 6.89 / MAX: 8.2MIN: 6.86 / MAX: 8.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v21233691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 310.1710.1710.13MIN: 10.1 / MAX: 20.21MIN: 10.1 / MAX: 12.67MIN: 10.08 / MAX: 11.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.297.297.29MIN: 7.21 / MAX: 9.87MIN: 7.24 / MAX: 7.53MIN: 7.23 / MAX: 7.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b01233691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 311.5011.5311.52MIN: 11.45 / MAX: 11.78MIN: 11.48 / MAX: 11.76MIN: 11.45 / MAX: 21.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface1230.58281.16561.74842.33122.914SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.582.592.58MIN: 2.57 / MAX: 2.69MIN: 2.57 / MAX: 2.65MIN: 2.57 / MAX: 2.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet123612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 323.9524.0224.05MIN: 23.84 / MAX: 24.25MIN: 23.9 / MAX: 24.3MIN: 23.91 / MAX: 34.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1612320406080100SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 396.6996.3696.32MIN: 96.44 / MAX: 99.07MIN: 96.17 / MAX: 106.29MIN: 96.07 / MAX: 101.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18123612182430SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 324.8224.9325.03MIN: 24.72 / MAX: 25.21MIN: 24.82 / MAX: 25.26MIN: 24.92 / MAX: 34.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet123510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 321.1021.1621.12MIN: 21.02 / MAX: 23.28MIN: 21.05 / MAX: 22.23MIN: 21.05 / MAX: 21.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet501231224364860SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 352.4352.6352.66MIN: 52.11 / MAX: 62.46MIN: 52.36 / MAX: 62.85MIN: 52.44 / MAX: 54.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny1231020304050SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 342.8242.8943.09MIN: 42.63 / MAX: 44.54MIN: 42.72 / MAX: 43.44MIN: 42.83 / MAX: 43.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd1231020304050SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 344.3344.4044.56MIN: 44.17 / MAX: 54.22MIN: 44.31 / MAX: 45.14MIN: 44.4 / MAX: 80.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m12348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 316.7716.8216.78MIN: 16.69 / MAX: 17.91MIN: 16.74 / MAX: 17.03MIN: 16.68 / MAX: 18.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 39.849.809.861. Nodejs v10.19.0

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark12360120180240300SE +/- 0.14, N = 3SE +/- 0.74, N = 3SE +/- 0.35, N = 3290.24290.37290.30

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.01904, N = 3SE +/- 0.01064, N = 3SE +/- 0.01497, N = 39.357959.293239.32407MIN: 9.27MIN: 9.21MIN: 9.221. (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: CPU1233691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 310.9510.5910.10MIN: 10.83MIN: 10.46MIN: 9.981. (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: CPU123510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 320.6120.5720.54MIN: 20.5MIN: 20.4MIN: 20.431. (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: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 312.4812.4512.52MIN: 12.38MIN: 12.35MIN: 12.41. (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: CPU12348121620SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 316.0415.7215.91MIN: 15.86MIN: 15.52MIN: 15.631. (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: CPU12316003200480064008000SE +/- 2.99, N = 3SE +/- 2.41, N = 3SE +/- 3.80, N = 37407.367392.857381.22MIN: 7387.72MIN: 7385.41MIN: 7370.781. (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: CPU1239001800270036004500SE +/- 17.11, N = 3SE +/- 11.93, N = 3SE +/- 12.19, N = 34258.564234.394228.29MIN: 4223.4MIN: 4217.16MIN: 4211.871. (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: CPU1231.19222.38443.57664.76885.961SE +/- 0.00409, N = 3SE +/- 0.00771, N = 3SE +/- 0.00465, N = 35.298655.282135.26789MIN: 5.23MIN: 5.2MIN: 5.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1230.24080.48160.72240.96321.204SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.051.051.07

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1238001600240032004000SE +/- 10.88, N = 3SE +/- 3.34, N = 3SE +/- 2.19, N = 33760.523759.503747.78

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.23630.47260.70890.94521.1815SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.051.051.05

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1238001600240032004000SE +/- 16.72, N = 3SE +/- 4.07, N = 3SE +/- 11.32, N = 33788.583753.413782.66

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.1440.2880.4320.5760.72SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.640.640.64

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12313002600390052006500SE +/- 17.73, N = 3SE +/- 2.55, N = 3SE +/- 3.51, N = 36201.836199.556195.67

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.1440.2880.4320.5760.72SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.630.640.63

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12314002800420056007000SE +/- 32.75, N = 3SE +/- 7.41, N = 3SE +/- 48.35, N = 36304.456219.776301.03

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1235001000150020002500SE +/- 14.95, N = 3SE +/- 6.39, N = 3SE +/- 7.37, N = 32364.772334.812340.68

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.36230.72461.08691.44921.8115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.611.601.60

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1235001000150020002500SE +/- 11.27, N = 3SE +/- 4.51, N = 3SE +/- 6.47, N = 32333.252348.812326.13

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.36230.72461.08691.44921.8115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.611.601.60

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.03, N = 510.7510.7310.751. (CXX) g++ options: -fvisibility=hidden -logg -lm

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123130K260K390K520K650KSE +/- 530.95, N = 3SE +/- 403.85, N = 3SE +/- 721.53, N = 3604363604394604231

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 11230.07220.14440.21660.28880.361SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.3200.3210.320

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 51230.2090.4180.6270.8361.045SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.9270.9270.929

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 61230.27830.55660.83491.11321.3915SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.2351.2351.237

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 101230.62011.24021.86032.48043.1005SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 32.7512.7532.756

Redis

Test: LPOP

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP123500K1000K1500K2000K2500KSE +/- 4519.60, N = 3SE +/- 4433.16, N = 3SE +/- 13945.24, N = 32297378.171411549.461398436.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SADD

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD123400K800K1200K1600K2000KSE +/- 7511.17, N = 3SE +/- 5626.67, N = 3SE +/- 11495.06, N = 31794550.921788107.041779981.461. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: LPUSH

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH123300K600K900K1200K1500KSE +/- 11099.37, N = 3SE +/- 6852.68, N = 3SE +/- 19289.08, N = 31392673.461400821.831378146.831. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET123500K1000K1500K2000K2500KSE +/- 13688.88, N = 3SE +/- 18018.77, N = 3SE +/- 13990.74, N = 32147999.502013386.671999227.211. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET123300K600K900K1200K1500KSE +/- 16728.26, N = 7SE +/- 19649.82, N = 3SE +/- 14556.44, N = 31577856.911598272.501588544.791. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya1230.12830.25660.38490.51320.6415SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.570.570.571. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.07880.15760.23640.31520.394SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.350.350.351. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.11930.23860.35790.47720.5965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.530.520.521. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.12150.2430.36450.4860.6075SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.540.540.541. (CXX) g++ options: -O3 -pthread

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,00012320406080100SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 379.0879.8480.021. (CC) gcc options: -O2 -ldl -lz -lpthread

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time1231.3M2.6M3.9M5.2M6.5MSE +/- 56096.76, N = 3SE +/- 40231.91, N = 3SE +/- 32753.49, N = 35866590590658658767241. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12320406080100SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 394.7294.6594.98

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile1234080120160200SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3164.26164.26164.27

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3130.87131.04130.991. (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 +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 312.7612.7812.851. (CC) gcc options: -std=c99 -O3 -lm -lpthread

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.112330060090012001500SE +/- 1.20, N = 31290129012871. (CXX) g++ options: -O3 -pthread

VKMark

Resolution: 1280 x 1024

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 10241232004006008001000SE +/- 1.76, N = 3SE +/- 1.00, N = 38978978971. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VKMark

Resolution: 1920 x 1080

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080123130260390520650SE +/- 0.58, N = 3SE +/- 0.58, N = 36116116121. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VkResample

Upscale: 2x - Precision: Single

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single123120240360480600SE +/- 0.89, N = 3SE +/- 1.30, N = 3SE +/- 2.01, N = 3563.07486.86487.511. (CXX) g++ options: -O3 -pthread

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620SE +/- 0.06, N = 5SE +/- 0.08, N = 5SE +/- 0.05, N = 518.1418.1618.131. (CXX) g++ options: -rdynamic

yquake2

Renderer: OpenGL 1.x - Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 1.x - Resolution: 1920 x 108012360120180240300SE +/- 0.38, N = 3SE +/- 0.55, N = 3SE +/- 0.78, N = 3287.8289.0288.01. (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

yquake2

Renderer: OpenGL 3.x - Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 108012360120180240300SE +/- 0.82, N = 3SE +/- 1.37, N = 3SE +/- 1.51, N = 3283.0287.3287.01. (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

yquake2

Renderer: Software CPU - Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 108012320406080100SE +/- 0.06, N = 3SE +/- 0.27, N = 3SE +/- 0.41, N = 387.787.587.21. (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

Phoronix Test Suite v10.8.4