GM-1000

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October 27 2020
  19 Hours, 56 Minutes
GM-1000
October 28 2020
  18 Hours, 39 Minutes
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October 29 2020
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GM-1000OpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-9700TE @ 3.80GHz (8 Cores)C OZE GM-1000 v0.0.01.001 (5.13 BIOS)Intel Cannon Lake PCH32GBCIE M8 T405 512GBNVIDIA Quadro P2000 4GB (1455/3003MHz)Realtek ALC888-VDDELL S2409WIntel I219-LM + 2 x Intel 10G X550T + Intel I210Ubuntu 20.105.8.0-25-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9NVIDIA 455.284.6.0OpenCL 1.2 CUDA 11.1.961.2.142GCC 10.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGM-1000 BenchmarksSystem Logs- --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 - NONE / errors=remount-ro,relatime,rw- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3 - GPU Compute Cores: 768- OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1) - Python 3.8.6- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

Run 1GM-1000ExtraResult OverviewPhoronix Test Suite100%105%109%114%118%IORoneDNNIncompact3DLeelaChessZeroMonte Carlo Simulations of Ionised NebulaeJohn The RipperLibRawLAMMPS Molecular Dynamics SimulatorRealSR-NCNNHigh Performance Conjugate GradientTimed MAFFT AlignmentZstd CompressionFFTEWaifu2x-NCNN VulkanC-BloscBYTE Unix BenchmarkJava Gradle BuildGLmark2PostMarkNAMDWireGuard + Linux Networking Stack Stress TestTimed HMMer SearchDolfynWebP Image EncodeDaCapo Benchmark

GM-1000build-llvm: Time To Compileincompact3d: Cylinderastcenc: Exhaustiveai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scorejava-gradle-perf: Reactorpolyhedron: channel2kripke: yafaray: Total Time For Sample Scenemlpack: scikit_linearridgeregressionlczero: Eigenlczero: BLASmocassin: Dust 2D tau100.0gromacs: Water Benchmarkpolyhedron: tfft2brl-cad: VGR Performance Metricrocksdb: Rand Fill Synckvazaar: Bosphorus 4K - Mediumnumenta-nab: Earthgecko Skylinerealsr-ncnn: 4x - Yeswireguard: svt-av1: Enc Mode 0 - 1080pnumpy: cassandra: Writescaffe: GoogleNet - CPU - 200polyhedron: rnflowrocksdb: Read While Writingpolyhedron: mp_prop_designbuild-linux-kernel: Time To Compilehpcg: polyhedron: gas_dyn2luxcorerender: DLSCnamd: ATPase Simulation - 327,506 Atomsavifenc: 0dav1d: Chimera 1080p 10-bitpolyhedron: fatigue2numenta-nab: Relative Entropyluxcorerender: Rainbow Colors and Prismjohn-the-ripper: MD5tensorflow-lite: Inception V4tensorflow-lite: Inception ResNet V2mlpack: scikit_qdabuild-gdb: Time To Compilemnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0espeak: Text-To-Speech Synthesishint: FLOAThmmer: Pfam Database Searchpolyhedron: test_fpu2openvkl: vklBenchmarkpgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlycaffe: GoogleNet - CPU - 100compress-zstd: 19byte: Dhrystone 2vpxenc: Speed 0caffe: AlexNet - CPU - 100build-php: Time To Compileglmark2: 1920 x 1080avifenc: 2kvazaar: Bosphorus 4K - Very Fastopenssl: RSA 4096-bit Performancenumenta-nab: Windowed Gaussiannumenta-nab: Bayesian Changepointrawtherapee: Total Benchmark Timencnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetx265: Bosphorus 4Kkvazaar: Bosphorus 1080p - Very Fastcaffe: AlexNet - CPU - 200dacapobench: Tradesoappyperformance: raytraceastcenc: Thoroughoidn: Memorialrocksdb: Rand Fillpgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepyperformance: python_startuphugin: Panorama Photo Assistant + Stitching Timeastcenc: Mediumtensorflow-lite: SqueezeNettensorflow-lite: NASNet Mobilekeydb: rocksdb: Rand Readcompress-7zip: Compress Speed Testbuild-apache: Time To Compilepolyhedron: proteinpolyhedron: induct2kvazaar: Bosphorus 4K - Ultra Fastjohn-the-ripper: Blowfishx265: Bosphorus 1080pmlpack: scikit_icakvazaar: Bosphorus 1080p - Mediumonednn: IP Batch 1D - f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUpyperformance: 2to3pgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writekvazaar: Bosphorus 1080p - Ultra Fasttensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floatgit: Time To Complete Common Git Commandsocrmypdf: Processing 60 Page PDF Documentonednn: IP Batch All - u8s8f32 - CPUonednn: IP Batch All - f32 - CPUvpxenc: Speed 5svt-av1: Enc Mode 4 - 1080pdav1d: Summer Nature 4Kdacapobench: H2onednn: Deconvolution Batch deconv_1d - f32 - CPUpyperformance: goonednn: Recurrent Neural Network Inference - f32 - CPUwebp: Quality 100, Lossless, Highest Compressionlibraw: Post-Processing Benchmarkleveldb: Rand Deleteonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUrays1bench: Large Scenepolyhedron: capacitarocksdb: Seq Fillsvt-vp9: Visual Quality Optimized - Bosphorus 1080pncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: 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 - squeezenetdav1d: Chimera 1080prealsr-ncnn: 4x - Nopostmark: Disk Transaction Performanceonednn: Recurrent Neural Network Training - f32 - CPUpyperformance: regex_compileonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUmlpack: scikit_svmonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUpyperformance: pathlibleveldb: Seq Fillleveldb: Seq Fillmafft: Multiple Sequence Alignment - LSU RNAcompress-zstd: 3svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080prnnoise: polyhedron: doducpolyhedron: aermodrsvg: SVG Files To PNGtesseract-ocr: Time To OCR 7 Imagespyperformance: pickle_pure_pythonpyperformance: json_loadstnn: CPU - MobileNet v2pgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Onlytnn: CPU - SqueezeNet v1.1pyperformance: nbodyleveldb: Hot Readpyperformance: django_templatepyperformance: chaospyperformance: floatdolfyn: Computational Fluid Dynamicspyperformance: crypto_pyaeswebp: Quality 100, Losslesspolyhedron: acpolyhedron: mdbxleveldb: Seek Randblosc: blosclzwaifu2x-ncnn: 2x - 3 - Yesoctave-benchmark: dacapobench: Tradebeansastcenc: Fastdav1d: Summer Nature 1080pwebp: Quality 100, Highest Compressionleveldb: Fill Syncleveldb: Fill Syncavifenc: 10polyhedron: linpkdacapobench: Jythonavifenc: 8lammps: Rhodopsin Proteinonednn: Convolution Batch Shapes Auto - f32 - CPUleveldb: Rand Readpolyhedron: airleveldb: Overwriteleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Fillonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUwaifu2x-ncnn: 2x - 3 - Noonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUior: Read Testior: Write Testwebp: Quality 100ffte: N=256, 3D Complex FFT Routinewebp: DefaultRun 1GM-1000Extra1584.231707.573059617.901407751656272.52155.7821435523368.3113.127657883460.54022.334264935022.01291.989276.839272.7990.075319.042199524066117.8483070167.82208.8863.7035758.950.684.19957191.63177.2454.4849.4730.764359525794163523669383.36153.82359.1287.4854.32648.83310.18937.448361795957.64298131.26839.1382.080.38213097511943523.336044892.95.0642076114.0703441109.8095.661519.425.47596.52792.61040.3643.9021.3521.9377.8223.162.1810.666.485.216.126.1828.3823.926.6223.9185843671250675.583.9073091971.4557148.9973.5609.57392540304916459827.53248370762458831.65116.9420.0510.47771231.6662.849.038.434944.681953532.12249444.9026727726726459.02438.79366.8803110.95619.871.45596.53339510.15325267194.55146.98227.5726.98012.691519.8112.47107417880.3615.6412.927.955.6732.477.660.985.113.042.283.322.939.0510.08367.7137.9316578558.6571895.8735028.574.3549619.427.10032.611.4763525.6108.1828.9608.336.6324.34626.96345728.6359.2880.0424971361.8961385.04152.011612122.20011621.1186.015.335.7508610.816.8398.01537207.85357.238.5932630.5270.36.2573.0548706.6585.07716.55324.7892.4226.95332.827.28932.416.24418.273763.2216.49966499.50613.582.79430256.2033864741.7571604.059706.786153631.691372732640271.42820889583374.7543.147587843440.5334313834731.99300.544276.624269.9320.074322.0720732255319808736212.6483.708310.674.17868190.81676.1749.5020.754308346011180544130087.81155.39563.6827.7834.70351.88711.11733.377360309999.31612131.24880.390.39012837312614023.336200967.75.0944245114.7963442110.7375.621492.726.11597.13595.48143.0847.3322.5323.5683.0723.992.0710.256.905.356.516.6130.3325.546.5323.5489424668050576.983.7063473968.8967269.0175.7889.91406369321246458524.51246163312411032.11510.38765431.4264.729.019.533244.840053521.98850344.4527952427839360.37239.60867.7654114.29119.651.44692.95333910.80921270231.38646.98227.2626.18712.820319.7498109180.0616.2813.228.175.8033.337.841.045.233.102.383.393.009.3110.27354.5137.8756578670.3411865.9123928.934.3850219.327.20432.511.2683601.7107.7929.10024.63127.10846228.4369.9080.04024862362.1301384.85452.311712222.14511621.1975.9288600.416.8688.00736217.93344.078.5722260.1460.46.28348336.6724.87016.62244.74828.73330.828.45931.116.12368.883713.2146.69517476.15461.452.78030890.9066747311.759755.885111277.145720740362287.262273.9933.569324.23712413027131.99122.235503304.433776977736411.349875.1932871.0269124.810343512.870347.19326.3213.080439.387646611.0963552.822.24520.9878437.517.36037228.55449264.88117.232216.656111.71063.295483.18465.182.78130034.4547321341.754OpenBenchmarking.org

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileRun 1GM-100030060090012001500SE +/- 3.20, N = 3SE +/- 1.30, N = 31584.231604.06
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileRun 1GM-100030060090012001500Min: 1579.87 / Avg: 1584.23 / Max: 1590.47Min: 1602.47 / Avg: 1604.06 / Max: 1606.63

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderGM-1000Run 1Extra160320480640800SE +/- 1.81, N = 3SE +/- 0.45, N = 3SE +/- 2.16, N = 3706.79707.57755.891. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderGM-1000Run 1Extra130260390520650Min: 703.74 / Avg: 706.79 / Max: 710.01Min: 706.72 / Avg: 707.57 / Max: 708.24Min: 751.65 / Avg: 755.89 / Max: 758.791. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz

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: ExhaustiveRun 1GM-1000140280420560700SE +/- 0.80, N = 3SE +/- 0.59, N = 3617.90631.691. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveRun 1GM-1000110220330440550Min: 616.34 / Avg: 617.9 / Max: 619.01Min: 630.77 / Avg: 631.69 / Max: 632.791. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreRun 1GM-10003006009001200150014071372

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreRun 1GM-1000160320480640800751732

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreRun 1GM-1000140280420560700656640

Java Gradle Build

This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorGM-1000Run 1Extra60120180240300SE +/- 3.29, N = 3SE +/- 3.36, N = 9SE +/- 1.90, N = 3271.43272.52277.15
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorGM-1000Run 1Extra50100150200250Min: 267.43 / Avg: 271.43 / Max: 277.96Min: 254.3 / Avg: 272.52 / Max: 291.98Min: 273.53 / Avg: 277.15 / Max: 279.96

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: channel2Run 1132639526555.78

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Run 1GM-10005M10M15M20M25MSE +/- 53251.01, N = 3SE +/- 42312.00, N = 321435523208895831. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Run 1GM-10004M8M12M16M20MMin: 21369090 / Avg: 21435523.33 / Max: 21540830Min: 20805700 / Avg: 20889583.33 / Max: 209412001. (CXX) g++ options: -O3 -fopenmp

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneRun 1GM-100080160240320400SE +/- 1.61, N = 3SE +/- 2.21, N = 3368.31374.751. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneRun 1GM-100070140210280350Min: 365.54 / Avg: 368.31 / Max: 371.11Min: 370.45 / Avg: 374.75 / Max: 377.781. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionRun 1GM-10000.70651.4132.11952.8263.5325SE +/- 0.04, N = 15SE +/- 0.03, N = 153.123.14
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionRun 1GM-1000246810Min: 2.92 / Avg: 3.12 / Max: 3.36Min: 2.97 / Avg: 3.14 / Max: 3.34

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenRun 1GM-1000Extra160320480640800SE +/- 3.18, N = 3SE +/- 2.52, N = 3SE +/- 2.19, N = 37657587201. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenRun 1GM-1000Extra130260390520650Min: 761 / Avg: 764.67 / Max: 771Min: 755 / Avg: 758 / Max: 763Min: 716 / Avg: 720.33 / Max: 7231. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASRun 1GM-1000Extra2004006008001000SE +/- 6.17, N = 3SE +/- 6.44, N = 3SE +/- 2.19, N = 37887847401. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASRun 1GM-1000Extra140280420560700Min: 781 / Avg: 787.67 / Max: 800Min: 771 / Avg: 783.67 / Max: 792Min: 736 / Avg: 740.33 / Max: 7431. (CXX) g++ options: -flto -pthread

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0GM-1000Run 1Extra80160240320400SE +/- 1.33, N = 3SE +/- 0.67, N = 3SE +/- 3.53, N = 33443463621. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0GM-1000Run 1Extra60120180240300Min: 341 / Avg: 343.67 / Max: 345Min: 345 / Avg: 346.33 / Max: 347Min: 355 / Avg: 361.67 / Max: 3671. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRun 1GM-10000.12150.2430.36450.4860.6075SE +/- 0.002, N = 3SE +/- 0.001, N = 30.5400.5331. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRun 1GM-1000246810Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.53 / Avg: 0.53 / Max: 0.541. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft2Run 151015202522.33

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricGM-1000Run 19K18K27K36K45K43138426491. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lpthread -ldl -luuid -lm

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncRun 1GM-10008001600240032004000SE +/- 66.63, N = 15SE +/- 40.71, N = 15350234731. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncRun 1GM-10006001200180024003000Min: 3180 / Avg: 3501.53 / Max: 4013Min: 3180 / Avg: 3472.73 / Max: 37601. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumRun 1GM-10000.45230.90461.35691.80922.2615SE +/- 0.01, N = 3SE +/- 0.01, N = 32.011.991. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumRun 1GM-1000246810Min: 2 / Avg: 2.01 / Max: 2.02Min: 1.97 / Avg: 1.99 / Max: 2.011. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineRun 1GM-100070140210280350SE +/- 1.25, N = 3SE +/- 4.34, N = 3291.99300.54
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineRun 1GM-100050100150200250Min: 290.48 / Avg: 291.99 / Max: 294.48Min: 293.05 / Avg: 300.54 / Max: 308.1

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesGM-1000Run 1Extra60120180240300SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3276.62276.84287.26
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesGM-1000Run 1Extra50100150200250Min: 276.49 / Avg: 276.62 / Max: 276.75Min: 276.46 / Avg: 276.84 / Max: 277.19Min: 287.17 / Avg: 287.26 / Max: 287.35

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestGM-1000Run 1Extra60120180240300SE +/- 2.25, N = 3SE +/- 1.04, N = 3SE +/- 3.71, N = 3269.93272.80273.99
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestGM-1000Run 1Extra50100150200250Min: 266.32 / Avg: 269.93 / Max: 274.07Min: 271.32 / Avg: 272.8 / Max: 274.8Min: 269.1 / Avg: 273.99 / Max: 281.27

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pRun 1GM-10000.01690.03380.05070.06760.0845SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0750.0741. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pRun 1GM-100012345Min: 0.07 / Avg: 0.07 / Max: 0.08Min: 0.07 / Avg: 0.07 / Max: 0.081. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkGM-1000Run 170140210280350SE +/- 0.61, N = 3SE +/- 0.38, N = 3322.07319.04
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkGM-1000Run 160120180240300Min: 321.05 / Avg: 322.07 / Max: 323.15Min: 318.29 / Avg: 319.04 / Max: 319.54

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesRun 1GM-10005K10K15K20K25KSE +/- 358.19, N = 3SE +/- 177.03, N = 152199520732
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesRun 1GM-10004K8K12K16K20KMin: 21311 / Avg: 21995.33 / Max: 22521Min: 19586 / Avg: 20732.33 / Max: 22089

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Run 1GM-100050K100K150K200K250KSE +/- 464.17, N = 3SE +/- 2728.74, N = 32406612553191. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Run 1GM-100040K80K120K160K200KMin: 239925 / Avg: 240661 / Max: 241519Min: 250680 / Avg: 255318.67 / Max: 2601281. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: rnflowRun 14812162017.84

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingRun 1GM-1000200K400K600K800K1000KSE +/- 7495.26, N = 15SE +/- 8029.23, N = 88307018087361. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingRun 1GM-1000140K280K420K560K700KMin: 792035 / Avg: 830701.27 / Max: 890885Min: 780815 / Avg: 808736.38 / Max: 8403101. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mp_prop_designRun 1153045607567.82

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRun 1GM-100050100150200250SE +/- 0.16, N = 3SE +/- 0.47, N = 3208.89212.65
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRun 1GM-10004080120160200Min: 208.65 / Avg: 208.89 / Max: 209.18Min: 211.76 / Avg: 212.65 / Max: 213.35

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1GM-1000Run 1Extra0.83441.66882.50323.33764.172SE +/- 0.00058, N = 3SE +/- 0.00326, N = 3SE +/- 0.02421, N = 33.708313.703573.569321. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1GM-1000Run 1Extra246810Min: 3.71 / Avg: 3.71 / Max: 3.71Min: 3.7 / Avg: 3.7 / Max: 3.71Min: 3.54 / Avg: 3.57 / Max: 3.621. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: gas_dyn2Run 1132639526558.95

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRun 1GM-10000.1530.3060.4590.6120.765SE +/- 0.01, N = 4SE +/- 0.01, N = 150.680.67MIN: 0.61 / MAX: 0.96MIN: 0.59 / MAX: 0.97
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRun 1GM-1000246810Min: 0.66 / Avg: 0.68 / Max: 0.71Min: 0.65 / Avg: 0.67 / Max: 0.75

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsGM-1000Run 1Extra0.95341.90682.86023.81364.767SE +/- 0.00286, N = 3SE +/- 0.00287, N = 3SE +/- 0.00186, N = 34.178684.199574.23712
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsGM-1000Run 1Extra246810Min: 4.17 / Avg: 4.18 / Max: 4.18Min: 4.2 / Avg: 4.2 / Max: 4.21Min: 4.23 / Avg: 4.24 / Max: 4.24

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0GM-1000Run 14080120160200SE +/- 0.11, N = 3SE +/- 1.18, N = 3190.82191.631. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0GM-1000Run 14080120160200Min: 190.69 / Avg: 190.82 / Max: 191.04Min: 190.35 / Avg: 191.63 / Max: 193.991. (CXX) g++ options: -O3 -fPIC

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitRun 1GM-100020406080100SE +/- 0.16, N = 3SE +/- 0.61, N = 377.2476.17MIN: 48.58 / MAX: 189.84MIN: 47.76 / MAX: 187.81. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitRun 1GM-10001530456075Min: 77.06 / Avg: 77.24 / Max: 77.56Min: 75.47 / Avg: 76.17 / Max: 77.381. (CC) gcc options: -pthread

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: fatigue2Run 1122436486054.48

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRun 1GM-10001122334455SE +/- 0.45, N = 10SE +/- 0.44, N = 1249.4749.50
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRun 1GM-10001020304050Min: 45.87 / Avg: 49.47 / Max: 50.96Min: 44.92 / Avg: 49.5 / Max: 50.61

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRun 1GM-10000.1710.3420.5130.6840.855SE +/- 0.01, N = 5SE +/- 0.01, N = 120.760.75MIN: 0.67 / MAX: 1.12MIN: 0.65 / MAX: 1.15
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRun 1GM-1000246810Min: 0.74 / Avg: 0.76 / Max: 0.79Min: 0.73 / Avg: 0.75 / Max: 0.83

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Run 1GM-1000Extra90K180K270K360K450KSE +/- 5832.73, N = 5SE +/- 3391.63, N = 15SE +/- 5262.95, N = 54359524308344130271. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Run 1GM-1000Extra80K160K240K320K400KMin: 429004 / Avg: 435952.2 / Max: 459238Min: 424345 / Avg: 430834 / Max: 477696Min: 407321 / Avg: 413026.6 / Max: 4340731. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1GM-10001.3M2.6M3.9M5.2M6.5MSE +/- 22366.69, N = 3SE +/- 34182.46, N = 357941636011180
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1GM-10001000K2000K3000K4000K5000KMin: 5749430 / Avg: 5794163.33 / Max: 5816590Min: 5942980 / Avg: 6011180 / Max: 6049390

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1GM-10001.2M2.4M3.6M4.8M6MSE +/- 19776.99, N = 3SE +/- 40177.63, N = 352366935441300
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1GM-1000900K1800K2700K3600K4500KMin: 5197150 / Avg: 5236693.33 / Max: 5257260Min: 5360970 / Avg: 5441300 / Max: 5483210

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaRun 1GM-100020406080100SE +/- 0.79, N = 3SE +/- 0.01, N = 383.3687.81
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaRun 1GM-100020406080100Min: 82.55 / Avg: 83.36 / Max: 84.93Min: 87.8 / Avg: 87.81 / Max: 87.82

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileRun 1GM-1000306090120150SE +/- 0.36, N = 3SE +/- 0.70, N = 3153.82155.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileRun 1GM-1000306090120150Min: 153.13 / Avg: 153.82 / Max: 154.32Min: 154.06 / Avg: 155.39 / Max: 156.42

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Run 1GM-10001428425670SE +/- 0.04, N = 3SE +/- 0.28, N = 359.1363.68MIN: 57.34 / MAX: 70.07MIN: 58.94 / MAX: 77.621. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Run 1GM-10001224364860Min: 59.08 / Avg: 59.13 / Max: 59.21Min: 63.13 / Avg: 63.68 / Max: 63.971. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Run 1GM-1000246810SE +/- 0.215, N = 3SE +/- 0.617, N = 37.4857.783MIN: 4.55 / MAX: 14.65MIN: 4.59 / MAX: 20.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Run 1GM-10003691215Min: 7.05 / Avg: 7.48 / Max: 7.71Min: 6.55 / Avg: 7.78 / Max: 8.41. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Run 1GM-10001.05822.11643.17464.23285.291SE +/- 0.293, N = 3SE +/- 0.368, N = 34.3264.703MIN: 3.46 / MAX: 10.6MIN: 3.43 / MAX: 12.111. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Run 1GM-1000246810Min: 3.74 / Avg: 4.33 / Max: 4.67Min: 3.97 / Avg: 4.7 / Max: 5.121. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Run 1GM-10001224364860SE +/- 0.04, N = 3SE +/- 0.24, N = 348.8351.89MIN: 46.03 / MAX: 59.96MIN: 48.29 / MAX: 64.911. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Run 1GM-10001020304050Min: 48.78 / Avg: 48.83 / Max: 48.9Min: 51.41 / Avg: 51.89 / Max: 52.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Run 1GM-10003691215SE +/- 0.01, N = 3SE +/- 0.02, N = 310.1911.12MIN: 9.85 / MAX: 11.9MIN: 9.82 / MAX: 23.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Run 1GM-10003691215Min: 10.17 / Avg: 10.19 / Max: 10.21Min: 11.07 / Avg: 11.12 / Max: 11.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisGM-1000Run 1918273645SE +/- 0.19, N = 4SE +/- 0.61, N = 2033.3837.451. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisGM-1000Run 1816243240Min: 32.84 / Avg: 33.38 / Max: 33.67Min: 31.27 / Avg: 37.45 / Max: 41.091. (CC) gcc options: -O2 -std=c99

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATRun 1GM-100080M160M240M320M400MSE +/- 196130.98, N = 3SE +/- 534147.70, N = 3361795957.64360309999.321. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATRun 1GM-100060M120M180M240M300MMin: 361411904.55 / Avg: 361795957.64 / Max: 362057118.08Min: 359505128.58 / Avg: 360309999.32 / Max: 361320775.571. (CC) gcc options: -O3 -march=native -lm

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 SearchGM-1000Run 1Extra306090120150SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3131.25131.27131.991. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchGM-1000Run 1Extra20406080100Min: 131.21 / Avg: 131.25 / Max: 131.29Min: 131.18 / Avg: 131.27 / Max: 131.38Min: 131.76 / Avg: 131.99 / Max: 132.221. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: test_fpu2Run 191827364539.13

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRun 1GM-100020406080100SE +/- 0.05, N = 3SE +/- 0.39, N = 382.0880.39MIN: 1 / MAX: 353MIN: 1 / MAX: 345
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRun 1GM-10001632486480Min: 82 / Avg: 82.08 / Max: 82.17Min: 79.75 / Avg: 80.39 / Max: 81.08

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyRun 1GM-10000.08780.17560.26340.35120.439SE +/- 0.003, N = 15SE +/- 0.003, N = 150.3820.3901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyRun 1GM-100012345Min: 0.35 / Avg: 0.38 / Max: 0.39Min: 0.35 / Avg: 0.39 / Max: 0.41. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyRun 1GM-100030K60K90K120K150KSE +/- 1095.46, N = 15SE +/- 1251.67, N = 151309751283731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyRun 1GM-100020K40K60K80K100KMin: 127987.22 / Avg: 130974.62 / Max: 144962.18Min: 125521.71 / Avg: 128373.27 / Max: 144975.271. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Run 1GM-100030K60K90K120K150KSE +/- 812.61, N = 3SE +/- 87.22, N = 31194351261401. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Run 1GM-100020K40K60K80K100KMin: 117810 / Avg: 119434.67 / Max: 120284Min: 126011 / Avg: 126139.67 / Max: 1263061. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19GM-1000Run 1Extra612182430SE +/- 0.25, N = 3SE +/- 0.27, N = 3SE +/- 0.27, N = 423.323.322.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19GM-1000Run 1Extra510152025Min: 23 / Avg: 23.3 / Max: 23.8Min: 23 / Avg: 23.27 / Max: 23.8Min: 21.7 / Avg: 22.15 / Max: 22.91. (CC) gcc options: -O3 -pthread -lz -llzma

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2GM-1000Run 1Extra8M16M24M32M40MSE +/- 15338.08, N = 3SE +/- 46914.16, N = 3SE +/- 307241.89, N = 336200967.736044892.935503304.4
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2GM-1000Run 1Extra6M12M18M24M30MMin: 36181160.5 / Avg: 36200967.7 / Max: 36231157.4Min: 35953351.2 / Avg: 36044892.9 / Max: 36108493.6Min: 35051667.9 / Avg: 35503304.4 / Max: 36089970.4

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0GM-1000Run 11.14532.29063.43594.58125.7265SE +/- 0.03, N = 3SE +/- 0.04, N = 35.095.061. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0GM-1000Run 1246810Min: 5.05 / Avg: 5.09 / Max: 5.15Min: 5.02 / Avg: 5.06 / Max: 5.131. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Run 1GM-10009K18K27K36K45KSE +/- 414.12, N = 9SE +/- 486.77, N = 742076442451. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Run 1GM-10008K16K24K32K40KMin: 38766 / Avg: 42075.56 / Max: 42577Min: 41475 / Avg: 44245.29 / Max: 455401. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileRun 1GM-1000306090120150SE +/- 0.10, N = 3SE +/- 0.58, N = 3114.07114.80
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileRun 1GM-100020406080100Min: 113.87 / Avg: 114.07 / Max: 114.22Min: 113.64 / Avg: 114.8 / Max: 115.38

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080GM-1000Run 1Extra7001400210028003500344234413377

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Run 1GM-100020406080100SE +/- 0.67, N = 3SE +/- 1.76, N = 3109.81110.741. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Run 1GM-100020406080100Min: 108.51 / Avg: 109.81 / Max: 110.74Min: 107.37 / Avg: 110.74 / Max: 113.321. (CXX) g++ options: -O3 -fPIC

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastRun 1GM-10001.27352.5473.82055.0946.3675SE +/- 0.04, N = 3SE +/- 0.06, N = 35.665.621. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastRun 1GM-1000246810Min: 5.61 / Avg: 5.66 / Max: 5.73Min: 5.56 / Avg: 5.62 / Max: 5.741. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceRun 1GM-100030060090012001500SE +/- 26.50, N = 15SE +/- 29.90, N = 151519.41492.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceRun 1GM-100030060090012001500Min: 1457.3 / Avg: 1519.43 / Max: 1888Min: 1440.2 / Avg: 1492.68 / Max: 1909.11. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianRun 1GM-1000612182430SE +/- 0.25, N = 9SE +/- 0.28, N = 1425.4826.12
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianRun 1GM-1000612182430Min: 23.49 / Avg: 25.47 / Max: 25.97Min: 22.58 / Avg: 26.11 / Max: 26.66

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRun 1GM-100020406080100SE +/- 0.77, N = 3SE +/- 1.25, N = 396.5397.14
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRun 1GM-100020406080100Min: 95.03 / Avg: 96.53 / Max: 97.62Min: 94.65 / Avg: 97.13 / Max: 98.61

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRun 1GM-100020406080100SE +/- 0.85, N = 3SE +/- 1.25, N = 392.6195.481. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRun 1GM-100020406080100Min: 90.9 / Avg: 92.61 / Max: 93.54Min: 92.99 / Avg: 95.48 / Max: 96.861. RawTherapee, version 5.8, command line.

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 20200916Target: CPU - Model: yolov4-tinyRun 1GM-10001020304050SE +/- 0.03, N = 3SE +/- 0.16, N = 340.3643.08MIN: 39.31 / MAX: 42.52MIN: 41.28 / MAX: 53.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRun 1GM-1000918273645Min: 40.32 / Avg: 40.36 / Max: 40.42Min: 42.84 / Avg: 43.08 / Max: 43.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Run 1GM-10001122334455SE +/- 0.06, N = 3SE +/- 0.19, N = 343.9047.33MIN: 41.9 / MAX: 53.55MIN: 44.74 / MAX: 59.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Run 1GM-10001020304050Min: 43.82 / Avg: 43.9 / Max: 44.01Min: 47.11 / Avg: 47.33 / Max: 47.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRun 1GM-1000510152025SE +/- 0.01, N = 3SE +/- 0.06, N = 321.3522.53MIN: 20.63 / MAX: 22.03MIN: 21.39 / MAX: 32.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRun 1GM-1000510152025Min: 21.34 / Avg: 21.35 / Max: 21.37Min: 22.45 / Avg: 22.53 / Max: 22.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Run 1GM-1000612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 321.9323.56MIN: 20 / MAX: 22.94MIN: 21.32 / MAX: 35.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Run 1GM-1000612182430Min: 21.9 / Avg: 21.93 / Max: 21.94Min: 23.5 / Avg: 23.56 / Max: 23.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Run 1GM-100020406080100SE +/- 0.02, N = 3SE +/- 0.13, N = 377.8283.07MIN: 77.53 / MAX: 87.07MIN: 81.47 / MAX: 93.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Run 1GM-10001632486480Min: 77.77 / Avg: 77.82 / Max: 77.85Min: 82.81 / Avg: 83.07 / Max: 83.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetRun 1GM-1000612182430SE +/- 0.02, N = 3SE +/- 0.96, N = 323.1623.99MIN: 21.99 / MAX: 34.09MIN: 17.71 / MAX: 26.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetRun 1GM-1000612182430Min: 23.13 / Avg: 23.16 / Max: 23.19Min: 22.09 / Avg: 23.99 / Max: 25.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceGM-1000Run 10.49050.9811.47151.9622.4525SE +/- 0.24, N = 3SE +/- 0.01, N = 32.072.18MIN: 1.46 / MAX: 3.26MIN: 2.01 / MAX: 2.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceGM-1000Run 1246810Min: 1.58 / Avg: 2.07 / Max: 2.32Min: 2.16 / Avg: 2.18 / Max: 2.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0GM-1000Run 13691215SE +/- 1.08, N = 3SE +/- 0.05, N = 310.2510.66MIN: 7.48 / MAX: 13.2MIN: 9.94 / MAX: 11.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0GM-1000Run 13691215Min: 8.09 / Avg: 10.25 / Max: 11.34Min: 10.58 / Avg: 10.66 / Max: 10.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRun 1GM-1000246810SE +/- 0.73, N = 3SE +/- 0.81, N = 36.486.90MIN: 4.85 / MAX: 8.88MIN: 4.78 / MAX: 16.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRun 1GM-10003691215Min: 5.02 / Avg: 6.48 / Max: 7.24Min: 5.29 / Avg: 6.9 / Max: 7.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Run 1GM-10001.20382.40763.61144.81526.019SE +/- 0.37, N = 3SE +/- 0.61, N = 35.215.35MIN: 4.42 / MAX: 6.91MIN: 3.72 / MAX: 141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Run 1GM-1000246810Min: 4.48 / Avg: 5.21 / Max: 5.59Min: 4.13 / Avg: 5.35 / Max: 5.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Run 1GM-1000246810SE +/- 0.58, N = 3SE +/- 0.69, N = 36.126.51MIN: 4.76 / MAX: 8.21MIN: 4.68 / MAX: 9.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Run 1GM-10003691215Min: 4.97 / Avg: 6.12 / Max: 6.72Min: 5.14 / Avg: 6.51 / Max: 7.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Run 1GM-1000246810SE +/- 0.16, N = 3SE +/- 0.22, N = 36.186.61MIN: 5.65 / MAX: 9.55MIN: 5.61 / MAX: 9.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Run 1GM-10003691215Min: 5.95 / Avg: 6.18 / Max: 6.49Min: 6.17 / Avg: 6.61 / Max: 6.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRun 1GM-1000714212835SE +/- 0.04, N = 3SE +/- 0.17, N = 328.3830.33MIN: 27.62 / MAX: 39MIN: 28.89 / MAX: 41.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRun 1GM-1000714212835Min: 28.32 / Avg: 28.38 / Max: 28.46Min: 30.09 / Avg: 30.33 / Max: 30.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRun 1GM-1000612182430SE +/- 0.02, N = 3SE +/- 0.12, N = 323.9225.54MIN: 23.33 / MAX: 29.32MIN: 24.15 / MAX: 35.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRun 1GM-1000612182430Min: 23.88 / Avg: 23.92 / Max: 23.95Min: 25.33 / Avg: 25.54 / Max: 25.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KRun 1GM-1000246810SE +/- 0.02, N = 3SE +/- 0.05, N = 36.626.531. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KRun 1GM-10003691215Min: 6.58 / Avg: 6.62 / Max: 6.66Min: 6.47 / Avg: 6.53 / Max: 6.641. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastRun 1GM-1000612182430SE +/- 0.27, N = 7SE +/- 0.24, N = 1423.9123.541. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastRun 1GM-1000612182430Min: 23.58 / Avg: 23.91 / Max: 25.5Min: 23.26 / Avg: 23.54 / Max: 26.621. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Run 1GM-100020K40K60K80K100KSE +/- 615.29, N = 3SE +/- 906.54, N = 385843894241. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Run 1GM-100016K32K48K64K80KMin: 84625 / Avg: 85843 / Max: 86604Min: 87616 / Avg: 89424.33 / Max: 904421. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapGM-1000Run 1Extra15003000450060007500SE +/- 85.52, N = 20SE +/- 80.79, N = 20SE +/- 69.74, N = 20668067126977
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapGM-1000Run 1Extra12002400360048006000Min: 5549 / Avg: 6679.85 / Max: 7130Min: 5668 / Avg: 6712 / Max: 7022Min: 5884 / Avg: 6976.5 / Max: 7428

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceGM-1000Run 1110220330440550SE +/- 0.67, N = 3505506
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceGM-1000Run 190180270360450Min: 504 / Avg: 505.33 / Max: 506

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: ThoroughRun 1GM-100020406080100SE +/- 0.54, N = 3SE +/- 1.07, N = 375.5876.981. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRun 1GM-10001530456075Min: 74.51 / Avg: 75.58 / Max: 76.13Min: 74.85 / Avg: 76.98 / Max: 78.191. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRun 1GM-10000.87751.7552.63253.514.3875SE +/- 0.05, N = 3SE +/- 0.04, N = 63.903.70
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRun 1GM-1000246810Min: 3.84 / Avg: 3.9 / Max: 4Min: 3.65 / Avg: 3.7 / Max: 3.91

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillRun 1GM-1000160K320K480K640K800KSE +/- 8348.44, N = 3SE +/- 7757.34, N = 57309196347391. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillRun 1GM-1000130K260K390K520K650KMin: 714235 / Avg: 730919.33 / Max: 739822Min: 614178 / Avg: 634738.6 / Max: 6585481. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyGM-1000Run 11632486480SE +/- 0.31, N = 3SE +/- 2.85, N = 1568.9071.461. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyGM-1000Run 11428425670Min: 68.28 / Avg: 68.9 / Max: 69.29Min: 61.42 / Avg: 71.46 / Max: 94.391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteGM-1000Run 1160320480640800SE +/- 3.31, N = 3SE +/- 25.15, N = 157267141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteGM-1000Run 1130260390520650Min: 721.69 / Avg: 725.84 / Max: 732.38Min: 529.79 / Avg: 713.79 / Max: 814.181. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupRun 1GM-10003691215SE +/- 0.00, N = 3SE +/- 0.06, N = 38.999.01
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupRun 1GM-10003691215Min: 8.99 / Avg: 8.99 / Max: 9Min: 8.91 / Avg: 9.01 / Max: 9.13

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRun 1GM-100020406080100SE +/- 0.66, N = 3SE +/- 0.89, N = 373.5675.79
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRun 1GM-10001530456075Min: 72.39 / Avg: 73.56 / Max: 74.69Min: 74.1 / Avg: 75.79 / Max: 77.14

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: MediumRun 1GM-10003691215SE +/- 0.15, N = 15SE +/- 0.16, N = 159.579.911. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumRun 1GM-10003691215Min: 7.94 / Avg: 9.57 / Max: 9.86Min: 7.99 / Avg: 9.91 / Max: 10.161. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 1GM-100090K180K270K360K450KSE +/- 4043.35, N = 3SE +/- 5447.42, N = 4392540406369
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 1GM-100070K140K210K280K350KMin: 384454 / Avg: 392540.33 / Max: 396651Min: 390032 / Avg: 406369.25 / Max: 412184

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1GM-100070K140K210K280K350KSE +/- 3175.48, N = 3SE +/- 4505.57, N = 4304916321246
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1GM-100060K120K180K240K300KMin: 298572 / Avg: 304915.67 / Max: 308351Min: 307741 / Avg: 321246 / Max: 326227

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Run 1GM-1000100K200K300K400K500KSE +/- 2753.95, N = 3SE +/- 3781.40, N = 3459827.53458524.511. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Run 1GM-100080K160K240K320K400KMin: 456124.57 / Avg: 459827.53 / Max: 465210.13Min: 454149.5 / Avg: 458524.51 / Max: 466054.441. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadRun 1GM-10005M10M15M20M25MSE +/- 309204.37, N = 3SE +/- 338773.40, N = 424837076246163311. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadRun 1GM-10004M8M12M16M20MMin: 24508049 / Avg: 24837076.33 / Max: 25455052Min: 24244615 / Avg: 24616331 / Max: 256318081. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRun 1GM-10005K10K15K20K25KSE +/- 298.07, N = 6SE +/- 339.20, N = 424588241101. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRun 1GM-10004K8K12K16K20KMin: 24175 / Avg: 24587.83 / Max: 26072Min: 23670 / Avg: 24110 / Max: 251171. (CXX) g++ options: -pipe -lpthread

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileRun 1GM-1000714212835SE +/- 0.37, N = 6SE +/- 0.35, N = 731.6532.12
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileRun 1GM-1000714212835Min: 29.79 / Avg: 31.65 / Max: 32.1Min: 30 / Avg: 32.12 / Max: 32.56

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinRun 14812162016.94

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: induct2Run 151015202520.05

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastRun 1GM-10003691215SE +/- 0.13, N = 3SE +/- 0.15, N = 410.4710.381. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastRun 1GM-10003691215Min: 10.32 / Avg: 10.47 / Max: 10.73Min: 10.22 / Avg: 10.38 / Max: 10.811. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishRun 1GM-1000Extra17003400510068008500SE +/- 113.08, N = 4SE +/- 60.95, N = 13SE +/- 111.84, N = 37712765473641. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishRun 1GM-1000Extra13002600390052006500Min: 7598 / Avg: 7711.75 / Max: 8051Min: 7579 / Avg: 7653.77 / Max: 8385Min: 7250 / Avg: 7364.33 / Max: 75881. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pRun 1GM-1000714212835SE +/- 0.33, N = 8SE +/- 0.37, N = 1331.6631.421. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pRun 1GM-1000714212835Min: 31.27 / Avg: 31.66 / Max: 33.97Min: 30.88 / Avg: 31.42 / Max: 35.81. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaRun 1GM-10001428425670SE +/- 0.82, N = 3SE +/- 1.11, N = 362.8464.72
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaRun 1GM-10001326395265Min: 61.2 / Avg: 62.84 / Max: 63.8Min: 62.5 / Avg: 64.72 / Max: 65.89

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumRun 1GM-10003691215SE +/- 0.08, N = 3SE +/- 0.15, N = 39.039.011. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumRun 1GM-10003691215Min: 8.95 / Avg: 9.03 / Max: 9.19Min: 8.86 / Avg: 9.01 / Max: 9.31. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPURun 1GM-1000Extra3691215SE +/- 0.24013, N = 12SE +/- 0.22450, N = 15SE +/- 0.27922, N = 128.434949.5332411.34987MIN: 5.38MIN: 6.67MIN: 7.031. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPURun 1GM-1000Extra3691215Min: 5.82 / Avg: 8.43 / Max: 8.91Min: 6.94 / Avg: 9.53 / Max: 10.46Min: 8.35 / Avg: 11.35 / Max: 11.891. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra1.16852.3373.50554.6745.8425SE +/- 0.11241, N = 12SE +/- 0.10124, N = 15SE +/- 0.10663, N = 124.681954.840055.19328MIN: 3.25MIN: 3.33MIN: 3.681. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra246810Min: 3.45 / Avg: 4.68 / Max: 4.8Min: 3.42 / Avg: 4.84 / Max: 4.98Min: 4.02 / Avg: 5.19 / Max: 5.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3GM-1000Run 180160240320400352353

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyGM-1000Run 10.47750.9551.43251.912.3875SE +/- 0.018, N = 3SE +/- 0.128, N = 121.9882.1221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyGM-1000Run 1246810Min: 1.95 / Avg: 1.99 / Max: 2.02Min: 1.38 / Avg: 2.12 / Max: 2.621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteGM-1000Run 1110220330440550SE +/- 4.74, N = 3SE +/- 35.12, N = 125034941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteGM-1000Run 190180270360450Min: 495.71 / Avg: 503.09 / Max: 511.93Min: 381.52 / Avg: 494.19 / Max: 725.761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastRun 1GM-10001020304050SE +/- 0.52, N = 13SE +/- 0.87, N = 1544.9044.451. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastRun 1GM-1000918273645Min: 44.28 / Avg: 44.9 / Max: 51.18Min: 43.3 / Avg: 44.45 / Max: 56.571. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1GM-100060K120K180K240K300KSE +/- 2723.19, N = 3SE +/- 4770.18, N = 3267277279524
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1GM-100050K100K150K200K250KMin: 261831 / Avg: 267277.33 / Max: 270018Min: 269984 / Avg: 279524.33 / Max: 284312

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1GM-100060K120K180K240K300KSE +/- 2726.50, N = 3SE +/- 4495.68, N = 3267264278393
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1GM-100050K100K150K200K250KMin: 261811 / Avg: 267264 / Max: 269993Min: 269404 / Avg: 278393 / Max: 283066

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsRun 1GM-10001428425670SE +/- 0.08, N = 3SE +/- 0.41, N = 359.0260.371. git version 2.27.0
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsRun 1GM-10001224364860Min: 58.94 / Avg: 59.02 / Max: 59.19Min: 59.56 / Avg: 60.37 / Max: 60.791. git version 2.27.0

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentRun 1GM-1000918273645SE +/- 0.57, N = 3SE +/- 0.48, N = 638.7939.61
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentRun 1GM-1000816243240Min: 37.65 / Avg: 38.79 / Max: 39.41Min: 37.2 / Avg: 39.61 / Max: 40.36

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra1632486480SE +/- 0.16, N = 3SE +/- 0.33, N = 3SE +/- 0.54, N = 366.8867.7771.03MIN: 58.83MIN: 59.54MIN: 61.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra1428425670Min: 66.71 / Avg: 66.88 / Max: 67.19Min: 67.23 / Avg: 67.77 / Max: 68.36Min: 70.38 / Avg: 71.03 / Max: 72.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPURun 1GM-1000Extra306090120150SE +/- 0.40, N = 3SE +/- 0.53, N = 3SE +/- 0.47, N = 3110.96114.29124.81MIN: 97.33MIN: 99.97MIN: 109.721. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPURun 1GM-1000Extra20406080100Min: 110.17 / Avg: 110.96 / Max: 111.43Min: 113.26 / Avg: 114.29 / Max: 115Min: 123.93 / Avg: 124.81 / Max: 125.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Run 1GM-1000510152025SE +/- 0.30, N = 3SE +/- 0.20, N = 819.8719.651. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Run 1GM-1000510152025Min: 19.48 / Avg: 19.87 / Max: 20.47Min: 19.38 / Avg: 19.65 / Max: 21.021. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pRun 1GM-10000.32740.65480.98221.30961.637SE +/- 0.015, N = 3SE +/- 0.025, N = 31.4551.4461. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pRun 1GM-1000246810Min: 1.44 / Avg: 1.45 / Max: 1.49Min: 1.42 / Avg: 1.45 / Max: 1.51. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRun 1GM-100020406080100SE +/- 1.49, N = 3SE +/- 1.39, N = 496.5392.95MIN: 80.52 / MAX: 123.95MIN: 77.22 / MAX: 122.951. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRun 1GM-100020406080100Min: 94.96 / Avg: 96.53 / Max: 99.52Min: 91.52 / Avg: 92.95 / Max: 97.131. (CC) gcc options: -pthread

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2GM-1000Run 1Extra7001400210028003500SE +/- 39.15, N = 20SE +/- 36.99, N = 20SE +/- 34.42, N = 20333933953435
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2GM-1000Run 1Extra6001200180024003000Min: 3013 / Avg: 3338.75 / Max: 3706Min: 3110 / Avg: 3395.4 / Max: 3647Min: 3173 / Avg: 3435.1 / Max: 3806

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPURun 1GM-1000Extra3691215SE +/- 0.12, N = 6SE +/- 0.15, N = 13SE +/- 0.14, N = 310.1510.8112.87MIN: 8.6MIN: 6.79MIN: 10.641. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPURun 1GM-1000Extra48121620Min: 9.58 / Avg: 10.15 / Max: 10.3Min: 9.07 / Avg: 10.81 / Max: 11.29Min: 12.58 / Avg: 12.87 / Max: 13.031. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goRun 1GM-100060120180240300SE +/- 1.67, N = 3267270
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goRun 1GM-100050100150200250Min: 267 / Avg: 270.33 / Max: 272

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPURun 1GM-100050100150200250SE +/- 2.57, N = 5SE +/- 0.93, N = 3194.55231.39MIN: 182.75MIN: 223.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPURun 1GM-10004080120160200Min: 186.96 / Avg: 194.55 / Max: 202.83Min: 229.67 / Avg: 231.39 / Max: 232.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRun 1GM-1000Extra1122334455SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 346.9846.9847.191. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRun 1GM-1000Extra1020304050Min: 46.71 / Avg: 46.98 / Max: 47.23Min: 46.81 / Avg: 46.98 / Max: 47.09Min: 47.14 / Avg: 47.19 / Max: 47.231. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRun 1GM-1000Extra612182430SE +/- 0.31, N = 3SE +/- 0.32, N = 3SE +/- 0.25, N = 327.5727.2626.321. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRun 1GM-1000Extra612182430Min: 27.25 / Avg: 27.57 / Max: 28.18Min: 26.9 / Avg: 27.26 / Max: 27.9Min: 26.01 / Avg: 26.32 / Max: 26.821. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteGM-1000Run 1612182430SE +/- 0.34, N = 4SE +/- 0.23, N = 1526.1926.981. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteGM-1000Run 1612182430Min: 25.66 / Avg: 26.19 / Max: 27.11Min: 25.37 / Avg: 26.98 / Max: 28.571. (CXX) g++ options: -O3 -lsnappy -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra3691215SE +/- 0.20, N = 3SE +/- 0.14, N = 12SE +/- 0.14, N = 312.6912.8213.08MIN: 10.89MIN: 8.95MIN: 10.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra48121620Min: 12.31 / Avg: 12.69 / Max: 12.95Min: 11.33 / Avg: 12.82 / Max: 13Min: 12.79 / Avg: 13.08 / Max: 13.261. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneRun 1GM-1000510152025SE +/- 0.01, N = 3SE +/- 0.19, N = 319.8119.74
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneRun 1GM-1000510152025Min: 19.79 / Avg: 19.81 / Max: 19.83Min: 19.54 / Avg: 19.74 / Max: 20.12

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: capacitaRun 1369121512.47

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillRun 1GM-1000200K400K600K800K1000KSE +/- 9270.31, N = 15SE +/- 13114.25, N = 1510741789810911. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillRun 1GM-1000200K400K600K800K1000KMin: 1045047 / Avg: 1074178 / Max: 1172186Min: 882368 / Avg: 981090.53 / Max: 10736091. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pRun 1GM-100020406080100SE +/- 1.33, N = 15SE +/- 1.58, N = 1580.3680.061. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pRun 1GM-10001530456075Min: 78.63 / Avg: 80.36 / Max: 98.91Min: 77.55 / Avg: 80.06 / Max: 98.981. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 20200916Target: Vulkan GPU - Model: yolov4-tinyRun 1GM-100048121620SE +/- 0.01, N = 3SE +/- 0.01, N = 315.6416.28MIN: 15.48 / MAX: 16.1MIN: 15.64 / MAX: 17.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyRun 1GM-100048121620Min: 15.63 / Avg: 15.64 / Max: 15.66Min: 16.26 / Avg: 16.28 / Max: 16.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Run 1GM-10003691215SE +/- 0.00, N = 3SE +/- 0.04, N = 312.9213.22MIN: 12.85 / MAX: 15.1MIN: 12.84 / MAX: 29.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Run 1GM-100048121620Min: 12.92 / Avg: 12.92 / Max: 12.93Min: 13.15 / Avg: 13.22 / Max: 13.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRun 1GM-1000246810SE +/- 0.01, N = 3SE +/- 0.08, N = 37.958.17MIN: 7.8 / MAX: 8.35MIN: 7.83 / MAX: 8.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRun 1GM-10003691215Min: 7.93 / Avg: 7.95 / Max: 7.96Min: 8.08 / Avg: 8.17 / Max: 8.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Run 1GM-10001.3052.613.9155.226.525SE +/- 0.00, N = 3SE +/- 0.01, N = 35.675.80MIN: 5.62 / MAX: 5.74MIN: 5.62 / MAX: 13.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Run 1GM-1000246810Min: 5.67 / Avg: 5.67 / Max: 5.67Min: 5.79 / Avg: 5.8 / Max: 5.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Run 1GM-1000816243240SE +/- 0.09, N = 3SE +/- 0.03, N = 332.4733.33MIN: 32.03 / MAX: 68.03MIN: 32.53 / MAX: 40.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Run 1GM-1000714212835Min: 32.36 / Avg: 32.47 / Max: 32.64Min: 33.28 / Avg: 33.33 / Max: 33.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRun 1GM-1000246810SE +/- 0.01, N = 3SE +/- 0.03, N = 37.667.84MIN: 7.62 / MAX: 7.84MIN: 7.62 / MAX: 10.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRun 1GM-10003691215Min: 7.65 / Avg: 7.66 / Max: 7.67Min: 7.79 / Avg: 7.84 / Max: 7.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceRun 1GM-10000.2340.4680.7020.9361.17SE +/- 0.00, N = 3SE +/- 0.01, N = 30.981.04MIN: 0.94 / MAX: 1.29MIN: 0.94 / MAX: 1.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceRun 1GM-1000246810Min: 0.98 / Avg: 0.98 / Max: 0.99Min: 1.01 / Avg: 1.04 / Max: 1.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Run 1GM-10001.17682.35363.53044.70725.884SE +/- 0.00, N = 3SE +/- 0.02, N = 35.115.23MIN: 5.04 / MAX: 5.49MIN: 5.06 / MAX: 5.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Run 1GM-1000246810Min: 5.11 / Avg: 5.11 / Max: 5.11Min: 5.18 / Avg: 5.23 / Max: 5.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRun 1GM-10000.69751.3952.09252.793.4875SE +/- 0.00, N = 3SE +/- 0.02, N = 33.043.10MIN: 2.99 / MAX: 3.66MIN: 3 / MAX: 4.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRun 1GM-1000246810Min: 3.04 / Avg: 3.04 / Max: 3.04Min: 3.06 / Avg: 3.1 / Max: 3.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Run 1GM-10000.53551.0711.60652.1422.6775SE +/- 0.00, N = 3SE +/- 0.01, N = 32.282.38MIN: 2.25 / MAX: 2.45MIN: 2.24 / MAX: 4.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Run 1GM-1000246810Min: 2.28 / Avg: 2.28 / Max: 2.29Min: 2.35 / Avg: 2.38 / Max: 2.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Run 1GM-10000.76281.52562.28843.05123.814SE +/- 0.00, N = 3SE +/- 0.03, N = 33.323.39MIN: 3.28 / MAX: 3.63MIN: 3.29 / MAX: 4.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Run 1GM-1000246810Min: 3.32 / Avg: 3.32 / Max: 3.32Min: 3.34 / Avg: 3.39 / Max: 3.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Run 1GM-10000.6751.352.0252.73.375SE +/- 0.00, N = 3SE +/- 0.03, N = 32.933.00MIN: 2.89 / MAX: 3.3MIN: 2.89 / MAX: 3.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Run 1GM-1000246810Min: 2.93 / Avg: 2.93 / Max: 2.93Min: 2.95 / Avg: 3 / Max: 3.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRun 1GM-10003691215SE +/- 0.00, N = 3SE +/- 0.00, N = 39.059.31MIN: 8.97 / MAX: 9.41MIN: 9 / MAX: 10.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRun 1GM-10003691215Min: 9.05 / Avg: 9.05 / Max: 9.05Min: 9.31 / Avg: 9.31 / Max: 9.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetRun 1GM-10003691215SE +/- 0.01, N = 3SE +/- 0.00, N = 310.0810.27MIN: 9.92 / MAX: 10.38MIN: 9.98 / MAX: 10.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetRun 1GM-10003691215Min: 10.06 / Avg: 10.08 / Max: 10.1Min: 10.26 / Avg: 10.27 / Max: 10.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pRun 1GM-100080160240320400SE +/- 1.32, N = 3SE +/- 2.32, N = 3367.71354.51MIN: 232.75 / MAX: 584.38MIN: 226.96 / MAX: 562.81. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pRun 1GM-100070140210280350Min: 365.26 / Avg: 367.71 / Max: 369.76Min: 350.42 / Avg: 354.51 / Max: 358.461. (CC) gcc options: -pthread

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoGM-1000Run 1Extra918273645SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 337.8837.9339.39
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoGM-1000Run 1Extra816243240Min: 37.84 / Avg: 37.88 / Max: 37.92Min: 37.75 / Avg: 37.93 / Max: 38.25Min: 39.35 / Avg: 39.39 / Max: 39.43

PostMark

This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceGM-1000Run 1Extra14002800420056007000SE +/- 56.00, N = 36578657864661. (CC) gcc options: -O3
OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceGM-1000Run 1Extra11002200330044005500Min: 6410 / Avg: 6466 / Max: 65781. (CC) gcc options: -O3

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURun 1GM-1000140280420560700SE +/- 1.10, N = 3SE +/- 8.43, N = 3558.66670.34MIN: 512.24MIN: 612.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURun 1GM-1000120240360480600Min: 556.94 / Avg: 558.66 / Max: 560.72Min: 653.52 / Avg: 670.34 / Max: 679.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileGM-1000Run 14080120160200SE +/- 0.58, N = 3SE +/- 0.33, N = 3186189
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileGM-1000Run 1306090120150Min: 185 / Avg: 186 / Max: 187Min: 188 / Avg: 188.67 / Max: 189

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURun 1GM-10001.33032.66063.99095.32126.6515SE +/- 0.03696, N = 3SE +/- 0.05068, N = 155.873505.91239MIN: 4.8MIN: 4.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURun 1GM-1000246810Min: 5.84 / Avg: 5.87 / Max: 5.95Min: 5.21 / Avg: 5.91 / Max: 5.991. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRun 1GM-1000714212835SE +/- 0.03, N = 3SE +/- 0.20, N = 328.5728.93
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRun 1GM-1000612182430Min: 28.54 / Avg: 28.57 / Max: 28.62Min: 28.67 / Avg: 28.93 / Max: 29.31

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURun 1GM-10000.98661.97322.95983.94644.933SE +/- 0.03755, N = 12SE +/- 0.04995, N = 44.354964.38502MIN: 3.91MIN: 4.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURun 1GM-1000246810Min: 3.94 / Avg: 4.35 / Max: 4.41Min: 4.24 / Avg: 4.39 / Max: 4.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibGM-1000Run 1510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 319.319.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibGM-1000Run 1510152025Min: 19.3 / Avg: 19.3 / Max: 19.3Min: 19.4 / Avg: 19.4 / Max: 19.4

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillRun 1GM-1000612182430SE +/- 0.25, N = 9SE +/- 0.33, N = 527.1027.201. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillRun 1GM-1000612182430Min: 25.8 / Avg: 27.1 / Max: 27.97Min: 26.18 / Avg: 27.2 / Max: 28.141. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillRun 1GM-1000816243240SE +/- 0.31, N = 9SE +/- 0.41, N = 532.632.51. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillRun 1GM-1000714212835Min: 31.6 / Avg: 32.6 / Max: 34.2Min: 31.4 / Avg: 32.52 / Max: 33.81. (CXX) g++ options: -O3 -lsnappy -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 RNAExtraGM-1000Run 13691215SE +/- 0.19, N = 3SE +/- 0.10, N = 11SE +/- 0.10, N = 1111.1011.2711.481. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAExtraGM-1000Run 13691215Min: 10.8 / Avg: 11.1 / Max: 11.44Min: 10.64 / Avg: 11.27 / Max: 11.85Min: 10.83 / Avg: 11.48 / Max: 11.981. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3GM-1000ExtraRun 18001600240032004000SE +/- 4.91, N = 3SE +/- 7.24, N = 3SE +/- 35.72, N = 33601.73552.83525.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3GM-1000ExtraRun 16001200180024003000Min: 3596 / Avg: 3601.73 / Max: 3611.5Min: 3538.6 / Avg: 3552.83 / Max: 3562.3Min: 3458.6 / Avg: 3525.57 / Max: 3580.61. (CC) gcc options: -O3 -pthread -lz -llzma

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pRun 1GM-100020406080100SE +/- 1.32, N = 15SE +/- 1.68, N = 15108.18107.791. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pRun 1GM-100020406080100Min: 105.65 / Avg: 108.18 / Max: 122.55Min: 104.13 / Avg: 107.79 / Max: 124.021. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Run 1GM-1000714212835SE +/- 0.05, N = 3SE +/- 0.17, N = 328.9629.101. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Run 1GM-1000612182430Min: 28.87 / Avg: 28.96 / Max: 29.04Min: 28.92 / Avg: 29.1 / Max: 29.441. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: doducRun 12468108.33

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: aermodRun 12468106.63

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGRun 1GM-1000612182430SE +/- 0.34, N = 4SE +/- 0.42, N = 324.3524.631. rsvg-convert version 2.50.1
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGRun 1GM-1000612182430Min: 23.95 / Avg: 24.35 / Max: 25.36Min: 24.21 / Avg: 24.63 / Max: 25.481. rsvg-convert version 2.50.1

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesRun 1GM-1000612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 326.9627.11
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesRun 1GM-1000612182430Min: 26.95 / Avg: 26.96 / Max: 26.99Min: 27.06 / Avg: 27.11 / Max: 27.13

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonRun 1GM-1000100200300400500SE +/- 0.58, N = 3SE +/- 2.73, N = 3457462
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonRun 1GM-100080160240320400Min: 456 / Avg: 457 / Max: 458Min: 457 / Avg: 462.33 / Max: 466

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsGM-1000Run 1714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 328.428.6
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsGM-1000Run 1612182430Min: 28.4 / Avg: 28.43 / Max: 28.5Min: 28.5 / Avg: 28.57 / Max: 28.6

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Run 1GM-100080160240320400SE +/- 0.13, N = 3SE +/- 0.15, N = 3359.29369.91MIN: 358.26 / MAX: 362.09MIN: 368.82 / MAX: 373.151. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Run 1GM-100070140210280350Min: 359.12 / Avg: 359.29 / Max: 359.54Min: 369.74 / Avg: 369.91 / Max: 370.221. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyRun 1GM-10000.0090.0180.0270.0360.045SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0400.0401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyRun 1GM-100012345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyRun 1GM-10005K10K15K20K25KSE +/- 169.75, N = 3SE +/- 159.81, N = 324971248621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyRun 1GM-10004K8K12K16K20KMin: 24733.65 / Avg: 24970.94 / Max: 25299.85Min: 24664.47 / Avg: 24861.59 / Max: 25178.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Run 1GM-100080160240320400SE +/- 0.10, N = 3SE +/- 0.13, N = 3361.90362.13MIN: 361.63 / MAX: 362.29MIN: 361.7 / MAX: 362.71. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Run 1GM-100060120180240300Min: 361.78 / Avg: 361.9 / Max: 362.1Min: 361.9 / Avg: 362.13 / Max: 362.351. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyRun 1GM-1000306090120150SE +/- 0.33, N = 3138138
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyRun 1GM-1000306090120150Min: 138 / Avg: 138.33 / Max: 139

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadGM-1000Run 11.13422.26843.40264.53685.671SE +/- 0.045, N = 15SE +/- 0.048, N = 154.8545.0411. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadGM-1000Run 1246810Min: 4.59 / Avg: 4.85 / Max: 5.13Min: 4.8 / Avg: 5.04 / Max: 5.461. (CXX) g++ options: -O3 -lsnappy -lpthread

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateRun 1GM-10001224364860SE +/- 0.06, N = 3SE +/- 0.15, N = 352.052.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateRun 1GM-10001020304050Min: 51.9 / Avg: 52 / Max: 52.1Min: 52.1 / Avg: 52.3 / Max: 52.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosRun 1GM-1000306090120150SE +/- 1.00, N = 3116117
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosRun 1GM-100020406080100Min: 115 / Avg: 117 / Max: 118

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatRun 1GM-1000306090120150121122

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsGM-1000Run 1Extra510152025SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 322.1522.2022.25
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsGM-1000Run 1Extra510152025Min: 22 / Avg: 22.14 / Max: 22.23Min: 22.01 / Avg: 22.2 / Max: 22.37Min: 22.19 / Avg: 22.25 / Max: 22.35

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesRun 1GM-1000306090120150SE +/- 0.33, N = 3116116
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesRun 1GM-100020406080100Min: 115 / Avg: 115.67 / Max: 116

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessExtraRun 1GM-1000510152025SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 320.9921.1221.201. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessExtraRun 1GM-1000510152025Min: 20.84 / Avg: 20.99 / Max: 21.06Min: 21.11 / Avg: 21.12 / Max: 21.14Min: 21.18 / Avg: 21.2 / Max: 21.211. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: acRun 12468106.01

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mdbxRun 11.19932.39863.59794.79725.99655.33

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomRun 1GM-10001.33382.66764.00145.33526.669SE +/- 0.056, N = 3SE +/- 0.070, N = 155.7505.9281. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomRun 1GM-1000246810Min: 5.64 / Avg: 5.75 / Max: 5.83Min: 5.43 / Avg: 5.93 / Max: 6.161. (CXX) g++ options: -O3 -lsnappy -lpthread

C-Blosc

A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzRun 1GM-1000Extra2K4K6K8K10KSE +/- 5.73, N = 3SE +/- 11.16, N = 4SE +/- 17.57, N = 38610.88600.48437.51. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzRun 1GM-1000Extra15003000450060007500Min: 8600.3 / Avg: 8610.83 / Max: 8620Min: 8567.4 / Avg: 8600.43 / Max: 8614.6Min: 8407.9 / Avg: 8437.5 / Max: 8468.71. (CXX) g++ options: -rdynamic

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRun 1GM-1000Extra48121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 316.8416.8717.36
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRun 1GM-1000Extra48121620Min: 16.83 / Avg: 16.84 / Max: 16.85Min: 16.85 / Avg: 16.87 / Max: 16.89Min: 17.35 / Avg: 17.36 / Max: 17.38

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0GM-1000Run 1246810SE +/- 0.022, N = 6SE +/- 0.016, N = 58.0078.015
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0GM-1000Run 13691215Min: 7.98 / Avg: 8.01 / Max: 8.12Min: 7.99 / Avg: 8.02 / Max: 8.08

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansGM-1000Run 1Extra8001600240032004000SE +/- 30.71, N = 5SE +/- 13.49, N = 4SE +/- 43.41, N = 4362137203722
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansGM-1000Run 1Extra6001200180024003000Min: 3510 / Avg: 3621.4 / Max: 3686Min: 3694 / Avg: 3719.75 / Max: 3745Min: 3612 / Avg: 3721.75 / Max: 3824

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: FastRun 1GM-1000246810SE +/- 0.00, N = 3SE +/- 0.01, N = 67.857.931. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastRun 1GM-10003691215Min: 7.85 / Avg: 7.85 / Max: 7.86Min: 7.9 / Avg: 7.93 / Max: 7.981. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pRun 1GM-100080160240320400SE +/- 0.69, N = 3SE +/- 0.50, N = 3357.23344.07MIN: 301.41 / MAX: 391.96MIN: 298.25 / MAX: 380.671. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pRun 1GM-100060120180240300Min: 355.87 / Avg: 357.23 / Max: 358.12Min: 343.12 / Avg: 344.07 / Max: 344.81. (CC) gcc options: -pthread

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionExtraGM-1000Run 1246810SE +/- 0.005, N = 3SE +/- 0.007, N = 5SE +/- 0.035, N = 38.5548.5728.5931. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionExtraGM-1000Run 13691215Min: 8.55 / Avg: 8.55 / Max: 8.56Min: 8.55 / Avg: 8.57 / Max: 8.58Min: 8.55 / Avg: 8.59 / Max: 8.661. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncGM-1000Run 16001200180024003000SE +/- 8.65, N = 10SE +/- 194.67, N = 152260.152630.531. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncGM-1000Run 15001000150020002500Min: 2218.02 / Avg: 2260.15 / Max: 2294.61Min: 2096.97 / Avg: 2630.53 / Max: 3963.511. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncGM-1000Run 10.090.180.270.360.45SE +/- 0.00, N = 10SE +/- 0.02, N = 150.40.31. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncGM-1000Run 112345Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.2 / Avg: 0.34 / Max: 0.41. (CXX) g++ options: -O3 -lsnappy -lpthread

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Run 1GM-1000246810SE +/- 0.002, N = 3SE +/- 0.007, N = 76.2576.2831. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Run 1GM-10003691215Min: 6.25 / Avg: 6.26 / Max: 6.26Min: 6.25 / Avg: 6.28 / Max: 6.311. (CXX) g++ options: -O3 -fPIC

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkRun 10.68631.37262.05892.74523.43153.05

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonGM-1000Run 1Extra11002200330044005500SE +/- 23.71, N = 6SE +/- 37.83, N = 4SE +/- 37.20, N = 4483348704926
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonGM-1000Run 1Extra9001800270036004500Min: 4762 / Avg: 4832.5 / Max: 4907Min: 4818 / Avg: 4869.5 / Max: 4982Min: 4848 / Avg: 4925.75 / Max: 5010

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Run 1GM-1000246810SE +/- 0.001, N = 3SE +/- 0.014, N = 66.6586.6721. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Run 1GM-10003691215Min: 6.66 / Avg: 6.66 / Max: 6.66Min: 6.65 / Avg: 6.67 / Max: 6.731. (CXX) g++ options: -O3 -fPIC

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRun 1ExtraGM-10001.14232.28463.42694.56925.7115SE +/- 0.013, N = 3SE +/- 0.033, N = 3SE +/- 0.047, N = 155.0774.8814.8701. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRun 1ExtraGM-1000246810Min: 5.06 / Avg: 5.08 / Max: 5.1Min: 4.82 / Avg: 4.88 / Max: 4.94Min: 4.71 / Avg: 4.87 / Max: 5.131. (CXX) g++ options: -O3 -pthread -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURun 1GM-1000Extra48121620SE +/- 0.05, N = 3SE +/- 0.05, N = 7SE +/- 0.11, N = 316.5516.6217.23MIN: 16.37MIN: 16.36MIN: 16.521. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURun 1GM-1000Extra48121620Min: 16.45 / Avg: 16.55 / Max: 16.61Min: 16.47 / Avg: 16.62 / Max: 16.78Min: 17.01 / Avg: 17.23 / Max: 17.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadGM-1000Run 11.07752.1553.23254.315.3875SE +/- 0.022, N = 8SE +/- 0.075, N = 34.7484.7891. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadGM-1000Run 1246810Min: 4.65 / Avg: 4.75 / Max: 4.82Min: 4.68 / Avg: 4.79 / Max: 4.931. (CXX) g++ options: -O3 -lsnappy -lpthread

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airRun 10.54451.0891.63352.1782.72252.42

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteRun 1GM-1000714212835SE +/- 0.12, N = 3SE +/- 0.24, N = 1526.9528.731. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteRun 1GM-1000612182430Min: 26.75 / Avg: 26.95 / Max: 27.17Min: 27.31 / Avg: 28.73 / Max: 30.061. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteRun 1GM-1000816243240SE +/- 0.15, N = 3SE +/- 0.26, N = 1532.830.81. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteRun 1GM-1000714212835Min: 32.5 / Avg: 32.77 / Max: 33Min: 29.4 / Avg: 30.77 / Max: 32.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillRun 1GM-1000714212835SE +/- 0.10, N = 3SE +/- 0.30, N = 1527.2928.461. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillRun 1GM-1000612182430Min: 27.11 / Avg: 27.29 / Max: 27.45Min: 27.23 / Avg: 28.46 / Max: 29.991. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillRun 1GM-1000816243240SE +/- 0.12, N = 3SE +/- 0.32, N = 1532.431.11. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillRun 1GM-1000714212835Min: 32.2 / Avg: 32.4 / Max: 32.6Min: 29.5 / Avg: 31.1 / Max: 32.51. (CXX) g++ options: -O3 -lsnappy -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUGM-1000Run 1Extra48121620SE +/- 0.02, N = 6SE +/- 0.03, N = 3SE +/- 0.08, N = 316.1216.2416.66MIN: 15.9MIN: 15.99MIN: 15.931. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUGM-1000Run 1Extra48121620Min: 16.07 / Avg: 16.12 / Max: 16.18Min: 16.2 / Avg: 16.24 / Max: 16.31Min: 16.52 / Avg: 16.66 / Max: 16.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPURun 1GM-1000Extra3691215SE +/- 0.02350, N = 3SE +/- 0.08092, N = 15SE +/- 0.15846, N = 38.273768.8837111.71060MIN: 8.02MIN: 8.11MIN: 10.781. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPURun 1GM-1000Extra3691215Min: 8.23 / Avg: 8.27 / Max: 8.31Min: 8.34 / Avg: 8.88 / Max: 9.44Min: 11.4 / Avg: 11.71 / Max: 11.911. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoGM-1000Run 1Extra0.74141.48282.22422.96563.707SE +/- 0.007, N = 9SE +/- 0.036, N = 7SE +/- 0.004, N = 33.2143.2213.295
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoGM-1000Run 1Extra246810Min: 3.19 / Avg: 3.21 / Max: 3.25Min: 3.18 / Avg: 3.22 / Max: 3.44Min: 3.29 / Avg: 3.29 / Max: 3.3

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPURun 1GM-1000246810SE +/- 0.01576, N = 3SE +/- 0.01402, N = 96.499666.69517MIN: 6.37MIN: 6.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPURun 1GM-10003691215Min: 6.47 / Avg: 6.5 / Max: 6.52Min: 6.64 / Avg: 6.7 / Max: 6.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestRun 1ExtraGM-1000110220330440550SE +/- 3.03, N = 12SE +/- 2.74, N = 15SE +/- 4.42, N = 15499.50483.18476.15MIN: 30.23 / MAX: 574.4MIN: 27.08 / MAX: 568.89MIN: 10.65 / MAX: 548.821. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestRun 1ExtraGM-100090180270360450Min: 467.78 / Avg: 499.5 / Max: 507.85Min: 463.88 / Avg: 483.18 / Max: 507.62Min: 443.63 / Avg: 476.15 / Max: 499.021. (CC) gcc options: -O2 -lm -pthread -lmpi

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestRun 1ExtraGM-1000130260390520650SE +/- 20.22, N = 12SE +/- 23.14, N = 15SE +/- 32.44, N = 15613.58465.18461.45MIN: 9.06 / MAX: 870.73MIN: 16.83 / MAX: 823.5MIN: 18.41 / MAX: 691.921. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestRun 1ExtraGM-1000110220330440550Min: 393.29 / Avg: 613.58 / Max: 658.22Min: 348.59 / Avg: 465.18 / Max: 619.12Min: 308.94 / Avg: 461.45 / Max: 626.341. (CC) gcc options: -O2 -lm -pthread -lmpi

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100GM-1000ExtraRun 10.62871.25741.88612.51483.1435SE +/- 0.001, N = 9SE +/- 0.001, N = 3SE +/- 0.005, N = 32.7802.7812.7941. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100GM-1000ExtraRun 1246810Min: 2.78 / Avg: 2.78 / Max: 2.78Min: 2.78 / Avg: 2.78 / Max: 2.78Min: 2.78 / Avg: 2.79 / Max: 2.81. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineGM-1000Run 1Extra7K14K21K28K35KSE +/- 47.47, N = 11SE +/- 57.05, N = 3SE +/- 74.99, N = 330890.9130256.2030034.451. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineGM-1000Run 1Extra5K10K15K20K25KMin: 30699.22 / Avg: 30890.91 / Max: 31121.85Min: 30159.92 / Avg: 30256.2 / Max: 30357.38Min: 29889.31 / Avg: 30034.45 / Max: 30139.731. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultExtraRun 1GM-10000.39580.79161.18741.58321.979SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 111.7541.7571.7591. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultExtraRun 1GM-1000246810Min: 1.75 / Avg: 1.75 / Max: 1.76Min: 1.76 / Avg: 1.76 / Max: 1.76Min: 1.75 / Avg: 1.76 / Max: 1.781. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

System Temperature Monitor

OpenBenchmarking.orgCelsiusSystem Temperature MonitorPhoronix Test Suite System MonitoringGM-10001530456075Min: 54 / Avg: 71.36 / Max: 76

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringGM-10001632486480Min: 49 / Avg: 67.98 / Max: 82

218 Results Shown

Timed LLVM Compilation
Incompact3D
ASTC Encoder
AI Benchmark Alpha:
  Device AI Score
  Device Training Score
  Device Inference Score
Java Gradle Build
Polyhedron Fortran Benchmarks
Kripke
YafaRay
Mlpack Benchmark
LeelaChessZero:
  Eigen
  BLAS
Monte Carlo Simulations of Ionised Nebulae
GROMACS
Polyhedron Fortran Benchmarks
BRL-CAD
Facebook RocksDB
Kvazaar
Numenta Anomaly Benchmark
RealSR-NCNN
WireGuard + Linux Networking Stack Stress Test
SVT-AV1
Numpy Benchmark
Apache Cassandra
Caffe
Polyhedron Fortran Benchmarks
Facebook RocksDB
Polyhedron Fortran Benchmarks
Timed Linux Kernel Compilation
High Performance Conjugate Gradient
Polyhedron Fortran Benchmarks
LuxCoreRender
NAMD
libavif avifenc
dav1d
Polyhedron Fortran Benchmarks
Numenta Anomaly Benchmark
LuxCoreRender
John The Ripper
TensorFlow Lite:
  Inception V4
  Inception ResNet V2
Mlpack Benchmark
Timed GDB GNU Debugger Compilation
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  resnet-v2-50
  SqueezeNetV1.0
eSpeak-NG Speech Engine
Hierarchical INTegration
Timed HMMer Search
Polyhedron Fortran Benchmarks
OpenVKL
PostgreSQL pgbench:
  1 - 50 - Read Only - Average Latency
  1 - 50 - Read Only
Caffe
Zstd Compression
BYTE Unix Benchmark
VP9 libvpx Encoding
Caffe
Timed PHP Compilation
GLmark2
libavif avifenc
Kvazaar
OpenSSL
Numenta Anomaly Benchmark:
  Windowed Gaussian
  Bayesian Changepoint
RawTherapee
NCNN:
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
  CPU - squeezenet
x265
Kvazaar
Caffe
DaCapo Benchmark
PyPerformance
ASTC Encoder
Intel Open Image Denoise
Facebook RocksDB
PostgreSQL pgbench:
  1 - 50 - Read Write - Average Latency
  1 - 50 - Read Write
PyPerformance
Hugin
ASTC Encoder
TensorFlow Lite:
  SqueezeNet
  NASNet Mobile
KeyDB
Facebook RocksDB
7-Zip Compression
Timed Apache Compilation
Polyhedron Fortran Benchmarks:
  protein
  induct2
Kvazaar
John The Ripper
x265
Mlpack Benchmark
Kvazaar
oneDNN:
  IP Batch 1D - f32 - CPU
  IP Batch 1D - u8s8f32 - CPU
PyPerformance
PostgreSQL pgbench:
  1 - 1 - Read Write - Average Latency
  1 - 1 - Read Write
Kvazaar
TensorFlow Lite:
  Mobilenet Quant
  Mobilenet Float
Git
OCRMyPDF
oneDNN:
  IP Batch All - u8s8f32 - CPU
  IP Batch All - f32 - CPU
VP9 libvpx Encoding
SVT-AV1
dav1d
DaCapo Benchmark
oneDNN
PyPerformance
oneDNN
WebP Image Encode
LibRaw
LevelDB
oneDNN
rays1bench
Polyhedron Fortran Benchmarks
Facebook RocksDB
SVT-VP9
NCNN:
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - resnet50
  Vulkan GPU - alexnet
  Vulkan GPU - resnet18
  Vulkan GPU - vgg16
  Vulkan GPU - googlenet
  Vulkan GPU - blazeface
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - mnasnet
  Vulkan GPU - shufflenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - mobilenet
  Vulkan GPU - squeezenet
dav1d
RealSR-NCNN
PostMark
oneDNN
PyPerformance
oneDNN
Mlpack Benchmark
oneDNN
PyPerformance
LevelDB:
  Seq Fill:
    Microseconds Per Op
    MB/s
Timed MAFFT Alignment
Zstd Compression
SVT-VP9
RNNoise
Polyhedron Fortran Benchmarks:
  doduc
  aermod
librsvg
Tesseract OCR
PyPerformance:
  pickle_pure_python
  json_loads
TNN
PostgreSQL pgbench:
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Only
TNN
PyPerformance
LevelDB
PyPerformance:
  django_template
  chaos
  float
Dolfyn
PyPerformance
WebP Image Encode
Polyhedron Fortran Benchmarks:
  ac
  mdbx
LevelDB
C-Blosc
Waifu2x-NCNN Vulkan
GNU Octave Benchmark
DaCapo Benchmark
ASTC Encoder
dav1d
WebP Image Encode
LevelDB:
  Fill Sync:
    Microseconds Per Op
    MB/s
libavif avifenc
Polyhedron Fortran Benchmarks
DaCapo Benchmark
libavif avifenc
LAMMPS Molecular Dynamics Simulator
oneDNN
LevelDB
Polyhedron Fortran Benchmarks
LevelDB:
  Overwrite:
    Microseconds Per Op
    MB/s
  Rand Fill:
    Microseconds Per Op
    MB/s
oneDNN:
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
Waifu2x-NCNN Vulkan
oneDNN
IOR:
  Read Test
  Write Test
WebP Image Encode
FFTE
WebP Image Encode
System Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Celsius