Core i3 7100 Xmas Eve

Intel Core i3-7100 testing with a Gigabyte B250M-DS3H-CF (F9 BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 20.10 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 2012250-HA-COREI371034
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December 24 2020
  9 Hours, 21 Minutes
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December 24 2020
  9 Hours, 17 Minutes
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December 25 2020
  9 Hours, 16 Minutes
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Core i3 7100 Xmas EveProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads)Gigabyte B250M-DS3H-CF (F9 BIOS)Intel Xeon E3-1200 v6/7th + B2508GB250GB Western Digital WDS250G1B0A-Gigabyte Intel HD 630 3GB (1100MHz)Realtek ALC887-VDVA2431Realtek RTL8111/8168/8411Ubuntu 20.105.8.0-28-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1080OpenBenchmarking.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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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: 0xde - Thermald 2.3 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + 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: Mitigation of Microcode + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.4.0m1100%101%103%104%105%SQLiteStockfishVKMarkasmFishHPC ChallengeNode.js V8 Web Tooling BenchmarkTimed MAFFT AlignmentoneDNNCoremarkVkResampleBuild2Craftyrav1eASTC EncoderPHPBenchMonkey Audio EncodingVkFFTTimed Eigen CompilationWavPack Audio EncodingNCNNOpus Codec EncodingTimed FFmpeg CompilationTimed HMMer SearchCLOMPsimdjson

Core i3 7100 Xmas Eveastcenc: Exhaustivevkfft: hpcc: G-HPLbuild2: Time To Compileasmfish: 1024 Hash Memory, 26 Depthbuild-ffmpeg: Time To Compileastcenc: Thoroughncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - resnet50ncnn: CPU - mobilenetncnn: CPU - mnasnetncnn: CPU - yolov4-tinyncnn: CPU - efficientnet-b0ncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - blazefaceonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - f32 - CPUvkmark: 1280 x 1024vkmark: 1920 x 1080clomp: Static OMP Speedupvkresample: 2x - Doublehmmer: Pfam Database Searchstockfish: Total Timeonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUbuild-eigen: Time To Compilenode-web-tooling: rav1e: 1rav1e: 5simdjson: Kostyasqlite: 1vkresample: 2x - Singlesimdjson: LargeRandrav1e: 6simdjson: PartialTweetssimdjson: DistinctUserIDrav1e: 10phpbench: PHP Benchmark Suiteencode-wavpack: WAV To WavPackcrafty: Elapsed Timeastcenc: Mediumcoremark: CoreMark Size 666 - Iterations Per Secondencode-ape: WAV To APEonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUencode-opus: WAV To Opus Encodeonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUmafft: Multiple Sequence Alignment - LSU RNAastcenc: Fastonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUhpcc: Rand Ring Latencyhpcc: G-Rand Accesshpcc: EP-STREAM Triadhpcc: G-Ptranshpcc: EP-DGEMMhpcc: G-Fftehpcc: Rand Ring Bandwidthhpcc: Max Ping Pong Bandwidth1231087.58133286.83917644.7896144009232.085135.2910.6324.9530.82111.3731.513.889.1815.3168.543.129.8657.1715.4418.6047.1147.1957.1568.4324.9318.60111.2931.5530.7515.329.8415.339.1910.6243.073.8613022.312989.912994.09056141.41011.320114.82642329537192.687184.047188.4992.8479.440.2530.7790.4930.315523.0340.371.0350.60.622.40465788716.693733220720.4277661.55799612.78120.064220.04299.59315.79956.9773014.0007.976.0388912.35204.6941115.536124.019920.753713.364124.57570.210350.012709.874791.3112447.154431.755235.147018711.3521104.70133585.29487648.3806257439232.002135.4210.6524.9630.75111.6331.513.879.1815.3368.4243.249.9157.2315.4118.6247.2847.2457.1868.3624.9318.67111.3231.5330.7615.369.8715.329.1510.6443.203.8713494.413484.913403.59066141.41010.740114.83440438717437.087447.307424.1092.7309.340.2480.7790.4931.916532.9570.371.0380.60.622.40665812616.696736977620.4277631.82691912.75220.024719.96849.59715.65806.9703013.8677.976.0311212.35254.8169514.836523.943920.633713.344724.62360.209960.012679.888191.4607647.504031.762105.184628813.0971088.46133286.81380645.3496240412231.806135.3110.6724.9430.74111.5931.523.889.1915.3168.4243.249.8657.2615.3618.6047.1547.2657.1968.4224.9018.58111.0931.4830.7215.379.8615.329.1510.6643.263.8713017.513005.413012.28816061.41006.890114.82641019807207.997201.517201.0992.9209.340.2510.7760.4931.702538.2860.371.0360.600.622.40665629516.709734702120.4278242.22611612.76819.928919.86129.59915.74347.0155914.0047.966.0527112.34014.7098116.181724.053120.744413.323924.60310.209080.012779.820521.4607947.694601.753864.902558644.793OpenBenchmarking.org

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive1232004006008001000SE +/- 0.37, N = 3SE +/- 8.12, N = 3SE +/- 0.17, N = 31087.581104.701088.461. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive1232004006008001000Min: 1087.02 / Avg: 1087.58 / Max: 1088.29Min: 1088.51 / Avg: 1104.7 / Max: 1113.92Min: 1088.17 / Avg: 1088.46 / Max: 1088.761. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.112330060090012001500SE +/- 1.67, N = 3SE +/- 1.20, N = 31332133513321. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.11232004006008001000Min: 1333 / Avg: 1334.67 / Max: 1338Min: 1330 / Avg: 1332.33 / Max: 13341. (CXX) g++ options: -O3 -pthread

HPC Challenge

HPC Challenge (HPCC) is a cluster-focused benchmark consisting of the HPL Linpack TPP benchmark, DGEMM, STREAM, PTRANS, RandomAccess, FFT, and communication bandwidth and latency. This HPC Challenge test profile attempts to ship with standard yet versatile configuration/input files though they can be modified. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-HPL12320406080100SE +/- 0.04, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 386.8485.2986.811. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-HPL1231632486480Min: 86.75 / Avg: 86.84 / Max: 86.9Min: 84.97 / Avg: 85.29 / Max: 85.76Min: 86.51 / Avg: 86.81 / Max: 86.991. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile123140280420560700SE +/- 0.27, N = 3SE +/- 0.56, N = 3SE +/- 0.41, N = 3644.79648.38645.35
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile123110220330440550Min: 644.31 / Avg: 644.79 / Max: 645.24Min: 647.28 / Avg: 648.38 / Max: 649.08Min: 644.86 / Avg: 645.35 / Max: 646.17

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1231.3M2.6M3.9M5.2M6.5MSE +/- 29250.15, N = 3SE +/- 82994.07, N = 3SE +/- 17217.84, N = 3614400962574396240412
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1231.1M2.2M3.3M4.4M5.5MMin: 6087624 / Avg: 6144009 / Max: 6185702Min: 6129742 / Avg: 6257438.67 / Max: 6413125Min: 6206939 / Avg: 6240412.33 / Max: 6264150

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile12350100150200250SE +/- 0.36, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3232.09232.00231.81
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile1234080120160200Min: 231.41 / Avg: 232.09 / Max: 232.62Min: 231.96 / Avg: 232 / Max: 232.08Min: 231.63 / Avg: 231.81 / Max: 231.93

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough123306090120150SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3135.29135.42135.311. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough123306090120150Min: 135.26 / Avg: 135.29 / Max: 135.32Min: 135.39 / Avg: 135.42 / Max: 135.45Min: 135.26 / Avg: 135.31 / Max: 135.41. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 20201218Target: CPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 310.6310.6510.67MIN: 10.46 / MAX: 12.77MIN: 10.45 / MAX: 20.53MIN: 10.49 / MAX: 25.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 10.63 / Avg: 10.63 / Max: 10.64Min: 10.61 / Avg: 10.65 / Max: 10.71Min: 10.64 / Avg: 10.67 / Max: 10.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet123612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 324.9524.9624.94MIN: 24.75 / MAX: 34.42MIN: 24.78 / MAX: 34.8MIN: 24.72 / MAX: 35.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet123612182430Min: 24.93 / Avg: 24.95 / Max: 24.99Min: 24.94 / Avg: 24.96 / Max: 25.01Min: 24.85 / Avg: 24.94 / Max: 25.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18123714212835SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 330.8230.7530.74MIN: 30.55 / MAX: 41.04MIN: 30.52 / MAX: 41.61MIN: 30.51 / MAX: 41.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18123714212835Min: 30.74 / Avg: 30.82 / Max: 30.91Min: 30.66 / Avg: 30.75 / Max: 30.82Min: 30.66 / Avg: 30.74 / Max: 30.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1612320406080100SE +/- 0.11, N = 3SE +/- 0.25, N = 3SE +/- 0.22, N = 3111.37111.63111.59MIN: 110.74 / MAX: 121.81MIN: 110.94 / MAX: 123.3MIN: 110.86 / MAX: 122.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1612320406080100Min: 111.15 / Avg: 111.37 / Max: 111.48Min: 111.36 / Avg: 111.63 / Max: 112.12Min: 111.23 / Avg: 111.59 / Max: 111.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 331.5131.5131.52MIN: 31.3 / MAX: 41.74MIN: 31.31 / MAX: 41.35MIN: 31.29 / MAX: 41.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123714212835Min: 31.48 / Avg: 31.51 / Max: 31.56Min: 31.48 / Avg: 31.51 / Max: 31.53Min: 31.51 / Avg: 31.52 / Max: 31.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.8731.7462.6193.4924.365SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.883.873.88MIN: 3.82 / MAX: 4.53MIN: 3.81 / MAX: 4.48MIN: 3.82 / MAX: 4.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface123246810Min: 3.87 / Avg: 3.88 / Max: 3.88Min: 3.86 / Avg: 3.87 / Max: 3.88Min: 3.88 / Avg: 3.88 / Max: 3.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31233691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 39.189.189.19MIN: 9.02 / MAX: 10.67MIN: 9.03 / MAX: 10.57MIN: 9.02 / MAX: 19.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31233691215Min: 9.17 / Avg: 9.18 / Max: 9.18Min: 9.16 / Avg: 9.18 / Max: 9.22Min: 9.16 / Avg: 9.19 / Max: 9.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v212348121620SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 315.3115.3315.31MIN: 15.18 / MAX: 15.94MIN: 15.14 / MAX: 26.25MIN: 15.14 / MAX: 25.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v212348121620Min: 15.3 / Avg: 15.31 / Max: 15.33Min: 15.25 / Avg: 15.33 / Max: 15.38Min: 15.28 / Avg: 15.31 / Max: 15.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231530456075SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 368.5068.4268.42MIN: 68.08 / MAX: 122.19MIN: 68.09 / MAX: 79.66MIN: 68.07 / MAX: 79.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231326395265Min: 68.4 / Avg: 68.47 / Max: 68.6Min: 68.39 / Avg: 68.42 / Max: 68.48Min: 68.36 / Avg: 68.42 / Max: 68.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet1231020304050SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 343.1243.2443.24MIN: 42.84 / MAX: 53.15MIN: 42.94 / MAX: 54.26MIN: 42.96 / MAX: 53.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet123918273645Min: 43.08 / Avg: 43.12 / Max: 43.15Min: 43.19 / Avg: 43.24 / Max: 43.31Min: 43.23 / Avg: 43.24 / Max: 43.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1233691215SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 39.869.919.86MIN: 9.73 / MAX: 20.02MIN: 9.73 / MAX: 22MIN: 9.74 / MAX: 10.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1233691215Min: 9.84 / Avg: 9.86 / Max: 9.89Min: 9.85 / Avg: 9.91 / Max: 10.02Min: 9.84 / Avg: 9.86 / Max: 9.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1231326395265SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 357.1757.2357.26MIN: 56.85 / MAX: 67.25MIN: 56.88 / MAX: 68MIN: 56.9 / MAX: 67.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1231122334455Min: 57.1 / Avg: 57.17 / Max: 57.27Min: 57.17 / Avg: 57.23 / Max: 57.26Min: 57.21 / Avg: 57.26 / Max: 57.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b012348121620SE +/- 0.04, N = 2SE +/- 0.05, N = 2SE +/- 0.01, N = 315.4415.4115.36MIN: 15.2 / MAX: 25.72MIN: 15.24 / MAX: 25.3MIN: 15.2 / MAX: 16.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b012348121620Min: 15.39 / Avg: 15.44 / Max: 15.48Min: 15.36 / Avg: 15.41 / Max: 15.46Min: 15.34 / Avg: 15.36 / Max: 15.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 318.6018.6218.60MIN: 18.49 / MAX: 28.74MIN: 18.42 / MAX: 26.27MIN: 18.41 / MAX: 291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123510152025Min: 18.57 / Avg: 18.6 / Max: 18.63Min: 18.57 / Avg: 18.62 / Max: 18.66Min: 18.55 / Avg: 18.6 / Max: 18.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd1231122334455SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 347.1147.2847.15MIN: 46.79 / MAX: 57.46MIN: 46.79 / MAX: 58.17MIN: 46.78 / MAX: 57.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd1231020304050Min: 47.03 / Avg: 47.11 / Max: 47.24Min: 47.18 / Avg: 47.28 / Max: 47.41Min: 47.12 / Avg: 47.15 / Max: 47.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd1231122334455SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 347.1947.2447.26MIN: 46.77 / MAX: 98.44MIN: 46.79 / MAX: 55.85MIN: 46.76 / MAX: 57.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd1231020304050Min: 47.05 / Avg: 47.19 / Max: 47.4Min: 47.04 / Avg: 47.24 / Max: 47.45Min: 47.05 / Avg: 47.26 / Max: 47.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny1231326395265SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 357.1557.1857.19MIN: 56.82 / MAX: 67.66MIN: 56.79 / MAX: 67.52MIN: 56.86 / MAX: 67.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny1231122334455Min: 57.14 / Avg: 57.15 / Max: 57.16Min: 57.13 / Avg: 57.18 / Max: 57.27Min: 57.18 / Avg: 57.19 / Max: 57.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet501231530456075SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 368.4368.3668.42MIN: 68.13 / MAX: 78.66MIN: 68.07 / MAX: 79.76MIN: 68.07 / MAX: 79.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet501231326395265Min: 68.35 / Avg: 68.43 / Max: 68.52Min: 68.31 / Avg: 68.36 / Max: 68.39Min: 68.3 / Avg: 68.42 / Max: 68.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet123612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 324.9324.9324.90MIN: 24.74 / MAX: 35MIN: 24.67 / MAX: 34.83MIN: 24.72 / MAX: 35.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet123612182430Min: 24.88 / Avg: 24.93 / Max: 24.95Min: 24.88 / Avg: 24.93 / Max: 24.97Min: 24.86 / Avg: 24.9 / Max: 24.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m123510152025SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 318.6018.6718.58MIN: 18.4 / MAX: 28.6MIN: 18.47 / MAX: 29.58MIN: 18.48 / MAX: 28.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m123510152025Min: 18.53 / Avg: 18.6 / Max: 18.67Min: 18.66 / Avg: 18.67 / Max: 18.69Min: 18.55 / Avg: 18.58 / Max: 18.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1612320406080100SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3111.29111.32111.09MIN: 110.65 / MAX: 122.03MIN: 110.69 / MAX: 121.89MIN: 110.52 / MAX: 121.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1612320406080100Min: 111.1 / Avg: 111.29 / Max: 111.47Min: 111.11 / Avg: 111.32 / Max: 111.46Min: 110.95 / Avg: 111.09 / Max: 111.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet123714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 331.5531.5331.48MIN: 31.32 / MAX: 41.79MIN: 31.34 / MAX: 41.26MIN: 31.29 / MAX: 41.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet123714212835Min: 31.52 / Avg: 31.55 / Max: 31.57Min: 31.5 / Avg: 31.53 / Max: 31.57Min: 31.43 / Avg: 31.48 / Max: 31.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18123714212835SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 330.7530.7630.72MIN: 30.52 / MAX: 40.83MIN: 30.56 / MAX: 41.08MIN: 30.5 / MAX: 40.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18123714212835Min: 30.67 / Avg: 30.75 / Max: 30.86Min: 30.74 / Avg: 30.76 / Max: 30.79Min: 30.67 / Avg: 30.72 / Max: 30.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b012348121620SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 215.3215.3615.37MIN: 15.19 / MAX: 16MIN: 15.2 / MAX: 25.21MIN: 15.21 / MAX: 25.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b012348121620Min: 15.32 / Avg: 15.32 / Max: 15.33Min: 15.31 / Avg: 15.36 / Max: 15.4Min: 15.34 / Avg: 15.37 / Max: 15.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet1233691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 39.849.879.86MIN: 9.75 / MAX: 10.52MIN: 9.75 / MAX: 19.76MIN: 9.72 / MAX: 20.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet1233691215Min: 9.84 / Avg: 9.84 / Max: 9.85Min: 9.86 / Avg: 9.87 / Max: 9.89Min: 9.83 / Avg: 9.86 / Max: 9.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v212348121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 315.3315.3215.32MIN: 15.18 / MAX: 25.5MIN: 15.18 / MAX: 27.16MIN: 15.15 / MAX: 25.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v212348121620Min: 15.29 / Avg: 15.33 / Max: 15.35Min: 15.27 / Avg: 15.32 / Max: 15.37Min: 15.29 / Avg: 15.32 / Max: 15.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.199.159.15MIN: 9.01 / MAX: 19.17MIN: 9.02 / MAX: 10.69MIN: 9.01 / MAX: 10.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31233691215Min: 9.16 / Avg: 9.19 / Max: 9.21Min: 9.14 / Avg: 9.15 / Max: 9.17Min: 9.14 / Avg: 9.15 / Max: 9.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 310.6210.6410.66MIN: 10.45 / MAX: 12.13MIN: 10.46 / MAX: 20.48MIN: 10.45 / MAX: 21.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21233691215Min: 10.61 / Avg: 10.62 / Max: 10.63Min: 10.62 / Avg: 10.64 / Max: 10.68Min: 10.64 / Avg: 10.66 / Max: 10.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet1231020304050SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 343.0743.2043.26MIN: 42.83 / MAX: 53.49MIN: 42.87 / MAX: 53.52MIN: 42.86 / MAX: 53.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet123918273645Min: 43.06 / Avg: 43.07 / Max: 43.08Min: 43.09 / Avg: 43.2 / Max: 43.42Min: 43.09 / Avg: 43.26 / Max: 43.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface1230.87081.74162.61243.48324.354SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.863.873.87MIN: 3.81 / MAX: 4.17MIN: 3.82 / MAX: 4.01MIN: 3.81 / MAX: 4.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface123246810Min: 3.86 / Avg: 3.86 / Max: 3.87Min: 3.85 / Avg: 3.87 / Max: 3.89Min: 3.86 / Avg: 3.87 / Max: 3.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1233K6K9K12K15KSE +/- 34.32, N = 3SE +/- 5.06, N = 3SE +/- 6.69, N = 313022.313494.413017.5MIN: 12970.1MIN: 13309.7MIN: 12988.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1232K4K6K8K10KMin: 12986.9 / Avg: 13022.27 / Max: 13090.9Min: 13485.1 / Avg: 13494.43 / Max: 13502.5Min: 13006.5 / Avg: 13017.53 / Max: 13029.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1233K6K9K12K15KSE +/- 2.60, N = 3SE +/- 28.75, N = 3SE +/- 5.12, N = 312989.913484.913005.4MIN: 12963.9MIN: 13078.8MIN: 12979.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1232K4K6K8K10KMin: 12984.7 / Avg: 12989.87 / Max: 12992.9Min: 13427.9 / Avg: 13484.87 / Max: 13520.1Min: 12996.3 / Avg: 13005.43 / Max: 130141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1233K6K9K12K15KSE +/- 4.10, N = 3SE +/- 76.51, N = 3SE +/- 7.57, N = 312994.013403.513012.2MIN: 12966.6MIN: 13048.6MIN: 12979.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1232K4K6K8K10KMin: 12988.2 / Avg: 12993.97 / Max: 13001.9Min: 13250.5 / Avg: 13403.5 / Max: 13482.5Min: 12997.1 / Avg: 13012.2 / Max: 13020.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

VKMark

VKMark is a collection of Vulkan tests/benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 10241232004006008001000SE +/- 1.00, N = 3SE +/- 0.58, N = 3SE +/- 3.28, N = 39059068811. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF
OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 1024123160320480640800Min: 903 / Avg: 905 / Max: 906Min: 905 / Avg: 906 / Max: 907Min: 875 / Avg: 881.33 / Max: 8861. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080123130260390520650SE +/- 1.20, N = 3SE +/- 0.58, N = 3SE +/- 7.51, N = 36146146061. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF
OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080123110220330440550Min: 612 / Avg: 614.33 / Max: 616Min: 613 / Avg: 614 / Max: 615Min: 591 / Avg: 606 / Max: 6141. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

CLOMP

CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup1230.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.41.41.41. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup123246810Min: 1.4 / Avg: 1.4 / Max: 1.4Min: 1.4 / Avg: 1.4 / Max: 1.4Min: 1.4 / Avg: 1.4 / Max: 1.41. (CC) gcc options: -fopenmp -O3 -lm

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Double1232004006008001000SE +/- 5.17, N = 3SE +/- 4.98, N = 3SE +/- 2.44, N = 31011.321010.741006.891. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Double1232004006008001000Min: 1001.88 / Avg: 1011.32 / Max: 1019.71Min: 1001.91 / Avg: 1010.74 / Max: 1019.16Min: 1003.33 / Avg: 1006.89 / Max: 1011.561. (CXX) g++ options: -O3 -pthread

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3114.83114.83114.831. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 114.75 / Avg: 114.83 / Max: 114.93Min: 114.75 / Avg: 114.83 / Max: 114.96Min: 114.76 / Avg: 114.83 / Max: 114.911. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time123900K1800K2700K3600K4500KSE +/- 40004.50, N = 3SE +/- 24874.87, N = 3SE +/- 14449.66, N = 34232953404387141019801. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time123700K1400K2100K2800K3500KMin: 4180251 / Avg: 4232953 / Max: 4311438Min: 4000273 / Avg: 4043871.33 / Max: 4086423Min: 4079624 / Avg: 4101980.33 / Max: 41290181. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU12316003200480064008000SE +/- 5.80, N = 3SE +/- 4.96, N = 3SE +/- 7.86, N = 37192.687437.087207.99MIN: 7171.23MIN: 7270.53MIN: 7180.311. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU12313002600390052006500Min: 7185.07 / Avg: 7192.68 / Max: 7204.07Min: 7427.38 / Avg: 7437.08 / Max: 7443.76Min: 7192.49 / Avg: 7207.99 / Max: 7218.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU12316003200480064008000SE +/- 4.85, N = 3SE +/- 7.22, N = 3SE +/- 5.32, N = 37184.047447.307201.51MIN: 7162.14MIN: 7277.81MIN: 7179.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU12313002600390052006500Min: 7174.93 / Avg: 7184.04 / Max: 7191.47Min: 7433.73 / Avg: 7447.3 / Max: 7458.35Min: 7193.22 / Avg: 7201.51 / Max: 7211.421. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU12316003200480064008000SE +/- 4.08, N = 3SE +/- 4.88, N = 3SE +/- 2.75, N = 37188.497424.107201.09MIN: 7171.82MIN: 7267.22MIN: 7180.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU12313002600390052006500Min: 7183.03 / Avg: 7188.49 / Max: 7196.48Min: 7417.09 / Avg: 7424.1 / Max: 7433.48Min: 7196.37 / Avg: 7201.09 / Max: 7205.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12320406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 392.8592.7392.92
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12320406080100Min: 92.81 / Avg: 92.85 / Max: 92.9Min: 92.67 / Avg: 92.73 / Max: 92.78Min: 92.89 / Avg: 92.92 / Max: 92.95

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 39.449.349.341. Nodejs v12.18.2
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215Min: 9.26 / Avg: 9.44 / Max: 9.6Min: 9.26 / Avg: 9.34 / Max: 9.42Min: 9.31 / Avg: 9.34 / Max: 9.41. Nodejs v12.18.2

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 11230.05690.11380.17070.22760.2845SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.2530.2480.251
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 112312345Min: 0.25 / Avg: 0.25 / Max: 0.25Min: 0.25 / Avg: 0.25 / Max: 0.25Min: 0.25 / Avg: 0.25 / Max: 0.25

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 51230.17530.35060.52590.70120.8765SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 30.7790.7790.776
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5123246810Min: 0.77 / Avg: 0.78 / Max: 0.78Min: 0.77 / Avg: 0.78 / Max: 0.78Min: 0.77 / Avg: 0.78 / Max: 0.78

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya1230.11030.22060.33090.44120.5515SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.490.490.491. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya123246810Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.49 / Avg: 0.49 / Max: 0.491. (CXX) g++ options: -O3 -pthread

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 1123714212835SE +/- 0.36, N = 15SE +/- 0.04, N = 3SE +/- 0.36, N = 330.3231.9231.701. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 1123714212835Min: 28.89 / Avg: 30.32 / Max: 33.37Min: 31.84 / Avg: 31.92 / Max: 31.96Min: 31.16 / Avg: 31.7 / Max: 32.391. (CC) gcc options: -O2 -lz -lm -ldl -lpthread

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single123120240360480600SE +/- 3.39, N = 3SE +/- 4.10, N = 3SE +/- 4.21, N = 3523.03532.96538.291. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single123100200300400500Min: 517.19 / Avg: 523.03 / Max: 528.93Min: 528.55 / Avg: 532.96 / Max: 541.15Min: 529.89 / Avg: 538.29 / Max: 542.911. (CXX) g++ options: -O3 -pthread

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.08330.16660.24990.33320.4165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.370.370.371. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom12312345Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.371. (CXX) g++ options: -O3 -pthread

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 61230.23360.46720.70080.93441.168SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.0351.0381.036
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6123246810Min: 1.03 / Avg: 1.04 / Max: 1.04Min: 1.04 / Avg: 1.04 / Max: 1.04Min: 1.04 / Avg: 1.04 / Max: 1.04

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.1350.270.4050.540.675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.600.600.601. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets123246810Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.6 / Avg: 0.6 / Max: 0.611. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.620.620.621. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID123246810Min: 0.62 / Avg: 0.62 / Max: 0.62Min: 0.62 / Avg: 0.62 / Max: 0.62Min: 0.62 / Avg: 0.62 / Max: 0.621. (CXX) g++ options: -O3 -pthread

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 101230.54141.08281.62422.16562.707SE +/- 0.008, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 32.4042.4062.406
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10123246810Min: 2.39 / Avg: 2.4 / Max: 2.41Min: 2.4 / Avg: 2.41 / Max: 2.41Min: 2.4 / Avg: 2.41 / Max: 2.41

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123140K280K420K560K700KSE +/- 1373.01, N = 3SE +/- 1397.02, N = 3SE +/- 1397.20, N = 3657887658126656295
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123110K220K330K440K550KMin: 655159 / Avg: 657887.33 / Max: 659521Min: 655487 / Avg: 658126.33 / Max: 660240Min: 653528 / Avg: 656295.33 / Max: 658015

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 516.6916.7016.711. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620Min: 16.69 / Avg: 16.69 / Max: 16.7Min: 16.69 / Avg: 16.7 / Max: 16.7Min: 16.69 / Avg: 16.71 / Max: 16.781. (CXX) g++ options: -rdynamic

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.6M3.2M4.8M6.4M8MSE +/- 19203.96, N = 3SE +/- 11879.59, N = 3SE +/- 3975.85, N = 37332207736977673470211. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.3M2.6M3.9M5.2M6.5MMin: 7301846 / Avg: 7332207.33 / Max: 7367760Min: 7355287 / Avg: 7369776.33 / Max: 7393328Min: 7339539 / Avg: 7347020.67 / Max: 73530941. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium123510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 320.4220.4220.421. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium123510152025Min: 20.41 / Avg: 20.42 / Max: 20.43Min: 20.41 / Avg: 20.42 / Max: 20.42Min: 20.41 / Avg: 20.42 / Max: 20.431. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12320K40K60K80K100KSE +/- 672.82, N = 3SE +/- 652.47, N = 3SE +/- 631.76, N = 377661.5677631.8378242.231. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12314K28K42K56K70KMin: 76317.67 / Avg: 77661.56 / Max: 78392.94Min: 76687.12 / Avg: 77631.83 / Max: 78883.79Min: 77008.23 / Avg: 78242.23 / Max: 79094.371. (CC) gcc options: -O2 -lrt" -lrt

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE1233691215SE +/- 0.04, N = 5SE +/- 0.07, N = 5SE +/- 0.07, N = 512.7812.7512.771. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12348121620Min: 12.65 / Avg: 12.78 / Max: 12.87Min: 12.57 / Avg: 12.75 / Max: 12.99Min: 12.6 / Avg: 12.77 / Max: 12.981. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123510152025SE +/- 0.24, N = 3SE +/- 0.26, N = 3SE +/- 0.04, N = 320.0620.0219.93MIN: 19.52MIN: 19.56MIN: 19.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123510152025Min: 19.73 / Avg: 20.06 / Max: 20.52Min: 19.73 / Avg: 20.02 / Max: 20.53Min: 19.87 / Avg: 19.93 / Max: 20.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123510152025SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 320.0419.9719.86MIN: 19.64MIN: 19.66MIN: 19.641. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123510152025Min: 19.85 / Avg: 20.04 / Max: 20.23Min: 19.91 / Avg: 19.97 / Max: 20.08Min: 19.84 / Avg: 19.86 / Max: 19.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215SE +/- 0.021, N = 5SE +/- 0.022, N = 5SE +/- 0.022, N = 59.5939.5979.5991. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215Min: 9.56 / Avg: 9.59 / Max: 9.67Min: 9.56 / Avg: 9.6 / Max: 9.68Min: 9.57 / Avg: 9.6 / Max: 9.691. (CXX) g++ options: -fvisibility=hidden -logg -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU12348121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.8015.6615.74MIN: 14.73MIN: 14.75MIN: 14.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU12348121620Min: 15.74 / Avg: 15.8 / Max: 15.83Min: 15.63 / Avg: 15.66 / Max: 15.67Min: 15.73 / Avg: 15.74 / Max: 15.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.01584, N = 3SE +/- 0.01316, N = 3SE +/- 0.03839, N = 36.977306.970307.01559MIN: 6.86MIN: 6.87MIN: 6.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1233691215Min: 6.95 / Avg: 6.98 / Max: 7Min: 6.95 / Avg: 6.97 / Max: 6.99Min: 6.96 / Avg: 7.02 / Max: 7.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 314.0013.8714.001. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620Min: 13.85 / Avg: 14 / Max: 14.12Min: 13.83 / Avg: 13.87 / Max: 13.95Min: 13.82 / Avg: 14 / Max: 14.21. (CC) gcc options: -std=c99 -O3 -lm -lpthread

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.977.977.961. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1233691215Min: 7.96 / Avg: 7.97 / Max: 7.98Min: 7.96 / Avg: 7.97 / Max: 7.97Min: 7.96 / Avg: 7.96 / Max: 7.971. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810SE +/- 0.00365, N = 3SE +/- 0.00495, N = 3SE +/- 0.00775, N = 36.038896.031126.05271MIN: 5.92MIN: 5.89MIN: 5.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810Min: 6.03 / Avg: 6.04 / Max: 6.05Min: 6.02 / Avg: 6.03 / Max: 6.04Min: 6.04 / Avg: 6.05 / Max: 6.061. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 312.3512.3512.34MIN: 12.13MIN: 12.09MIN: 12.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU12348121620Min: 12.33 / Avg: 12.35 / Max: 12.37Min: 12.34 / Avg: 12.35 / Max: 12.36Min: 12.33 / Avg: 12.34 / Max: 12.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1231.08382.16763.25144.33525.419SE +/- 0.05317, N = 3SE +/- 0.00803, N = 3SE +/- 0.00674, N = 34.694114.816954.70981MIN: 4.48MIN: 4.39MIN: 4.561. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 4.64 / Avg: 4.69 / Max: 4.8Min: 4.81 / Avg: 4.82 / Max: 4.83Min: 4.7 / Avg: 4.71 / Max: 4.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU12348121620SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 315.5414.8416.18MIN: 15.01MIN: 14.45MIN: 15.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU12348121620Min: 15.46 / Avg: 15.54 / Max: 15.64Min: 14.81 / Avg: 14.84 / Max: 14.88Min: 16.15 / Avg: 16.18 / Max: 16.211. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 324.0223.9424.05MIN: 23.78MIN: 23.7MIN: 23.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123612182430Min: 23.99 / Avg: 24.02 / Max: 24.05Min: 23.91 / Avg: 23.94 / Max: 23.99Min: 24.03 / Avg: 24.05 / Max: 24.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 320.7520.6320.74MIN: 20.42MIN: 20.39MIN: 20.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123510152025Min: 20.71 / Avg: 20.75 / Max: 20.78Min: 20.55 / Avg: 20.63 / Max: 20.7Min: 20.71 / Avg: 20.74 / Max: 20.791. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 313.3613.3413.32MIN: 13.2MIN: 13.14MIN: 13.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU12348121620Min: 13.32 / Avg: 13.36 / Max: 13.4Min: 13.25 / Avg: 13.34 / Max: 13.4Min: 13.32 / Avg: 13.32 / Max: 13.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU123612182430SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 324.5824.6224.60MIN: 24.35MIN: 24.37MIN: 24.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU123612182430Min: 24.44 / Avg: 24.58 / Max: 24.67Min: 24.55 / Avg: 24.62 / Max: 24.68Min: 24.59 / Avg: 24.6 / Max: 24.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

HPC Challenge

HPC Challenge (HPCC) is a cluster-focused benchmark consisting of the HPL Linpack TPP benchmark, DGEMM, STREAM, PTRANS, RandomAccess, FFT, and communication bandwidth and latency. This HPC Challenge test profile attempts to ship with standard yet versatile configuration/input files though they can be modified. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgusecs, Fewer Is BetterHPC Challenge 1.5.0Test / Class: Random Ring Latency1230.04730.09460.14190.18920.2365SE +/- 0.00110, N = 3SE +/- 0.00200, N = 3SE +/- 0.00069, N = 30.210350.209960.209081. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgusecs, Fewer Is BetterHPC Challenge 1.5.0Test / Class: Random Ring Latency12312345Min: 0.21 / Avg: 0.21 / Max: 0.21Min: 0.21 / Avg: 0.21 / Max: 0.21Min: 0.21 / Avg: 0.21 / Max: 0.211. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGUP/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Random Access1230.00290.00580.00870.01160.0145SE +/- 0.00008, N = 3SE +/- 0.00011, N = 3SE +/- 0.00004, N = 30.012700.012670.012771. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGUP/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Random Access12312345Min: 0.01 / Avg: 0.01 / Max: 0.01Min: 0.01 / Avg: 0.01 / Max: 0.01Min: 0.01 / Avg: 0.01 / Max: 0.011. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: EP-STREAM Triad1233691215SE +/- 0.01832, N = 3SE +/- 0.00967, N = 3SE +/- 0.01214, N = 39.874799.888199.820521. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: EP-STREAM Triad1233691215Min: 9.84 / Avg: 9.87 / Max: 9.9Min: 9.87 / Avg: 9.89 / Max: 9.9Min: 9.8 / Avg: 9.82 / Max: 9.841. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Ptrans1230.32870.65740.98611.31481.6435SE +/- 0.15709, N = 3SE +/- 0.00835, N = 3SE +/- 0.00604, N = 31.311241.460761.460791. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Ptrans123246810Min: 1 / Avg: 1.31 / Max: 1.47Min: 1.44 / Avg: 1.46 / Max: 1.47Min: 1.45 / Avg: 1.46 / Max: 1.471. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: EP-DGEMM1231122334455SE +/- 0.52, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 347.1547.5047.691. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: EP-DGEMM1231020304050Min: 46.12 / Avg: 47.15 / Max: 47.78Min: 47.25 / Avg: 47.5 / Max: 47.7Min: 47.5 / Avg: 47.69 / Max: 47.81. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-Ffte1230.39650.7931.18951.5861.9825SE +/- 0.00362, N = 3SE +/- 0.00193, N = 3SE +/- 0.00359, N = 31.755231.762101.753861. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-Ffte123246810Min: 1.75 / Avg: 1.76 / Max: 1.76Min: 1.76 / Avg: 1.76 / Max: 1.77Min: 1.75 / Avg: 1.75 / Max: 1.761. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Random Ring Bandwidth1231.16652.3333.49954.6665.8325SE +/- 0.09024, N = 3SE +/- 0.08185, N = 3SE +/- 0.08913, N = 35.147015.184624.902551. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Random Ring Bandwidth123246810Min: 4.97 / Avg: 5.15 / Max: 5.26Min: 5.02 / Avg: 5.18 / Max: 5.29Min: 4.72 / Avg: 4.9 / Max: 51. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgMB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Max Ping Pong Bandwidth1232K4K6K8K10KSE +/- 98.36, N = 3SE +/- 66.91, N = 3SE +/- 80.85, N = 38711.358813.108644.791. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgMB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Max Ping Pong Bandwidth12315003000450060007500Min: 8515.57 / Avg: 8711.35 / Max: 8825.74Min: 8679.92 / Avg: 8813.1 / Max: 8891Min: 8483.51 / Avg: 8644.79 / Max: 8735.481. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3