Xeon E3-1270 v5 2020

Intel Xeon E3-1270 v5 testing with a ASUS E3 PRO GAMING V5 (2606 BIOS) and ASUS NVIDIA NV84 256MB on Clear Linux OS 31470 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 2010168-FI-XEONE312793
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Xeon E3-1270 v5 2020ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Xeon E3-1270 v5 @ 4.00GHz (4 Cores / 8 Threads)ASUS E3 PRO GAMING V5 (2606 BIOS)Intel Xeon E3-1200 v5/E3-15008GB256GB Samsung SSD 850ASUS NVIDIA NV84 256MBRealtek ALC1150DELL S2409WIntel I219-LMClear Linux OS 314705.3.8-854.native (x86_64)GNOME Shell 3.34.1X Server 1.20.5nouveau 1.0.163.3 Mesa 19.3.0-develGCC 9.2.1 20191101 gcc-9-branch@277702 + Clang 9.0.0 + LLVM 9.0.0ext41920x1080OpenBenchmarking.orgEnvironment Details- CFFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,-sort-common -Wl,--enable-new-dtags" FFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,--enable-new-dtags" CXXFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -fvisibility-inlines-hidden -Wl,--enable-new-dtags" MESA_GLSL_CACHE_DISABLE=0 CFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake" THEANO_FLAGS="floatX=float32,openmp=true,gcc.cxxflags="-ftree-vectorize -mavx"" Compiler Details- --build=x86_64-generic-linux --disable-libmpx --disable-libunwind-exceptions --disable-multiarch --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-clocale=gnu --enable-default-pie --enable-gnu-indirect-function --enable-languages=c,c++,fortran,go --enable-ld=default --enable-libstdcxx-pch --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --exec-prefix=/usr --includedir=/usr/include --target=x86_64-generic-linux --with-arch=westmere --with-gcc-major-version-only --with-glibc-version=2.19 --with-gnu-ld --with-isl --with-ppl=yes --with-tune=haswell Disk Details- BFQ / relatime,rw,stripe=256Processor Details- Scaling Governor: intel_pstate performance - CPU Microcode: 0xccGraphics Details- 1: EXAJava Details- OpenJDK Runtime Environment (build 1.8.0-u232-ga-b00)Python Details- Python 3.7.5Security Details- l1tf: Mitigation of PTE Inversion + mds: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + 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

123Result OverviewPhoronix Test Suite100%101%101%102%102%C-BloscPostMarkNeatBench7-Zip CompressionScikit-LearnLULESHLuxCoreRendereSpeak-NG Speech EngineTensorflowNumpy BenchmarkOpenVKLMonte Carlo Simulations of Ionised NebulaeLAMMPS Molecular Dynamics SimulatorZstd CompressionIncompact3DLeelaChessZeroSMHasheroneDNNFFTEBYTE Unix BenchmarkNAMDSunflow Rendering SystemNCNNGROMACSTNNTimed Linux Kernel CompilationMobile Neural NetworkLevelDBAlgebraic Multi-Grid BenchmarkStress-NGDolfynRNNoiseLibRawdav1dRodiniaKeyDBWebP Image EncodeTachyonVP9 libvpx EncodingSVT-VP9rays1benchTimed MPlayer CompilationNumenta Anomaly BenchmarkGitDeepSpeechx264BotanTimed Apache CompilationTimed PHP CompilationEmbreeASTC EncoderSVT-AV1Hierarchical INTegrationlibavif avifencJohn The RipperTensorFlow LiteTimed HMMer SearchIntel Open Image DenoiseBasis Universal

Xeon E3-1270 v5 2020postmark: Disk Transaction Performanceblosc: blosclzlczero: BLASlczero: Eigenrodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicssmhasher: wyhashsmhasher: wyhashsmhasher: MeowHashsmhasher: MeowHashsmhasher: Spooky32smhasher: Spooky32smhasher: fasthash32smhasher: fasthash32smhasher: t1ha2_atoncesmhasher: t1ha2_atoncesmhasher: t1ha0_aes_avx2smhasher: t1ha0_aes_avx2amg: ffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchincompact3d: Cylindermocassin: Dust 2D tau100.0lammps: Rhodopsin Proteinlulesh: webp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionbyte: Dhrystone 2compress-zstd: 3compress-zstd: 19botan: KASUMIbotan: AES-256botan: Twofishbotan: Blowfishbotan: CAST-256libraw: Post-Processing Benchmarkjohn-the-ripper: Blowfishjohn-the-ripper: MD5onednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objsvt-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 1080pvpxenc: Speed 0vpxenc: Speed 5x264: H.264 Video Encodingoidn: Memorialopenvkl: vklBenchmarkluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismcompress-7zip: Compress Speed Testavifenc: 0avifenc: 2avifenc: 8avifenc: 10build-apache: Time To Compilebuild-linux-kernel: Time To Compilebuild-mplayer: Time To Compilebuild-php: Time To Compilerays1bench: Large Scenenumpy: deepspeech: CPUespeak: Text-To-Speech Synthesisrnnoise: tachyon: Total Timeleveldb: Hot Readleveldb: Fill Syncleveldb: Fill Syncleveldb: Overwriteleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Fillleveldb: Rand Readleveldb: Seek Randleveldb: Rand Deleteleveldb: Seq Fillleveldb: Seq Fillkeydb: gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2tensorflow: Cifar10astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3basis: UASTC Level 2 + RDO Post-Processingstress-ng: MMAPstress-ng: NUMAstress-ng: MEMFDstress-ng: Atomicstress-ng: Cryptostress-ng: Mallocstress-ng: RdRandstress-ng: Forkingstress-ng: SENDFILEstress-ng: CPU Cachestress-ng: CPU Stressstress-ng: Semaphoresstress-ng: Matrix Mathstress-ng: Vector Mathstress-ng: Memory Copyingstress-ng: Socket Activitystress-ng: Context Switchingstress-ng: Glibc C String Functionsstress-ng: Glibc Qsort Data Sortingstress-ng: System V Message Passingmnn: 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 v1.1numenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointhint: FLOATneatbench: CPUgit: Time To Complete Common Git Commandsscikit-learn: sunflow: Global Illumination + Image Synthesis12358137667.8733688540.059108.253239.08045.44127.8253.6925621.23316138.0630.90234021.3564.47512746.4150.9216333.4639.89514991.5139.91540768.8740.26124249.0916339.723236257116.033254.7324532833.062962.389681.5362.41916.3807.25540.53950804732.02253.020.489.2773812.107345.111423.639132.66543.4771144326997.45348107.22422.00958.7123913.1763517.182249.8445.71576384.6493.32352.2890.034.80385.47265.78305.33206.93516.09271.84115.04599.17101.9180.176.7825.0742.343.9757.740.760.8125137163.80895.9936.1115.55330.995159.37594.87897.01626.08353.4073.5245330.19025.387209.40593.88030.927.89635.025.28035.125.2103.8724.47224.20937.623.518456189.330.52847367368318933362413193073246046180537104.567.8510.2066.86539.4472.3939.62168.943135.640795.98459.17315.57297.81226219.121075.2324623926.59155610.263156.3756270.0517.902104.78748709.6519052.3029571.461104.463866.051406958.08577641.2070.244933452.508.46143.0574.8506.36848.95121.3028.077.716.214.256.2710.251.8120.1590.6020.5619.7844.5737.53341.952333.31038.76223.359248.41169.457392040366.367678.1753.0208.8232.16959527851.3737689537.684108.096238.30445.46427.8423.6790521.21215751.7130.90233790.7164.47412690.4750.9306334.3939.88715005.6140.00540321.7240.26824274.0916360.032199746116.010254.4273272823.056947.976101.5372.42216.3037.22340.40550631351.22229.720.489.2173812.946344.977424.192133.34043.5871124327087.46808107.41022.03838.7453413.1818512.504241.2475.69309383.6593.13351.1089.944.73805.56165.75095.33436.93056.14731.84415.04299.11102.0380.096.7925.0342.333.9757.630.760.81255956.1075.55230.982159.82094.70496.90126.03354.7873.4986530.52325.449209.04073.71230.328.78534.825.3883525.2723.8314.44424.20037.623.565456624.730.52747383368331833362213194203246606182030103.477.8710.2166.84539.5672.6039.61068.961135.600795.59559.17317.21296.56231774.621074.9724563522.66155612.853118.7755946.2017.962125.33748715.9519648.0329576.931103.833881.771399980.24580683.6170.564925362.228.49143.3254.8596.36749.15821.3928.047.736.244.286.3010.301.8220.2190.8220.6619.9144.6337.63344.760334.25138.97123.088248.17969.585392085321.389778.0952.9328.6642.16959067834.1748681541.192108.000238.75345.30927.8273.6768521.17915640.4630.90233824.0764.47412643.2950.9276333.7639.88314903.3639.90440382.0840.25824206.4216418.808991091115.989255.7962342833.072958.251721.5342.42816.2937.25440.43550857890.62236.820.489.2693812.415345.280424.199133.32743.4971134325067.45277107.01922.03798.7185513.2032515.006251.8155.67034385.3093.28351.4289.874.78895.48605.76795.32386.93436.15111.84115.04898.92101.6880.066.7725.0042.283.9757.410.750.80256086.1095.55030.964159.20994.79996.90326.04352.0473.4074430.44325.408209.61253.69630.528.56835.025.26835.025.2583.7934.44824.33137.623.545455618.290.52647383768329033363253194233245806182530103.977.8510.2166.85539.9972.5529.62168.915135.596796.44359.18317.51294.09223485.531074.4124541822.18155613.553189.5155948.2617.962109.16748917.4919536.1729577.041098.093890.311395920.41577297.2470.454939510.548.48343.0874.8736.37348.84221.3027.967.726.284.286.3010.301.8220.2390.6720.6519.8344.5437.51343.832334.12738.79223.025248.93669.580392279317.439048.2553.0218.6762.178OpenBenchmarking.org

PostMark

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

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction Performance12313002600390052006500SE +/- 46.33, N = 35813595259061. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake
OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction Performance12310002000300040005000Min: 5813 / Avg: 5905.67 / Max: 59521. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake

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 +/- 0.61, N = 3SE +/- 3.70, N = 3SE +/- 37.09, N = 37667.87851.37834.11. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclz12314002800420056007000Min: 7666.7 / Avg: 7667.8 / Max: 7668.8Min: 7844 / Avg: 7851.33 / Max: 7855.8Min: 7796 / Avg: 7834.13 / Max: 7908.31. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS123160320480640800SE +/- 6.12, N = 3SE +/- 3.21, N = 3SE +/- 6.69, N = 37337377481. (CXX) g++ options: -flto -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS123130260390520650Min: 723 / Avg: 732.67 / Max: 744Min: 732 / Avg: 737 / Max: 743Min: 735 / Avg: 748.33 / Max: 7561. (CXX) g++ options: -flto -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen123150300450600750SE +/- 9.60, N = 3SE +/- 7.37, N = 3SE +/- 6.23, N = 36886896811. (CXX) g++ options: -flto -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen123120240360480600Min: 670 / Avg: 687.67 / Max: 703Min: 675 / Avg: 689 / Max: 700Min: 673 / Avg: 680.67 / Max: 6931. (CXX) g++ options: -flto -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread

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 LavaMD123120240360480600SE +/- 1.75, N = 3SE +/- 0.08, N = 3SE +/- 1.91, N = 3540.06537.68541.191. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD123100200300400500Min: 538.04 / Avg: 540.06 / Max: 543.55Min: 537.53 / Avg: 537.68 / Max: 537.79Min: 538.95 / Avg: 541.19 / Max: 544.991. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D12320406080100SE +/- 0.25, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3108.25108.10108.001. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D12320406080100Min: 107.94 / Avg: 108.25 / Max: 108.74Min: 107.93 / Avg: 108.1 / Max: 108.35Min: 107.82 / Avg: 108 / Max: 108.21. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte12350100150200250SE +/- 0.61, N = 3SE +/- 0.24, N = 3SE +/- 0.20, N = 3239.08238.30238.751. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte1234080120160200Min: 238.12 / Avg: 239.08 / Max: 240.21Min: 237.83 / Avg: 238.3 / Max: 238.63Min: 238.5 / Avg: 238.75 / Max: 239.141. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver1231020304050SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.18, N = 345.4445.4645.311. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver123918273645Min: 45.31 / Avg: 45.44 / Max: 45.53Min: 45.09 / Avg: 45.46 / Max: 45.74Min: 45.13 / Avg: 45.31 / Max: 45.671. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster123714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 327.8327.8427.831. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster123612182430Min: 27.81 / Avg: 27.82 / Max: 27.84Min: 27.83 / Avg: 27.84 / Max: 27.86Min: 27.82 / Avg: 27.83 / Max: 27.831. (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 Atoms1230.83081.66162.49243.32324.154SE +/- 0.00792, N = 3SE +/- 0.00417, N = 3SE +/- 0.00563, N = 33.692563.679053.67685
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms123246810Min: 3.68 / Avg: 3.69 / Max: 3.71Min: 3.67 / Avg: 3.68 / Max: 3.69Min: 3.67 / Avg: 3.68 / Max: 3.69

Dolfyn

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 321.2321.2121.18
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025Min: 21.14 / Avg: 21.23 / Max: 21.32Min: 21.18 / Avg: 21.21 / Max: 21.23Min: 21.14 / Avg: 21.18 / Max: 21.25

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: wyhash1233K6K9K12K15KSE +/- 55.04, N = 3SE +/- 84.01, N = 3SE +/- 14.81, N = 316138.0615751.7115640.461. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: wyhash1233K6K9K12K15KMin: 16057.06 / Avg: 16138.06 / Max: 16243.12Min: 15584.45 / Avg: 15751.71 / Max: 15849.08Min: 15623.62 / Avg: 15640.46 / Max: 15669.991. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: wyhash123714212835SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 330.9030.9030.901. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: wyhash123714212835Min: 30.9 / Avg: 30.9 / Max: 30.9Min: 30.9 / Avg: 30.9 / Max: 30.9Min: 30.9 / Avg: 30.9 / Max: 30.91. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: MeowHash1237K14K21K28K35KSE +/- 54.57, N = 3SE +/- 84.64, N = 3SE +/- 80.07, N = 334021.3533790.7133824.071. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: MeowHash1236K12K18K24K30KMin: 33963.57 / Avg: 34021.35 / Max: 34130.42Min: 33622.08 / Avg: 33790.71 / Max: 33887.84Min: 33665.51 / Avg: 33824.07 / Max: 33922.761. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: MeowHash1231428425670SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 364.4864.4764.471. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: MeowHash1231326395265Min: 64.47 / Avg: 64.48 / Max: 64.48Min: 64.47 / Avg: 64.47 / Max: 64.48Min: 64.47 / Avg: 64.47 / Max: 64.481. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: Spooky321233K6K9K12K15KSE +/- 28.12, N = 3SE +/- 21.14, N = 3SE +/- 123.78, N = 312746.4112690.4712643.291. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: Spooky321232K4K6K8K10KMin: 12694.47 / Avg: 12746.41 / Max: 12791.04Min: 12664.42 / Avg: 12690.47 / Max: 12732.33Min: 12401.9 / Avg: 12643.29 / Max: 12811.571. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: Spooky321231122334455SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 350.9250.9350.931. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: Spooky321231020304050Min: 50.92 / Avg: 50.92 / Max: 50.92Min: 50.93 / Avg: 50.93 / Max: 50.93Min: 50.92 / Avg: 50.93 / Max: 50.931. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: fasthash3212314002800420056007000SE +/- 0.61, N = 3SE +/- 0.85, N = 3SE +/- 0.10, N = 36333.466334.396333.761. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: fasthash3212311002200330044005500Min: 6332.28 / Avg: 6333.46 / Max: 6334.34Min: 6333.31 / Avg: 6334.39 / Max: 6336.06Min: 6333.58 / Avg: 6333.76 / Max: 6333.941. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: fasthash32123918273645SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 339.9039.8939.881. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: fasthash32123816243240Min: 39.89 / Avg: 39.89 / Max: 39.9Min: 39.88 / Avg: 39.89 / Max: 39.91Min: 39.88 / Avg: 39.88 / Max: 39.891. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha2_atonce1233K6K9K12K15KSE +/- 28.03, N = 3SE +/- 10.85, N = 3SE +/- 79.10, N = 314991.5115005.6114903.361. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha2_atonce1233K6K9K12K15KMin: 14942.66 / Avg: 14991.51 / Max: 15039.76Min: 14985.94 / Avg: 15005.61 / Max: 15023.38Min: 14748.31 / Avg: 14903.36 / Max: 15008.041. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha2_atonce123918273645SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 339.9240.0139.901. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha2_atonce123816243240Min: 39.91 / Avg: 39.92 / Max: 39.92Min: 39.92 / Avg: 40.01 / Max: 40.17Min: 39.9 / Avg: 39.9 / Max: 39.921. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx21239K18K27K36K45KSE +/- 222.94, N = 3SE +/- 34.29, N = 3SE +/- 129.71, N = 340768.8740321.7240382.081. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx21237K14K21K28K35KMin: 40351.02 / Avg: 40768.87 / Max: 41112.55Min: 40274.59 / Avg: 40321.72 / Max: 40388.44Min: 40212.53 / Avg: 40382.08 / Max: 40636.91. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx2123918273645SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 340.2640.2740.261. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx2123816243240Min: 40.25 / Avg: 40.26 / Max: 40.27Min: 40.27 / Avg: 40.27 / Max: 40.27Min: 40.25 / Avg: 40.26 / Max: 40.271. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lpthread

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 +/- 9.25, N = 3SE +/- 41.55, N = 3SE +/- 26.42, N = 324249.0924274.0924206.421. (CC) gcc options: -march=native -O3 -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: 24234.74 / Avg: 24249.09 / Max: 24266.37Min: 24225.86 / Avg: 24274.09 / Max: 24356.82Min: 24173.16 / Avg: 24206.42 / Max: 24258.621. (CC) gcc options: -march=native -O3 -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

FFTE

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

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1234K8K12K16K20KSE +/- 20.33, N = 3SE +/- 34.90, N = 3SE +/- 31.31, N = 316339.7216360.0316418.811. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1233K6K9K12K15KMin: 16304.2 / Avg: 16339.72 / Max: 16374.62Min: 16290.29 / Avg: 16360.03 / Max: 16397.52Min: 16358.33 / Avg: 16418.81 / Max: 16463.081. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3116.03116.01115.991. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 116.02 / Avg: 116.03 / Max: 116.06Min: 115.98 / Avg: 116.01 / Max: 116.03Min: 115.94 / Avg: 115.99 / Max: 116.071. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lhmmer -leasel -lm

Incompact3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder12360120180240300SE +/- 0.39, N = 3SE +/- 0.31, N = 3SE +/- 0.77, N = 3254.73254.43255.801. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder12350100150200250Min: 254.12 / Avg: 254.73 / Max: 255.47Min: 254.07 / Avg: 254.43 / Max: 255.04Min: 254.82 / Avg: 255.8 / Max: 257.311. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Monte Carlo Simulations of Ionised Nebulae

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.012360120180240300SE +/- 1.53, N = 3SE +/- 1.53, N = 32832822831. (F9X) gfortran options: -O3 -pipe -fexceptions -fstack-protector -m64 -malign-data=abi -ftree-vectorize -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.012350100150200250Min: 281 / Avg: 283 / Max: 286Min: 281 / Avg: 283 / Max: 2861. (F9X) gfortran options: -O3 -pipe -fexceptions -fstack-protector -m64 -malign-data=abi -ftree-vectorize -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein1230.69121.38242.07362.76483.456SE +/- 0.011, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 33.0623.0563.0721. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein123246810Min: 3.04 / Avg: 3.06 / Max: 3.07Min: 3.05 / Avg: 3.06 / Max: 3.07Min: 3.06 / Avg: 3.07 / Max: 3.081. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -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 2.0.31232004006008001000SE +/- 2.80, N = 3SE +/- 11.75, N = 5SE +/- 5.29, N = 3962.39947.98958.251. (CXX) g++ options: -march=native -O3 -fopenmp -lm -pthread -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31232004006008001000Min: 959.42 / Avg: 962.39 / Max: 967.99Min: 901.7 / Avg: 947.98 / Max: 964.13Min: 950.7 / Avg: 958.25 / Max: 968.461. (CXX) g++ options: -march=native -O3 -fopenmp -lm -pthread -lmpi

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1230.34580.69161.03741.38321.729SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 31.5361.5371.5341. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default123246810Min: 1.53 / Avg: 1.54 / Max: 1.54Min: 1.53 / Avg: 1.54 / Max: 1.54Min: 1.53 / Avg: 1.53 / Max: 1.541. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.54631.09261.63892.18522.7315SE +/- 0.000, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 32.4192.4222.4281. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100123246810Min: 2.42 / Avg: 2.42 / Max: 2.42Min: 2.42 / Avg: 2.42 / Max: 2.43Min: 2.42 / Avg: 2.43 / Max: 2.441. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless12348121620SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 316.3816.3016.291. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless12348121620Min: 16.38 / Avg: 16.38 / Max: 16.38Min: 16.24 / Avg: 16.3 / Max: 16.41Min: 16.23 / Avg: 16.29 / Max: 16.411. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression123246810SE +/- 0.025, N = 3SE +/- 0.002, N = 3SE +/- 0.018, N = 37.2557.2237.2541. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1233691215Min: 7.23 / Avg: 7.26 / Max: 7.3Min: 7.22 / Avg: 7.22 / Max: 7.23Min: 7.23 / Avg: 7.25 / Max: 7.291. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123918273645SE +/- 0.14, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 340.5440.4140.441. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123816243240Min: 40.26 / Avg: 40.54 / Max: 40.7Min: 40.05 / Avg: 40.41 / Max: 40.59Min: 40.22 / Avg: 40.44 / Max: 40.651. (CC) gcc options: -fvisibility=hidden -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lm -ljpeg -lpng16 -ltiff

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 212311M22M33M44M55MSE +/- 53945.74, N = 3SE +/- 47951.84, N = 3SE +/- 180975.43, N = 350804732.050631351.250857890.61. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21239M18M27M36M45MMin: 50741467.5 / Avg: 50804732.03 / Max: 50912052Min: 50536098.3 / Avg: 50631351.17 / Max: 50688637Min: 50663083.7 / Avg: 50857890.57 / Max: 51219479.61. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake

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: 31235001000150020002500SE +/- 2.26, N = 3SE +/- 12.29, N = 3SE +/- 9.01, N = 32253.02229.72236.81. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lz
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3123400800120016002000Min: 2249.5 / Avg: 2252.97 / Max: 2257.2Min: 2205.3 / Avg: 2229.73 / Max: 2244.3Min: 2220.9 / Avg: 2236.8 / Max: 2252.11. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lz

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19123510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 320.420.420.41. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lz
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19123510152025Min: 20.4 / Avg: 20.4 / Max: 20.4Min: 20.4 / Avg: 20.4 / Max: 20.4Min: 20.3 / Avg: 20.37 / Max: 20.41. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lz

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMI12320406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 389.2889.2289.271. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMI12320406080100Min: 89.27 / Avg: 89.28 / Max: 89.29Min: 89.2 / Avg: 89.22 / Max: 89.25Min: 89.14 / Avg: 89.27 / Max: 89.351. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-2561238001600240032004000SE +/- 0.48, N = 3SE +/- 0.31, N = 3SE +/- 0.57, N = 33812.113812.953812.421. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-2561237001400210028003500Min: 3811.27 / Avg: 3812.11 / Max: 3812.93Min: 3812.5 / Avg: 3812.95 / Max: 3813.55Min: 3811.3 / Avg: 3812.42 / Max: 3813.181. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: Twofish12380160240320400SE +/- 0.33, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3345.11344.98345.281. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: Twofish12360120180240300Min: 344.46 / Avg: 345.11 / Max: 345.47Min: 344.75 / Avg: 344.98 / Max: 345.3Min: 345.22 / Avg: 345.28 / Max: 345.341. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: Blowfish12390180270360450SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3423.64424.19424.201. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: Blowfish12380160240320400Min: 423.41 / Avg: 423.64 / Max: 423.98Min: 423.92 / Avg: 424.19 / Max: 424.43Min: 423.87 / Avg: 424.2 / Max: 424.381. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256123306090120150SE +/- 0.64, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3132.67133.34133.331. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256123306090120150Min: 131.38 / Avg: 132.66 / Max: 133.34Min: 133.31 / Avg: 133.34 / Max: 133.37Min: 133.05 / Avg: 133.33 / Max: 133.61. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 Benchmark1231020304050SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 343.4743.5843.491. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123918273645Min: 43.26 / Avg: 43.47 / Max: 43.62Min: 43.52 / Avg: 43.58 / Max: 43.64Min: 43.45 / Avg: 43.49 / Max: 43.541. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -ljpeg -lz -lm

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: Blowfish12315003000450060007500SE +/- 1.00, N = 3SE +/- 2.33, N = 37114711271131. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: Blowfish12312002400360048006000Min: 7113 / Avg: 7114 / Max: 7116Min: 7108 / Avg: 7111.67 / Max: 71161. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD512390K180K270K360K450KSE +/- 96.22, N = 3SE +/- 158.18, N = 3SE +/- 31.00, N = 34326994327084325061. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD512380K160K240K320K400KMin: 432537 / Avg: 432699.33 / Max: 432870Min: 432409 / Avg: 432708 / Max: 432947Min: 432444 / Avg: 432506 / Max: 4325371. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

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: CPU123246810SE +/- 0.00911, N = 3SE +/- 0.00506, N = 3SE +/- 0.00117, N = 37.453487.468087.45277MIN: 7.23MIN: 7.23MIN: 7.231. (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: CPU1233691215Min: 7.44 / Avg: 7.45 / Max: 7.47Min: 7.46 / Avg: 7.47 / Max: 7.48Min: 7.45 / Avg: 7.45 / Max: 7.451. (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: CPU12320406080100SE +/- 0.30, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3107.22107.41107.02MIN: 105.68MIN: 105.93MIN: 105.221. (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: CPU12320406080100Min: 106.73 / Avg: 107.22 / Max: 107.76Min: 107.36 / Avg: 107.41 / Max: 107.45Min: 106.8 / Avg: 107.02 / Max: 107.331. (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: CPU123510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 322.0122.0422.04MIN: 21.79MIN: 21.83MIN: 21.811. (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: CPU123510152025Min: 21.98 / Avg: 22.01 / Max: 22.05Min: 21.99 / Avg: 22.04 / Max: 22.07Min: 22 / Avg: 22.04 / Max: 22.11. (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: CPU123246810SE +/- 0.00458, N = 3SE +/- 0.01472, N = 3SE +/- 0.00927, N = 38.712398.745348.71855MIN: 8.64MIN: 8.65MIN: 8.641. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU1233691215Min: 8.7 / Avg: 8.71 / Max: 8.72Min: 8.72 / Avg: 8.75 / Max: 8.76Min: 8.7 / Avg: 8.72 / Max: 8.731. (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: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 313.1813.1813.20MIN: 13.03MIN: 13.04MIN: 13.051. (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: CPU12348121620Min: 13.14 / Avg: 13.18 / Max: 13.2Min: 13.17 / Avg: 13.18 / Max: 13.19Min: 13.15 / Avg: 13.2 / Max: 13.251. (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: CPU123110220330440550SE +/- 1.14, N = 3SE +/- 1.58, N = 3SE +/- 0.70, N = 3517.18512.50515.01MIN: 513.92MIN: 508.47MIN: 513.141. (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: CPU12390180270360450Min: 514.92 / Avg: 517.18 / Max: 518.52Min: 509.37 / Avg: 512.5 / Max: 514.43Min: 513.97 / Avg: 515.01 / Max: 516.341. (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: CPU12360120180240300SE +/- 0.37, N = 3SE +/- 0.78, N = 3SE +/- 0.34, N = 3249.84241.25251.82MIN: 248.35MIN: 239.63MIN: 250.521. (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: CPU12350100150200250Min: 249.26 / Avg: 249.84 / Max: 250.52Min: 240.24 / Avg: 241.25 / Max: 242.78Min: 251.21 / Avg: 251.81 / Max: 252.391. (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: CPU1231.2862.5723.8585.1446.43SE +/- 0.04613, N = 3SE +/- 0.00029, N = 3SE +/- 0.00064, N = 35.715765.693095.67034MIN: 5.44MIN: 5.47MIN: 5.41. (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: 5.66 / Avg: 5.72 / Max: 5.81Min: 5.69 / Avg: 5.69 / Max: 5.69Min: 5.67 / Avg: 5.67 / Max: 5.671. (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 1080p12380160240320400SE +/- 0.76, N = 3SE +/- 0.49, N = 3SE +/- 1.31, N = 3384.64383.65385.30MIN: 288.9 / MAX: 573.95MIN: 288.33 / MAX: 566.27MIN: 288.57 / MAX: 568.31. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p12370140210280350Min: 383.79 / Avg: 384.64 / Max: 386.17Min: 382.84 / Avg: 383.65 / Max: 384.54Min: 383.75 / Avg: 385.3 / Max: 387.91. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4K12320406080100SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 393.3293.1393.28MIN: 87.67 / MAX: 104.51MIN: 87.42 / MAX: 104.34MIN: 87.62 / MAX: 104.451. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4K12320406080100Min: 93.26 / Avg: 93.32 / Max: 93.36Min: 93.07 / Avg: 93.13 / Max: 93.21Min: 93.2 / Avg: 93.28 / Max: 93.331. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080p12380160240320400SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3352.28351.10351.42MIN: 329.68 / MAX: 383.62MIN: 328.85 / MAX: 382.11MIN: 329.13 / MAX: 382.191. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080p12360120180240300Min: 352.02 / Avg: 352.28 / Max: 352.61Min: 350.94 / Avg: 351.1 / Max: 351.19Min: 351.18 / Avg: 351.42 / Max: 351.791. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bit12320406080100SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 390.0389.9489.87MIN: 58.94 / MAX: 204.18MIN: 58.87 / MAX: 202.72MIN: 58.91 / MAX: 201.551. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bit12320406080100Min: 90 / Avg: 90.03 / Max: 90.09Min: 89.74 / Avg: 89.94 / Max: 90.16Min: 89.78 / Avg: 89.87 / Max: 89.941. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread

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: Crown1231.08092.16183.24274.32365.4045SE +/- 0.0022, N = 3SE +/- 0.0669, N = 3SE +/- 0.0050, N = 34.80384.73804.7889MIN: 4.78 / MAX: 4.87MIN: 4.58 / MAX: 4.89MIN: 4.76 / MAX: 4.86
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown123246810Min: 4.8 / Avg: 4.8 / Max: 4.81Min: 4.61 / Avg: 4.74 / Max: 4.82Min: 4.78 / Avg: 4.79 / Max: 4.8

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown1231.25142.50283.75425.00566.257SE +/- 0.0807, N = 4SE +/- 0.0020, N = 3SE +/- 0.0761, N = 35.47265.56165.4860MIN: 4.62 / MAX: 5.67MIN: 5.52 / MAX: 5.66MIN: 5.3 / MAX: 5.66
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown123246810Min: 5.23 / Avg: 5.47 / Max: 5.57Min: 5.56 / Avg: 5.56 / Max: 5.57Min: 5.33 / Avg: 5.49 / Max: 5.57

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon1231.30122.60243.90365.20486.506SE +/- 0.0104, N = 3SE +/- 0.0210, N = 3SE +/- 0.0285, N = 35.78305.75095.7679MIN: 5.75 / MAX: 5.85MIN: 5.7 / MAX: 5.83MIN: 5.33 / MAX: 5.86
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon123246810Min: 5.77 / Avg: 5.78 / Max: 5.8Min: 5.71 / Avg: 5.75 / Max: 5.79Min: 5.71 / Avg: 5.77 / Max: 5.81

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj1231.20022.40043.60064.80086.001SE +/- 0.0089, N = 3SE +/- 0.0098, N = 3SE +/- 0.0103, N = 35.33205.33435.3238MIN: 5.3 / MAX: 5.4MIN: 5.3 / MAX: 5.4MIN: 5.29 / MAX: 5.39
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj123246810Min: 5.32 / Avg: 5.33 / Max: 5.35Min: 5.32 / Avg: 5.33 / Max: 5.35Min: 5.31 / Avg: 5.32 / Max: 5.34

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon123246810SE +/- 0.0036, N = 3SE +/- 0.0074, N = 3SE +/- 0.0082, N = 36.93516.93056.9343MIN: 6.9 / MAX: 7.01MIN: 6.89 / MAX: 7.02MIN: 6.89 / MAX: 7.02
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon1233691215Min: 6.93 / Avg: 6.94 / Max: 6.94Min: 6.92 / Avg: 6.93 / Max: 6.95Min: 6.92 / Avg: 6.93 / Max: 6.95

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj123246810SE +/- 0.0747, N = 5SE +/- 0.0148, N = 3SE +/- 0.0100, N = 36.09276.14736.1511MIN: 5.67 / MAX: 6.27MIN: 6.09 / MAX: 6.25MIN: 6.12 / MAX: 6.25
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj123246810Min: 5.8 / Avg: 6.09 / Max: 6.18Min: 6.12 / Avg: 6.15 / Max: 6.17Min: 6.14 / Avg: 6.15 / Max: 6.17

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080p1230.41490.82981.24471.65962.0745SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 31.8411.8441.8411. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080p123246810Min: 1.84 / Avg: 1.84 / Max: 1.84Min: 1.84 / Avg: 1.84 / Max: 1.85Min: 1.84 / Avg: 1.84 / Max: 1.841. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080p12348121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 315.0515.0415.051. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080p12348121620Min: 15.04 / Avg: 15.05 / Max: 15.05Min: 15.02 / Avg: 15.04 / Max: 15.06Min: 15.02 / Avg: 15.05 / Max: 15.081. (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 1080p12320406080100SE +/- 1.48, N = 3SE +/- 1.42, N = 3SE +/- 1.43, N = 399.1799.1198.921. (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 1080p12320406080100Min: 96.22 / Avg: 99.17 / Max: 100.94Min: 96.28 / Avg: 99.11 / Max: 100.55Min: 96.06 / Avg: 98.92 / Max: 100.471. (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 1080p12320406080100SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3101.91102.03101.681. (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 1080p12320406080100Min: 101.71 / Avg: 101.91 / Max: 102.11Min: 101.75 / Avg: 102.03 / Max: 102.27Min: 101.44 / Avg: 101.68 / Max: 101.881. (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 1080p12320406080100SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 380.1780.0980.061. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080p1231530456075Min: 80.14 / Avg: 80.17 / Max: 80.2Min: 79.98 / Avg: 80.09 / Max: 80.14Min: 79.94 / Avg: 80.06 / Max: 80.161. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.786.796.771. (CXX) g++ options: -m64 -lm -lpthread -O3 -pipe -fexceptions -fstack-protector -ffat-lto-objects -fno-trapping-math -mtune=skylake -fPIC -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 01233691215Min: 6.77 / Avg: 6.78 / Max: 6.79Min: 6.78 / Avg: 6.79 / Max: 6.8Min: 6.76 / Avg: 6.77 / Max: 6.781. (CXX) g++ options: -m64 -lm -lpthread -O3 -pipe -fexceptions -fstack-protector -ffat-lto-objects -fno-trapping-math -mtune=skylake -fPIC -std=c++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5123612182430SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 325.0725.0325.001. (CXX) g++ options: -m64 -lm -lpthread -O3 -pipe -fexceptions -fstack-protector -ffat-lto-objects -fno-trapping-math -mtune=skylake -fPIC -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5123612182430Min: 24.96 / Avg: 25.07 / Max: 25.14Min: 24.94 / Avg: 25.03 / Max: 25.07Min: 24.9 / Avg: 25 / Max: 25.131. (CXX) g++ options: -m64 -lm -lpthread -O3 -pipe -fexceptions -fstack-protector -ffat-lto-objects -fno-trapping-math -mtune=skylake -fPIC -std=c++11

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video Encoding1231020304050SE +/- 0.59, N = 3SE +/- 0.54, N = 3SE +/- 0.53, N = 342.3442.3342.281. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -pipe -fexceptions -fstack-protector -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video Encoding123918273645Min: 41.45 / Avg: 42.34 / Max: 43.45Min: 41.71 / Avg: 42.33 / Max: 43.4Min: 41.53 / Avg: 42.28 / Max: 43.311. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -pipe -fexceptions -fstack-protector -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

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: Memorial1230.89331.78662.67993.57324.4665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.973.973.97
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: Memorial123246810Min: 3.97 / Avg: 3.97 / Max: 3.97Min: 3.97 / Avg: 3.97 / Max: 3.97Min: 3.97 / Avg: 3.97 / Max: 3.97

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: vklBenchmark1231326395265SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 357.7457.6357.41MIN: 1 / MAX: 263MIN: 1 / MAX: 262MIN: 1 / MAX: 262
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmark1231122334455Min: 57.67 / Avg: 57.74 / Max: 57.89Min: 57.56 / Avg: 57.63 / Max: 57.67Min: 57.22 / Avg: 57.41 / Max: 57.67

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: DLSC1230.1710.3420.5130.6840.855SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.760.760.75MIN: 0.75 / MAX: 0.77MIN: 0.75 / MAX: 0.77MIN: 0.73 / MAX: 0.76
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSC123246810Min: 0.76 / Avg: 0.76 / Max: 0.77Min: 0.76 / Avg: 0.76 / Max: 0.77Min: 0.75 / Avg: 0.75 / Max: 0.76

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and Prism1230.18230.36460.54690.72920.9115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.810.810.80MIN: 0.8 / MAX: 0.87MIN: 0.8 / MAX: 0.86MIN: 0.79 / MAX: 0.86
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and Prism123246810Min: 0.8 / Avg: 0.81 / Max: 0.81Min: 0.81 / Avg: 0.81 / Max: 0.81Min: 0.8 / Avg: 0.8 / Max: 0.81

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed Test1235K10K15K20K25KSE +/- 144.23, N = 3SE +/- 135.96, N = 3SE +/- 342.86, N = 52513725595256081. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed Test1234K8K12K16K20KMin: 24971 / Avg: 25136.67 / Max: 25424Min: 25340 / Avg: 25595.33 / Max: 25804Min: 24513 / Avg: 25608.2 / Max: 266771. (CXX) g++ options: -pipe -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 014080120160200SE +/- 0.51, N = 3163.811. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2120406080100SE +/- 0.17, N = 395.991. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8123246810SE +/- 0.021, N = 3SE +/- 0.011, N = 3SE +/- 0.030, N = 36.1116.1076.1091. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8123246810Min: 6.08 / Avg: 6.11 / Max: 6.15Min: 6.09 / Avg: 6.11 / Max: 6.12Min: 6.06 / Avg: 6.11 / Max: 6.161. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 101231.24942.49883.74824.99766.247SE +/- 0.010, N = 3SE +/- 0.013, N = 3SE +/- 0.009, N = 35.5535.5525.5501. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10123246810Min: 5.53 / Avg: 5.55 / Max: 5.57Min: 5.54 / Avg: 5.55 / Max: 5.58Min: 5.54 / Avg: 5.55 / Max: 5.571. (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 Compile123714212835SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 331.0030.9830.96
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile123714212835Min: 30.9 / Avg: 30.99 / Max: 31.06Min: 30.95 / Avg: 30.98 / Max: 31.01Min: 30.9 / Avg: 30.96 / Max: 31.05

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 Compile1234080120160200SE +/- 0.56, N = 3SE +/- 0.64, N = 3SE +/- 0.57, N = 3159.38159.82159.21
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To Compile123306090120150Min: 158.81 / Avg: 159.37 / Max: 160.49Min: 158.76 / Avg: 159.82 / Max: 160.95Min: 158.6 / Avg: 159.21 / Max: 160.35

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To Compile12320406080100SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 394.8894.7094.80
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To Compile12320406080100Min: 94.85 / Avg: 94.88 / Max: 94.92Min: 94.64 / Avg: 94.7 / Max: 94.79Min: 94.71 / Avg: 94.8 / Max: 94.92

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To Compile12320406080100SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 397.0296.9096.90
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To Compile12320406080100Min: 96.97 / Avg: 97.02 / Max: 97.09Min: 96.88 / Avg: 96.9 / Max: 96.92Min: 96.84 / Avg: 96.9 / Max: 96.97

rays1bench

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

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large Scene123612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 326.0826.0326.04
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large Scene123612182430Min: 26.06 / Avg: 26.08 / Max: 26.09Min: 26 / Avg: 26.03 / Max: 26.07Min: 26.02 / Avg: 26.04 / Max: 26.07

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 Benchmark12380160240320400SE +/- 0.85, N = 3SE +/- 0.79, N = 3SE +/- 0.74, N = 3353.40354.78352.04
OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark12360120180240300Min: 351.78 / Avg: 353.4 / Max: 354.67Min: 353.26 / Avg: 354.78 / Max: 355.89Min: 350.56 / Avg: 352.04 / Max: 352.79

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPU1231632486480SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 373.5273.5073.41
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPU1231428425670Min: 73.41 / Avg: 73.52 / Max: 73.66Min: 73.36 / Avg: 73.5 / Max: 73.67Min: 73.32 / Avg: 73.41 / Max: 73.46

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 +/- 0.19, N = 4SE +/- 0.10, N = 4SE +/- 0.12, N = 430.1930.5230.441. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c99 -lpthread -lm
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123714212835Min: 29.83 / Avg: 30.19 / Max: 30.68Min: 30.27 / Avg: 30.52 / Max: 30.71Min: 30.32 / Avg: 30.44 / Max: 30.81. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c99 -lpthread -lm

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 325.3925.4525.411. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pedantic -fvisibility=hidden -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123612182430Min: 25.37 / Avg: 25.39 / Max: 25.42Min: 25.4 / Avg: 25.45 / Max: 25.48Min: 25.39 / Avg: 25.41 / Max: 25.431. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pedantic -fvisibility=hidden -lm

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total Time12350100150200250SE +/- 0.58, N = 3SE +/- 0.03, N = 3SE +/- 0.27, N = 3209.41209.04209.611. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total Time1234080120160200Min: 208.28 / Avg: 209.41 / Max: 210.21Min: 208.99 / Avg: 209.04 / Max: 209.07Min: 209.08 / Avg: 209.61 / Max: 209.91. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot Read1230.8731.7462.6193.4924.365SE +/- 0.055, N = 3SE +/- 0.065, N = 12SE +/- 0.066, N = 123.8803.7123.6961. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot Read123246810Min: 3.77 / Avg: 3.88 / Max: 3.94Min: 3.05 / Avg: 3.71 / Max: 3.89Min: 2.98 / Avg: 3.7 / Max: 3.871. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill Sync123714212835SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 330.930.330.51. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill Sync123714212835Min: 30.7 / Avg: 30.9 / Max: 31.2Min: 30 / Avg: 30.27 / Max: 30.7Min: 30.4 / Avg: 30.47 / Max: 30.61. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill Sync123714212835SE +/- 0.33, N = 3SE +/- 0.44, N = 3SE +/- 0.32, N = 327.9028.7928.571. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill Sync123612182430Min: 27.45 / Avg: 27.9 / Max: 28.54Min: 27.91 / Avg: 28.78 / Max: 29.23Min: 27.93 / Avg: 28.57 / Max: 28.91. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Overwrite123816243240SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 335.034.835.01. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Overwrite123714212835Min: 34.9 / Avg: 35 / Max: 35.1Min: 34.7 / Avg: 34.83 / Max: 35Min: 34.9 / Avg: 35 / Max: 35.11. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Overwrite123612182430SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 325.2825.3925.271. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Overwrite123612182430Min: 25.19 / Avg: 25.28 / Max: 25.36Min: 25.24 / Avg: 25.39 / Max: 25.52Min: 25.22 / Avg: 25.27 / Max: 25.321. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random Fill123816243240SE +/- 0.00, N = 3SE +/- 0.03, N = 335.135.035.01. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random Fill123816243240Min: 35.1 / Avg: 35.1 / Max: 35.1Min: 35 / Avg: 35.03 / Max: 35.11. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Fill123612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 325.2125.2725.261. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Fill123612182430Min: 25.17 / Avg: 25.21 / Max: 25.24Min: 25.26 / Avg: 25.27 / Max: 25.29Min: 25.21 / Avg: 25.26 / Max: 25.31. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Read1230.87121.74242.61363.48484.356SE +/- 0.051, N = 4SE +/- 0.063, N = 3SE +/- 0.049, N = 43.8723.8313.7931. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Read123246810Min: 3.72 / Avg: 3.87 / Max: 3.95Min: 3.71 / Avg: 3.83 / Max: 3.92Min: 3.69 / Avg: 3.79 / Max: 3.921. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek Random1231.00622.01243.01864.02485.031SE +/- 0.028, N = 3SE +/- 0.029, N = 3SE +/- 0.033, N = 34.4724.4444.4481. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek Random123246810Min: 4.44 / Avg: 4.47 / Max: 4.53Min: 4.4 / Avg: 4.44 / Max: 4.5Min: 4.4 / Avg: 4.45 / Max: 4.511. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Delete123612182430SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 324.2124.2024.331. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Delete123612182430Min: 24.19 / Avg: 24.21 / Max: 24.26Min: 24.11 / Avg: 24.2 / Max: 24.28Min: 24.25 / Avg: 24.33 / Max: 24.461. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential Fill123918273645SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 337.637.637.61. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential Fill123816243240Min: 37.5 / Avg: 37.63 / Max: 37.8Min: 37.4 / Avg: 37.57 / Max: 37.7Min: 37.4 / Avg: 37.57 / Max: 37.81. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential Fill123612182430SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 323.5223.5723.551. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential Fill123612182430Min: 23.44 / Avg: 23.52 / Max: 23.59Min: 23.48 / Avg: 23.57 / Max: 23.69Min: 23.42 / Avg: 23.55 / Max: 23.651. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsnappy -lpthread

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 6.0.16123100K200K300K400K500KSE +/- 943.95, N = 3SE +/- 1594.93, N = 3SE +/- 261.56, N = 3456189.33456624.73455618.291. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612380K160K240K320K400KMin: 454805.61 / Avg: 456189.33 / Max: 457993.46Min: 454078.1 / Avg: 456624.73 / Max: 459561.61Min: 455103.23 / Avg: 455618.29 / Max: 455955.061. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.11880.23760.35640.47520.594SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 30.5280.5270.5261. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark123246810Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.52 / Avg: 0.53 / Max: 0.531. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -pthread -lrt -lpthread -lm

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: SqueezeNet123100K200K300K400K500KSE +/- 25.24, N = 3SE +/- 41.16, N = 3SE +/- 16.05, N = 3473673473833473837
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet12380K160K240K320K400KMin: 473623 / Avg: 473673 / Max: 473704Min: 473754 / Avg: 473833.33 / Max: 473892Min: 473817 / Avg: 473837.33 / Max: 473869

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V41231.5M3M4.5M6M7.5MSE +/- 203.01, N = 3SE +/- 98.38, N = 3SE +/- 714.71, N = 3683189368331836832903
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V41231.2M2.4M3.6M4.8M6MMin: 6831620 / Avg: 6831893.33 / Max: 6832290Min: 6833080 / Avg: 6833183.33 / Max: 6833380Min: 6832030 / Avg: 6832903.33 / Max: 6834320

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile12370K140K210K280K350KSE +/- 84.78, N = 3SE +/- 71.63, N = 3SE +/- 58.71, N = 3336241336221336325
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile12360K120K180K240K300KMin: 336100 / Avg: 336240.67 / Max: 336393Min: 336095 / Avg: 336221.33 / Max: 336343Min: 336243 / Avg: 336325.33 / Max: 336439

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float12370K140K210K280K350KSE +/- 16.52, N = 3SE +/- 10.17, N = 3SE +/- 20.69, N = 3319307319420319423
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float12360K120K180K240K300KMin: 319280 / Avg: 319307 / Max: 319337Min: 319400 / Avg: 319420.33 / Max: 319431Min: 319385 / Avg: 319423.33 / Max: 319456

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant12370K140K210K280K350KSE +/- 14.66, N = 3SE +/- 28.59, N = 3SE +/- 20.08, N = 3324604324660324580
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant12360K120K180K240K300KMin: 324583 / Avg: 324603.67 / Max: 324632Min: 324604 / Avg: 324660.33 / Max: 324697Min: 324541 / Avg: 324580.33 / Max: 324607

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V21231.3M2.6M3.9M5.2M6.5MSE +/- 423.57, N = 3SE +/- 153.08, N = 3SE +/- 115.04, N = 3618053761820306182530
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V21231.1M2.2M3.3M4.4M5.5MMin: 6179700 / Avg: 6180536.67 / Max: 6181070Min: 6181770 / Avg: 6182030 / Max: 6182300Min: 6182410 / Avg: 6182530 / Max: 6182760

Tensorflow

This is a benchmark of the Tensorflow deep learning framework using the CIFAR10 data set. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTensorflowBuild: Cifar1012320406080100SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3104.56103.47103.97
OpenBenchmarking.orgSeconds, Fewer Is BetterTensorflowBuild: Cifar1012320406080100Min: 104.06 / Avg: 104.56 / Max: 104.81Min: 103.24 / Avg: 103.47 / Max: 103.76Min: 103.82 / Avg: 103.97 / Max: 104.17

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.857.877.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1233691215Min: 7.84 / Avg: 7.85 / Max: 7.86Min: 7.85 / Avg: 7.87 / Max: 7.88Min: 7.84 / Avg: 7.85 / Max: 7.871. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1233691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.2010.2110.211. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1233691215Min: 10.2 / Avg: 10.2 / Max: 10.21Min: 10.2 / Avg: 10.21 / Max: 10.21Min: 10.21 / Avg: 10.21 / Max: 10.221. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1231530456075SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 366.8666.8466.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1231326395265Min: 66.79 / Avg: 66.86 / Max: 66.9Min: 66.8 / Avg: 66.84 / Max: 66.91Min: 66.81 / Avg: 66.85 / Max: 66.891. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive123120240360480600SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.24, N = 3539.44539.56539.991. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive123100200300400500Min: 539.36 / Avg: 539.44 / Max: 539.5Min: 539.41 / Avg: 539.56 / Max: 539.7Min: 539.6 / Avg: 539.99 / Max: 540.421. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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: ETC1S1231632486480SE +/- 0.10, N = 3SE +/- 0.37, N = 3SE +/- 0.24, N = 372.3972.6072.551. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S1231428425670Min: 72.26 / Avg: 72.39 / Max: 72.59Min: 72.06 / Avg: 72.6 / Max: 73.3Min: 72.23 / Avg: 72.55 / Max: 73.031. (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 01233691215SE +/- 0.021, N = 3SE +/- 0.006, N = 3SE +/- 0.012, N = 39.6219.6109.6211. (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: 9.6 / Avg: 9.62 / Max: 9.66Min: 9.6 / Avg: 9.61 / Max: 9.62Min: 9.6 / Avg: 9.62 / Max: 9.651. (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 21231530456075SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 368.9468.9668.921. (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 21231326395265Min: 68.92 / Avg: 68.94 / Max: 68.96Min: 68.93 / Avg: 68.96 / Max: 69.02Min: 68.91 / Avg: 68.92 / Max: 68.931. (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 3123306090120150SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3135.64135.60135.601. (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 3123306090120150Min: 135.62 / Avg: 135.64 / Max: 135.66Min: 135.55 / Avg: 135.6 / Max: 135.62Min: 135.57 / Avg: 135.6 / Max: 135.621. (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-Processing1232004006008001000SE +/- 0.26, N = 3SE +/- 0.22, N = 3SE +/- 0.28, N = 3795.98795.60796.441. (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-Processing123140280420560700Min: 795.48 / Avg: 795.98 / Max: 796.35Min: 795.17 / Avg: 795.59 / Max: 795.92Min: 796.08 / Avg: 796.44 / Max: 796.991. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAP1231326395265SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 359.1759.1759.181. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAP1231224364860Min: 58.96 / Avg: 59.17 / Max: 59.3Min: 58.99 / Avg: 59.17 / Max: 59.29Min: 59.06 / Avg: 59.18 / Max: 59.261. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMA12370140210280350SE +/- 0.06, N = 3SE +/- 0.71, N = 3SE +/- 0.32, N = 3315.57317.21317.511. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMA12360120180240300Min: 315.46 / Avg: 315.57 / Max: 315.64Min: 315.83 / Avg: 317.21 / Max: 318.21Min: 316.94 / Avg: 317.51 / Max: 318.061. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFD12360120180240300SE +/- 1.50, N = 3SE +/- 0.73, N = 3SE +/- 1.13, N = 3297.81296.56294.091. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFD12350100150200250Min: 296.14 / Avg: 297.81 / Max: 300.81Min: 295.19 / Avg: 296.56 / Max: 297.7Min: 292.03 / Avg: 294.09 / Max: 295.921. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Atomic12350K100K150K200K250KSE +/- 2493.78, N = 15SE +/- 3420.27, N = 4SE +/- 2878.27, N = 5226219.12231774.62223485.531. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Atomic12340K80K120K160K200KMin: 214619.71 / Avg: 226219.12 / Max: 238652.55Min: 222130.24 / Avg: 231774.62 / Max: 237190Min: 217765.35 / Avg: 223485.53 / Max: 232872.471. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Crypto1232004006008001000SE +/- 0.22, N = 3SE +/- 0.36, N = 3SE +/- 0.61, N = 31075.231074.971074.411. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Crypto1232004006008001000Min: 1074.98 / Avg: 1075.23 / Max: 1075.66Min: 1074.29 / Avg: 1074.97 / Max: 1075.54Min: 1073.35 / Avg: 1074.41 / Max: 1075.471. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Malloc1235M10M15M20M25MSE +/- 21920.81, N = 3SE +/- 8737.36, N = 3SE +/- 69885.72, N = 324623926.5924563522.6624541822.181. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Malloc1234M8M12M16M20MMin: 24599489.75 / Avg: 24623926.59 / Max: 24667667.97Min: 24546351.76 / Avg: 24563522.66 / Max: 24574917.84Min: 24406438.51 / Avg: 24541822.18 / Max: 24639605.361. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: RdRand12330K60K90K120K150KSE +/- 1.17, N = 3SE +/- 0.66, N = 3SE +/- 0.90, N = 3155610.26155612.85155613.551. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: RdRand12330K60K90K120K150KMin: 155608.02 / Avg: 155610.26 / Max: 155611.96Min: 155611.59 / Avg: 155612.85 / Max: 155613.81Min: 155611.78 / Avg: 155613.55 / Max: 155614.671. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Forking1237001400210028003500SE +/- 32.57, N = 15SE +/- 31.27, N = 15SE +/- 31.54, N = 153156.373118.773189.511. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Forking1236001200180024003000Min: 3009.52 / Avg: 3156.37 / Max: 3322.99Min: 3009.71 / Avg: 3118.77 / Max: 3340.34Min: 3026.42 / Avg: 3189.51 / Max: 3342.81. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILE12312K24K36K48K60KSE +/- 55.72, N = 3SE +/- 61.32, N = 3SE +/- 28.77, N = 356270.0555946.2055948.261. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILE12310K20K30K40K50KMin: 56158.61 / Avg: 56270.05 / Max: 56326.41Min: 55835.92 / Avg: 55946.2 / Max: 56047.8Min: 55891.26 / Avg: 55948.26 / Max: 55983.591. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU Cache12348121620SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 317.9017.9617.961. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU Cache123510152025Min: 17.77 / Avg: 17.9 / Max: 18.17Min: 17.9 / Avg: 17.96 / Max: 18.07Min: 17.7 / Avg: 17.96 / Max: 18.271. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU Stress1235001000150020002500SE +/- 0.88, N = 3SE +/- 11.70, N = 3SE +/- 8.78, N = 32104.782125.332109.161. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU Stress123400800120016002000Min: 2103.34 / Avg: 2104.78 / Max: 2106.39Min: 2106.04 / Avg: 2125.33 / Max: 2146.44Min: 2098.05 / Avg: 2109.16 / Max: 2126.51. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Semaphores123160K320K480K640K800KSE +/- 7.37, N = 3SE +/- 235.73, N = 3SE +/- 504.64, N = 3748709.65748715.95748917.491. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Semaphores123130K260K390K520K650KMin: 748696.77 / Avg: 748709.65 / Max: 748722.29Min: 748262.14 / Avg: 748715.95 / Max: 749053.52Min: 748164.4 / Avg: 748917.49 / Max: 749875.951. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix Math1234K8K12K16K20KSE +/- 257.49, N = 3SE +/- 147.94, N = 3SE +/- 137.94, N = 319052.3019648.0319536.171. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix Math1233K6K9K12K15KMin: 18546.35 / Avg: 19052.3 / Max: 19388.41Min: 19405.99 / Avg: 19648.03 / Max: 19916.42Min: 19269.69 / Avg: 19536.17 / Max: 19731.221. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector Math1236K12K18K24K30KSE +/- 6.13, N = 3SE +/- 0.50, N = 3SE +/- 0.51, N = 329571.4629576.9329577.041. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector Math1235K10K15K20K25KMin: 29559.2 / Avg: 29571.46 / Max: 29577.79Min: 29576.05 / Avg: 29576.93 / Max: 29577.79Min: 29576.14 / Avg: 29577.04 / Max: 29577.91. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory Copying1232004006008001000SE +/- 3.82, N = 3SE +/- 2.18, N = 3SE +/- 8.61, N = 31104.461103.831098.091. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory Copying1232004006008001000Min: 1097.12 / Avg: 1104.46 / Max: 1109.98Min: 1101.03 / Avg: 1103.83 / Max: 1108.13Min: 1081.06 / Avg: 1098.09 / Max: 1108.831. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket Activity1238001600240032004000SE +/- 9.97, N = 3SE +/- 6.77, N = 3SE +/- 6.20, N = 33866.053881.773890.311. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket Activity1237001400210028003500Min: 3847.65 / Avg: 3866.05 / Max: 3881.91Min: 3870.99 / Avg: 3881.77 / Max: 3894.26Min: 3878.62 / Avg: 3890.31 / Max: 3899.761. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context Switching123300K600K900K1200K1500KSE +/- 1261.45, N = 3SE +/- 2897.50, N = 3SE +/- 1243.86, N = 31406958.081399980.241395920.411. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context Switching123200K400K600K800K1000KMin: 1405577.21 / Avg: 1406958.08 / Max: 1409477.08Min: 1394380.48 / Avg: 1399980.24 / Max: 1404071.82Min: 1393462 / Avg: 1395920.41 / Max: 1397479.311. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String Functions123120K240K360K480K600KSE +/- 3058.99, N = 3SE +/- 3442.20, N = 3SE +/- 3682.13, N = 3577641.20580683.61577297.241. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String Functions123100K200K300K400K500KMin: 574161.47 / Avg: 577641.2 / Max: 583738.92Min: 573808.69 / Avg: 580683.61 / Max: 584433.77Min: 572149.36 / Avg: 577297.24 / Max: 584431.741. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data Sorting1231632486480SE +/- 0.12, N = 3SE +/- 0.24, N = 3SE +/- 0.21, N = 370.2470.5670.451. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data Sorting1231428425670Min: 70.03 / Avg: 70.24 / Max: 70.43Min: 70.24 / Avg: 70.56 / Max: 71.03Min: 70.04 / Avg: 70.45 / Max: 70.71. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message Passing1231.1M2.2M3.3M4.4M5.5MSE +/- 7743.43, N = 3SE +/- 3446.34, N = 3SE +/- 3305.17, N = 34933452.504925362.224939510.541. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message Passing123900K1800K2700K3600K4500KMin: 4917999.31 / Avg: 4933452.5 / Max: 4942062.85Min: 4919186.02 / Avg: 4925362.22 / Max: 4931100.35Min: 4934061.92 / Avg: 4939510.54 / Max: 4945476.281. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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 +/- 0.027, N = 3SE +/- 0.017, N = 3SE +/- 0.026, N = 38.4618.4918.483MIN: 8.37 / MAX: 9.63MIN: 8.41 / MAX: 18.02MIN: 8.38 / MAX: 22.911. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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: 8.41 / Avg: 8.46 / Max: 8.51Min: 8.47 / Avg: 8.49 / Max: 8.52Min: 8.43 / Avg: 8.48 / Max: 8.511. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v2-501231020304050SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 343.0643.3343.09MIN: 42.77 / MAX: 57.76MIN: 43.03 / MAX: 90.1MIN: 42.64 / MAX: 54.971. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v2-50123918273645Min: 42.85 / Avg: 43.06 / Max: 43.34Min: 43.18 / Avg: 43.33 / Max: 43.47Min: 42.88 / Avg: 43.09 / Max: 43.231. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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_2241231.09642.19283.28924.38565.482SE +/- 0.008, N = 3SE +/- 0.012, N = 3SE +/- 0.015, N = 34.8504.8594.873MIN: 4.78 / MAX: 48.04MIN: 4.81 / MAX: 16.23MIN: 4.8 / MAX: 51.591. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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: 4.84 / Avg: 4.85 / Max: 4.87Min: 4.85 / Avg: 4.86 / Max: 4.88Min: 4.86 / Avg: 4.87 / Max: 4.91. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v1-1.0123246810SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.022, N = 36.3686.3676.373MIN: 6.33 / MAX: 19.68MIN: 6.31 / MAX: 20.19MIN: 6.3 / MAX: 20.981. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v1-1.01233691215Min: 6.36 / Avg: 6.37 / Max: 6.37Min: 6.36 / Avg: 6.37 / Max: 6.38Min: 6.33 / Avg: 6.37 / Max: 6.411. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v31231122334455SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.29, N = 348.9549.1648.84MIN: 48.75 / MAX: 63.24MIN: 48.82 / MAX: 62.91MIN: 47.97 / MAX: 62.661. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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-v31231020304050Min: 48.92 / Avg: 48.95 / Max: 49.01Min: 49.03 / Avg: 49.16 / Max: 49.24Min: 48.27 / Avg: 48.84 / Max: 49.191. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -std=c++11 -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: squeezenet123510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 321.3021.3921.30MIN: 21.19 / MAX: 21.56MIN: 21.21 / MAX: 30.63MIN: 21.07 / MAX: 21.651. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123510152025Min: 21.29 / Avg: 21.3 / Max: 21.31Min: 21.34 / Avg: 21.39 / Max: 21.44Min: 21.18 / Avg: 21.3 / Max: 21.381. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123714212835SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 328.0728.0427.96MIN: 27.95 / MAX: 35.8MIN: 27.71 / MAX: 28.43MIN: 27.81 / MAX: 28.551. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123612182430Min: 28.04 / Avg: 28.07 / Max: 28.11Min: 27.83 / Avg: 28.04 / Max: 28.16Min: 27.91 / Avg: 27.96 / Max: 28.011. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.717.737.72MIN: 7.67 / MAX: 7.78MIN: 7.68 / MAX: 8.51MIN: 7.65 / MAX: 8.391. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 7.71 / Avg: 7.71 / Max: 7.72Min: 7.72 / Avg: 7.73 / Max: 7.74Min: 7.69 / Avg: 7.72 / Max: 7.741. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.216.246.28MIN: 6.15 / MAX: 6.25MIN: 6.2 / MAX: 6.47MIN: 6.21 / MAX: 14.181. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31233691215Min: 6.18 / Avg: 6.21 / Max: 6.22Min: 6.22 / Avg: 6.24 / Max: 6.27Min: 6.24 / Avg: 6.28 / Max: 6.321. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21230.9631.9262.8893.8524.815SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.254.284.28MIN: 4.21 / MAX: 4.89MIN: 4.23 / MAX: 4.54MIN: 4.24 / MAX: 4.511. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810Min: 4.25 / Avg: 4.25 / Max: 4.25Min: 4.27 / Avg: 4.28 / Max: 4.28Min: 4.27 / Avg: 4.28 / Max: 4.31. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.276.306.30MIN: 6.23 / MAX: 6.32MIN: 6.26 / MAX: 6.61MIN: 6.27 / MAX: 6.741. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1233691215Min: 6.25 / Avg: 6.27 / Max: 6.29Min: 6.29 / Avg: 6.3 / Max: 6.32Min: 6.29 / Avg: 6.3 / Max: 6.311. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 310.2510.3010.30MIN: 10.21 / MAX: 10.48MIN: 10.25 / MAX: 10.71MIN: 10.27 / MAX: 11.161. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215Min: 10.24 / Avg: 10.25 / Max: 10.26Min: 10.28 / Avg: 10.3 / Max: 10.32Min: 10.3 / Avg: 10.3 / Max: 10.311. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.40950.8191.22851.6382.0475SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.811.821.82MIN: 1.79 / MAX: 1.93MIN: 1.79 / MAX: 1.99MIN: 1.79 / MAX: 2.011. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 1.81 / Avg: 1.81 / Max: 1.81Min: 1.81 / Avg: 1.82 / Max: 1.82Min: 1.81 / Avg: 1.82 / Max: 1.821. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123510152025SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 320.1520.2120.23MIN: 20.02 / MAX: 29.17MIN: 20.1 / MAX: 20.47MIN: 20.16 / MAX: 20.711. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123510152025Min: 20.1 / Avg: 20.15 / Max: 20.22Min: 20.19 / Avg: 20.21 / Max: 20.24Min: 20.23 / Avg: 20.23 / Max: 20.241. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612320406080100SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 390.6090.8290.67MIN: 90.03 / MAX: 97.22MIN: 90.09 / MAX: 96.17MIN: 90.02 / MAX: 99.711. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612320406080100Min: 90.43 / Avg: 90.6 / Max: 90.71Min: 90.5 / Avg: 90.82 / Max: 91.04Min: 90.41 / Avg: 90.67 / Max: 90.981. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123510152025SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 320.5620.6620.65MIN: 20.2 / MAX: 21.05MIN: 20.33 / MAX: 21.11MIN: 20.28 / MAX: 21.041. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123510152025Min: 20.5 / Avg: 20.56 / Max: 20.63Min: 20.6 / Avg: 20.66 / Max: 20.75Min: 20.6 / Avg: 20.65 / Max: 20.691. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 319.7819.9119.83MIN: 19.62 / MAX: 20.2MIN: 19.73 / MAX: 20.21MIN: 19.63 / MAX: 20.171. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123510152025Min: 19.76 / Avg: 19.78 / Max: 19.81Min: 19.9 / Avg: 19.91 / Max: 19.92Min: 19.74 / Avg: 19.83 / Max: 19.891. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231020304050SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 344.5744.6344.54MIN: 44.19 / MAX: 54.57MIN: 44.27 / MAX: 46.06MIN: 44.18 / MAX: 45.051. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123918273645Min: 44.47 / Avg: 44.57 / Max: 44.64Min: 44.59 / Avg: 44.63 / Max: 44.7Min: 44.51 / Avg: 44.54 / Max: 44.591. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123918273645SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 337.5337.6337.51MIN: 37.12 / MAX: 37.94MIN: 37.23 / MAX: 38.61MIN: 37.24 / MAX: 37.981. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123816243240Min: 37.29 / Avg: 37.53 / Max: 37.69Min: 37.41 / Avg: 37.63 / Max: 37.87Min: 37.44 / Avg: 37.51 / Max: 37.661. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -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 +/- 0.08, N = 3SE +/- 1.63, N = 3SE +/- 0.31, N = 3341.95344.76343.83MIN: 341.57 / MAX: 349.61MIN: 341.97 / MAX: 353.13MIN: 342.88 / MAX: 3501. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 341.8 / Avg: 341.95 / Max: 342.04Min: 342.29 / Avg: 344.76 / Max: 347.84Min: 343.48 / Avg: 343.83 / Max: 344.451. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112370140210280350SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3333.31334.25334.13MIN: 332.98 / MAX: 334.15MIN: 333.93 / MAX: 335.46MIN: 333.58 / MAX: 335.871. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300Min: 333.2 / Avg: 333.31 / Max: 333.53Min: 334.15 / Avg: 334.25 / Max: 334.36Min: 333.9 / Avg: 334.13 / Max: 334.381. (CXX) g++ options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative Entropy123918273645SE +/- 0.12, N = 3SE +/- 0.41, N = 3SE +/- 0.17, N = 338.7638.9738.79
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative Entropy123816243240Min: 38.6 / Avg: 38.76 / Max: 38.99Min: 38.3 / Avg: 38.97 / Max: 39.71Min: 38.51 / Avg: 38.79 / Max: 39.1

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed Gaussian123612182430SE +/- 0.34, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 323.3623.0923.03
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed Gaussian123510152025Min: 23.02 / Avg: 23.36 / Max: 24.04Min: 23.01 / Avg: 23.09 / Max: 23.13Min: 22.95 / Avg: 23.03 / Max: 23.12

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko Skyline12350100150200250SE +/- 0.67, N = 3SE +/- 0.54, N = 3SE +/- 0.51, N = 3248.41248.18248.94
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko Skyline12350100150200250Min: 247.22 / Avg: 248.41 / Max: 249.53Min: 247.13 / Avg: 248.18 / Max: 248.96Min: 248.34 / Avg: 248.94 / Max: 249.95

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian Changepoint1231530456075SE +/- 0.14, N = 3SE +/- 0.26, N = 3SE +/- 0.09, N = 369.4669.5969.58
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian Changepoint1231326395265Min: 69.32 / Avg: 69.46 / Max: 69.74Min: 69.12 / Avg: 69.59 / Max: 70.02Min: 69.41 / Avg: 69.58 / Max: 69.72

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: FLOAT12380M160M240M320M400MSE +/- 494092.12, N = 3SE +/- 309803.54, N = 3SE +/- 808932.46, N = 3392040366.37392085321.39392279317.441. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12370M140M210M280M350MMin: 391125075.84 / Avg: 392040366.37 / Max: 392820600.42Min: 391612589.11 / Avg: 392085321.39 / Max: 392668570.58Min: 390981770.22 / Avg: 392279317.44 / Max: 393764986.251. (CC) gcc options: -O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -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: CPU123246810SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 38.178.098.25
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPU1233691215Min: 8.15 / Avg: 8.17 / Max: 8.2Min: 7.96 / Avg: 8.09 / Max: 8.22Min: 8.2 / Avg: 8.25 / Max: 8.32

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 Commands1231224364860SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 353.0252.9353.021. git version 2.23.0
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git Commands1231122334455Min: 52.92 / Avg: 53.02 / Max: 53.12Min: 52.73 / Avg: 52.93 / Max: 53.05Min: 52.8 / Avg: 53.02 / Max: 53.281. git version 2.23.0

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 0.22.1123246810SE +/- 0.118, N = 5SE +/- 0.019, N = 3SE +/- 0.028, N = 38.8238.6648.676
OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.11233691215Min: 8.6 / Avg: 8.82 / Max: 9.17Min: 8.64 / Avg: 8.66 / Max: 8.7Min: 8.64 / Avg: 8.68 / Max: 8.73

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis1230.49010.98021.47031.96042.4505SE +/- 0.008, N = 3SE +/- 0.031, N = 4SE +/- 0.011, N = 32.1692.1692.178MIN: 2.01 / MAX: 2.77MIN: 1.94 / MAX: 2.74MIN: 2.04 / MAX: 2.7
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis123246810Min: 2.15 / Avg: 2.17 / Max: 2.18Min: 2.09 / Avg: 2.17 / Max: 2.23Min: 2.16 / Avg: 2.18 / Max: 2.2

171 Results Shown

PostMark
C-Blosc
LeelaChessZero:
  BLAS
  Eigen
Rodinia:
  OpenMP LavaMD
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
NAMD
Dolfyn
SMHasher:
  wyhash:
    MiB/sec
    cycles/hash
  MeowHash:
    MiB/sec
    cycles/hash
  Spooky32:
    MiB/sec
    cycles/hash
  fasthash32:
    MiB/sec
    cycles/hash
  t1ha2_atonce:
    MiB/sec
    cycles/hash
  t1ha0_aes_avx2:
    MiB/sec
    cycles/hash
Algebraic Multi-Grid Benchmark
FFTE
Timed HMMer Search
Incompact3D
Monte Carlo Simulations of Ionised Nebulae
LAMMPS Molecular Dynamics Simulator
LULESH
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
BYTE Unix Benchmark
Zstd Compression:
  3
  19
Botan:
  KASUMI
  AES-256
  Twofish
  Blowfish
  CAST-256
LibRaw
John The Ripper:
  Blowfish
  MD5
oneDNN:
  IP Batch 1D - f32 - CPU
  IP Batch All - f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
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 4 - 1080p
  Enc Mode 8 - 1080p
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
VP9 libvpx Encoding:
  Speed 0
  Speed 5
x264
Intel Open Image Denoise
OpenVKL
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
7-Zip Compression
libavif avifenc:
  0
  2
  8
  10
Timed Apache Compilation
Timed Linux Kernel Compilation
Timed MPlayer Compilation
Timed PHP Compilation
rays1bench
Numpy Benchmark
DeepSpeech
eSpeak-NG Speech Engine
RNNoise
Tachyon
LevelDB:
  Hot Read
  Fill Sync
  Fill Sync
  Overwrite
  Overwrite
  Rand Fill
  Rand Fill
  Rand Read
  Seek Rand
  Rand Delete
  Seq Fill
  Seq Fill
KeyDB
GROMACS
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
Tensorflow
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
Basis Universal:
  ETC1S
  UASTC Level 0
  UASTC Level 2
  UASTC Level 3
  UASTC Level 2 + RDO Post-Processing
Stress-NG:
  MMAP
  NUMA
  MEMFD
  Atomic
  Crypto
  Malloc
  RdRand
  Forking
  SENDFILE
  CPU Cache
  CPU Stress
  Semaphores
  Matrix Math
  Vector Math
  Memory Copying
  Socket Activity
  Context Switching
  Glibc C String Functions
  Glibc Qsort Data Sorting
  System V Message Passing
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
Numenta Anomaly Benchmark:
  Relative Entropy
  Windowed Gaussian
  Earthgecko Skyline
  Bayesian Changepoint
Hierarchical INTegration
NeatBench
Git
Scikit-Learn
Sunflow Rendering System