Ryzen 3 1300X

AMD Ryzen 3 1300X testing with a ASRock AB350 Pro4 (P3.20 BIOS) and Sapphire AMD Radeon R7 260X/360 2GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010223-FI-RYZEN313077
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Linux 5.4
October 19 2020
  17 Hours, 35 Minutes
Linux 5.9.1
October 20 2020
  17 Hours, 40 Minutes
Linux 5.10 Git
October 21 2020
  18 Hours, 30 Minutes
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  17 Hours, 55 Minutes

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Linux 5.4

Processor: AMD Ryzen 3 1300X @ 3.50GHz (4 Cores), Motherboard: ASRock AB350 Pro4 (P3.20 BIOS), Chipset: AMD 17h, Memory: 8GB, Disk: 128GB ADATA SU800, Graphics: Sapphire AMD Radeon R7 260X/360 2GB, Audio: AMD Tobago HDMI Audio, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.04, Kernel: 5.4.0-51-generic (x86_64), Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8001129
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Linux 5.9.1

OS: Ubuntu 20.04, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Linux 5.10 Git

OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201021-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Ryzen 3 1300XProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionOpenGLLinux 5.4Linux 5.9.1Linux 5.10 GitAMD Ryzen 3 1300X @ 3.50GHz (4 Cores)ASRock AB350 Pro4 (P3.20 BIOS)AMD 17h8GB128GB ADATA SU800Sapphire AMD Radeon R7 260X/360 2GBAMD Tobago HDMI AudioDELL S2409WRealtek RTL8111/8168/8411Ubuntu 20.045.4.0-51-generic (x86_64)GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.8GCC 9.3.0ext41920x10805.9.1-050901-generic (x86_64)GNOME Shell 3.36.44.5 Mesa 20.0.8 (LLVM 10.0.0)5.9.0-050900daily20201021-generic (x86_64)OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8001129Graphics Details- GLAMORJava Details- OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Details- Python 3.8.5Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Linux 5.4Linux 5.9.1Linux 5.10 GitResult OverviewPhoronix Test Suite100%114%128%141%155%LeelaChessZeroASTC EncoderLevelDBApache CouchDBKeyDBInfluxDBTimed HMMer SearchoneDNNFFTEPyPerformanceGLmark2Stress-NGBRL-CADNeatBenchLuxCoreRender7-Zip Compressiondav1deSpeak-NG Speech EnginelibrsvgSVT-VP9SVT-AV1Tesseract OCRHierarchical INTegrationTNNGROMACSBYTE Unix BenchmarkNAMDBuild2KvazaarMontage Astronomical Image Mosaic EngineBasis UniversalMobile Neural NetworkG'MICC-BloscHuginLibreOfficeTimed Linux Kernel CompilationIncompact3DLAMMPS Molecular Dynamics SimulatorNCNNChaos Group V-RAYTimed Apache CompilationAOM AV1DolfynRNNoiseZstd CompressionYafaRayx265TensorFlow LiteMlpack BenchmarkTimed GDB GNU Debugger CompilationOpenVINORodiniaWebP Image EncodeLibRawTimed MAFFT AlignmentSunflow Rendering SystemOCRMyPDFlibavif avifencRawTherapeeGNU Octave BenchmarkMonte Carlo Simulations of Ionised NebulaeCaffeDaCapo Benchmark

Ryzen 3 1300Xinfluxdb: 1024 - 10000 - 2,5000,1 - 10000lczero: Eigenbasis: UASTC Level 2 + RDO Post-Processingincompact3d: Cylinderastcenc: Exhaustivelczero: BLASrodinia: OpenMP LavaMDgromacs: Water Benchmarkyafaray: Total Time For Sample Scenebrl-cad: VGR Performance Metricsvt-av1: Enc Mode 0 - 1080pkvazaar: Bosphorus 4K - Mediumbasis: UASTC Level 3build2: Time To Compilemocassin: Dust 2D tau100.0namd: ATPase Simulation - 327,506 Atomsrodinia: OpenMP Leukocytebuild-linux-kernel: Time To Compilecaffe: GoogleNet - CPU - 200dav1d: Chimera 1080p 10-bitavifenc: 0build-gdb: Time To Compilecouchdb: 100 - 1000 - 24mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0aom-av1: Speed 0 Two-Passinfluxdb: 4 - 10000 - 2,5000,1 - 10000hint: FLOATmlpack: scikit_qdatensorflow-lite: Inception V4compress-zstd: 19tensorflow-lite: Inception ResNet V2stress-ng: MMAPkvazaar: Bosphorus 4K - Very Faststress-ng: System V Message Passinginfluxdb: 64 - 10000 - 2,5000,1 - 10000pyperformance: python_startupavifenc: 2sunflow: Global Illumination + Image Synthesisncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetbyte: Dhrystone 2caffe: GoogleNet - CPU - 100hmmer: Pfam Database Searchx265: Bosphorus 4Kgmic: 2D Function Plotting, 1000 Timesrodinia: OpenMP HotSpot3Drawtherapee: Total Benchmark Timeglmark2: 1920 x 1080pyperformance: raytracedacapobench: Tradebeansmontage: Mosaic of M17, K band, 1.5 deg x 1.5 degcaffe: AlexNet - CPU - 200gmic: 3D Elevated Function In Rand Colors, 100 Timessvt-av1: Enc Mode 4 - 1080popenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUastcenc: Thoroughmlpack: scikit_linearridgeregressiononednn: Recurrent Neural Network Inference - f32 - CPUkvazaar: Bosphorus 1080p - Mediumbasis: ETC1Sbasis: UASTC Level 2hugin: Panorama Photo Assistant + Stitching Timepyperformance: 2to3dacapobench: Tradesoapkvazaar: Bosphorus 4K - Ultra Fastopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUlibreoffice: 20 Documents To PDFmlpack: scikit_icakeydb: v-ray: CPUdav1d: Summer Nature 4Kocrmypdf: Processing 60 Page PDF Documentdav1d: Chimera 1080pluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismtensorflow-lite: SqueezeNettensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floatdacapobench: H2openvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUpyperformance: goonednn: IP Batch All - f32 - CPUlibraw: Post-Processing Benchmarkaom-av1: Speed 6 Realtimewebp: Quality 100, Lossless, Highest Compressionrodinia: OpenMP CFD Solversvt-av1: Enc Mode 8 - 1080pcaffe: AlexNet - CPU - 100stress-ng: CPU Cachestress-ng: Context Switchingespeak: Text-To-Speech Synthesisbuild-apache: Time To Compilepyperformance: regex_compileaom-av1: Speed 6 Two-Passpyperformance: pathlibonednn: Recurrent Neural Network Training - f32 - CPUcompress-zstd: 3rsvg: SVG Files To PNGrodinia: OpenMP Streamclusterkvazaar: Bosphorus 1080p - Very Fastpyperformance: django_templateaom-av1: Speed 4 Two-Passtesseract-ocr: Time To OCR 7 Imagespyperformance: json_loadsstress-ng: CPU Stressstress-ng: NUMAstress-ng: Mallocstress-ng: Cryptostress-ng: MEMFDstress-ng: Memory Copyingstress-ng: Glibc Qsort Data Sortingstress-ng: Glibc C String Functionsstress-ng: Matrix Mathstress-ng: Socket Activitystress-ng: Vector Mathstress-ng: Semaphoresstress-ng: SENDFILEstress-ng: Forkingstress-ng: Atomicpyperformance: nbodypyperformance: chaoscompress-7zip: Compress Speed Testpyperformance: pickle_pure_pythonx265: Bosphorus 1080pmlpack: scikit_svmpyperformance: floatpyperformance: crypto_pyaesgmic: Plotting Isosurface Of A 3D Volume, 1000 Timeswebp: Quality 100, Losslessastcenc: Fastaom-av1: Speed 8 Realtimernnoise: onednn: Deconvolution Batch deconv_1d - f32 - CPUdolfyn: Computational Fluid Dynamicsdav1d: Summer Nature 1080ptnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1kvazaar: Bosphorus 1080p - Ultra Fastastcenc: Mediumonednn: IP Batch 1D - f32 - CPUoctave-benchmark: mafft: Multiple Sequence Alignment - LSU RNAsvt-vp9: Visual Quality Optimized - Bosphorus 1080ponednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUblosc: blosclzbasis: UASTC Level 0dacapobench: Jythonsvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pleveldb: Seq Fillleveldb: Seq Fillavifenc: 8leveldb: Rand Deletewebp: Quality 100, Highest Compressionavifenc: 10lammps: Rhodopsin Proteinonednn: Convolution Batch Shapes Auto - f32 - CPUneatbench: CPUffte: N=256, 3D Complex FFT Routineonednn: Deconvolution Batch deconv_3d - f32 - CPUwebp: Quality 100leveldb: Overwriteleveldb: Overwriteleveldb: Seek Randleveldb: Fill Syncleveldb: Fill Syncwebp: Defaultleveldb: Rand Fillleveldb: Rand Fillleveldb: Hot Readleveldb: Rand ReadLinux 5.4Linux 5.9.1Linux 5.10 Git19159.9441802.153762.243673678.88432619.2390.350481.606316340.0491.60180.005340.1593176.51693293.281282.03123307756.22226.077209.169203.95077.20010.1977.40557.22114.1120.16708303.6318172818.5392683.21598758315.354321505.794.303194317.08778544.616.6134.6393.43960.7562.6225.0728.09103.5031.072.1514.069.386.668.429.2839.2134.2237037826.9116659113.7645.13112.714113.672110.0242030639399796.4559409893.0150.8809784.940.419779.720.4183.866.38317.4187.1384.24484.29181.374435109917.596312.550.636320.550.639.01468.08243083.62387457.3066.168181.780.500.5741950930451230390928357038462.301733.592.301733.37319178.99621.3710.9350.74449.7846.9454686647.02997029.2334.56042.6042102.3523864.1972751.335.69035.28417.6573.71.4531.74532.31214.2479.5515780304.36849.32103.321962.4743.14368841.3416244.772650.8822346.76316527.2346372.0118307.82304850.381591481629963422.0022.7314013424.82224.4685.6025.9821.86717.595520.579179.62290.385286.62130.8413.2115.22678.34213.64549.976.309425700.111.748599162.2563.1617.66625.08.70716.7238.4667.9802.77319.17557.2020167.48400764725.00822.68717.72624.92.2082356.9770.21.78117.74924.81.6641.644293810.933756.603475678.55289619.5380.354481.818322210.0491.59172.387341.2113176.53697292.969283.74123287555.70225.281208.483198.71976.61710.1827.31856.91313.8440.16663064.6317966577.6884684.55596431015.454101676.454.243431597.32760573.310.8134.3173.43059.5762.2424.9727.99104.4931.222.1514.109.366.668.399.2838.3532.4837079861.2117158118.5785.16115.067113.980109.8772076639405896.9639372193.0600.8779777.680.419760.430.4183.546.37314.4036.9884.99384.36280.871436112117.576305.720.636320.390.639.07968.21235981.19384754.9066.298182.270.500.5741774930356030159128232337462.261765.022.281737.83319177.77921.4311.0450.51849.1846.7544691845.341178233.4935.06742.8412102.3523.3860.8972753.035.39834.95817.4674.21.4631.45532.31216.7264.7415798673.93840.1996.701967.9043.02371689.9516243.992402.2222371.56268049.6545502.2818000.85304317.831581481639263722.0822.6313813524.80624.4505.5826.2421.81016.976720.469177.97286.147284.57330.6313.2014.65328.34813.68549.626.251445649.211.707595261.4962.2718.93323.38.73117.5328.4567.9522.76119.19227.0620940.10243154722.46822.72119.39522.72.3742281.3050.21.78219.41122.81.7941.81241400.2283798.869764.678101677.99279619.7190.354478.880322790.0491.60172.355343.5663176.46667293.036284.22223292755.54224.396209.004194.28676.81510.1877.31256.78513.8870.16685094.0314508265.6293584.94596451015.454110136.624.254269857.66756047.510.8134.0973.44059.4062.3725.1528.05103.6630.992.1514.119.376.668.409.2538.3432.6036670538.0116648118.6735.14116.455114.005109.9482073638408497.4009372393.0260.8749786.970.419764.850.4183.516.39294.4927.0584.19484.27281.586434112017.536301.060.636301.440.639.00167.74231492.24386654.6066.283181.940.490.5641793130357830339828226137612.291727.772.311727.62319176.89621.4411.0050.18449.0586.7444694144.301199590.6034.93342.8732092.3523.3857.8932761.535.22634.96017.4673.51.4531.37132.21216.9167.0915835328.30850.3593.751954.8343.23367272.2516265.102392.2222385.34267417.5844414.7121463.25304118.871591471659363622.0922.7013813424.70724.5938.2126.3321.75117.036420.527178.17284.558285.26830.4813.1914.67538.35013.65649.546.231305652.811.773593161.1662.5019.09223.18.74717.7208.4737.9762.78118.47237.1820885.86697801022.88782.68020.05322.02.3762190.1270.21.77319.95322.11.7991.794OpenBenchmarking.org

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 5.4Linux 5.10 Git9K18K27K36K45KSE +/- 8014.44, N = 8SE +/- 13950.12, N = 919159.941400.2
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.10 Git7K14K21K28K35KMin: 3255.1 / Avg: 19159.86 / Max: 73061.4Min: 882.5 / Avg: 41400.22 / Max: 117929.3

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.9.1Linux 5.10 Git100200300400500SE +/- 4.91, N = 3SE +/- 5.72, N = 9SE +/- 6.34, N = 94412932831. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.9.1Linux 5.10 Git80160240320400Min: 431 / Avg: 440.67 / Max: 447Min: 260 / Avg: 293.11 / Max: 318Min: 261 / Avg: 283.22 / Max: 3171. (CXX) g++ options: -flto -pthread

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 5.4Linux 5.9.1Linux 5.10 Git2004006008001000SE +/- 1.87, N = 3SE +/- 0.55, N = 3SE +/- 1.47, N = 3802.15810.93798.871. (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 5.4Linux 5.9.1Linux 5.10 Git140280420560700Min: 799.47 / Avg: 802.15 / Max: 805.76Min: 809.85 / Avg: 810.93 / Max: 811.61Min: 796.55 / Avg: 798.87 / Max: 801.581. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 5.4Linux 5.9.1Linux 5.10 Git160320480640800SE +/- 5.06, N = 3SE +/- 5.32, N = 3SE +/- 11.35, N = 3762.24756.60764.681. (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 5.4Linux 5.9.1Linux 5.10 Git130260390520650Min: 752.2 / Avg: 762.24 / Max: 768.24Min: 749.96 / Avg: 756.6 / Max: 767.13Min: 744.16 / Avg: 764.68 / Max: 783.361. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.4Linux 5.9.1Linux 5.10 Git150300450600750SE +/- 0.32, N = 3SE +/- 1.51, N = 3SE +/- 0.46, N = 3678.88678.55677.991. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.4Linux 5.9.1Linux 5.10 Git120240360480600Min: 678.29 / Avg: 678.88 / Max: 679.39Min: 676.82 / Avg: 678.55 / Max: 681.56Min: 677.32 / Avg: 677.99 / Max: 678.871. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.9.1Linux 5.10 Git90180270360450SE +/- 4.33, N = 3SE +/- 7.71, N = 94322892791. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.9.1Linux 5.10 Git80160240320400Min: 428 / Avg: 432.33 / Max: 441Min: 255 / Avg: 289 / Max: 3201. (CXX) g++ options: -flto -pthread

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.4Linux 5.9.1Linux 5.10 Git130260390520650SE +/- 1.33, N = 3SE +/- 1.90, N = 3SE +/- 2.70, N = 3619.24619.54619.721. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.4Linux 5.9.1Linux 5.10 Git110220330440550Min: 616.68 / Avg: 619.24 / Max: 621.15Min: 616.89 / Avg: 619.54 / Max: 623.23Min: 617.01 / Avg: 619.72 / Max: 625.121. (CXX) g++ options: -O2 -lOpenCL

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 5.4Linux 5.9.1Linux 5.10 Git0.07970.15940.23910.31880.3985SE +/- 0.003, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.3500.3540.3541. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4Linux 5.9.1Linux 5.10 Git12345Min: 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

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 5.4Linux 5.9.1Linux 5.10 Git100200300400500SE +/- 1.62, N = 3SE +/- 1.20, N = 3SE +/- 1.21, N = 3481.61481.82478.881. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneLinux 5.4Linux 5.9.1Linux 5.10 Git90180270360450Min: 478.63 / Avg: 481.61 / Max: 484.19Min: 479.66 / Avg: 481.82 / Max: 483.82Min: 477.31 / Avg: 478.88 / Max: 481.251. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

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 5.4Linux 5.9.1Linux 5.10 Git7K14K21K28K35K3163432221322791. (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 -lpthread -ldl -luuid -lm

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git0.0110.0220.0330.0440.055SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0490.0490.0491. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git12345Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.051. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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: MediumLinux 5.4Linux 5.9.1Linux 5.10 Git0.360.721.081.441.8SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.601.591.601. (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 5.4Linux 5.9.1Linux 5.10 Git246810Min: 1.6 / Avg: 1.6 / Max: 1.61Min: 1.59 / Avg: 1.59 / Max: 1.6Min: 1.59 / Avg: 1.6 / Max: 1.61. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5.4Linux 5.9.1Linux 5.10 Git4080120160200SE +/- 4.66, N = 12SE +/- 0.05, N = 3SE +/- 0.08, N = 3180.01172.39172.361. (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 5.4Linux 5.9.1Linux 5.10 Git306090120150Min: 172.26 / Avg: 180.01 / Max: 224.51Min: 172.29 / Avg: 172.39 / Max: 172.44Min: 172.23 / Avg: 172.36 / Max: 172.521. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 5.4Linux 5.9.1Linux 5.10 Git70140210280350SE +/- 0.57, N = 3SE +/- 0.95, N = 3SE +/- 1.32, N = 3340.16341.21343.57
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileLinux 5.4Linux 5.9.1Linux 5.10 Git60120180240300Min: 339.41 / Avg: 340.16 / Max: 341.29Min: 339.44 / Avg: 341.21 / Max: 342.68Min: 341.22 / Avg: 343.57 / Max: 345.78

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 5.4Linux 5.9.1Linux 5.10 Git70140210280350SE +/- 1.00, N = 33173173171. (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 5.4Linux 5.9.1Linux 5.10 Git60120180240300Min: 316 / Avg: 317 / Max: 3191. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.00779, N = 3SE +/- 0.01168, N = 3SE +/- 0.00817, N = 36.516936.536976.46667
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 6.51 / Avg: 6.52 / Max: 6.53Min: 6.52 / Avg: 6.54 / Max: 6.56Min: 6.45 / Avg: 6.47 / Max: 6.48

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 5.4Linux 5.9.1Linux 5.10 Git60120180240300SE +/- 0.67, N = 3SE +/- 0.29, N = 3SE +/- 0.28, N = 3293.28292.97293.041. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteLinux 5.4Linux 5.9.1Linux 5.10 Git50100150200250Min: 292.55 / Avg: 293.28 / Max: 294.63Min: 292.62 / Avg: 292.97 / Max: 293.54Min: 292.54 / Avg: 293.04 / Max: 293.51. (CXX) g++ options: -O2 -lOpenCL

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 5.4Linux 5.9.1Linux 5.10 Git60120180240300SE +/- 0.79, N = 3SE +/- 0.86, N = 3SE +/- 0.83, N = 3282.03283.74284.22
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileLinux 5.4Linux 5.9.1Linux 5.10 Git50100150200250Min: 281.22 / Avg: 282.03 / Max: 283.61Min: 282.87 / Avg: 283.74 / Max: 285.47Min: 283.28 / Avg: 284.22 / Max: 285.89

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 5.4Linux 5.9.1Linux 5.10 Git50K100K150K200K250KSE +/- 785.08, N = 3SE +/- 584.28, N = 3SE +/- 182.54, N = 32330772328752329271. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.9.1Linux 5.10 Git40K80K120K160K200KMin: 232217 / Avg: 233077.33 / Max: 234645Min: 231746 / Avg: 232875.33 / Max: 233700Min: 232569 / Avg: 232927.33 / Max: 2331671. (CXX) g++ options: -fPIC -O3 -rdynamic -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 1080p 10-bitLinux 5.4Linux 5.9.1Linux 5.10 Git1326395265SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 356.2255.7055.54MIN: 38.47 / MAX: 125.61MIN: 38.1 / MAX: 122.2MIN: 38.02 / MAX: 121.841. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitLinux 5.4Linux 5.9.1Linux 5.10 Git1122334455Min: 56.09 / Avg: 56.22 / Max: 56.29Min: 55.43 / Avg: 55.7 / Max: 55.85Min: 55.47 / Avg: 55.54 / Max: 55.651. (CC) gcc options: -pthread -ldl -lm

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 5.4Linux 5.9.1Linux 5.10 Git50100150200250SE +/- 0.82, N = 3SE +/- 0.37, N = 3SE +/- 0.50, N = 3226.08225.28224.401. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.4Linux 5.9.1Linux 5.10 Git4080120160200Min: 224.82 / Avg: 226.08 / Max: 227.62Min: 224.8 / Avg: 225.28 / Max: 226.01Min: 223.51 / Avg: 224.4 / Max: 225.231. (CXX) g++ options: -O3 -fPIC

Timed GDB GNU Debugger Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileLinux 5.4Linux 5.9.1Linux 5.10 Git50100150200250SE +/- 0.27, N = 3SE +/- 0.14, N = 3SE +/- 0.29, N = 3209.17208.48209.00
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileLinux 5.4Linux 5.9.1Linux 5.10 Git4080120160200Min: 208.75 / Avg: 209.17 / Max: 209.68Min: 208.24 / Avg: 208.48 / Max: 208.72Min: 208.52 / Avg: 209 / Max: 209.53

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.4Linux 5.9.1Linux 5.10 Git4080120160200SE +/- 0.82, N = 3SE +/- 0.73, N = 3SE +/- 1.38, N = 3203.95198.72194.291. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.4Linux 5.9.1Linux 5.10 Git4080120160200Min: 202.39 / Avg: 203.95 / Max: 205.18Min: 197.6 / Avg: 198.72 / Max: 200.1Min: 191.93 / Avg: 194.29 / Max: 196.721. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.10, N = 3SE +/- 0.31, N = 3SE +/- 0.43, N = 377.2076.6276.82MIN: 76.5 / MAX: 134.4MIN: 75.63 / MAX: 89.84MIN: 75.8 / MAX: 89.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.9.1Linux 5.10 Git1530456075Min: 77.09 / Avg: 77.2 / Max: 77.4Min: 76.02 / Avg: 76.62 / Max: 77.06Min: 75.99 / Avg: 76.82 / Max: 77.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.9.1Linux 5.10 Git3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.2010.1810.19MIN: 10.05 / MAX: 22.26MIN: 10.12 / MAX: 23.11MIN: 10.13 / MAX: 22.161. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 10.16 / Avg: 10.2 / Max: 10.22Min: 10.16 / Avg: 10.18 / Max: 10.2Min: 10.17 / Avg: 10.19 / Max: 10.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.006, N = 3SE +/- 0.029, N = 3SE +/- 0.040, N = 37.4057.3187.312MIN: 7.31 / MAX: 9.26MIN: 7.21 / MAX: 20.3MIN: 7.17 / MAX: 19.451. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 7.4 / Avg: 7.41 / Max: 7.42Min: 7.26 / Avg: 7.32 / Max: 7.36Min: 7.23 / Avg: 7.31 / Max: 7.351. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.9.1Linux 5.10 Git1326395265SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 357.2256.9156.79MIN: 56.58 / MAX: 159.3MIN: 56.33 / MAX: 109.46MIN: 56.21 / MAX: 781. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.9.1Linux 5.10 Git1122334455Min: 57.05 / Avg: 57.22 / Max: 57.55Min: 56.81 / Avg: 56.91 / Max: 57Min: 56.69 / Avg: 56.79 / Max: 56.851. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.4Linux 5.9.1Linux 5.10 Git48121620SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 314.1113.8413.89MIN: 13.83 / MAX: 17.93MIN: 13.75 / MAX: 15.88MIN: 13.77 / MAX: 16.561. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.4Linux 5.9.1Linux 5.10 Git48121620Min: 13.95 / Avg: 14.11 / Max: 14.27Min: 13.83 / Avg: 13.84 / Max: 13.87Min: 13.87 / Avg: 13.89 / Max: 13.91. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.4Linux 5.9.1Linux 5.10 Git0.0360.0720.1080.1440.18SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 150.160.160.161. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.4Linux 5.9.1Linux 5.10 Git12345Min: 0.16 / Avg: 0.16 / Max: 0.17Min: 0.16 / Avg: 0.16 / Max: 0.17Min: 0.16 / Avg: 0.16 / Max: 0.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.9.1Linux 5.10 Git150K300K450K600K750KSE +/- 7077.48, N = 3SE +/- 9563.32, N = 4SE +/- 1457.21, N = 3708303.6663064.6685094.0
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.9.1Linux 5.10 Git120K240K360K480K600KMin: 694273.3 / Avg: 708303.63 / Max: 716941.9Min: 639495.1 / Avg: 663064.6 / Max: 685868.5Min: 682547.7 / Avg: 685094 / Max: 687595

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 5.4Linux 5.9.1Linux 5.10 Git70M140M210M280M350MSE +/- 1439352.37, N = 3SE +/- 2419757.91, N = 3SE +/- 806993.23, N = 3318172818.54317966577.69314508265.631. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.4Linux 5.9.1Linux 5.10 Git60M120M180M240M300MMin: 316602924.07 / Avg: 318172818.54 / Max: 321047449.79Min: 314523559.06 / Avg: 317966577.69 / Max: 322633405.68Min: 313660017.77 / Avg: 314508265.63 / Max: 316121536.691. (CC) gcc options: -O3 -march=native -lm

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 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.18, N = 3SE +/- 0.27, N = 3SE +/- 0.29, N = 383.2184.5584.94
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.9.1Linux 5.10 Git1632486480Min: 82.86 / Avg: 83.21 / Max: 83.47Min: 84.06 / Avg: 84.55 / Max: 84.97Min: 84.36 / Avg: 84.94 / Max: 85.3

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 5.4Linux 5.9.1Linux 5.10 Git1.3M2.6M3.9M5.2M6.5MSE +/- 573.65, N = 3SE +/- 180.83, N = 3SE +/- 200.00, N = 3598758359643105964510
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.4Linux 5.9.1Linux 5.10 Git1000K2000K3000K4000K5000KMin: 5986470 / Avg: 5987583.33 / Max: 5988380Min: 5963950 / Avg: 5964310 / Max: 5964520Min: 5964310 / Avg: 5964510 / Max: 5964910

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 5.4Linux 5.9.1Linux 5.10 Git48121620SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 315.315.415.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.4Linux 5.9.1Linux 5.10 Git48121620Min: 15.3 / Avg: 15.33 / Max: 15.4Min: 15.4 / Avg: 15.4 / Max: 15.4Min: 15.4 / Avg: 15.4 / Max: 15.41. (CC) gcc options: -O3 -pthread -lz -llzma

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 5.4Linux 5.9.1Linux 5.10 Git1.2M2.4M3.6M4.8M6MSE +/- 548.09, N = 3SE +/- 578.92, N = 3SE +/- 503.47, N = 3543215054101675411013
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.4Linux 5.9.1Linux 5.10 Git900K1800K2700K3600K4500KMin: 5431330 / Avg: 5432150 / Max: 5433190Min: 5409010 / Avg: 5410166.67 / Max: 5410790Min: 5410490 / Avg: 5411013.33 / Max: 5412020

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 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.23, N = 15SE +/- 0.17, N = 15SE +/- 0.13, N = 155.796.456.621. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPLinux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 4.7 / Avg: 5.79 / Max: 8.2Min: 4.93 / Avg: 6.45 / Max: 7.73Min: 5.83 / Avg: 6.62 / Max: 7.81. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastLinux 5.4Linux 5.9.1Linux 5.10 Git0.96751.9352.90253.874.8375SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.304.244.251. (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 5.4Linux 5.9.1Linux 5.10 Git246810Min: 4.29 / Avg: 4.3 / Max: 4.31Min: 4.24 / Avg: 4.24 / Max: 4.25Min: 4.24 / Avg: 4.25 / Max: 4.261. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -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: System V Message PassingLinux 5.4Linux 5.9.1Linux 5.10 Git900K1800K2700K3600K4500KSE +/- 236092.88, N = 12SE +/- 44477.87, N = 15SE +/- 97114.56, N = 153194317.083431597.324269857.661. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message PassingLinux 5.4Linux 5.9.1Linux 5.10 Git700K1400K2100K2800K3500KMin: 2248723.33 / Avg: 3194317.08 / Max: 5497872.65Min: 3099321.5 / Avg: 3431597.32 / Max: 3663714.93Min: 3565692.73 / Avg: 4269857.66 / Max: 4905260.331. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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 5.4Linux 5.9.1Linux 5.10 Git200K400K600K800K1000KSE +/- 2206.20, N = 3SE +/- 1650.52, N = 3SE +/- 3404.87, N = 3778544.6760573.3756047.5
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.9.1Linux 5.10 Git130K260K390K520K650KMin: 776317.6 / Avg: 778544.57 / Max: 782956.9Min: 758419.4 / Avg: 760573.27 / Max: 763816.6Min: 749939.1 / Avg: 756047.53 / Max: 761708.4

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 5.4Linux 5.9.1Linux 5.10 Git48121620SE +/- 0.18, N = 7SE +/- 0.00, N = 3SE +/- 0.03, N = 316.610.810.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupLinux 5.4Linux 5.9.1Linux 5.10 Git48121620Min: 15.9 / Avg: 16.6 / Max: 16.9Min: 10.8 / Avg: 10.8 / Max: 10.8Min: 10.7 / Avg: 10.77 / Max: 10.8

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: 2Linux 5.4Linux 5.9.1Linux 5.10 Git306090120150SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.52, N = 3134.64134.32134.101. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.4Linux 5.9.1Linux 5.10 Git306090120150Min: 134.53 / Avg: 134.64 / Max: 134.75Min: 133.94 / Avg: 134.32 / Max: 134.53Min: 133.29 / Avg: 134.1 / Max: 135.081. (CXX) g++ options: -O3 -fPIC

Sunflow Rendering System

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisLinux 5.4Linux 5.9.1Linux 5.10 Git0.7741.5482.3223.0963.87SE +/- 0.050, N = 4SE +/- 0.048, N = 15SE +/- 0.032, N = 153.4393.4303.440MIN: 3.02 / MAX: 4.18MIN: 3.02 / MAX: 4.29MIN: 2.93 / MAX: 4.32
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 3.3 / Avg: 3.44 / Max: 3.53Min: 3.23 / Avg: 3.43 / Max: 3.95Min: 3.26 / Avg: 3.44 / Max: 3.68

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 5.4Linux 5.9.1Linux 5.10 Git1428425670SE +/- 0.31, N = 3SE +/- 0.13, N = 3SE +/- 0.19, N = 360.7559.5759.40MIN: 51.09 / MAX: 134.68MIN: 51.51 / MAX: 66.18MIN: 51.27 / MAX: 86.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.9.1Linux 5.10 Git1224364860Min: 60.23 / Avg: 60.75 / Max: 61.29Min: 59.42 / Avg: 59.57 / Max: 59.83Min: 59.04 / Avg: 59.4 / Max: 59.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.9.1Linux 5.10 Git1428425670SE +/- 0.38, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 362.6262.2462.37MIN: 60.93 / MAX: 99.21MIN: 61.41 / MAX: 88.16MIN: 61.54 / MAX: 65.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.9.1Linux 5.10 Git1224364860Min: 61.87 / Avg: 62.62 / Max: 63.03Min: 62 / Avg: 62.24 / Max: 62.44Min: 62.1 / Avg: 62.37 / Max: 62.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.9.1Linux 5.10 Git612182430SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 325.0724.9725.15MIN: 24.46 / MAX: 33.02MIN: 24.62 / MAX: 36.03MIN: 24.71 / MAX: 35.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.9.1Linux 5.10 Git612182430Min: 24.99 / Avg: 25.07 / Max: 25.16Min: 24.94 / Avg: 24.97 / Max: 25.01Min: 25.12 / Avg: 25.15 / Max: 25.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.9.1Linux 5.10 Git714212835SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 328.0927.9928.05MIN: 27.69 / MAX: 51.11MIN: 27.7 / MAX: 46.07MIN: 27.79 / MAX: 61.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.9.1Linux 5.10 Git612182430Min: 28.03 / Avg: 28.09 / Max: 28.17Min: 27.82 / Avg: 27.99 / Max: 28.11Min: 27.99 / Avg: 28.05 / Max: 28.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3103.50104.49103.66MIN: 101.62 / MAX: 131.33MIN: 103.46 / MAX: 108.77MIN: 102.68 / MAX: 107.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.9.1Linux 5.10 Git20406080100Min: 103.42 / Avg: 103.5 / Max: 103.56Min: 104.44 / Avg: 104.49 / Max: 104.53Min: 103.5 / Avg: 103.66 / Max: 103.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.9.1Linux 5.10 Git714212835SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 331.0731.2230.99MIN: 30.38 / MAX: 45.48MIN: 30.48 / MAX: 123.81MIN: 30.42 / MAX: 51.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.9.1Linux 5.10 Git714212835Min: 30.91 / Avg: 31.07 / Max: 31.27Min: 30.99 / Avg: 31.22 / Max: 31.65Min: 30.95 / Avg: 30.99 / Max: 31.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.9.1Linux 5.10 Git0.48380.96761.45141.93522.419SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.152.152.15MIN: 2.08 / MAX: 3.05MIN: 2.11 / MAX: 4.63MIN: 2.11 / MAX: 4.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 2.14 / Avg: 2.15 / Max: 2.16Min: 2.14 / Avg: 2.15 / Max: 2.17Min: 2.14 / Avg: 2.15 / Max: 2.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.9.1Linux 5.10 Git48121620SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 314.0614.1014.11MIN: 13.81 / MAX: 26.67MIN: 14.01 / MAX: 15.64MIN: 14 / MAX: 14.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.9.1Linux 5.10 Git48121620Min: 13.95 / Avg: 14.06 / Max: 14.13Min: 14.09 / Avg: 14.1 / Max: 14.11Min: 14.08 / Avg: 14.11 / Max: 14.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.9.1Linux 5.10 Git3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 39.389.369.37MIN: 9.23 / MAX: 10.34MIN: 9.29 / MAX: 10.4MIN: 9.3 / MAX: 10.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 9.32 / Avg: 9.38 / Max: 9.44Min: 9.34 / Avg: 9.36 / Max: 9.39Min: 9.36 / Avg: 9.37 / Max: 9.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.666.666.66MIN: 6.45 / MAX: 16.83MIN: 6.61 / MAX: 6.9MIN: 6.6 / MAX: 7.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 6.64 / Avg: 6.66 / Max: 6.67Min: 6.65 / Avg: 6.66 / Max: 6.68Min: 6.65 / Avg: 6.66 / Max: 6.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.428.398.40MIN: 8.2 / MAX: 25.36MIN: 8.32 / MAX: 9.97MIN: 8.31 / MAX: 10.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 8.33 / Avg: 8.42 / Max: 8.5Min: 8.38 / Avg: 8.39 / Max: 8.4Min: 8.38 / Avg: 8.4 / Max: 8.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.9.1Linux 5.10 Git3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 39.289.289.25MIN: 9.05 / MAX: 22.88MIN: 9.17 / MAX: 20.47MIN: 9.18 / MAX: 10.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 9.24 / Avg: 9.28 / Max: 9.34Min: 9.25 / Avg: 9.28 / Max: 9.32Min: 9.25 / Avg: 9.25 / Max: 9.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.9.1Linux 5.10 Git918273645SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 339.2138.3538.34MIN: 37.49 / MAX: 71.54MIN: 36.8 / MAX: 56.64MIN: 36.65 / MAX: 42.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.9.1Linux 5.10 Git816243240Min: 38.96 / Avg: 39.21 / Max: 39.39Min: 38.07 / Avg: 38.35 / Max: 38.52Min: 38.24 / Avg: 38.34 / Max: 38.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.9.1Linux 5.10 Git816243240SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 334.2232.4832.60MIN: 31.98 / MAX: 75.66MIN: 32.02 / MAX: 54.08MIN: 32.06 / MAX: 74.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.9.1Linux 5.10 Git714212835Min: 34.05 / Avg: 34.22 / Max: 34.34Min: 32.34 / Avg: 32.48 / Max: 32.71Min: 32.45 / Avg: 32.6 / Max: 32.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 5.4Linux 5.9.1Linux 5.10 Git8M16M24M32M40MSE +/- 135904.30, N = 3SE +/- 103791.21, N = 3SE +/- 134932.02, N = 337037826.937079861.236670538.0
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.4Linux 5.9.1Linux 5.10 Git6M12M18M24M30MMin: 36766888.7 / Avg: 37037826.87 / Max: 37192119.2Min: 36924685.8 / Avg: 37079861.23 / Max: 37276857Min: 36411707.5 / Avg: 36670538.03 / Max: 36866097.2

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 5.4Linux 5.9.1Linux 5.10 Git30K60K90K120K150KSE +/- 374.28, N = 3SE +/- 305.63, N = 3SE +/- 28.30, N = 31166591171581166481. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.9.1Linux 5.10 Git20K40K60K80K100KMin: 116148 / Avg: 116658.67 / Max: 117388Min: 116837 / Avg: 117158 / Max: 117769Min: 116600 / Avg: 116648.33 / Max: 1166981. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5.4Linux 5.9.1Linux 5.10 Git306090120150SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.18, N = 3113.76118.58118.671. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4Linux 5.9.1Linux 5.10 Git20406080100Min: 113.53 / Avg: 113.76 / Max: 113.9Min: 118.26 / Avg: 118.58 / Max: 119.06Min: 118.43 / Avg: 118.67 / Max: 119.011. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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 5.4Linux 5.9.1Linux 5.10 Git1.1612.3223.4834.6445.805SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.135.165.141. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 5.13 / Avg: 5.13 / Max: 5.14Min: 5.15 / Avg: 5.16 / Max: 5.17Min: 5.13 / Avg: 5.14 / Max: 5.151. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 5.4Linux 5.9.1Linux 5.10 Git306090120150SE +/- 0.56, N = 3SE +/- 0.52, N = 3SE +/- 0.31, N = 3112.71115.07116.461. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesLinux 5.4Linux 5.9.1Linux 5.10 Git20406080100Min: 111.6 / Avg: 112.71 / Max: 113.44Min: 114.15 / Avg: 115.07 / Max: 115.97Min: 115.83 / Avg: 116.46 / Max: 116.831. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 5.4Linux 5.9.1Linux 5.10 Git306090120150SE +/- 0.97, N = 3SE +/- 0.49, N = 3SE +/- 1.21, N = 3113.67113.98114.011. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DLinux 5.4Linux 5.9.1Linux 5.10 Git20406080100Min: 111.85 / Avg: 113.67 / Max: 115.17Min: 113.47 / Avg: 113.98 / Max: 114.96Min: 111.85 / Avg: 114 / Max: 116.051. (CXX) g++ options: -O2 -lOpenCL

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 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3110.02109.88109.951. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeLinux 5.4Linux 5.9.1Linux 5.10 Git20406080100Min: 109.92 / Avg: 110.02 / Max: 110.17Min: 109.78 / Avg: 109.88 / Max: 109.95Min: 109.8 / Avg: 109.95 / Max: 110.141. RawTherapee, version 5.8, command line.

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 5.4Linux 5.9.1Linux 5.10 Git400800120016002000203020762073

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 5.4Linux 5.9.1Linux 5.10 Git140280420560700SE +/- 0.67, N = 3SE +/- 0.88, N = 3639639638
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceLinux 5.4Linux 5.9.1Linux 5.10 Git110220330440550Min: 638 / Avg: 639.33 / Max: 640Min: 637 / Avg: 638.33 / Max: 640

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: TradebeansLinux 5.4Linux 5.9.1Linux 5.10 Git9001800270036004500SE +/- 22.41, N = 4SE +/- 32.31, N = 20SE +/- 44.30, N = 20399740584084
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansLinux 5.4Linux 5.9.1Linux 5.10 Git7001400210028003500Min: 3939 / Avg: 3996.5 / Max: 4039Min: 3798 / Avg: 4058.2 / Max: 4350Min: 3754 / Avg: 4084.45 / Max: 4561

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 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.23, N = 396.4696.9697.401. (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 5.4Linux 5.9.1Linux 5.10 Git20406080100Min: 96.39 / Avg: 96.45 / Max: 96.53Min: 96.63 / Avg: 96.96 / Max: 97.23Min: 97.11 / Avg: 97.4 / Max: 97.851. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

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 5.4Linux 5.9.1Linux 5.10 Git20K40K60K80K100KSE +/- 172.40, N = 3SE +/- 52.00, N = 3SE +/- 52.66, N = 39409893721937231. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.9.1Linux 5.10 Git16K32K48K64K80KMin: 93759 / Avg: 94098 / Max: 94322Min: 93618 / Avg: 93721 / Max: 93785Min: 93658 / Avg: 93722.67 / Max: 938271. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 393.0293.0693.031. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesLinux 5.4Linux 5.9.1Linux 5.10 Git20406080100Min: 92.66 / Avg: 93.02 / Max: 93.3Min: 92.81 / Avg: 93.06 / Max: 93.34Min: 92.84 / Avg: 93.03 / Max: 93.151. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 5.4Linux 5.9.1Linux 5.10 Git0.1980.3960.5940.7920.99SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 30.8800.8770.8741. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 0.88 / Avg: 0.88 / Max: 0.88Min: 0.88 / Avg: 0.88 / Max: 0.88Min: 0.87 / Avg: 0.87 / Max: 0.881. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git2K4K6K8K10KSE +/- 4.65, N = 3SE +/- 0.66, N = 3SE +/- 4.22, N = 39784.949777.689786.97
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git2K4K6K8K10KMin: 9778.84 / Avg: 9784.94 / Max: 9794.07Min: 9776.59 / Avg: 9777.68 / Max: 9778.87Min: 9780.44 / Avg: 9786.97 / Max: 9794.86

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git0.09230.18460.27690.36920.4615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.410.410.41
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git12345Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.41 / Avg: 0.41 / Max: 0.41

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git2K4K6K8K10KSE +/- 12.68, N = 3SE +/- 13.78, N = 3SE +/- 11.08, N = 39779.729760.439764.85
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git2K4K6K8K10KMin: 9766.7 / Avg: 9779.72 / Max: 9805.07Min: 9746.61 / Avg: 9760.43 / Max: 9787.99Min: 9742.72 / Avg: 9764.85 / Max: 9776.99

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git0.09230.18460.27690.36920.4615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.410.410.41
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git12345Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.41 / Avg: 0.41 / Max: 0.41

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 383.8683.5483.511. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.4Linux 5.9.1Linux 5.10 Git1632486480Min: 83.69 / Avg: 83.86 / Max: 84.18Min: 83.5 / Avg: 83.54 / Max: 83.58Min: 83.45 / Avg: 83.51 / Max: 83.581. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.386.376.39
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 6.37 / Avg: 6.38 / Max: 6.4Min: 6.35 / Avg: 6.37 / Max: 6.39Min: 6.36 / Avg: 6.39 / Max: 6.42

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 5.4Linux 5.9.1Linux 5.10 Git70140210280350SE +/- 0.98, N = 3SE +/- 0.31, N = 3SE +/- 4.30, N = 15317.42314.40294.49MIN: 312.45MIN: 311.49MIN: 277.971. (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 5.4Linux 5.9.1Linux 5.10 Git60120180240300Min: 316.36 / Avg: 317.42 / Max: 319.37Min: 314.09 / Avg: 314.4 / Max: 315.02Min: 280.5 / Avg: 294.49 / Max: 314.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 37.136.987.051. (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 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 7.13 / Avg: 7.13 / Max: 7.14Min: 6.85 / Avg: 6.98 / Max: 7.06Min: 7.04 / Avg: 7.05 / Max: 7.061. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.09, N = 3SE +/- 0.94, N = 3SE +/- 0.21, N = 384.2484.9984.191. (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 5.4Linux 5.9.1Linux 5.10 Git1632486480Min: 84.1 / Avg: 84.24 / Max: 84.42Min: 83.94 / Avg: 84.99 / Max: 86.87Min: 83.97 / Avg: 84.19 / Max: 84.611. (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 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 384.2984.3684.271. (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 5.4Linux 5.9.1Linux 5.10 Git1632486480Min: 84.28 / Avg: 84.29 / Max: 84.31Min: 84.33 / Avg: 84.36 / Max: 84.43Min: 84.21 / Avg: 84.27 / Max: 84.331. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Hugin

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

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeLinux 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.21, N = 3SE +/- 0.75, N = 3SE +/- 0.58, N = 381.3780.8781.59
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeLinux 5.4Linux 5.9.1Linux 5.10 Git1632486480Min: 81.05 / Avg: 81.37 / Max: 81.76Min: 79.37 / Avg: 80.87 / Max: 81.7Min: 80.51 / Avg: 81.59 / Max: 82.49

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 5.4Linux 5.9.1Linux 5.10 Git90180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 3435436434
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Linux 5.4Linux 5.9.1Linux 5.10 Git80160240320400Min: 436 / Avg: 436.33 / Max: 437Min: 433 / Avg: 433.67 / Max: 434

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: TradesoapLinux 5.4Linux 5.9.1Linux 5.10 Git2K4K6K8K10KSE +/- 134.21, N = 6SE +/- 159.15, N = 4SE +/- 101.79, N = 4109911121111201
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapLinux 5.4Linux 5.9.1Linux 5.10 Git2K4K6K8K10KMin: 10518 / Avg: 10990.83 / Max: 11426Min: 10752 / Avg: 11210.75 / Max: 11484Min: 10949 / Avg: 11201 / Max: 11437

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 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.597.577.531. (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 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 7.59 / Avg: 7.59 / Max: 7.6Min: 7.56 / Avg: 7.57 / Max: 7.58Min: 7.53 / Avg: 7.53 / Max: 7.541. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git14002800420056007000SE +/- 7.90, N = 3SE +/- 4.12, N = 3SE +/- 1.64, N = 36312.556305.726301.06
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git11002200330044005500Min: 6296.85 / Avg: 6312.55 / Max: 6322.03Min: 6300.75 / Avg: 6305.72 / Max: 6313.9Min: 6298.05 / Avg: 6301.06 / Max: 6303.7

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git0.14180.28360.42540.56720.709SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.630.630.63
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 0.63 / Avg: 0.63 / Max: 0.63Min: 0.63 / Avg: 0.63 / Max: 0.63Min: 0.63 / Avg: 0.63 / Max: 0.63

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git14002800420056007000SE +/- 8.15, N = 3SE +/- 5.30, N = 3SE +/- 0.41, N = 36320.556320.396301.44
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git11002200330044005500Min: 6304.53 / Avg: 6320.55 / Max: 6331.17Min: 6311.64 / Avg: 6320.39 / Max: 6329.94Min: 6300.78 / Avg: 6301.44 / Max: 6302.19

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git0.14180.28360.42540.56720.709SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.630.630.63
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 0.63 / Avg: 0.63 / Max: 0.63Min: 0.63 / Avg: 0.63 / Max: 0.63Min: 0.63 / Avg: 0.63 / Max: 0.63

LibreOffice

Various benchmarking operations with the LibreOffice open-source office suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFLinux 5.4Linux 5.9.1Linux 5.10 Git3691215SE +/- 0.083, N = 24SE +/- 0.074, N = 25SE +/- 0.078, N = 259.0149.0799.0011. LibreOffice 6.4.6.2 40(Build:2)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFLinux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 8.83 / Avg: 9.01 / Max: 10.89Min: 8.81 / Avg: 9.08 / Max: 10.77Min: 8.78 / Avg: 9 / Max: 10.831. LibreOffice 6.4.6.2 40(Build:2)

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 5.4Linux 5.9.1Linux 5.10 Git1530456075SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 368.0868.2167.74
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.9.1Linux 5.10 Git1326395265Min: 67.94 / Avg: 68.08 / Max: 68.28Min: 68.03 / Avg: 68.21 / Max: 68.56Min: 67.55 / Avg: 67.74 / Max: 67.99

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 5.4Linux 5.9.1Linux 5.10 Git50K100K150K200K250KSE +/- 589.73, N = 3SE +/- 1004.66, N = 3SE +/- 1736.74, N = 3243083.62235981.19231492.241. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.4Linux 5.9.1Linux 5.10 Git40K80K120K160K200KMin: 241913.09 / Avg: 243083.62 / Max: 243794.35Min: 234733.44 / Avg: 235981.19 / Max: 237969.02Min: 228770.14 / Avg: 231492.24 / Max: 234721.841. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 5.4Linux 5.9.1Linux 5.10 Git8001600240032004000SE +/- 14.43, N = 3SE +/- 5.67, N = 3SE +/- 16.67, N = 3387438473866
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPULinux 5.4Linux 5.9.1Linux 5.10 Git7001400210028003500Min: 3849 / Avg: 3874 / Max: 3899Min: 3841 / Avg: 3846.67 / Max: 3858Min: 3849 / Avg: 3865.67 / Max: 3899

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 5.4Linux 5.9.1Linux 5.10 Git1326395265SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 357.3054.9054.60MIN: 54.02 / MAX: 63.6MIN: 51.84 / MAX: 60.87MIN: 51.53 / MAX: 60.821. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KLinux 5.4Linux 5.9.1Linux 5.10 Git1122334455Min: 57.01 / Avg: 57.3 / Max: 57.55Min: 54.79 / Avg: 54.9 / Max: 54.96Min: 54.53 / Avg: 54.6 / Max: 54.691. (CC) gcc options: -pthread -ldl -lm

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentLinux 5.4Linux 5.9.1Linux 5.10 Git1530456075SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 366.1766.3066.28
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentLinux 5.4Linux 5.9.1Linux 5.10 Git1326395265Min: 65.9 / Avg: 66.17 / Max: 66.4Min: 66.08 / Avg: 66.3 / Max: 66.54Min: 66.04 / Avg: 66.28 / Max: 66.45

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 5.4Linux 5.9.1Linux 5.10 Git4080120160200SE +/- 0.20, N = 3SE +/- 0.29, N = 3SE +/- 0.51, N = 3181.78182.27181.94MIN: 137.37 / MAX: 309.56MIN: 136.66 / MAX: 307.75MIN: 135.93 / MAX: 3121. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git306090120150Min: 181.45 / Avg: 181.78 / Max: 182.14Min: 181.94 / Avg: 182.27 / Max: 182.84Min: 181.29 / Avg: 181.94 / Max: 182.951. (CC) gcc options: -pthread -ldl -lm

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: DLSCLinux 5.4Linux 5.9.1Linux 5.10 Git0.11250.2250.33750.450.5625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.500.500.49MIN: 0.49MIN: 0.49MIN: 0.48 / MAX: 0.5
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.49 / Avg: 0.49 / Max: 0.5

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismLinux 5.4Linux 5.9.1Linux 5.10 Git0.12830.25660.38490.51320.6415SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.570.570.56MIN: 0.55 / MAX: 0.64MIN: 0.55 / MAX: 0.65MIN: 0.54 / MAX: 0.64
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.57 / Avg: 0.57 / Max: 0.58Min: 0.56 / Avg: 0.56 / Max: 0.57

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 5.4Linux 5.9.1Linux 5.10 Git90K180K270K360K450KSE +/- 109.37, N = 3SE +/- 56.63, N = 3SE +/- 119.79, N = 3419509417749417931
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.4Linux 5.9.1Linux 5.10 Git70K140K210K280K350KMin: 419357 / Avg: 419508.67 / Max: 419721Min: 417683 / Avg: 417749.33 / Max: 417862Min: 417739 / Avg: 417930.67 / Max: 418151

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.9.1Linux 5.10 Git70K140K210K280K350KSE +/- 47.06, N = 3SE +/- 73.96, N = 3SE +/- 49.60, N = 3304512303560303578
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.9.1Linux 5.10 Git50K100K150K200K250KMin: 304441 / Avg: 304512 / Max: 304601Min: 303421 / Avg: 303560.33 / Max: 303673Min: 303488 / Avg: 303578.33 / Max: 303659

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.9.1Linux 5.10 Git70K140K210K280K350KSE +/- 1091.25, N = 3SE +/- 52.86, N = 3SE +/- 288.83, N = 3303909301591303398
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.9.1Linux 5.10 Git50K100K150K200K250KMin: 302594 / Avg: 303909 / Max: 306075Min: 301501 / Avg: 301590.67 / Max: 301684Min: 302820 / Avg: 303397.67 / Max: 303687

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.9.1Linux 5.10 Git60K120K180K240K300KSE +/- 199.88, N = 3SE +/- 73.99, N = 3SE +/- 31.47, N = 3283570282323282261
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.9.1Linux 5.10 Git50K100K150K200K250KMin: 283206 / Avg: 283570.33 / Max: 283895Min: 282203 / Avg: 282323 / Max: 282458Min: 282215 / Avg: 282260.67 / Max: 282321

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 5.4Linux 5.9.1Linux 5.10 Git8001600240032004000SE +/- 33.88, N = 20SE +/- 44.95, N = 20SE +/- 45.67, N = 20384637463761
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Linux 5.4Linux 5.9.1Linux 5.10 Git7001400210028003500Min: 3547 / Avg: 3845.5 / Max: 4116Min: 3431 / Avg: 3745.9 / Max: 4250Min: 3427 / Avg: 3760.85 / Max: 4149

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git0.51751.0351.55252.072.5875SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 32.302.262.29
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 2.28 / Avg: 2.3 / Max: 2.32Min: 2.19 / Avg: 2.26 / Max: 2.3Min: 2.22 / Avg: 2.29 / Max: 2.32

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git400800120016002000SE +/- 1.79, N = 3SE +/- 22.73, N = 3SE +/- 13.14, N = 31733.591765.021727.77
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git30060090012001500Min: 1730.41 / Avg: 1733.59 / Max: 1736.59Min: 1737.29 / Avg: 1765.02 / Max: 1810.08Min: 1714.54 / Avg: 1727.77 / Max: 1754.05

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git0.51981.03961.55942.07922.599SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 32.302.282.31
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 2.29 / Avg: 2.3 / Max: 2.31Min: 2.21 / Avg: 2.28 / Max: 2.31Min: 2.29 / Avg: 2.31 / Max: 2.32

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git400800120016002000SE +/- 8.56, N = 3SE +/- 8.86, N = 3SE +/- 7.28, N = 31733.371737.831727.62
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4Linux 5.9.1Linux 5.10 Git30060090012001500Min: 1721.07 / Avg: 1733.37 / Max: 1749.83Min: 1726.07 / Avg: 1737.83 / Max: 1755.18Min: 1717.54 / Avg: 1727.62 / Max: 1741.76

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: goLinux 5.4Linux 5.9.1Linux 5.10 Git70140210280350SE +/- 0.58, N = 3SE +/- 0.58, N = 3319319319
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goLinux 5.4Linux 5.9.1Linux 5.10 Git60120180240300Min: 318 / Avg: 319 / Max: 320Min: 318 / Avg: 319 / Max: 320

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 5.4Linux 5.9.1Linux 5.10 Git4080120160200SE +/- 0.45, N = 3SE +/- 0.65, N = 3SE +/- 0.33, N = 3179.00177.78176.90MIN: 174.85MIN: 174.79MIN: 174.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPULinux 5.4Linux 5.9.1Linux 5.10 Git306090120150Min: 178.18 / Avg: 179 / Max: 179.72Min: 177.02 / Avg: 177.78 / Max: 179.08Min: 176.37 / Avg: 176.9 / Max: 177.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5.4Linux 5.9.1Linux 5.10 Git510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 321.3721.4321.441. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.9.1Linux 5.10 Git510152025Min: 21.34 / Avg: 21.37 / Max: 21.41Min: 21.4 / Avg: 21.43 / Max: 21.45Min: 21.43 / Avg: 21.44 / Max: 21.471. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.4Linux 5.9.1Linux 5.10 Git3691215SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 310.9311.0411.001. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 10.9 / Avg: 10.93 / Max: 10.98Min: 10.97 / Avg: 11.04 / Max: 11.13Min: 10.9 / Avg: 11 / Max: 11.121. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 5.4Linux 5.9.1Linux 5.10 Git1122334455SE +/- 0.22, N = 3SE +/- 0.19, N = 3SE +/- 0.13, N = 350.7450.5250.181. (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 5.4Linux 5.9.1Linux 5.10 Git1020304050Min: 50.38 / Avg: 50.74 / Max: 51.13Min: 50.22 / Avg: 50.52 / Max: 50.87Min: 50.02 / Avg: 50.18 / Max: 50.441. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 5.4Linux 5.9.1Linux 5.10 Git1122334455SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 349.7849.1849.061. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverLinux 5.4Linux 5.9.1Linux 5.10 Git1020304050Min: 49.69 / Avg: 49.78 / Max: 49.92Min: 49.01 / Avg: 49.18 / Max: 49.46Min: 48.92 / Avg: 49.06 / Max: 49.21. (CXX) g++ options: -O2 -lOpenCL

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 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 36.9456.7546.7441. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 6.93 / Avg: 6.94 / Max: 6.96Min: 6.74 / Avg: 6.75 / Max: 6.76Min: 6.73 / Avg: 6.74 / Max: 6.751. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 5.4Linux 5.9.1Linux 5.10 Git10K20K30K40K50KSE +/- 83.48, N = 3SE +/- 27.73, N = 3SE +/- 28.42, N = 34686646918469411. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.9.1Linux 5.10 Git8K16K24K32K40KMin: 46719 / Avg: 46866.33 / Max: 47008Min: 46869 / Avg: 46918 / Max: 46965Min: 46897 / Avg: 46940.67 / Max: 469941. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5.4Linux 5.9.1Linux 5.10 Git1122334455SE +/- 0.65, N = 4SE +/- 0.49, N = 7SE +/- 0.25, N = 347.0245.3444.301. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheLinux 5.4Linux 5.9.1Linux 5.10 Git1020304050Min: 45.4 / Avg: 47.02 / Max: 48.43Min: 42.7 / Avg: 45.34 / Max: 46.57Min: 44 / Avg: 44.3 / Max: 44.791. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingLinux 5.4Linux 5.9.1Linux 5.10 Git300K600K900K1200K1500KSE +/- 1076.78, N = 3SE +/- 8431.86, N = 3SE +/- 12234.48, N = 8997029.231178233.491199590.601. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingLinux 5.4Linux 5.9.1Linux 5.10 Git200K400K600K800K1000KMin: 995106.35 / Avg: 997029.23 / Max: 998830.46Min: 1165490.78 / Avg: 1178233.49 / Max: 1194170.75Min: 1122238.28 / Avg: 1199590.6 / Max: 1232344.941. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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 5.4Linux 5.9.1Linux 5.10 Git816243240SE +/- 0.28, N = 4SE +/- 0.07, N = 4SE +/- 0.36, N = 434.5635.0734.931. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.4Linux 5.9.1Linux 5.10 Git714212835Min: 33.99 / Avg: 34.56 / Max: 35.08Min: 34.94 / Avg: 35.07 / Max: 35.22Min: 34.06 / Avg: 34.93 / Max: 35.811. (CC) gcc options: -O2 -std=c99

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 5.4Linux 5.9.1Linux 5.10 Git1020304050SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 342.6042.8442.87
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileLinux 5.4Linux 5.9.1Linux 5.10 Git918273645Min: 42.54 / Avg: 42.6 / Max: 42.66Min: 42.75 / Avg: 42.84 / Max: 42.96Min: 42.8 / Avg: 42.87 / Max: 43.01

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 5.4Linux 5.9.1Linux 5.10 Git50100150200250210210209

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.4Linux 5.9.1Linux 5.10 Git0.52881.05761.58642.11522.644SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.352.352.351. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 2.34 / Avg: 2.35 / Max: 2.36Min: 2.33 / Avg: 2.35 / Max: 2.36Min: 2.35 / Avg: 2.35 / Max: 2.351. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -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 5.4Linux 5.9.1Linux 5.10 Git612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 323.023.323.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibLinux 5.4Linux 5.9.1Linux 5.10 Git510152025Min: 23.2 / Avg: 23.27 / Max: 23.3Min: 23.3 / Avg: 23.33 / Max: 23.4

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 5.4Linux 5.9.1Linux 5.10 Git2004006008001000SE +/- 0.37, N = 3SE +/- 3.07, N = 3SE +/- 2.31, N = 3864.20860.90857.89MIN: 858.95MIN: 855.4MIN: 853.431. (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 5.4Linux 5.9.1Linux 5.10 Git150300450600750Min: 863.46 / Avg: 864.2 / Max: 864.57Min: 857.2 / Avg: 860.9 / Max: 867Min: 854.19 / Avg: 857.89 / Max: 862.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5.4Linux 5.9.1Linux 5.10 Git6001200180024003000SE +/- 6.14, N = 3SE +/- 6.96, N = 3SE +/- 6.19, N = 32751.32753.02761.51. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.4Linux 5.9.1Linux 5.10 Git5001000150020002500Min: 2739.5 / Avg: 2751.27 / Max: 2760.2Min: 2741.7 / Avg: 2753 / Max: 2765.7Min: 2749.1 / Avg: 2761.47 / Max: 2768.11. (CC) gcc options: -O3 -pthread -lz -llzma

librsvg

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

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGLinux 5.4Linux 5.9.1Linux 5.10 Git816243240SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 335.6935.4035.231. rsvg-convert version 2.48.7
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGLinux 5.4Linux 5.9.1Linux 5.10 Git816243240Min: 35.57 / Avg: 35.69 / Max: 35.85Min: 35.18 / Avg: 35.4 / Max: 35.61Min: 35.03 / Avg: 35.23 / Max: 35.571. rsvg-convert version 2.48.7

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 5.4Linux 5.9.1Linux 5.10 Git816243240SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 335.2834.9634.961. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterLinux 5.4Linux 5.9.1Linux 5.10 Git816243240Min: 35.13 / Avg: 35.28 / Max: 35.41Min: 34.87 / Avg: 34.96 / Max: 35.03Min: 34.93 / Avg: 34.96 / Max: 351. (CXX) g++ options: -O2 -lOpenCL

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 5.4Linux 5.9.1Linux 5.10 Git48121620SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 317.6517.4617.461. (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 5.4Linux 5.9.1Linux 5.10 Git48121620Min: 17.63 / Avg: 17.65 / Max: 17.67Min: 17.41 / Avg: 17.46 / Max: 17.57Min: 17.35 / Avg: 17.46 / Max: 17.61. (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: django_templateLinux 5.4Linux 5.9.1Linux 5.10 Git1632486480SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 373.774.273.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateLinux 5.4Linux 5.9.1Linux 5.10 Git1428425670Min: 73.6 / Avg: 73.67 / Max: 73.7Min: 74.1 / Avg: 74.17 / Max: 74.3Min: 73.5 / Avg: 73.53 / Max: 73.6

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.4Linux 5.9.1Linux 5.10 Git0.32850.6570.98551.3141.6425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.451.461.451. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 1.45 / Avg: 1.45 / Max: 1.46Min: 1.45 / Avg: 1.46 / Max: 1.46Min: 1.45 / Avg: 1.45 / Max: 1.461. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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 4.1.1Time To OCR 7 ImagesLinux 5.4Linux 5.9.1Linux 5.10 Git714212835SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 331.7531.4631.37
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesLinux 5.4Linux 5.9.1Linux 5.10 Git714212835Min: 31.64 / Avg: 31.74 / Max: 31.88Min: 31.37 / Avg: 31.46 / Max: 31.59Min: 31.23 / Avg: 31.37 / Max: 31.51

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 5.4Linux 5.9.1Linux 5.10 Git816243240SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 332.332.332.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsLinux 5.4Linux 5.9.1Linux 5.10 Git714212835Min: 32.2 / Avg: 32.27 / Max: 32.3Min: 32.2 / Avg: 32.27 / Max: 32.4Min: 32.1 / Avg: 32.23 / Max: 32.4

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: CPU StressLinux 5.4Linux 5.9.1Linux 5.10 Git30060090012001500SE +/- 0.58, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 31214.241216.721216.911. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressLinux 5.4Linux 5.9.1Linux 5.10 Git2004006008001000Min: 1213.15 / Avg: 1214.24 / Max: 1215.11Min: 1216.47 / Avg: 1216.72 / Max: 1216.9Min: 1216.89 / Avg: 1216.91 / Max: 1216.921. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMALinux 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 1.18, N = 3SE +/- 0.31, N = 3SE +/- 0.89, N = 379.5564.7467.091. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMALinux 5.4Linux 5.9.1Linux 5.10 Git1530456075Min: 77.24 / Avg: 79.55 / Max: 81.12Min: 64.15 / Avg: 64.74 / Max: 65.2Min: 66.14 / Avg: 67.09 / Max: 68.881. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocLinux 5.4Linux 5.9.1Linux 5.10 Git3M6M9M12M15MSE +/- 12161.58, N = 3SE +/- 1402.16, N = 3SE +/- 15546.64, N = 315780304.3615798673.9315835328.301. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocLinux 5.4Linux 5.9.1Linux 5.10 Git3M6M9M12M15MMin: 15756062.55 / Avg: 15780304.36 / Max: 15794146.57Min: 15796504.09 / Avg: 15798673.93 / Max: 15801297.35Min: 15818477.01 / Avg: 15835328.3 / Max: 158663841. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoLinux 5.4Linux 5.9.1Linux 5.10 Git2004006008001000SE +/- 1.37, N = 3SE +/- 10.46, N = 3SE +/- 1.06, N = 3849.32840.19850.351. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoLinux 5.4Linux 5.9.1Linux 5.10 Git150300450600750Min: 846.59 / Avg: 849.32 / Max: 850.97Min: 819.41 / Avg: 840.19 / Max: 852.71Min: 848.6 / Avg: 850.35 / Max: 852.251. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDLinux 5.4Linux 5.9.1Linux 5.10 Git20406080100SE +/- 0.29, N = 3SE +/- 0.35, N = 3SE +/- 0.42, N = 3103.3296.7093.751. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDLinux 5.4Linux 5.9.1Linux 5.10 Git20406080100Min: 102.75 / Avg: 103.32 / Max: 103.67Min: 96.2 / Avg: 96.7 / Max: 97.38Min: 92.96 / Avg: 93.75 / Max: 94.371. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingLinux 5.4Linux 5.9.1Linux 5.10 Git400800120016002000SE +/- 10.71, N = 3SE +/- 6.52, N = 3SE +/- 16.66, N = 31962.471967.901954.831. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingLinux 5.4Linux 5.9.1Linux 5.10 Git30060090012001500Min: 1943.34 / Avg: 1962.47 / Max: 1980.37Min: 1959.59 / Avg: 1967.9 / Max: 1980.76Min: 1928.87 / Avg: 1954.83 / Max: 1985.911. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data SortingLinux 5.4Linux 5.9.1Linux 5.10 Git1020304050SE +/- 0.32, N = 3SE +/- 0.50, N = 3SE +/- 0.46, N = 343.1443.0243.231. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data SortingLinux 5.4Linux 5.9.1Linux 5.10 Git918273645Min: 42.57 / Avg: 43.14 / Max: 43.67Min: 42.2 / Avg: 43.02 / Max: 43.93Min: 42.6 / Avg: 43.23 / Max: 44.131. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String FunctionsLinux 5.4Linux 5.9.1Linux 5.10 Git80K160K240K320K400KSE +/- 1206.75, N = 3SE +/- 2534.78, N = 3SE +/- 5072.23, N = 3368841.34371689.95367272.251. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String FunctionsLinux 5.4Linux 5.9.1Linux 5.10 Git60K120K180K240K300KMin: 367088.91 / Avg: 368841.34 / Max: 371154.74Min: 368857.66 / Avg: 371689.95 / Max: 376747.37Min: 359338.45 / Avg: 367272.25 / Max: 376713.961. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathLinux 5.4Linux 5.9.1Linux 5.10 Git3K6K9K12K15KSE +/- 27.13, N = 3SE +/- 31.67, N = 3SE +/- 36.38, N = 316244.7716243.9916265.101. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathLinux 5.4Linux 5.9.1Linux 5.10 Git3K6K9K12K15KMin: 16209.24 / Avg: 16244.77 / Max: 16298.04Min: 16210.71 / Avg: 16243.99 / Max: 16307.3Min: 16204.97 / Avg: 16265.1 / Max: 16330.631. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityLinux 5.4Linux 5.9.1Linux 5.10 Git6001200180024003000SE +/- 35.67, N = 3SE +/- 13.13, N = 3SE +/- 8.33, N = 32650.882402.222392.221. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityLinux 5.4Linux 5.9.1Linux 5.10 Git5001000150020002500Min: 2580.7 / Avg: 2650.88 / Max: 2697.05Min: 2377.2 / Avg: 2402.22 / Max: 2421.63Min: 2378.87 / Avg: 2392.22 / Max: 2407.541. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathLinux 5.4Linux 5.9.1Linux 5.10 Git5K10K15K20K25KSE +/- 5.59, N = 3SE +/- 3.99, N = 3SE +/- 8.45, N = 322346.7622371.5622385.341. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathLinux 5.4Linux 5.9.1Linux 5.10 Git4K8K12K16K20KMin: 22338.29 / Avg: 22346.76 / Max: 22357.31Min: 22365.68 / Avg: 22371.56 / Max: 22379.16Min: 22375.19 / Avg: 22385.34 / Max: 22402.111. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresLinux 5.4Linux 5.9.1Linux 5.10 Git70K140K210K280K350KSE +/- 264.89, N = 3SE +/- 791.14, N = 3SE +/- 70.75, N = 3316527.23268049.65267417.581. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresLinux 5.4Linux 5.9.1Linux 5.10 Git50K100K150K200K250KMin: 316199.71 / Avg: 316527.23 / Max: 317051.62Min: 266467.79 / Avg: 268049.65 / Max: 268872.35Min: 267276.25 / Avg: 267417.58 / Max: 267494.061. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILELinux 5.4Linux 5.9.1Linux 5.10 Git10K20K30K40K50KSE +/- 17.45, N = 3SE +/- 32.82, N = 3SE +/- 11.53, N = 346372.0145502.2844414.711. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILELinux 5.4Linux 5.9.1Linux 5.10 Git8K16K24K32K40KMin: 46351.4 / Avg: 46372.01 / Max: 46406.7Min: 45454.23 / Avg: 45502.28 / Max: 45565.04Min: 44397.5 / Avg: 44414.71 / Max: 44436.61. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingLinux 5.4Linux 5.9.1Linux 5.10 Git5K10K15K20K25KSE +/- 100.53, N = 3SE +/- 121.43, N = 3SE +/- 32.57, N = 318307.8218000.8521463.251. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingLinux 5.4Linux 5.9.1Linux 5.10 Git4K8K12K16K20KMin: 18154.7 / Avg: 18307.82 / Max: 18497.24Min: 17763.52 / Avg: 18000.85 / Max: 18164.14Min: 21414.67 / Avg: 21463.25 / Max: 21525.111. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicLinux 5.4Linux 5.9.1Linux 5.10 Git70K140K210K280K350KSE +/- 156.05, N = 3SE +/- 46.97, N = 3SE +/- 54.89, N = 3304850.38304317.83304118.871. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicLinux 5.4Linux 5.9.1Linux 5.10 Git50K100K150K200K250KMin: 304544.74 / Avg: 304850.38 / Max: 305057.89Min: 304244.64 / Avg: 304317.83 / Max: 304405.42Min: 304010.37 / Avg: 304118.87 / Max: 304187.641. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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 5.4Linux 5.9.1Linux 5.10 Git4080120160200159158159

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosLinux 5.4Linux 5.9.1Linux 5.10 Git306090120150148148147

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 5.4Linux 5.9.1Linux 5.10 Git4K8K12K16K20KSE +/- 251.42, N = 3SE +/- 227.49, N = 3SE +/- 45.86, N = 31629916392165931. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestLinux 5.4Linux 5.9.1Linux 5.10 Git3K6K9K12K15KMin: 15802 / Avg: 16298.67 / Max: 16615Min: 15945 / Avg: 16391.67 / Max: 16690Min: 16501 / Avg: 16592.67 / Max: 166411. (CXX) g++ options: -pipe -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 5.4Linux 5.9.1Linux 5.10 Git140280420560700SE +/- 1.76, N = 3SE +/- 2.33, N = 3SE +/- 1.45, N = 3634637636
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonLinux 5.4Linux 5.9.1Linux 5.10 Git110220330440550Min: 631 / Avg: 633.67 / Max: 637Min: 632 / Avg: 636.67 / Max: 639Min: 633 / Avg: 635.67 / Max: 638

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 5.4Linux 5.9.1Linux 5.10 Git510152025SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 322.0022.0822.091. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git510152025Min: 21.84 / Avg: 22 / Max: 22.09Min: 21.97 / Avg: 22.08 / Max: 22.24Min: 21.87 / Avg: 22.09 / Max: 22.271. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.9.1Linux 5.10 Git510152025SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 322.7322.6322.70
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.9.1Linux 5.10 Git510152025Min: 22.61 / Avg: 22.73 / Max: 22.83Min: 22.61 / Avg: 22.63 / Max: 22.67Min: 22.64 / Avg: 22.7 / Max: 22.8

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: floatLinux 5.4Linux 5.9.1Linux 5.10 Git306090120150SE +/- 0.58, N = 3140138138
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatLinux 5.4Linux 5.9.1Linux 5.10 Git306090120150Min: 139 / Avg: 140 / Max: 141

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesLinux 5.4Linux 5.9.1Linux 5.10 Git306090120150SE +/- 0.33, N = 3134135134
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesLinux 5.4Linux 5.9.1Linux 5.10 Git306090120150Min: 133 / Avg: 133.67 / Max: 134

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 5.4Linux 5.9.1Linux 5.10 Git612182430SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 324.8224.8124.711. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesLinux 5.4Linux 5.9.1Linux 5.10 Git612182430Min: 24.66 / Avg: 24.82 / Max: 25.1Min: 24.7 / Avg: 24.81 / Max: 24.91Min: 24.68 / Avg: 24.71 / Max: 24.771. 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 5.4Linux 5.9.1Linux 5.10 Git612182430SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 324.4724.4524.591. (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 5.4Linux 5.9.1Linux 5.10 Git612182430Min: 24.29 / Avg: 24.47 / Max: 24.56Min: 24.32 / Avg: 24.45 / Max: 24.62Min: 24.39 / Avg: 24.59 / Max: 24.711. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastLinux 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.58, N = 155.605.588.211. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastLinux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 5.59 / Avg: 5.6 / Max: 5.6Min: 5.57 / Avg: 5.58 / Max: 5.58Min: 5.55 / Avg: 8.21 / Max: 9.981. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.4Linux 5.9.1Linux 5.10 Git612182430SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 325.9826.2426.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.4Linux 5.9.1Linux 5.10 Git612182430Min: 25.97 / Avg: 25.98 / Max: 26Min: 26.13 / Avg: 26.24 / Max: 26.33Min: 26.26 / Avg: 26.33 / Max: 26.381. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 5.4Linux 5.9.1Linux 5.10 Git510152025SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 321.8721.8121.751. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.4Linux 5.9.1Linux 5.10 Git510152025Min: 21.73 / Avg: 21.87 / Max: 22.1Min: 21.62 / Avg: 21.81 / Max: 22.03Min: 21.62 / Avg: 21.75 / Max: 22.011. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 5.4Linux 5.9.1Linux 5.10 Git48121620SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 317.6016.9817.04MIN: 16.38MIN: 16.48MIN: 16.41. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.9.1Linux 5.10 Git48121620Min: 17.37 / Avg: 17.6 / Max: 17.71Min: 16.85 / Avg: 16.98 / Max: 17.13Min: 17.01 / Avg: 17.04 / Max: 17.081. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5.4Linux 5.9.1Linux 5.10 Git510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 320.5820.4720.53
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.4Linux 5.9.1Linux 5.10 Git510152025Min: 20.51 / Avg: 20.58 / Max: 20.62Min: 20.43 / Avg: 20.47 / Max: 20.52Min: 20.39 / Avg: 20.53 / Max: 20.65

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 5.4Linux 5.9.1Linux 5.10 Git4080120160200SE +/- 0.27, N = 3SE +/- 0.05, N = 3SE +/- 0.38, N = 3179.62177.97178.17MIN: 160.18 / MAX: 194.51MIN: 158.4 / MAX: 192.29MIN: 162.42 / MAX: 193.211. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git306090120150Min: 179.12 / Avg: 179.62 / Max: 180.04Min: 177.86 / Avg: 177.97 / Max: 178.04Min: 177.65 / Avg: 178.17 / Max: 178.911. (CC) gcc options: -pthread -ldl -lm

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.9.1Linux 5.10 Git60120180240300SE +/- 0.19, N = 3SE +/- 0.78, N = 3SE +/- 0.05, N = 3290.39286.15284.56MIN: 286.11 / MAX: 306.89MIN: 284.14 / MAX: 303.22MIN: 283.86 / MAX: 286.191. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.9.1Linux 5.10 Git50100150200250Min: 290.07 / Avg: 290.39 / Max: 290.72Min: 284.8 / Avg: 286.15 / Max: 287.51Min: 284.48 / Avg: 284.56 / Max: 284.641. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.9.1Linux 5.10 Git60120180240300SE +/- 1.09, N = 3SE +/- 0.83, N = 3SE +/- 1.35, N = 3286.62284.57285.27MIN: 283.98 / MAX: 293.92MIN: 282.82 / MAX: 287.26MIN: 282.05 / MAX: 288.021. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.9.1Linux 5.10 Git50100150200250Min: 284.46 / Avg: 286.62 / Max: 287.95Min: 283.52 / Avg: 284.57 / Max: 286.2Min: 282.58 / Avg: 285.27 / Max: 286.711. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 5.4Linux 5.9.1Linux 5.10 Git714212835SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 330.8430.6330.481. (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 5.4Linux 5.9.1Linux 5.10 Git714212835Min: 30.77 / Avg: 30.84 / Max: 30.94Min: 30.58 / Avg: 30.63 / Max: 30.69Min: 30.36 / Avg: 30.48 / Max: 30.571. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumLinux 5.4Linux 5.9.1Linux 5.10 Git3691215SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 313.2113.2013.191. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumLinux 5.4Linux 5.9.1Linux 5.10 Git48121620Min: 13.2 / Avg: 13.21 / Max: 13.22Min: 13.13 / Avg: 13.2 / Max: 13.31Min: 13.13 / Avg: 13.19 / Max: 13.31. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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 5.4Linux 5.9.1Linux 5.10 Git48121620SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 315.2314.6514.68MIN: 14.54MIN: 14.53MIN: 14.551. (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 5.4Linux 5.9.1Linux 5.10 Git48121620Min: 15.15 / Avg: 15.23 / Max: 15.35Min: 14.65 / Avg: 14.65 / Max: 14.66Min: 14.63 / Avg: 14.68 / Max: 14.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

GNU Octave Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Linux 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.041, N = 5SE +/- 0.052, N = 5SE +/- 0.048, N = 58.3428.3488.350
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Linux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 8.29 / Avg: 8.34 / Max: 8.51Min: 8.26 / Avg: 8.35 / Max: 8.55Min: 8.25 / Avg: 8.35 / Max: 8.53

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.4Linux 5.9.1Linux 5.10 Git48121620SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 313.6513.6913.661. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.4Linux 5.9.1Linux 5.10 Git48121620Min: 13.53 / Avg: 13.65 / Max: 13.78Min: 13.58 / Avg: 13.69 / Max: 13.87Min: 13.59 / Avg: 13.66 / Max: 13.751. (CC) gcc options: -std=c99 -O3 -lm -lpthread

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git1122334455SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 349.9749.6249.541. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git1020304050Min: 49.8 / Avg: 49.97 / Max: 50.13Min: 49.32 / Avg: 49.62 / Max: 50.01Min: 49.32 / Avg: 49.54 / Max: 49.741. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -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: f32 - Engine: CPULinux 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.01857, N = 3SE +/- 0.00318, N = 3SE +/- 0.00698, N = 36.309426.251446.23130MIN: 6.12MIN: 6.11MIN: 6.11. (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 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 6.28 / Avg: 6.31 / Max: 6.34Min: 6.25 / Avg: 6.25 / Max: 6.26Min: 6.22 / Avg: 6.23 / Max: 6.241. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

C-Blosc

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

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzLinux 5.4Linux 5.9.1Linux 5.10 Git12002400360048006000SE +/- 12.96, N = 3SE +/- 35.24, N = 3SE +/- 27.44, N = 35700.15649.25652.81. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzLinux 5.4Linux 5.9.1Linux 5.10 Git10002000300040005000Min: 5674.2 / Avg: 5700.07 / Max: 5714.5Min: 5606 / Avg: 5649.17 / Max: 5719Min: 5598.2 / Avg: 5652.8 / Max: 5684.91. (CXX) g++ options: -rdynamic

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 5.4Linux 5.9.1Linux 5.10 Git3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 311.7511.7111.771. (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 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 11.68 / Avg: 11.75 / Max: 11.79Min: 11.67 / Avg: 11.71 / Max: 11.75Min: 11.74 / Avg: 11.77 / Max: 11.821. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 5.4Linux 5.9.1Linux 5.10 Git13002600390052006500SE +/- 34.33, N = 4SE +/- 32.95, N = 4SE +/- 33.59, N = 4599159525931
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonLinux 5.4Linux 5.9.1Linux 5.10 Git10002000300040005000Min: 5908 / Avg: 5991 / Max: 6059Min: 5871 / Avg: 5951.75 / Max: 6024Min: 5862 / Avg: 5930.5 / Max: 6023

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git1428425670SE +/- 0.78, N = 3SE +/- 0.72, N = 3SE +/- 0.69, N = 362.2561.4961.161. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git1224364860Min: 60.69 / Avg: 62.25 / Max: 63.08Min: 60.19 / Avg: 61.49 / Max: 62.68Min: 59.79 / Avg: 61.16 / Max: 61.951. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git1428425670SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.25, N = 363.1662.2762.501. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pLinux 5.4Linux 5.9.1Linux 5.10 Git1224364860Min: 62.95 / Avg: 63.16 / Max: 63.32Min: 61.96 / Avg: 62.27 / Max: 62.46Min: 62.25 / Avg: 62.5 / Max: 62.991. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -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: Sequential FillLinux 5.4Linux 5.9.1Linux 5.10 Git510152025SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.25, N = 317.6718.9319.091. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillLinux 5.4Linux 5.9.1Linux 5.10 Git510152025Min: 17.57 / Avg: 17.67 / Max: 17.85Min: 18.62 / Avg: 18.93 / Max: 19.2Min: 18.62 / Avg: 19.09 / Max: 19.491. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillLinux 5.4Linux 5.9.1Linux 5.10 Git612182430SE +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.30, N = 325.023.323.11. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillLinux 5.4Linux 5.9.1Linux 5.10 Git612182430Min: 24.7 / Avg: 25 / Max: 25.2Min: 23 / Avg: 23.27 / Max: 23.6Min: 22.7 / Avg: 23.13 / Max: 23.71. (CXX) g++ options: -O3 -lsnappy -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.014, N = 3SE +/- 0.009, N = 3SE +/- 0.015, N = 38.7078.7318.7471. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 8.69 / Avg: 8.71 / Max: 8.74Min: 8.72 / Avg: 8.73 / Max: 8.75Min: 8.72 / Avg: 8.75 / Max: 8.771. (CXX) g++ options: -O3 -fPIC

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 5.4Linux 5.9.1Linux 5.10 Git48121620SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 316.7217.5317.721. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteLinux 5.4Linux 5.9.1Linux 5.10 Git48121620Min: 16.57 / Avg: 16.72 / Max: 16.85Min: 17.44 / Avg: 17.53 / Max: 17.65Min: 17.31 / Avg: 17.72 / Max: 17.941. (CXX) g++ options: -O3 -lsnappy -lpthread

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 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.033, N = 3SE +/- 0.024, N = 3SE +/- 0.051, N = 38.4668.4568.4731. (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 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 8.43 / Avg: 8.47 / Max: 8.53Min: 8.43 / Avg: 8.46 / Max: 8.5Min: 8.42 / Avg: 8.47 / Max: 8.571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.013, N = 37.9807.9527.9761. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Linux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 7.97 / Avg: 7.98 / Max: 7.99Min: 7.93 / Avg: 7.95 / Max: 7.96Min: 7.96 / Avg: 7.98 / Max: 81. (CXX) g++ options: -O3 -fPIC

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.9.1Linux 5.10 Git0.62571.25141.87712.50283.1285SE +/- 0.016, N = 3SE +/- 0.012, N = 3SE +/- 0.012, N = 32.7732.7612.7811. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 2.75 / Avg: 2.77 / Max: 2.8Min: 2.74 / Avg: 2.76 / Max: 2.78Min: 2.76 / Avg: 2.78 / Max: 2.791. (CXX) g++ options: -O3 -pthread -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.4Linux 5.9.1Linux 5.10 Git510152025SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 319.1819.1918.47MIN: 18.1MIN: 18.15MIN: 17.991. (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 5.4Linux 5.9.1Linux 5.10 Git510152025Min: 19.06 / Avg: 19.18 / Max: 19.26Min: 19.17 / Avg: 19.19 / Max: 19.21Min: 18.36 / Avg: 18.47 / Max: 18.631. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5.4Linux 5.9.1Linux 5.10 Git246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 37.207.067.18
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPULinux 5.4Linux 5.9.1Linux 5.10 Git3691215Min: 7.18 / Avg: 7.2 / Max: 7.22Min: 7.03 / Avg: 7.06 / Max: 7.11Min: 7.13 / Avg: 7.18 / Max: 7.23

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 5.4Linux 5.9.1Linux 5.10 Git4K8K12K16K20KSE +/- 70.01, N = 3SE +/- 168.74, N = 3SE +/- 203.21, N = 320167.4820940.1020885.871. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.9.1Linux 5.10 Git4K8K12K16K20KMin: 20027.46 / Avg: 20167.48 / Max: 20237.52Min: 20602.77 / Avg: 20940.1 / Max: 21117.56Min: 20481.25 / Avg: 20885.87 / Max: 21121.321. (F9X) gfortran options: -O3 -fomit-frame-pointer -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: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.9.1Linux 5.10 Git612182430SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 325.0122.4722.89MIN: 22.34MIN: 22.3MIN: 22.271. (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 5.4Linux 5.9.1Linux 5.10 Git612182430Min: 24.87 / Avg: 25.01 / Max: 25.14Min: 22.42 / Avg: 22.47 / Max: 22.5Min: 22.56 / Avg: 22.89 / Max: 23.321. (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 100Linux 5.4Linux 5.9.1Linux 5.10 Git0.61221.22441.83662.44883.061SE +/- 0.011, N = 3SE +/- 0.014, N = 3SE +/- 0.001, N = 32.6872.7212.6801. (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 5.4Linux 5.9.1Linux 5.10 Git246810Min: 2.68 / Avg: 2.69 / Max: 2.71Min: 2.71 / Avg: 2.72 / Max: 2.75Min: 2.68 / Avg: 2.68 / Max: 2.681. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.4Linux 5.9.1Linux 5.10 Git510152025SE +/- 0.07, N = 3SE +/- 0.32, N = 3SE +/- 0.25, N = 517.7319.4020.051. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.4Linux 5.9.1Linux 5.10 Git510152025Min: 17.65 / Avg: 17.73 / Max: 17.86Min: 18.97 / Avg: 19.4 / Max: 20.02Min: 19.39 / Avg: 20.05 / Max: 20.571. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.4Linux 5.9.1Linux 5.10 Git612182430SE +/- 0.10, N = 3SE +/- 0.38, N = 3SE +/- 0.28, N = 524.922.722.01. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.4Linux 5.9.1Linux 5.10 Git612182430Min: 24.7 / Avg: 24.9 / Max: 25Min: 22 / Avg: 22.73 / Max: 23.3Min: 21.4 / Avg: 22.02 / Max: 22.81. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomLinux 5.4Linux 5.9.1Linux 5.10 Git0.53461.06921.60382.13842.673SE +/- 0.030, N = 3SE +/- 0.005, N = 3SE +/- 0.009, N = 32.2082.3742.3761. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 2.18 / Avg: 2.21 / Max: 2.27Min: 2.37 / Avg: 2.37 / Max: 2.38Min: 2.36 / Avg: 2.38 / Max: 2.391. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.4Linux 5.9.1Linux 5.10 Git5001000150020002500SE +/- 64.80, N = 3SE +/- 31.60, N = 3SE +/- 33.13, N = 32356.982281.312190.131. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.4Linux 5.9.1Linux 5.10 Git400800120016002000Min: 2257.09 / Avg: 2356.98 / Max: 2478.43Min: 2224.81 / Avg: 2281.31 / Max: 2334.09Min: 2127.01 / Avg: 2190.13 / Max: 2239.161. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.4Linux 5.9.1Linux 5.10 Git0.0450.090.1350.180.225SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.20.20.21. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.4Linux 5.9.1Linux 5.10 Git12345Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.2 / Avg: 0.2 / Max: 0.21. (CXX) g++ options: -O3 -lsnappy -lpthread

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 5.4Linux 5.9.1Linux 5.10 Git0.4010.8021.2031.6042.005SE +/- 0.006, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 31.7811.7821.7731. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 1.77 / Avg: 1.78 / Max: 1.79Min: 1.77 / Avg: 1.78 / Max: 1.8Min: 1.77 / Avg: 1.77 / Max: 1.781. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.4Linux 5.9.1Linux 5.10 Git510152025SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 317.7519.4119.951. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.4Linux 5.9.1Linux 5.10 Git510152025Min: 17.63 / Avg: 17.75 / Max: 17.98Min: 19.17 / Avg: 19.41 / Max: 19.58Min: 19.67 / Avg: 19.95 / Max: 20.131. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.4Linux 5.9.1Linux 5.10 Git612182430SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 324.822.822.11. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.4Linux 5.9.1Linux 5.10 Git612182430Min: 24.5 / Avg: 24.83 / Max: 25Min: 22.5 / Avg: 22.77 / Max: 23.1Min: 21.9 / Avg: 22.1 / Max: 22.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadLinux 5.4Linux 5.9.1Linux 5.10 Git0.40480.80961.21441.61922.024SE +/- 0.016, N = 3SE +/- 0.018, N = 3SE +/- 0.007, N = 31.6641.7941.7991. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 1.63 / Avg: 1.66 / Max: 1.68Min: 1.76 / Avg: 1.79 / Max: 1.82Min: 1.79 / Avg: 1.8 / Max: 1.811. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadLinux 5.4Linux 5.9.1Linux 5.10 Git0.40770.81541.22311.63082.0385SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.002, N = 31.6441.8121.7941. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadLinux 5.4Linux 5.9.1Linux 5.10 Git246810Min: 1.64 / Avg: 1.64 / Max: 1.65Min: 1.8 / Avg: 1.81 / Max: 1.83Min: 1.79 / Avg: 1.79 / Max: 1.81. (CXX) g++ options: -O3 -lsnappy -lpthread

197 Results Shown

InfluxDB
LeelaChessZero
Basis Universal
Incompact3D
ASTC Encoder
LeelaChessZero
Rodinia
GROMACS
YafaRay
BRL-CAD
SVT-AV1
Kvazaar
Basis Universal
Build2
Monte Carlo Simulations of Ionised Nebulae
NAMD
Rodinia
Timed Linux Kernel Compilation
Caffe
dav1d
libavif avifenc
Timed GDB GNU Debugger Compilation
Apache CouchDB
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  resnet-v2-50
  SqueezeNetV1.0
AOM AV1
InfluxDB
Hierarchical INTegration
Mlpack Benchmark
TensorFlow Lite
Zstd Compression
TensorFlow Lite
Stress-NG
Kvazaar
Stress-NG
InfluxDB
PyPerformance
libavif avifenc
Sunflow Rendering System
NCNN:
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
  CPU - squeezenet
BYTE Unix Benchmark
Caffe
Timed HMMer Search
x265
G'MIC
Rodinia
RawTherapee
GLmark2
PyPerformance
DaCapo Benchmark
Montage Astronomical Image Mosaic Engine
Caffe
G'MIC
SVT-AV1
OpenVINO:
  Person Detection 0106 FP16 - CPU:
    ms
    FPS
  Person Detection 0106 FP32 - CPU:
    ms
    FPS
ASTC Encoder
Mlpack Benchmark
oneDNN
Kvazaar
Basis Universal:
  ETC1S
  UASTC Level 2
Hugin
PyPerformance
DaCapo Benchmark
Kvazaar
OpenVINO:
  Face Detection 0106 FP16 - CPU:
    ms
    FPS
  Face Detection 0106 FP32 - CPU:
    ms
    FPS
LibreOffice
Mlpack Benchmark
KeyDB
Chaos Group V-RAY
dav1d
OCRMyPDF
dav1d
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
TensorFlow Lite:
  SqueezeNet
  NASNet Mobile
  Mobilenet Quant
  Mobilenet Float
DaCapo Benchmark
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP32 - CPU:
    ms
    FPS
PyPerformance
oneDNN
LibRaw
AOM AV1
WebP Image Encode
Rodinia
SVT-AV1
Caffe
Stress-NG:
  CPU Cache
  Context Switching
eSpeak-NG Speech Engine
Timed Apache Compilation
PyPerformance
AOM AV1
PyPerformance
oneDNN
Zstd Compression
librsvg
Rodinia
Kvazaar
PyPerformance
AOM AV1
Tesseract OCR
PyPerformance
Stress-NG:
  CPU Stress
  NUMA
  Malloc
  Crypto
  MEMFD
  Memory Copying
  Glibc Qsort Data Sorting
  Glibc C String Functions
  Matrix Math
  Socket Activity
  Vector Math
  Semaphores
  SENDFILE
  Forking
  Atomic
PyPerformance:
  nbody
  chaos
7-Zip Compression
PyPerformance
x265
Mlpack Benchmark
PyPerformance:
  float
  crypto_pyaes
G'MIC
WebP Image Encode
ASTC Encoder
AOM AV1
RNNoise
oneDNN
Dolfyn
dav1d
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
Kvazaar
ASTC Encoder
oneDNN
GNU Octave Benchmark
Timed MAFFT Alignment
SVT-VP9
oneDNN
C-Blosc
Basis Universal
DaCapo Benchmark
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
LevelDB:
  Seq Fill:
    Microseconds Per Op
    MB/s
libavif avifenc
LevelDB
WebP Image Encode
libavif avifenc
LAMMPS Molecular Dynamics Simulator
oneDNN
NeatBench
FFTE
oneDNN
WebP Image Encode
LevelDB:
  Overwrite:
    Microseconds Per Op
    MB/s
  Seek Rand:
    Microseconds Per Op
  Fill Sync:
    Microseconds Per Op
    MB/s
WebP Image Encode
LevelDB:
  Rand Fill:
    Microseconds Per Op
    MB/s
  Hot Read:
    Microseconds Per Op
  Rand Read:
    Microseconds Per Op

Linux 5.4

Processor: AMD Ryzen 3 1300X @ 3.50GHz (4 Cores), Motherboard: ASRock AB350 Pro4 (P3.20 BIOS), Chipset: AMD 17h, Memory: 8GB, Disk: 128GB ADATA SU800, Graphics: Sapphire AMD Radeon R7 260X/360 2GB, Audio: AMD Tobago HDMI Audio, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.04, Kernel: 5.4.0-51-generic (x86_64), Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8001129
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 19 October 2020 20:15 by user phoronix.

Linux 5.9.1

Processor: AMD Ryzen 3 1300X @ 3.50GHz (4 Cores), Motherboard: ASRock AB350 Pro4 (P3.20 BIOS), Chipset: AMD 17h, Memory: 8GB, Disk: 128GB ADATA SU800, Graphics: Sapphire AMD Radeon R7 260X/360 2GB, Audio: AMD Tobago HDMI Audio, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.04, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8001129
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 20 October 2020 14:17 by user phoronix.

Linux 5.10 Git

Processor: AMD Ryzen 3 1300X @ 3.50GHz (4 Cores), Motherboard: ASRock AB350 Pro4 (P3.20 BIOS), Chipset: AMD 17h, Memory: 8GB, Disk: 128GB ADATA SU800, Graphics: Sapphire AMD Radeon R7 260X/360 2GB, Audio: AMD Tobago HDMI Audio, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201021-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8001129
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 21 October 2020 08:49 by user phoronix.