Core i9 10980XE Ryzen 9 3990X - Pop OS Skylake Opt Benchmark

Benchmarks by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2007151-NE-2007118NE34
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July 11 2020
  5 Hours, 46 Minutes
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  5 Hours, 21 Minutes
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July 15 2020
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Core i9 10980XE Ryzen 9 3990X - Pop OS Skylake Opt BenchmarkOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)System76 Thelio Major (F4c Z5 BIOS)AMD Starship/Matisse126GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioLG Ultra HDIntel I211 + Intel Wi-Fi 6 AX200Pop 20.045.4.0-7634-generic (x86_64)GNOME Shell 3.36.3X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCore I9 10980XE Ryzen 9 3990X - Pop OS Skylake Opt Benchmark PerformanceSystem Logs- snd_usb_audio.ignore_ctl_error=1- Default: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Optimized: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-arch=skylake --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Optimized Round 2: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-arch=skylake --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=skylake --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025- Python 2.7.18rc1 + Python 3.8.2- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + tsx_async_abort: Not affected

DefaultOptimizedOptimized Round 2Result OverviewPhoronix Test Suite100%107%115%122%Himeno BenchmarkRedisdav1dglibc benchSVT-AV1Darmstadt Automotive Parallel Heterogeneous SuiteLAMMPS Molecular Dynamics SimulatorTimed MrBayes AnalysisYafaRayCoremarkBRL-CADRodiniaSQLite SpeedtestMlpack BenchmarkPOV-RayCython benchmarkACES DGEMMAOM AV1Numpy BenchmarkHuginPyPerformanceScikit-LearnGROMACSPyBenchPlaidMLStockfishNumenta Anomaly BenchmarkOCRMyPDFAI Benchmark AlphaNAS Parallel BenchmarksMontage Astronomical Image Mosaic EngineJohn The RipperZstd CompressionHigh Performance Conjugate GradientCloverLeaf

Core i9 10980XE Ryzen 9 3990X - Pop OS Skylake Opt Benchmarkhpcg: npb: BT.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: LU.Cnpb: MG.Cnpb: SP.Bcloverleaf: Lagrangian-Eulerian Hydrodynamicsrodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclustermrbayes: Primate Phylogeny Analysislammps: Rhodopsin Proteincompress-zstd: 3compress-zstd: 19john-the-ripper: Blowfishjohn-the-ripper: MD5dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimesvt-av1: Enc Mode 0 - 1080psvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 8 - 1080pmt-dgemm: Sustained Floating-Point Ratecoremark: CoreMark Size 666 - Iterations Per Secondhimeno: Poisson Pressure Solverstockfish: Total Timepovray: Trace Timeyafaray: Total Time For Sample Scenenumpy: cython-bench: montage: Mosaic of M17, K band, 1.5 deg x 1.5 degglibc-bench: cosglibc-bench: expglibc-bench: ffsglibc-bench: singlibc-bench: log2glibc-bench: modfglibc-bench: sinhglibc-bench: sqrtglibc-bench: tanhglibc-bench: asinhglibc-bench: atanhglibc-bench: ffsllglibc-bench: sincosglibc-bench: pthread_oncegromacs: Water Benchmarkdaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagedaphne: OpenMP - Euclidean Clustersqlite-speedtest: Timed Time - Size 1,000hugin: Panorama Photo Assistant + Stitching Timeocrmypdf: Processing 60 Page PDF Documentredis: GETredis: SETplaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - VGG19 - CPUplaidml: No - Inference - IMDB LSTM - CPUplaidml: No - Inference - Mobilenet - CPUplaidml: No - Inference - ResNet 50 - CPUplaidml: No - Inference - DenseNet 201 - CPUplaidml: No - Inference - Inception V3 - CPUpybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonnumenta-nab: EXPoSEnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoremlpack: scikit_svmscikit-learn: brl-cad: VGR Performance MetricDefaultOptimizedOptimized Round 29.0497967739.784818.154999.4328563.0265289.0126534.1447235.720.4043.74186.85539.8556.7058.11993.72723.6247205.882.2887835125333882.23379.97873.54169.372.5318.053.934.500.1289.59897.10017.1735162332502.5047744076.6294691541466529.05054.042373.1740.69274.19742.91505.189622.0238342.56005.956322.027947.806092.2512510.77968.7761610.27081.7897812.36681.786413.890968.1221228.8532857341183.6863.86845.48614.8162704398.121926576.2837.5631.47821.0214.706.283.4411.1593123529910410910416.444522.8100.015912.246.443432.26912.9596.21370.96025.76819321197312920.68107.5638169349.0525367707.344894.035027.8328564.5965560.8426530.5647137.990.4041.05286.13839.7476.6378.01996.30624.3297163.382.4888945113000857.09375.64881.35206.682.5118.233.8935.620.139.87698.23117.4258232352886.8130373508.0981791534285689.05154.986375.8340.76174.17142.94975.185521.7926242.46254.055862.028177.561522.2763210.90988.377989.923252.0244111.65461.789533.853915.0421080.5249161181168.8665.08346.02114.8652774720.921879274.3737.2131.96819.4214.986.313.4411.0693023529910510110516.744422.61011581244.541432.48613.1676.05971.61825.86119231197312020.63106.7398175299.0620667722.734894.095002.3228571.4765583.5326578.2947122.150.4042.11385.32040.1276.5758.18894.68924.2477135.082.8885765116333857.65377.33885.22206.942.5618.203.9435.400.1349.966100.85517.2694932383854.7961404534.7315081546440189.20353.648378.3240.14373.98343.16595.207602.0241342.93664.137862.027297.462342.2533010.75398.101739.538281.7896411.52691.790883.889967.7021047.5776221721089.0264.00545.58414.7812977648.441942514.9437.2932.46822.0314.956.293.4611.2293823530010510210716.744422.510215812.344.441432.76713.2776.09572.06925.78519381200313821.01106.512834120OpenBenchmarking.org

High Performance Conjugate Gradient

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

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1DefaultOptimizedOptimized Round 23691215SE +/- 0.00135, N = 3SE +/- 0.00205, N = 3SE +/- 0.00356, N = 39.049799.052539.062061. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1DefaultOptimizedOptimized Round 23691215Min: 9.05 / Avg: 9.05 / Max: 9.05Min: 9.05 / Avg: 9.05 / Max: 9.06Min: 9.06 / Avg: 9.06 / Max: 9.071. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CDefaultOptimizedOptimized Round 215K30K45K60K75KSE +/- 25.73, N = 3SE +/- 21.90, N = 3SE +/- 15.08, N = 367739.7867707.3467722.731. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CDefaultOptimizedOptimized Round 212K24K36K48K60KMin: 67688.33 / Avg: 67739.78 / Max: 67766.4Min: 67667.33 / Avg: 67707.34 / Max: 67742.8Min: 67692.56 / Avg: 67722.73 / Max: 67737.961. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CDefaultOptimizedOptimized Round 210002000300040005000SE +/- 21.84, N = 3SE +/- 31.84, N = 3SE +/- 43.01, N = 34818.154894.034894.091. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CDefaultOptimizedOptimized Round 29001800270036004500Min: 4780.51 / Avg: 4818.15 / Max: 4856.16Min: 4845.67 / Avg: 4894.03 / Max: 4954.09Min: 4837.97 / Avg: 4894.09 / Max: 4978.611. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DDefaultOptimizedOptimized Round 211002200330044005500SE +/- 7.97, N = 3SE +/- 9.51, N = 3SE +/- 14.13, N = 34999.435027.835002.321. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DDefaultOptimizedOptimized Round 29001800270036004500Min: 4987.57 / Avg: 4999.43 / Max: 5014.59Min: 5010.97 / Avg: 5027.83 / Max: 5043.89Min: 4986.64 / Avg: 5002.32 / Max: 5030.511. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CDefaultOptimizedOptimized Round 26K12K18K24K30KSE +/- 7.08, N = 3SE +/- 13.18, N = 3SE +/- 9.61, N = 328563.0228564.5928571.471. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CDefaultOptimizedOptimized Round 25K10K15K20K25KMin: 28549.11 / Avg: 28563.02 / Max: 28572.23Min: 28538.33 / Avg: 28564.59 / Max: 28579.63Min: 28553.23 / Avg: 28571.47 / Max: 28585.831. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CDefaultOptimizedOptimized Round 214K28K42K56K70KSE +/- 52.68, N = 3SE +/- 7.16, N = 3SE +/- 26.57, N = 365289.0165560.8465583.531. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CDefaultOptimizedOptimized Round 211K22K33K44K55KMin: 65191.21 / Avg: 65289.01 / Max: 65371.85Min: 65549.24 / Avg: 65560.84 / Max: 65573.91Min: 65534.15 / Avg: 65583.53 / Max: 65625.221. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CDefaultOptimizedOptimized Round 26K12K18K24K30KSE +/- 40.15, N = 3SE +/- 10.23, N = 3SE +/- 7.88, N = 326534.1426530.5626578.291. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CDefaultOptimizedOptimized Round 25K10K15K20K25KMin: 26469.3 / Avg: 26534.14 / Max: 26607.57Min: 26512.24 / Avg: 26530.56 / Max: 26547.59Min: 26563.65 / Avg: 26578.29 / Max: 26590.671. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BDefaultOptimizedOptimized Round 210K20K30K40K50KSE +/- 25.58, N = 3SE +/- 317.18, N = 3SE +/- 153.42, N = 347235.7247137.9947122.151. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BDefaultOptimizedOptimized Round 28K16K24K32K40KMin: 47193.75 / Avg: 47235.72 / Max: 47282.04Min: 46535.24 / Avg: 47137.99 / Max: 47610.65Min: 46829.37 / Avg: 47122.15 / Max: 47348.051. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm8192.in input file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsDefaultOptimizedOptimized Round 20.090.180.270.360.45SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.400.400.401. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsDefaultOptimizedOptimized Round 212345Min: 0.4 / Avg: 0.4 / Max: 0.41Min: 0.39 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.411. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 LavaMDDefaultOptimizedOptimized Round 21020304050SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.50, N = 543.7441.0542.111. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDDefaultOptimizedOptimized Round 2918273645Min: 43.34 / Avg: 43.74 / Max: 43.98Min: 40.82 / Avg: 41.05 / Max: 41.23Min: 41.29 / Avg: 42.11 / Max: 44.061. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DDefaultOptimizedOptimized Round 220406080100SE +/- 1.02, N = 6SE +/- 0.50, N = 3SE +/- 0.67, N = 386.8686.1485.321. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DDefaultOptimizedOptimized Round 21632486480Min: 84.68 / Avg: 86.85 / Max: 91.58Min: 85.15 / Avg: 86.14 / Max: 86.78Min: 84.62 / Avg: 85.32 / Max: 86.651. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteDefaultOptimizedOptimized Round 2918273645SE +/- 0.23, N = 3SE +/- 0.51, N = 3SE +/- 0.23, N = 339.8639.7540.131. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteDefaultOptimizedOptimized Round 2816243240Min: 39.45 / Avg: 39.86 / Max: 40.23Min: 38.73 / Avg: 39.75 / Max: 40.32Min: 39.74 / Avg: 40.13 / Max: 40.521. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverDefaultOptimizedOptimized Round 2246810SE +/- 0.095, N = 4SE +/- 0.060, N = 3SE +/- 0.026, N = 36.7056.6376.5751. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverDefaultOptimizedOptimized Round 23691215Min: 6.53 / Avg: 6.71 / Max: 6.95Min: 6.52 / Avg: 6.64 / Max: 6.72Min: 6.53 / Avg: 6.57 / Max: 6.621. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterDefaultOptimizedOptimized Round 2246810SE +/- 0.020, N = 3SE +/- 0.032, N = 3SE +/- 0.031, N = 38.1198.0198.1881. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterDefaultOptimizedOptimized Round 23691215Min: 8.08 / Avg: 8.12 / Max: 8.14Min: 7.96 / Avg: 8.02 / Max: 8.07Min: 8.14 / Avg: 8.19 / Max: 8.241. (CXX) g++ options: -O2 -lOpenCL

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisDefaultOptimizedOptimized Round 220406080100SE +/- 0.32, N = 3SE +/- 0.77, N = 3SE +/- 0.96, N = 393.7396.3194.691. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisDefaultOptimizedOptimized Round 220406080100Min: 93.1 / Avg: 93.73 / Max: 94.16Min: 94.93 / Avg: 96.31 / Max: 97.58Min: 93.25 / Avg: 94.69 / Max: 96.51. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm

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 9Jan2020Model: Rhodopsin ProteinDefaultOptimizedOptimized Round 2612182430SE +/- 0.13, N = 3SE +/- 0.41, N = 3SE +/- 0.19, N = 323.6224.3324.251. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Model: Rhodopsin ProteinDefaultOptimizedOptimized Round 2612182430Min: 23.44 / Avg: 23.62 / Max: 23.88Min: 23.7 / Avg: 24.33 / Max: 25.1Min: 23.9 / Avg: 24.25 / Max: 24.571. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm

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: 3DefaultOptimizedOptimized Round 215003000450060007500SE +/- 44.91, N = 3SE +/- 4.71, N = 3SE +/- 60.74, N = 37205.87163.37135.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3DefaultOptimizedOptimized Round 213002600390052006500Min: 7150.8 / Avg: 7205.8 / Max: 7294.8Min: 7157.8 / Avg: 7163.33 / Max: 7172.7Min: 7036.3 / Avg: 7135.03 / Max: 7245.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19DefaultOptimizedOptimized Round 220406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 382.282.482.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19DefaultOptimizedOptimized Round 21632486480Min: 82.1 / Avg: 82.17 / Max: 82.2Min: 82.4 / Avg: 82.43 / Max: 82.5Min: 82.5 / Avg: 82.8 / Max: 831. (CC) gcc options: -O3 -pthread -lz -llzma

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishDefaultOptimizedOptimized Round 220K40K60K80K100KSE +/- 387.67, N = 3SE +/- 396.97, N = 3SE +/- 371.83, N = 38878388894885761. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishDefaultOptimizedOptimized Round 215K30K45K60K75KMin: 88290 / Avg: 88783.33 / Max: 89548Min: 88367 / Avg: 88894.33 / Max: 89672Min: 88166 / Avg: 88575.67 / Max: 893181. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5DefaultOptimizedOptimized Round 21.1M2.2M3.3M4.4M5.5MSE +/- 28386.23, N = 3SE +/- 28827.07, N = 3SE +/- 27180.47, N = 35125333511300051163331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5DefaultOptimizedOptimized Round 2900K1800K2700K3600K4500KMin: 5094000 / Avg: 5125333.33 / Max: 5182000Min: 5077000 / Avg: 5113000 / Max: 5170000Min: 5082000 / Avg: 5116333.33 / Max: 51700001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt

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 1080pDefaultOptimizedOptimized Round 22004006008001000SE +/- 2.94, N = 3SE +/- 2.15, N = 3SE +/- 3.55, N = 3882.23857.09857.65MIN: 487.91 / MAX: 1141.18MIN: 480.14 / MAX: 1093.45MIN: 454.83 / MAX: 1098.811. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pDefaultOptimizedOptimized Round 2150300450600750Min: 876.9 / Avg: 882.23 / Max: 887.04Min: 854.34 / Avg: 857.09 / Max: 861.34Min: 850.88 / Avg: 857.65 / Max: 862.921. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KDefaultOptimizedOptimized Round 280160240320400SE +/- 0.42, N = 3SE +/- 1.89, N = 3SE +/- 0.88, N = 3379.97375.64377.33MIN: 147.77 / MAX: 417.62MIN: 139.22 / MAX: 417.31MIN: 142.61 / MAX: 4161. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KDefaultOptimizedOptimized Round 270140210280350Min: 379.13 / Avg: 379.97 / Max: 380.46Min: 373.14 / Avg: 375.64 / Max: 379.34Min: 375.59 / Avg: 377.33 / Max: 378.361. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pDefaultOptimizedOptimized Round 22004006008001000SE +/- 5.28, N = 3SE +/- 0.73, N = 3SE +/- 1.39, N = 3873.54881.35885.22MIN: 263.8 / MAX: 1009.6MIN: 290.02 / MAX: 1005.96MIN: 286.93 / MAX: 1010.661. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pDefaultOptimizedOptimized Round 2160320480640800Min: 865.33 / Avg: 873.54 / Max: 883.41Min: 879.9 / Avg: 881.35 / Max: 882.2Min: 882.6 / Avg: 885.22 / Max: 887.31. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitDefaultOptimizedOptimized Round 250100150200250SE +/- 0.19, N = 3SE +/- 0.53, N = 3SE +/- 0.48, N = 3169.37206.68206.94MIN: 121.34 / MAX: 268.39MIN: 146.94 / MAX: 330.56MIN: 147.43 / MAX: 330.51. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitDefaultOptimizedOptimized Round 24080120160200Min: 169.01 / Avg: 169.37 / Max: 169.68Min: 205.62 / Avg: 206.68 / Max: 207.23Min: 206.25 / Avg: 206.94 / Max: 207.871. (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 4 Two-PassDefaultOptimizedOptimized Round 20.5761.1521.7282.3042.88SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.532.512.561. (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-PassDefaultOptimizedOptimized Round 2246810Min: 2.53 / Avg: 2.53 / Max: 2.53Min: 2.51 / Avg: 2.51 / Max: 2.51Min: 2.55 / Avg: 2.56 / Max: 2.571. (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 RealtimeDefaultOptimizedOptimized Round 248121620SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 318.0518.2318.201. (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 RealtimeDefaultOptimizedOptimized Round 2510152025Min: 17.86 / Avg: 18.05 / Max: 18.16Min: 18.14 / Avg: 18.23 / Max: 18.32Min: 18.15 / Avg: 18.2 / Max: 18.281. (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-PassDefaultOptimizedOptimized Round 20.88651.7732.65953.5464.4325SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.903.893.941. (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-PassDefaultOptimizedOptimized Round 2246810Min: 3.9 / Avg: 3.9 / Max: 3.9Min: 3.89 / Avg: 3.89 / Max: 3.89Min: 3.94 / Avg: 3.94 / Max: 3.951. (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 RealtimeDefaultOptimizedOptimized Round 2816243240SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 334.5035.6235.401. (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 RealtimeDefaultOptimizedOptimized Round 2816243240Min: 34.4 / Avg: 34.5 / Max: 34.55Min: 35.51 / Avg: 35.62 / Max: 35.74Min: 35.31 / Avg: 35.4 / Max: 35.491. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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: 1080pDefaultOptimizedOptimized Round 20.03020.06040.09060.12080.151SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1280.1300.1341. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pDefaultOptimizedOptimized Round 212345Min: 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: 1080pDefaultOptimizedOptimized Round 23691215SE +/- 0.062, N = 3SE +/- 0.028, N = 3SE +/- 0.068, N = 39.5989.8769.9661. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pDefaultOptimizedOptimized Round 23691215Min: 9.51 / Avg: 9.6 / Max: 9.72Min: 9.83 / Avg: 9.88 / Max: 9.93Min: 9.83 / Avg: 9.97 / Max: 10.041. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pDefaultOptimizedOptimized Round 220406080100SE +/- 0.35, N = 3SE +/- 0.22, N = 3SE +/- 0.48, N = 397.1098.23100.861. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pDefaultOptimizedOptimized Round 220406080100Min: 96.44 / Avg: 97.1 / Max: 97.62Min: 97.83 / Avg: 98.23 / Max: 98.58Min: 99.91 / Avg: 100.86 / Max: 101.361. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateDefaultOptimizedOptimized Round 248121620SE +/- 0.24, N = 15SE +/- 0.15, N = 15SE +/- 0.21, N = 517.1717.4317.271. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateDefaultOptimizedOptimized Round 248121620Min: 15.76 / Avg: 17.17 / Max: 18.38Min: 16.15 / Avg: 17.43 / Max: 18.25Min: 16.53 / Avg: 17.27 / Max: 17.71. (CC) gcc options: -O3 -march=native -fopenmp

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondDefaultOptimizedOptimized Round 2500K1000K1500K2000K2500KSE +/- 16958.53, N = 3SE +/- 4570.17, N = 3SE +/- 32870.25, N = 42332502.502352886.812383854.801. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondDefaultOptimizedOptimized Round 2400K800K1200K1600K2000KMin: 2301330.46 / Avg: 2332502.5 / Max: 2359664.49Min: 2347331.74 / Avg: 2352886.81 / Max: 2361950.45Min: 2345718.61 / Avg: 2383854.8 / Max: 2482303.891. (CC) gcc options: -O2 -lrt" -lrt

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverDefaultOptimizedOptimized Round 210002000300040005000SE +/- 34.51, N = 15SE +/- 47.31, N = 3SE +/- 12.48, N = 34076.633508.104534.731. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverDefaultOptimizedOptimized Round 28001600240032004000Min: 3811.66 / Avg: 4076.63 / Max: 4245.9Min: 3447.63 / Avg: 3508.1 / Max: 3601.37Min: 4512.28 / Avg: 4534.73 / Max: 4555.391. (CC) gcc options: -O3 -mavx2

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeDefaultOptimizedOptimized Round 230M60M90M120M150MSE +/- 860075.69, N = 3SE +/- 793489.01, N = 3SE +/- 945939.33, N = 31541466521534285681546440181. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeDefaultOptimizedOptimized Round 230M60M90M120M150MMin: 152589676 / Avg: 154146651.67 / Max: 155558433Min: 151843910 / Avg: 153428568.33 / Max: 154295180Min: 153432642 / Avg: 154644018 / Max: 1565082091. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeDefaultOptimizedOptimized Round 23691215SE +/- 0.065, N = 3SE +/- 0.043, N = 3SE +/- 0.055, N = 39.0509.0519.2031. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeDefaultOptimizedOptimized Round 23691215Min: 8.98 / Avg: 9.05 / Max: 9.18Min: 9 / Avg: 9.05 / Max: 9.14Min: 9.12 / Avg: 9.2 / Max: 9.311. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

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 SceneDefaultOptimizedOptimized Round 21224364860SE +/- 0.61, N = 15SE +/- 0.56, N = 3SE +/- 0.33, N = 354.0454.9953.651. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneDefaultOptimizedOptimized Round 21122334455Min: 51.13 / Avg: 54.04 / Max: 57.04Min: 53.87 / Avg: 54.99 / Max: 55.55Min: 53.18 / Avg: 53.65 / Max: 54.281. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkDefaultOptimizedOptimized Round 280160240320400SE +/- 0.91, N = 3SE +/- 0.40, N = 3SE +/- 0.79, N = 3373.17375.83378.32
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkDefaultOptimizedOptimized Round 270140210280350Min: 372.18 / Avg: 373.17 / Max: 374.99Min: 375.06 / Avg: 375.83 / Max: 376.36Min: 376.84 / Avg: 378.32 / Max: 379.56

Cython benchmark

Stress benchmark tests to measure time consumed by cython code Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCython benchmark 0.27DefaultOptimizedOptimized Round 2918273645SE +/- 0.07, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 340.6940.7640.14
OpenBenchmarking.orgSeconds, Fewer Is BetterCython benchmark 0.27DefaultOptimizedOptimized Round 2816243240Min: 40.57 / Avg: 40.69 / Max: 40.81Min: 40.42 / Avg: 40.76 / Max: 41.38Min: 40.02 / Avg: 40.14 / Max: 40.37

Montage Astronomical Image Mosaic Engine

Montage is an open-source astronomical image mosaic engine. This BSD-licensed astronomy software is developed by the California Institute of Technology, Pasadena. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degDefaultOptimizedOptimized Round 21632486480SE +/- 0.13, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 374.2074.1773.981. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degDefaultOptimizedOptimized Round 21428425670Min: 74.03 / Avg: 74.2 / Max: 74.44Min: 73.81 / Avg: 74.17 / Max: 74.47Min: 73.69 / Avg: 73.98 / Max: 74.291. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: cosDefaultOptimizedOptimized Round 21020304050SE +/- 0.01, N = 3SE +/- 0.28, N = 3SE +/- 0.07, N = 342.9242.9543.17
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: cosDefaultOptimizedOptimized Round 2918273645Min: 42.9 / Avg: 42.91 / Max: 42.94Min: 42.39 / Avg: 42.95 / Max: 43.26Min: 43.03 / Avg: 43.17 / Max: 43.24

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: expDefaultOptimizedOptimized Round 21.17172.34343.51514.68685.8585SE +/- 0.00032, N = 3SE +/- 0.02078, N = 3SE +/- 0.08351, N = 35.189625.185525.20760
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: expDefaultOptimizedOptimized Round 2246810Min: 5.19 / Avg: 5.19 / Max: 5.19Min: 5.16 / Avg: 5.19 / Max: 5.23Min: 5.04 / Avg: 5.21 / Max: 5.31

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsDefaultOptimizedOptimized Round 20.45540.91081.36621.82162.277SE +/- 0.00032, N = 3SE +/- 0.00136, N = 3SE +/- 0.00074, N = 32.023831.792622.02413
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsDefaultOptimizedOptimized Round 2246810Min: 2.02 / Avg: 2.02 / Max: 2.02Min: 1.79 / Avg: 1.79 / Max: 1.79Min: 2.02 / Avg: 2.02 / Max: 2.03

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinDefaultOptimizedOptimized Round 21020304050SE +/- 0.01, N = 3SE +/- 0.33, N = 3SE +/- 0.01, N = 342.5642.4642.94
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinDefaultOptimizedOptimized Round 2918273645Min: 42.54 / Avg: 42.56 / Max: 42.57Min: 41.95 / Avg: 42.46 / Max: 43.07Min: 42.92 / Avg: 42.94 / Max: 42.95

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: log2DefaultOptimizedOptimized Round 21.34022.68044.02065.36086.701SE +/- 0.01640, N = 3SE +/- 0.00364, N = 3SE +/- 0.00287, N = 35.956324.055864.13786
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: log2DefaultOptimizedOptimized Round 2246810Min: 5.94 / Avg: 5.96 / Max: 5.99Min: 4.05 / Avg: 4.06 / Max: 4.06Min: 4.13 / Avg: 4.14 / Max: 4.14

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: modfDefaultOptimizedOptimized Round 20.45630.91261.36891.82522.2815SE +/- 0.00054, N = 3SE +/- 0.00065, N = 3SE +/- 0.00349, N = 32.027942.028172.02729
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: modfDefaultOptimizedOptimized Round 2246810Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 2.02 / Avg: 2.03 / Max: 2.03

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinhDefaultOptimizedOptimized Round 2246810SE +/- 0.00239, N = 3SE +/- 0.00451, N = 3SE +/- 0.04836, N = 37.806097.561527.46234
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinhDefaultOptimizedOptimized Round 23691215Min: 7.8 / Avg: 7.81 / Max: 7.81Min: 7.56 / Avg: 7.56 / Max: 7.57Min: 7.37 / Avg: 7.46 / Max: 7.52

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sqrtDefaultOptimizedOptimized Round 20.51221.02441.53662.04882.561SE +/- 0.00090, N = 3SE +/- 0.01708, N = 13SE +/- 0.00370, N = 32.251252.276322.25330
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sqrtDefaultOptimizedOptimized Round 2246810Min: 2.25 / Avg: 2.25 / Max: 2.25Min: 2.25 / Avg: 2.28 / Max: 2.48Min: 2.25 / Avg: 2.25 / Max: 2.26

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: tanhDefaultOptimizedOptimized Round 23691215SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 310.7810.9110.75
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: tanhDefaultOptimizedOptimized Round 23691215Min: 10.77 / Avg: 10.78 / Max: 10.78Min: 10.68 / Avg: 10.91 / Max: 11.2Min: 10.7 / Avg: 10.75 / Max: 10.79

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: asinhDefaultOptimizedOptimized Round 2246810SE +/- 0.07902, N = 3SE +/- 0.03742, N = 3SE +/- 0.00187, N = 38.776168.377988.10173
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: asinhDefaultOptimizedOptimized Round 23691215Min: 8.66 / Avg: 8.78 / Max: 8.93Min: 8.33 / Avg: 8.38 / Max: 8.45Min: 8.1 / Avg: 8.1 / Max: 8.1

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: atanhDefaultOptimizedOptimized Round 23691215SE +/- 0.01297, N = 3SE +/- 0.06812, N = 3SE +/- 0.04337, N = 310.270809.923259.53828
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: atanhDefaultOptimizedOptimized Round 23691215Min: 10.25 / Avg: 10.27 / Max: 10.29Min: 9.79 / Avg: 9.92 / Max: 10Min: 9.49 / Avg: 9.54 / Max: 9.62

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsllDefaultOptimizedOptimized Round 20.45550.9111.36651.8222.2775SE +/- 0.00006, N = 3SE +/- 0.00238, N = 3SE +/- 0.00018, N = 31.789782.024411.78964
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsllDefaultOptimizedOptimized Round 2246810Min: 1.79 / Avg: 1.79 / Max: 1.79Min: 2.02 / Avg: 2.02 / Max: 2.03Min: 1.79 / Avg: 1.79 / Max: 1.79

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sincosDefaultOptimizedOptimized Round 23691215SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 312.3711.6511.53
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sincosDefaultOptimizedOptimized Round 248121620Min: 12.36 / Avg: 12.37 / Max: 12.37Min: 11.35 / Avg: 11.65 / Max: 11.96Min: 11.36 / Avg: 11.53 / Max: 11.74

OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: pthread_onceDefaultOptimizedOptimized Round 20.40290.80581.20871.61162.0145SE +/- 0.00153, N = 3SE +/- 0.00158, N = 3SE +/- 0.00076, N = 31.786411.789531.79088
OpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: pthread_onceDefaultOptimizedOptimized Round 2246810Min: 1.78 / Avg: 1.79 / Max: 1.79Min: 1.79 / Avg: 1.79 / Max: 1.79Min: 1.79 / Avg: 1.79 / Max: 1.79

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkDefaultOptimizedOptimized Round 20.87531.75062.62593.50124.3765SE +/- 0.066, N = 3SE +/- 0.054, N = 4SE +/- 0.062, N = 33.8903.8533.8891. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkDefaultOptimizedOptimized Round 2246810Min: 3.82 / Avg: 3.89 / Max: 4.02Min: 3.79 / Avg: 3.85 / Max: 4.01Min: 3.82 / Avg: 3.89 / Max: 4.011. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingDefaultOptimizedOptimized Round 22004006008001000SE +/- 2.68, N = 3SE +/- 4.60, N = 3SE +/- 0.83, N = 3968.12915.04967.701. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingDefaultOptimizedOptimized Round 22004006008001000Min: 965.01 / Avg: 968.12 / Max: 973.45Min: 909.19 / Avg: 915.04 / Max: 924.12Min: 966.05 / Avg: 967.7 / Max: 968.571. (CXX) g++ options: -O3 -std=c++11 -fopenmp

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageDefaultOptimizedOptimized Round 25K10K15K20K25KSE +/- 222.73, N = 3SE +/- 230.98, N = 3SE +/- 183.10, N = 321228.8521080.5221047.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageDefaultOptimizedOptimized Round 24K8K12K16K20KMin: 20791.25 / Avg: 21228.85 / Max: 21519.8Min: 20619.12 / Avg: 21080.52 / Max: 21330.83Min: 20785.77 / Avg: 21047.58 / Max: 21400.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterDefaultOptimizedOptimized Round 230060090012001500SE +/- 3.08, N = 3SE +/- 3.50, N = 3SE +/- 15.06, N = 31183.681168.861089.021. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterDefaultOptimizedOptimized Round 22004006008001000Min: 1177.69 / Avg: 1183.68 / Max: 1187.92Min: 1164.7 / Avg: 1168.86 / Max: 1175.81Min: 1058.97 / Avg: 1089.02 / Max: 1105.781. (CXX) g++ options: -O3 -std=c++11 -fopenmp

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000DefaultOptimizedOptimized Round 21530456075SE +/- 0.22, N = 3SE +/- 0.25, N = 3SE +/- 0.32, N = 363.8765.0864.011. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000DefaultOptimizedOptimized Round 21326395265Min: 63.62 / Avg: 63.87 / Max: 64.31Min: 64.6 / Avg: 65.08 / Max: 65.4Min: 63.51 / Avg: 64.01 / Max: 64.621. (CC) gcc options: -O2 -ldl -lz -lpthread

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 TimeDefaultOptimizedOptimized Round 21020304050SE +/- 0.34, N = 3SE +/- 0.48, N = 3SE +/- 0.47, N = 345.4946.0245.58
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeDefaultOptimizedOptimized Round 2918273645Min: 45.01 / Avg: 45.49 / Max: 46.16Min: 45.09 / Avg: 46.02 / Max: 46.71Min: 44.72 / Avg: 45.58 / Max: 46.36

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 9.6.0+dfsgProcessing 60 Page PDF DocumentDefaultOptimizedOptimized Round 248121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 314.8214.8714.78
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentDefaultOptimizedOptimized Round 248121620Min: 14.79 / Avg: 14.82 / Max: 14.85Min: 14.81 / Avg: 14.86 / Max: 14.92Min: 14.57 / Avg: 14.78 / Max: 14.98

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: GETDefaultOptimizedOptimized Round 2600K1200K1800K2400K3000KSE +/- 54993.70, N = 15SE +/- 50011.51, N = 15SE +/- 37976.12, N = 42704398.122774720.922977648.441. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: GETDefaultOptimizedOptimized Round 2500K1000K1500K2000K2500KMin: 2237136.5 / Avg: 2704398.12 / Max: 2932551.5Min: 2222222.25 / Avg: 2774720.92 / Max: 2932551.5Min: 2881844.25 / Avg: 2977648.44 / Max: 3067484.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SETDefaultOptimizedOptimized Round 2400K800K1200K1600K2000KSE +/- 26705.87, N = 15SE +/- 19531.99, N = 15SE +/- 23065.50, N = 61926576.281879274.371942514.941. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SETDefaultOptimizedOptimized Round 2300K600K900K1200K1500KMin: 1703577.5 / Avg: 1926576.28 / Max: 2044989.75Min: 1751313.5 / Avg: 1879274.37 / Max: 1980198Min: 1845018.5 / Avg: 1942514.94 / Max: 2012072.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUDefaultOptimizedOptimized Round 2918273645SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.51, N = 337.5637.2137.29
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUDefaultOptimizedOptimized Round 2816243240Min: 37.44 / Avg: 37.56 / Max: 37.7Min: 37.07 / Avg: 37.21 / Max: 37.39Min: 36.7 / Avg: 37.29 / Max: 38.31

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUDefaultOptimizedOptimized Round 2816243240SE +/- 0.29, N = 3SE +/- 0.29, N = 3SE +/- 0.12, N = 331.4731.9632.46
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUDefaultOptimizedOptimized Round 2714212835Min: 31.14 / Avg: 31.47 / Max: 32.05Min: 31.53 / Avg: 31.96 / Max: 32.51Min: 32.25 / Avg: 32.46 / Max: 32.68

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPUDefaultOptimizedOptimized Round 22004006008001000SE +/- 1.55, N = 3SE +/- 1.34, N = 3SE +/- 1.77, N = 3821.02819.42822.03
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPUDefaultOptimizedOptimized Round 2140280420560700Min: 817.95 / Avg: 821.02 / Max: 822.93Min: 817.71 / Avg: 819.42 / Max: 822.06Min: 819.81 / Avg: 822.03 / Max: 825.52

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUDefaultOptimizedOptimized Round 248121620SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 314.7014.9814.95
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUDefaultOptimizedOptimized Round 248121620Min: 14.63 / Avg: 14.7 / Max: 14.76Min: 14.85 / Avg: 14.98 / Max: 15.11Min: 14.83 / Avg: 14.95 / Max: 15.05

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUDefaultOptimizedOptimized Round 2246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 36.286.316.29
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUDefaultOptimizedOptimized Round 23691215Min: 6.27 / Avg: 6.28 / Max: 6.29Min: 6.28 / Avg: 6.31 / Max: 6.34Min: 6.21 / Avg: 6.29 / Max: 6.35

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUDefaultOptimizedOptimized Round 20.77851.5572.33553.1143.8925SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.443.443.46
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUDefaultOptimizedOptimized Round 2246810Min: 3.44 / Avg: 3.44 / Max: 3.45Min: 3.44 / Avg: 3.44 / Max: 3.45Min: 3.46 / Avg: 3.46 / Max: 3.46

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUDefaultOptimizedOptimized Round 23691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 311.1511.0611.22
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUDefaultOptimizedOptimized Round 23691215Min: 11.1 / Avg: 11.15 / Max: 11.21Min: 11.03 / Avg: 11.06 / Max: 11.11Min: 11.08 / Avg: 11.22 / Max: 11.29

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesDefaultOptimizedOptimized Round 22004006008001000SE +/- 2.65, N = 3SE +/- 2.19, N = 3SE +/- 4.58, N = 3931930938
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesDefaultOptimizedOptimized Round 2160320480640800Min: 926 / Avg: 931 / Max: 935Min: 927 / Avg: 929.67 / Max: 934Min: 932 / Avg: 938 / Max: 947

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: goDefaultOptimizedOptimized Round 250100150200250SE +/- 0.33, N = 3SE +/- 0.58, N = 3235235235
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goDefaultOptimizedOptimized Round 24080120160200Min: 234 / Avg: 234.67 / Max: 235Min: 234 / Avg: 235 / Max: 236

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3DefaultOptimizedOptimized Round 270140210280350299299300

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosDefaultOptimizedOptimized Round 220406080100104105105

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatDefaultOptimizedOptimized Round 220406080100SE +/- 0.33, N = 3109101102
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatDefaultOptimizedOptimized Round 220406080100Min: 108 / Avg: 108.67 / Max: 109

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyDefaultOptimizedOptimized Round 220406080100SE +/- 0.33, N = 3104105107
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyDefaultOptimizedOptimized Round 220406080100Min: 104 / Avg: 104.67 / Max: 105

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibDefaultOptimizedOptimized Round 248121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 316.416.716.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibDefaultOptimizedOptimized Round 248121620Min: 16.4 / Avg: 16.43 / Max: 16.5Min: 16.6 / Avg: 16.67 / Max: 16.7Min: 16.7 / Avg: 16.73 / Max: 16.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceDefaultOptimizedOptimized Round 2100200300400500SE +/- 0.88, N = 3SE +/- 0.33, N = 3445444444
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceDefaultOptimizedOptimized Round 280160240320400Min: 443 / Avg: 444.67 / Max: 446Min: 444 / Avg: 444.33 / Max: 445

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsDefaultOptimizedOptimized Round 2510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 322.822.622.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsDefaultOptimizedOptimized Round 2510152025Min: 22.8 / Avg: 22.8 / Max: 22.8Min: 22.6 / Avg: 22.6 / Max: 22.6Min: 22.5 / Avg: 22.53 / Max: 22.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesDefaultOptimizedOptimized Round 220406080100SE +/- 0.03, N = 3SE +/- 0.33, N = 3100.0101.0102.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesDefaultOptimizedOptimized Round 220406080100Min: 99.9 / Avg: 99.97 / Max: 100Min: 101 / Avg: 101.67 / Max: 102

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileDefaultOptimizedOptimized Round 24080120160200159158158

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupDefaultOptimizedOptimized Round 23691215SE +/- 0.03, N = 3SE +/- 0.00, N = 312.212.012.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupDefaultOptimizedOptimized Round 248121620Min: 12.1 / Avg: 12.17 / Max: 12.2Min: 12.3 / Avg: 12.3 / Max: 12.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateDefaultOptimizedOptimized Round 21122334455SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 346.444.544.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateDefaultOptimizedOptimized Round 2918273645Min: 46.3 / Avg: 46.43 / Max: 46.6Min: 44.5 / Avg: 44.5 / Max: 44.5Min: 44.3 / Avg: 44.43 / Max: 44.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonDefaultOptimizedOptimized Round 290180270360450SE +/- 1.45, N = 3SE +/- 0.33, N = 3434414414
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonDefaultOptimizedOptimized Round 280160240320400Min: 432 / Avg: 434.33 / Max: 437Min: 413 / Avg: 413.67 / Max: 414

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEDefaultOptimizedOptimized Round 2816243240SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.37, N = 1332.2732.4932.77
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEDefaultOptimizedOptimized Round 2714212835Min: 32.15 / Avg: 32.27 / Max: 32.33Min: 32.37 / Avg: 32.49 / Max: 32.66Min: 32.15 / Avg: 32.77 / Max: 37.17

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyDefaultOptimizedOptimized Round 23691215SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 312.9613.1713.28
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyDefaultOptimizedOptimized Round 248121620Min: 12.84 / Avg: 12.96 / Max: 13.07Min: 12.91 / Avg: 13.17 / Max: 13.41Min: 13.12 / Avg: 13.28 / Max: 13.43

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianDefaultOptimizedOptimized Round 2246810SE +/- 0.018, N = 3SE +/- 0.020, N = 3SE +/- 0.029, N = 36.2136.0596.095
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianDefaultOptimizedOptimized Round 2246810Min: 6.18 / Avg: 6.21 / Max: 6.24Min: 6.03 / Avg: 6.06 / Max: 6.1Min: 6.05 / Avg: 6.1 / Max: 6.15

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineDefaultOptimizedOptimized Round 21632486480SE +/- 0.25, N = 3SE +/- 0.34, N = 3SE +/- 0.16, N = 370.9671.6272.07
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineDefaultOptimizedOptimized Round 21428425670Min: 70.66 / Avg: 70.96 / Max: 71.45Min: 70.94 / Avg: 71.62 / Max: 72.05Min: 71.75 / Avg: 72.07 / Max: 72.29

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointDefaultOptimizedOptimized Round 2612182430SE +/- 0.26, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 325.7725.8625.79
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointDefaultOptimizedOptimized Round 2612182430Min: 25.33 / Avg: 25.77 / Max: 26.24Min: 25.62 / Avg: 25.86 / Max: 26.28Min: 25.75 / Avg: 25.79 / Max: 25.83

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreDefaultOptimizedOptimized Round 2400800120016002000193219231938

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreDefaultOptimizedOptimized Round 230060090012001500119711971200

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreDefaultOptimizedOptimized Round 27001400210028003500312931203138

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmDefaultOptimizedOptimized Round 2510152025SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 320.6820.6321.01
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmDefaultOptimizedOptimized Round 2510152025Min: 20.61 / Avg: 20.68 / Max: 20.78Min: 20.62 / Avg: 20.63 / Max: 20.64Min: 20.76 / Avg: 21.01 / Max: 21.48

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1DefaultOptimizedOptimized Round 220406080100SE +/- 0.69, N = 3SE +/- 0.29, N = 3SE +/- 0.09, N = 3107.56106.74106.51
OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1DefaultOptimizedOptimized Round 220406080100Min: 106.18 / Avg: 107.56 / Max: 108.38Min: 106.25 / Avg: 106.74 / Max: 107.27Min: 106.43 / Avg: 106.51 / Max: 106.69

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 MetricDefaultOptimizedOptimized Round 2200K400K600K800K1000K8169348175298341201. (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 -lGL -lGLdispatch -lX11 -lpthread -ldl -luuid -lm

95 Results Shown

High Performance Conjugate Gradient
NAS Parallel Benchmarks:
  BT.C
  EP.C
  EP.D
  FT.C
  LU.C
  MG.C
  SP.B
CloverLeaf
Rodinia:
  OpenMP LavaMD
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
Timed MrBayes Analysis
LAMMPS Molecular Dynamics Simulator
Zstd Compression:
  3
  19
John The Ripper:
  Blowfish
  MD5
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
AOM AV1:
  Speed 4 Two-Pass
  Speed 6 Realtime
  Speed 6 Two-Pass
  Speed 8 Realtime
SVT-AV1:
  Enc Mode 0 - 1080p
  Enc Mode 4 - 1080p
  Enc Mode 8 - 1080p
ACES DGEMM
Coremark
Himeno Benchmark
Stockfish
POV-Ray
YafaRay
Numpy Benchmark
Cython benchmark
Montage Astronomical Image Mosaic Engine
glibc bench:
  cos
  exp
  ffs
  sin
  log2
  modf
  sinh
  sqrt
  tanh
  asinh
  atanh
  ffsll
  sincos
  pthread_once
GROMACS
Darmstadt Automotive Parallel Heterogeneous Suite:
  OpenMP - NDT Mapping
  OpenMP - Points2Image
  OpenMP - Euclidean Cluster
SQLite Speedtest
Hugin
OCRMyPDF
Redis:
  GET
  SET
PlaidML:
  No - Inference - VGG16 - CPU
  No - Inference - VGG19 - CPU
  No - Inference - IMDB LSTM - CPU
  No - Inference - Mobilenet - CPU
  No - Inference - ResNet 50 - CPU
  No - Inference - DenseNet 201 - CPU
  No - Inference - Inception V3 - CPU
PyBench
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
Numenta Anomaly Benchmark:
  EXPoSE
  Relative Entropy
  Windowed Gaussian
  Earthgecko Skyline
  Bayesian Changepoint
AI Benchmark Alpha:
  Device Inference Score
  Device Training Score
  Device AI Score
Mlpack Benchmark
Scikit-Learn
BRL-CAD