7900X New

Intel Core i7-7900X testing with a ASRock X299 Extreme4 (P1.50 BIOS) and Zotac NVIDIA GeForce GT 610 1GB on Ubuntu 19.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010024-FI-7900XNEW720
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7900X NewProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolution123Intel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads)ASRock X299 Extreme4 (P1.50 BIOS)Intel Sky Lake-E DMI3 Registers16GB120GB Corsair Force MP500Zotac NVIDIA GeForce GT 610 1GBRealtek ALC1220LG Ultra HDIntel I219-VUbuntu 19.045.0.0-38-generic (x86_64)GNOME Shell 3.32.1X Server 1.20.4modesetting 1.20.4GCC 11.0.0 20200929ext41920x1080OpenBenchmarking.orgCompiler Details- --disable-multilib --enable-checking=release --enable-languages=c,c++,fortran Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2000064Java Details- OpenJDK Runtime Environment (build 11.0.5+10-post-Ubuntu-0ubuntu1.119.04)Python Details- Python 2.7.16 + Python 3.7.3Security Details- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

123Result OverviewPhoronix Test Suite100%102%105%107%Algebraic Multi-Grid BenchmarkeSpeak-NG Speech EngineJava Gradle BuildNeatBenchLULESHOCRMyPDFYafaRayTimed MAFFT AlignmentRNNoiseTimed Linux Kernel CompilationoneDNNRodiniaNCNNKeyDBIntel Open Image DenoiseBRL-CADHuginC-BloscSVT-VP9LAMMPS Molecular Dynamics SimulatorLuxCoreRenderInfluxDBTimed LLVM CompilationZstd CompressionG'MICWebP Image EncodeHierarchical INTegrationEmbreeLibRawMlpack BenchmarkTimed Apache CompilationOpenVKLNAMDMobile Neural NetworkPyPerformanceTimed HMMer SearchTesseract OCRTensorFlow LiteRawTherapeelibavif avifencAOM AV1dav1dBasis UniversalGNU Octave BenchmarkGitBYTE Unix BenchmarkCaffeSVT-AV1DaCapo BenchmarkRenaissanceGPAWTNNBlenderOpenCV

7900X Newblosc: blosclzrodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomsamg: hmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAlammps: 20k Atomslammps: Rhodopsin Proteinlulesh: webp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionjava-gradle-perf: Reactordacapobench: H2dacapobench: Jythondacapobench: Tradesoapdacapobench: Tradebeansrenaissance: Scala Dottyrenaissance: Rand Forestrenaissance: Apache Spark ALSrenaissance: Apache Spark Bayesrenaissance: Savina Reactors.IOrenaissance: Apache Spark PageRankrenaissance: Twitter HTTP Requestsrenaissance: In-Memory Database Shootoutrenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Genetic Algorithm Using Jenetics + Futuresbyte: Dhrystone 2compress-zstd: 3compress-zstd: 19libraw: Post-Processing Benchmarkonednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch All - u8s8f32 - CPUonednn: IP Batch 1D - bf16bf16bf16 - CPUonednn: IP Batch All - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch deconv_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch deconv_3d - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimeembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objsvt-av1: Enc Mode 0 - 1080psvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 8 - 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080poidn: Memorialopenvkl: vklBenchmarkopenvkl: vklBenchmarkStructuredVolumeluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismavifenc: 0avifenc: 2avifenc: 8avifenc: 10build-apache: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Time To Compileyafaray: Total Time For Sample Sceneespeak: Text-To-Speech Synthesiskeydb: tensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2basis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3basis: UASTC Level 2 + RDO Post-Processinggmic: 2D Function Plotting, 1000 Timesgmic: Plotting Isosurface Of A 3D Volume, 1000 Timesgmic: 3D Elevated Function In Rand Colors, 100 Timeshugin: Panorama Photo Assistant + Stitching Timeocrmypdf: Processing 60 Page PDF Documentoctave-benchmark: rawtherapee: Total Benchmark Timecaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: AlexNet - CPU - 1000caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200caffe: GoogleNet - CPU - 1000gpaw: Carbon Nanotubemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlypyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonhint: FLOATneatbench: CPUgit: Time To Complete Common Git Commandsmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressiontesseract-ocr: Time To OCR 7 Imageskripke: brl-cad: VGR Performance Metricopencv: DNN - Deep Neural Networkinfluxdb: 4 - 10000 - 2,5000,1 - 10000rnnoise: 1239271.2225.52698.049109.67920.13814.0821.5985521811.29133.45110.5217.4657.51011.4801011.4662.26517.9097.05141.216285.59544623806407965071800.1162184.9792367.4811531.73223109.9353941.9002290.0114791.11410146.3764831.34641673100.14366.554.338.663.1751943.40091.1894416.85978.0658795.165910.60872.513323.4489010.060681.468602.20377202.21485.758812.583014.524916.25432.095070.8701652.82863610.06178.79496.0486.740.312.2417.893.5232.7811.606713.534313.920512.892017.667415.69580.1333.96333.358187.94200.60156.0819.71175.6756744630.2252251.681.7990.00854.4635.6695.38525.50982.580605.557162.82530.389653144.311911712836850181809133967136609256399350.7097.95630.99458.721721.816114.15619.27763.18155.08230.9808.11653.94847971962324786041221102437961220000249.7227.55735.6314.6054.21340.92215.1116.845.504.644.344.976.821.9414.1045.4112.1210.9923.0925.07315.683296.366151.14451.27208.93605.44509.6121330295.994.610217.840823.897.715410.546.9403430439779.8902718.450.94151.4943.0215.162.3726.636291405212385543931201483.226.7769346.1223.69496.205109.64220.11813.6631.5922622928.86133.26410.2907.5567.51411.8105211.4502.26717.8847.01140.902289.45944813733411064211768.7752121.9622370.4261534.53023820.7834038.9302328.0844861.3549866.1304702.29841712858.14338.354.438.823.3112144.60641.2099317.06468.1104495.143010.64612.583573.479779.974121.470762.25585205.07289.674512.594914.545316.52892.096430.8451012.83661610.40177.82495.7586.730.312.2317.923.5232.7611.786113.546913.958812.911817.808415.66440.1333.96733.339189.66201.18155.6719.66176.2856075820.3603611.701.7890.18454.045.6865.44325.50081.472606.316166.54030.463650558.981911482832607181669133478136479255417750.9337.98230.95758.762721.873115.81519.31763.18855.54230.6118.12653.85648100960394783531222992441541220130249.9607.52435.6024.6684.22141.17215.2117.265.374.554.334.866.681.8813.6345.7712.1210.9223.2124.58315.398296.420151.51452.25209.39605.36508.8721330097.195.110217.840823.697.615410.547.0400429449066.3595717.850.96751.8143.2215.142.3626.69512301942671194436.427.0799318.6224.734100.046109.37320.01013.7911.5960123819.17133.10010.4977.4977.49411.7050651.4552.28517.9197.01941.044301.16745203765419863481762.7742172.2682390.5171526.98923326.5284028.3222311.6844926.07110202.4764691.55841700019.84345.254.038.833.1771143.49831.1924516.93548.0891995.096410.57492.508313.450269.916431.467842.18216201.08686.170912.626714.510016.21882.087050.8596702.82811609.04178.64494.2886.670.312.2317.933.5132.6111.709413.421214.092212.902517.718415.64670.1333.97933.307187.64199.74155.3619.54176.1456461883.8198201.671.7989.54354.1795.7125.44625.60782.110602.002164.84828.249647412.541910412831243181512133377136482255323751.0457.97230.99158.777721.678114.53319.17963.28755.21631.3578.11853.81148019959914791691218542439571220333250.2617.50335.5404.6204.21541.10514.9517.045.444.654.374.946.701.9314.2045.2511.9210.9022.9224.91315.078296.314151.24451.81209.24605.01508.7921330495.994.710417.840823.997.915410.547.0403428315485.2755218.350.90951.6843.1215.142.4026.63412279743011201966.826.610OpenBenchmarking.org

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: blosclz1232K4K6K8K10KSE +/- 3.65, N = 3SE +/- 9.60, N = 3SE +/- 22.72, N = 39271.29346.19318.61. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclz12316003200480064008000Min: 9266.6 / Avg: 9271.2 / Max: 9278.4Min: 9329 / Avg: 9346.07 / Max: 9362.2Min: 9273.5 / Avg: 9318.63 / Max: 9345.81. (CXX) g++ options: -rdynamic

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD12350100150200250SE +/- 0.96, N = 3SE +/- 0.55, N = 3SE +/- 1.60, N = 3225.53223.69224.731. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD1234080120160200Min: 224.01 / Avg: 225.53 / Max: 227.3Min: 222.64 / Avg: 223.69 / Max: 224.48Min: 222.22 / Avg: 224.73 / Max: 227.711. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D12320406080100SE +/- 1.37, N = 4SE +/- 0.01, N = 3SE +/- 1.43, N = 498.0596.21100.051. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D12320406080100Min: 96.56 / Avg: 98.05 / Max: 102.15Min: 96.2 / Avg: 96.21 / Max: 96.22Min: 95.95 / Avg: 100.05 / Max: 102.041. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte12320406080100SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3109.68109.64109.371. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte12320406080100Min: 109.5 / Avg: 109.68 / Max: 110Min: 109.34 / Avg: 109.64 / Max: 109.94Min: 109.22 / Avg: 109.37 / Max: 109.681. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver123510152025SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 320.1420.1220.011. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver123510152025Min: 20.07 / Avg: 20.14 / Max: 20.2Min: 20.04 / Avg: 20.12 / Max: 20.17Min: 19.92 / Avg: 20.01 / Max: 20.081. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster12348121620SE +/- 0.15, N = 8SE +/- 0.17, N = 15SE +/- 0.16, N = 1514.0813.6613.791. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster12348121620Min: 13.06 / Avg: 14.08 / Max: 14.36Min: 12.8 / Avg: 13.66 / Max: 14.35Min: 12.84 / Avg: 13.79 / Max: 14.331. (CXX) g++ options: -O2 -lOpenCL

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 Atoms1230.35970.71941.07911.43881.7985SE +/- 0.00295, N = 3SE +/- 0.00324, N = 3SE +/- 0.00436, N = 31.598551.592261.59601
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms123246810Min: 1.59 / Avg: 1.6 / Max: 1.6Min: 1.59 / Avg: 1.59 / Max: 1.6Min: 1.59 / Avg: 1.6 / Max: 1.6

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark1235K10K15K20K25KSE +/- 181.95, N = 3SE +/- 292.58, N = 4SE +/- 145.70, N = 321811.2922928.8623819.171. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark1234K8K12K16K20KMin: 21563.43 / Avg: 21811.29 / Max: 22165.96Min: 22123.89 / Avg: 22928.86 / Max: 23520.07Min: 23634.6 / Avg: 23819.17 / Max: 24106.751. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

Timed HMMer Search

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.27, N = 3133.45133.26133.101. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150Min: 133.23 / Avg: 133.45 / Max: 133.59Min: 132.88 / Avg: 133.26 / Max: 133.82Min: 132.62 / Avg: 133.1 / Max: 133.571. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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 RNA1233691215SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 310.5210.2910.501. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215Min: 10.45 / Avg: 10.52 / Max: 10.64Min: 10.04 / Avg: 10.29 / Max: 10.42Min: 10.44 / Avg: 10.5 / Max: 10.611. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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: 20k Atoms123246810SE +/- 0.015, N = 3SE +/- 0.015, N = 3SE +/- 0.011, N = 37.4657.5567.4971. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k Atoms1233691215Min: 7.44 / Avg: 7.46 / Max: 7.49Min: 7.54 / Avg: 7.56 / Max: 7.59Min: 7.48 / Avg: 7.5 / Max: 7.521. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein123246810SE +/- 0.021, N = 3SE +/- 0.008, N = 3SE +/- 0.012, N = 37.5107.5147.4941. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein1233691215Min: 7.47 / Avg: 7.51 / Max: 7.54Min: 7.5 / Avg: 7.51 / Max: 7.52Min: 7.48 / Avg: 7.49 / Max: 7.521. (CXX) g++ options: -O3 -pthread -lm

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31233691215SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 411.4811.8111.711. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31233691215Min: 11.22 / Avg: 11.48 / Max: 11.76Min: 11.74 / Avg: 11.81 / Max: 11.92Min: 11.27 / Avg: 11.71 / Max: 12.071. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -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: Default1230.32990.65980.98971.31961.6495SE +/- 0.009, N = 3SE +/- 0.009, N = 3SE +/- 0.013, N = 31.4661.4501.4551. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default123246810Min: 1.45 / Avg: 1.47 / Max: 1.48Min: 1.43 / Avg: 1.45 / Max: 1.46Min: 1.43 / Avg: 1.45 / Max: 1.471. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.51411.02821.54232.05642.5705SE +/- 0.009, N = 3SE +/- 0.010, N = 3SE +/- 0.015, N = 32.2652.2672.2851. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100123246810Min: 2.25 / Avg: 2.27 / Max: 2.28Min: 2.25 / Avg: 2.27 / Max: 2.29Min: 2.26 / Avg: 2.29 / Max: 2.311. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless12348121620SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 317.9117.8817.921. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless123510152025Min: 17.86 / Avg: 17.91 / Max: 17.95Min: 17.88 / Avg: 17.88 / Max: 17.89Min: 17.85 / Avg: 17.92 / Max: 17.961. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression123246810SE +/- 0.019, N = 3SE +/- 0.017, N = 3SE +/- 0.016, N = 37.0517.0117.0191. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1233691215Min: 7.02 / Avg: 7.05 / Max: 7.08Min: 6.99 / Avg: 7.01 / Max: 7.05Min: 6.99 / Avg: 7.02 / Max: 7.041. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123918273645SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 341.2240.9041.041. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123918273645Min: 41.19 / Avg: 41.22 / Max: 41.26Min: 40.85 / Avg: 40.9 / Max: 40.99Min: 40.98 / Avg: 41.04 / Max: 41.111. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg

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: Reactor12370140210280350SE +/- 4.07, N = 3SE +/- 4.60, N = 9SE +/- 4.29, N = 3285.60289.46301.17
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: Reactor12350100150200250Min: 278.25 / Avg: 285.6 / Max: 292.32Min: 274.36 / Avg: 289.46 / Max: 316.31Min: 296.17 / Avg: 301.17 / Max: 309.7

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: H212310002000300040005000SE +/- 31.29, N = 18SE +/- 41.85, N = 20SE +/- 41.45, N = 4446244814520
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H21238001600240032004000Min: 4144 / Avg: 4462.44 / Max: 4757Min: 4163 / Avg: 4480.9 / Max: 4868Min: 4439 / Avg: 4520.25 / Max: 4632

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Jython1238001600240032004000SE +/- 7.72, N = 4SE +/- 25.83, N = 4SE +/- 30.00, N = 4380637333765
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Jython1237001400210028003500Min: 3791 / Avg: 3805.75 / Max: 3826Min: 3660 / Avg: 3732.5 / Max: 3781Min: 3720 / Avg: 3765.25 / Max: 3848

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradesoap1239001800270036004500SE +/- 27.44, N = 4SE +/- 37.49, N = 4SE +/- 37.21, N = 3407941104198
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradesoap1237001400210028003500Min: 4020 / Avg: 4078.5 / Max: 4152Min: 4004 / Avg: 4110 / Max: 4178Min: 4125 / Avg: 4198.33 / Max: 4246

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradebeans12314002800420056007000SE +/- 63.74, N = 4SE +/- 62.97, N = 9SE +/- 37.45, N = 4650764216348
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradebeans12311002200330044005500Min: 6317 / Avg: 6506.75 / Max: 6592Min: 6172 / Avg: 6421.22 / Max: 6750Min: 6254 / Avg: 6348.25 / Max: 6435

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Scala Dotty123400800120016002000SE +/- 16.25, N = 5SE +/- 12.30, N = 5SE +/- 10.01, N = 51800.121768.781762.77
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Scala Dotty12330060090012001500Min: 1774.67 / Avg: 1800.12 / Max: 1860.33Min: 1748.79 / Avg: 1768.77 / Max: 1816.68Min: 1726.83 / Avg: 1762.77 / Max: 1786.79

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random Forest1235001000150020002500SE +/- 22.85, N = 5SE +/- 15.11, N = 17SE +/- 25.98, N = 52184.982121.962172.27
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random Forest123400800120016002000Min: 2124.54 / Avg: 2184.98 / Max: 2232.77Min: 2029.11 / Avg: 2121.96 / Max: 2216.38Min: 2070.25 / Avg: 2172.27 / Max: 2211.46

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark ALS1235001000150020002500SE +/- 19.20, N = 5SE +/- 13.21, N = 5SE +/- 17.15, N = 172367.482370.432390.52
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark ALS123400800120016002000Min: 2310.92 / Avg: 2367.48 / Max: 2415.06Min: 2341.42 / Avg: 2370.43 / Max: 2415.49Min: 2282.05 / Avg: 2390.52 / Max: 2529.15

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark Bayes12330060090012001500SE +/- 18.43, N = 25SE +/- 18.56, N = 25SE +/- 13.83, N = 51531.731534.531526.99
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark Bayes12330060090012001500Min: 1428.74 / Avg: 1531.73 / Max: 1819.69Min: 1442.57 / Avg: 1534.53 / Max: 1868.17Min: 1477.68 / Avg: 1526.99 / Max: 1555.52

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Savina Reactors.IO1235K10K15K20K25KSE +/- 256.36, N = 5SE +/- 217.82, N = 5SE +/- 179.08, N = 2023109.9423820.7823326.53
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Savina Reactors.IO1234K8K12K16K20KMin: 22294.75 / Avg: 23109.94 / Max: 23692.46Min: 23186.83 / Avg: 23820.78 / Max: 24354.79Min: 21735.57 / Avg: 23326.53 / Max: 25042.49

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRank1239001800270036004500SE +/- 43.45, N = 25SE +/- 42.51, N = 25SE +/- 42.16, N = 253941.904038.934028.32
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRank1237001400210028003500Min: 3596.17 / Avg: 3941.9 / Max: 4331.25Min: 3699.03 / Avg: 4038.93 / Max: 4442.62Min: 3665.95 / Avg: 4028.32 / Max: 4422.16

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP Requests1235001000150020002500SE +/- 7.20, N = 5SE +/- 12.66, N = 5SE +/- 10.38, N = 52290.012328.082311.68
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP Requests123400800120016002000Min: 2262.92 / Avg: 2290.01 / Max: 2304.01Min: 2283.3 / Avg: 2328.08 / Max: 2358.67Min: 2275.09 / Avg: 2311.68 / Max: 2334.68

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database Shootout12311002200330044005500SE +/- 60.85, N = 5SE +/- 49.84, N = 25SE +/- 36.91, N = 54791.114861.354926.07
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database Shootout1239001800270036004500Min: 4648.93 / Avg: 4791.11 / Max: 5011.95Min: 4238 / Avg: 4861.35 / Max: 5163.14Min: 4841.4 / Avg: 4926.07 / Max: 5059.2

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed Tree1232K4K6K8K10KSE +/- 169.48, N = 15SE +/- 115.84, N = 5SE +/- 97.43, N = 510146.389866.1310202.48
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed Tree1232K4K6K8K10KMin: 9295.88 / Avg: 10146.38 / Max: 12074.41Min: 9523.31 / Avg: 9866.13 / Max: 10087Min: 9989.97 / Avg: 10202.48 / Max: 10499.16

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Genetic Algorithm Using Jenetics + Futures12310002000300040005000SE +/- 51.97, N = 15SE +/- 44.75, N = 20SE +/- 55.22, N = 204831.354702.304691.56
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Genetic Algorithm Using Jenetics + Futures1238001600240032004000Min: 4468.08 / Avg: 4831.35 / Max: 5038.96Min: 4400.86 / Avg: 4702.3 / Max: 5067.51Min: 4393.15 / Avg: 4691.56 / Max: 5099.84

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 21239M18M27M36M45MSE +/- 41963.68, N = 3SE +/- 123890.70, N = 3SE +/- 18764.26, N = 341673100.141712858.141700019.8
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21237M14M21M28M35MMin: 41625344 / Avg: 41673100.07 / Max: 41756747.4Min: 41468122.8 / Avg: 41712858.07 / Max: 41868769.7Min: 41679916.5 / Avg: 41700019.83 / Max: 41737515.7

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: 31239001800270036004500SE +/- 5.94, N = 3SE +/- 2.76, N = 3SE +/- 4.38, N = 34366.54338.34345.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 31238001600240032004000Min: 4359 / Avg: 4366.47 / Max: 4378.2Min: 4332.8 / Avg: 4338.3 / Max: 4341.4Min: 4336.6 / Avg: 4345.17 / Max: 43511. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 191231224364860SE +/- 0.00, N = 3SE +/- 0.32, N = 3SE +/- 0.38, N = 354.354.454.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 191231122334455Min: 54.3 / Avg: 54.3 / Max: 54.3Min: 53.8 / Avg: 54.43 / Max: 54.8Min: 53.4 / Avg: 53.97 / Max: 54.71. (CC) gcc options: -O3 -pthread -lz -llzma

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 Benchmark123918273645SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 338.6638.8238.831. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123816243240Min: 38.55 / Avg: 38.66 / Max: 38.79Min: 38.71 / Avg: 38.82 / Max: 38.98Min: 38.82 / Avg: 38.83 / Max: 38.841. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -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: IP Batch 1D - Data Type: f32 - Engine: CPU1230.7451.492.2352.983.725SE +/- 0.00204, N = 3SE +/- 0.07364, N = 14SE +/- 0.00502, N = 33.175193.311213.17711MIN: 3.07MIN: 3.1MIN: 3.081. (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: CPU123246810Min: 3.17 / Avg: 3.18 / Max: 3.18Min: 3.19 / Avg: 3.31 / Max: 4.26Min: 3.17 / Avg: 3.18 / Max: 3.191. (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: CPU1231020304050SE +/- 0.04, N = 3SE +/- 0.56, N = 3SE +/- 0.07, N = 343.4044.6143.50MIN: 41.11MIN: 41.49MIN: 41.121. (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: CPU123918273645Min: 43.35 / Avg: 43.4 / Max: 43.48Min: 43.84 / Avg: 44.61 / Max: 45.69Min: 43.37 / Avg: 43.5 / Max: 43.571. (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: CPU1230.27220.54440.81661.08881.361SE +/- 0.00077, N = 3SE +/- 0.00275, N = 3SE +/- 0.00566, N = 31.189441.209931.19245MIN: 1.16MIN: 1.18MIN: 1.161. (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: CPU123246810Min: 1.19 / Avg: 1.19 / Max: 1.19Min: 1.2 / Avg: 1.21 / Max: 1.21Min: 1.19 / Avg: 1.19 / Max: 1.21. (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: CPU12348121620SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 316.8617.0616.94MIN: 16.37MIN: 16.72MIN: 16.431. (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: CPU12348121620Min: 16.8 / Avg: 16.86 / Max: 16.94Min: 17.05 / Avg: 17.06 / Max: 17.09Min: 16.86 / Avg: 16.94 / Max: 171. (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: bf16bf16bf16 - Engine: CPU123246810SE +/- 0.00100, N = 3SE +/- 0.03696, N = 3SE +/- 0.02158, N = 38.065878.110448.08919MIN: 8MIN: 8MIN: 81. (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: bf16bf16bf16 - Engine: CPU1233691215Min: 8.06 / Avg: 8.07 / Max: 8.07Min: 8.07 / Avg: 8.11 / Max: 8.18Min: 8.06 / Avg: 8.09 / Max: 8.131. (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: bf16bf16bf16 - Engine: CPU12320406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 395.1795.1495.10MIN: 94.26MIN: 94.32MIN: 94.271. (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: bf16bf16bf16 - Engine: CPU12320406080100Min: 95.11 / Avg: 95.17 / Max: 95.21Min: 95.08 / Avg: 95.14 / Max: 95.18Min: 95.07 / Avg: 95.1 / Max: 95.151. (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: CPU1233691215SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 310.6110.6510.57MIN: 10.55MIN: 10.52MIN: 10.51. (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: CPU1233691215Min: 10.61 / Avg: 10.61 / Max: 10.61Min: 10.57 / Avg: 10.65 / Max: 10.79Min: 10.57 / Avg: 10.57 / Max: 10.591. (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: CPU1230.58131.16261.74392.32522.9065SE +/- 0.00797, N = 3SE +/- 0.00820, N = 3SE +/- 0.00718, N = 32.513322.583572.50831MIN: 2.45MIN: 2.51MIN: 2.451. (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: CPU123246810Min: 2.5 / Avg: 2.51 / Max: 2.53Min: 2.57 / Avg: 2.58 / Max: 2.6Min: 2.5 / Avg: 2.51 / Max: 2.521. (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: CPU1230.78291.56582.34873.13163.9145SE +/- 0.00242, N = 3SE +/- 0.01044, N = 3SE +/- 0.00663, N = 33.448903.479773.45026MIN: 3.4MIN: 3.43MIN: 3.41. (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: CPU123246810Min: 3.45 / Avg: 3.45 / Max: 3.45Min: 3.46 / Avg: 3.48 / Max: 3.5Min: 3.44 / Avg: 3.45 / Max: 3.461. (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: CPU1233691215SE +/- 0.06923, N = 3SE +/- 0.01762, N = 3SE +/- 0.03654, N = 310.060689.974129.91643MIN: 9.92MIN: 9.89MIN: 9.821. (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: CPU1233691215Min: 9.99 / Avg: 10.06 / Max: 10.2Min: 9.95 / Avg: 9.97 / Max: 10.01Min: 9.87 / Avg: 9.92 / Max: 9.991. (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: CPU1230.33090.66180.99271.32361.6545SE +/- 0.00183, N = 3SE +/- 0.00089, N = 3SE +/- 0.00104, N = 31.468601.470761.46784MIN: 1.45MIN: 1.46MIN: 1.451. (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: CPU123246810Min: 1.47 / Avg: 1.47 / Max: 1.47Min: 1.47 / Avg: 1.47 / Max: 1.47Min: 1.47 / Avg: 1.47 / Max: 1.471. (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: CPU1230.50761.01521.52282.03042.538SE +/- 0.02337, N = 3SE +/- 0.02099, N = 3SE +/- 0.01102, N = 32.203772.255852.18216MIN: 2.16MIN: 2.21MIN: 2.151. (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: CPU123246810Min: 2.17 / Avg: 2.2 / Max: 2.25Min: 2.23 / Avg: 2.26 / Max: 2.3Min: 2.17 / Avg: 2.18 / Max: 2.21. (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: CPU12350100150200250SE +/- 0.24, N = 3SE +/- 0.48, N = 3SE +/- 0.29, N = 3202.21205.07201.09MIN: 200.84MIN: 203.25MIN: 199.441. (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: CPU1234080120160200Min: 201.78 / Avg: 202.21 / Max: 202.61Min: 204.18 / Avg: 205.07 / Max: 205.84Min: 200.53 / Avg: 201.09 / Max: 201.521. (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: CPU12320406080100SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 385.7689.6786.17MIN: 84.62MIN: 88.46MIN: 84.951. (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: CPU12320406080100Min: 85.42 / Avg: 85.76 / Max: 86.19Min: 89.42 / Avg: 89.67 / Max: 89.83Min: 85.85 / Avg: 86.17 / Max: 86.341. (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: bf16bf16bf16 - Engine: CPU1233691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 312.5812.5912.63MIN: 12.36MIN: 12.37MIN: 12.431. (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: bf16bf16bf16 - Engine: CPU12348121620Min: 12.58 / Avg: 12.58 / Max: 12.58Min: 12.59 / Avg: 12.59 / Max: 12.61Min: 12.6 / Avg: 12.63 / Max: 12.651. (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: bf16bf16bf16 - Engine: CPU12348121620SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 314.5214.5514.51MIN: 14.31MIN: 14.29MIN: 14.311. (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: bf16bf16bf16 - Engine: CPU12348121620Min: 14.5 / Avg: 14.52 / Max: 14.57Min: 14.49 / Avg: 14.55 / Max: 14.65Min: 14.5 / Avg: 14.51 / Max: 14.541. (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: bf16bf16bf16 - Engine: CPU12348121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 316.2516.5316.22MIN: 16.17MIN: 16.44MIN: 16.141. (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: bf16bf16bf16 - Engine: CPU12348121620Min: 16.22 / Avg: 16.25 / Max: 16.31Min: 16.5 / Avg: 16.53 / Max: 16.58Min: 16.21 / Avg: 16.22 / Max: 16.221. (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: CPU1230.47170.94341.41511.88682.3585SE +/- 0.01389, N = 3SE +/- 0.00344, N = 3SE +/- 0.00361, N = 32.095072.096432.08705MIN: 2.04MIN: 2.06MIN: 2.061. (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: CPU123246810Min: 2.07 / Avg: 2.1 / Max: 2.12Min: 2.09 / Avg: 2.1 / Max: 2.1Min: 2.08 / Avg: 2.09 / Max: 2.091. (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: CPU1230.19580.39160.58740.78320.979SE +/- 0.002444, N = 3SE +/- 0.001415, N = 3SE +/- 0.000700, N = 30.8701650.8451010.859670MIN: 0.84MIN: 0.82MIN: 0.831. (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: CPU123246810Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.84 / Avg: 0.85 / Max: 0.85Min: 0.86 / Avg: 0.86 / Max: 0.861. (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: bf16bf16bf16 - Engine: CPU1230.63821.27641.91462.55283.191SE +/- 0.00103, N = 3SE +/- 0.00212, N = 3SE +/- 0.02581, N = 32.828632.836612.82811MIN: 2.68MIN: 2.68MIN: 2.651. (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: bf16bf16bf16 - Engine: CPU123246810Min: 2.83 / Avg: 2.83 / Max: 2.83Min: 2.83 / Avg: 2.84 / Max: 2.84Min: 2.79 / Avg: 2.83 / Max: 2.881. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 1080p123130260390520650SE +/- 1.75, N = 3SE +/- 1.88, N = 3SE +/- 3.14, N = 3610.06610.40609.04MIN: 465.77 / MAX: 779.74MIN: 465.82 / MAX: 795.4MIN: 463.93 / MAX: 783.911. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p123110220330440550Min: 608.17 / Avg: 610.06 / Max: 613.56Min: 606.83 / Avg: 610.4 / Max: 613.21Min: 605.54 / Avg: 609.04 / Max: 615.31. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4K1234080120160200SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.31, N = 3178.79177.82178.64MIN: 156.78 / MAX: 198.38MIN: 155.22 / MAX: 197.63MIN: 154.31 / MAX: 198.671. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4K123306090120150Min: 178.63 / Avg: 178.79 / Max: 179Min: 177.55 / Avg: 177.82 / Max: 178.06Min: 178.13 / Avg: 178.64 / Max: 179.21. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080p123110220330440550SE +/- 0.66, N = 3SE +/- 1.82, N = 3SE +/- 1.11, N = 3496.04495.75494.28MIN: 384.41 / MAX: 542.46MIN: 384.94 / MAX: 544.39MIN: 380.44 / MAX: 541.51. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080p12390180270360450Min: 494.8 / Avg: 496.04 / Max: 497.05Min: 492.1 / Avg: 495.75 / Max: 497.62Min: 492.36 / Avg: 494.28 / Max: 496.191. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bit12320406080100SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 386.7486.7386.67MIN: 57.94 / MAX: 211.3MIN: 57.89 / MAX: 206.91MIN: 57.82 / MAX: 213.791. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bit1231632486480Min: 86.62 / Avg: 86.74 / Max: 86.93Min: 86.57 / Avg: 86.73 / Max: 86.86Min: 86.57 / Avg: 86.67 / Max: 86.731. (CC) gcc options: -pthread

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-Pass1230.06980.13960.20940.27920.349SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.310.310.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-Pass12312345Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.31 / Avg: 0.31 / Max: 0.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass1230.5041.0081.5122.0162.52SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.242.232.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass123246810Min: 2.23 / Avg: 2.24 / Max: 2.24Min: 2.22 / Avg: 2.23 / Max: 2.25Min: 2.23 / Avg: 2.23 / Max: 2.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime12348121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 317.8917.9217.931. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime123510152025Min: 17.82 / Avg: 17.89 / Max: 17.95Min: 17.89 / Avg: 17.92 / Max: 17.97Min: 17.88 / Avg: 17.93 / Max: 17.981. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass1230.7921.5842.3763.1683.96SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.523.523.511. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass123246810Min: 3.51 / Avg: 3.52 / Max: 3.52Min: 3.52 / Avg: 3.52 / Max: 3.53Min: 3.49 / Avg: 3.51 / Max: 3.531. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime123816243240SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 332.7832.7632.611. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime123714212835Min: 32.71 / Avg: 32.78 / Max: 32.86Min: 32.68 / Avg: 32.76 / Max: 32.85Min: 32.43 / Avg: 32.61 / Max: 32.81. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown1233691215SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 311.6111.7911.71MIN: 11.24 / MAX: 12MIN: 11.66 / MAX: 11.96MIN: 11.61 / MAX: 11.87
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown1233691215Min: 11.43 / Avg: 11.61 / Max: 11.88Min: 11.72 / Avg: 11.79 / Max: 11.83Min: 11.67 / Avg: 11.71 / Max: 11.74

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown1233691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 313.5313.5513.42MIN: 13.4 / MAX: 13.76MIN: 13.41 / MAX: 13.78MIN: 13.28 / MAX: 13.65
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown12348121620Min: 13.49 / Avg: 13.53 / Max: 13.58Min: 13.49 / Avg: 13.55 / Max: 13.59Min: 13.36 / Avg: 13.42 / Max: 13.46

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon12348121620SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 313.9213.9614.09MIN: 13.7 / MAX: 14.23MIN: 13.81 / MAX: 14.14MIN: 13.84 / MAX: 14.36
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon12348121620Min: 13.73 / Avg: 13.92 / Max: 14.13Min: 13.86 / Avg: 13.96 / Max: 14.04Min: 13.88 / Avg: 14.09 / Max: 14.24

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj1233691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 312.8912.9112.90MIN: 12.85 / MAX: 13MIN: 12.87 / MAX: 13.02MIN: 12.82 / MAX: 13.01
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj12348121620Min: 12.88 / Avg: 12.89 / Max: 12.9Min: 12.9 / Avg: 12.91 / Max: 12.92Min: 12.85 / Avg: 12.9 / Max: 12.94

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon12348121620SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 317.6717.8117.72MIN: 17.49 / MAX: 17.87MIN: 17.44 / MAX: 18.21MIN: 17.53 / MAX: 17.97
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon123510152025Min: 17.56 / Avg: 17.67 / Max: 17.76Min: 17.57 / Avg: 17.81 / Max: 18.04Min: 17.63 / Avg: 17.72 / Max: 17.8

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj12348121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 315.7015.6615.65MIN: 15.6 / MAX: 15.88MIN: 15.58 / MAX: 15.85MIN: 15.57 / MAX: 15.82
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj12348121620Min: 15.65 / Avg: 15.7 / Max: 15.75Min: 15.64 / Avg: 15.66 / Max: 15.68Min: 15.62 / Avg: 15.65 / Max: 15.68

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: 1080p1230.02990.05980.08970.11960.1495SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1330.1330.1331. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080p12312345Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.131. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080p1230.89531.79062.68593.58124.4765SE +/- 0.011, N = 3SE +/- 0.010, N = 3SE +/- 0.012, N = 33.9633.9673.9791. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080p123246810Min: 3.95 / Avg: 3.96 / Max: 3.98Min: 3.95 / Avg: 3.97 / Max: 3.98Min: 3.96 / Avg: 3.98 / Max: 41. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080p123816243240SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 333.3633.3433.311. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080p123714212835Min: 33.24 / Avg: 33.36 / Max: 33.57Min: 33.07 / Avg: 33.34 / Max: 33.51Min: 33.24 / Avg: 33.31 / Max: 33.391. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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: VMAF Optimized - Input: Bosphorus 1080p1234080120160200SE +/- 3.14, N = 3SE +/- 2.67, N = 4SE +/- 3.06, N = 3187.94189.66187.641. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080p123306090120150Min: 181.65 / Avg: 187.94 / Max: 191.2Min: 181.71 / Avg: 189.66 / Max: 193.05Min: 181.54 / Avg: 187.64 / Max: 191.081. (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 1080p1234080120160200SE +/- 0.14, N = 3SE +/- 0.33, N = 3SE +/- 0.81, N = 3200.60201.18199.741. (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 1080p1234080120160200Min: 200.33 / Avg: 200.6 / Max: 200.8Min: 200.53 / Avg: 201.18 / Max: 201.61Min: 198.68 / Avg: 199.74 / Max: 201.341. (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 1080p123306090120150SE +/- 0.25, N = 3SE +/- 0.36, N = 3SE +/- 0.51, N = 3156.08155.67155.361. (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 1080p123306090120150Min: 155.68 / Avg: 156.08 / Max: 156.54Min: 154.96 / Avg: 155.67 / Max: 156.09Min: 154.48 / Avg: 155.36 / Max: 156.251. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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: Memorial123510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 319.7119.6619.54
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: Memorial123510152025Min: 19.66 / Avg: 19.71 / Max: 19.75Min: 19.61 / Avg: 19.66 / Max: 19.69Min: 19.46 / Avg: 19.54 / Max: 19.63

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: vklBenchmark1234080120160200SE +/- 0.76, N = 3SE +/- 1.33, N = 3SE +/- 0.45, N = 3175.67176.28176.14MIN: 1 / MAX: 755MIN: 1 / MAX: 749MIN: 1 / MAX: 759
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmark123306090120150Min: 174.17 / Avg: 175.67 / Max: 176.58Min: 173.83 / Avg: 176.28 / Max: 178.42Min: 175.25 / Avg: 176.14 / Max: 176.67

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolume12312M24M36M48M60MSE +/- 640455.21, N = 3SE +/- 102024.09, N = 3SE +/- 254970.05, N = 356744630.2356075820.3656461883.82MIN: 1223481 / MAX: 389287872MIN: 1231969 / MAX: 373823712MIN: 1241223 / MAX: 371099664
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolume12310M20M30M40M50MMin: 55595335.19 / Avg: 56744630.23 / Max: 57809062.7Min: 55898283.73 / Avg: 56075820.36 / Max: 56251693.81Min: 56104698.62 / Avg: 56461883.82 / Max: 56955664.03

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: DLSC1230.38250.7651.14751.531.9125SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 31.681.701.67MIN: 1.61 / MAX: 1.72MIN: 1.63 / MAX: 1.78MIN: 1.6 / MAX: 1.72
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSC123246810Min: 1.67 / Avg: 1.68 / Max: 1.69Min: 1.67 / Avg: 1.7 / Max: 1.73Min: 1.67 / Avg: 1.67 / Max: 1.69

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and Prism1230.40280.80561.20841.61122.014SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.791.781.79MIN: 1.78 / MAX: 1.82MIN: 1.76 / MAX: 1.82MIN: 1.77 / MAX: 1.85
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and Prism123246810Min: 1.78 / Avg: 1.79 / Max: 1.8Min: 1.76 / Avg: 1.78 / Max: 1.8Min: 1.77 / Avg: 1.79 / Max: 1.81

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: 012320406080100SE +/- 0.59, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 390.0190.1889.541. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 012320406080100Min: 88.97 / Avg: 90.01 / Max: 91Min: 90.07 / Avg: 90.18 / Max: 90.3Min: 89.02 / Avg: 89.54 / Max: 90.051. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 21231224364860SE +/- 0.31, N = 3SE +/- 0.24, N = 3SE +/- 0.11, N = 354.4654.0454.181. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 21231122334455Min: 53.88 / Avg: 54.46 / Max: 54.96Min: 53.56 / Avg: 54.04 / Max: 54.32Min: 54.03 / Avg: 54.18 / Max: 54.391. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 81231.28522.57043.85565.14086.426SE +/- 0.007, N = 3SE +/- 0.027, N = 3SE +/- 0.019, N = 35.6695.6865.7121. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8123246810Min: 5.66 / Avg: 5.67 / Max: 5.68Min: 5.64 / Avg: 5.69 / Max: 5.73Min: 5.69 / Avg: 5.71 / Max: 5.751. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 101231.22542.45083.67624.90166.127SE +/- 0.011, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 35.3855.4435.4461. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10123246810Min: 5.37 / Avg: 5.39 / Max: 5.4Min: 5.43 / Avg: 5.44 / Max: 5.46Min: 5.45 / Avg: 5.45 / Max: 5.451. (CXX) g++ options: -O3 -fPIC

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 Compile123612182430SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 325.5125.5025.61
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile123612182430Min: 25.47 / Avg: 25.51 / Max: 25.55Min: 25.41 / Avg: 25.5 / Max: 25.64Min: 25.6 / Avg: 25.61 / Max: 25.61

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 Compile12320406080100SE +/- 0.67, N = 3SE +/- 0.75, N = 3SE +/- 0.86, N = 382.5881.4782.11
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To Compile1231632486480Min: 81.85 / Avg: 82.58 / Max: 83.92Min: 80.55 / Avg: 81.47 / Max: 82.96Min: 81.07 / Avg: 82.11 / Max: 83.81

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 Compile123130260390520650SE +/- 2.27, N = 3SE +/- 4.02, N = 3SE +/- 3.87, N = 3605.56606.32602.00
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To Compile123110220330440550Min: 603.14 / Avg: 605.56 / Max: 610.09Min: 598.48 / Avg: 606.32 / Max: 611.77Min: 594.33 / Avg: 602 / Max: 606.7

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 Scene1234080120160200SE +/- 2.59, N = 3SE +/- 2.58, N = 12SE +/- 2.55, N = 3162.83166.54164.851. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lboost_system -lboost_filesystem -lboost_locale
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample Scene123306090120150Min: 158.16 / Avg: 162.83 / Max: 167.09Min: 159.18 / Avg: 166.54 / Max: 193.11Min: 160.33 / Avg: 164.85 / Max: 169.161. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lboost_system -lboost_filesystem -lboost_locale

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 Synthesis123714212835SE +/- 0.33, N = 16SE +/- 0.24, N = 4SE +/- 0.14, N = 430.3930.4628.251. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123714212835Min: 26.44 / Avg: 30.39 / Max: 32.85Min: 30.15 / Avg: 30.46 / Max: 31.17Min: 27.86 / Avg: 28.25 / Max: 28.51. (CC) gcc options: -O2 -std=c99

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 6.0.16123140K280K420K560K700KSE +/- 2274.07, N = 3SE +/- 837.37, N = 3SE +/- 422.72, N = 3653144.31650558.98647412.541. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16123110K220K330K440K550KMin: 649939.36 / Avg: 653144.31 / Max: 657541.49Min: 648914.86 / Avg: 650558.98 / Max: 651657.14Min: 646854.48 / Avg: 647412.54 / Max: 648241.571. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: SqueezeNet12340K80K120K160K200KSE +/- 377.66, N = 3SE +/- 337.48, N = 3SE +/- 359.21, N = 3191171191148191041
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet12330K60K90K120K150KMin: 190584 / Avg: 191170.67 / Max: 191876Min: 190524 / Avg: 191147.67 / Max: 191683Min: 190442 / Avg: 191041 / Max: 191684

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4123600K1200K1800K2400K3000KSE +/- 4029.11, N = 3SE +/- 2935.10, N = 3SE +/- 2268.55, N = 3283685028326072831243
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4123500K1000K1500K2000K2500KMin: 2829510 / Avg: 2836850 / Max: 2843400Min: 2827200 / Avg: 2832606.67 / Max: 2837290Min: 2826710 / Avg: 2831243.33 / Max: 2833670

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile12340K80K120K160K200KSE +/- 113.93, N = 3SE +/- 369.09, N = 3SE +/- 248.04, N = 3181809181669181512
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile12330K60K90K120K150KMin: 181619 / Avg: 181809.33 / Max: 182013Min: 181174 / Avg: 181669.33 / Max: 182391Min: 181126 / Avg: 181512.33 / Max: 181975

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float12330K60K90K120K150KSE +/- 99.22, N = 3SE +/- 36.88, N = 3SE +/- 74.51, N = 3133967133478133377
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float12320K40K60K80K100KMin: 133769 / Avg: 133967.33 / Max: 134072Min: 133429 / Avg: 133477.67 / Max: 133550Min: 133274 / Avg: 133377.33 / Max: 133522

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant12330K60K90K120K150KSE +/- 53.26, N = 3SE +/- 46.16, N = 3SE +/- 32.25, N = 3136609136479136482
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant12320K40K60K80K100KMin: 136503 / Avg: 136609.33 / Max: 136668Min: 136424 / Avg: 136479.33 / Max: 136571Min: 136418 / Avg: 136482 / Max: 136521

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2123500K1000K1500K2000K2500KSE +/- 1919.48, N = 3SE +/- 1370.60, N = 3SE +/- 2061.83, N = 3256399325541772553237
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2123400K800K1200K1600K2000KMin: 2560160 / Avg: 2563993.33 / Max: 2566090Min: 2551520 / Avg: 2554176.67 / Max: 2556090Min: 2549210 / Avg: 2553236.67 / Max: 2556020

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S1231224364860SE +/- 0.24, N = 3SE +/- 0.32, N = 3SE +/- 0.34, N = 350.7150.9351.051. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S1231020304050Min: 50.37 / Avg: 50.71 / Max: 51.18Min: 50.3 / Avg: 50.93 / Max: 51.34Min: 50.37 / Avg: 51.05 / Max: 51.381. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0123246810SE +/- 0.014, N = 3SE +/- 0.010, N = 3SE +/- 0.008, N = 37.9567.9827.9721. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 01233691215Min: 7.94 / Avg: 7.96 / Max: 7.98Min: 7.96 / Avg: 7.98 / Max: 8Min: 7.96 / Avg: 7.97 / Max: 7.981. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2123714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 330.9930.9630.991. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2123714212835Min: 30.95 / Avg: 30.99 / Max: 31.03Min: 30.94 / Avg: 30.96 / Max: 30.99Min: 30.99 / Avg: 30.99 / Max: 30.991. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 31231326395265SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 358.7258.7658.781. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 31231224364860Min: 58.7 / Avg: 58.72 / Max: 58.77Min: 58.74 / Avg: 58.76 / Max: 58.78Min: 58.77 / Avg: 58.78 / Max: 58.781. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-Processing123160320480640800SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3721.82721.87721.681. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-Processing123130260390520650Min: 721.79 / Avg: 721.82 / Max: 721.84Min: 721.78 / Avg: 721.87 / Max: 721.97Min: 721.45 / Avg: 721.68 / Max: 721.851. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 Times123306090120150SE +/- 1.20, N = 8SE +/- 1.22, N = 3SE +/- 1.02, N = 15114.16115.82114.531. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 Times12320406080100Min: 110.93 / Avg: 114.16 / Max: 120.9Min: 113.87 / Avg: 115.81 / Max: 118.06Min: 110.9 / Avg: 114.53 / Max: 122.641. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 Times123510152025SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 319.2819.3219.181. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 Times123510152025Min: 19.1 / Avg: 19.28 / Max: 19.61Min: 19.24 / Avg: 19.32 / Max: 19.47Min: 19.13 / Avg: 19.18 / Max: 19.221. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 Times1231428425670SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 363.1863.1963.291. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 Times1231224364860Min: 63.13 / Avg: 63.18 / Max: 63.22Min: 63.17 / Avg: 63.19 / Max: 63.21Min: 63.19 / Avg: 63.29 / Max: 63.421. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 Time1231224364860SE +/- 0.35, N = 3SE +/- 0.78, N = 4SE +/- 0.42, N = 355.0855.5455.22
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching Time1231122334455Min: 54.38 / Avg: 55.08 / Max: 55.46Min: 53.98 / Avg: 55.54 / Max: 57.56Min: 54.73 / Avg: 55.22 / Max: 56.04

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 8.0.1+dfsgProcessing 60 Page PDF Document123714212835SE +/- 0.33, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 330.9830.6131.36
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 8.0.1+dfsgProcessing 60 Page PDF Document123714212835Min: 30.64 / Avg: 30.98 / Max: 31.64Min: 30.47 / Avg: 30.61 / Max: 30.82Min: 31.27 / Avg: 31.36 / Max: 31.52

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 4.4.1123246810SE +/- 0.023, N = 5SE +/- 0.020, N = 5SE +/- 0.031, N = 58.1168.1268.118
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 4.4.11233691215Min: 8.07 / Avg: 8.12 / Max: 8.2Min: 8.07 / Avg: 8.13 / Max: 8.19Min: 8.07 / Avg: 8.12 / Max: 8.24

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 Time1231224364860SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 353.9553.8653.811. RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Time1231122334455Min: 53.78 / Avg: 53.95 / Max: 54.1Min: 53.81 / Avg: 53.86 / Max: 53.94Min: 53.78 / Avg: 53.81 / Max: 53.841. RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line.

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: 10012310K20K30K40K50KSE +/- 101.10, N = 3SE +/- 130.16, N = 3SE +/- 74.48, N = 34797148100480191. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1001238K16K24K32K40KMin: 47808 / Avg: 47970.67 / Max: 48156Min: 47941 / Avg: 48100 / Max: 48358Min: 47891 / Avg: 48019.33 / Max: 481491. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012320K40K60K80K100KSE +/- 100.00, N = 3SE +/- 34.60, N = 3SE +/- 123.16, N = 39623296039959911. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012320K40K60K80K100KMin: 96037 / Avg: 96232 / Max: 96368Min: 96000 / Avg: 96039 / Max: 96108Min: 95759 / Avg: 95990.67 / Max: 961791. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1000123100K200K300K400K500KSE +/- 159.61, N = 3SE +/- 301.22, N = 3SE +/- 305.87, N = 34786044783534791691. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100012380K160K240K320K400KMin: 478415 / Avg: 478603.67 / Max: 478921Min: 477776 / Avg: 478352.67 / Max: 478792Min: 478649 / Avg: 479168.67 / Max: 4797081. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012330K60K90K120K150KSE +/- 72.07, N = 3SE +/- 196.94, N = 3SE +/- 207.96, N = 31221101222991218541. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012320K40K60K80K100KMin: 122001 / Avg: 122109.67 / Max: 122246Min: 122009 / Avg: 122299.33 / Max: 122675Min: 121445 / Avg: 121853.67 / Max: 1221251. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012350K100K150K200K250KSE +/- 275.20, N = 3SE +/- 136.15, N = 3SE +/- 490.17, N = 32437962441542439571. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012340K80K120K160K200KMin: 243357 / Avg: 243796 / Max: 244303Min: 243889 / Avg: 244154.33 / Max: 244340Min: 243033 / Avg: 243956.67 / Max: 2447031. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1000123300K600K900K1200K1500KSE +/- 1694.74, N = 3SE +/- 576.40, N = 3SE +/- 638.13, N = 31220000122013012203331. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1000123200K400K600K800K1000KMin: 1217680 / Avg: 1220000 / Max: 1223300Min: 1219260 / Avg: 1220130 / Max: 1221220Min: 1219370 / Avg: 1220333.33 / Max: 12215401. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon Nanotube12350100150200250SE +/- 0.71, N = 3SE +/- 0.35, N = 3SE +/- 0.28, N = 3249.72249.96250.261. (CC) gcc options: -pthread -shared -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon Nanotube12350100150200250Min: 248.8 / Avg: 249.72 / Max: 251.11Min: 249.33 / Avg: 249.96 / Max: 250.54Min: 249.72 / Avg: 250.26 / Max: 250.631. (CC) gcc options: -pthread -shared -lxc -lblas -lmpi

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: SqueezeNetV1.0123246810SE +/- 0.036, N = 3SE +/- 0.021, N = 3SE +/- 0.018, N = 37.5577.5247.503MIN: 7.35 / MAX: 28.35MIN: 7.37 / MAX: 8.84MIN: 7.35 / MAX: 9.051. (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: SqueezeNetV1.01233691215Min: 7.52 / Avg: 7.56 / Max: 7.63Min: 7.48 / Avg: 7.52 / Max: 7.55Min: 7.47 / Avg: 7.5 / Max: 7.521. (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-v2-50123816243240SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 335.6335.6035.54MIN: 35.04 / MAX: 97.88MIN: 35.19 / MAX: 80.6MIN: 35.2 / MAX: 71.131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50123816243240Min: 35.47 / Avg: 35.63 / Max: 35.78Min: 35.36 / Avg: 35.6 / Max: 35.84Min: 35.41 / Avg: 35.54 / Max: 35.651. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_2241231.05032.10063.15094.20125.2515SE +/- 0.005, N = 3SE +/- 0.058, N = 3SE +/- 0.020, N = 34.6054.6684.620MIN: 4.46 / MAX: 5.98MIN: 4.47 / MAX: 67.24MIN: 4.44 / MAX: 6.021. (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_224123246810Min: 4.6 / Avg: 4.6 / Max: 4.61Min: 4.6 / Avg: 4.67 / Max: 4.78Min: 4.58 / Avg: 4.62 / Max: 4.651. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.01230.94971.89942.84913.79884.7485SE +/- 0.008, N = 3SE +/- 0.014, N = 3SE +/- 0.017, N = 34.2134.2214.215MIN: 4.13 / MAX: 5.67MIN: 4.14 / MAX: 5.06MIN: 4.12 / MAX: 8.761. (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-v1-1.0123246810Min: 4.2 / Avg: 4.21 / Max: 4.23Min: 4.2 / Avg: 4.22 / Max: 4.25Min: 4.18 / Avg: 4.22 / Max: 4.241. (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-v3123918273645SE +/- 0.32, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 340.9241.1741.11MIN: 40.1 / MAX: 98.32MIN: 40.61 / MAX: 100.93MIN: 40.44 / MAX: 104.581. (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-v3123918273645Min: 40.32 / Avg: 40.92 / Max: 41.42Min: 40.88 / Avg: 41.17 / Max: 41.4Min: 40.83 / Avg: 41.11 / Max: 41.411. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet12348121620SE +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 315.1115.2114.95MIN: 14.85 / MAX: 61.59MIN: 14.81 / MAX: 15.89MIN: 14.57 / MAX: 19.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet12348121620Min: 14.93 / Avg: 15.11 / Max: 15.41Min: 14.88 / Avg: 15.21 / Max: 15.51Min: 14.65 / Avg: 14.95 / Max: 15.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet12348121620SE +/- 0.02, N = 3SE +/- 0.32, N = 3SE +/- 0.22, N = 316.8417.2617.04MIN: 16.72 / MAX: 17.69MIN: 16.74 / MAX: 63.4MIN: 16.72 / MAX: 17.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet12348121620Min: 16.8 / Avg: 16.84 / Max: 16.88Min: 16.82 / Avg: 17.26 / Max: 17.89Min: 16.81 / Avg: 17.04 / Max: 17.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21231.23752.4753.71254.956.1875SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 35.505.375.44MIN: 5.24 / MAX: 5.69MIN: 5.17 / MAX: 6.06MIN: 5.24 / MAX: 5.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2123246810Min: 5.41 / Avg: 5.5 / Max: 5.57Min: 5.31 / Avg: 5.37 / Max: 5.42Min: 5.31 / Avg: 5.44 / Max: 5.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31231.04632.09263.13894.18525.2315SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 34.644.554.65MIN: 4.47 / MAX: 4.79MIN: 4.45 / MAX: 5.99MIN: 4.44 / MAX: 5.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 4.53 / Avg: 4.64 / Max: 4.7Min: 4.48 / Avg: 4.55 / Max: 4.6Min: 4.61 / Avg: 4.65 / Max: 4.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21230.98331.96662.94993.93324.9165SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 34.344.334.37MIN: 4.24 / MAX: 4.94MIN: 4.27 / MAX: 4.4MIN: 4.25 / MAX: 5.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810Min: 4.29 / Avg: 4.34 / Max: 4.4Min: 4.32 / Avg: 4.33 / Max: 4.34Min: 4.32 / Avg: 4.37 / Max: 4.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1231.11832.23663.35494.47325.5915SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 34.974.864.94MIN: 4.71 / MAX: 6.29MIN: 4.69 / MAX: 5MIN: 4.73 / MAX: 5.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810Min: 4.86 / Avg: 4.97 / Max: 5.03Min: 4.8 / Avg: 4.86 / Max: 4.91Min: 4.84 / Avg: 4.94 / Max: 5.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0123246810SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 36.826.686.70MIN: 6.51 / MAX: 7.14MIN: 6.54 / MAX: 6.83MIN: 6.49 / MAX: 6.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215Min: 6.6 / Avg: 6.82 / Max: 7.01Min: 6.65 / Avg: 6.68 / Max: 6.7Min: 6.6 / Avg: 6.7 / Max: 6.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.43650.8731.30951.7462.1825SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 31.941.881.93MIN: 1.85 / MAX: 2.12MIN: 1.85 / MAX: 1.96MIN: 1.84 / MAX: 2.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 1.88 / Avg: 1.94 / Max: 2.03Min: 1.88 / Avg: 1.88 / Max: 1.88Min: 1.88 / Avg: 1.93 / Max: 2.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620SE +/- 0.25, N = 3SE +/- 0.01, N = 3SE +/- 0.40, N = 314.1013.6314.20MIN: 13.53 / MAX: 56.4MIN: 13.5 / MAX: 14.99MIN: 13.48 / MAX: 63.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620Min: 13.63 / Avg: 14.1 / Max: 14.48Min: 13.61 / Avg: 13.63 / Max: 13.64Min: 13.58 / Avg: 14.2 / Max: 14.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231020304050SE +/- 0.20, N = 3SE +/- 0.28, N = 3SE +/- 0.47, N = 345.4145.7745.25MIN: 45.02 / MAX: 46.7MIN: 45.15 / MAX: 93MIN: 44.04 / MAX: 85.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16123918273645Min: 45.11 / Avg: 45.41 / Max: 45.8Min: 45.23 / Avg: 45.77 / Max: 46.19Min: 44.37 / Avg: 45.25 / Max: 45.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet181233691215SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.22, N = 312.1212.1211.92MIN: 11.98 / MAX: 13.14MIN: 11.99 / MAX: 12.25MIN: 11.41 / MAX: 12.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620Min: 12.02 / Avg: 12.12 / Max: 12.23Min: 12.03 / Avg: 12.12 / Max: 12.17Min: 11.47 / Avg: 11.92 / Max: 12.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet1233691215SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 310.9910.9210.90MIN: 10.85 / MAX: 37.5MIN: 10.86 / MAX: 11.62MIN: 10.83 / MAX: 111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet1233691215Min: 10.9 / Avg: 10.99 / Max: 11.13Min: 10.9 / Avg: 10.92 / Max: 10.93Min: 10.86 / Avg: 10.9 / Max: 10.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123612182430SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 323.0923.2122.92MIN: 22.94 / MAX: 23.66MIN: 22.97 / MAX: 24.73MIN: 22.34 / MAX: 24.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123510152025Min: 23.04 / Avg: 23.09 / Max: 23.16Min: 23.09 / Avg: 23.21 / Max: 23.33Min: 22.45 / Avg: 22.92 / Max: 23.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123612182430SE +/- 0.31, N = 3SE +/- 0.14, N = 3SE +/- 0.40, N = 325.0724.5824.91MIN: 24.64 / MAX: 25.79MIN: 24.22 / MAX: 26.04MIN: 24.24 / MAX: 26.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123612182430Min: 24.71 / Avg: 25.07 / Max: 25.68Min: 24.31 / Avg: 24.58 / Max: 24.78Min: 24.33 / Avg: 24.91 / Max: 25.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 v212370140210280350SE +/- 0.40, N = 3SE +/- 0.24, N = 3SE +/- 0.04, N = 3315.68315.40315.08MIN: 314.48 / MAX: 332.45MIN: 314.51 / MAX: 326.8MIN: 314.62 / MAX: 316.041. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 315.04 / Avg: 315.68 / Max: 316.4Min: 315.08 / Avg: 315.4 / Max: 315.88Min: 315 / Avg: 315.08 / Max: 315.121. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 3296.37296.42296.31MIN: 295.7 / MAX: 311.12MIN: 295.78 / MAX: 308.68MIN: 295.84 / MAX: 301.861. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250Min: 296.09 / Avg: 296.37 / Max: 296.62Min: 296.19 / Avg: 296.42 / Max: 296.85Min: 296.18 / Avg: 296.31 / Max: 296.51. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-Only123306090120150SE +/- 0.15, N = 3SE +/- 0.28, N = 3SE +/- 0.04, N = 3151.14151.51151.24
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-Only123306090120150Min: 150.94 / Avg: 151.14 / Max: 151.42Min: 150.95 / Avg: 151.51 / Max: 151.84Min: 151.17 / Avg: 151.24 / Max: 151.31

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-Only123100200300400500SE +/- 0.93, N = 3SE +/- 0.31, N = 3SE +/- 0.76, N = 3451.27452.25451.81
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-Only12380160240320400Min: 449.76 / Avg: 451.27 / Max: 452.95Min: 451.64 / Avg: 452.25 / Max: 452.62Min: 450.34 / Avg: 451.81 / Max: 452.86

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-Only12350100150200250SE +/- 0.17, N = 3SE +/- 0.27, N = 3SE +/- 0.06, N = 3208.93209.39209.24
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-Only1234080120160200Min: 208.6 / Avg: 208.93 / Max: 209.17Min: 209 / Avg: 209.39 / Max: 209.92Min: 209.12 / Avg: 209.24 / Max: 209.32

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-Only123130260390520650SE +/- 0.50, N = 3SE +/- 0.34, N = 3SE +/- 0.33, N = 3605.44605.36605.01
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-Only123110220330440550Min: 604.47 / Avg: 605.44 / Max: 606.14Min: 604.96 / Avg: 605.36 / Max: 606.04Min: 604.37 / Avg: 605.01 / Max: 605.5

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-Only123110220330440550SE +/- 0.34, N = 3SE +/- 0.39, N = 3SE +/- 0.19, N = 3509.61508.87508.79
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-Only12390180270360450Min: 508.93 / Avg: 509.61 / Max: 509.96Min: 508.25 / Avg: 508.87 / Max: 509.6Min: 508.41 / Avg: 508.79 / Max: 509.02

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: go12350100150200250SE +/- 0.67, N = 3213213213
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: go1234080120160200Min: 212 / Avg: 212.67 / Max: 214

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to312370140210280350SE +/- 0.67, N = 3SE +/- 1.33, N = 3302300304
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to312350100150200250Min: 301 / Avg: 301.67 / Max: 303Min: 301 / Avg: 303.67 / Max: 305

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos12320406080100SE +/- 0.12, N = 3SE +/- 1.12, N = 3SE +/- 0.09, N = 395.997.195.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos12320406080100Min: 95.7 / Avg: 95.87 / Max: 96.1Min: 95.8 / Avg: 97.07 / Max: 99.3Min: 95.8 / Avg: 95.93 / Max: 96.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float12320406080100SE +/- 0.30, N = 3SE +/- 0.07, N = 3SE +/- 0.41, N = 394.695.194.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float12320406080100Min: 94 / Avg: 94.6 / Max: 94.9Min: 95 / Avg: 95.07 / Max: 95.2Min: 94 / Avg: 94.73 / Max: 95.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody12320406080100SE +/- 0.88, N = 3SE +/- 1.00, N = 3SE +/- 1.20, N = 3102102104
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody12320406080100Min: 101 / Avg: 102.33 / Max: 104Min: 101 / Avg: 102 / Max: 104Min: 102 / Avg: 103.67 / Max: 106

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib12348121620SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 317.817.817.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib123510152025Min: 17.8 / Avg: 17.8 / Max: 17.8Min: 17.6 / Avg: 17.77 / Max: 17.9Min: 17.7 / Avg: 17.77 / Max: 17.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace12390180270360450SE +/- 0.67, N = 3408408408
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace12370140210280350Min: 407 / Avg: 407.67 / Max: 409

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads123612182430SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 323.823.623.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads123612182430Min: 23.6 / Avg: 23.77 / Max: 23.9Min: 23.5 / Avg: 23.63 / Max: 23.7Min: 23.8 / Avg: 23.9 / Max: 24

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes12320406080100SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 397.797.697.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes12320406080100Min: 97.4 / Avg: 97.67 / Max: 97.8Min: 97.4 / Avg: 97.57 / Max: 97.8Min: 97.7 / Avg: 97.9 / Max: 98

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile123306090120150SE +/- 0.58, N = 3SE +/- 0.33, N = 3154154154
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile123306090120150Min: 153 / Avg: 154 / Max: 155Min: 153 / Avg: 153.67 / Max: 154

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup1233691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 310.510.510.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup1233691215Min: 10.4 / Avg: 10.47 / Max: 10.5Min: 10.4 / Avg: 10.47 / Max: 10.5Min: 10.5 / Avg: 10.53 / Max: 10.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template1231122334455SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 346.947.047.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template1231020304050Min: 46.8 / Avg: 46.93 / Max: 47.1Min: 46.9 / Avg: 47 / Max: 47.1Min: 46.9 / Avg: 46.97 / Max: 47

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_python12390180270360450SE +/- 2.40, N = 3SE +/- 0.67, N = 3403400403
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_python12370140210280350Min: 397 / Avg: 400.33 / Max: 405Min: 402 / Avg: 402.67 / Max: 404

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: FLOAT12390M180M270M360M450MSE +/- 393118.30, N = 3SE +/- 325962.67, N = 3SE +/- 645266.62, N = 3430439779.89429449066.36428315485.281. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12370M140M210M280M350MMin: 429654049.97 / Avg: 430439779.89 / Max: 430857085.8Min: 428806891.72 / Avg: 429449066.36 / Max: 429867435.64Min: 427449845.58 / Avg: 428315485.28 / Max: 429577224.891. (CC) gcc options: -O3 -march=native -lm

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPU123510152025SE +/- 0.17, N = 10SE +/- 0.28, N = 3SE +/- 0.25, N = 318.417.818.3
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPU123510152025Min: 17.3 / Avg: 18.4 / Max: 19.1Min: 17.5 / Avg: 17.83 / Max: 18.4Min: 17.8 / Avg: 18.3 / Max: 18.6

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 Commands1231122334455SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 350.9450.9750.911. git version 2.20.1
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git Commands1231020304050Min: 50.88 / Avg: 50.94 / Max: 50.98Min: 50.87 / Avg: 50.97 / Max: 51.13Min: 50.79 / Avg: 50.91 / Max: 511. git version 2.20.1

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231224364860SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 351.4951.8151.68
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231020304050Min: 51.26 / Avg: 51.49 / Max: 51.72Min: 51.49 / Avg: 51.81 / Max: 51.98Min: 51.54 / Avg: 51.68 / Max: 51.79

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231020304050SE +/- 0.11, N = 3SE +/- 0.32, N = 14SE +/- 0.30, N = 343.0243.2243.12
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda123918273645Min: 42.83 / Avg: 43.02 / Max: 43.21Min: 42.58 / Avg: 43.22 / Max: 47.27Min: 42.59 / Avg: 43.12 / Max: 43.64

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm12348121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 315.1615.1415.14
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm12348121620Min: 15.14 / Avg: 15.16 / Max: 15.17Min: 15.13 / Avg: 15.14 / Max: 15.15Min: 15.12 / Avg: 15.14 / Max: 15.17

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1230.541.081.622.162.7SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.372.362.40
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression123246810Min: 2.37 / Avg: 2.37 / Max: 2.38Min: 2.33 / Avg: 2.36 / Max: 2.39Min: 2.37 / Avg: 2.4 / Max: 2.41

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 4.0.0Time To OCR 7 Images123612182430SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 326.6426.7026.63
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.0.0Time To OCR 7 Images123612182430Min: 26.56 / Avg: 26.64 / Max: 26.68Min: 26.42 / Avg: 26.69 / Max: 26.84Min: 26.6 / Avg: 26.63 / Max: 26.66

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 1.2.41600K1200K1800K2400K3000KSE +/- 49600.17, N = 929140521. (CXX) g++ options: -O3 -fopenmp

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 Metric12330K60K90K120K150K1238551230191227971. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1239001800270036004500SE +/- 129.03, N = 15SE +/- 128.33, N = 12SE +/- 67.44, N = 124393426743011. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1238001600240032004000Min: 3448 / Avg: 4393.27 / Max: 5157Min: 3475 / Avg: 4266.75 / Max: 4984Min: 3927 / Avg: 4300.92 / Max: 46381. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123300K600K900K1200K1500KSE +/- 1855.52, N = 3SE +/- 5496.75, N = 3SE +/- 2799.34, N = 31201483.21194436.41201966.8
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1198489.9 / Avg: 1201483.23 / Max: 1204879.6Min: 1183557.8 / Avg: 1194436.43 / Max: 1201248.4Min: 1198179.7 / Avg: 1201966.8 / Max: 1207431.4

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123612182430SE +/- 0.11, N = 3SE +/- 0.33, N = 13SE +/- 0.01, N = 326.7827.0826.611. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123612182430Min: 26.56 / Avg: 26.78 / Max: 26.89Min: 26.58 / Avg: 27.08 / Max: 30.99Min: 26.59 / Avg: 26.61 / Max: 26.621. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

170 Results Shown

C-Blosc
Rodinia:
  OpenMP LavaMD
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
NAMD
Algebraic Multi-Grid Benchmark
Timed HMMer Search
Timed MAFFT Alignment
LAMMPS Molecular Dynamics Simulator:
  20k Atoms
  Rhodopsin Protein
LULESH
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
Java Gradle Build
DaCapo Benchmark:
  H2
  Jython
  Tradesoap
  Tradebeans
Renaissance:
  Scala Dotty
  Rand Forest
  Apache Spark ALS
  Apache Spark Bayes
  Savina Reactors.IO
  Apache Spark PageRank
  Twitter HTTP Requests
  In-Memory Database Shootout
  Akka Unbalanced Cobwebbed Tree
  Genetic Algorithm Using Jenetics + Futures
BYTE Unix Benchmark
Zstd Compression:
  3
  19
LibRaw
oneDNN:
  IP Batch 1D - f32 - CPU
  IP Batch All - f32 - CPU
  IP Batch 1D - u8s8f32 - CPU
  IP Batch All - u8s8f32 - CPU
  IP Batch 1D - bf16bf16bf16 - CPU
  IP Batch All - bf16bf16bf16 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  Deconvolution Batch deconv_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  Deconvolution Batch deconv_1d - bf16bf16bf16 - CPU
  Deconvolution Batch deconv_3d - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
AOM AV1:
  Speed 0 Two-Pass
  Speed 4 Two-Pass
  Speed 6 Realtime
  Speed 6 Two-Pass
  Speed 8 Realtime
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
SVT-AV1:
  Enc Mode 0 - 1080p
  Enc Mode 4 - 1080p
  Enc Mode 8 - 1080p
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
Intel Open Image Denoise
OpenVKL:
  vklBenchmark
  vklBenchmarkStructuredVolume
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
libavif avifenc:
  0
  2
  8
  10
Timed Apache Compilation
Timed Linux Kernel Compilation
Timed LLVM Compilation
YafaRay
eSpeak-NG Speech Engine
KeyDB
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
Basis Universal:
  ETC1S
  UASTC Level 0
  UASTC Level 2
  UASTC Level 3
  UASTC Level 2 + RDO Post-Processing
G'MIC:
  2D Function Plotting, 1000 Times
  Plotting Isosurface Of A 3D Volume, 1000 Times
  3D Elevated Function In Rand Colors, 100 Times
Hugin
OCRMyPDF
GNU Octave Benchmark
RawTherapee
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  AlexNet - CPU - 1000
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
  GoogleNet - CPU - 1000
GPAW
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - squeezenet
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
Hierarchical INTegration
NeatBench
Git
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression
Tesseract OCR
Kripke
BRL-CAD
OpenCV
InfluxDB
RNNoise