Ryzen 7 5800X Linux Performance

AMD Ryzen 7 5800X initial Linux benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2011098-FI-AMDRYZEN983
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Audio Encoding 2 Tests
AV1 4 Tests
Bioinformatics 2 Tests
C++ Boost Tests 3 Tests
Web Browsers 1 Tests
Chess Test Suite 6 Tests
Timed Code Compilation 8 Tests
C/C++ Compiler Tests 35 Tests
Compression Tests 3 Tests
CPU Massive 47 Tests
Creator Workloads 47 Tests
Cryptography 4 Tests
Encoding 11 Tests
Fortran Tests 7 Tests
Game Development 5 Tests
HPC - High Performance Computing 26 Tests
Imaging 11 Tests
Java 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 13 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 49 Tests
NVIDIA GPU Compute 9 Tests
OCR 2 Tests
Intel oneAPI 6 Tests
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OpenMPI Tests 6 Tests
Productivity 5 Tests
Programmer / Developer System Benchmarks 14 Tests
Python 5 Tests
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Scientific Computing 12 Tests
Server 3 Tests
Server CPU Tests 31 Tests
Single-Threaded 17 Tests
Speech 3 Tests
Telephony 3 Tests
Texture Compression 2 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 4 Tests

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Date
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  Test
  Duration
Core i5 10600K
November 01 2020
  12 Hours, 45 Minutes
Core i9 10900K
October 16 2020
  10 Hours, 19 Minutes
Ryzen 5 3600X
October 29 2020
  12 Hours, 32 Minutes
Ryzen 7 3800XT
October 27 2020
  11 Hours, 40 Minutes
Ryzen 9 3900X
October 18 2020
  10 Hours, 45 Minutes
Ryzen 9 3900XT
October 17 2020
  10 Hours, 27 Minutes
Ryzen 9 3950X
October 15 2020
  9 Hours, 57 Minutes
Ryzen 5 5600X
November 05 2020
  11 Hours, 32 Minutes
Ryzen 7 5800X
November 07 2020
  10 Hours, 21 Minutes
Ryzen 9 5900X
October 19 2020
  10 Hours, 19 Minutes
Ryzen 9 5950X
October 21 2020
  8 Hours, 23 Minutes
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  10 Hours, 49 Minutes

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Ryzen 7 5800X Linux PerformanceProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800XAMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600 + 2000GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Navi 10 HDMI AudioASUS MG28UUbuntu 20.045.9.0-050900-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0)1.2.145GCC 9.3.0ext41920x1080Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCHAMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS)AMD Starship/MatisseAMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS)AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS)AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads)Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCHAMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS)AMD Starship/MatisseRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads)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- Ryzen 9 3950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Core i9 10900K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8- Ryzen 9 3900XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 5900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- Ryzen 9 5950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- Ryzen 7 3800XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 5 3600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Core i5 10600K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1- Ryzen 5 5600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- Ryzen 7 5800X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009Java Details- OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Details- Python 2.7.18 + Python 3.8.5Security Details- Ryzen 9 3950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Core i9 10900K: itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 3900XT: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 3900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 5900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 3800XT: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 3600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Core i5 10600K: itlb_multihit: KVM: Mitigation of VMX unsupported + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 5600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 5800X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800XResult OverviewPhoronix Test Suite100%174%248%323%ACES DGEMMm-queensJohn The RipperAircrack-ngN-QueensC-RayOpenVKLYafaRayTensorFlow LiteChaos Group V-RAYStockfishSmallptBRL-CADLuxCoreRenderTachyonasmFishEmbreeBlenderOpenSSLNAMDAppleseedPOV-RaySVT-AV1Timed MPlayer CompilationLAMMPS Molecular Dynamics SimulatorASTC EncoderTTSIOD 3D RendererTimed FFmpeg CompilationTimed Linux Kernel CompilationKvazaarTungsten Rendererx264x2657-Zip CompressionTimed LLVM CompilationRodiniaIntel Open Image DenoiseSunflow Rendering SystemOpenVINONeatBenchGraphicsMagickNumenta Anomaly BenchmarkoneDNNBasis UniversalTimed ImageMagick CompilationOCRMyPDFNebular Empirical Analysis ToolMobile Neural NetworkSVT-VP9Timed PHP CompilationGROMACSZstd CompressionPlaidMLNCNNWireGuard + Linux Networking Stack Stress Testlibavif avifencTimed MAFFT AlignmentDeepSpeechCloverLeafPolyhedron Fortran BenchmarksFFTEdav1dTSCPLibRawC-BloscRNNoiseRadiance BenchmarkSciMarkMonte Carlo Simulations of Ionised Nebulaectx_clockInkscapeHierarchical INTegrationRawTherapeeSQLite SpeedtestFhourstonesNumpy BenchmarkDaCapo BenchmarkCraftyLAME MP3 EncodingDolfynAOM AV1TNNTimed GDB GNU Debugger CompilationTimed MrBayes AnalysisTesseract OCRGNU Octave BenchmarkTimed Apache CompilationeSpeak-NG Speech Enginelibjpeg-turbo tjbenchBYTE Unix BenchmarkLibreOfficeVP9 libvpx EncodingMontage Astronomical Image Mosaic EngineGIMPMlpack BenchmarkSeleniumWebP Image EncodePyPerformancePerl BenchmarksGEGLPyBenchFLAC Audio EncodingG'MICBotan

Ryzen 7 5800X Linux Performancebuild-llvm: Time To Compileblender: Classroom - CPU-Onlyplaidml: No - Inference - ResNet 50 - CPUbrl-cad: VGR Performance Metriccaffe: GoogleNet - CPU - 200plaidml: No - Inference - Inception V3 - CPUappleseed: Emilymocassin: Dust 2D tau100.0selenium: Jetstream 2 - Firefoxhint: FLOATnumpy: rodinia: OpenMP LavaMDastcenc: Exhaustivegromacs: Water Benchmarkblender: Fishy Cat - CPU-Onlywireguard: radiance: Serialrodinia: OpenMP HotSpot3Dasmfish: 1024 Hash Memory, 26 Depthselenium: Jetstream 2 - Google Chromenumenta-nab: Earthgecko Skylineblender: BMW27 - CPU-Onlypolyhedron: proteinappleseed: Disney Materialbyte: Dhrystone 2mnn: inception-v3mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0plaidml: No - Inference - Mobilenet - CPUperl-benchmark: Pod2htmlappleseed: Material Testeryafaray: Total Time For Sample Scenedav1d: Chimera 1080p 10-bittensorflow-lite: Inception V4fhourstones: Complex Connect-4 Solvingtensorflow-lite: Inception ResNet V2mlpack: scikit_qdacaffe: AlexNet - CPU - 200openvino: Person Detection 0106 FP16 - CPUselenium: StyleBench - Google Chromerodinia: OpenMP Leukocytebuild-gdb: Time To Compilekvazaar: Bosphorus 4K - Slowperl-benchmark: Interpreterkvazaar: Bosphorus 4K - Mediummt-dgemm: Sustained Floating-Point Ratenamd: ATPase Simulation - 327,506 Atomsopenvkl: vklBenchmarktachyon: Total Timepyperformance: python_startupcompress-zstd: 19avifenc: 0openvino: Person Detection 0106 FP16 - CPUvpxenc: Speed 0mnn: mobilenet-v1-1.0build-linux-kernel: Time To Compilestockfish: Total Timeopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUpyperformance: raytraceopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUv-ray: CPUmontage: Mosaic of M17, K band, 1.5 deg x 1.5 degmrbayes: Primate Phylogeny Analysisluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismtensorflow-lite: NASNet Mobiletensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quantopenvino: Age Gender Recognition Retail 0013 FP16 - CPUncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - resnet18ncnn: CPU - googlenetncnn: CPU - efficientnet-b0ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetopenvino: Age Gender Recognition Retail 0013 FP16 - CPUjohn-the-ripper: MD5openvino: Age Gender Recognition Retail 0013 FP32 - CPUgraphics-magick: Enhancedopenvino: Age Gender Recognition Retail 0013 FP32 - CPUgraphics-magick: Resizinggraphics-magick: Rotatem-queens: Time To Solveonednn: IP Batch All - f32 - CPUselenium: Speedometer - Google Chromec-ray: Total Time - 4K, 16 Rays Per Pixelrawtherapee: Total Benchmark Timeradiance: SMP Parallelgegl: Color Enhancebuild-php: Time To Compilesqlite-speedtest: Timed Time - Size 1,000basis: UASTC Level 3ncnn: CPU - alexnetncnn: CPU - vgg16ncnn: CPU - blazefacencnn: CPU - mnasnetncnn: CPU - shufflenet-v2build-ffmpeg: Time To Compilelibreoffice: 20 Documents To PDFavifenc: 2embree: Pathtracer ISPC - Crownembree: Pathtracer - Crownbasis: ETC1Sdeepspeech: CPUselenium: ARES-6 - Google Chromenumenta-nab: Bayesian Changepointembree: Pathtracer - Asian Dragonpovray: Trace Timeembree: Pathtracer ISPC - Asian Dragonx265: Bosphorus 4Konednn: Recurrent Neural Network Training - f32 - CPUgegl: Rotate 90 Degreesgegl: Antialiaskvazaar: Bosphorus 4K - Very Fastespeak: Text-To-Speech Synthesiswebp: Quality 100, Lossless, Highest Compressionbuild-mplayer: Time To Compilecompress-7zip: Compress Speed Testpyperformance: nbodyjohn-the-ripper: Blowfishaircrack-ng: compress-zstd: 3onednn: Deconvolution Batch deconv_1d - f32 - CPUpyperformance: regex_compileaom-av1: Speed 6 Realtimeonednn: IP Batch 1D - f32 - CPUblosc: blosclzlibraw: Post-Processing Benchmarkgegl: Reflectttsiod-renderer: Phong Rendering With Soft-Shadow Mappingastcenc: Thoroughscimark2: Compositebasis: UASTC Level 2selenium: Kraken - Google Chromebuild-imagemagick: Time To Compiletungsten: Water Causticselenium: Kraken - Firefoxpyperformance: pathlibaom-av1: Speed 6 Two-Passkvazaar: Bosphorus 1080p - Slowpolyhedron: airkvazaar: Bosphorus 1080p - Mediumnumenta-nab: Relative Entropysvt-av1: Enc Mode 4 - 1080pocrmypdf: Processing 60 Page PDF Documentoidn: Memorialtungsten: Hairmlpack: scikit_svmvpxenc: Speed 5inkscape: SVG Files To PNGtnn: CPU - SqueezeNet v1.1tesseract-ocr: Time To OCR 7 Imagesbotan: Blowfishbotan: Twofishdav1d: Summer Nature 4Kbotan: CAST-256openssl: RSA 4096-bit Performancedav1d: Chimera 1080pcrafty: Elapsed Timebuild-apache: Time To Compilepybench: Total For Average Test Timeskvazaar: Bosphorus 4K - Ultra Fastpolyhedron: linpksunflow: Global Illumination + Image Synthesisrodinia: OpenMP CFD Solverrnnoise: tnn: CPU - MobileNet v2dacapobench: H2gmic: Plotting Isosurface Of A 3D Volume, 1000 Timesaom-av1: Speed 4 Two-Passselenium: Maze Solver - Google Chromeselenium: Maze Solver - Firefoxselenium: WASM collisionDetection - Firefoxgimp: auto-levelsdolfyn: Computational Fluid Dynamicswebp: Quality 100, Losslessneat: aom-av1: Speed 8 Realtimeselenium: WASM collisionDetection - Google Chromedacapobench: Tradesoapencode-flac: WAV To FLACsvt-av1: Enc Mode 8 - 1080pn-queens: Elapsed Timegimp: rotateoctave-benchmark: kvazaar: Bosphorus 1080p - Very Fastnumenta-nab: Windowed Gaussiangimp: resizemafft: Multiple Sequence Alignment - LSU RNAsmallpt: Global Illumination Renderer; 128 Samplestungsten: Volumetric Caustictungsten: Non-Exponentialselenium: WASM imageConvolute - Firefoxgegl: Cropastcenc: Mediumselenium: WASM imageConvolute - Google Chromewebp: Quality 100, Highest Compressionencode-mp3: WAV To MP3basis: UASTC Level 0dacapobench: Jythontjbench: Decompression Throughputx264: H.264 Video Encodingneatbench: CPUkvazaar: Bosphorus 1080p - Ultra Fastgegl: Scalelammps: Rhodopsin Proteinavifenc: 8avifenc: 10cloverleaf: Lagrangian-Eulerian Hydrodynamicssvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pffte: N=256, 3D Complex FFT Routineonednn: Deconvolution Batch deconv_3d - f32 - CPUtscp: AI Chess Performancewebp: Quality 100webp: Defaultctx-clock: Context Switch Timescimark2: Dense LU Matrix Factorizationscimark2: Fast Fourier Transformscimark2: Monte CarloRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X364.327230.947.2224807726513111.15208.357892199105.020406108737.67552422.17120.533105.631.236107.97195.779522.73579.92552929484152.15177.85281.7712.03119.85719744123395.736.9845.71642.1298.16216.850.11059513125.26033179.697113.75143240315875.8128840769.6410561736.477.77790.54710.260.0007686210.405.4767331.14997236.5846.37238.1039.559.3992.437.8347.358524073672.433.253.274172841669.70270.2433.293.6411719910052766530.368497.912280.8529.0829.9117.9119.247.105.155.8217.1215.97186800012650.24407182979933.84047.4722141.831.32652.391169.17354.08942.37355.07231.64833.4676.41235.67519.874621.044042.25563.2306418.5125.65621.869223.51021.663523.09207.12137.23236.63625.1726.67732.30120.775900711022809658788.4704059.12.4760615319.474.0392611474.944.5729.181829.78613.55751.3518.304700.520.57621.2263731.015.64.1836.261.5937.1614.7305.32018.73112.8913.538319.1325.3723.917240.33522.740501.990400.119201.96157.1204743.4619.21919540320.21487645.923.030.69710.81917.238258.827325518.3332.724.34.5362.212.25015.56815.63812.24238.90280.031834607.45543.3306.70411.2656.46982.247.2767.2898.5915.2005.614404.3847326.98.0746.2727.3246.7486.8946.3653946225.709372162.4927.3145.915.49911.5414.4534.3053.86217.13200.8338565.5313155464.2971314072532.1611.3691751022.73374.19165.36506.573352.167.381838101960749.21299.905069166113.690511718743.40279451.53170.152170.210.977162.99176.739588.16183.89140392459163.67893.113114.7011.64178.12403552005432.929.4272.82325.3104.33117.060.09765781166.409258109.474131.94237293017624.8213959362.647531335.282.98287.4296.800.000702286.965.3032401.23607192.7565.98356.7430.371.8591.938.0863.946357268131.933.343.293531976566.37163.6302.212.461476941675951142301176199817.0825.0024.2813.5613.285.894.005.0616.4114.0413313339817.40269126494559.60657.167513852.12753.667183.25249.23147.79346.56446.53844.8696.28942.77217.704115.424743.30178.0174315.8233.14017.630733.73120.429918.81214.08832.35531.72919.5725.30231.12029.0386477293.02359145909.6542922.32.9625313425.673.2856210815.841.5025.450706.15321.31829.3025.177754.924.73823.5822709.414.34.6528.391.9929.3616.9904.32019.83711.1020.070320.3630.3419.857261.56419.174556.852446.453183.54176.0743712.3785.871008741818.04077335.252.280.78118.34321.061282.645274716.0472.925.05.5419.110.44216.39815.08414.23449.04340.681828847.17338.23310.35310.4045.89769.908.0996.8048.7027.9057.007285.1460326.87.4616.8027.75276.0246.9666.3713319237.256549126.1918.3129.645.3118.7014.5384.3795.64210.08186.0125630.0050489644.7876615727702.0091.2941501176.07390.00179.16432.302303.727.0318852225897210.61259.329077205107.146385672695.95056425.55159.413140.271.136141.23194.851526.45779.75640082309152.93183.189106.8012.12156.53011144714220.632.4844.02233.4687.23516.380.11338212155.823422100.553110.90196194015572.8176101068.1610580336.386.78694.0337.560.000753647.714.2365341.49526182.9760.11918.0138.967.3031.977.8056.776389153951.992.622.614132151768.88869.9412.502.7313901413560292214.294517.08760.8428.6827.6616.4817.316.624.755.3916.5016.3914136678748.79301141572645.82056.2274142.442.03053.509170.08353.68846.27156.77340.66639.5186.35540.42715.287316.092643.54965.5784218.3826.85516.990030.58016.832319.65220.21537.19135.98821.1626.71132.57925.063775501012072943919.3074483.53.1530415319.644.8138011473.943.5929.069684.39017.81743.5722.631705.822.76623.8269714.915.44.1827.661.5728.5616.0264.49320.55510.4617.379518.9025.6423.776236.44723.003488.014393.717197.64159.8343551.0585.47907152820.67486636.873.220.80513.29417.406255.505305018.2702.714.24.4360.711.87615.63614.85513.22638.32270.843233487.53836.5929.06811.1166.59563.268.1877.3818.9736.9447.249605.7933826.27.9437.0427.08806.5556.9646.7603963221.002970139.0925.1119.075.4569.4874.5864.3363.99198.20180.2935670.0087247235.2536613852062.0881.3651771019.65371.29163.05446.179317.037.1418374426273810.59267.066755211105.141401445819.03219409.49164.705145.091.133146.60196.117546.88881.10438836873151.42386.301111.6112.23161.51386544081890.731.5473.98833.0747.23416.400.11095995160.127712103.713110.59199907015451.0179501367.7910735636.288.58994.9257.370.000749997.514.1679651.54488177.7573.97028.1238.768.1842.107.7357.907381243112.072.782.784282091071.62172.7442.402.6414036813810193903.696280.29097.7428.9027.8216.7017.386.614.755.4016.4915.9513666679125.69298143276646.74051.4238140.242.89454.341171.79354.67246.78555.78441.27440.4826.50641.11014.959415.659044.34965.3716218.5628.13416.843031.53416.525519.37232.65737.45936.78220.6426.80732.01225.767769091032024442773.9744499.83.2643715819.823.8003111595.243.1929.465670.09418.39717.4222.878715.323.22124.1102745.915.84.1627.341.628.1316.2584.41121.02711.0417.933118.7925.8324.213235.51823.066492.735403.651197.62162.6473489.8586.78926807020.91988836.083.20.84213.59718.522256.339313018.1962.684.24.4369.611.91616.12815.25813.47738.03280.247733897.57935.9479.24511.1456.75562.508.6137.4918.9077.0927.421955.8092326.78.0577.0728.49926.8047.0816.7153990229.313087136.3224.7117.565.5509.2624.6164.3953.89202.63180.8936851.901582848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Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X2004006008001000SE +/- 4.14, N = 3SE +/- 2.33, N = 3SE +/- 2.72, N = 3SE +/- 3.29, N = 3SE +/- 1.43, N = 3SE +/- 4.08, N = 3SE +/- 0.22, N = 3SE +/- 1.66, N = 3SE +/- 0.78, N = 3SE +/- 1.76, N = 3SE +/- 0.81, N = 3364.33506.57432.30446.18402.44361.17586.16748.56807.29687.97548.76

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X140280420560700SE +/- 0.14, N = 3SE +/- 0.66, N = 3SE +/- 0.24, N = 3SE +/- 0.42, N = 3SE +/- 0.31, N = 3SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.62, N = 3SE +/- 1.21, N = 3SE +/- 0.50, N = 3SE +/- 0.36, N = 3230.94352.16303.72317.03277.96226.15433.37596.32631.26525.71396.77

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 37.227.387.037.1411.0811.246.926.596.4810.3611.04

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 MetricRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X60K120K180K240K300K24807718381018852218374421592526707113182793929101498116652162272-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

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: 200Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X60K120K180K240K300KSE +/- 702.33, N = 3SE +/- 174.69, N = 3SE +/- 462.71, N = 3SE +/- 477.83, N = 3SE +/- 437.17, N = 3SE +/- 392.51, N = 3SE +/- 142.32, N = 3SE +/- 1054.43, N = 3SE +/- 166.99, N = 3SE +/- 166.56, N = 3SE +/- 49.01, N = 32651311960742589722627382006762142392344402379082316831937361826971. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 311.159.2110.6110.5912.4312.619.798.947.8810.2711.35

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X110220330440550208.36299.91259.33267.07224.29192.18349.40470.18511.74397.24305.74

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 tau100.0Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X50100150200250SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.33, N = 3SE +/- 0.33, N = 3SE +/- 2.56, N = 5SE +/- 2.19, N = 3SE +/- 0.58, N = 31991662052111791802112332072031941. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X306090120150SE +/- 0.23, N = 3SE +/- 1.49, N = 3SE +/- 1.43, N = 3SE +/- 0.62, N = 3SE +/- 0.95, N = 3SE +/- 0.97, N = 3SE +/- 1.14, N = 3SE +/- 0.64, N = 3SE +/- 1.47, N = 4SE +/- 0.48, N = 3SE +/- 0.37, N = 3105.02113.69107.15105.14117.14117.72107.56105.77106.60115.92120.201. firefox 81.0

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: FLOATRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X110M220M330M440M550MSE +/- 265333.27, N = 3SE +/- 667086.01, N = 3SE +/- 3810394.29, N = 3SE +/- 425188.38, N = 3SE +/- 1730487.00, N = 3SE +/- 6320318.74, N = 3SE +/- 821909.63, N = 3SE +/- 140508.36, N = 3SE +/- 345078.13, N = 3SE +/- 648578.86, N = 3SE +/- 809659.91, N = 3406108737.68511718743.40385672695.95401445819.03517301573.26535283139.78406360022.76390856008.08481073602.70509667296.91530810166.951. (CC) gcc options: -O3 -march=native -lm

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X120240360480600SE +/- 2.57, N = 3SE +/- 2.16, N = 3SE +/- 1.51, N = 3SE +/- 3.07, N = 3SE +/- 2.53, N = 3SE +/- 6.57, N = 3SE +/- 2.64, N = 3SE +/- 1.99, N = 3SE +/- 0.84, N = 3SE +/- 0.60, N = 3SE +/- 1.23, N = 3422.17451.53425.55409.49550.69542.76432.12415.99413.80543.12558.28

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 LavaMDRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X70140210280350SE +/- 0.14, N = 3SE +/- 0.85, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.41, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.79, N = 3SE +/- 0.14, N = 3SE +/- 0.29, N = 3120.53170.15159.41164.71123.34103.62227.00309.61306.48231.62168.861. (CXX) g++ options: -O2 -lOpenCL

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: ExhaustiveRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X70140210280350SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.37, N = 3SE +/- 0.12, N = 3105.63170.21140.27145.09121.94101.25199.87274.19306.90231.33170.391. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.29030.58060.87091.16121.4515SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 31.2360.9771.1361.1331.2841.2900.8230.7330.8420.8760.9901. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X60120180240300SE +/- 0.01, N = 3SE +/- 0.98, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.45, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3107.97162.99141.23146.60124.61102.26200.06271.38288.99233.69176.14

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X4080120160200SE +/- 0.54, N = 3SE +/- 2.90, N = 3SE +/- 1.11, N = 3SE +/- 1.09, N = 3SE +/- 1.11, N = 3SE +/- 0.35, N = 3SE +/- 1.15, N = 3SE +/- 1.74, N = 3SE +/- 1.09, N = 3SE +/- 0.63, N = 3SE +/- 1.23, N = 3195.78176.74194.85196.12155.88149.62183.72197.37174.72129.38123.09

Radiance Benchmark

This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X130260390520650522.74588.16526.46546.89430.24426.53529.70549.02611.64437.95421.39

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 HotSpot3DRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20406080100SE +/- 0.37, N = 3SE +/- 0.05, N = 3SE +/- 1.07, N = 3SE +/- 0.24, N = 3SE +/- 1.56, N = 12SE +/- 0.77, N = 6SE +/- 0.87, N = 3SE +/- 0.24, N = 3SE +/- 0.05, N = 3SE +/- 0.88, N = 15SE +/- 1.24, N = 1579.9383.8979.7681.1066.7463.8680.9487.0991.9070.5667.511. (CXX) g++ options: -O2 -lOpenCL

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X13M26M39M52M65MSE +/- 711272.98, N = 4SE +/- 439150.46, N = 3SE +/- 457800.10, N = 3SE +/- 139565.35, N = 3SE +/- 623050.05, N = 3SE +/- 122568.73, N = 3SE +/- 148329.91, N = 3SE +/- 31310.34, N = 3SE +/- 67429.43, N = 3SE +/- 238676.97, N = 3SE +/- 119860.92, N = 35292948440392459400823093883687349348712599435192915807721747154222944782727519235098629

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X4080120160200SE +/- 0.12, N = 3SE +/- 0.58, N = 3SE +/- 0.80, N = 3SE +/- 0.54, N = 3SE +/- 0.57, N = 3SE +/- 0.77, N = 3SE +/- 0.58, N = 3SE +/- 0.55, N = 3SE +/- 1.02, N = 3SE +/- 0.47, N = 3SE +/- 0.19, N = 3152.15163.68152.93151.42188.92187.72155.62148.98153.24185.20191.711. chrome 86.0.4240.75

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X306090120150SE +/- 0.56, N = 3SE +/- 1.08, N = 15SE +/- 0.37, N = 3SE +/- 0.34, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 1.55, N = 3SE +/- 0.81, N = 3SE +/- 2.07, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 377.8593.1183.1986.3070.6167.90113.80150.81152.56121.6991.56

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X50100150200250SE +/- 0.28, N = 3SE +/- 0.13, N = 3SE +/- 0.35, N = 3SE +/- 0.32, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.67, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 381.77114.70106.80111.6195.0278.28150.76205.38203.69178.17134.54

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X369121512.0311.6412.1212.239.289.2211.5412.1412.359.409.11

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X70140210280350119.86178.12156.53161.51142.65117.67214.51291.01305.77258.69196.74

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 2Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X12M24M36M48M60MSE +/- 529964.65, N = 5SE +/- 574257.00, N = 3SE +/- 566907.60, N = 3SE +/- 438932.99, N = 3SE +/- 501860.59, N = 3SE +/- 250264.91, N = 3SE +/- 523372.80, N = 3SE +/- 415561.11, N = 3SE +/- 24227.92, N = 3SE +/- 138240.46, N = 3SE +/- 285322.64, N = 344123395.752005432.944714220.644081890.755937330.156105538.144883700.943647479.347964784.254945549.956745146.9

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-v3Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X918273645SE +/- 0.28, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 8SE +/- 0.17, N = 15SE +/- 0.08, N = 3SE +/- 0.58, N = 3SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.41, N = 3SE +/- 1.19, N = 336.9829.4332.4831.5526.8826.8032.4636.0238.4731.6526.51MIN: 35.45 / MAX: 47.52MIN: 29.01 / MAX: 39.64MIN: 31.9 / MAX: 45.8MIN: 30.42 / MAX: 44.63MIN: 25.86 / MAX: 39.31MIN: 26.49 / MAX: 39.3MIN: 31.11 / MAX: 44.49MIN: 35.38 / MAX: 46.54MIN: 38.12 / MAX: 51.85MIN: 30.81 / MAX: 42.27MIN: 25.05 / MAX: 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: MobileNetV2_224Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1.28612.57223.85835.14446.4305SE +/- 0.010, N = 3SE +/- 0.013, N = 3SE +/- 0.022, N = 3SE +/- 0.026, N = 8SE +/- 0.016, N = 15SE +/- 0.012, N = 3SE +/- 0.053, N = 3SE +/- 0.049, N = 3SE +/- 0.015, N = 3SE +/- 0.017, N = 3SE +/- 0.037, N = 35.7162.8234.0223.9883.0583.8493.3753.9603.4012.6912.215MIN: 5.49 / MAX: 6.8MIN: 2.75 / MAX: 4.11MIN: 3.91 / MAX: 6.2MIN: 3.78 / MAX: 15.56MIN: 2.86 / MAX: 15.6MIN: 3.7 / MAX: 14.25MIN: 3.24 / MAX: 13.21MIN: 3.84 / MAX: 5.18MIN: 3.33 / MAX: 5.99MIN: 2.63 / MAX: 4.15MIN: 2.13 / MAX: 2.761. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1020304050SE +/- 0.15, N = 3SE +/- 0.26, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 8SE +/- 0.16, N = 15SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.43, N = 3SE +/- 0.44, N = 342.1325.3133.4733.0727.0628.3829.5330.2632.4825.0423.84MIN: 39.26 / MAX: 53.15MIN: 24.65 / MAX: 37.66MIN: 32.67 / MAX: 45.9MIN: 31.66 / MAX: 46.35MIN: 26.09 / MAX: 38.76MIN: 27.72 / MAX: 40.81MIN: 29.08 / MAX: 40.82MIN: 29.77 / MAX: 40.96MIN: 32.23 / MAX: 45.55MIN: 24.34 / MAX: 37.43MIN: 23.19 / MAX: 35.631. (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: SqueezeNetV1.0Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.082, N = 3SE +/- 0.060, N = 3SE +/- 0.100, N = 3SE +/- 0.076, N = 8SE +/- 0.062, N = 15SE +/- 0.059, N = 3SE +/- 0.080, N = 3SE +/- 0.084, N = 3SE +/- 0.021, N = 3SE +/- 0.052, N = 3SE +/- 0.070, N = 38.1624.3317.2357.2346.1116.4486.0346.5625.6514.9214.165MIN: 7.83 / MAX: 11.13MIN: 4.15 / MAX: 16.62MIN: 6.96 / MAX: 9.38MIN: 6.68 / MAX: 15.68MIN: 5.64 / MAX: 17.69MIN: 6.19 / MAX: 16.36MIN: 5.82 / MAX: 15.84MIN: 6.33 / MAX: 8.06MIN: 5.51 / MAX: 10.9MIN: 4.74 / MAX: 6.94MIN: 4.02 / MAX: 5.671. (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

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 316.8517.0616.3816.4023.2023.6415.6514.7614.4820.3421.95

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.02620.05240.07860.10480.131SE +/- 0.00118276, N = 3SE +/- 0.00032095, N = 3SE +/- 0.00093524, N = 3SE +/- 0.00086563, N = 3SE +/- 0.00117965, N = 15SE +/- 0.00107634, N = 3SE +/- 0.00131011, N = 15SE +/- 0.00138595, N = 3SE +/- 0.00016538, N = 3SE +/- 0.00010732, N = 3SE +/- 0.00040989, N = 30.110595130.097657810.113382120.110959950.085733400.086593970.110188770.116432470.100639760.089303340.08734160

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X60120180240300125.26166.41155.82160.13134.45111.39199.43265.42282.58225.90171.70

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 SceneRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X4080120160200SE +/- 0.49, N = 3SE +/- 0.20, N = 3SE +/- 0.56, N = 3SE +/- 0.27, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.22, N = 3SE +/- 1.12, N = 3SE +/- 0.20, N = 3SE +/- 0.18, N = 379.70109.47100.55103.7180.3966.15133.84180.78198.11146.32108.671. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

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-bitRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X306090120150SE +/- 0.29, N = 3SE +/- 0.14, N = 3SE +/- 0.37, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3113.75131.94110.90110.59128.47133.14105.0697.93102.72117.34124.60MIN: 77.63 / MAX: 233.82MIN: 84.38 / MAX: 304.84MIN: 74.1 / MAX: 238.95MIN: 74.04 / MAX: 240.86MIN: 88.05 / MAX: 273.02MIN: 92.76 / MAX: 272.06MIN: 69.5 / MAX: 241.03MIN: 63.93 / MAX: 233.22MIN: 66.79 / MAX: 241.72MIN: 77.76 / MAX: 285.64MIN: 83.42 / MAX: 292.971. (CC) gcc options: -pthread

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 V4Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X900K1800K2700K3600K4500KSE +/- 902.45, N = 3SE +/- 212.21, N = 3SE +/- 699.74, N = 3SE +/- 793.87, N = 3SE +/- 185.20, N = 3SE +/- 792.49, N = 3SE +/- 1145.44, N = 3SE +/- 2496.69, N = 3SE +/- 2267.19, N = 3SE +/- 515.65, N = 3SE +/- 223.68, N = 314324032372930196194019990701780380134695726008403713107435082332675802391460

Fhourstones

This integer benchmark solves positions in the game of Connect-4, as played on a vertical 7x6 board. By default, it uses a 64Mb transposition table with the twobig replacement strategy. Positions are represented as 64-bit bitboards, and the hash function is computed using a single 64-bit modulo operation, giving 64-bit machines a slight edge. The alpha-beta searcher sorts moves dynamically based on the history heuristic. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKpos / sec, More Is BetterFhourstones 3.1Complex Connect-4 SolvingRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X4K8K12K16K20KSE +/- 67.33, N = 3SE +/- 15.99, N = 3SE +/- 155.45, N = 8SE +/- 104.27, N = 3SE +/- 46.12, N = 3SE +/- 274.41, N = 3SE +/- 32.40, N = 3SE +/- 25.69, N = 3SE +/- 15.81, N = 3SE +/- 185.84, N = 3SE +/- 51.62, N = 315875.817624.815572.815451.020018.520223.016160.115263.715846.120100.720877.61. (CC) gcc options: -O3

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 V2Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X800K1600K2400K3200K4000KSE +/- 289.04, N = 3SE +/- 151.69, N = 3SE +/- 568.71, N = 3SE +/- 594.04, N = 3SE +/- 569.48, N = 3SE +/- 427.88, N = 3SE +/- 651.16, N = 3SE +/- 752.71, N = 3SE +/- 2574.96, N = 3SE +/- 979.40, N = 3SE +/- 333.18, N = 312884072139593176101017950131598013121223723514973356693393806329460002159383

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1530456075SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 0.44, N = 3SE +/- 0.81, N = 3SE +/- 0.70, N = 3SE +/- 0.86, N = 3SE +/- 0.57, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 369.6462.6468.1667.7960.4562.5566.4666.2569.0162.7959.78

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: 200Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20K40K60K80K100KSE +/- 37.78, N = 3SE +/- 271.18, N = 3SE +/- 46.94, N = 3SE +/- 97.95, N = 3SE +/- 478.94, N = 3SE +/- 473.56, N = 3SE +/- 989.81, N = 8SE +/- 328.34, N = 3SE +/- 179.78, N = 3SE +/- 89.09, N = 3SE +/- 51.56, N = 310561775313105803107356783478092496129975878958474254708191. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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: CPURyzen 5 5600XRyzen 7 5800X7001400210028003500SE +/- 9.00, N = 3SE +/- 31.98, N = 63087.082313.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1020304050SE +/- 0.20, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 336.4035.2036.3036.2044.8044.4036.5035.3336.8043.4544.221. chrome 86.0.4240.75

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 LeukocyteRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X306090120150SE +/- 0.56, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.08, N = 3SE +/- 0.90, N = 3SE +/- 0.45, N = 3SE +/- 1.10, N = 3SE +/- 0.68, N = 3SE +/- 0.28, N = 3SE +/- 0.59, N = 377.7882.9886.7988.5972.5669.81118.74127.40131.40106.40101.561. (CXX) g++ options: -O2 -lOpenCL

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 CompileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20406080100SE +/- 0.02, N = 3SE +/- 0.31, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 3SE +/- 0.16, N = 390.5587.4394.0394.9383.5882.4799.06109.64110.0399.3191.23

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: SlowRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310.266.807.567.378.4710.805.964.503.935.166.791. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.00020.00040.00060.00080.001SE +/- 0.00000624, N = 13SE +/- 0.00000313, N = 3SE +/- 0.00000610, N = 15SE +/- 0.00000316, N = 3SE +/- 0.00000408, N = 3SE +/- 0.00001012, N = 3SE +/- 0.00001084, N = 3SE +/- 0.00000757, N = 3SE +/- 0.00000106, N = 3SE +/- 0.00000439, N = 3SE +/- 0.00000422, N = 30.000768620.000702280.000753640.000749990.000650210.000649730.000699960.000735480.000732810.000686380.00066754

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: MediumRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310.406.967.717.518.6010.946.074.594.045.256.921. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

ACES DGEMM

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

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.064485, N = 15SE +/- 0.042599, N = 3SE +/- 0.056961, N = 3SE +/- 0.046914, N = 7SE +/- 0.081541, N = 3SE +/- 0.129211, N = 3SE +/- 0.031737, N = 8SE +/- 0.031404, N = 3SE +/- 0.010830, N = 3SE +/- 0.063332, N = 3SE +/- 0.045288, N = 35.4767335.3032404.2365344.1679657.4312499.0653963.0046232.2852112.7408914.0196495.2050281. (CC) gcc options: -O3 -march=native -fopenmp

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 AtomsRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.64571.29141.93712.58283.2285SE +/- 0.00338, N = 3SE +/- 0.00955, N = 3SE +/- 0.00173, N = 3SE +/- 0.00121, N = 3SE +/- 0.00218, N = 3SE +/- 0.00545, N = 3SE +/- 0.00102, N = 3SE +/- 0.00119, N = 3SE +/- 0.00373, N = 3SE +/- 0.00099, N = 3SE +/- 0.00157, N = 31.149971.236071.495261.544881.274081.070982.117112.869952.085592.379351.78164

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X60120180240300SE +/- 0.73, N = 3SE +/- 0.35, N = 3SE +/- 0.49, N = 3SE +/- 0.24, N = 3SE +/- 1.28, N = 3SE +/- 0.05, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.44, N = 3236.58192.75182.97177.75233.83286.17128.7894.03114.36125.94168.42MIN: 1 / MAX: 853MIN: 1 / MAX: 767MIN: 1 / MAX: 652MIN: 1 / MAX: 634MIN: 1 / MAX: 918MIN: 1 / MAX: 1102MIN: 1 / MAX: 463MIN: 1 / MAX: 339MIN: 1 / MAX: 458MIN: 1 / MAX: 503MIN: 1 / MAX: 670

Tachyon

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X306090120150SE +/- 0.47, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 1.12, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.87, N = 3SE +/- 0.13, N = 3SE +/- 1.56, N = 4SE +/- 0.21, N = 3SE +/- 0.17, N = 346.3765.9860.1273.9752.3643.4687.94117.56120.6499.6673.421. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -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: python_startupRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 38.106.748.018.126.386.427.197.536.937.216.78

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: 19Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1020304050SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 339.530.338.938.744.644.232.327.037.233.537.11. (CC) gcc options: -O3 -pthread -lz -llzma

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: 0Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20406080100SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.44, N = 3SE +/- 0.05, N = 3SE +/- 0.27, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.63, N = 3SE +/- 0.39, N = 3SE +/- 0.18, N = 359.4071.8667.3068.1858.6552.7580.88101.97106.4188.1471.481. (CXX) g++ options: -O3 -fPIC

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.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.55581.11161.66742.22322.779SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 62.431.931.972.102.202.471.561.291.281.291.721. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 37.838.087.807.739.519.508.087.697.889.689.831. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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: mobilenet-v1-1.0Ryzen 5 5600XRyzen 7 5800X0.96591.93182.89773.86364.8295SE +/- 0.002, N = 3SE +/- 0.005, N = 34.2934.153MIN: 4.25 / MAX: 4.64MIN: 4.12 / MAX: 11.361. (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

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 CompileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20406080100SE +/- 0.56, N = 3SE +/- 0.50, N = 3SE +/- 0.60, N = 3SE +/- 0.50, N = 3SE +/- 0.47, N = 3SE +/- 0.64, N = 3SE +/- 0.51, N = 3SE +/- 0.56, N = 3SE +/- 0.71, N = 3SE +/- 0.56, N = 3SE +/- 0.35, N = 347.3663.9556.7857.9152.2745.4276.69100.40106.4389.8471.21

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X12M24M36M48M60MSE +/- 127032.63, N = 3SE +/- 66368.72, N = 3SE +/- 140100.66, N = 3SE +/- 69587.97, N = 3SE +/- 241698.18, N = 3SE +/- 325858.19, N = 3SE +/- 154542.53, N = 3SE +/- 72350.39, N = 3SE +/- 21979.47, N = 3SE +/- 136771.99, N = 3SE +/- 96227.67, N = 352407367357268133891539538124311456012555674235027808441208717711965307924584351325203191. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

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.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.55131.10261.65392.20522.7565SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.431.931.992.072.192.451.521.281.281.261.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURyzen 5 5600XRyzen 7 5800X7001400210028003500SE +/- 39.99, N = 3SE +/- 24.63, N = 33144.772411.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.81451.6292.44353.2584.0725SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.253.342.622.783.063.621.941.682.111.802.271. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.81231.62462.43693.24924.0615SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.273.292.612.783.063.611.941.682.101.782.271. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -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: raytraceRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X90180270360450SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3417353413428344344406427373352342

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 FP32 - Device: CPURyzen 5 5600XRyzen 7 5800X5001000150020002500SE +/- 5.27, N = 3SE +/- 10.68, N = 32244.481760.661. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURyzen 5 5600XRyzen 7 5800X5001000150020002500SE +/- 2.11, N = 3SE +/- 1.98, N = 32225.201765.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X7K14K21K28K35KSE +/- 105.68, N = 3SE +/- 95.40, N = 3SE +/- 54.08, N = 3SE +/- 51.29, N = 3SE +/- 55.57, N = 3SE +/- 90.96, N = 3SE +/- 50.98, N = 3SE +/- 45.92, N = 3SE +/- 22.70, N = 3SE +/- 53.82, N = 3SE +/- 9.94, N = 32841619765215172091026420325611542211409112611431018824

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 degRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1632486480SE +/- 0.34, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.79, N = 3SE +/- 0.53, N = 3SE +/- 0.17, N = 3SE +/- 0.50, N = 3SE +/- 0.30, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 369.7066.3768.8971.6257.3657.7269.1972.0970.2858.1456.791. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

Timed MrBayes Analysis

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1632486480SE +/- 0.39, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 370.2463.6369.9472.7456.9961.5866.9169.2568.8354.5355.10-msse4a -msha-mmpx-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-mmpx-mmpx-mmpx1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -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: DLSCRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.80781.61562.42343.23124.039SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 33.292.212.502.402.933.591.801.331.261.612.11MIN: 3.15 / MAX: 3.44MIN: 2.12 / MAX: 2.33MIN: 2.39 / MAX: 2.58MIN: 2.29 / MAX: 2.49MIN: 2.79 / MAX: 3.06MIN: 3.43 / MAX: 3.83MIN: 1.72 / MAX: 1.86MIN: 1.26 / MAX: 1.37MIN: 1.22 / MAX: 1.28MIN: 1.53 / MAX: 1.65MIN: 2 / MAX: 2.2

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.85731.71462.57193.42924.2865SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.642.462.732.643.133.811.931.421.401.672.27MIN: 3.55 / MAX: 3.67MIN: 2.39 / MAX: 2.52MIN: 2.68 / MAX: 2.76MIN: 2.59 / MAX: 2.68MIN: 3.07 / MAX: 3.18MIN: 3.73 / MAX: 3.9MIN: 1.89 / MAX: 1.98MIN: 1.38 / MAX: 1.47MIN: 1.37 / MAX: 1.45MIN: 1.62 / MAX: 1.73MIN: 2.21 / MAX: 2.36

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X50K100K150K200K250KSE +/- 197.01, N = 3SE +/- 273.40, N = 3SE +/- 739.92, N = 3SE +/- 186.00, N = 3SE +/- 519.62, N = 3SE +/- 317.75, N = 3SE +/- 928.82, N = 3SE +/- 192.72, N = 3SE +/- 40.25, N = 3SE +/- 95.69, N = 3SE +/- 963.62, N = 3117199147694139014140368122229106372156768213644236704180417137424

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X60K120K180K240K300KSE +/- 47.83, N = 3SE +/- 7.51, N = 3SE +/- 149.12, N = 3SE +/- 17.57, N = 3SE +/- 69.62, N = 3SE +/- 64.29, N = 3SE +/- 92.04, N = 3SE +/- 12.72, N = 3SE +/- 9.85, N = 3SE +/- 81.10, N = 3SE +/- 51.27, N = 3100527.0167595.0135602.0138101.0123127.094678.2180202.0251199.0296354.0220801.0165819.0

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X40K80K120K160K200KSE +/- 58.97, N = 3SE +/- 153.73, N = 3SE +/- 28.10, N = 3SE +/- 43.17, N = 3SE +/- 47.41, N = 3SE +/- 43.98, N = 3SE +/- 54.42, N = 3SE +/- 32.84, N = 3SE +/- 52.68, N = 3SE +/- 28.62, N = 3SE +/- 38.40, N = 366530.3114230.092214.293903.683458.762588.7120735.0171301.0202481.0150133.0110856.0

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X40K80K120K160K200KSE +/- 29.88, N = 3SE +/- 268.60, N = 3SE +/- 14.97, N = 3SE +/- 68.68, N = 3SE +/- 56.67, N = 3SE +/- 45.89, N = 3SE +/- 113.90, N = 3SE +/- 18.84, N = 3SE +/- 26.52, N = 3SE +/- 45.21, N = 3SE +/- 38.44, N = 368497.9117619.094517.096280.291290.467914.5123482.0175736.0205404.0164490.0122169.0

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.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3K6K9K12K15KSE +/- 122.60, N = 3SE +/- 17.62, N = 3SE +/- 36.37, N = 3SE +/- 41.23, N = 3SE +/- 11.51, N = 3SE +/- 16.60, N = 3SE +/- 17.51, N = 3SE +/- 10.70, N = 3SE +/- 15.37, N = 3SE +/- 5.04, N = 3SE +/- 9.82, N = 312280.859817.088760.849097.7410933.3313580.757134.905795.795506.566330.568400.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X714212835SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.33, N = 329.0825.0028.6828.9021.8122.6328.0329.7927.7920.3919.89MIN: 28.81 / MAX: 29.7MIN: 24.78 / MAX: 25.84MIN: 28.4 / MAX: 37.04MIN: 28.52 / MAX: 83.18MIN: 21.37 / MAX: 22.7MIN: 22.14 / MAX: 23.14MIN: 27.86 / MAX: 28.69MIN: 29.39 / MAX: 54.87MIN: 27.7 / MAX: 29.86MIN: 20.15 / MAX: 21.63MIN: 19.15 / MAX: 21.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X714212835SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.38, N = 3SE +/- 0.22, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.29, N = 329.9124.2827.6627.8224.2925.4828.4731.6029.2024.7822.09MIN: 29.44 / MAX: 31.38MIN: 23.97 / MAX: 25.62MIN: 27.41 / MAX: 33.56MIN: 27.35 / MAX: 28.71MIN: 23.69 / MAX: 27.95MIN: 24.9 / MAX: 41.04MIN: 28.22 / MAX: 30.66MIN: 31.38 / MAX: 32.98MIN: 28.94 / MAX: 30.06MIN: 24.6 / MAX: 36.85MIN: 21.65 / MAX: 35.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X48121620SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 2SE +/- 0.01, N = 317.9113.5616.4816.7013.3214.6216.9217.5714.8912.7112.78MIN: 17.65 / MAX: 28.08MIN: 13.34 / MAX: 23.75MIN: 16.31 / MAX: 28.36MIN: 16.36 / MAX: 72.05MIN: 13.09 / MAX: 14.66MIN: 14.51 / MAX: 15.37MIN: 16.79 / MAX: 26.29MIN: 17.45 / MAX: 19.63MIN: 14.8 / MAX: 16.25MIN: 12.62 / MAX: 13.55MIN: 12.65 / MAX: 14.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X510152025SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 2SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 319.2413.2817.3117.3812.6813.4316.0517.0314.9211.3910.75MIN: 18.5 / MAX: 19.94MIN: 12.98 / MAX: 14.24MIN: 16.92 / MAX: 19.54MIN: 16.96 / MAX: 17.94MIN: 12.51 / MAX: 13.3MIN: 13.03 / MAX: 14.09MIN: 15.94 / MAX: 25.37MIN: 16.81 / MAX: 18.21MIN: 14.77 / MAX: 16.85MIN: 11.27 / MAX: 12.52MIN: 10.63 / MAX: 11.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 37.105.896.626.615.195.257.017.366.834.243.90MIN: 6.88 / MAX: 8.39MIN: 5.82 / MAX: 7.01MIN: 6.51 / MAX: 7.75MIN: 6.48 / MAX: 7.84MIN: 5.01 / MAX: 5.68MIN: 5.19 / MAX: 9.21MIN: 6.92 / MAX: 8.19MIN: 7.22 / MAX: 8.57MIN: 6.75 / MAX: 8.34MIN: 4.15 / MAX: 5.32MIN: 3.84 / MAX: 8.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1.15882.31763.47644.63525.794SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.154.004.754.753.994.164.835.084.412.902.68MIN: 5.03 / MAX: 5.6MIN: 3.91 / MAX: 4.67MIN: 4.7 / MAX: 5.67MIN: 4.68 / MAX: 5.93MIN: 3.93 / MAX: 4.83MIN: 4.11 / MAX: 5.11MIN: 4.73 / MAX: 5.7MIN: 4.97 / MAX: 6.88MIN: 4.31 / MAX: 5.93MIN: 2.87 / MAX: 4.06MIN: 2.64 / MAX: 3.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1.30952.6193.92855.2386.5475SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.825.065.395.404.144.375.555.645.333.102.88MIN: 5.69 / MAX: 6.18MIN: 4.97 / MAX: 6.13MIN: 5.23 / MAX: 6.48MIN: 5.25 / MAX: 6.16MIN: 4.08 / MAX: 5.04MIN: 4.29 / MAX: 5.32MIN: 5.45 / MAX: 10.07MIN: 5.52 / MAX: 7.35MIN: 5.16 / MAX: 6.82MIN: 3.03 / MAX: 4.25MIN: 2.83 / MAX: 4.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X510152025SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 317.1216.4116.5016.4912.3612.6517.0818.8318.7912.8511.79MIN: 16.58 / MAX: 50.65MIN: 16.34 / MAX: 17.53MIN: 16.21 / MAX: 16.8MIN: 16.16 / MAX: 16.99MIN: 12.07 / MAX: 31.33MIN: 12.38 / MAX: 13.1MIN: 16.45 / MAX: 18.57MIN: 18.42 / MAX: 19.87MIN: 18.56 / MAX: 29.54MIN: 12.75 / MAX: 14.82MIN: 11.48 / MAX: 25.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X48121620SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 315.9714.0416.3915.9512.9513.3016.2917.8816.1712.3711.52MIN: 15.54 / MAX: 16.76MIN: 13.85 / MAX: 15.37MIN: 15.95 / MAX: 85.44MIN: 15.58 / MAX: 16.48MIN: 12.49 / MAX: 14.61MIN: 12.97 / MAX: 13.74MIN: 15.98 / MAX: 18.5MIN: 17.74 / MAX: 19.69MIN: 15.98 / MAX: 27.23MIN: 12.21 / MAX: 26.56MIN: 11.31 / MAX: 11.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: CPURyzen 5 5600XRyzen 7 5800X0.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 30.620.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X500K1000K1500K2000K2500KSE +/- 9609.02, N = 3SE +/- 10837.18, N = 3SE +/- 1666.67, N = 3SE +/- 1201.85, N = 3SE +/- 2027.59, N = 3SE +/- 577.35, N = 3SE +/- 1317.78, N = 3SE +/- 390.65, N = 3SE +/- 620.08, N = 3SE +/- 1193.14, N = 3SE +/- 1666.67, N = 31868000133133314136671366667184066722260009915997240837529989636861297667-lgmp-lgmp-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

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.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3K6K9K12K15KSE +/- 34.34, N = 3SE +/- 69.83, N = 3SE +/- 3.76, N = 3SE +/- 28.66, N = 3SE +/- 8.30, N = 3SE +/- 14.40, N = 3SE +/- 38.82, N = 3SE +/- 26.31, N = 3SE +/- 16.16, N = 3SE +/- 3.08, N = 3SE +/- 9.53, N = 312650.249817.408748.799125.6910990.5413518.297092.345700.855477.656222.638332.971. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X90180270360450SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 34072693012983304202151571501762281. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 FP32 - Device: CPURyzen 5 5600XRyzen 7 5800X0.14180.28360.42540.56720.709SE +/- 0.00, N = 3SE +/- 0.00, N = 30.630.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X400800120016002000SE +/- 1.73, N = 3SE +/- 0.67, N = 3SE +/- 2.03, N = 3SE +/- 1.20, N = 3SE +/- 1.86, N = 3SE +/- 1.45, N = 3SE +/- 1.45, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3182912641415143216101893103176073991511871. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X2004006008001000SE +/- 1.20, N = 3SE +/- 9.68, N = 3SE +/- 12.84, N = 3SE +/- 8.11, N = 3SE +/- 3.51, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 6.01, N = 3SE +/- 3.79, N = 379994572676610561042794754862103510721. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20406080100SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 333.8459.6145.8246.7437.5429.5565.3490.23108.0670.7454.361. (CXX) g++ options: -fopenmp -O2 -march=native

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: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1632486480SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 347.4757.1756.2351.4248.4145.7464.0271.4664.9468.3757.68MIN: 46.54MIN: 56.54MIN: 55.46MIN: 50.48MIN: 47.56MIN: 44.74MIN: 62.9MIN: 70MIN: 63.43MIN: 67.42MIN: 56.931. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X4080120160200SE +/- 0.56, N = 3SE +/- 0.58, N = 3SE +/- 0.68, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.32, N = 3SE +/- 0.28, N = 3SE +/- 0.25, N = 3SE +/- 0.33, N = 3SE +/- 0.25, N = 3141.8138.0142.4140.2167.0167.0143.2136.5135.0163.2168.01. chrome 86.0.4240.75

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20406080100SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 331.3352.1342.0342.8937.7830.2260.0282.4494.6071.9054.861. (CC) gcc options: -lm -lpthread -O3

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1428425670SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 352.3953.6753.5154.3445.8546.3457.8463.4160.9353.2949.321. RawTherapee, version 5.8, command line.

Radiance Benchmark

This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParallelRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X4080120160200169.17183.25170.08171.79134.28135.23167.36172.48192.56133.29131.40

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1224364860SE +/- 0.52, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 354.0949.2353.6954.6745.0545.0552.4555.2152.5346.1544.36

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1530456075SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 342.3747.7946.2746.7940.1237.3754.1464.4166.2655.9647.70

SQLite Speedtest

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1326395265SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.47, N = 3SE +/- 0.09, N = 3SE +/- 0.71, N = 3SE +/- 0.18, N = 3SE +/- 0.68, N = 3SE +/- 0.26, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 355.0746.5656.7755.7841.5442.6853.9857.3049.0543.0641.681. (CC) gcc options: -O2 -ldl -lz -lpthread

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20406080100SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 331.6546.5440.6741.2733.8028.2654.9773.8380.0860.7346.741. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 5 5600XRyzen 7 5800X48121620SE +/- 0.08, N = 3SE +/- 0.01, N = 315.3014.37MIN: 15.06 / MAX: 15.9MIN: 14.12 / MAX: 18.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ryzen 5 5600XRyzen 7 5800X1428425670SE +/- 0.18, N = 3SE +/- 0.01, N = 361.7261.21MIN: 60.76 / MAX: 66.57MIN: 60.82 / MAX: 70.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRyzen 5 5600XRyzen 7 5800X0.22050.4410.66150.8821.1025SE +/- 0.00, N = 3SE +/- 0.00, N = 30.980.96MIN: 0.97 / MAX: 1.01MIN: 0.94 / MAX: 11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRyzen 5 5600XRyzen 7 5800X0.64581.29161.93742.58323.229SE +/- 0.02, N = 3SE +/- 0.00, N = 32.872.59MIN: 2.79 / MAX: 7.15MIN: 2.54 / MAX: 3.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Ryzen 5 5600XRyzen 7 5800X0.48830.97661.46491.95322.4415SE +/- 0.01, N = 3SE +/- 0.00, N = 32.171.98MIN: 2.14 / MAX: 2.97MIN: 1.96 / MAX: 2.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1632486480SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 333.4744.8739.5240.4834.1629.8251.2465.2770.3456.2245.33

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 PDFRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.046, N = 25SE +/- 0.062, N = 23SE +/- 0.053, N = 25SE +/- 0.040, N = 25SE +/- 0.044, N = 25SE +/- 0.047, N = 23SE +/- 0.050, N = 20SE +/- 0.051, N = 22SE +/- 0.062, N = 22SE +/- 0.063, N = 22SE +/- 0.060, N = 236.4126.2896.3556.5065.1425.1266.2076.4816.5685.2655.0661. LibreOffice 7.0.1.2 00(Build:2)

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: 2Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1428425670SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 335.6842.7740.4341.1135.2132.2048.5261.3463.9053.5343.361. (CXX) g++ options: -O3 -fPIC

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.1561, N = 3SE +/- 0.0304, N = 3SE +/- 0.0220, N = 3SE +/- 0.0177, N = 3SE +/- 0.0395, N = 3SE +/- 0.1054, N = 3SE +/- 0.0316, N = 3SE +/- 0.0234, N = 3SE +/- 0.1152, N = 3SE +/- 0.1142, N = 3SE +/- 0.0349, N = 319.874617.704115.287314.959419.467923.784211.04828.30259.794610.391213.8435MIN: 19.42 / MAX: 20.41MIN: 17.49 / MAX: 18.13MIN: 15.12 / MAX: 15.64MIN: 14.82 / MAX: 15.29MIN: 19.24 / MAX: 19.87MIN: 23.34 / MAX: 24.54MIN: 10.81 / MAX: 11.32MIN: 8.23 / MAX: 8.46MIN: 9.48 / MAX: 10.12MIN: 9.88 / MAX: 10.68MIN: 13.69 / MAX: 14.23

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.0376, N = 3SE +/- 0.0182, N = 3SE +/- 0.0477, N = 3SE +/- 0.0537, N = 3SE +/- 0.1287, N = 3SE +/- 0.1569, N = 3SE +/- 0.0479, N = 3SE +/- 0.0259, N = 3SE +/- 0.0261, N = 3SE +/- 0.0102, N = 3SE +/- 0.0933, N = 321.044015.424716.092615.659019.922924.275711.56798.65448.574410.669114.1771MIN: 20.83 / MAX: 21.49MIN: 14.96 / MAX: 15.79MIN: 15.89 / MAX: 16.56MIN: 15.48 / MAX: 16.06MIN: 19.53 / MAX: 20.41MIN: 23.87 / MAX: 25.12MIN: 11.44 / MAX: 11.85MIN: 8.58 / MAX: 8.85MIN: 8.48 / MAX: 8.74MIN: 10.59 / MAX: 10.83MIN: 13.98 / MAX: 14.61

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: ETC1SRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1224364860SE +/- 0.38, N = 3SE +/- 0.38, N = 3SE +/- 0.64, N = 3SE +/- 0.19, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.37, N = 342.2643.3043.5544.3537.4036.7845.8351.3552.4143.6639.871. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

DeepSpeech

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20406080100SE +/- 0.51, N = 3SE +/- 1.00, N = 3SE +/- 0.37, N = 3SE +/- 0.32, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.26, N = 3SE +/- 0.14, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 3SE +/- 0.27, N = 363.2378.0265.5865.3758.4059.6561.2457.7064.0750.5055.00

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X510152025SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 318.5115.8218.3818.5614.8114.7518.0618.9717.0514.9714.311. chrome 86.0.4240.75

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1020304050SE +/- 0.12, N = 3SE +/- 0.34, N = 15SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.64, N = 3SE +/- 0.24, N = 3SE +/- 0.20, N = 325.6633.1426.8628.1322.7722.2032.7236.3444.9431.0428.13

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.1585, N = 3SE +/- 0.1053, N = 3SE +/- 0.0456, N = 3SE +/- 0.1165, N = 3SE +/- 0.0945, N = 3SE +/- 0.1295, N = 3SE +/- 0.0407, N = 3SE +/- 0.0493, N = 3SE +/- 0.0117, N = 3SE +/- 0.0495, N = 3SE +/- 0.0477, N = 321.869217.630716.990016.843020.378925.072212.52109.630310.072911.923115.2451MIN: 21.44 / MAX: 22.58MIN: 17.35 / MAX: 18.02MIN: 16.82 / MAX: 17.33MIN: 16.53 / MAX: 17.33MIN: 20.06 / MAX: 20.8MIN: 24.83 / MAX: 25.95MIN: 12.41 / MAX: 12.79MIN: 9.54 / MAX: 9.84MIN: 10.02 / MAX: 10.19MIN: 11.25 / MAX: 12.08MIN: 15.12 / MAX: 15.6

POV-Ray

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1326395265SE +/- 0.04, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 323.5133.7330.5831.5327.4223.0142.7758.7359.3450.2237.331. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.1616, N = 3SE +/- 0.0173, N = 3SE +/- 0.0456, N = 3SE +/- 0.1843, N = 3SE +/- 0.0158, N = 3SE +/- 0.1286, N = 3SE +/- 0.0774, N = 3SE +/- 0.0507, N = 3SE +/- 0.0502, N = 3SE +/- 0.0501, N = 3SE +/- 0.2329, N = 321.663520.429916.832316.525520.479825.589712.40079.512012.337012.177515.3152MIN: 21.35 / MAX: 22.34MIN: 20.28 / MAX: 20.88MIN: 16.65 / MAX: 17.13MIN: 15.44 / MAX: 17.03MIN: 20.33 / MAX: 20.81MIN: 25.22 / MAX: 26.09MIN: 12.25 / MAX: 12.74MIN: 9.4 / MAX: 9.74MIN: 12.23 / MAX: 12.58MIN: 12 / MAX: 12.41MIN: 14.69 / MAX: 15.75

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 4KRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 4SE +/- 0.11, N = 3SE +/- 0.05, N = 323.0918.8119.6519.3723.5426.5012.4811.7012.5614.4715.141. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X70140210280350SE +/- 1.14, N = 3SE +/- 2.01, N = 3SE +/- 0.37, N = 3SE +/- 1.41, N = 3SE +/- 0.56, N = 3SE +/- 0.55, N = 3SE +/- 0.55, N = 3SE +/- 1.94, N = 3SE +/- 1.39, N = 3SE +/- 0.23, N = 3SE +/- 1.08, N = 3207.12214.09220.22232.66179.87161.22263.00318.34344.92282.75206.31MIN: 203.26MIN: 206.29MIN: 218.35MIN: 229.79MIN: 178.58MIN: 159.59MIN: 260.82MIN: 312.42MIN: 339.7MIN: 281.12MIN: 202.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X918273645SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 337.2332.3637.1937.4630.8830.8536.4638.5535.1031.9830.58

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X816243240SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 336.6431.7335.9936.7830.5630.7434.7436.7534.1230.8929.58

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 FastRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 325.1719.5721.1620.6423.7426.5916.9512.7511.4714.6319.501. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 SynthesisRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.11, N = 4SE +/- 0.14, N = 4SE +/- 0.38, N = 4SE +/- 0.14, N = 4SE +/- 0.09, N = 4SE +/- 0.06, N = 4SE +/- 0.11, N = 4SE +/- 0.06, N = 4SE +/- 0.12, N = 4SE +/- 0.08, N = 4SE +/- 0.13, N = 426.6825.3026.7126.8121.3221.4626.0827.4826.7721.6520.921. (CC) gcc options: -O2 -std=c99

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 CompressionRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X816243240SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 332.3031.1232.5832.0127.6227.2731.2032.5333.1627.9127.091. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Timed MPlayer Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1122334455SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 320.7829.0425.0625.7722.0219.0233.9343.9047.8338.5730.53

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 TestRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20K40K60K80K100KSE +/- 191.60, N = 3SE +/- 35.83, N = 3SE +/- 28.54, N = 3SE +/- 286.83, N = 3SE +/- 80.31, N = 3SE +/- 79.67, N = 3SE +/- 139.97, N = 3SE +/- 44.51, N = 3SE +/- 325.15, N = 3SE +/- 206.95, N = 3SE +/- 144.14, N = 390071647727755076909894379477956370438554189754132660871. (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: nbodyRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20406080100SE +/- 0.03, N = 3SE +/- 0.33, N = 3SE +/- 0.24, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3102.093.0101.0103.088.789.0100.0105.098.790.188.7

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X8K16K24K32K40KSE +/- 35.59, N = 3SE +/- 35.89, N = 3SE +/- 62.78, N = 3SE +/- 49.65, N = 3SE +/- 53.48, N = 3SE +/- 100.07, N = 3SE +/- 22.65, N = 3SE +/- 8.45, N = 3SE +/- 1.20, N = 3SE +/- 10.67, N = 3SE +/- 27.14, N = 32809623591207292024430214383051449410481130221630121344-lgmp-lgmp-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X16K32K48K64K80KSE +/- 24.81, N = 3SE +/- 14.95, N = 3SE +/- 14.11, N = 3SE +/- 45.94, N = 3SE +/- 55.59, N = 3SE +/- 44.40, N = 3SE +/- 22.25, N = 3SE +/- 13.11, N = 3SE +/- 7.26, N = 3SE +/- 21.62, N = 3SE +/- 29.84, N = 358788.4745909.6543919.3142773.9761777.8574570.4230745.6122344.1525302.4532451.2544048.301. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

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: 3Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X13002600390052006500SE +/- 11.36, N = 3SE +/- 3.56, N = 3SE +/- 9.17, N = 3SE +/- 11.08, N = 3SE +/- 1.96, N = 3SE +/- 17.79, N = 3SE +/- 16.97, N = 3SE +/- 5.02, N = 3SE +/- 10.49, N = 3SE +/- 6.00, N = 3SE +/- 11.91, N = 34059.12922.34483.54499.85879.84896.14265.94561.33633.46000.44715.81. (CC) gcc options: -O3 -pthread -lz -llzma

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: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.00820, N = 3SE +/- 0.01117, N = 3SE +/- 0.00634, N = 3SE +/- 0.03302, N = 3SE +/- 0.00462, N = 3SE +/- 0.00617, N = 3SE +/- 0.06515, N = 15SE +/- 0.02579, N = 3SE +/- 0.02430, N = 3SE +/- 0.01194, N = 3SE +/- 0.00626, N = 32.476062.962533.153043.264372.724672.276104.488766.590165.459674.920773.53951MIN: 2.42MIN: 2.92MIN: 3.08MIN: 3.14MIN: 2.66MIN: 2.2MIN: 4.22MIN: 6.32MIN: 5.25MIN: 4.73MIN: 3.441. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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_compileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3153134153158123123150158140126122

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 RealtimeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 319.4725.6719.6419.8225.3025.4519.4719.2621.7024.5325.461. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.03194, N = 3SE +/- 0.01927, N = 3SE +/- 0.01604, N = 3SE +/- 0.04241, N = 7SE +/- 0.01689, N = 3SE +/- 0.00620, N = 3SE +/- 0.06254, N = 15SE +/- 0.04407, N = 15SE +/- 0.01019, N = 3SE +/- 0.02155, N = 3SE +/- 0.01164, N = 34.039263.285624.813803.800313.003383.209106.236465.736874.336474.223373.12133MIN: 3.77MIN: 3.02MIN: 4.58MIN: 3.45MIN: 2.77MIN: 3.05MIN: 5.63MIN: 5.47MIN: 4.21MIN: 4.01MIN: 2.981. (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: blosclzRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3K6K9K12K15KSE +/- 23.94, N = 3SE +/- 18.50, N = 3SE +/- 32.32, N = 3SE +/- 27.76, N = 3SE +/- 62.90, N = 3SE +/- 40.83, N = 3SE +/- 21.12, N = 3SE +/- 13.28, N = 3SE +/- 9.56, N = 3SE +/- 62.37, N = 3SE +/- 39.00, N = 311474.910815.811473.911595.214645.414032.511505.511552.010868.215561.015924.61. (CXX) g++ options: -rdynamic

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 BenchmarkRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1224364860SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.35, N = 344.5741.5043.5943.1953.4254.9941.7639.0236.9449.1252.291. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X714212835SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 329.1825.4529.0729.4724.5324.6728.3629.6727.0425.0624.16

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X2004006008001000SE +/- 1.05, N = 3SE +/- 1.29, N = 3SE +/- 1.39, N = 3SE +/- 0.83, N = 3SE +/- 2.01, N = 3SE +/- 4.72, N = 3SE +/- 1.57, N = 3SE +/- 0.23, N = 3SE +/- 0.45, N = 3SE +/- 0.18, N = 3SE +/- 1.11, N = 3829.79706.15684.39670.09873.701025.44545.54420.46417.53576.38733.431. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

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: ThoroughRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X918273645SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 313.5521.3117.8118.3915.4112.8525.1334.3738.0128.8921.371. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X2004006008001000SE +/- 6.32, N = 3SE +/- 7.35, N = 3SE +/- 10.13, N = 3SE +/- 11.67, N = 3SE +/- 1.55, N = 3SE +/- 3.00, N = 3SE +/- 7.80, N = 3SE +/- 3.31, N = 3SE +/- 0.30, N = 3SE +/- 0.93, N = 3SE +/- 1.65, N = 3751.35829.30743.57717.42871.93885.60732.75716.75741.22830.95885.751. (CC) gcc options: -lm

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 2Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X918273645SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 318.3025.1822.6322.8818.7215.9629.3238.6741.4031.6724.821. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X160320480640800SE +/- 2.40, N = 3SE +/- 3.99, N = 3SE +/- 3.42, N = 3SE +/- 6.66, N = 3SE +/- 4.52, N = 3SE +/- 3.47, N = 3SE +/- 2.82, N = 3SE +/- 1.07, N = 3SE +/- 4.28, N = 3SE +/- 0.93, N = 3SE +/- 1.90, N = 3700.5754.9705.8715.3589.9590.1686.9721.3757.0606.8587.61. chrome 86.0.4240.75

Timed ImageMagick Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X816243240SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 320.5824.7422.7723.2219.5218.1727.9733.4535.4329.8225.22

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X714212835SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 321.2323.5823.8324.1121.2519.4725.8830.4829.8026.6323.28-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X160320480640800SE +/- 6.74, N = 3SE +/- 2.78, N = 3SE +/- 2.56, N = 3SE +/- 5.46, N = 3SE +/- 1.65, N = 3SE +/- 4.47, N = 3SE +/- 1.77, N = 3SE +/- 2.86, N = 3SE +/- 2.60, N = 3SE +/- 1.57, N = 3SE +/- 1.44, N = 3731.0709.4714.9745.9663.0673.1708.1737.2745.5664.5645.81. firefox 81.0

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: pathlibRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 315.614.315.415.812.712.715.216.115.213.212.7

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-PassRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1.18352.3673.55054.7345.9175SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.184.654.184.165.265.244.203.974.175.065.261. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X918273645SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 336.2628.3927.6627.3430.5638.4325.5417.8916.1220.4729.171. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.450.91.351.82.251.591.991.571.601.361.361.551.632.001.371.36

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: MediumRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X918273645SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 337.1629.3628.5628.1331.4739.3726.2018.3616.6720.9830.031. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 15SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.40, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 314.7316.9916.0316.2613.2512.2419.0124.8124.8020.2416.68

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.013, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.009, N = 3SE +/- 0.020, N = 3SE +/- 0.011, N = 3SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.000, N = 3SE +/- 0.007, N = 35.3204.3204.4934.4115.3156.0633.3472.4652.7072.9613.9341. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 DocumentRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X714212835SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 318.7319.8420.5621.0317.1915.5824.0330.1529.5025.3120.54

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X48121620SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 312.8911.1010.4611.0411.9113.747.656.366.876.979.05

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X816243240SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 313.5420.0717.3817.9315.6813.1424.3733.1735.6827.2020.45-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X510152025SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 319.1320.3618.9018.7916.4816.1718.4319.1022.3816.7916.16

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X816243240SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.36, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 325.3730.3425.6425.8331.1230.8126.9925.9928.6632.8333.231. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

Inkscape

Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 323.9219.8623.7824.2118.3218.5523.7823.8820.8617.8417.411. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X60120180240300SE +/- 0.29, N = 3SE +/- 3.74, N = 3SE +/- 2.02, N = 12SE +/- 0.80, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3SE +/- 1.57, N = 3SE +/- 0.65, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3240.34261.56236.45235.52215.55213.84231.37240.28278.41216.96208.12MIN: 239.2 / MAX: 249.7MIN: 253.09 / MAX: 270.4MIN: 224.41 / MAX: 244.45MIN: 233.06 / MAX: 238.56MIN: 214.45 / MAX: 216.73MIN: 213.22 / MAX: 214.97MIN: 228.01 / MAX: 242MIN: 237.48 / MAX: 242.43MIN: 278.09 / MAX: 284.76MIN: 216.75 / MAX: 217.19MIN: 207.98 / MAX: 208.31. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 ImagesRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X612182430SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 322.7419.1723.0023.0719.3819.3521.7522.6220.3518.1117.36

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X120240360480600SE +/- 5.13, N = 3SE +/- 0.12, N = 3SE +/- 6.64, N = 3SE +/- 0.08, N = 3SE +/- 0.24, N = 3SE +/- 0.54, N = 3SE +/- 3.75, N = 3SE +/- 3.10, N = 3SE +/- 0.37, N = 3SE +/- 0.32, N = 3SE +/- 0.24, N = 3501.99556.85488.01492.74548.75550.63499.69480.70523.67539.22562.601. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X100200300400500SE +/- 3.56, N = 3SE +/- 0.30, N = 3SE +/- 0.67, N = 3SE +/- 0.11, N = 3SE +/- 0.97, N = 3SE +/- 0.69, N = 3SE +/- 4.92, N = 3SE +/- 1.90, N = 3SE +/- 0.12, N = 3SE +/- 0.94, N = 3SE +/- 0.04, N = 3400.12446.45393.72403.65461.36465.90411.27390.47420.58453.52474.371. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X50100150200250SE +/- 0.61, N = 3SE +/- 0.66, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.62, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.44, N = 3SE +/- 0.29, N = 3201.96183.54197.64197.62228.06231.45171.17145.19143.26173.18198.88MIN: 138.19 / MAX: 209.94MIN: 147.87 / MAX: 191.59MIN: 160.44 / MAX: 207.45MIN: 158.2 / MAX: 208.72MIN: 183.97 / MAX: 245.09MIN: 167.76 / MAX: 241.46MIN: 153.68 / MAX: 184.63MIN: 138.55 / MAX: 159.76MIN: 134.31 / MAX: 160.76MIN: 163.49 / MAX: 194.95MIN: 181.82 / MAX: 218.41. (CC) gcc options: -pthread

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X4080120160200SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 2.75, N = 3SE +/- 0.21, N = 3SE +/- 0.60, N = 3SE +/- 0.37, N = 3SE +/- 0.49, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3157.12176.07159.83162.65173.79177.01168.05157.47165.64169.18176.441. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X10002000300040005000SE +/- 0.54, N = 3SE +/- 13.38, N = 3SE +/- 2.69, N = 3SE +/- 1.56, N = 3SE +/- 0.46, N = 3SE +/- 5.73, N = 3SE +/- 0.77, N = 3SE +/- 0.12, N = 3SE +/- 6.82, N = 3SE +/- 0.64, N = 3SE +/- 0.59, N = 34743.43712.33551.03489.83858.34897.32490.61806.42038.22027.32636.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X2004006008001000SE +/- 1.50, N = 3SE +/- 1.31, N = 3SE +/- 0.26, N = 3SE +/- 1.67, N = 3SE +/- 0.38, N = 3SE +/- 2.14, N = 3SE +/- 1.57, N = 3SE +/- 1.71, N = 3SE +/- 0.99, N = 3SE +/- 0.25, N = 3SE +/- 3.87, N = 3619.21785.87585.47586.78661.39688.70514.32438.49550.52545.09646.15MIN: 475.8 / MAX: 778.14MIN: 607.56 / MAX: 1067.02MIN: 461.07 / MAX: 715.8MIN: 461.53 / MAX: 717.45MIN: 505.19 / MAX: 829.84MIN: 524.41 / MAX: 874.26MIN: 394.76 / MAX: 717.47MIN: 334.01 / MAX: 673.67MIN: 404.15 / MAX: 850.71MIN: 401.83 / MAX: 840.98MIN: 484.41 / MAX: 891.481. (CC) gcc options: -pthread

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3M6M9M12M15MSE +/- 28955.96, N = 3SE +/- 18480.02, N = 3SE +/- 124855.19, N = 3SE +/- 33192.92, N = 3SE +/- 9488.88, N = 3SE +/- 46067.71, N = 3SE +/- 24969.38, N = 3SE +/- 45342.43, N = 3SE +/- 7610.57, N = 3SE +/- 12610.07, N = 3SE +/- 59345.60, N = 391954031008741890715289268070114048381151956788052878912018919615411191962118513261. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

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 CompileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X510152025SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 320.2118.0420.6720.9217.2917.1921.2022.7321.4819.2817.98

PyBench

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X2004006008001000SE +/- 11.59, N = 3SE +/- 3.48, N = 3SE +/- 14.81, N = 3SE +/- 6.36, N = 3SE +/- 4.04, N = 3SE +/- 5.81, N = 3SE +/- 1.86, N = 3SE +/- 1.67, N = 3SE +/- 1.15, N = 3SE +/- 4.51, N = 3876773866888730718871888820739728

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 FastRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1122334455SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 345.9235.2536.8736.0841.7048.9930.1322.8420.8526.2234.771. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.72451.4492.17352.8983.62253.032.283.223.201.531.543.123.132.641.551.53

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 SynthesisRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.30150.6030.90451.2061.5075SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 15SE +/- 0.008, N = 4SE +/- 0.012, N = 6SE +/- 0.011, N = 15SE +/- 0.006, N = 3SE +/- 0.016, N = 3SE +/- 0.006, N = 30.6970.7810.8050.8420.6840.6271.0071.3401.2951.0190.786MIN: 0.57 / MAX: 1.33MIN: 0.71 / MAX: 1.21MIN: 0.69 / MAX: 1.14MIN: 0.73 / MAX: 1.13MIN: 0.56 / MAX: 0.94MIN: 0.5 / MAX: 1.04MIN: 0.88 / MAX: 1.38MIN: 1.16 / MAX: 1.86MIN: 1.2 / MAX: 1.71MIN: 0.95 / MAX: 1.37MIN: 0.71 / MAX: 1.14

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 SolverRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 310.8218.3413.2913.6012.1710.2722.2927.1628.4921.2817.101. (CXX) g++ options: -O2 -lOpenCL

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 2020-06-28Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X510152025SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 317.2421.0617.4118.5215.6115.3717.3418.2622.3715.8815.241. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 v2Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X60120180240300SE +/- 0.44, N = 3SE +/- 1.24, N = 3SE +/- 0.84, N = 3SE +/- 0.28, N = 3SE +/- 1.79, N = 3SE +/- 1.61, N = 3SE +/- 2.89, N = 3SE +/- 0.19, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.90, N = 3258.83282.65255.51256.34227.29228.34246.79257.80294.97227.66221.12MIN: 245.84 / MAX: 277.3MIN: 278.48 / MAX: 286.84MIN: 242.62 / MAX: 276.95MIN: 249.57 / MAX: 278.25MIN: 221.13 / MAX: 240.21MIN: 221.95 / MAX: 262.93MIN: 240.1 / MAX: 270.64MIN: 253.88 / MAX: 275.98MIN: 294.25 / MAX: 296.33MIN: 226.8 / MAX: 237.29MIN: 218.37 / MAX: 231.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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: H2Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X7001400210028003500SE +/- 36.35, N = 4SE +/- 51.94, N = 20SE +/- 39.66, N = 4SE +/- 29.79, N = 4SE +/- 12.57, N = 4SE +/- 25.42, N = 20SE +/- 37.27, N = 4SE +/- 43.74, N = 20SE +/- 29.31, N = 4SE +/- 31.96, N = 432552747305031302656271229083090277825192592

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 TimesRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X510152025SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.26, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 318.3316.0518.2718.2015.9715.7417.7718.6617.3516.2715.771. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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-PassRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.76051.5212.28153.0423.8025SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.722.922.712.683.363.382.712.562.613.203.361. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1.14752.2953.44254.595.7375SE +/- 0.03, N = 3SE +/- 0.05, N = 9SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 34.35.04.24.24.04.04.24.25.14.04.01. chrome 86.0.4240.75

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1.23752.4753.71254.956.1875SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 4SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 34.55.54.44.44.34.44.34.45.44.34.21. firefox 81.0

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X100200300400500SE +/- 0.71, N = 3SE +/- 3.03, N = 3SE +/- 2.91, N = 3SE +/- 5.47, N = 3SE +/- 4.99, N = 3SE +/- 4.25, N = 3SE +/- 1.95, N = 3SE +/- 1.70, N = 3SE +/- 0.19, N = 3SE +/- 0.37, N = 3SE +/- 2.81, N = 3362.2419.1360.7369.6291.4297.7347.7367.7450.8306.9292.41. firefox 81.0

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.018, N = 3SE +/- 0.014, N = 3SE +/- 0.031, N = 3SE +/- 0.019, N = 3SE +/- 0.007, N = 3SE +/- 0.026, N = 3SE +/- 0.011, N = 3SE +/- 0.007, N = 3SE +/- 0.093, N = 15SE +/- 0.023, N = 3SE +/- 0.011, N = 312.25010.44211.87611.9169.91510.31411.23911.59011.2039.5939.291

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 DynamicsRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X48121620SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 315.5716.4015.6416.1312.8412.8215.3816.1517.1313.1412.78

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, LosslessRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X48121620SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 315.6415.0814.8615.2612.6312.7615.0415.6215.4513.2612.861. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 312.2414.2313.2313.4811.0210.3614.9718.0519.6815.1712.871. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

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 RealtimeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1224364860SE +/- 0.21, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.49, N = 3SE +/- 0.59, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.13, N = 338.9049.0438.3238.0353.1952.9438.5938.2045.8151.5353.601. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X80160240320400SE +/- 1.69, N = 3SE +/- 2.33, N = 3SE +/- 2.39, N = 3SE +/- 4.54, N = 3SE +/- 1.47, N = 3SE +/- 0.81, N = 3SE +/- 1.54, N = 3SE +/- 1.93, N = 3SE +/- 0.44, N = 3SE +/- 0.08, N = 3SE +/- 0.28, N = 3280.03340.68270.84280.25253.65254.15270.45285.66368.44260.76250.931. chrome 86.0.4240.75

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: TradesoapRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X9001800270036004500SE +/- 22.93, N = 4SE +/- 28.48, N = 4SE +/- 43.45, N = 4SE +/- 18.51, N = 4SE +/- 20.13, N = 4SE +/- 36.22, N = 4SE +/- 23.88, N = 3SE +/- 25.86, N = 3SE +/- 45.31, N = 4SE +/- 20.42, N = 434602884334833892836292536634395397735312962

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.026, N = 5SE +/- 0.014, N = 5SE +/- 0.034, N = 5SE +/- 0.039, N = 5SE +/- 0.033, N = 5SE +/- 0.038, N = 5SE +/- 0.028, N = 5SE +/- 0.016, N = 5SE +/- 0.017, N = 5SE +/- 0.002, N = 5SE +/- 0.004, N = 57.4557.1737.5387.5796.4406.3737.3407.6957.5876.5986.3381. (CXX) g++ options: -O2 -fvisibility=hidden -logg -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 8 - Input: 1080pRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1122334455SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 343.3338.2336.5935.9543.1548.7128.0018.5121.3822.6032.981. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X510152025SE +/- 0.008, N = 3SE +/- 0.002, N = 3SE +/- 0.014, N = 3SE +/- 0.012, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.015, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.010, N = 36.70410.3539.0689.2457.2065.65512.99918.01218.75913.43610.2721. (CC) gcc options: -static -fopenmp -O3 -march=native

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.069, N = 3SE +/- 0.022, N = 3SE +/- 0.076, N = 3SE +/- 0.004, N = 3SE +/- 0.036, N = 3SE +/- 0.033, N = 3SE +/- 0.026, N = 3SE +/- 0.015, N = 3SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.031, N = 311.26510.40411.11611.1459.3209.43110.81111.13010.8189.2248.959

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 5.2.0Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.045, N = 5SE +/- 0.012, N = 5SE +/- 0.045, N = 5SE +/- 0.031, N = 5SE +/- 0.045, N = 5SE +/- 0.034, N = 5SE +/- 0.057, N = 5SE +/- 0.020, N = 5SE +/- 0.031, N = 5SE +/- 0.031, N = 5SE +/- 0.024, N = 56.4695.8976.5956.7555.1935.1806.4846.5736.1905.2065.093

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 FastRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X20406080100SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.33, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.19, N = 382.2469.9063.2662.5069.6386.9460.1048.1443.8255.5669.341. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X48121620SE +/- 0.041, N = 3SE +/- 0.019, N = 3SE +/- 0.109, N = 3SE +/- 0.090, N = 3SE +/- 0.051, N = 3SE +/- 0.024, N = 3SE +/- 0.050, N = 3SE +/- 0.092, N = 3SE +/- 0.134, N = 3SE +/- 0.038, N = 3SE +/- 0.023, N = 37.2768.0998.1878.6137.4956.7649.62513.98214.12912.3089.051

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.053, N = 3SE +/- 0.050, N = 3SE +/- 0.053, N = 3SE +/- 0.030, N = 3SE +/- 0.064, N = 3SE +/- 0.085, N = 3SE +/- 0.088, N = 3SE +/- 0.080, N = 3SE +/- 0.124, N = 3SE +/- 0.037, N = 3SE +/- 0.048, N = 157.2896.8047.3817.4916.3446.2987.6738.2367.9266.8276.301

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 RNARyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.041, N = 3SE +/- 0.081, N = 3SE +/- 0.048, N = 3SE +/- 0.017, N = 3SE +/- 0.029, N = 3SE +/- 0.044, N = 3SE +/- 0.029, N = 3SE +/- 0.050, N = 3SE +/- 0.020, N = 3SE +/- 0.063, N = 3SE +/- 0.052, N = 38.5918.7028.9738.9077.3657.35011.01811.4248.7508.5158.5081. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Smallpt

Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X48121620SE +/- 0.003, N = 3SE +/- 0.013, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.019, N = 3SE +/- 0.022, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.057, N = 3SE +/- 0.017, N = 3SE +/- 0.004, N = 35.2007.9056.9447.0926.1604.9379.84713.51714.20411.6068.8451. (CXX) g++ options: -fopenmp -O3

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.00557, N = 3SE +/- 0.01244, N = 3SE +/- 0.01628, N = 3SE +/- 0.01161, N = 3SE +/- 0.01483, N = 3SE +/- 0.00440, N = 3SE +/- 0.02615, N = 3SE +/- 0.02071, N = 3SE +/- 0.00733, N = 3SE +/- 0.01067, N = 3SE +/- 0.01169, N = 35.614407.007287.249607.421955.956644.966149.8793013.5114012.2322010.250307.65881-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.00924, N = 3SE +/- 0.01251, N = 3SE +/- 0.08565, N = 14SE +/- 0.00415, N = 3SE +/- 0.01327, N = 3SE +/- 0.00273, N = 3SE +/- 0.01889, N = 3SE +/- 0.02845, N = 3SE +/- 0.01150, N = 3SE +/- 0.00390, N = 3SE +/- 0.00400, N = 34.384735.146035.793385.809234.683103.788277.5834310.437808.899847.464495.69163-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X714212835SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 326.926.826.226.724.124.125.427.029.024.423.91. firefox 81.0

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.083, N = 3SE +/- 0.094, N = 3SE +/- 0.092, N = 3SE +/- 0.049, N = 3SE +/- 0.098, N = 3SE +/- 0.062, N = 3SE +/- 0.041, N = 3SE +/- 0.080, N = 3SE +/- 0.089, N = 3SE +/- 0.045, N = 3SE +/- 0.091, N = 48.0747.4617.9438.0576.7476.8427.7578.0267.6816.7526.589

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: MediumRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.276.807.047.076.015.607.989.609.458.096.871. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X714212835SE +/- 0.20, N = 3SE +/- 0.42, N = 3SE +/- 0.36, N = 4SE +/- 0.06, N = 3SE +/- 0.34, N = 3SE +/- 0.33, N = 3SE +/- 0.24, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 327.3227.7527.0928.5024.2424.5726.4627.9029.4224.6324.021. chrome 86.0.4240.75

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 CompressionRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.087, N = 5SE +/- 0.015, N = 3SE +/- 0.056, N = 3SE +/- 0.067, N = 3SE +/- 0.033, N = 3SE +/- 0.019, N = 3SE +/- 0.078, N = 3SE +/- 0.025, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.013, N = 36.7486.0246.5556.8045.3405.3346.5676.9166.3875.4545.2941. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.054, N = 3SE +/- 0.004, N = 3SE +/- 0.097, N = 3SE +/- 0.110, N = 3SE +/- 0.027, N = 3SE +/- 0.014, N = 3SE +/- 0.076, N = 3SE +/- 0.031, N = 3SE +/- 0.017, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 36.8946.9666.9647.0815.6215.5626.6587.0677.3975.7375.4991. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

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 0Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X246810SE +/- 0.003, N = 3SE +/- 0.033, N = 3SE +/- 0.081, N = 3SE +/- 0.105, N = 3SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.025, N = 3SE +/- 0.015, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 36.3656.3716.7606.7155.4265.2526.7977.6207.5956.1415.6441. (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: JythonRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X9001800270036004500SE +/- 15.68, N = 4SE +/- 25.71, N = 4SE +/- 23.65, N = 4SE +/- 11.74, N = 4SE +/- 20.69, N = 4SE +/- 27.26, N = 4SE +/- 27.52, N = 4SE +/- 17.11, N = 4SE +/- 26.51, N = 4SE +/- 33.87, N = 4SE +/- 12.56, N = 439463319396339903068306639654215367633133165

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X60120180240300SE +/- 3.33, N = 4SE +/- 0.36, N = 3SE +/- 0.03, N = 3SE +/- 0.79, N = 3SE +/- 0.76, N = 3SE +/- 0.44, N = 3SE +/- 2.30, N = 3SE +/- 0.23, N = 3SE +/- 0.15, N = 3SE +/- 0.53, N = 3SE +/- 0.40, N = 3225.71237.26221.00229.31281.15281.53232.69221.22223.57276.46287.73-lm-lm-lm1. (CC) gcc options: -O3 -rdynamic

x264

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X4080120160200SE +/- 1.78, N = 3SE +/- 1.27, N = 3SE +/- 2.00, N = 4SE +/- 1.56, N = 3SE +/- 2.62, N = 3SE +/- 2.09, N = 6SE +/- 0.83, N = 3SE +/- 1.15, N = 3SE +/- 0.59, N = 3SE +/- 1.17, N = 4SE +/- 0.95, N = 3162.49126.19139.09136.32158.81172.7598.3277.1975.1493.58112.901. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

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: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X714212835SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 327.318.325.124.728.330.321.918.914.422.025.8

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 FastRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X306090120150SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3SE +/- 0.42, N = 3SE +/- 0.43, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.35, N = 3145.91129.64119.07117.56130.30155.81112.9085.5779.1099.92129.301. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1.26882.53763.80645.07526.344SE +/- 0.013, N = 3SE +/- 0.048, N = 3SE +/- 0.032, N = 3SE +/- 0.023, N = 3SE +/- 0.053, N = 3SE +/- 0.032, N = 3SE +/- 0.034, N = 3SE +/- 0.012, N = 3SE +/- 0.011, N = 3SE +/- 0.015, N = 3SE +/- 0.043, N = 35.4995.3115.4565.5504.5934.6415.2385.5285.6394.6364.488

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 ProteinRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.251, N = 15SE +/- 0.035, N = 3SE +/- 0.144, N = 3SE +/- 0.087, N = 3SE +/- 0.117, N = 3SE +/- 0.065, N = 3SE +/- 0.073, N = 3SE +/- 0.012, N = 3SE +/- 0.018, N = 3SE +/- 0.083, N = 3SE +/- 0.159, N = 1511.5418.7019.4879.26210.71913.0916.8805.2665.2936.0527.1151. (CXX) g++ options: -O3 -pthread -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: 8Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1.22272.44543.66814.89086.1135SE +/- 0.054, N = 3SE +/- 0.013, N = 3SE +/- 0.008, N = 3SE +/- 0.026, N = 3SE +/- 0.012, N = 3SE +/- 0.024, N = 3SE +/- 0.017, N = 3SE +/- 0.006, N = 3SE +/- 0.014, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 34.4534.5384.5864.6164.2644.2584.7335.3225.4344.8644.4741. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1.1482.2963.4444.5925.74SE +/- 0.023, N = 3SE +/- 0.018, N = 3SE +/- 0.060, N = 3SE +/- 0.020, N = 3SE +/- 0.015, N = 3SE +/- 0.019, N = 3SE +/- 0.027, N = 3SE +/- 0.008, N = 3SE +/- 0.014, N = 3SE +/- 0.011, N = 3SE +/- 0.010, N = 34.3054.3794.3364.3954.1384.1334.4564.9705.1024.5744.2281. (CXX) g++ options: -O3 -fPIC

CloverLeaf

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

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X1.2692.5383.8075.0766.345SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.865.643.993.893.733.855.064.904.044.514.701. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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: PSNR/SSIM Optimized - Input: Bosphorus 1080pRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X50100150200250SE +/- 0.25, N = 3SE +/- 2.55, N = 5SE +/- 3.32, N = 3SE +/- 3.37, N = 3SE +/- 3.76, N = 3SE +/- 2.17, N = 10SE +/- 1.38, N = 3SE +/- 1.35, N = 3SE +/- 1.83, N = 3SE +/- 2.49, N = 3SE +/- 2.69, N = 3217.13210.08198.20202.63226.26234.14149.99134.25154.53153.90169.801. (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 1080pRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X50100150200250SE +/- 0.53, N = 3SE +/- 0.17, N = 3SE +/- 0.41, N = 3SE +/- 0.46, N = 3SE +/- 0.23, N = 3SE +/- 0.45, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.55, N = 3SE +/- 0.46, N = 3200.83186.01180.29180.89206.64220.35119.86109.32122.76126.80134.961. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 RoutineRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X8K16K24K32K40KSE +/- 34.63, N = 3SE +/- 25.33, N = 3SE +/- 98.83, N = 3SE +/- 29.89, N = 3SE +/- 18.60, N = 3SE +/- 39.63, N = 3SE +/- 29.41, N = 3SE +/- 18.52, N = 3SE +/- 77.79, N = 3SE +/- 32.74, N = 3SE +/- 41.74, N = 338565.5325630.0135670.0136851.9037925.6236137.4937466.4834238.2334083.3736604.3635513.871. (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: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X3691215SE +/- 0.00337, N = 3SE +/- 0.00812, N = 3SE +/- 0.01077, N = 3SE +/- 0.00218, N = 3SE +/- 0.01329, N = 3SE +/- 0.00365, N = 3SE +/- 0.02969, N = 3SE +/- 0.11188, N = 3SE +/- 0.10039, N = 3SE +/- 0.01096, N = 3SE +/- 0.01773, N = 34.297134.787665.253665.084604.716703.715876.865579.023368.719107.603245.49973MIN: 4.2MIN: 4.68MIN: 5.14MIN: 5.02MIN: 4.35MIN: 3.65MIN: 6.67MIN: 8.56MIN: 8.56MIN: 7.37MIN: 5.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X400K800K1200K1600K2000KSE +/- 4368.74, N = 5SE +/- 2615.51, N = 5SE +/- 9606.45, N = 18SE +/- 3070.42, N = 5SE +/- 2205.85, N = 5SE +/- 21208.90, N = 5SE +/- 11294.71, N = 5SE +/- 2742.19, N = 5SE +/- 2392.41, N = 5SE +/- 2451.81, N = 5SE +/- 3532.74, N = 5140725315727701385206137697219600741970776140183213278381482195190055719898301. (CC) gcc options: -O3 -march=native

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 100Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.49250.9851.47751.972.4625SE +/- 0.029, N = 3SE +/- 0.008, N = 3SE +/- 0.015, N = 3SE +/- 0.023, N = 3SE +/- 0.009, N = 3SE +/- 0.015, N = 3SE +/- 0.016, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 32.1612.0092.0882.1751.7431.7292.0992.1892.1151.8211.7561. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X0.32270.64540.96811.29081.6135SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.011, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 31.3691.2941.3651.4141.1531.1451.3671.4341.3741.1771.1321. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X4080120160200SE +/- 2.00, N = 3SE +/- 4.79, N = 15SE +/- 0.67, N = 3175150177190148136156190178148152

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix FactorizationRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X30060090012001500SE +/- 11.92, N = 3SE +/- 11.39, N = 3SE +/- 11.76, N = 3SE +/- 6.22, N = 3SE +/- 2.29, N = 3SE +/- 3.97, N = 3SE +/- 26.41, N = 3SE +/- 7.05, N = 3SE +/- 0.29, N = 3SE +/- 3.19, N = 3SE +/- 3.69, N = 31022.731176.071019.651000.221485.051501.031010.571003.691084.831476.821520.851. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier TransformRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X110220330440550SE +/- 4.86, N = 3SE +/- 1.18, N = 3SE +/- 6.33, N = 3SE +/- 16.54, N = 3SE +/- 1.54, N = 3SE +/- 3.07, N = 3SE +/- 2.43, N = 3SE +/- 6.73, N = 3SE +/- 2.26, N = 3SE +/- 4.76, N = 3SE +/- 13.92, N = 3374.19390.00371.29310.86495.79521.05262.48306.45265.78338.34471.051. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte CarloRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 5800X4080120160200SE +/- 0.92, N = 3SE +/- 1.85, N = 3SE +/- 2.11, N = 3SE +/- 2.65, N = 3SE +/- 0.67, N = 3SE +/- 0.65, N = 3SE +/- 0.69, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 3.26, N = 3SE +/- 0.52, N = 3165.36179.16163.05159.96189.65192.12168.24159.39165.10185.18194.381. (CC) gcc options: -lm

229 Results Shown

Timed LLVM Compilation
Blender
PlaidML
BRL-CAD
Caffe
PlaidML
Appleseed
Monte Carlo Simulations of Ionised Nebulae
Selenium
Hierarchical INTegration
Numpy Benchmark
Rodinia
ASTC Encoder
GROMACS
Blender
WireGuard + Linux Networking Stack Stress Test
Radiance Benchmark
Rodinia
asmFish
Selenium
Numenta Anomaly Benchmark
Blender
Polyhedron Fortran Benchmarks
Appleseed
BYTE Unix Benchmark
Mobile Neural Network:
  inception-v3
  MobileNetV2_224
  resnet-v2-50
  SqueezeNetV1.0
PlaidML
Perl Benchmarks
Appleseed
YafaRay
dav1d
TensorFlow Lite
Fhourstones
TensorFlow Lite
Mlpack Benchmark
Caffe
OpenVINO
Selenium
Rodinia
Timed GDB GNU Debugger Compilation
Kvazaar
Perl Benchmarks
Kvazaar
ACES DGEMM
NAMD
OpenVKL
Tachyon
PyPerformance
Zstd Compression
libavif avifenc
OpenVINO
VP9 libvpx Encoding
Mobile Neural Network
Timed Linux Kernel Compilation
Stockfish
OpenVINO:
  Person Detection 0106 FP32 - CPU:
    FPS
    ms
  Face Detection 0106 FP16 - CPU:
    FPS
  Face Detection 0106 FP32 - CPU:
    FPS
PyPerformance
OpenVINO:
  Face Detection 0106 FP32 - CPU
  Face Detection 0106 FP16 - CPU
Chaos Group V-RAY
Montage Astronomical Image Mosaic Engine
Timed MrBayes Analysis
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
TensorFlow Lite:
  NASNet Mobile
  SqueezeNet
  Mobilenet Float
  Mobilenet Quant
OpenVINO
NCNN:
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - resnet18
  CPU - googlenet
  CPU - efficientnet-b0
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
  CPU - squeezenet
OpenVINO
John The Ripper
OpenVINO
GraphicsMagick
OpenVINO
GraphicsMagick:
  Resizing
  Rotate
m-queens
oneDNN
Selenium
C-Ray
RawTherapee
Radiance Benchmark
GEGL
Timed PHP Compilation
SQLite Speedtest
Basis Universal
NCNN:
  CPU - alexnet
  CPU - vgg16
  CPU - blazeface
  CPU - mnasnet
  CPU - shufflenet-v2
Timed FFmpeg Compilation
LibreOffice
libavif avifenc
Embree:
  Pathtracer ISPC - Crown
  Pathtracer - Crown
Basis Universal
DeepSpeech
Selenium
Numenta Anomaly Benchmark
Embree
POV-Ray
Embree
x265
oneDNN
GEGL:
  Rotate 90 Degrees
  Antialias
Kvazaar
eSpeak-NG Speech Engine
WebP Image Encode
Timed MPlayer Compilation
7-Zip Compression
PyPerformance
John The Ripper
Aircrack-ng
Zstd Compression
oneDNN
PyPerformance
AOM AV1
oneDNN
C-Blosc
LibRaw
GEGL
TTSIOD 3D Renderer
ASTC Encoder
SciMark
Basis Universal
Selenium
Timed ImageMagick Compilation
Tungsten Renderer
Selenium
PyPerformance
AOM AV1
Kvazaar
Polyhedron Fortran Benchmarks
Kvazaar
Numenta Anomaly Benchmark
SVT-AV1
OCRMyPDF
Intel Open Image Denoise
Tungsten Renderer
Mlpack Benchmark
VP9 libvpx Encoding
Inkscape
TNN
Tesseract OCR
Botan:
  Blowfish
  Twofish
dav1d
Botan
OpenSSL
dav1d
Crafty
Timed Apache Compilation
PyBench
Kvazaar
Polyhedron Fortran Benchmarks
Sunflow Rendering System
Rodinia
RNNoise
TNN
DaCapo Benchmark
G'MIC
AOM AV1
Selenium:
  Maze Solver - Google Chrome
  Maze Solver - Firefox
  WASM collisionDetection - Firefox
GIMP
Dolfyn
WebP Image Encode
Nebular Empirical Analysis Tool
AOM AV1
Selenium
DaCapo Benchmark
FLAC Audio Encoding
SVT-AV1
N-Queens
GIMP
GNU Octave Benchmark
Kvazaar
Numenta Anomaly Benchmark
GIMP
Timed MAFFT Alignment
Smallpt
Tungsten Renderer:
  Volumetric Caustic
  Non-Exponential
Selenium
GEGL
ASTC Encoder
Selenium
WebP Image Encode
LAME MP3 Encoding
Basis Universal
DaCapo Benchmark
libjpeg-turbo tjbench
x264
NeatBench
Kvazaar
GEGL
LAMMPS Molecular Dynamics Simulator
libavif avifenc:
  8
  10
CloverLeaf
SVT-VP9:
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
FFTE
oneDNN
TSCP
WebP Image Encode:
  Quality 100
  Default
ctx_clock
SciMark:
  Dense LU Matrix Factorization
  Fast Fourier Transform
  Monte Carlo