Core i7 4960X Intel 2020

Intel Core i7-4960X testing with a MSI X79MA-GD45 (MS-7738) v1.0 (V3.8 BIOS) and AMD FirePro V4800 1GB on Ubuntu 19.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010198-FI-COREI749648
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Linux 5.3
October 16 2020
  23 Hours, 22 Minutes
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October 17 2020
  23 Hours, 48 Minutes
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October 18 2020
  23 Hours, 39 Minutes
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Linux 5.3

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x42e
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)
Python Notes: Python 2.7.17 + Python 3.7.5
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

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Processor: Intel Core i7-4960X @ 4.00GHz (6 Cores / 12 Threads), Motherboard: MSI X79MA-GD45 (MS-7738) v1.0 (V3.8 BIOS), Chipset: Intel Xeon E7 v2/Xeon, Memory: 8GB, Disk: VisionTek 240GB, Graphics: AMD FirePro V4800 1GB, Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 19.10, Kernel: 5.3.0-40-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0.0), Compiler: GCC 9.2.1 20191008, File-System: zfs, Screen Resolution: 1920x1080

Core i7 4960X Intel 2020ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionLinux 5.323Intel Core i7-4960X @ 4.00GHz (6 Cores / 12 Threads)MSI X79MA-GD45 (MS-7738) v1.0 (V3.8 BIOS)Intel Xeon E7 v2/Xeon8GBVisionTek 240GBAMD FirePro V4800 1GBRealtek ALC892DELL S2409WRealtek RTL8111/8168/8411Ubuntu 19.105.3.0-40-generic (x86_64)GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.53.3 Mesa 19.2.8 (LLVM 9.0.0)GCC 9.2.1 20191008zfs1920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x42eGraphics Details- GLAMORJava Details- OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)Python Details- Python 2.7.17 + Python 3.7.5Security Details- itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Linux 5.323Result OverviewPhoronix Test Suite100%103%106%109%113%G'MICApache CassandraDaCapo BenchmarkMlpack BenchmarkOSBenchBYTE Unix BenchmarkNeatBenchDarmstadt Automotive Parallel Heterogeneous SuiteSockperfIncompact3DEmbreeLULESHTimed LLVM CompilationNumenta Anomaly BenchmarkKeyDBGROMACSoneDNNInfluxDBRNNoiseGLmark2x265Montage Astronomical Image Mosaic EngineOCRMyPDFLAMMPS Molecular Dynamics SimulatorHuginLevelDBSystem GZIP DecompressionNAMDBuild2Chaos Group V-RAYIntel Open Image DenoiseNCNNTimed Linux Kernel CompilationTNNBotanTimed Apache CompilationPyPerformanceMonte Carlo Simulations of Ionised NebulaeGNU Octave BenchmarkHierarchical INTegrationStress-NGNAS Parallel Benchmarkslibavif avifencBRL-CADAlgebraic Multi-Grid BenchmarkRawTherapeeTesseract OCRCrypto++SMHasherFFTE7-Zip CompressionTimed HMMer SearchRodiniaGitDolfynLibRawKvazaarWebP Image EncodeBasis UniversaleSpeak-NG Speech EngineZstd Compressionlzbenchdav1dTensorFlow LiteCaffeSVT-AV1YafaRayLuxCoreRenderOpenVKL

Core i7 4960X Intel 2020mlpack: scikit_icadaphne: OpenMP - Points2Imageonednn: Recurrent Neural Network Inference - f32 - CPUstress-ng: CPU Cachemlpack: scikit_linearridgeregressionnumenta-nab: Relative Entropyonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUosbench: Create Threadsonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUinfluxdb: 64 - 10000 - 2,5000,1 - 10000embree: Pathtracer - Crownstress-ng: NUMAembree: Pathtracer ISPC - Asian Dragon Objdacapobench: H2embree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragon Objnumenta-nab: Windowed Gaussianbyte: Dhrystone 2leveldb: Seq Fillleveldb: Seq Fillncnn: CPU - resnet18neatbench: CPUleveldb: Overwritecassandra: Writesleveldb: Overwriteleveldb: Rand Readinfluxdb: 1024 - 10000 - 2,5000,1 - 10000incompact3d: Cylindernpb: EP.Cstress-ng: Atomicstress-ng: Socket Activityx265: Bosphorus 4Kosbench: Launch Programsncnn: CPU - efficientnet-b0pyperformance: python_startuplulesh: stress-ng: Memory Copyingleveldb: Seek Randosbench: Memory Allocationsleveldb: Hot Readncnn: CPU - shufflenet-v2ncnn: CPU - googlenetpyperformance: chaoskeydb: stress-ng: Context Switchingsmhasher: wyhashncnn: CPU - alexnetgromacs: Water Benchmarkpyperformance: django_templatestress-ng: System V Message Passingrnnoise: ncnn: CPU - blazefacenpb: MG.Cglmark2: 1920 x 1080botan: AES-256leveldb: Rand Deleteembree: Pathtracer - Asian Dragononednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUmontage: Mosaic of M17, K band, 1.5 deg x 1.5 degpyperformance: crypto_pyaesncnn: CPU - vgg16stress-ng: MEMFDonednn: Deconvolution Batch deconv_3d - f32 - CPUosbench: Create Processesdacapobench: Jythonncnn: CPU - squeezenetgmic: Plotting Isosurface Of A 3D Volume, 1000 Timesstress-ng: Glibc Qsort Data Sortingstress-ng: CPU Stressncnn: CPU - mnasnetonednn: IP Batch 1D - f32 - CPUstress-ng: Matrix Mathncnn: CPU - yolov4-tinyncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - resnet50ocrmypdf: Processing 60 Page PDF Documentavifenc: 0webp: Defaultstress-ng: SENDFILEncnn: CPU - mobilenetstress-ng: Glibc C String Functionsncnn: CPU-v3-v3 - mobilenet-v3lammps: Rhodopsin Proteinnumenta-nab: Bayesian Changepointbasis: ETC1Spyperformance: pathlibnpb: LU.Cstress-ng: Forkinghugin: Panorama Photo Assistant + Stitching Timeavifenc: 8avifenc: 2lzbench: Libdeflate 1 - Compressionrodinia: OpenMP CFD Solverdav1d: Chimera 1080p 10-bitmlpack: scikit_qdasystem-decompress-gzip: x265: Bosphorus 1080pnamd: ATPase Simulation - 327,506 Atomskvazaar: Bosphorus 1080p - Ultra Fastonednn: IP Batch All - f32 - CPUnpb: SP.Bnpb: BT.Cv-ray: CPUpyperformance: regex_compileoidn: Memorialbuild2: Time To Compilebuild-linux-kernel: Time To Compileleveldb: Rand Fillkvazaar: Bosphorus 1080p - Mediummocassin: Dust 2D tau100.0webp: Quality 100, Highest Compressionnumenta-nab: Earthgecko Skylinesockperf: Latency Ping Pongtnn: CPU - MobileNet v2embree: Pathtracer ISPC - Asian Dragonlzbench: Brotli 2 - Decompressionbuild-apache: Time To Compilepyperformance: json_loadssmhasher: Spooky32pyperformance: pickle_pure_pythonrodinia: OpenMP HotSpot3Doctave-benchmark: tensorflow-lite: Inception V4hint: FLOATcryptopp: Unkeyed Algorithmsrodinia: OpenMP Leukocyteonednn: Recurrent Neural Network Training - f32 - CPUwebp: Quality 100, Lossless, Highest Compressionbotan: CAST-256lzbench: Brotli 0 - Compressionbasis: UASTC Level 0botan: KASUMIbuild-llvm: Time To Compilecaffe: AlexNet - CPU - 100dav1d: Chimera 1080psvt-av1: Enc Mode 8 - 1080pnpb: EP.Dcaffe: AlexNet - CPU - 200cryptopp: Integer + Elliptic Curve Public Key Algorithmsyafaray: Total Time For Sample Scenepyperformance: 2to3brl-cad: VGR Performance Metricstress-ng: Cryptocaffe: GoogleNet - CPU - 200amg: smhasher: Spooky32tesseract-ocr: Time To OCR 7 Imagesonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUlzbench: Brotli 0 - Decompressionrawtherapee: Total Benchmark Timebotan: Blowfishstress-ng: MMAPonednn: Deconvolution Batch deconv_1d - f32 - CPUffte: N=256, 3D Complex FFT Routinecompress-7zip: Compress Speed Testcompress-zstd: 3pyperformance: raytracewebp: Quality 100onednn: Convolution Batch Shapes Auto - f32 - CPUrodinia: OpenMP LavaMDavifenc: 10basis: UASTC Level 2daphne: OpenMP - Euclidean Clusterdolfyn: Computational Fluid Dynamicscaffe: GoogleNet - CPU - 100kvazaar: Bosphorus 1080p - Very Fastdav1d: Summer Nature 1080plibraw: Post-Processing Benchmarkdaphne: OpenMP - NDT Mappingbotan: Twofishtensorflow-lite: Inception ResNet V2tnn: CPU - SqueezeNet v1.1cryptopp: Keyed Algorithmsonednn: IP Batch All - u8s8f32 - CPUstress-ng: Mallocgit: Time To Complete Common Git Commandsdav1d: Summer Nature 4Kstress-ng: Semaphoresmlpack: scikit_svmbasis: UASTC Level 2 + RDO Post-Processinggmic: 3D Elevated Function In Rand Colors, 100 Timeswebp: Quality 100, Losslessespeak: Text-To-Speech Synthesisstress-ng: Vector Mathtensorflow-lite: Mobilenet Quanthmmer: Pfam Database Searchtensorflow-lite: SqueezeNetsmhasher: fasthash32smhasher: t1ha2_atoncetensorflow-lite: NASNet Mobilerodinia: OpenMP Streamclusterbasis: UASTC Level 3smhasher: fasthash32tensorflow-lite: Mobilenet Floatsmhasher: wyhashstress-ng: RdRandsmhasher: t1ha2_atoncekvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Slowpyperformance: nbodypyperformance: floatpyperformance: goleveldb: Rand Fillluxcorerender: Rainbow Colors and Prismluxcorerender: DLSCopenvkl: vklBenchmarksvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 0 - 1080pcompress-zstd: 19lzbench: Libdeflate 1 - Decompressionlzbench: Brotli 2 - Compressionlzbench: Crush 0 - Decompressionlzbench: Crush 0 - Compressionlzbench: Zstd 8 - Decompressionlzbench: Zstd 8 - Compressionlzbench: Zstd 1 - Decompressionlzbench: Zstd 1 - Compressionlzbench: XZ 0 - Decompressionlzbench: XZ 0 - Compressioninfluxdb: 4 - 10000 - 2,5000,1 - 10000cassandra: Readsgmic: 2D Function Plotting, 1000 Timesleveldb: Fill Syncleveldb: Fill Synconednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUosbench: Create Filessockperf: Latency Under Loadsockperf: ThroughputLinux 5.32367.9120806.464567129428.18122.666.3250.56962.483716.3801517.87420970864.65.7470126.286.785440396.22596.048523.42833205805.2152.4388.737.127.069.122156145.7895.8971051454.3621.246725619.39204460.572630.956.4351.690737112.4213.2638.73039708.508.824100.7569635.9845.6937.00163257477.281659533.1813679.9026.950.35297.26285917.1026.0962.024757.77847736.311165.6816.671417.1972107.339135357.05328.0636.729229.060046600941.8425.44683.532547.1397.5813.192023671.8391.7312.9778.7449.813209.6911.7662666.0143.49546526.1351.983.74174.84473.08138.512432.2644899.2276.1368.928124.05620358.72072.91120.153.25625.183.1314417.34146.7512801.3110336.6659152582.60204.210165.062146.6922.912948.642259.4138.002325.4257.713863333.57533.211164.27682133.93111.2805489240333392595.35533289.764164255.4451518.6944.229106.55740610.66077.7701226.87371683286.730.871620.571435603706.428226275.734473597691236.0133156374835.8157.88730.1868.7328354191.295266.51386.8624.784717940.299469561297021743.76792.71938.4914553.5878.26858.721863.3823.5261659727.96272.3625.79431.94232.5474961647297.131462.280764109.72235069017.9664.04672.76960900.3313.73868.25875.97020.67138.97339289.17264321143.95237480943.92711253.1231118536.593113.0095993.4625799034.200185838.8144.2614.411.962.910.650.651571513449.10.800.7260.960.1640.0118.697216245485114774108940110734900526.419113200.5132391.0490.619.39168.63063166.99886219.24533897678.7819476.692270906451.35921.526.5052.81363.974116.9658668.13732991803.85.7201130.146.743839326.22746.103323.52233059413.0156.0408.537.897.108.921672149.0055.9561029071.5613.196289607.03203089.522603.186.4352.404404112.9013.1648.44167699.268.820102.0062775.9945.6737.46164256466.801640248.8613823.3827.260.34998.06350040.2726.2082.034804.80839742.849167.1336.701917.2426107.374135357.63328.3936.874728.860569596941.8425.44784.082563.7398.2113.107423605.4191.8212.9078.2649.519210.0661.7582655.3443.60543539.7251.973.74374.62073.46738.512376.7745129.6875.8388.973124.32020359.00873.26120.423.25725.293.1332517.41147.3352811.1810305.3959382592.60204.024165.611146.1862.922938.671260.2767.976324.8407.689263233.58233.311131.32684134.32211.3125488960334295678.01061290.381722255.5871518.3544.169106.82340710.63677.9591229.79471852286.060.871621.051438113714.477888275.213473596651236.1233089074843.3257.77230.1308.7166354091.462266.77686.7224.744917969.033280252296551741.26802.71638.4620553.5988.27458.734862.3023.5191659917.97272.4825.77431.77232.7044963143297.256462.569484109.82935040588.3564.04072.73960119.6613.73867.77075.93720.65738.98839291.85264281144.03337492543.91711255.9831127936.599113.0185994.0425793834.194185841.6644.2624.411.962.910.650.651571513449.10.800.7260.960.1640.0118.697216245485114774108940110734904292.016512243.6902186.9460.619.60268.65384167.42366433842967.8320582.961333331454.85422.166.2051.14564.758216.5994967.964801001969.75.5764126.986.590440296.06695.948124.01633874925.9155.8188.537.986.949.022018147.5345.8281039980.0626.255493607.33200592.592650.596.3251.592191111.1613.0645.47531709.538.949100.6082695.9175.6237.21165254471.411645592.4913840.2627.030.35398.26349001.1026.3592.044796.67840739.709166.7626.644117.3336108.158136359.65330.4336.986528.924147598242.1225.61683.552555.2897.6113.127923524.5492.3012.9878.4649.603208.8661.7562670.4343.36545105.2851.703.72375.01573.32038.712440.7045082.0176.2238.957124.67320458.86173.03120.723.27125.283.1444717.41147.0352812.3610296.4059212582.61204.789165.672146.5152.922938.654260.2497.986325.8867.707363433.48133.311153.05682134.05911.3035504107333884203.29108290.541302254.9041522.3044.281106.72540710.63477.9381227.17571828286.130.869621.991434953711.730349275.141474597911233.5433097574691.7957.80230.1708.7314954191.295266.29186.8624.764617951.560369010296971741.06802.72038.5167552.8188.26358.799862.2723.4961657827.97272.6825.80432.26232.7964966910297.429462.736519109.79535071564.9964.09472.79960296.4713.74867.64475.99020.65838.96339269.62264172143.99837499343.90711257.8831114936.608113.0425995.1625798434.194185835.0744.2624.411.962.910.650.651571513449.10.800.7260.960.1640.0118.697216245485114774108940110734909744.916617284.0742383.0870.619.01589.01427206.634791325160OpenBenchmarking.org

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.32320406080100SE +/- 0.91, N = 5SE +/- 1.04, N = 4SE +/- 0.96, N = 467.9178.7867.83
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.3231530456075Min: 66.56 / Avg: 67.91 / Max: 71.38Min: 75.71 / Avg: 78.78 / Max: 80.35Min: 66.54 / Avg: 67.83 / Max: 70.67

Darmstadt Automotive Parallel Heterogeneous Suite

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

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageLinux 5.3234K8K12K16K20KSE +/- 245.75, N = 6SE +/- 76.28, N = 3SE +/- 204.38, N = 820806.4619476.6920582.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageLinux 5.3234K8K12K16K20KMin: 19592.73 / Avg: 20806.46 / Max: 21124.01Min: 19329.65 / Avg: 19476.69 / Max: 19585.44Min: 19172.64 / Avg: 20582.96 / Max: 20931.671. (CXX) g++ options: -O3 -std=c++11 -fopenmp

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPULinux 5.323100200300400500SE +/- 1.36, N = 3SE +/- 1.71, N = 3SE +/- 0.09, N = 3428.18451.36454.85MIN: 423.12MIN: 446.84MIN: 452.761. (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: CPULinux 5.32380160240320400Min: 426.07 / Avg: 428.18 / Max: 430.73Min: 447.96 / Avg: 451.36 / Max: 453.38Min: 454.68 / Avg: 454.85 / Max: 454.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: CPU CacheLinux 5.323510152025SE +/- 0.21, N = 15SE +/- 0.27, N = 15SE +/- 0.30, N = 522.6621.5222.161. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheLinux 5.323510152025Min: 21.13 / Avg: 22.66 / Max: 24Min: 19.37 / Avg: 21.52 / Max: 23.4Min: 21.37 / Avg: 22.16 / Max: 23.071. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.323246810SE +/- 0.04, N = 3SE +/- 0.07, N = 15SE +/- 0.02, N = 36.326.506.20
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.3233691215Min: 6.24 / Avg: 6.32 / Max: 6.39Min: 6.18 / Avg: 6.5 / Max: 7.05Min: 6.16 / Avg: 6.2 / Max: 6.23

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 EntropyLinux 5.3231224364860SE +/- 0.17, N = 3SE +/- 0.35, N = 3SE +/- 0.48, N = 950.5752.8151.15
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyLinux 5.3231122334455Min: 50.22 / Avg: 50.57 / Max: 50.76Min: 52.13 / Avg: 52.81 / Max: 53.28Min: 48.92 / Avg: 51.15 / Max: 53.62

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPULinux 5.3231428425670SE +/- 0.69, N = 15SE +/- 0.01, N = 3SE +/- 0.81, N = 362.4863.9764.76MIN: 57.7MIN: 63.19MIN: 63.531. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPULinux 5.3231326395265Min: 57.91 / Avg: 62.48 / Max: 64.25Min: 63.95 / Avg: 63.97 / Max: 63.99Min: 63.93 / Avg: 64.76 / Max: 66.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create ThreadsLinux 5.32348121620SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 316.3816.9716.601. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create ThreadsLinux 5.32348121620Min: 16.24 / Avg: 16.38 / Max: 16.62Min: 16.65 / Avg: 16.97 / Max: 17.18Min: 16.44 / Avg: 16.6 / Max: 16.831. (CC) gcc options: -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPULinux 5.323246810SE +/- 0.08661, N = 15SE +/- 0.02645, N = 3SE +/- 0.09334, N = 157.874208.137327.96480MIN: 7.06MIN: 7.83MIN: 6.781. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPULinux 5.3233691215Min: 7.36 / Avg: 7.87 / Max: 8.13Min: 8.11 / Avg: 8.14 / Max: 8.19Min: 7.1 / Avg: 7.96 / Max: 8.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

InfluxDB

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

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.323200K400K600K800K1000KSE +/- 10965.48, N = 3SE +/- 2803.79, N = 3SE +/- 7515.99, N = 3970864.6991803.81001969.7
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.323200K400K600K800K1000KMin: 949476.7 / Avg: 970864.63 / Max: 985758.9Min: 986749.7 / Avg: 991803.83 / Max: 996434.6Min: 987074.9 / Avg: 1001969.7 / Max: 1011171.8

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: CrownLinux 5.3231.29312.58623.87935.17246.4655SE +/- 0.0117, N = 3SE +/- 0.0132, N = 3SE +/- 0.0204, N = 35.74705.72015.5764MIN: 5.69 / MAX: 5.85MIN: 5.67 / MAX: 5.82MIN: 5.5 / MAX: 5.69
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownLinux 5.323246810Min: 5.72 / Avg: 5.75 / Max: 5.76Min: 5.7 / Avg: 5.72 / Max: 5.74Min: 5.54 / Avg: 5.58 / Max: 5.6

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: NUMALinux 5.323306090120150SE +/- 0.78, N = 3SE +/- 0.84, N = 3SE +/- 0.81, N = 3126.28130.14126.981. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMALinux 5.32320406080100Min: 124.73 / Avg: 126.28 / Max: 127.18Min: 128.47 / Avg: 130.14 / Max: 130.98Min: 126.01 / Avg: 126.98 / Max: 128.581. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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 ISPC - Model: Asian Dragon ObjLinux 5.323246810SE +/- 0.0056, N = 3SE +/- 0.0093, N = 3SE +/- 0.0050, N = 36.78546.74386.5904MIN: 6.75 / MAX: 6.9MIN: 6.68 / MAX: 6.88MIN: 6.54 / MAX: 6.72
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjLinux 5.3233691215Min: 6.78 / Avg: 6.79 / Max: 6.8Min: 6.73 / Avg: 6.74 / Max: 6.76Min: 6.58 / Avg: 6.59 / Max: 6.6

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Linux 5.3239001800270036004500SE +/- 36.67, N = 20SE +/- 53.08, N = 4SE +/- 43.29, N = 4403939324029
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Linux 5.3237001400210028003500Min: 3734 / Avg: 4039.05 / Max: 4407Min: 3785 / Avg: 3932 / Max: 4031Min: 3939 / Avg: 4028.5 / Max: 4147

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 ISPC - Model: CrownLinux 5.323246810SE +/- 0.0180, N = 3SE +/- 0.0150, N = 3SE +/- 0.0047, N = 36.22596.22746.0669MIN: 6.17 / MAX: 6.35MIN: 6.17 / MAX: 6.35MIN: 5.99 / MAX: 6.2
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownLinux 5.323246810Min: 6.21 / Avg: 6.23 / Max: 6.26Min: 6.21 / Avg: 6.23 / Max: 6.26Min: 6.06 / Avg: 6.07 / Max: 6.07

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjLinux 5.323246810SE +/- 0.0351, N = 3SE +/- 0.0060, N = 3SE +/- 0.0259, N = 36.04856.10335.9481MIN: 5.93 / MAX: 6.15MIN: 6.04 / MAX: 6.22MIN: 5.88 / MAX: 6.11
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjLinux 5.323246810Min: 5.98 / Avg: 6.05 / Max: 6.09Min: 6.1 / Avg: 6.1 / Max: 6.12Min: 5.91 / Avg: 5.95 / Max: 6

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianLinux 5.323612182430SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.35, N = 323.4323.5224.02
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianLinux 5.323612182430Min: 23.32 / Avg: 23.43 / Max: 23.54Min: 23.32 / Avg: 23.52 / Max: 23.92Min: 23.53 / Avg: 24.02 / Max: 24.7

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 2Linux 5.3237M14M21M28M35MSE +/- 409038.01, N = 12SE +/- 408160.90, N = 12SE +/- 431967.21, N = 533205805.233059413.033874925.9
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.3236M12M18M24M30MMin: 30124755.7 / Avg: 33205805.17 / Max: 34271314.3Min: 30128764.9 / Avg: 33059412.98 / Max: 34318043.8Min: 32147076.2 / Avg: 33874925.9 / Max: 34311645.8

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillLinux 5.323306090120150SE +/- 0.21, N = 3SE +/- 1.28, N = 3SE +/- 0.61, N = 3152.44156.04155.821. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillLinux 5.323306090120150Min: 152.1 / Avg: 152.44 / Max: 152.81Min: 153.79 / Avg: 156.04 / Max: 158.21Min: 154.85 / Avg: 155.82 / Max: 156.941. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillLinux 5.323246810SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 38.78.58.51. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillLinux 5.3233691215Min: 8.7 / Avg: 8.7 / Max: 8.7Min: 8.4 / Avg: 8.5 / Max: 8.6Min: 8.5 / Avg: 8.53 / Max: 8.61. (CXX) g++ options: -O3 -lsnappy -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.323918273645SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 337.1237.8937.98MIN: 35.76 / MAX: 59.15MIN: 37.12 / MAX: 46.05MIN: 35.42 / MAX: 61.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.323816243240Min: 36.38 / Avg: 37.12 / Max: 37.85Min: 37.78 / Avg: 37.89 / Max: 37.96Min: 37.51 / Avg: 37.98 / Max: 38.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: CPULinux 5.323246810SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 37.067.106.94
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPULinux 5.3233691215Min: 6.98 / Avg: 7.06 / Max: 7.19Min: 7.05 / Avg: 7.1 / Max: 7.14Min: 6.82 / Avg: 6.94 / Max: 7.03

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.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.3233691215SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 39.18.99.01. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.3233691215Min: 9.1 / Avg: 9.1 / Max: 9.1Min: 8.8 / Avg: 8.93 / Max: 9.1Min: 8.9 / Avg: 9 / Max: 9.11. (CXX) g++ options: -O3 -lsnappy -lpthread

Apache Cassandra

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

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesLinux 5.3235K10K15K20K25KSE +/- 196.83, N = 3SE +/- 171.94, N = 14SE +/- 202.09, N = 3221562167222018
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesLinux 5.3234K8K12K16K20KMin: 21765 / Avg: 22156 / Max: 22391Min: 20380 / Avg: 21671.57 / Max: 22514Min: 21713 / Avg: 22017.67 / Max: 22400

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: OverwriteLinux 5.323306090120150SE +/- 0.27, N = 3SE +/- 1.36, N = 3SE +/- 1.03, N = 3145.79149.01147.531. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.323306090120150Min: 145.45 / Avg: 145.79 / Max: 146.33Min: 146.34 / Avg: 149 / Max: 150.81Min: 146.01 / Avg: 147.53 / Max: 149.491. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadLinux 5.3231.34012.68024.02035.36046.7005SE +/- 0.058, N = 3SE +/- 0.077, N = 5SE +/- 0.067, N = 35.8975.9565.8281. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadLinux 5.323246810Min: 5.78 / Avg: 5.9 / Max: 5.97Min: 5.74 / Avg: 5.96 / Max: 6.16Min: 5.7 / Avg: 5.83 / Max: 5.91. (CXX) g++ options: -O3 -lsnappy -lpthread

InfluxDB

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

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.323200K400K600K800K1000KSE +/- 8454.54, N = 3SE +/- 6863.89, N = 3SE +/- 15644.14, N = 31051454.31029071.51039980.0
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.323200K400K600K800K1000KMin: 1034548.9 / Avg: 1051454.33 / Max: 1060211.4Min: 1019962.4 / Avg: 1029071.53 / Max: 1042520.3Min: 1016505.1 / Avg: 1039979.97 / Max: 1069631.5

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: CylinderLinux 5.323140280420560700SE +/- 9.64, N = 3SE +/- 3.47, N = 3SE +/- 5.55, N = 3621.25613.20626.261. (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: CylinderLinux 5.323110220330440550Min: 610.68 / Avg: 621.25 / Max: 640.5Min: 608.59 / Avg: 613.2 / Max: 620Min: 615.26 / Avg: 626.26 / Max: 633.071. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CLinux 5.323130260390520650SE +/- 6.77, N = 3SE +/- 9.90, N = 3SE +/- 0.32, N = 3619.39607.03607.331. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CLinux 5.323110220330440550Min: 605.92 / Avg: 619.39 / Max: 627.24Min: 589.04 / Avg: 607.03 / Max: 623.17Min: 606.82 / Avg: 607.33 / Max: 607.911. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

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: AtomicLinux 5.32340K80K120K160K200KSE +/- 2400.41, N = 15SE +/- 2446.96, N = 15SE +/- 2384.63, N = 15204460.57203089.52200592.591. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicLinux 5.32340K80K120K160K200KMin: 189263.07 / Avg: 204460.57 / Max: 217619.34Min: 189248.99 / Avg: 203089.52 / Max: 217662.65Min: 189282.32 / Avg: 200592.59 / Max: 217564.651. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityLinux 5.3236001200180024003000SE +/- 22.16, N = 3SE +/- 21.52, N = 3SE +/- 24.29, N = 32630.952603.182650.591. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityLinux 5.3235001000150020002500Min: 2586.82 / Avg: 2630.95 / Max: 2656.49Min: 2560.96 / Avg: 2603.18 / Max: 2631.5Min: 2603.22 / Avg: 2650.59 / Max: 2683.621. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KLinux 5.323246810SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 36.436.436.321. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KLinux 5.3233691215Min: 6.36 / Avg: 6.43 / Max: 6.52Min: 6.35 / Avg: 6.43 / Max: 6.5Min: 6.26 / Avg: 6.32 / Max: 6.411. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch ProgramsLinux 5.3231224364860SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.04, N = 351.6952.4051.591. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch ProgramsLinux 5.3231020304050Min: 51.54 / Avg: 51.69 / Max: 51.94Min: 51.99 / Avg: 52.4 / Max: 52.87Min: 51.54 / Avg: 51.59 / Max: 51.681. (CC) gcc options: -lm

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.323306090120150SE +/- 0.08, N = 3SE +/- 0.33, N = 3SE +/- 0.48, N = 3112.42112.90111.16MIN: 110.57 / MAX: 135.55MIN: 110.98 / MAX: 194.97MIN: 108.9 / MAX: 194.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.32320406080100Min: 112.31 / Avg: 112.42 / Max: 112.58Min: 112.29 / Avg: 112.9 / Max: 113.42Min: 110.25 / Avg: 111.16 / Max: 111.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupLinux 5.3233691215SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 313.213.113.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupLinux 5.32348121620Min: 13 / Avg: 13.2 / Max: 13.5Min: 12.9 / Avg: 13.07 / Max: 13.3Min: 12.9 / Avg: 13 / Max: 13.1

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Linux 5.323140280420560700SE +/- 7.56, N = 3SE +/- 7.22, N = 3SE +/- 2.81, N = 3638.73648.44645.481. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Linux 5.323110220330440550Min: 629.53 / Avg: 638.73 / Max: 653.73Min: 634.42 / Avg: 648.44 / Max: 658.46Min: 641.31 / Avg: 645.48 / Max: 650.831. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

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: Memory CopyingLinux 5.323150300450600750SE +/- 0.58, N = 3SE +/- 1.75, N = 3SE +/- 1.86, N = 3708.50699.26709.531. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingLinux 5.323120240360480600Min: 707.43 / Avg: 708.5 / Max: 709.44Min: 695.99 / Avg: 699.26 / Max: 701.96Min: 706.16 / Avg: 709.53 / Max: 712.581. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomLinux 5.323246810SE +/- 0.130, N = 3SE +/- 0.145, N = 3SE +/- 0.133, N = 38.8248.8208.9491. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomLinux 5.3233691215Min: 8.58 / Avg: 8.82 / Max: 9.02Min: 8.6 / Avg: 8.82 / Max: 9.09Min: 8.76 / Avg: 8.95 / Max: 9.21. (CXX) g++ options: -O3 -lsnappy -lpthread

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory AllocationsLinux 5.32320406080100SE +/- 0.09, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3100.76102.01100.611. (CC) gcc options: -lm
OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory AllocationsLinux 5.32320406080100Min: 100.58 / Avg: 100.76 / Max: 100.87Min: 101.54 / Avg: 102.01 / Max: 102.52Min: 100.4 / Avg: 100.61 / Max: 100.821. (CC) gcc options: -lm

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadLinux 5.3231.34872.69744.04615.39486.7435SE +/- 0.058, N = 9SE +/- 0.059, N = 3SE +/- 0.012, N = 35.9845.9945.9171. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadLinux 5.323246810Min: 5.81 / Avg: 5.98 / Max: 6.39Min: 5.92 / Avg: 5.99 / Max: 6.11Min: 5.89 / Avg: 5.92 / Max: 5.941. (CXX) g++ options: -O3 -lsnappy -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.3231.28032.56063.84095.12126.4015SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 35.695.675.62MIN: 5.55 / MAX: 18.53MIN: 5.62 / MAX: 8.24MIN: 5.35 / MAX: 9.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.323246810Min: 5.58 / Avg: 5.69 / Max: 5.8Min: 5.63 / Avg: 5.67 / Max: 5.7Min: 5.51 / Avg: 5.62 / Max: 5.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.323918273645SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.16, N = 337.0037.4637.21MIN: 36.18 / MAX: 42.44MIN: 36.97 / MAX: 56.71MIN: 36.8 / MAX: 46.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.323816243240Min: 36.6 / Avg: 37 / Max: 37.23Min: 37.14 / Avg: 37.46 / Max: 37.99Min: 36.97 / Avg: 37.21 / Max: 37.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosLinux 5.3234080120160200163164165

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 6.0.16Linux 5.32360K120K180K240K300KSE +/- 2596.47, N = 3SE +/- 461.96, N = 3SE +/- 3662.06, N = 3257477.28256466.80254471.411. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.32340K80K120K160K200KMin: 253184.52 / Avg: 257477.28 / Max: 262154.3Min: 255551.82 / Avg: 256466.8 / Max: 257035.3Min: 247426.76 / Avg: 254471.41 / Max: 259729.161. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: Context SwitchingLinux 5.323400K800K1200K1600K2000KSE +/- 12658.86, N = 3SE +/- 13890.18, N = 3SE +/- 12187.34, N = 31659533.181640248.861645592.491. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingLinux 5.323300K600K900K1200K1500KMin: 1638932.64 / Avg: 1659533.18 / Max: 1682579.18Min: 1614092.58 / Avg: 1640248.86 / Max: 1661432.42Min: 1621294.57 / Avg: 1645592.49 / Max: 1659415.341. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

SMHasher

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

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: wyhashLinux 5.3233K6K9K12K15KSE +/- 23.76, N = 3SE +/- 121.84, N = 3SE +/- 45.88, N = 313679.9013823.3813840.261. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: wyhashLinux 5.3232K4K6K8K10KMin: 13635.83 / Avg: 13679.9 / Max: 13717.32Min: 13646.91 / Avg: 13823.38 / Max: 14057.14Min: 13764.25 / Avg: 13840.26 / Max: 13922.791. (CXX) g++ options: -march=native -O3 -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.323612182430SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 326.9527.2627.03MIN: 26.43 / MAX: 31.94MIN: 26.64 / MAX: 46.16MIN: 26.42 / MAX: 31.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.323612182430Min: 26.79 / Avg: 26.95 / Max: 27.12Min: 27.21 / Avg: 27.26 / Max: 27.32Min: 26.81 / Avg: 27.03 / Max: 27.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 BenchmarkLinux 5.3230.07940.15880.23820.31760.397SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3520.3490.3531. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.32312345Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.351. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateLinux 5.32320406080100SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 397.298.098.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateLinux 5.32320406080100Min: 97 / Avg: 97.17 / Max: 97.3Min: 97.8 / Avg: 98.03 / Max: 98.2Min: 98 / Avg: 98.2 / Max: 98.4

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: System V Message PassingLinux 5.3231.4M2.8M4.2M5.6M7MSE +/- 53048.21, N = 3SE +/- 61448.17, N = 9SE +/- 60575.70, N = 36285917.106350040.276349001.101. (CC) gcc options: -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 PassingLinux 5.3231.1M2.2M3.3M4.4M5.5MMin: 6218127.47 / Avg: 6285917.1 / Max: 6390492.62Min: 6026626.45 / Avg: 6350040.27 / Max: 6554256.04Min: 6233615.51 / Avg: 6349001.1 / Max: 6438676.271. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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 2020-06-28Linux 5.323612182430SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 326.1026.2126.361. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.323612182430Min: 26.03 / Avg: 26.1 / Max: 26.17Min: 26.05 / Avg: 26.21 / Max: 26.52Min: 26.09 / Avg: 26.36 / Max: 26.531. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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: blazefaceLinux 5.3230.4590.9181.3771.8362.295SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 32.022.032.04MIN: 1.95 / MAX: 8.36MIN: 1.98 / MAX: 2.12MIN: 1.96 / MAX: 4.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.323246810Min: 1.99 / Avg: 2.02 / Max: 2.07Min: 1.99 / Avg: 2.03 / Max: 2.06Min: 1.98 / Avg: 2.04 / Max: 2.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CLinux 5.32310002000300040005000SE +/- 4.85, N = 3SE +/- 5.63, N = 3SE +/- 5.98, N = 34757.774804.804796.671. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CLinux 5.3238001600240032004000Min: 4748.09 / Avg: 4757.77 / Max: 4763.09Min: 4797.4 / Avg: 4804.8 / Max: 4815.85Min: 4786.55 / Avg: 4796.67 / Max: 4807.251. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

GLmark2

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

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.3232004006008001000847839840

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: AES-256Linux 5.323160320480640800SE +/- 2.14, N = 3SE +/- 1.92, N = 3SE +/- 0.34, N = 3736.31742.85739.711. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256Linux 5.323130260390520650Min: 732.33 / Avg: 736.31 / Max: 739.65Min: 739.31 / Avg: 742.85 / Max: 745.91Min: 739.14 / Avg: 739.71 / Max: 740.31. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteLinux 5.3234080120160200SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 3165.68167.13166.761. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteLinux 5.323306090120150Min: 165.55 / Avg: 165.68 / Max: 165.77Min: 166.73 / Avg: 167.13 / Max: 167.37Min: 166.19 / Avg: 166.76 / Max: 167.311. (CXX) g++ options: -O3 -lsnappy -lpthread

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonLinux 5.323246810SE +/- 0.0263, N = 3SE +/- 0.0354, N = 3SE +/- 0.0202, N = 36.67146.70196.6441MIN: 6.6 / MAX: 6.79MIN: 6.6 / MAX: 6.81MIN: 6.56 / MAX: 6.76
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonLinux 5.3233691215Min: 6.64 / Avg: 6.67 / Max: 6.72Min: 6.63 / Avg: 6.7 / Max: 6.74Min: 6.61 / Avg: 6.64 / Max: 6.68

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPULinux 5.32348121620SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 317.2017.2417.33MIN: 16.54MIN: 16.58MIN: 16.581. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPULinux 5.32348121620Min: 17.08 / Avg: 17.2 / Max: 17.3Min: 17.07 / Avg: 17.24 / Max: 17.34Min: 17.27 / Avg: 17.33 / Max: 17.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Montage Astronomical Image Mosaic Engine

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degLinux 5.32320406080100SE +/- 0.53, N = 3SE +/- 1.27, N = 3SE +/- 1.20, N = 3107.34107.37108.161. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degLinux 5.32320406080100Min: 106.56 / Avg: 107.34 / Max: 108.35Min: 106.05 / Avg: 107.37 / Max: 109.92Min: 106.42 / Avg: 108.16 / Max: 110.461. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesLinux 5.323306090120150135135136

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: vgg16Linux 5.32380160240320400SE +/- 1.04, N = 3SE +/- 1.82, N = 3SE +/- 0.49, N = 3357.05357.63359.65MIN: 341.42 / MAX: 410.07MIN: 347.8 / MAX: 392.36MIN: 347.86 / MAX: 380.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.32360120180240300Min: 354.98 / Avg: 357.05 / Max: 358.3Min: 354.99 / Avg: 357.63 / Max: 361.13Min: 358.69 / Avg: 359.65 / Max: 360.261. (CXX) g++ options: -O3 -rdynamic -lgomp -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: MEMFDLinux 5.32370140210280350SE +/- 3.85, N = 3SE +/- 3.04, N = 3SE +/- 0.45, N = 3328.06328.39330.431. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDLinux 5.32360120180240300Min: 320.37 / Avg: 328.06 / Max: 332.29Min: 322.35 / Avg: 328.39 / Max: 332.06Min: 329.57 / Avg: 330.43 / Max: 331.11. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPULinux 5.323918273645SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 336.7336.8736.99MIN: 36.59MIN: 36.62MIN: 36.721. (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: CPULinux 5.323816243240Min: 36.68 / Avg: 36.73 / Max: 36.77Min: 36.75 / Avg: 36.87 / Max: 37.11Min: 36.8 / Avg: 36.99 / Max: 37.231. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create ProcessesLinux 5.323714212835SE +/- 0.28, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 329.0628.8628.921. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create ProcessesLinux 5.323612182430Min: 28.53 / Avg: 29.06 / Max: 29.48Min: 28.66 / Avg: 28.86 / Max: 28.97Min: 28.85 / Avg: 28.92 / Max: 29.021. (CC) gcc options: -lm

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonLinux 5.32313002600390052006500SE +/- 52.85, N = 4SE +/- 53.57, N = 4SE +/- 30.91, N = 4600959695982
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonLinux 5.32310002000300040005000Min: 5918 / Avg: 6008.75 / Max: 6124Min: 5816 / Avg: 5968.5 / Max: 6057Min: 5904 / Avg: 5982 / Max: 6036

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: squeezenetLinux 5.3231020304050SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 341.8441.8442.12MIN: 40.49 / MAX: 64.34MIN: 40.68 / MAX: 64.6MIN: 40.78 / MAX: 56.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.323918273645Min: 41.65 / Avg: 41.84 / Max: 42.1Min: 41.62 / Avg: 41.84 / Max: 42.08Min: 41.77 / Avg: 42.12 / Max: 42.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

G'MIC

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

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesLinux 5.323612182430SE +/- 0.18, N = 3SE +/- 0.32, N = 3SE +/- 0.32, N = 325.4525.4525.621. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesLinux 5.323612182430Min: 25.15 / Avg: 25.45 / Max: 25.77Min: 25.12 / Avg: 25.45 / Max: 26.09Min: 25.16 / Avg: 25.62 / Max: 26.241. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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: Glibc Qsort Data SortingLinux 5.32320406080100SE +/- 0.60, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 383.5384.0883.551. (CC) gcc options: -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 SortingLinux 5.3231632486480Min: 82.4 / Avg: 83.53 / Max: 84.43Min: 83.83 / Avg: 84.08 / Max: 84.27Min: 83.4 / Avg: 83.55 / Max: 83.671. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressLinux 5.3236001200180024003000SE +/- 1.41, N = 3SE +/- 7.75, N = 3SE +/- 6.95, N = 32547.132563.732555.281. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressLinux 5.323400800120016002000Min: 2545.55 / Avg: 2547.13 / Max: 2549.95Min: 2548.4 / Avg: 2563.73 / Max: 2573.39Min: 2546.52 / Avg: 2555.28 / Max: 25691. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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: mnasnetLinux 5.32320406080100SE +/- 0.44, N = 3SE +/- 0.08, N = 3SE +/- 0.32, N = 397.5898.2197.61MIN: 96.04 / MAX: 120.4MIN: 97.34 / MAX: 122.16MIN: 96.31 / MAX: 103.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.32320406080100Min: 96.7 / Avg: 97.58 / Max: 98.11Min: 98.07 / Avg: 98.21 / Max: 98.33Min: 96.99 / Avg: 97.61 / Max: 98.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPULinux 5.3233691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.1913.1113.13MIN: 13.05MIN: 13.01MIN: 13.011. (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: CPULinux 5.32348121620Min: 13.14 / Avg: 13.19 / Max: 13.25Min: 13.1 / Avg: 13.11 / Max: 13.12Min: 13.12 / Avg: 13.13 / Max: 13.141. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: Matrix MathLinux 5.3235K10K15K20K25KSE +/- 24.40, N = 3SE +/- 45.57, N = 3SE +/- 98.55, N = 323671.8323605.4123524.541. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathLinux 5.3234K8K12K16K20KMin: 23645.7 / Avg: 23671.83 / Max: 23720.59Min: 23557.94 / Avg: 23605.41 / Max: 23696.52Min: 23348.74 / Avg: 23524.54 / Max: 23689.621. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.32320406080100SE +/- 1.34, N = 3SE +/- 0.88, N = 3SE +/- 0.74, N = 391.7391.8292.30MIN: 88.81 / MAX: 111.56MIN: 89.61 / MAX: 112.75MIN: 89.69 / MAX: 111.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.32320406080100Min: 90.28 / Avg: 91.73 / Max: 94.41Min: 90.41 / Avg: 91.82 / Max: 93.44Min: 90.82 / Avg: 92.3 / Max: 93.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.3233691215SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 312.9712.9012.98MIN: 12.45 / MAX: 19.18MIN: 12.35 / MAX: 20.14MIN: 12.48 / MAX: 18.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.32348121620Min: 12.83 / Avg: 12.97 / Max: 13.08Min: 12.76 / Avg: 12.9 / Max: 13.05Min: 12.94 / Avg: 12.98 / Max: 13.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.32320406080100SE +/- 0.65, N = 3SE +/- 1.17, N = 3SE +/- 0.58, N = 378.7478.2678.46MIN: 76.4 / MAX: 100.47MIN: 76.45 / MAX: 85.57MIN: 76.5 / MAX: 105.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.3231530456075Min: 78.04 / Avg: 78.74 / Max: 80.03Min: 76.95 / Avg: 78.26 / Max: 80.6Min: 77.79 / Avg: 78.46 / Max: 79.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.0.3+dfsgProcessing 60 Page PDF DocumentLinux 5.3231122334455SE +/- 0.22, N = 3SE +/- 0.33, N = 3SE +/- 0.32, N = 349.8149.5249.60
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.0.3+dfsgProcessing 60 Page PDF DocumentLinux 5.3231020304050Min: 49.53 / Avg: 49.81 / Max: 50.26Min: 49.02 / Avg: 49.52 / Max: 50.14Min: 49.25 / Avg: 49.6 / Max: 50.25

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: 0Linux 5.32350100150200250SE +/- 0.34, N = 3SE +/- 0.10, N = 3SE +/- 0.41, N = 3209.69210.07208.871. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.3234080120160200Min: 209.21 / Avg: 209.69 / Max: 210.35Min: 209.89 / Avg: 210.07 / Max: 210.22Min: 208.13 / Avg: 208.87 / Max: 209.531. (CXX) g++ options: -O3 -fPIC

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: DefaultLinux 5.3230.39740.79481.19221.58961.987SE +/- 0.011, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 31.7661.7581.7561. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.323246810Min: 1.75 / Avg: 1.77 / Max: 1.79Min: 1.76 / Avg: 1.76 / Max: 1.76Min: 1.75 / Avg: 1.76 / Max: 1.761. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: SENDFILELinux 5.3236001200180024003000SE +/- 29.05, N = 15SE +/- 28.65, N = 15SE +/- 27.95, N = 152666.012655.342670.431. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILELinux 5.3235001000150020002500Min: 2489.77 / Avg: 2666.01 / Max: 2830.12Min: 2476.13 / Avg: 2655.34 / Max: 2819.86Min: 2489.2 / Avg: 2670.43 / Max: 2834.051. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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: mobilenetLinux 5.3231020304050SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 343.4943.6043.36MIN: 42.04 / MAX: 67.11MIN: 42.23 / MAX: 65.82MIN: 42.83 / MAX: 47.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.323918273645Min: 43.45 / Avg: 43.49 / Max: 43.52Min: 43.37 / Avg: 43.6 / Max: 43.75Min: 43.14 / Avg: 43.36 / Max: 43.641. (CXX) g++ options: -O3 -rdynamic -lgomp -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: Glibc C String FunctionsLinux 5.323120K240K360K480K600KSE +/- 2748.16, N = 3SE +/- 3212.34, N = 3SE +/- 1986.37, N = 3546526.13543539.72545105.281. (CC) gcc options: -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 FunctionsLinux 5.32390K180K270K360K450KMin: 541072.51 / Avg: 546526.13 / Max: 549845.15Min: 537518.25 / Avg: 543539.72 / Max: 548490.52Min: 542113.43 / Avg: 545105.28 / Max: 548864.741. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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-v3-v3 - Model: mobilenet-v3Linux 5.3231224364860SE +/- 0.31, N = 3SE +/- 0.27, N = 3SE +/- 0.42, N = 351.9851.9751.70MIN: 50.94 / MAX: 61.95MIN: 51.11 / MAX: 76.59MIN: 50.36 / MAX: 78.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.3231020304050Min: 51.41 / Avg: 51.98 / Max: 52.46Min: 51.69 / Avg: 51.97 / Max: 52.51Min: 50.87 / Avg: 51.7 / Max: 52.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.3230.84221.68442.52663.36884.211SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.022, N = 33.7413.7433.7231. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.323246810Min: 3.73 / Avg: 3.74 / Max: 3.76Min: 3.74 / Avg: 3.74 / Max: 3.76Min: 3.68 / Avg: 3.72 / Max: 3.751. (CXX) g++ options: -O3 -pthread -lm

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: Bayesian ChangepointLinux 5.32320406080100SE +/- 0.18, N = 3SE +/- 0.42, N = 3SE +/- 0.47, N = 374.8474.6275.02
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointLinux 5.3231428425670Min: 74.48 / Avg: 74.84 / Max: 75.08Min: 73.79 / Avg: 74.62 / Max: 75.08Min: 74.1 / Avg: 75.02 / Max: 75.67

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: ETC1SLinux 5.3231632486480SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 373.0873.4773.321. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SLinux 5.3231428425670Min: 73 / Avg: 73.08 / Max: 73.14Min: 73.37 / Avg: 73.47 / Max: 73.63Min: 73.11 / Avg: 73.32 / Max: 73.551. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibLinux 5.323918273645SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 338.538.538.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibLinux 5.323816243240Min: 38.5 / Avg: 38.53 / Max: 38.6Min: 38.4 / Avg: 38.5 / Max: 38.6Min: 38.7 / Avg: 38.73 / Max: 38.8

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CLinux 5.3233K6K9K12K15KSE +/- 6.67, N = 3SE +/- 5.67, N = 3SE +/- 4.20, N = 312432.2612376.7712440.701. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CLinux 5.3232K4K6K8K10KMin: 12419.87 / Avg: 12432.26 / Max: 12442.75Min: 12365.64 / Avg: 12376.77 / Max: 12384.2Min: 12433.65 / Avg: 12440.7 / Max: 12448.181. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

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: ForkingLinux 5.32310K20K30K40K50KSE +/- 202.61, N = 3SE +/- 125.92, N = 3SE +/- 120.51, N = 344899.2245129.6845082.011. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingLinux 5.3238K16K24K32K40KMin: 44572.52 / Avg: 44899.22 / Max: 45270.17Min: 44933.21 / Avg: 45129.68 / Max: 45364.36Min: 44841.82 / Avg: 45082.01 / Max: 45219.291. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Hugin

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

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeLinux 5.32320406080100SE +/- 0.53, N = 3SE +/- 0.61, N = 3SE +/- 0.52, N = 376.1475.8476.22
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeLinux 5.3231530456075Min: 75.11 / Avg: 76.14 / Max: 76.88Min: 74.72 / Avg: 75.84 / Max: 76.83Min: 75.53 / Avg: 76.22 / Max: 77.24

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.3233691215SE +/- 0.002, N = 3SE +/- 0.016, N = 3SE +/- 0.003, N = 38.9288.9738.9571. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.3233691215Min: 8.93 / Avg: 8.93 / Max: 8.93Min: 8.94 / Avg: 8.97 / Max: 9Min: 8.95 / Avg: 8.96 / Max: 8.961. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.323306090120150SE +/- 0.36, N = 3SE +/- 0.12, N = 3SE +/- 0.33, N = 3124.06124.32124.671. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.32320406080100Min: 123.46 / Avg: 124.06 / Max: 124.72Min: 124.07 / Avg: 124.32 / Max: 124.47Min: 124.01 / Avg: 124.67 / Max: 125.031. (CXX) g++ options: -O3 -fPIC

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Libdeflate 1 - Process: CompressionLinux 5.3234080120160200SE +/- 0.33, N = 32032032041. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Libdeflate 1 - Process: CompressionLinux 5.3234080120160200Min: 202 / Avg: 202.67 / Max: 2031. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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 CFD SolverLinux 5.3231326395265SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 358.7259.0158.861. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverLinux 5.3231224364860Min: 58.55 / Avg: 58.72 / Max: 58.82Min: 58.74 / Avg: 59.01 / Max: 59.16Min: 58.83 / Avg: 58.86 / Max: 58.911. (CXX) g++ options: -O2 -lOpenCL

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitLinux 5.3231632486480SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 372.9173.2673.03MIN: 47.42 / MAX: 171.08MIN: 47.54 / MAX: 172.18MIN: 47.48 / MAX: 170.991. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitLinux 5.3231428425670Min: 72.7 / Avg: 72.91 / Max: 73.07Min: 73.14 / Avg: 73.26 / Max: 73.33Min: 72.74 / Avg: 73.03 / Max: 73.211. (CC) gcc options: -pthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.323306090120150SE +/- 0.66, N = 3SE +/- 0.54, N = 3SE +/- 0.35, N = 3120.15120.42120.72
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.32320406080100Min: 118.96 / Avg: 120.15 / Max: 121.25Min: 119.85 / Avg: 120.42 / Max: 121.5Min: 120.27 / Avg: 120.72 / Max: 121.41

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.3230.7361.4722.2082.9443.68SE +/- 0.030, N = 3SE +/- 0.029, N = 3SE +/- 0.043, N = 53.2563.2573.271
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.323246810Min: 3.23 / Avg: 3.26 / Max: 3.32Min: 3.23 / Avg: 3.26 / Max: 3.32Min: 3.23 / Avg: 3.27 / Max: 3.44

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pLinux 5.323612182430SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 325.1825.2925.281. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pLinux 5.323612182430Min: 25.13 / Avg: 25.18 / Max: 25.23Min: 25.02 / Avg: 25.29 / Max: 25.46Min: 25.15 / Avg: 25.28 / Max: 25.371. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 AtomsLinux 5.3230.70751.4152.12252.833.5375SE +/- 0.00337, N = 3SE +/- 0.00201, N = 3SE +/- 0.00812, N = 33.131443.133253.14447
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.323246810Min: 3.12 / Avg: 3.13 / Max: 3.14Min: 3.13 / Avg: 3.13 / Max: 3.14Min: 3.13 / Avg: 3.14 / Max: 3.16

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastLinux 5.32348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 317.3417.4117.411. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastLinux 5.32348121620Min: 17.33 / Avg: 17.34 / Max: 17.37Min: 17.4 / Avg: 17.41 / Max: 17.42Min: 17.4 / Avg: 17.41 / Max: 17.421. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPULinux 5.323306090120150SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3146.75147.34147.04MIN: 145.37MIN: 145.82MIN: 145.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPULinux 5.323306090120150Min: 146.58 / Avg: 146.75 / Max: 146.84Min: 147.15 / Avg: 147.34 / Max: 147.57Min: 146.85 / Avg: 147.04 / Max: 147.141. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BLinux 5.3236001200180024003000SE +/- 1.75, N = 3SE +/- 2.16, N = 3SE +/- 1.98, N = 32801.312811.182812.361. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BLinux 5.3235001000150020002500Min: 2799.2 / Avg: 2801.31 / Max: 2804.77Min: 2806.94 / Avg: 2811.18 / Max: 2814.01Min: 2808.44 / Avg: 2812.36 / Max: 2814.81. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CLinux 5.3232K4K6K8K10KSE +/- 3.73, N = 3SE +/- 36.44, N = 3SE +/- 3.67, N = 310336.6610305.3910296.401. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CLinux 5.3232K4K6K8K10KMin: 10332.56 / Avg: 10336.66 / Max: 10344.11Min: 10237.71 / Avg: 10305.39 / Max: 10362.66Min: 10291.95 / Avg: 10296.4 / Max: 10303.691. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPULinux 5.32313002600390052006500SE +/- 50.98, N = 3SE +/- 43.59, N = 3SE +/- 14.43, N = 3591559385921
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPULinux 5.32310002000300040005000Min: 5821 / Avg: 5915.33 / Max: 5996Min: 5862 / Avg: 5937.67 / Max: 6013Min: 5896 / Avg: 5921 / Max: 5946

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileLinux 5.32360120180240300SE +/- 0.33, N = 3258259258
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileLinux 5.32350100150200250Min: 258 / Avg: 258.67 / Max: 259

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: MemorialLinux 5.3230.58731.17461.76192.34922.9365SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.602.602.61
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialLinux 5.323246810Min: 2.6 / Avg: 2.6 / Max: 2.6Min: 2.6 / Avg: 2.6 / Max: 2.61Min: 2.6 / Avg: 2.61 / Max: 2.61

Build2

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileLinux 5.3234080120160200SE +/- 0.52, N = 3SE +/- 1.60, N = 3SE +/- 0.59, N = 3204.21204.02204.79
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileLinux 5.3234080120160200Min: 203.48 / Avg: 204.21 / Max: 205.21Min: 201.17 / Avg: 204.02 / Max: 206.69Min: 203.92 / Avg: 204.79 / Max: 205.91

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 CompileLinux 5.3234080120160200SE +/- 1.02, N = 3SE +/- 0.96, N = 3SE +/- 0.82, N = 3165.06165.61165.67
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileLinux 5.323306090120150Min: 163.99 / Avg: 165.06 / Max: 167.09Min: 164.58 / Avg: 165.61 / Max: 167.54Min: 164.22 / Avg: 165.67 / Max: 167.07

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.323306090120150SE +/- 1.43, N = 3SE +/- 1.87, N = 5SE +/- 1.18, N = 3146.69146.19146.521. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.323306090120150Min: 144.7 / Avg: 146.69 / Max: 149.46Min: 142.78 / Avg: 146.19 / Max: 152.54Min: 144.21 / Avg: 146.51 / Max: 148.151. (CXX) g++ options: -O3 -lsnappy -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumLinux 5.3230.6571.3141.9712.6283.285SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.912.922.921. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumLinux 5.323246810Min: 2.91 / Avg: 2.91 / Max: 2.92Min: 2.92 / Avg: 2.92 / Max: 2.92Min: 2.92 / Avg: 2.92 / Max: 2.921. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 tau100.0Linux 5.32360120180240300SE +/- 0.67, N = 32942932931. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.32350100150200250Min: 293 / Avg: 293.67 / Max: 2951. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.323246810SE +/- 0.007, N = 3SE +/- 0.030, N = 3SE +/- 0.006, N = 38.6428.6718.6541. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.3233691215Min: 8.64 / Avg: 8.64 / Max: 8.66Min: 8.63 / Avg: 8.67 / Max: 8.73Min: 8.65 / Avg: 8.65 / Max: 8.671. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineLinux 5.32360120180240300SE +/- 1.85, N = 3SE +/- 2.17, N = 3SE +/- 1.99, N = 3259.41260.28260.25
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineLinux 5.32350100150200250Min: 256.57 / Avg: 259.41 / Max: 262.88Min: 256.38 / Avg: 260.28 / Max: 263.88Min: 256.27 / Avg: 260.25 / Max: 262.49

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping PongLinux 5.323246810SE +/- 0.017, N = 5SE +/- 0.024, N = 5SE +/- 0.052, N = 58.0027.9767.9861. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping PongLinux 5.3233691215Min: 7.94 / Avg: 8 / Max: 8.04Min: 7.89 / Avg: 7.98 / Max: 8.03Min: 7.91 / Avg: 7.99 / Max: 8.191. (CXX) g++ options: --param -O3 -rdynamic -ldl -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 v2Linux 5.32370140210280350SE +/- 0.72, N = 3SE +/- 0.63, N = 3SE +/- 0.38, N = 3325.43324.84325.89MIN: 321.79 / MAX: 331.33MIN: 321.69 / MAX: 331.12MIN: 322.8 / MAX: 335.241. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.32360120180240300Min: 324 / Avg: 325.43 / Max: 326.38Min: 323.63 / Avg: 324.84 / Max: 325.76Min: 325.31 / Avg: 325.89 / Max: 326.621. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 ISPC - Model: Asian DragonLinux 5.323246810SE +/- 0.0421, N = 3SE +/- 0.0351, N = 3SE +/- 0.0041, N = 37.71387.68927.7073MIN: 7.62 / MAX: 7.91MIN: 7.59 / MAX: 7.84MIN: 7.65 / MAX: 7.81
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonLinux 5.3233691215Min: 7.67 / Avg: 7.71 / Max: 7.8Min: 7.62 / Avg: 7.69 / Max: 7.73Min: 7.7 / Avg: 7.71 / Max: 7.71

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 2 - Process: DecompressionLinux 5.323140280420560700SE +/- 0.88, N = 3SE +/- 0.33, N = 36336326341. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 2 - Process: DecompressionLinux 5.323110220330440550Min: 631 / Avg: 632.67 / Max: 634Min: 632 / Avg: 632.33 / Max: 6331. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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 CompileLinux 5.323816243240SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 333.5833.5833.48
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileLinux 5.323714212835Min: 33.45 / Avg: 33.58 / Max: 33.82Min: 33.4 / Avg: 33.58 / Max: 33.79Min: 33.25 / Avg: 33.48 / Max: 33.6

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsLinux 5.323816243240SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 333.233.333.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsLinux 5.323714212835Min: 33.1 / Avg: 33.17 / Max: 33.2Min: 33.3 / Avg: 33.33 / Max: 33.4Min: 33.2 / Avg: 33.33 / Max: 33.4

SMHasher

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

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: Spooky32Linux 5.3232K4K6K8K10KSE +/- 9.06, N = 3SE +/- 3.30, N = 3SE +/- 7.20, N = 311164.2711131.3211153.051. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: Spooky32Linux 5.3232K4K6K8K10KMin: 11147.79 / Avg: 11164.27 / Max: 11179.04Min: 11125.17 / Avg: 11131.32 / Max: 11136.45Min: 11139.1 / Avg: 11153.05 / Max: 11163.111. (CXX) g++ options: -march=native -O3 -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonLinux 5.323150300450600750SE +/- 0.33, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3682684682
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonLinux 5.323120240360480600Min: 682 / Avg: 682.33 / Max: 683Min: 682 / Avg: 683.67 / Max: 686Min: 681 / Avg: 682.33 / Max: 684

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 HotSpot3DLinux 5.323306090120150SE +/- 0.31, N = 3SE +/- 0.01, N = 3SE +/- 0.21, N = 3133.93134.32134.061. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DLinux 5.323306090120150Min: 133.36 / Avg: 133.93 / Max: 134.41Min: 134.3 / Avg: 134.32 / Max: 134.34Min: 133.77 / Avg: 134.06 / Max: 134.471. (CXX) g++ options: -O2 -lOpenCL

GNU Octave Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 4.4.1Linux 5.3233691215SE +/- 0.10, N = 5SE +/- 0.07, N = 5SE +/- 0.08, N = 511.2811.3111.30
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 4.4.1Linux 5.3233691215Min: 11.01 / Avg: 11.28 / Max: 11.61Min: 11.23 / Avg: 11.31 / Max: 11.59Min: 11.21 / Avg: 11.3 / Max: 11.6

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.3231.2M2.4M3.6M4.8M6MSE +/- 1013.92, N = 3SE +/- 1292.14, N = 3SE +/- 15121.82, N = 3548924054889605504107
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.3231000K2000K3000K4000K5000KMin: 5487240 / Avg: 5489240 / Max: 5490530Min: 5487440 / Avg: 5488960 / Max: 5491530Min: 5487500 / Avg: 5504106.67 / Max: 5534300

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: FLOATLinux 5.32370M140M210M280M350MSE +/- 392759.75, N = 3SE +/- 78069.68, N = 3SE +/- 148747.23, N = 3333392595.36334295678.01333884203.291. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.32360M120M180M240M300MMin: 332997441.52 / Avg: 333392595.36 / Max: 334178109.98Min: 334140488.6 / Avg: 334295678.01 / Max: 334388165.95Min: 333602535.36 / Avg: 333884203.29 / Max: 334107950.451. (CC) gcc options: -O3 -march=native -lm

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsLinux 5.32360120180240300SE +/- 0.29, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3289.76290.38290.541. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsLinux 5.32350100150200250Min: 289.33 / Avg: 289.76 / Max: 290.32Min: 290.25 / Avg: 290.38 / Max: 290.52Min: 290.4 / Avg: 290.54 / Max: 290.621. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

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 LeukocyteLinux 5.32360120180240300SE +/- 0.89, N = 3SE +/- 0.19, N = 3SE +/- 0.60, N = 3255.45255.59254.901. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteLinux 5.32350100150200250Min: 253.75 / Avg: 255.45 / Max: 256.76Min: 255.24 / Avg: 255.59 / Max: 255.89Min: 254.25 / Avg: 254.9 / Max: 256.11. (CXX) g++ options: -O2 -lOpenCL

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 5.32330060090012001500SE +/- 0.30, N = 3SE +/- 6.69, N = 3SE +/- 2.30, N = 31518.691518.351522.30MIN: 1509.85MIN: 1504.65MIN: 1515.621. (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: CPULinux 5.32330060090012001500Min: 1518.29 / Avg: 1518.69 / Max: 1519.28Min: 1508.3 / Avg: 1518.35 / Max: 1531.01Min: 1518.12 / Avg: 1522.3 / Max: 1526.041. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.3231020304050SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 344.2344.1744.281. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.323918273645Min: 44.16 / Avg: 44.23 / Max: 44.27Min: 44.05 / Avg: 44.17 / Max: 44.26Min: 44.2 / Avg: 44.28 / Max: 44.371. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: CAST-256Linux 5.32320406080100SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3106.56106.82106.731. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Linux 5.32320406080100Min: 106.49 / Avg: 106.56 / Max: 106.66Min: 106.73 / Avg: 106.82 / Max: 106.93Min: 106.62 / Avg: 106.72 / Max: 106.931. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 0 - Process: CompressionLinux 5.32390180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 34064074071. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 0 - Process: CompressionLinux 5.32370140210280350Min: 406 / Avg: 406.33 / Max: 407Min: 406 / Avg: 406.67 / Max: 4071. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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: UASTC Level 0Linux 5.3233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 310.6610.6410.631. (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 0Linux 5.3233691215Min: 10.64 / Avg: 10.66 / Max: 10.69Min: 10.63 / Avg: 10.64 / Max: 10.64Min: 10.63 / Avg: 10.63 / Max: 10.641. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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: KASUMILinux 5.32320406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 377.7777.9677.941. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMILinux 5.3231530456075Min: 77.72 / Avg: 77.77 / Max: 77.8Min: 77.93 / Avg: 77.96 / Max: 78.02Min: 77.9 / Avg: 77.94 / Max: 781. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.32330060090012001500SE +/- 2.17, N = 3SE +/- 1.62, N = 3SE +/- 2.37, N = 31226.871229.791227.18
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.3232004006008001000Min: 1222.81 / Avg: 1226.87 / Max: 1230.22Min: 1227.39 / Avg: 1229.79 / Max: 1232.88Min: 1224.34 / Avg: 1227.18 / Max: 1231.88

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.32315K30K45K60K75KSE +/- 124.24, N = 3SE +/- 53.44, N = 3SE +/- 119.13, N = 37168371852718281. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.32312K24K36K48K60KMin: 71551 / Avg: 71682.67 / Max: 71931Min: 71748 / Avg: 71851.67 / Max: 71926Min: 71604 / Avg: 71828.33 / Max: 720101. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 1080pLinux 5.32360120180240300SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.45, N = 3286.73286.06286.13MIN: 209.66 / MAX: 489.66MIN: 209.37 / MAX: 474.93MIN: 209.24 / MAX: 478.751. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pLinux 5.32350100150200250Min: 286.58 / Avg: 286.73 / Max: 286.89Min: 285.9 / Avg: 286.06 / Max: 286.18Min: 285.67 / Avg: 286.13 / Max: 287.021. (CC) gcc options: -pthread

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 8 - Input: 1080pLinux 5.3230.1960.3920.5880.7840.98SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.8710.8710.8691. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pLinux 5.323246810Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.871. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DLinux 5.323130260390520650SE +/- 6.44, N = 3SE +/- 6.96, N = 3SE +/- 6.88, N = 3620.57621.05621.991. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DLinux 5.323110220330440550Min: 607.79 / Avg: 620.57 / Max: 628.35Min: 607.14 / Avg: 621.05 / Max: 628.5Min: 608.27 / Avg: 621.99 / Max: 629.661. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.32330K60K90K120K150KSE +/- 167.91, N = 3SE +/- 180.93, N = 3SE +/- 149.74, N = 31435601438111434951. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.32320K40K60K80K100KMin: 143225 / Avg: 143559.67 / Max: 143751Min: 143569 / Avg: 143811 / Max: 144165Min: 143213 / Avg: 143495.33 / Max: 1437231. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsLinux 5.3238001600240032004000SE +/- 3.48, N = 3SE +/- 4.64, N = 3SE +/- 7.90, N = 33706.433714.483711.731. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsLinux 5.3236001200180024003000Min: 3700.18 / Avg: 3706.43 / Max: 3712.23Min: 3705.36 / Avg: 3714.48 / Max: 3720.54Min: 3697.52 / Avg: 3711.73 / Max: 3724.81. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

YafaRay

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

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneLinux 5.32360120180240300SE +/- 0.52, N = 3SE +/- 0.67, N = 3SE +/- 0.16, N = 3275.73275.21275.141. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lboost_system -lboost_filesystem -lboost_locale
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneLinux 5.32350100150200250Min: 274.98 / Avg: 275.73 / Max: 276.73Min: 274.26 / Avg: 275.21 / Max: 276.52Min: 274.92 / Avg: 275.14 / Max: 275.451. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lboost_system -lboost_filesystem -lboost_locale

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Linux 5.323100200300400500473473474

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricLinux 5.32313K26K39K52K65K5976959665597911. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

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: CryptoLinux 5.32330060090012001500SE +/- 0.52, N = 3SE +/- 0.45, N = 3SE +/- 1.79, N = 31236.011236.121233.541. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoLinux 5.3232004006008001000Min: 1235.06 / Avg: 1236.01 / Max: 1236.84Min: 1235.23 / Avg: 1236.12 / Max: 1236.71Min: 1230 / Avg: 1233.54 / Max: 1235.741. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.32370K140K210K280K350KSE +/- 342.86, N = 3SE +/- 130.05, N = 3SE +/- 125.43, N = 33315633308903309751. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.32360K120K180K240K300KMin: 330888 / Avg: 331563.33 / Max: 332004Min: 330646 / Avg: 330890 / Max: 331090Min: 330832 / Avg: 330975 / Max: 3312251. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 BenchmarkLinux 5.32316K32K48K64K80KSE +/- 87.89, N = 3SE +/- 9.92, N = 3SE +/- 86.27, N = 374835.8174843.3274691.791. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkLinux 5.32313K26K39K52K65KMin: 74700.37 / Avg: 74835.81 / Max: 75000.56Min: 74825.54 / Avg: 74843.32 / Max: 74859.84Min: 74564.7 / Avg: 74691.79 / Max: 74856.41. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

SMHasher

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

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: Spooky32Linux 5.3231326395265SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 357.8957.7757.801. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: Spooky32Linux 5.3231122334455Min: 57.74 / Avg: 57.89 / Max: 58.09Min: 57.75 / Avg: 57.77 / Max: 57.81Min: 57.74 / Avg: 57.8 / Max: 57.861. (CXX) g++ options: -march=native -O3 -lpthread

Tesseract OCR

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.0Time To OCR 7 ImagesLinux 5.323714212835SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 330.1930.1330.17
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.0Time To OCR 7 ImagesLinux 5.323714212835Min: 30.02 / Avg: 30.19 / Max: 30.45Min: 29.99 / Avg: 30.13 / Max: 30.39Min: 30 / Avg: 30.17 / Max: 30.47

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPULinux 5.323246810SE +/- 0.00552, N = 3SE +/- 0.01107, N = 3SE +/- 0.00380, N = 38.732838.716638.73149MIN: 8.54MIN: 8.56MIN: 8.561. (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: CPULinux 5.3233691215Min: 8.72 / Avg: 8.73 / Max: 8.74Min: 8.7 / Avg: 8.72 / Max: 8.74Min: 8.72 / Avg: 8.73 / Max: 8.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 0 - Process: DecompressionLinux 5.323120240360480600SE +/- 1.15, N = 35415405411. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 0 - Process: DecompressionLinux 5.323100200300400500Min: 538 / Avg: 540 / Max: 5421. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeLinux 5.32320406080100SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 391.3091.4691.301. RawTherapee, version 5.6, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeLinux 5.32320406080100Min: 91.23 / Avg: 91.29 / Max: 91.36Min: 91.3 / Avg: 91.46 / Max: 91.68Min: 91.22 / Avg: 91.3 / Max: 91.421. RawTherapee, version 5.6, command line.

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: BlowfishLinux 5.32360120180240300SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.42, N = 3266.51266.78266.291. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishLinux 5.32350100150200250Min: 266.34 / Avg: 266.51 / Max: 266.71Min: 266.69 / Avg: 266.78 / Max: 266.9Min: 265.46 / Avg: 266.29 / Max: 266.791. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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: MMAPLinux 5.32320406080100SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 386.8686.7286.861. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPLinux 5.3231632486480Min: 86.83 / Avg: 86.86 / Max: 86.89Min: 86.63 / Avg: 86.72 / Max: 86.79Min: 86.83 / Avg: 86.86 / Max: 86.91. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPULinux 5.323612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 324.7824.7424.76MIN: 24.53MIN: 24.52MIN: 24.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPULinux 5.323612182430Min: 24.74 / Avg: 24.78 / Max: 24.82Min: 24.72 / Avg: 24.74 / Max: 24.78Min: 24.72 / Avg: 24.76 / Max: 24.831. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 RoutineLinux 5.3234K8K12K16K20KSE +/- 23.44, N = 3SE +/- 35.72, N = 3SE +/- 23.55, N = 317940.3017969.0317951.561. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.3233K6K9K12K15KMin: 17913.87 / Avg: 17940.3 / Max: 17987.05Min: 17902.92 / Avg: 17969.03 / Max: 18025.55Min: 17914.04 / Avg: 17951.56 / Max: 17994.991. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 TestLinux 5.3236K12K18K24K30KSE +/- 195.91, N = 3SE +/- 133.98, N = 3SE +/- 116.95, N = 32970229655296971. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestLinux 5.3235K10K15K20K25KMin: 29321 / Avg: 29702.33 / Max: 29971Min: 29466 / Avg: 29655 / Max: 29914Min: 29492 / Avg: 29697.33 / Max: 298971. (CXX) g++ options: -pipe -lpthread

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.323400800120016002000SE +/- 2.84, N = 3SE +/- 0.88, N = 3SE +/- 3.24, N = 31743.71741.21741.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.32330060090012001500Min: 1739.1 / Avg: 1743.7 / Max: 1748.9Min: 1740 / Avg: 1741.17 / Max: 1742.9Min: 1735.5 / Avg: 1740.97 / Max: 1746.71. (CC) gcc options: -O3 -pthread -lz -llzma

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceLinux 5.323150300450600750SE +/- 0.67, N = 3SE +/- 0.88, N = 3679680680
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceLinux 5.323120240360480600Min: 678 / Avg: 678.67 / Max: 680Min: 678 / Avg: 679.67 / Max: 681

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.3230.6121.2241.8362.4483.06SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 32.7192.7162.7201. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.323246810Min: 2.71 / Avg: 2.72 / Max: 2.73Min: 2.71 / Avg: 2.72 / Max: 2.72Min: 2.72 / Avg: 2.72 / Max: 2.721. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.323918273645SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 338.4938.4638.52MIN: 37.78MIN: 37.9MIN: 37.871. (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: CPULinux 5.323816243240Min: 38.31 / Avg: 38.49 / Max: 38.63Min: 38.37 / Avg: 38.46 / Max: 38.61Min: 38.42 / Avg: 38.52 / Max: 38.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 LavaMDLinux 5.323120240360480600SE +/- 0.21, N = 3SE +/- 0.33, N = 3SE +/- 0.39, N = 3553.59553.60552.821. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.323100200300400500Min: 553.23 / Avg: 553.59 / Max: 553.94Min: 553.17 / Avg: 553.6 / Max: 554.24Min: 552.26 / Avg: 552.82 / Max: 553.561. (CXX) g++ options: -O2 -lOpenCL

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: 10Linux 5.323246810SE +/- 0.016, N = 3SE +/- 0.016, N = 3SE +/- 0.016, N = 38.2688.2748.2631. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Linux 5.3233691215Min: 8.24 / Avg: 8.27 / Max: 8.29Min: 8.25 / Avg: 8.27 / Max: 8.31Min: 8.24 / Avg: 8.26 / Max: 8.31. (CXX) g++ options: -O3 -fPIC

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: UASTC Level 2Linux 5.3231326395265SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 358.7258.7358.801. (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 2Linux 5.3231224364860Min: 58.69 / Avg: 58.72 / Max: 58.74Min: 58.72 / Avg: 58.73 / Max: 58.75Min: 58.75 / Avg: 58.8 / Max: 58.861. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Darmstadt Automotive Parallel Heterogeneous Suite

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

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterLinux 5.3232004006008001000SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.35, N = 3863.38862.30862.271. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterLinux 5.323150300450600750Min: 863.14 / Avg: 863.38 / Max: 863.54Min: 861.94 / Avg: 862.3 / Max: 862.57Min: 861.58 / Avg: 862.27 / Max: 862.641. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 DynamicsLinux 5.323612182430SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 323.5323.5223.50
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.323510152025Min: 23.47 / Avg: 23.53 / Max: 23.62Min: 23.47 / Avg: 23.52 / Max: 23.56Min: 23.44 / Avg: 23.5 / Max: 23.56

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.32340K80K120K160K200KSE +/- 171.15, N = 3SE +/- 223.63, N = 3SE +/- 121.48, N = 31659721659911657821. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.32330K60K90K120K150KMin: 165652 / Avg: 165972.33 / Max: 166237Min: 165690 / Avg: 165991 / Max: 166428Min: 165614 / Avg: 165782 / Max: 1660181. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastLinux 5.323246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.967.977.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastLinux 5.3233691215Min: 7.96 / Avg: 7.96 / Max: 7.97Min: 7.97 / Avg: 7.97 / Max: 7.98Min: 7.97 / Avg: 7.97 / Max: 7.981. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pLinux 5.32360120180240300SE +/- 0.72, N = 3SE +/- 0.46, N = 3SE +/- 0.35, N = 3272.36272.48272.68MIN: 227.28 / MAX: 296.88MIN: 235.92 / MAX: 296.72MIN: 236.29 / MAX: 296.671. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pLinux 5.32350100150200250Min: 271.31 / Avg: 272.36 / Max: 273.72Min: 271.64 / Avg: 272.48 / Max: 273.24Min: 271.99 / Avg: 272.68 / Max: 273.071. (CC) gcc options: -pthread

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 BenchmarkLinux 5.323612182430SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 325.7925.7725.801. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.323612182430Min: 25.76 / Avg: 25.79 / Max: 25.82Min: 25.71 / Avg: 25.77 / Max: 25.87Min: 25.75 / Avg: 25.8 / Max: 25.891. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Darmstadt Automotive Parallel Heterogeneous Suite

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

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingLinux 5.32390180270360450SE +/- 0.33, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 3431.94431.77432.261. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingLinux 5.32380160240320400Min: 431.29 / Avg: 431.94 / Max: 432.35Min: 431.6 / Avg: 431.77 / Max: 431.95Min: 431.92 / Avg: 432.26 / Max: 432.671. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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: TwofishLinux 5.32350100150200250SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3232.55232.70232.801. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishLinux 5.3234080120160200Min: 232.4 / Avg: 232.55 / Max: 232.64Min: 232.6 / Avg: 232.7 / Max: 232.85Min: 232.69 / Avg: 232.8 / Max: 232.951. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.3231.1M2.2M3.3M4.4M5.5MSE +/- 1228.42, N = 3SE +/- 1215.73, N = 3SE +/- 3953.53, N = 3496164749631434966910
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.323900K1800K2700K3600K4500KMin: 4959910 / Avg: 4961646.67 / Max: 4964020Min: 4960780 / Avg: 4963143.33 / Max: 4964820Min: 4962100 / Avg: 4966910 / Max: 4974750

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.32360120180240300SE +/- 0.43, N = 3SE +/- 0.45, N = 3SE +/- 0.21, N = 3297.13297.26297.43MIN: 295.81 / MAX: 299.46MIN: 296.07 / MAX: 300.34MIN: 296.68 / MAX: 299.761. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.32350100150200250Min: 296.35 / Avg: 297.13 / Max: 297.82Min: 296.47 / Avg: 297.26 / Max: 298.04Min: 297.03 / Avg: 297.43 / Max: 297.731. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsLinux 5.323100200300400500SE +/- 0.17, N = 3SE +/- 0.27, N = 3SE +/- 0.04, N = 3462.28462.57462.741. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsLinux 5.32380160240320400Min: 462.03 / Avg: 462.28 / Max: 462.6Min: 462.13 / Avg: 462.57 / Max: 463.06Min: 462.69 / Avg: 462.74 / Max: 462.811. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPULinux 5.32320406080100SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3109.72109.83109.80MIN: 109.35MIN: 109.35MIN: 109.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPULinux 5.32320406080100Min: 109.68 / Avg: 109.72 / Max: 109.79Min: 109.77 / Avg: 109.83 / Max: 109.91Min: 109.77 / Avg: 109.79 / Max: 109.821. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: MallocLinux 5.3238M16M24M32M40MSE +/- 11923.26, N = 3SE +/- 23175.94, N = 3SE +/- 21862.11, N = 335069017.9635040588.3535071564.991. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocLinux 5.3236M12M18M24M30MMin: 35050019.78 / Avg: 35069017.96 / Max: 35090998.81Min: 35002064.93 / Avg: 35040588.35 / Max: 35082173.42Min: 35042220.74 / Avg: 35071564.99 / Max: 35114309.191. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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 CommandsLinux 5.3231428425670SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 364.0564.0464.091. git version 2.20.1
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsLinux 5.3231326395265Min: 63.82 / Avg: 64.05 / Max: 64.22Min: 63.86 / Avg: 64.04 / Max: 64.17Min: 63.86 / Avg: 64.09 / Max: 64.321. git version 2.20.1

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KLinux 5.3231632486480SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 372.7672.7372.79MIN: 65.87 / MAX: 77.4MIN: 65.52 / MAX: 77.31MIN: 65.93 / MAX: 77.491. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KLinux 5.3231428425670Min: 72.7 / Avg: 72.76 / Max: 72.79Min: 72.64 / Avg: 72.73 / Max: 72.82Min: 72.69 / Avg: 72.79 / Max: 72.851. (CC) gcc options: -pthread

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: SemaphoresLinux 5.323200K400K600K800K1000KSE +/- 179.56, N = 3SE +/- 287.20, N = 3SE +/- 627.25, N = 3960900.33960119.66960296.471. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresLinux 5.323170K340K510K680K850KMin: 960554.57 / Avg: 960900.33 / Max: 961157.27Min: 959569.68 / Avg: 960119.66 / Max: 960538.13Min: 959154.29 / Avg: 960296.47 / Max: 961316.881. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.32348121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 313.7313.7313.74
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.32348121620Min: 13.68 / Avg: 13.73 / Max: 13.75Min: 13.72 / Avg: 13.73 / Max: 13.75Min: 13.7 / Avg: 13.74 / Max: 13.77

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: UASTC Level 2 + RDO Post-ProcessingLinux 5.3232004006008001000SE +/- 1.46, N = 3SE +/- 0.33, N = 3SE +/- 1.14, N = 3868.26867.77867.641. (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-ProcessingLinux 5.323150300450600750Min: 865.46 / Avg: 868.26 / Max: 870.36Min: 867.38 / Avg: 867.77 / Max: 868.42Min: 865.98 / Avg: 867.64 / Max: 869.821. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

G'MIC

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

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesLinux 5.32320406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 375.9775.9475.991. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesLinux 5.3231530456075Min: 75.92 / Avg: 75.97 / Max: 76.01Min: 75.89 / Avg: 75.94 / Max: 75.99Min: 75.99 / Avg: 75.99 / Max: 75.991. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.323510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 320.6720.6620.661. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.323510152025Min: 20.63 / Avg: 20.67 / Max: 20.73Min: 20.65 / Avg: 20.66 / Max: 20.67Min: 20.63 / Avg: 20.66 / Max: 20.681. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 SynthesisLinux 5.323918273645SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 438.9738.9938.961. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.323816243240Min: 38.93 / Avg: 38.97 / Max: 39.07Min: 38.93 / Avg: 38.99 / Max: 39.06Min: 38.92 / Avg: 38.96 / Max: 39.031. (CC) gcc options: -O2 -std=c99

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: Vector MathLinux 5.3238K16K24K32K40KSE +/- 3.56, N = 3SE +/- 6.31, N = 3SE +/- 22.72, N = 339289.1739291.8539269.621. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathLinux 5.3237K14K21K28K35KMin: 39282.16 / Avg: 39289.17 / Max: 39293.75Min: 39281.52 / Avg: 39291.85 / Max: 39303.3Min: 39226.77 / Avg: 39269.62 / Max: 39304.141. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.32360K120K180K240K300KSE +/- 87.08, N = 3SE +/- 64.63, N = 3SE +/- 100.66, N = 3264321264281264172
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.32350K100K150K200K250KMin: 264160 / Avg: 264321 / Max: 264459Min: 264183 / Avg: 264281 / Max: 264403Min: 263971 / Avg: 264171.67 / Max: 264286

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 SearchLinux 5.323306090120150SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3143.95144.03144.001. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.323306090120150Min: 143.81 / Avg: 143.95 / Max: 144.2Min: 143.84 / Avg: 144.03 / Max: 144.4Min: 143.89 / Avg: 144 / Max: 144.081. (CC) gcc options: -O3 -pthread -lhmmer -leasel -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: SqueezeNetLinux 5.32380K160K240K320K400KSE +/- 62.52, N = 3SE +/- 26.31, N = 3SE +/- 113.77, N = 3374809374925374993
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.32370K140K210K280K350KMin: 374709 / Avg: 374809 / Max: 374924Min: 374873 / Avg: 374925 / Max: 374958Min: 374778 / Avg: 374993 / Max: 375165

SMHasher

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

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: fasthash32Linux 5.3231020304050SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 343.9343.9243.911. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: fasthash32Linux 5.323918273645Min: 43.92 / Avg: 43.93 / Max: 43.93Min: 43.91 / Avg: 43.92 / Max: 43.93Min: 43.9 / Avg: 43.91 / Max: 43.911. (CXX) g++ options: -march=native -O3 -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceLinux 5.3232K4K6K8K10KSE +/- 4.12, N = 3SE +/- 14.43, N = 3SE +/- 7.04, N = 311253.1211255.9811257.881. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceLinux 5.3232K4K6K8K10KMin: 11248.7 / Avg: 11253.12 / Max: 11261.35Min: 11240.86 / Avg: 11255.98 / Max: 11284.83Min: 11244.19 / Avg: 11257.88 / Max: 11267.541. (CXX) g++ options: -march=native -O3 -lpthread

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.32370K140K210K280K350KSE +/- 78.69, N = 3SE +/- 320.08, N = 3SE +/- 273.31, N = 3311185311279311149
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.32350K100K150K200K250KMin: 311089 / Avg: 311185 / Max: 311341Min: 310691 / Avg: 311279.33 / Max: 311792Min: 310802 / Avg: 311148.67 / Max: 311688

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 StreamclusterLinux 5.323816243240SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 336.5936.6036.611. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterLinux 5.323816243240Min: 36.58 / Avg: 36.59 / Max: 36.61Min: 36.56 / Avg: 36.6 / Max: 36.63Min: 36.58 / Avg: 36.61 / Max: 36.651. (CXX) g++ options: -O2 -lOpenCL

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: UASTC Level 3Linux 5.323306090120150SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3113.01113.02113.041. (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 3Linux 5.32320406080100Min: 112.98 / Avg: 113.01 / Max: 113.03Min: 112.96 / Avg: 113.02 / Max: 113.1Min: 113.02 / Avg: 113.04 / Max: 113.071. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

SMHasher

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

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: fasthash32Linux 5.32313002600390052006500SE +/- 2.16, N = 3SE +/- 0.89, N = 3SE +/- 0.51, N = 35993.465994.045995.161. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: fasthash32Linux 5.32310002000300040005000Min: 5989.17 / Avg: 5993.46 / Max: 5996.05Min: 5992.34 / Avg: 5994.04 / Max: 5995.37Min: 5994.15 / Avg: 5995.16 / Max: 5995.771. (CXX) g++ options: -march=native -O3 -lpthread

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.32360K120K180K240K300KSE +/- 35.46, N = 3SE +/- 43.21, N = 3SE +/- 16.26, N = 3257990257938257984
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.32340K80K120K160K200KMin: 257944 / Avg: 257990.33 / Max: 258060Min: 257852 / Avg: 257938.33 / Max: 257985Min: 257953 / Avg: 257984 / Max: 258008

SMHasher

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

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: wyhashLinux 5.323816243240SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 334.2034.1934.191. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: wyhashLinux 5.323714212835Min: 34.2 / Avg: 34.2 / Max: 34.2Min: 34.19 / Avg: 34.19 / Max: 34.19Min: 34.19 / Avg: 34.19 / Max: 34.191. (CXX) g++ options: -march=native -O3 -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: RdRandLinux 5.32340K80K120K160K200KSE +/- 5.50, N = 3SE +/- 11.03, N = 3SE +/- 2.98, N = 3185838.81185841.66185835.071. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: RdRandLinux 5.32330K60K90K120K150KMin: 185827.89 / Avg: 185838.81 / Max: 185845.39Min: 185827.61 / Avg: 185841.66 / Max: 185863.41Min: 185829.2 / Avg: 185835.07 / Max: 185838.891. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

SMHasher

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

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceLinux 5.3231020304050SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 344.2644.2644.261. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceLinux 5.323918273645Min: 44.26 / Avg: 44.26 / Max: 44.26Min: 44.26 / Avg: 44.26 / Max: 44.26Min: 44.26 / Avg: 44.26 / Max: 44.261. (CXX) g++ options: -march=native -O3 -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastLinux 5.3230.99231.98462.97693.96924.9615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.414.414.411. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastLinux 5.323246810Min: 4.41 / Avg: 4.41 / Max: 4.41Min: 4.41 / Avg: 4.41 / Max: 4.41Min: 4.41 / Avg: 4.41 / Max: 4.411. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastLinux 5.3230.4410.8821.3231.7642.205SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.961.961.961. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastLinux 5.323246810Min: 1.96 / Avg: 1.96 / Max: 1.96Min: 1.96 / Avg: 1.96 / Max: 1.96Min: 1.96 / Avg: 1.96 / Max: 1.961. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowLinux 5.3230.65481.30961.96442.61923.274SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.912.912.911. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowLinux 5.323246810Min: 2.91 / Avg: 2.91 / Max: 2.91Min: 2.91 / Avg: 2.91 / Max: 2.91Min: 2.91 / Avg: 2.91 / Max: 2.911. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumLinux 5.3230.14630.29260.43890.58520.7315SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.650.650.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumLinux 5.323246810Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.65 / Avg: 0.65 / Max: 0.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowLinux 5.3230.14630.29260.43890.58520.7315SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.650.650.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowLinux 5.323246810Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.65 / Avg: 0.65 / Max: 0.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyLinux 5.323306090120150SE +/- 0.58, N = 3157157157
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyLinux 5.323306090120150Min: 156 / Avg: 157 / Max: 158

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatLinux 5.323306090120150SE +/- 0.33, N = 3151151151
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatLinux 5.323306090120150Min: 150 / Avg: 150.67 / Max: 151

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goLinux 5.32370140210280350344344344

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.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.3233691215SE +/- 0.09, N = 3SE +/- 0.11, N = 5SE +/- 0.07, N = 39.19.19.11. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.3233691215Min: 8.9 / Avg: 9.07 / Max: 9.2Min: 8.7 / Avg: 9.1 / Max: 9.3Min: 9 / Avg: 9.07 / Max: 9.21. (CXX) g++ options: -O3 -lsnappy -lpthread

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismLinux 5.3230.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.800.800.80MIN: 0.78 / MAX: 0.85MIN: 0.78 / MAX: 0.85MIN: 0.77 / MAX: 0.85
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismLinux 5.323246810Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.79 / Avg: 0.8 / Max: 0.8

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCLinux 5.3230.1620.3240.4860.6480.81SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.720.720.72MIN: 0.71MIN: 0.7 / MAX: 0.73MIN: 0.7
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCLinux 5.323246810Min: 0.72 / Avg: 0.72 / Max: 0.72Min: 0.72 / Avg: 0.72 / Max: 0.72Min: 0.71 / Avg: 0.72 / Max: 0.72

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: vklBenchmarkLinux 5.3231428425670SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 360.9660.9660.96MIN: 1 / MAX: 210MIN: 1 / MAX: 210MIN: 1 / MAX: 211
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkLinux 5.3231224364860Min: 60.89 / Avg: 60.96 / Max: 61.11Min: 60.89 / Avg: 60.96 / Max: 61Min: 60.67 / Avg: 60.96 / Max: 61.33

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: 1080pLinux 5.3230.03690.07380.11070.14760.1845SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1640.1640.1641. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pLinux 5.32312345Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.16 / Avg: 0.16 / Max: 0.161. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pLinux 5.3230.00230.00460.00690.00920.0115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.010.010.011. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pLinux 5.32312345Min: 0.01 / Avg: 0.01 / Max: 0.01Min: 0.01 / Avg: 0.01 / Max: 0.01Min: 0.01 / Avg: 0.01 / Max: 0.011. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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: 19Linux 5.323510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 318.618.618.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.323510152025Min: 18.5 / Avg: 18.57 / Max: 18.6Min: 18.6 / Avg: 18.6 / Max: 18.6Min: 18.6 / Avg: 18.6 / Max: 18.61. (CC) gcc options: -O3 -pthread -lz -llzma

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Libdeflate 1 - Process: DecompressionLinux 5.32320040060080010009729729721. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 2 - Process: CompressionLinux 5.32340801201602001621621621. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Crush 0 - Process: DecompressionLinux 5.323100200300400500SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 34544544541. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Crush 0 - Process: DecompressionLinux 5.32380160240320400Min: 454 / Avg: 454.33 / Max: 455Min: 454 / Avg: 454.33 / Max: 455Min: 454 / Avg: 454.33 / Max: 4551. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Crush 0 - Process: CompressionLinux 5.32320406080100SE +/- 0.67, N = 3SE +/- 0.58, N = 38585851. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Crush 0 - Process: CompressionLinux 5.3231632486480Min: 84 / Avg: 84.67 / Max: 86Min: 84 / Avg: 85 / Max: 861. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 8 - Process: DecompressionLinux 5.3232004006008001000SE +/- 0.33, N = 31147114711471. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 8 - Process: DecompressionLinux 5.3232004006008001000Min: 1146 / Avg: 1146.67 / Max: 11471. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 8 - Process: CompressionLinux 5.32316324864807474741. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 1 - Process: DecompressionLinux 5.3232004006008001000SE +/- 0.33, N = 31089108910891. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 1 - Process: DecompressionLinux 5.3232004006008001000Min: 1088 / Avg: 1088.67 / Max: 10891. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 1 - Process: CompressionLinux 5.32390180270360450SE +/- 0.33, N = 34014014011. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 1 - Process: CompressionLinux 5.32370140210280350Min: 400 / Avg: 400.67 / Max: 4011. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: XZ 0 - Process: DecompressionLinux 5.323204060801001071071071. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: XZ 0 - Process: CompressionLinux 5.323816243240SE +/- 0.33, N = 33434341. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: XZ 0 - Process: CompressionLinux 5.323714212835Min: 33 / Avg: 33.67 / Max: 341. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

InfluxDB

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

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.323200K400K600K800K1000KSE +/- 16230.18, N = 12SE +/- 11222.25, N = 15SE +/- 10008.11, N = 15900526.4904292.0909744.9
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.323160K320K480K640K800KMin: 810066.4 / Avg: 900526.4 / Max: 1005319.1Min: 838986.7 / Avg: 904291.97 / Max: 997866.2Min: 869508.6 / Avg: 909744.89 / Max: 1002951.3

Apache Cassandra

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

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: ReadsLinux 5.3234K8K12K16K20KSE +/- 259.42, N = 4SE +/- 219.28, N = 3SE +/- 459.84, N = 12191131651216617
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: ReadsLinux 5.3233K6K9K12K15KMin: 18435 / Avg: 19113.25 / Max: 19566Min: 16076 / Avg: 16512 / Max: 16771Min: 13457 / Avg: 16616.58 / Max: 18401

G'MIC

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

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesLinux 5.32360120180240300SE +/- 7.26, N = 9SE +/- 12.80, N = 9SE +/- 19.93, N = 9200.51243.69284.071. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesLinux 5.32350100150200250Min: 168.73 / Avg: 200.51 / Max: 227.11Min: 182.02 / Avg: 243.69 / Max: 285.82Min: 182.33 / Avg: 284.07 / Max: 348.51. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.3235001000150020002500SE +/- 142.02, N = 12SE +/- 14.16, N = 3SE +/- 86.67, N = 152391.052186.952383.091. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.323400800120016002000Min: 2195.72 / Avg: 2391.05 / Max: 3940.37Min: 2158.69 / Avg: 2186.95 / Max: 2202.81Min: 2169.02 / Avg: 2383.09 / Max: 3467.051. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.3230.1350.270.4050.540.675SE +/- 0.03, N = 12SE +/- 0.00, N = 3SE +/- 0.02, N = 150.60.60.61. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.323246810Min: 0.3 / Avg: 0.57 / Max: 0.6Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.4 / Avg: 0.57 / Max: 0.61. (CXX) g++ options: -O3 -lsnappy -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPULinux 5.323510152025SE +/- 0.84, N = 15SE +/- 0.90, N = 12SE +/- 0.78, N = 1519.3919.6019.02MIN: 16.49MIN: 16.5MIN: 16.481. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPULinux 5.323510152025Min: 16.62 / Avg: 19.39 / Max: 24.45Min: 16.6 / Avg: 19.6 / Max: 24.61Min: 16.61 / Avg: 19.02 / Max: 24.511. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPULinux 5.3233691215SE +/- 0.00132, N = 3SE +/- 0.00712, N = 3SE +/- 0.34521, N = 158.630638.653849.01427MIN: 8.54MIN: 8.57MIN: 8.261. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPULinux 5.3233691215Min: 8.63 / Avg: 8.63 / Max: 8.63Min: 8.64 / Avg: 8.65 / Max: 8.66Min: 8.54 / Avg: 9.01 / Max: 13.841. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create FilesLinux 5.32350100150200250SE +/- 14.12, N = 12SE +/- 7.28, N = 15SE +/- 22.33, N = 12167.00167.42206.631. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create FilesLinux 5.3234080120160200Min: 114.39 / Avg: 167 / Max: 255.61Min: 118.34 / Avg: 167.42 / Max: 216.37Min: 117.03 / Avg: 206.63 / Max: 361.141. (CC) gcc options: -lm

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under LoadLinux 5.3510152025SE +/- 13914.73, N = 2019.251. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputLinux 5.32370K140K210K280K350KSE +/- 9499.69, N = 20SE +/- 3294.17, N = 25SE +/- 2917.43, N = 53389763384293251601. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputLinux 5.32360K120K180K240K300KMin: 311031 / Avg: 338975.5 / Max: 511785Min: 310120 / Avg: 338428.96 / Max: 359596Min: 320199 / Avg: 325159.8 / Max: 3354751. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

232 Results Shown

Mlpack Benchmark
Darmstadt Automotive Parallel Heterogeneous Suite
oneDNN
Stress-NG
Mlpack Benchmark
Numenta Anomaly Benchmark
oneDNN
OSBench
oneDNN
InfluxDB
Embree
Stress-NG
Embree
DaCapo Benchmark
Embree:
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon Obj
Numenta Anomaly Benchmark
BYTE Unix Benchmark
LevelDB:
  Seq Fill:
    Microseconds Per Op
    MB/s
NCNN
NeatBench
LevelDB
Apache Cassandra
LevelDB:
  Overwrite
  Rand Read
InfluxDB
Incompact3D
NAS Parallel Benchmarks
Stress-NG:
  Atomic
  Socket Activity
x265
OSBench
NCNN
PyPerformance
LULESH
Stress-NG
LevelDB
OSBench
LevelDB
NCNN:
  CPU - shufflenet-v2
  CPU - googlenet
PyPerformance
KeyDB
Stress-NG
SMHasher
NCNN
GROMACS
PyPerformance
Stress-NG
RNNoise
NCNN
NAS Parallel Benchmarks
GLmark2
Botan
LevelDB
Embree
oneDNN
Montage Astronomical Image Mosaic Engine
PyPerformance
NCNN
Stress-NG
oneDNN
OSBench
DaCapo Benchmark
NCNN
G'MIC
Stress-NG:
  Glibc Qsort Data Sorting
  CPU Stress
NCNN
oneDNN
Stress-NG
NCNN:
  CPU - yolov4-tiny
  CPU-v2-v2 - mobilenet-v2
  CPU - resnet50
OCRMyPDF
libavif avifenc
WebP Image Encode
Stress-NG
NCNN
Stress-NG
NCNN
LAMMPS Molecular Dynamics Simulator
Numenta Anomaly Benchmark
Basis Universal
PyPerformance
NAS Parallel Benchmarks
Stress-NG
Hugin
libavif avifenc:
  8
  2
lzbench
Rodinia
dav1d
Mlpack Benchmark
System GZIP Decompression
x265
NAMD
Kvazaar
oneDNN
NAS Parallel Benchmarks:
  SP.B
  BT.C
Chaos Group V-RAY
PyPerformance
Intel Open Image Denoise
Build2
Timed Linux Kernel Compilation
LevelDB
Kvazaar
Monte Carlo Simulations of Ionised Nebulae
WebP Image Encode
Numenta Anomaly Benchmark
Sockperf
TNN
Embree
lzbench
Timed Apache Compilation
PyPerformance
SMHasher
PyPerformance
Rodinia
GNU Octave Benchmark
TensorFlow Lite
Hierarchical INTegration
Crypto++
Rodinia
oneDNN
WebP Image Encode
Botan
lzbench
Basis Universal
Botan
Timed LLVM Compilation
Caffe
dav1d
SVT-AV1
NAS Parallel Benchmarks
Caffe
Crypto++
YafaRay
PyPerformance
BRL-CAD
Stress-NG
Caffe
Algebraic Multi-Grid Benchmark
SMHasher
Tesseract OCR
oneDNN
lzbench
RawTherapee
Botan
Stress-NG
oneDNN
FFTE
7-Zip Compression
Zstd Compression
PyPerformance
WebP Image Encode
oneDNN
Rodinia
libavif avifenc
Basis Universal
Darmstadt Automotive Parallel Heterogeneous Suite
Dolfyn
Caffe
Kvazaar
dav1d
LibRaw
Darmstadt Automotive Parallel Heterogeneous Suite
Botan
TensorFlow Lite
TNN
Crypto++
oneDNN
Stress-NG
Git
dav1d
Stress-NG
Mlpack Benchmark
Basis Universal
G'MIC
WebP Image Encode
eSpeak-NG Speech Engine
Stress-NG
TensorFlow Lite
Timed HMMer Search
TensorFlow Lite
SMHasher:
  fasthash32
  t1ha2_atonce
TensorFlow Lite
Rodinia
Basis Universal
SMHasher
TensorFlow Lite
SMHasher
Stress-NG
SMHasher
Kvazaar:
  Bosphorus 4K - Ultra Fast
  Bosphorus 4K - Very Fast
  Bosphorus 1080p - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Slow
PyPerformance:
  nbody
  float
  go
LevelDB
LuxCoreRender:
  Rainbow Colors and Prism
  DLSC
OpenVKL
SVT-AV1:
  Enc Mode 4 - 1080p
  Enc Mode 0 - 1080p
Zstd Compression
lzbench:
  Libdeflate 1 - Decompression
  Brotli 2 - Compression
  Crush 0 - Decompression
  Crush 0 - Compression
  Zstd 8 - Decompression
  Zstd 8 - Compression
  Zstd 1 - Decompression
  Zstd 1 - Compression
  XZ 0 - Decompression
  XZ 0 - Compression
InfluxDB
Apache Cassandra
G'MIC
LevelDB:
  Fill Sync:
    Microseconds Per Op
    MB/s
oneDNN:
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  IP Batch 1D - u8s8f32 - CPU
OSBench
Sockperf:
  Latency Under Load
  Throughput

Linux 5.3

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x42e
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)
Python Notes: Python 2.7.17 + Python 3.7.5
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Testing initiated at 16 October 2020 15:53 by user phoronix.

2

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x42e
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)
Python Notes: Python 2.7.17 + Python 3.7.5
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Testing initiated at 17 October 2020 18:04 by user phoronix.

3

Processor: Intel Core i7-4960X @ 4.00GHz (6 Cores / 12 Threads), Motherboard: MSI X79MA-GD45 (MS-7738) v1.0 (V3.8 BIOS), Chipset: Intel Xeon E7 v2/Xeon, Memory: 8GB, Disk: VisionTek 240GB, Graphics: AMD FirePro V4800 1GB, Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 19.10, Kernel: 5.3.0-40-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0.0), Compiler: GCC 9.2.1 20191008, File-System: zfs, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x42e
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)
Python Notes: Python 2.7.17 + Python 3.7.5
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Testing initiated at 18 October 2020 17:42 by user phoronix.