Ryzen 9 5900X / Ryzen 9 5950X Linux Performance

AMD Ryzen 9 5900X initial Linux benchmarks by Michael Larabel for a future article preparation for 5 November launch day.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2011040-FI-AMDRYZEN976
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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 2600
October 31 2020
  16 Hours, 2 Minutes
Ryzen 5 2600X
October 30 2020
  15 Hours, 31 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 9 5900X
October 19 2020
  10 Hours, 19 Minutes
Ryzen 9 5950X
October 21 2020
  8 Hours, 23 Minutes
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  11 Hours, 42 Minutes

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Ryzen 9 5900X / Ryzen 9 5950X Linux PerformanceProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600KAMD 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)AMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads)AMD 17hAMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads)Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCHOpenBenchmarking.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- Ryzen 5 2600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Ryzen 5 2600: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Core i5 10600K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1Java 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- Ryzen 5 2600X: 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 2600: 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: disabled 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 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600KLogarithmic Result OverviewPhoronix Test SuiteACES DGEMMAircrack-ngIntel Open Image DenoiseJohn The RipperOpenVINOOpenVKLOpenSSLoneDNNTSCPBRL-CADN-QueensChaos Group V-RAYEmbreem-queensTTSIOD 3D RendererSVT-AV1asmFishTachyonYafaRayStockfishSmallptBlenderLuxCoreRenderTimed MPlayer CompilationLAMMPS Molecular Dynamics SimulatorKvazaarNAMDPOV-Rayx265C-RayTimed Linux Kernel CompilationTimed LLVM CompilationTimed FFmpeg Compilation7-Zip Compressionx264TensorFlow LiteAppleseedSunflow Rendering SystemTungsten RendererNeatBenchGROMACSSVT-VP9Timed ImageMagick CompilationGraphicsMagickNumenta Anomaly BenchmarkOCRMyPDFRodiniaASTC EncoderTimed PHP CompilationMobile Neural NetworkBasis UniversalSciMarkNebular Empirical Analysis ToolLibRawdav1dNCNNlibavif avifencAOM AV1PlaidMLZstd CompressionTimed GDB GNU Debugger CompilationWireGuard + Linux Networking Stack Stress TestPolyhedron Fortran BenchmarksDaCapo BenchmarkNumpy BenchmarkTimed Apache CompilationRadiance BenchmarkTimed MAFFT AlignmentSQLite SpeedtestVP9 libvpx EncodingInkscapelibjpeg-turbo tjbenchCraftyPyPerformanceTimed MrBayes AnalysisFhourstonesPerl BenchmarksMonte Carlo Simulations of Ionised NebulaeLibreOfficeHierarchical INTegrationMontage Astronomical Image Mosaic EngineRawTherapeePyBenchLAME MP3 EncodingGIMPeSpeak-NG Speech EngineGNU Octave BenchmarkC-BloscFLAC Audio EncodingWebP Image EncodeTesseract OCRCloverLeafFFTEDolfynctx_clockBYTE Unix BenchmarkSeleniumG'MICRNNoiseGEGLDeepSpeechBotanTNNMlpack Benchmark

Ryzen 9 5900X / Ryzen 9 5950X Linux Performancebuild-llvm: Time To Compileblender: Classroom - CPU-Onlyplaidml: No - Inference - ResNet 50 - CPUbrl-cad: VGR Performance Metricplaidml: No - Inference - Inception V3 - CPUcaffe: GoogleNet - CPU - 200appleseed: Emilymocassin: Dust 2D tau100.0selenium: Jetstream 2 - Firefoxrodinia: OpenMP LavaMDnumpy: gromacs: Water Benchmarkastcenc: Exhaustiveblender: Fishy Cat - CPU-Onlywireguard: radiance: Serialhint: FLOATasmfish: 1024 Hash Memory, 26 Depthnumenta-nab: Earthgecko Skylineblender: BMW27 - CPU-Onlyselenium: Jetstream 2 - Google Chromepolyhedron: proteinmnn: inception-v3mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0appleseed: Disney Materialyafaray: Total Time For Sample Sceneplaidml: No - Inference - Mobilenet - CPUappleseed: Material Testertachyon: Total Timemt-dgemm: Sustained Floating-Point Ratebyte: Dhrystone 2dav1d: Chimera 1080p 10-bitfhourstones: Complex Connect-4 Solvingperl-benchmark: Pod2htmltensorflow-lite: Inception V4mlpack: scikit_qdatensorflow-lite: Inception ResNet V2caffe: AlexNet - CPU - 200kvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumselenium: StyleBench - Google Chromerodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocytebuild-gdb: Time To Compilenamd: ATPase Simulation - 327,506 Atomsopenvkl: vklBenchmarkperl-benchmark: Interpreteravifenc: 0compress-zstd: 19vpxenc: Speed 0build-linux-kernel: Time To Compilepyperformance: python_startuppyperformance: raytracestockfish: Total Timemontage: Mosaic of M17, K band, 1.5 deg x 1.5 degmrbayes: Primate Phylogeny Analysisopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - 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: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUv-ray: CPUm-queens: Time To Solveluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismtensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floattensorflow-lite: SqueezeNetselenium: Speedometer - Google Chromeopenvino: Age Gender Recognition Retail 0013 FP16 - CPUjohn-the-ripper: MD5openvino: Age Gender Recognition Retail 0013 FP32 - CPUgraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Rotatec-ray: Total Time - 4K, 16 Rays Per Pixelradiance: SMP Parallelrawtherapee: Total Benchmark Timeonednn: IP Batch All - f32 - CPUbuild-php: Time To Compilebasis: UASTC Level 3sqlite-speedtest: Timed Time - Size 1,000gegl: Color Enhanceembree: Pathtracer ISPC - Crownbuild-ffmpeg: Time To Compileembree: Pathtracer - Crownavifenc: 2libreoffice: 20 Documents To PDFembree: Pathtracer - Asian Dragonbasis: ETC1Sdeepspeech: CPUembree: Pathtracer ISPC - Asian Dragonselenium: ARES-6 - Google Chromenumenta-nab: Bayesian Changepointpovray: Trace Timex265: Bosphorus 4Kkvazaar: Bosphorus 4K - Very Fastonednn: Recurrent Neural Network Training - f32 - CPUgegl: Rotate 90 Degreesgegl: Antialiasespeak: Text-To-Speech Synthesisbuild-mplayer: Time To Compileonednn: Deconvolution Batch deconv_1d - f32 - CPUwebp: Quality 100, Lossless, Highest Compressioncompress-7zip: Compress Speed Testaom-av1: Speed 6 Realtimelibraw: Post-Processing Benchmarkpyperformance: regex_compilejohn-the-ripper: Blowfishaircrack-ng: oidn: Memorialcompress-zstd: 3ttsiod-renderer: Phong Rendering With Soft-Shadow Mappingbasis: UASTC Level 2pyperformance: nbodyastcenc: Thoroughbuild-imagemagick: Time To Compileblosc: blosclzgegl: Reflectkvazaar: Bosphorus 1080p - Slowonednn: IP Batch 1D - f32 - CPUkvazaar: Bosphorus 1080p - Mediumtungsten: Water Causticpyperformance: pathlibaom-av1: Speed 6 Two-Passselenium: Kraken - Google Chromepolyhedron: airscimark2: Compositeselenium: Kraken - Firefoxsvt-av1: Enc Mode 4 - 1080pnumenta-nab: Relative Entropyocrmypdf: Processing 60 Page PDF Documenttungsten: Hairvpxenc: Speed 5crafty: Elapsed Timeinkscape: SVG Files To PNGdav1d: Summer Nature 4Kdav1d: Chimera 1080pmlpack: scikit_svmtesseract-ocr: Time To OCR 7 Imageskvazaar: Bosphorus 4K - Ultra Fastbuild-apache: Time To Compiletnn: CPU - SqueezeNet v1.1polyhedron: linpkpybench: Total For Average Test Timesbotan: Blowfishbotan: Twofishbotan: CAST-256openssl: RSA 4096-bit Performancerodinia: OpenMP CFD Solverdacapobench: H2sunflow: Global Illumination + Image Synthesisaom-av1: Speed 4 Two-Passrnnoise: tnn: CPU - MobileNet v2gmic: Plotting Isosurface Of A 3D Volume, 1000 Timesselenium: Maze Solver - Google Chromeselenium: WASM collisionDetection - Firefoxselenium: Maze Solver - Firefoxdolfyn: Computational Fluid Dynamicsgimp: auto-levelsaom-av1: Speed 8 Realtimewebp: Quality 100, Losslessneat: dacapobench: Tradesoapselenium: WASM collisionDetection - Google Chromesvt-av1: Enc Mode 8 - 1080pencode-flac: WAV To FLACn-queens: Elapsed Timekvazaar: Bosphorus 1080p - Very Fastgimp: rotateoctave-benchmark: numenta-nab: Windowed Gaussiansmallpt: Global Illumination Renderer; 128 Samplesmafft: Multiple Sequence Alignment - LSU RNAtungsten: Volumetric Caustictungsten: Non-Exponentialselenium: WASM imageConvolute - Firefoxastcenc: Mediumgegl: Cropgimp: resizewebp: Quality 100, Highest Compressionbasis: UASTC Level 0dacapobench: Jythonselenium: WASM imageConvolute - Google Chromeencode-mp3: WAV To MP3x264: H.264 Video Encodingneatbench: CPUtjbench: Decompression Throughputkvazaar: Bosphorus 1080p - Ultra Fastlammps: Rhodopsin Proteingegl: Scaleavifenc: 8svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pavifenc: 10svt-vp9: Visual Quality Optimized - Bosphorus 1080pcloverleaf: Lagrangian-Eulerian Hydrodynamicsffte: N=256, 3D Complex FFT Routineonednn: Deconvolution Batch deconv_3d - f32 - CPUwebp: Quality 100tscp: AI Chess Performancewebp: 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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K364.327230.947.2224807711.15265131208.357892199105.020120.533422.171.236105.63107.97195.779522.735406108737.675525292948477.85281.77152.15112.0336.9845.71642.1298.162119.85719779.69716.85125.26033146.37235.47673344123395.7113.7515875.80.11059513143240369.64128840710561710.2610.4036.479.92577.77790.5471.14997236.580.0007686259.39939.57.8347.3588.104175240736769.70270.2432.432.4329.0829.9117.9119.247.105.155.8217.1215.973.253.272841633.8403.293.6411719968497.966530.3100527141.812280.85186800012650.24407182979931.326169.17352.39147.472242.37331.64855.07254.08919.874633.46721.044035.6756.41221.869242.25563.2306421.663518.5125.65623.51023.0925.17207.12137.23236.63626.67720.7752.4760632.3019007119.4744.571532809658788.47012.894059.1829.78618.30410213.5520.57611474.929.18136.264.0392637.1621.226315.64.18700.51.59751.35731.05.32014.73018.73113.538325.37919540323.917201.96619.2119.1322.74045.9220.214240.3353.03876501.990400.119157.1204743.410.81932550.6972.7217.238258.82718.3334.3362.24.515.56812.25038.9015.63812.2423460280.031843.3307.4556.70482.2411.2656.4697.2765.2008.5915.614404.3847326.96.278.0747.2896.7486.365394627.3246.894162.4927.3225.709372145.9111.5415.4994.453217.134.305200.833.8638565.5313155464.297132.16114072531.3691751022.73374.19165.36506.573352.167.381838109.21196074299.905069166113.690170.152451.530.977170.21162.99176.739588.161511718743.402794039245993.113114.70163.67811.6429.4272.82325.3104.331178.124035109.47417.06166.40925865.98355.30324052005432.9131.9417624.80.09765781237293062.642139593753136.806.9635.283.89182.98287.4291.23607192.750.0007022871.85930.38.0863.9466.743533572681366.37163.6301.931.9325.0024.2813.5613.285.894.005.0616.4114.043.343.291976559.6062.212.461476941176191142301675951389817.0813313339817.40269126494552.127183.25253.66757.167547.79346.53846.56449.23117.704144.86915.424742.7726.28917.630743.30178.0174320.429915.8233.14033.73118.8119.57214.08832.35531.72925.30229.0382.9625331.1206477225.6741.501342359145909.65411.102922.3706.15325.17793.021.3124.73810815.825.45028.393.2856229.3623.582214.34.65754.91.99829.30709.44.32016.99019.83720.070330.341008741819.857183.54785.8720.3619.17435.2518.040261.5642.28773556.852446.453176.0743712.318.34327470.7812.9221.061282.64516.0475.0419.15.516.39810.44249.0415.08414.2342884340.681838.2337.17310.35369.9010.4045.8978.0997.9058.7027.007285.1460326.86.807.4616.8046.0246.371331927.75276.966126.1918.3237.256549129.648.7015.3114.538210.084.379186.015.6425630.0050489644.787662.00915727701.2941501176.07390.00179.16432.302303.727.0318852210.61258972259.329077205107.146159.413425.551.136140.27141.23194.851526.457385672695.950564008230983.189106.80152.93112.1232.4844.02233.4687.235156.530111100.55316.38155.82342260.11914.23653444714220.6110.9015572.80.11338212196194068.1617610101058037.567.7136.379.75686.78694.0331.49526182.970.0007536467.30338.97.8056.7768.014133891539568.88869.9411.971.9928.6827.6616.4817.316.624.755.3916.5016.392.622.612151745.8202.502.7313901494517.092214.2135602142.48760.8414136678748.79301141572642.030170.08353.50956.227446.27140.66656.77353.68815.287339.51816.092640.4276.35516.990043.54965.5784216.832318.3826.85530.58019.6521.16220.21537.19135.98826.71125.0633.1530432.5797755019.6443.591532072943919.30710.464483.5684.39022.63110117.8122.76611473.929.06927.664.8138028.5623.826915.44.18705.81.57743.57714.94.49316.02620.55517.379525.64907152823.776197.64585.4718.9023.00336.8720.674236.4473.22866488.014393.717159.8343551.013.29430500.8052.7117.406255.50518.2704.2360.74.415.63611.87638.3214.85513.2263348270.843236.5927.5389.06863.2611.1166.5958.1876.9448.9737.249605.7933826.27.047.9437.3816.5556.760396327.08806.964139.0925.1221.002970119.079.4875.4564.586198.204.336180.293.9935670.0087247235.253662.08813852061.3651771019.65371.29163.05446.179317.037.1418374410.59262738267.066755211105.141164.705409.491.133145.09146.60196.117546.888401445819.032193883687386.301111.61151.42312.2331.5473.98833.0747.234161.513865103.71316.40160.12771273.97024.16796544081890.7110.5915451.00.11095995199907067.7917950131073567.377.5136.281.10488.58994.9251.54488177.750.0007499968.18438.77.7357.9078.124283812431171.62172.7442.102.0728.9027.8216.7017.386.614.755.4016.4915.952.782.782091046.7402.402.6414036896280.293903.6138101140.29097.7413666679125.69298143276642.894171.79354.34151.423846.78541.27455.78454.67214.959440.48215.659041.1106.50616.843044.34965.3716216.525518.5628.13431.53419.3720.64232.65737.45936.78226.80725.7673.2643732.0127690919.8243.191582024442773.97411.044499.8670.09422.87810318.3923.22111595.229.46527.343.8003128.1324.110215.84.16715.31.6717.42745.94.41116.25821.02717.933125.83926807024.213197.62586.7818.7923.06636.0820.919235.5183.2888492.735403.651162.6473489.813.59731300.8422.6818.522256.33918.1964.2369.64.416.12811.91638.0315.25813.4773389280.247735.9477.5799.24562.5011.1456.7558.6137.0928.9077.421955.8092326.77.078.0577.4916.8046.715399028.49927.081136.3224.7229.313087117.569.2625.5504.616202.634.395180.893.8936851.90158284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4.254.970109.324.9034238.2310866609.023362.18913278381.4341901003.69306.45159.391024.461695.985.98753026.82269113539.89491725389.869330.161318.910.504306.32334.41264.865737.376344830613.4016018868750193.624230.28125.79714.5166.4576.12952.97410.647317.66645212.24213.23289.144262148.74610.98060140472566.086.4813100.00.14829577381864072.4734468371083443.193.2729.099.307141.018137.7993.1610475.140.00088459124.21022.15.89130.2328.715821814593088.00787.2690.630.6239.3443.7718.4021.2110.637.108.0529.3825.380.950.95949993.9881.221.26222099188045175332258726106.02742.774430082728.1413163865786.816233.40468.606132.88284.47084.72569.10760.6866.512483.9747.028374.5057.8797.996557.80669.063527.585623.2944.80767.3299.108.90658.70040.67539.74630.82857.54711.884538.0303352614.8428.681891021510871.1993.123309.9305.10443.92714238.3945.1339986.431.52413.029.6100513.3934.883219.92.98878.41.7528.11856.81.91630.37536.48536.956819.30722127928.492105.81335.7420.1526.82016.1728.527260.6594.341062455.947370.256148.8561288.730.49935591.5911.8520.035282.94321.7644.6438.55.018.02913.45329.8118.76020.8825978334.703314.7389.12419.42634.6312.8387.52015.75315.45912.58615.222511.298430.86.448.7379.6687.7538.954523232.34588.21362.2011.5176.66064761.814.5766.2006.15399.995.82081.384.5432899.68780064617.58582.44211254681.615180431.56201.06140.761114.219765.165.66685166.35293683590.15968327981.604362.263299.090.469337.70366.41281.740788.876322438360.1710117002246209.268254.58114.18415.6171.5696.60658.15411.525342.043083231.83212.57315.828228153.10030.93370337514301.880.0911869.60.15978746423837775.3438346771174702.912.9726.28104.312154.758157.4083.4520967.420.00100830135.73821.65.43142.56110.36271623851994.12097.1320.570.5742.5147.0419.6623.0911.717.658.8431.6826.900.850.858728104.7961.101.1424809220920419579328875597.952518.634025722515.4511960062395.463243.89474.654145.40091.41493.85973.92865.3115.981291.6756.408881.8828.5427.399362.72976.088077.115925.1949.37174.1508.308.11722.39544.12243.24833.37662.74412.686740.3043142913.5826.2820491139919.7942.683204.6285.88948.56015642.1748.6539570.934.08711.8110.444812.1337.561521.32.74953.11.82494.99940.01.75233.50540.08140.590217.34671840331.69999.86316.1121.8229.14414.7431.456278.6184.41159420.788343.934137.6931157.031.78440611.8061.7021.193300.33823.4155468.85.219.28214.81225.9920.22922.7526357360.747013.4219.74821.62631.3714.2207.92717.54817.03113.23916.836712.427133.27.099.62310.8648.2909.703562634.08238.81257.5810.8164.17185556.024.0356.7696.64392.996.25275.584.5331041.65173914918.99682.6214915201.728204404.71200.98131.78807.290631.266.481014987.88231683511.741596207106.603306.480413.800.842306.90288.99174.718611.639481073602.7039022294478152.563203.69153.24012.3538.4703.40132.4755.651305.766269198.11214.48282.580945120.63982.74089147964784.2102.7215846.10.10063976435082369.013938063895843.934.0436.8091.898131.403110.0302.08559114.360.00073281106.40937.27.88106.4296.933731965307970.28368.8341.281.2827.7929.2014.8914.926.834.415.3318.7916.172.112.1011261108.0631.261.402367042054042024812963541355506.567529985477.6515073986294.601192.5660.92864.944866.25680.07749.05452.5279.794670.3398.574463.8996.56810.072952.40864.0686212.337017.0544.93759.33912.5611.47344.92035.09534.12326.77247.8275.4596733.1554189721.7036.941401302225302.4546.873633.4417.52641.39998.738.0135.43310868.227.03516.124.3364716.6729.795315.24.17757.02741.22745.52.70724.80029.49835.678528.66919615420.864143.26550.5222.3820.34620.8521.479278.4082.64820523.673420.583165.6382038.228.48627781.2952.6122.370294.96617.3485.1450.85.417.13111.20345.8115.45219.6793977368.444221.3797.58718.75943.8210.8186.19014.12914.2048.75012.23228.8998429.09.457.6817.9266.3877.595367629.41777.39775.1414.4223.57064879.105.2935.6395.434154.535.102122.764.0434083.3686145708.719102.11514821951.3741781084.83265.78165.10OpenBenchmarking.org

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K2004006008001000SE +/- 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 +/- 3.63, N = 3SE +/- 3.27, N = 3SE +/- 0.78, N = 3364.33506.57432.30446.18402.44361.17586.16748.561024.461114.22807.29

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K160320480640800SE +/- 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 +/- 1.30, N = 3SE +/- 0.96, N = 3SE +/- 1.21, N = 3230.94352.16303.72317.03277.96226.15433.37596.32695.98765.16631.26

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.227.387.037.1411.0811.246.926.595.985.666.48

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K60K120K180K240K300K248077183810188522183744215925267071131827939297530268516101498-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

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.159.2110.6110.5912.4312.619.798.946.826.357.88

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K60K120K180K240K300KSE +/- 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 +/- 584.46, N = 3SE +/- 384.97, N = 3SE +/- 166.99, N = 32651311960742589722627382006762142392344402379082691132936832316831. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K130260390520650208.36299.91259.33267.07224.29192.18349.40470.18539.89590.16511.74

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K60120180240300SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 2.56, N = 51991662052111791802112332532792071. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K306090120150SE +/- 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 +/- 0.16, N = 3SE +/- 0.34, N = 3SE +/- 1.47, N = 4105.02113.69107.15105.14117.14117.72107.56105.7789.8781.60106.601. firefox 81.0

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K80160240320400SE +/- 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 +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.79, N = 3120.53170.15159.41164.71123.34103.62227.00309.61330.16362.26306.481. (CXX) g++ options: -O2 -lOpenCL

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K120240360480600SE +/- 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 +/- 0.51, N = 3SE +/- 0.13, N = 3SE +/- 0.84, N = 3422.17451.53425.55409.49550.69542.76432.12415.99318.91299.09413.80

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.29030.58060.87091.16121.4515SE +/- 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 +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.004, N = 31.2360.9771.1361.1331.2841.2900.8230.7330.5040.4690.8421. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K70140210280350SE +/- 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 +/- 0.02, N = 3SE +/- 0.22, N = 3SE +/- 0.10, N = 3105.63170.21140.27145.09121.94101.25199.87274.19306.32337.70306.901. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K80160240320400SE +/- 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 +/- 0.18, N = 3SE +/- 0.46, N = 3SE +/- 0.45, N = 3107.97162.99141.23146.60124.61102.26200.06271.38334.41366.41288.99

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K60120180240300SE +/- 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 +/- 0.24, N = 3SE +/- 0.93, N = 3SE +/- 1.09, N = 3195.78176.74194.85196.12155.88149.62183.72197.37264.87281.74174.72

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K2004006008001000522.74588.16526.46546.89430.24426.53529.70549.02737.38788.88611.64

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K110M220M330M440M550MSE +/- 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 +/- 776522.58, N = 3SE +/- 209117.75, N = 3SE +/- 345078.13, N = 3406108737.68511718743.40385672695.95401445819.03517301573.26535283139.78406360022.76390856008.08344830613.40322438360.17481073602.701. (CC) gcc options: -O3 -march=native -lm

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K13M26M39M52M65MSE +/- 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 +/- 225356.28, N = 3SE +/- 127286.07, N = 3SE +/- 67429.43, N = 35292948440392459400823093883687349348712599435192915807721747154188687501700224622294478

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K50100150200250SE +/- 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 +/- 2.62, N = 3SE +/- 0.82, N = 3SE +/- 2.07, N = 377.8593.1183.1986.3070.6167.90113.80150.81193.62209.27152.56

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K60120180240300SE +/- 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 +/- 0.48, N = 3SE +/- 0.71, N = 3SE +/- 0.24, N = 381.77114.70106.80111.6195.0278.28150.76205.38230.28254.58203.69

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K4080120160200SE +/- 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 +/- 0.44, N = 3SE +/- 0.33, N = 3SE +/- 1.02, N = 3152.15163.68152.93151.42188.92187.72155.62148.98125.80114.18153.241. chrome 86.0.4240.75

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K4812162012.0311.6412.1212.239.289.2211.5412.1414.5115.6112.35

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1632486480SE +/- 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 +/- 0.83, N = 3SE +/- 0.12, N = 336.9829.4332.4831.5526.8826.8032.4636.0266.4671.5738.47MIN: 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: 66.03 / MAX: 79.02MIN: 69.74 / MAX: 86.54MIN: 38.12 / MAX: 51.851. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.026, N = 3SE +/- 0.012, N = 3SE +/- 0.015, N = 35.7162.8234.0223.9883.0583.8493.3753.9606.1296.6063.401MIN: 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: 6.04 / MAX: 8.3MIN: 6.48 / MAX: 21.66MIN: 3.33 / MAX: 5.991. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1326395265SE +/- 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 +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.02, N = 342.1325.3133.4733.0727.0628.3829.5330.2652.9758.1532.48MIN: 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: 51.97 / MAX: 66.22MIN: 56.86 / MAX: 79.06MIN: 32.23 / MAX: 45.551. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.048, N = 3SE +/- 0.027, N = 3SE +/- 0.021, N = 38.1624.3317.2357.2346.1116.4486.0346.56210.64711.5255.651MIN: 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: 10.44 / MAX: 23.54MIN: 11.38 / MAX: 27.5MIN: 5.51 / MAX: 10.91. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K70140210280350119.86178.12156.53161.51142.65117.67214.51291.01317.67342.04305.77

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K50100150200250SE +/- 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 +/- 0.49, N = 3SE +/- 1.04, N = 3SE +/- 1.12, N = 379.70109.47100.55103.7180.3966.15133.84180.78212.24231.83198.111. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 316.8517.0616.3816.4023.2023.6415.6514.7613.2312.5714.48

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K70140210280350125.26166.41155.82160.13134.45111.39199.43265.42289.14315.83282.58

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K306090120150SE +/- 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 +/- 3.50, N = 12SE +/- 2.15, N = 3SE +/- 1.56, N = 446.3765.9860.1273.9752.3643.4687.94117.56148.75153.10120.641. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.012114, N = 4SE +/- 0.005947, N = 3SE +/- 0.010830, N = 35.4767335.3032404.2365344.1679657.4312499.0653963.0046232.2852110.9806010.9337032.7408911. (CC) gcc options: -O3 -march=native -fopenmp

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K12M24M36M48M60MSE +/- 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 +/- 314239.01, N = 3SE +/- 223179.51, N = 3SE +/- 24227.92, N = 344123395.752005432.944714220.644081890.755937330.156105538.144883700.943647479.340472566.037514301.847964784.2

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K306090120150SE +/- 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 +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3113.75131.94110.90110.59128.47133.14105.0697.9386.4880.09102.72MIN: 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: 57.16 / MAX: 200.8MIN: 53.02 / MAX: 189.9MIN: 66.79 / MAX: 241.721. (CC) gcc options: -pthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K4K8K12K16K20KSE +/- 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 +/- 63.16, N = 3SE +/- 45.17, N = 3SE +/- 15.81, N = 315875.817624.815572.815451.020018.520223.016160.115263.713100.011869.615846.11. (CC) gcc options: -O3

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.0360.0720.1080.1440.18SE +/- 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 +/- 0.00034204, N = 3SE +/- 0.00040584, N = 3SE +/- 0.00016538, N = 30.110595130.097657810.113382120.110959950.085733400.086593970.110188770.116432470.148295770.159787460.10063976

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K900K1800K2700K3600K4500KSE +/- 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 +/- 1831.95, N = 3SE +/- 5758.27, N = 3SE +/- 2267.19, N = 314324032372930196194019990701780380134695726008403713107381864042383774350823

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 1.02, N = 4SE +/- 1.19, N = 3SE +/- 0.06, N = 369.6462.6468.1667.7960.4562.5566.4666.2572.4775.3469.01

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K800K1600K2400K3200K4000KSE +/- 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 +/- 453.22, N = 3SE +/- 5186.93, N = 3SE +/- 2574.96, N = 312884072139593176101017950131598013121223723514973356693344683738346773938063

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K30K60K90K120K150KSE +/- 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 +/- 105.66, N = 3SE +/- 104.94, N = 3SE +/- 179.78, N = 31056177531310580310735678347809249612997587108344117470895841. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.00, N = 310.266.807.567.378.4710.805.964.503.192.913.931. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.00, N = 310.406.967.717.518.6010.946.074.593.272.974.041. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1020304050SE +/- 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 +/- 0.15, N = 3SE +/- 0.30, N = 3SE +/- 0.12, N = 336.4035.2036.3036.2044.8044.4036.5035.3329.0026.2836.801. 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 HotSpot3DRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.83, N = 3SE +/- 1.07, N = 3SE +/- 0.05, N = 379.9383.8979.7681.1066.7463.8680.9487.0999.31104.3191.901. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K306090120150SE +/- 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 +/- 1.24, N = 3SE +/- 1.64, N = 3SE +/- 0.68, N = 377.7882.9886.7988.5972.5669.81118.74127.40141.02154.76131.401. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K306090120150SE +/- 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 +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.27, N = 390.5587.4394.0394.9383.5882.4799.06109.64137.80157.41110.03

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.77671.55342.33013.10683.8835SE +/- 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 +/- 0.00019, N = 3SE +/- 0.00108, N = 3SE +/- 0.00373, N = 31.149971.236071.495261.544881.274081.070982.117112.869953.161043.452092.08559

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K60120180240300SE +/- 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 +/- 0.28, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3236.58192.75182.97177.75233.83286.17128.7894.0375.1467.42114.36MIN: 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: 251MIN: 1 / MAX: 225MIN: 1 / MAX: 458

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.00020.00040.00060.00080.001SE +/- 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 +/- 0.00000413, N = 3SE +/- 0.00000511, N = 3SE +/- 0.00000106, N = 30.000768620.000702280.000753640.000749990.000650210.000649730.000699960.000735480.000884590.001008300.00073281

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K306090120150SE +/- 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 +/- 0.32, N = 3SE +/- 0.34, N = 3SE +/- 0.63, N = 359.4071.8667.3068.1858.6552.7580.88101.97124.21135.74106.411. (CXX) g++ options: -O3 -fPIC

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1020304050SE +/- 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 = 339.530.338.938.744.644.232.327.022.121.637.21. (CC) gcc options: -O3 -pthread -lz -llzma

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.838.087.807.739.519.508.087.695.895.437.881. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K306090120150SE +/- 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 +/- 0.64, N = 3SE +/- 0.83, N = 3SE +/- 0.71, N = 347.3663.9556.7857.9152.2745.4276.69100.40130.23142.56106.43

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 38.106.748.018.126.386.427.197.538.7110.306.93

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K140280420560700SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3417353413428344344406427582627373

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K12M24M36M48M60MSE +/- 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 +/- 72351.59, N = 3SE +/- 72737.67, N = 3SE +/- 21979.47, N = 352407367357268133891539538124311456012555674235027808441208717711814593016238519196530791. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.02, N = 3SE +/- 0.11, N = 369.7066.3768.8971.6257.3657.7269.1972.0988.0194.1270.281. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.47, N = 3SE +/- 0.69, N = 3SE +/- 0.14, N = 370.2463.6369.9472.7456.9961.5866.9169.2587.2797.1368.83-msse4a -msha-mmpx-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-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

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.55581.11161.66742.22322.779SE +/- 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 +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.431.931.972.102.202.471.561.290.630.571.281. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.55131.10261.65392.20522.7565SE +/- 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 +/- 0.00, N = 3SE +/- 0.00, N = 32.431.931.992.072.192.451.521.280.620.571.281. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1020304050SE +/- 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 +/- 0.10, N = 3SE +/- 0.40, N = 3SE +/- 0.01, N = 329.0825.0028.6828.9021.8122.6328.0329.7939.3442.5127.79MIN: 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: 36.42 / MAX: 50.8MIN: 38.92 / MAX: 51.84MIN: 27.7 / MAX: 29.861. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1122334455SE +/- 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 +/- 0.23, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 329.9124.2827.6627.8224.2925.4828.4731.6043.7747.0429.20MIN: 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: 43.19 / MAX: 66.44MIN: 46.55 / MAX: 79.05MIN: 28.94 / MAX: 30.061. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K510152025SE +/- 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 +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.01, N = 317.9113.5616.4816.7013.3214.6216.9217.5718.4019.6614.89MIN: 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: 18.12 / MAX: 32.57MIN: 19.19 / MAX: 72.97MIN: 14.8 / MAX: 16.251. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.17, N = 3SE +/- 0.43, N = 3SE +/- 0.05, N = 319.2413.2817.3117.3812.6813.4316.0517.0321.2123.0914.92MIN: 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: 20.85 / MAX: 39.97MIN: 22.46 / MAX: 50.46MIN: 14.77 / MAX: 16.851. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.17, N = 3SE +/- 0.36, N = 3SE +/- 0.03, N = 37.105.896.626.615.195.257.017.3610.6311.716.83MIN: 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: 10.28 / MAX: 12.43MIN: 11.18 / MAX: 12.89MIN: 6.75 / MAX: 8.341. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 35.154.004.754.753.994.164.835.087.107.654.41MIN: 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: 6.89 / MAX: 24.51MIN: 7.51 / MAX: 10.63MIN: 4.31 / MAX: 5.931. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.08, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 35.825.065.395.404.144.375.555.648.058.845.33MIN: 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: 7.71 / MAX: 22.06MIN: 8.31 / MAX: 46.7MIN: 5.16 / MAX: 6.821. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K714212835SE +/- 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 +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 317.1216.4116.5016.4912.3612.6517.0818.8329.3831.6818.79MIN: 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: 27.24 / MAX: 87.03MIN: 28.97 / MAX: 33.4MIN: 18.56 / MAX: 29.541. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.35, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 315.9714.0416.3915.9512.9513.3016.2917.8825.3826.9016.17MIN: 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: 23.56 / MAX: 136.33MIN: 25.24 / MAX: 30.17MIN: 15.98 / MAX: 27.231. (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.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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.81451.6292.44353.2584.0725SE +/- 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 = 33.253.342.622.783.063.621.941.680.950.852.111. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.81231.62462.43693.24924.0615SE +/- 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 +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 33.273.292.612.783.063.611.941.680.950.852.101. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K7K14K21K28K35KSE +/- 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 +/- 17.53, N = 3SE +/- 19.88, N = 3SE +/- 22.70, N = 328416197652151720910264203256115422114099499872811261

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 333.8459.6145.8246.7437.5429.5565.3490.2393.99104.80108.061. (CXX) g++ options: -fopenmp -O2 -march=native

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.80781.61562.42343.23124.039SE +/- 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 +/- 0.00, N = 33.292.212.502.402.933.591.801.331.221.101.26MIN: 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: 1.17 / MAX: 1.23MIN: 1.06 / MAX: 1.11MIN: 1.22 / MAX: 1.28

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.85731.71462.57193.42924.2865SE +/- 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 +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.642.462.732.643.133.811.931.421.261.141.40MIN: 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: 1.22 / MAX: 1.32MIN: 1.11 / MAX: 1.2MIN: 1.37 / MAX: 1.45

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K50K100K150K200K250KSE +/- 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 +/- 297.43, N = 3SE +/- 1326.69, N = 3SE +/- 40.25, N = 3117199147694139014140368122229106372156768213644222099248092236704

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K40K80K120K160K200KSE +/- 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 +/- 77.44, N = 3SE +/- 120.14, N = 3SE +/- 26.52, N = 368497.9117619.094517.096280.291290.467914.5123482.0175736.0188045.0209204.0205404.0

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K40K80K120K160K200KSE +/- 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 +/- 12.10, N = 3SE +/- 394.42, N = 3SE +/- 52.68, N = 366530.3114230.092214.293903.683458.762588.7120735.0171301.0175332.0195793.0202481.0

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K60K120K180K240K300KSE +/- 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 +/- 41.39, N = 3SE +/- 866.41, N = 3SE +/- 9.85, N = 3100527.0167595.0135602.0138101.0123127.094678.2180202.0251199.0258726.0288755.0296354.0

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K4080120160200SE +/- 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 +/- 0.13, N = 3SE +/- 0.30, N = 3SE +/- 0.33, N = 3141.80138.00142.40140.20167.00167.00143.20136.50106.0097.95135.001. chrome 86.0.4240.75

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3K6K9K12K15KSE +/- 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 +/- 4.78, N = 3SE +/- 2.54, N = 3SE +/- 15.37, N = 312280.859817.088760.849097.7410933.3313580.757134.905795.792742.772518.635506.561. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K500K1000K1500K2000K2500KSE +/- 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 +/- 64.00, N = 3SE +/- 543.95, N = 3SE +/- 620.08, N = 3186800013313331413667136666718406672226000991599724083443008402572752998-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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3K6K9K12K15KSE +/- 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 +/- 2.00, N = 3SE +/- 2.99, N = 3SE +/- 16.16, N = 312650.249817.408748.799125.6910990.5413518.297092.345700.852728.142515.455477.651. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K90180270360450SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 34072693012983304202151571311191501. (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: ResizingRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K400800120016002000SE +/- 1.73, N = 3SE +/- 0.67, N = 3SE +/- 2.03, N = 3SE +/- 1.20, N = 3SE +/- 1.86, N = 3SE +/- 1.45, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.45, N = 318291264141514321610189310317606386007391. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K2004006008001000SE +/- 1.20, N = 3SE +/- 9.68, N = 3SE +/- 12.84, N = 3SE +/- 8.11, N = 3SE +/- 3.51, N = 3SE +/- 0.88, N = 3SE +/- 2.65, N = 3SE +/- 1.00, N = 3SE +/- 0.88, N = 3799945726766105610427947546576238621. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 331.3352.1342.0342.8937.7830.2260.0282.4486.8295.4694.601. (CC) gcc options: -lm -lpthread -O3

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K50100150200250169.17183.25170.08171.79134.28135.23167.36172.48233.40243.89192.56

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 352.3953.6753.5154.3445.8546.3457.8463.4168.6174.6560.931. RawTherapee, version 5.8, command line.

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K306090120150SE +/- 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 +/- 0.50, N = 3SE +/- 2.13, N = 3SE +/- 0.07, N = 347.4757.1756.2351.4248.4145.7464.0271.46132.88145.4064.94MIN: 46.54MIN: 56.54MIN: 55.46MIN: 50.48MIN: 47.56MIN: 44.74MIN: 62.9MIN: 70MIN: 128.55MIN: 139.35MIN: 63.431. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 342.3747.7946.2746.7940.1237.3754.1464.4184.4791.4166.26

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 331.6546.5440.6741.2733.8028.2654.9773.8384.7393.8680.081. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1632486480SE +/- 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 +/- 0.28, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 355.0746.5656.7755.7841.5442.6853.9857.3069.1173.9349.051. (CC) gcc options: -O2 -ldl -lz -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1530456075SE +/- 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 +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 354.0949.2353.6954.6745.0545.0552.4555.2160.6965.3152.53

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.0174, N = 3SE +/- 0.0129, N = 3SE +/- 0.1152, N = 319.874617.704115.287314.959419.467923.784211.04828.30256.51245.98129.7946MIN: 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: 6.45 / MAX: 6.62MIN: 5.94 / MAX: 6.09MIN: 9.48 / MAX: 10.12

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 333.4744.8739.5240.4834.1629.8251.2465.2783.9791.6870.34

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: CrownRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.0168, N = 3SE +/- 0.0595, N = 3SE +/- 0.0261, N = 321.044015.424716.092615.659019.922924.275711.56798.65447.02836.40888.5744MIN: 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: 6.98 / MAX: 7.15MIN: 6.07 / MAX: 6.56MIN: 8.48 / MAX: 8.74

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 335.6842.7740.4341.1135.2132.2048.5261.3474.5181.8863.901. (CXX) g++ options: -O3 -fPIC

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.052, N = 22SE +/- 0.058, N = 22SE +/- 0.062, N = 226.4126.2896.3556.5065.1425.1266.2076.4817.8798.5426.5681. LibreOffice 7.0.1.2 00(Build:2)

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.0569, N = 3SE +/- 0.0269, N = 3SE +/- 0.0117, N = 321.869217.630716.990016.843020.378925.072212.52109.63037.99657.399310.0729MIN: 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: 7.89 / MAX: 8.21MIN: 7.33 / MAX: 7.55MIN: 10.02 / MAX: 10.19

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1428425670SE +/- 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 +/- 0.05, N = 3SE +/- 0.33, N = 3SE +/- 0.14, N = 342.2643.3043.5544.3537.4036.7845.8351.3557.8162.7352.411. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.46, N = 3SE +/- 0.34, N = 3SE +/- 0.19, N = 363.2378.0265.5865.3758.4059.6561.2457.7069.0676.0964.07

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.0101, N = 3SE +/- 0.0210, N = 3SE +/- 0.0502, N = 321.663520.429916.832316.525520.479825.589712.40079.51207.58567.115912.3370MIN: 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: 7.54 / MAX: 7.69MIN: 7.05 / MAX: 7.23MIN: 12.23 / MAX: 12.58

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 318.5115.8218.3818.5614.8114.7518.0618.9723.2925.1917.051. 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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1122334455SE +/- 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 +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.64, N = 325.6633.1426.8628.1322.7722.2032.7236.3444.8149.3744.94

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1632486480SE +/- 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 +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 323.5133.7330.5831.5327.4223.0142.7758.7367.3374.1559.341. (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

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 423.0918.8119.6519.3723.5426.5012.4811.709.108.3012.561. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.00, N = 3SE +/- 0.00, N = 325.1719.5721.1620.6423.7426.5916.9512.758.908.1111.471. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K160320480640800SE +/- 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 +/- 0.57, N = 3SE +/- 1.93, N = 3SE +/- 1.39, N = 3207.12214.09220.22232.66179.87161.22263.00318.34658.70722.40344.92MIN: 203.26MIN: 206.29MIN: 218.35MIN: 229.79MIN: 178.58MIN: 159.59MIN: 260.82MIN: 312.42MIN: 654.48MIN: 718.59MIN: 339.71. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1020304050SE +/- 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 +/- 0.04, N = 3SE +/- 0.01, N = 337.2332.3637.1937.4630.8830.8536.4638.5540.6844.1235.10

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1020304050SE +/- 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 +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 336.6431.7335.9936.7830.5630.7434.7436.7539.7543.2534.12

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K816243240SE +/- 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 +/- 0.27, N = 4SE +/- 0.12, N = 426.6825.3026.7126.8121.3221.4626.0827.4830.8333.3826.771. (CC) gcc options: -O2 -std=c99

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1428425670SE +/- 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 +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 320.7829.0425.0625.7722.0219.0233.9343.9057.5562.7447.83

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.11026, N = 10SE +/- 0.19687, N = 3SE +/- 0.02430, N = 32.476062.962533.153043.264372.724672.276104.488766.5901611.8845012.686705.45967MIN: 2.42MIN: 2.92MIN: 3.08MIN: 3.14MIN: 2.66MIN: 2.2MIN: 4.22MIN: 6.32MIN: 11.22MIN: 12.17MIN: 5.251. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K918273645SE +/- 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 +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 332.3031.1232.5832.0127.6227.2731.2032.5338.0340.3033.161. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20K40K60K80K100KSE +/- 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 +/- 179.41, N = 3SE +/- 39.73, N = 3SE +/- 325.15, N = 390071647727755076909894379477956370438553352631429418971. (CXX) g++ options: -pipe -lpthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 319.4725.6719.6419.8225.3025.4519.4719.2614.8413.5821.701. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1224364860SE +/- 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 +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 344.5741.5043.5943.1953.4254.9941.7639.0228.6826.2836.941. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K4080120160200SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3153134153158123123150158189204140

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K8K16K24K32K40KSE +/- 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 +/- 9.54, N = 3SE +/- 13.53, N = 3SE +/- 1.20, N = 3280962359120729202443021438305144941048110215911313022-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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K16K32K48K64K80KSE +/- 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 +/- 7.18, N = 3SE +/- 7.25, N = 3SE +/- 7.26, N = 358788.4745909.6543919.3142773.9761777.8574570.4230745.6122344.1510871.209919.7925302.451. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K48121620SE +/- 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 +/- 0.02, N = 312.8911.1010.4611.0411.9113.747.656.363.122.686.87

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K13002600390052006500SE +/- 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 +/- 20.88, N = 3SE +/- 5.74, N = 3SE +/- 10.49, N = 34059.12922.34483.54499.85879.84896.14265.94561.33309.93204.63633.41. (CC) gcc options: -O3 -pthread -lz -llzma

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K2004006008001000SE +/- 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 +/- 0.07, N = 3SE +/- 0.27, N = 3SE +/- 0.45, N = 3829.79706.15684.39670.09873.701025.44545.54420.46305.10285.89417.531. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1122334455SE +/- 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 +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 318.3025.1822.6322.8818.7215.9629.3238.6743.9348.5641.401. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K306090120150SE +/- 0.03, N = 3SE +/- 0.33, N = 3SE +/- 0.24, N = 3SE +/- 0.20, N = 3SE +/- 0.88, N = 3SE +/- 0.10, N = 3102.093.0101.0103.088.789.0100.0105.0142.0156.098.7

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1020304050SE +/- 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 +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.5521.3117.8118.3915.4112.8525.1334.3738.3942.1738.011. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1122334455SE +/- 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 +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 320.5824.7422.7723.2219.5218.1727.9733.4545.1348.6535.43

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3K6K9K12K15KSE +/- 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 +/- 27.57, N = 3SE +/- 7.55, N = 3SE +/- 9.56, N = 311474.910815.811473.911595.214645.414032.511505.511552.09986.49570.910868.21. (CXX) g++ options: -rdynamic

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K816243240SE +/- 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 +/- 0.18, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 329.1825.4529.0729.4724.5324.6728.3629.6731.5234.0927.04

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K918273645SE +/- 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 +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 336.2628.3927.6627.3430.5638.4325.5417.8913.0211.8116.121. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPURyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.01059, N = 3SE +/- 0.01746, N = 3SE +/- 0.01019, N = 34.039263.285624.813803.800313.003383.209106.236465.736879.6100510.444804.33647MIN: 3.77MIN: 3.02MIN: 4.58MIN: 3.45MIN: 2.77MIN: 3.05MIN: 5.63MIN: 5.47MIN: 9.21MIN: 10.22MIN: 4.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K918273645SE +/- 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 +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 337.1629.3628.5628.1331.4739.3726.2018.3613.3912.1316.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K918273645SE +/- 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 +/- 0.20, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 321.2323.5823.8324.1121.2519.4725.8830.4834.8837.5629.80-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=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-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

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K510152025SE +/- 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 +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 315.614.315.415.812.712.715.216.119.921.315.2

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1.18352.3673.55054.7345.9175SE +/- 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 +/- 0.01, N = 34.184.654.184.165.265.244.203.972.982.744.171. (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: Kraken - Browser: Google ChromeRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K2004006008001000SE +/- 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 +/- 3.45, N = 3SE +/- 4.02, N = 3SE +/- 4.28, N = 3700.5754.9705.8715.3589.9590.1686.9721.3878.4953.1757.01. chrome 86.0.4240.75

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.450.91.351.82.251.591.991.571.601.361.361.551.631.701.822.00

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K2004006008001000SE +/- 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 +/- 0.98, N = 3SE +/- 2.37, N = 3SE +/- 0.30, N = 3751.35829.30743.57717.42871.93885.60732.75716.75528.11494.99741.221. (CC) gcc options: -lm

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K2004006008001000SE +/- 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 +/- 5.26, N = 3SE +/- 8.29, N = 3SE +/- 2.60, N = 3731.0709.4714.9745.9663.0673.1708.1737.2856.8940.0745.51. firefox 81.0

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 35.3204.3204.4934.4115.3156.0633.3472.4651.9161.7522.7071. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K816243240SE +/- 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 +/- 0.52, N = 3SE +/- 0.03, N = 3SE +/- 0.40, N = 314.7316.9916.0316.2613.2512.2419.0124.8130.3833.5124.80

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K918273645SE +/- 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 +/- 0.04, N = 318.7319.8420.5621.0317.1915.5824.0330.1536.4940.0829.50

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K918273645SE +/- 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 +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 313.5420.0717.3817.9315.6813.1424.3733.1736.9640.5935.68-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=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-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

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K714212835SE +/- 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 +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 325.3730.3425.6425.8331.1230.8126.9925.9919.3017.3428.661. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K2M4M6M8M10MSE +/- 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 +/- 91197.02, N = 5SE +/- 19360.82, N = 3SE +/- 7610.57, N = 3919540310087418907152892680701140483811519567880528789120187221279671840391961541. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K714212835SE +/- 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 +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 323.9219.8623.7824.2118.3218.5523.7823.8828.4931.7020.861. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K50100150200250SE +/- 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 +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3201.96183.54197.64197.62228.06231.45171.17145.19105.8199.86143.26MIN: 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: 92.09 / MAX: 111.8MIN: 89.89 / MAX: 105.63MIN: 134.31 / MAX: 160.761. (CC) gcc options: -pthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K2004006008001000SE +/- 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 +/- 0.77, N = 3SE +/- 0.46, N = 3SE +/- 0.99, N = 3619.21785.87585.47586.78661.39688.70514.32438.49335.74316.11550.52MIN: 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: 254.48 / MAX: 557.97MIN: 240.35 / MAX: 513.8MIN: 404.15 / MAX: 850.711. (CC) gcc options: -pthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K510152025SE +/- 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 +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 319.1320.3618.9018.7916.4816.1718.4319.1020.1521.8222.38

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K714212835SE +/- 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 +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 322.7419.1723.0023.0719.3819.3521.7522.6226.8229.1420.35

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1122334455SE +/- 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 +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 345.9235.2536.8736.0841.7048.9930.1322.8416.1714.7420.851. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K714212835SE +/- 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 +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 320.2118.0420.6720.9217.2917.1921.2022.7328.5331.4621.48

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K60120180240300SE +/- 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 +/- 0.38, N = 3SE +/- 0.44, N = 3SE +/- 0.10, N = 3240.34261.56236.45235.52215.55213.84231.37240.28260.66278.62278.41MIN: 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: 259.28 / MAX: 263.02MIN: 276.97 / MAX: 280.86MIN: 278.09 / MAX: 284.761. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.991.982.973.964.953.032.283.223.201.531.543.123.134.344.402.64

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K2004006008001000SE +/- 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 +/- 2.96, N = 3SE +/- 9.53, N = 3SE +/- 1.67, N = 387677386688873071887188810621159820

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K120240360480600SE +/- 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 +/- 0.88, N = 3SE +/- 0.14, N = 3SE +/- 0.37, N = 3501.99556.85488.01492.74548.75550.63499.69480.70455.95420.79523.671. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K100200300400500SE +/- 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 +/- 1.82, N = 3SE +/- 0.36, N = 3SE +/- 0.12, N = 3400.12446.45393.72403.65461.36465.90411.27390.47370.26343.93420.581. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K4080120160200SE +/- 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 +/- 0.63, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3157.12176.07159.83162.65173.79177.01168.05157.47148.86137.69165.641. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K10002000300040005000SE +/- 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 +/- 1.43, N = 3SE +/- 0.28, N = 3SE +/- 6.82, N = 34743.43712.33551.03489.83858.34897.32490.61806.41288.71157.02038.21. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K714212835SE +/- 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 +/- 0.14, N = 3SE +/- 0.18, N = 3SE +/- 0.03, N = 310.8218.3413.2913.6012.1710.2722.2927.1630.5031.7828.491. (CXX) g++ options: -O2 -lOpenCL

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K9001800270036004500SE +/- 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 +/- 38.38, N = 4SE +/- 40.19, N = 9SE +/- 43.74, N = 2032552747305031302656271229083090355940612778

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.40640.81281.21921.62562.032SE +/- 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 +/- 0.027, N = 3SE +/- 0.024, N = 3SE +/- 0.006, N = 30.6970.7810.8050.8420.6840.6271.0071.3401.5911.8061.295MIN: 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: 1.42 / MAX: 2.11MIN: 1.62 / MAX: 2.45MIN: 1.2 / MAX: 1.71

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.76051.5212.28153.0423.8025SE +/- 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 +/- 0.00, N = 3SE +/- 0.00, N = 32.722.922.712.683.363.382.712.561.851.702.611. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K510152025SE +/- 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 +/- 0.23, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 317.2421.0617.4118.5215.6115.3717.3418.2620.0421.1922.371. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K70140210280350SE +/- 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 +/- 0.39, N = 3SE +/- 0.40, N = 3SE +/- 0.14, N = 3258.83282.65255.51256.34227.29228.34246.79257.80282.94300.34294.97MIN: 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: 268.15 / MAX: 299.88MIN: 287.66 / MAX: 320.52MIN: 294.25 / MAX: 296.331. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K612182430SE +/- 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 +/- 0.03, N = 3SE +/- 0.09, N = 318.3316.0518.2718.2015.9715.7417.7718.6621.7623.4217.351. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1.14752.2953.44254.595.7375SE +/- 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 = 34.35.04.24.24.04.04.24.24.65.05.11. chrome 86.0.4240.75

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K100200300400500SE +/- 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 +/- 4.23, N = 3SE +/- 2.09, N = 3SE +/- 0.19, N = 3362.2419.1360.7369.6291.4297.7347.7367.7438.5468.8450.81. firefox 81.0

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1.23752.4753.71254.956.1875SE +/- 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 = 34.55.54.44.44.34.44.34.45.05.25.41. firefox 81.0

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K510152025SE +/- 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 +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 315.5716.4015.6416.1312.8412.8215.3816.1518.0319.2817.13

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K48121620SE +/- 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 +/- 0.026, N = 3SE +/- 0.008, N = 3SE +/- 0.093, N = 1512.25010.44211.87611.9169.91510.31411.23911.59013.45314.81211.203

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1224364860SE +/- 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 +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 338.9049.0438.3238.0353.1952.9438.5938.2029.8125.9945.811. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K510152025SE +/- 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 +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 315.6415.0814.8615.2612.6312.7615.0415.6218.7620.2315.451. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K510152025SE +/- 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 +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 312.2414.2313.2313.4811.0210.3614.9718.0520.8822.7519.681. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K14002800420056007000SE +/- 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 +/- 86.81, N = 3SE +/- 76.42, N = 4SE +/- 25.86, N = 334602884334833892836292536634395597863573977

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K80160240320400SE +/- 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 +/- 0.64, N = 3SE +/- 0.32, N = 3SE +/- 0.44, N = 3280.03340.68270.84280.25253.65254.15270.45285.66334.70360.75368.441. chrome 86.0.4240.75

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1122334455SE +/- 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 +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 343.3338.2336.5935.9543.1548.7128.0018.5114.7413.4221.381. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.016, N = 5SE +/- 0.007, N = 5SE +/- 0.017, N = 57.4557.1737.5387.5796.4406.3737.3407.6959.1249.7487.5871. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K510152025SE +/- 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 +/- 0.018, N = 3SE +/- 0.031, N = 3SE +/- 0.006, N = 36.70410.3539.0689.2457.2065.65512.99918.01219.42621.62618.7591. (CC) gcc options: -static -fopenmp -O3 -march=native

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 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 +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 382.2469.9063.2662.5069.6386.9460.1048.1434.6331.3743.821. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K48121620SE +/- 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 +/- 0.006, N = 3SE +/- 0.047, N = 3SE +/- 0.009, N = 311.26510.40411.11611.1459.3209.43110.81111.13012.83814.22010.818

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.019, N = 5SE +/- 0.023, N = 5SE +/- 0.031, N = 56.4695.8976.5956.7555.1935.1806.4846.5737.5207.9276.190

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K48121620SE +/- 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 +/- 0.150, N = 3SE +/- 0.124, N = 3SE +/- 0.134, N = 37.2768.0998.1878.6137.4956.7649.62513.98215.75317.54814.129

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K48121620SE +/- 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 +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.057, N = 35.2007.9056.9447.0926.1604.9379.84713.51715.45917.03114.2041. (CXX) g++ options: -fopenmp -O3

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.030, N = 3SE +/- 0.042, N = 3SE +/- 0.020, N = 38.5918.7028.9738.9077.3657.35011.01811.42412.58613.2398.7501. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K48121620SE +/- 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 +/- 0.03970, N = 3SE +/- 0.04612, N = 3SE +/- 0.00733, N = 35.614407.007287.249607.421955.956644.966149.8793013.5114015.2225016.8367012.23220-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=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-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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.03677, N = 3SE +/- 0.03130, N = 3SE +/- 0.01150, N = 34.384735.146035.793385.809234.683103.788277.5834310.4378011.2984012.427108.89984-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=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-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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K816243240SE +/- 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 +/- 0.32, N = 3SE +/- 0.44, N = 3SE +/- 0.17, N = 326.926.826.226.724.124.125.427.030.833.229.01. firefox 81.0

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.00, N = 3SE +/- 0.00, N = 36.276.807.047.076.015.607.989.606.447.099.451. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.066, N = 3SE +/- 0.126, N = 3SE +/- 0.089, N = 38.0747.4617.9438.0576.7476.8427.7578.0268.7379.6237.681

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.130, N = 3SE +/- 0.154, N = 3SE +/- 0.124, N = 37.2896.8047.3817.4916.3446.2987.6738.2369.66810.8647.926

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.011, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 36.7486.0246.5556.8045.3405.3346.5676.9167.7538.2906.3871. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.034, N = 3SE +/- 0.028, N = 3SE +/- 0.002, N = 36.3656.3716.7606.7155.4265.2526.7977.6208.9549.7037.5951. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K12002400360048006000SE +/- 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 +/- 26.26, N = 4SE +/- 38.39, N = 4SE +/- 26.51, N = 439463319396339903068306639654215523256263676

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K816243240SE +/- 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 +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 327.3227.7527.0928.5024.2424.5726.4627.9032.3534.0829.421. chrome 86.0.4240.75

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.040, N = 3SE +/- 0.008, N = 3SE +/- 0.017, N = 36.8946.9666.9647.0815.6215.5626.6587.0678.2138.8127.3971. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K4080120160200SE +/- 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 +/- 0.50, N = 3SE +/- 0.57, N = 3SE +/- 0.59, N = 3162.49126.19139.09136.32158.81172.7598.3277.1962.2057.5875.141. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K714212835SE +/- 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 +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 327.318.325.124.728.330.321.918.911.510.814.4

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K60120180240300SE +/- 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 +/- 0.32, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3225.71237.26221.00229.31281.15281.53232.69221.22176.66164.17223.57-lm1. (CC) gcc options: -O3 -rdynamic

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K306090120150SE +/- 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 +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3145.91129.64119.07117.56130.30155.81112.9085.5761.8156.0279.101. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3691215SE +/- 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 +/- 0.039, N = 3SE +/- 0.032, N = 15SE +/- 0.018, N = 311.5418.7019.4879.26210.71913.0916.8805.2664.5764.0355.2931. (CXX) g++ options: -O3 -pthread -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: ScaleRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.048, N = 3SE +/- 0.032, N = 3SE +/- 0.011, N = 35.4995.3115.4565.5504.5934.6415.2385.5286.2006.7695.639

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.017, N = 3SE +/- 0.019, N = 3SE +/- 0.014, N = 34.4534.5384.5864.6164.2644.2584.7335.3226.1536.6435.4341. (CXX) g++ options: -O3 -fPIC

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K50100150200250SE +/- 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 +/- 0.64, N = 3SE +/- 0.42, N = 3SE +/- 1.83, N = 3217.13210.08198.20202.63226.26234.14149.99134.2599.9992.99154.531. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -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: 10Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K246810SE +/- 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 +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.014, N = 34.3054.3794.3364.3954.1384.1334.4564.9705.8206.2525.1021. (CXX) g++ options: -O3 -fPIC

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K50100150200250SE +/- 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 +/- 0.04, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3200.83186.01180.29180.89206.64220.35119.86109.3281.3875.58122.761. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K1.2692.5383.8075.0766.345SE +/- 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 +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.865.643.993.893.733.855.064.904.544.534.041. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K8K16K24K32K40KSE +/- 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 +/- 103.15, N = 3SE +/- 347.09, N = 12SE +/- 77.79, N = 338565.5325630.0135670.0136851.9037925.6236137.4937466.4834238.2332899.6931041.6534083.371. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K510152025SE +/- 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 +/- 0.09746, N = 3SE +/- 0.05307, N = 3SE +/- 0.10039, N = 34.297134.787665.253665.084604.716703.715876.865579.0233617.5858018.996808.71910MIN: 4.2MIN: 4.68MIN: 5.14MIN: 5.02MIN: 4.35MIN: 3.65MIN: 6.67MIN: 8.56MIN: 16.17MIN: 17.75MIN: 8.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Ryzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.58971.17941.76912.35882.9485SE +/- 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 +/- 0.011, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 32.1612.0092.0882.1751.7431.7292.0992.1892.4422.6212.1151. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K400K800K1200K1600K2000KSE +/- 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 +/- 3891.87, N = 5SE +/- 26659.00, N = 25SE +/- 2392.41, N = 514072531572770138520613769721960074197077614018321327838112546849152014821951. (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: DefaultRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K0.38880.77761.16641.55521.944SE +/- 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 +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.3691.2941.3651.4141.1531.1451.3671.4341.6151.7281.3741. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K4080120160200SE +/- 2.00, N = 3SE +/- 4.79, N = 15SE +/- 0.67, N = 3175150177190148136156190180204178

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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K30060090012001500SE +/- 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 +/- 1.56, N = 3SE +/- 2.19, N = 3SE +/- 0.29, N = 31022.731176.071019.651000.221485.051501.031010.571003.69431.56404.711084.831. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K110220330440550SE +/- 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 +/- 1.16, N = 3SE +/- 1.75, N = 3SE +/- 2.26, N = 3374.19390.00371.29310.86495.79521.05262.48306.45201.06200.98265.781. (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 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K4080120160200SE +/- 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 +/- 0.23, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3165.36179.16163.05159.96189.65192.12168.24159.39140.76131.78165.101. (CC) gcc options: -lm

217 Results Shown

Timed LLVM Compilation
Blender
PlaidML
BRL-CAD
PlaidML
Caffe
Appleseed
Monte Carlo Simulations of Ionised Nebulae
Selenium
Rodinia
Numpy Benchmark
GROMACS
ASTC Encoder
Blender
WireGuard + Linux Networking Stack Stress Test
Radiance Benchmark
Hierarchical INTegration
asmFish
Numenta Anomaly Benchmark
Blender
Selenium
Polyhedron Fortran Benchmarks
Mobile Neural Network:
  inception-v3
  MobileNetV2_224
  resnet-v2-50
  SqueezeNetV1.0
Appleseed
YafaRay
PlaidML
Appleseed
Tachyon
ACES DGEMM
BYTE Unix Benchmark
dav1d
Fhourstones
Perl Benchmarks
TensorFlow Lite
Mlpack Benchmark
TensorFlow Lite
Caffe
Kvazaar:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
Selenium
Rodinia:
  OpenMP HotSpot3D
  OpenMP Leukocyte
Timed GDB GNU Debugger Compilation
NAMD
OpenVKL
Perl Benchmarks
libavif avifenc
Zstd Compression
VP9 libvpx Encoding
Timed Linux Kernel Compilation
PyPerformance:
  python_startup
  raytrace
Stockfish
Montage Astronomical Image Mosaic Engine
Timed MrBayes Analysis
OpenVINO:
  Person Detection 0106 FP16 - CPU
  Person Detection 0106 FP32 - CPU
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:
  Face Detection 0106 FP16 - CPU
  Face Detection 0106 FP32 - CPU
Chaos Group V-RAY
m-queens
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
TensorFlow Lite:
  NASNet Mobile
  Mobilenet Quant
  Mobilenet Float
  SqueezeNet
Selenium
OpenVINO
John The Ripper
OpenVINO
GraphicsMagick:
  Enhanced
  Resizing
  Rotate
C-Ray
Radiance Benchmark
RawTherapee
oneDNN
Timed PHP Compilation
Basis Universal
SQLite Speedtest
GEGL
Embree
Timed FFmpeg Compilation
Embree
libavif avifenc
LibreOffice
Embree
Basis Universal
DeepSpeech
Embree
Selenium
Numenta Anomaly Benchmark
POV-Ray
x265
Kvazaar
oneDNN
GEGL:
  Rotate 90 Degrees
  Antialias
eSpeak-NG Speech Engine
Timed MPlayer Compilation
oneDNN
WebP Image Encode
7-Zip Compression
AOM AV1
LibRaw
PyPerformance
John The Ripper
Aircrack-ng
Intel Open Image Denoise
Zstd Compression
TTSIOD 3D Renderer
Basis Universal
PyPerformance
ASTC Encoder
Timed ImageMagick Compilation
C-Blosc
GEGL
Kvazaar
oneDNN
Kvazaar
Tungsten Renderer
PyPerformance
AOM AV1
Selenium
Polyhedron Fortran Benchmarks
SciMark
Selenium
SVT-AV1
Numenta Anomaly Benchmark
OCRMyPDF
Tungsten Renderer
VP9 libvpx Encoding
Crafty
Inkscape
dav1d:
  Summer Nature 4K
  Chimera 1080p
Mlpack Benchmark
Tesseract OCR
Kvazaar
Timed Apache Compilation
TNN
Polyhedron Fortran Benchmarks
PyBench
Botan:
  Blowfish
  Twofish
  CAST-256
OpenSSL
Rodinia
DaCapo Benchmark
Sunflow Rendering System
AOM AV1
RNNoise
TNN
G'MIC
Selenium:
  Maze Solver - Google Chrome
  WASM collisionDetection - Firefox
  Maze Solver - Firefox
Dolfyn
GIMP
AOM AV1
WebP Image Encode
Nebular Empirical Analysis Tool
DaCapo Benchmark
Selenium
SVT-AV1
FLAC Audio Encoding
N-Queens
Kvazaar
GIMP
GNU Octave Benchmark
Numenta Anomaly Benchmark
Smallpt
Timed MAFFT Alignment
Tungsten Renderer:
  Volumetric Caustic
  Non-Exponential
Selenium
ASTC Encoder
GEGL
GIMP
WebP Image Encode
Basis Universal
DaCapo Benchmark
Selenium
LAME MP3 Encoding
x264
NeatBench
libjpeg-turbo tjbench
Kvazaar
LAMMPS Molecular Dynamics Simulator
GEGL
libavif avifenc
SVT-VP9
libavif avifenc
SVT-VP9
CloverLeaf
FFTE
oneDNN
WebP Image Encode
TSCP
WebP Image Encode
ctx_clock
SciMark:
  Dense LU Matrix Factorization
  Fast Fourier Transform
  Monte Carlo