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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

Audio Encoding 2 Tests
AV1 4 Tests
Bioinformatics 2 Tests
C++ Boost Tests 3 Tests
Web Browsers 1 Tests
Chess Test Suite 6 Tests
Timed Code Compilation 8 Tests
C/C++ Compiler Tests 35 Tests
Compression Tests 3 Tests
CPU Massive 47 Tests
Creator Workloads 47 Tests
Cryptography 4 Tests
Encoding 11 Tests
Fortran Tests 7 Tests
Game Development 5 Tests
HPC - High Performance Computing 26 Tests
Imaging 11 Tests
Java 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 13 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 49 Tests
NVIDIA GPU Compute 9 Tests
OCR 2 Tests
Intel oneAPI 6 Tests
OpenCV Tests 2 Tests
OpenMPI Tests 6 Tests
Productivity 5 Tests
Programmer / Developer System Benchmarks 14 Tests
Python 5 Tests
Raytracing 4 Tests
Renderers 12 Tests
Scientific Computing 12 Tests
Server 3 Tests
Server CPU Tests 31 Tests
Single-Threaded 17 Tests
Speech 3 Tests
Telephony 3 Tests
Texture Compression 2 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  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
Invert Hiding All Results Option
  11 Hours, 42 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


Ryzen 9 5900X / Ryzen 9 5950X Linux PerformanceProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XIntel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCH16GB2000GB 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)AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS)AMD 17hAMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads)AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads)AMD Starship/MatisseAMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads)AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 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)OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Core i5 10600K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1- Core i9 10900K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8- Ryzen 5 2600: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Ryzen 5 2600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Ryzen 5 3600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 7 3800XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3900XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3950X: 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: 0xa201009Java Details- OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Details- Python 2.7.18 + Python 3.8.5Security Details- 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- 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 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- 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 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 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 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 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 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- 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

Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XLogarithmic 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 Performancemt-dgemm: Sustained Floating-Point Rateaircrack-ng: onednn: Deconvolution Batch deconv_1d - f32 - CPUjohn-the-ripper: MD5openvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUoidn: Memorialonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvkl: vklBenchmarkopenssl: RSA 4096-bit Performancejohn-the-ripper: Blowfishtscp: AI Chess Performanceembree: Pathtracer ISPC - Crownbrl-cad: VGR Performance Metricn-queens: Elapsed Timeembree: Pathtracer - Crownv-ray: CPUkvazaar: Bosphorus 4K - Slowscimark2: Dense LU Matrix Factorizationkvazaar: Bosphorus 4K - Mediumm-queens: Time To Solvesvt-av1: Enc Mode 8 - 1080pembree: Pathtracer ISPC - Asian Dragonttsiod-renderer: Phong Rendering With Soft-Shadow Mappingblender: Fishy Cat - CPU-Onlygraphics-magick: Enhancedasmfish: 1024 Hash Memory, 26 Depthtachyon: Total Timeyafaray: Total Time For Sample Scenerodinia: OpenMP LavaMDstockfish: Total Timeonednn: IP Batch 1D - f32 - CPUsvt-av1: Enc Mode 4 - 1080psmallpt: Global Illumination Renderer; 128 Samplestungsten: Volumetric Causticembree: Pathtracer - Asian Dragonblender: Classroom - CPU-Onlyluxcorerender: Rainbow Colors and Prismastcenc: Exhaustivekvazaar: Bosphorus 4K - Ultra Fastbasis: UASTC Level 3build-mplayer: Time To Compileastcenc: Thoroughtungsten: Non-Exponentialkvazaar: Bosphorus 4K - Very Fastluxcorerender: DLSCkvazaar: Bosphorus 1080p - Slowblender: BMW27 - CPU-Onlytensorflow-lite: Inception ResNet V2kvazaar: Bosphorus 1080p - Mediumlammps: Rhodopsin Proteintensorflow-lite: Mobilenet Floattensorflow-lite: Inception V4namd: ATPase Simulation - 327,506 Atomspovray: Trace Timex265: Bosphorus 4Konednn: IP Batch All - f32 - CPUc-ray: Total Time - 4K, 16 Rays Per Pixelgraphics-magick: Resizingbuild-linux-kernel: Time To Compiletensorflow-lite: SqueezeNetrodinia: OpenMP CFD Solvertungsten: Hairbuild-llvm: Time To Compilenumenta-nab: Earthgecko Skylinetensorflow-lite: Mobilenet Quantbuild-ffmpeg: Time To Compileappleseed: Emilybasis: UASTC Level 2compress-7zip: Compress Speed Testx264: H.264 Video Encodingsvt-vp9: Visual Quality Optimized - Bosphorus 1080pappleseed: Disney Materialsunflow: Global Illumination + Image Synthesispolyhedron: linpkappleseed: Material Testerneatbench: CPUkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastgromacs: Water Benchmarknumenta-nab: Relative Entropybuild-imagemagick: Time To Compilemnn: inception-v3mnn: SqueezeNetV1.0numenta-nab: Windowed Gaussianscimark2: Fast Fourier Transformavifenc: 0ocrmypdf: Processing 60 Page PDF Documentncnn: CPU - mobilenetavifenc: 2svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pdav1d: Chimera 1080pbuild-php: Time To Compilemnn: MobileNetV2_224tensorflow-lite: NASNet Mobiledav1d: Summer Nature 4Kmnn: resnet-v2-50ncnn: CPU - efficientnet-b0dacapobench: Tradesoapnumenta-nab: Bayesian Changepointrodinia: OpenMP Leukocyteneat: ncnn: CPU-v2-v2 - mobilenet-v2libraw: Post-Processing Benchmarkncnn: CPU - squeezenetcompress-zstd: 19aom-av1: Speed 8 Realtimecompress-zstd: 3aom-av1: Speed 4 Two-Passplaidml: No - Inference - ResNet 50 - CPUplaidml: No - Inference - Inception V3 - CPUncnn: CPU - yolov4-tinyncnn: CPU - resnet50tungsten: Water Causticaom-av1: Speed 6 Two-Passncnn: CPU-v3-v3 - mobilenet-v3build-gdb: Time To Compileaom-av1: Speed 6 Realtimewireguard: plaidml: No - Inference - Mobilenet - CPUperl-benchmark: Pod2htmlradiance: Serialbasis: UASTC Level 0numpy: dacapobench: Jythonbuild-apache: Time To Compilepyperformance: raytracencnn: CPU - googlenetradiance: SMP Parallelmafft: Multiple Sequence Alignment - LSU RNAvpxenc: Speed 5scimark2: Compositesqlite-speedtest: Timed Time - Size 1,000pyperformance: nbodyvpxenc: Speed 0inkscape: SVG Files To PNGgimp: resizetjbench: Decompression Throughputcrafty: Elapsed Timeastcenc: Mediumselenium: ARES-6 - Google Chromebasis: ETC1Sselenium: Speedometer - Google Chromeselenium: StyleBench - Google Chromemrbayes: Primate Phylogeny Analysisfhourstones: Complex Connect-4 Solvinggraphics-magick: Rotatepolyhedron: proteinmocassin: Dust 2D tau100.0pyperformance: pathliblibreoffice: 20 Documents To PDFdav1d: Chimera 1080p 10-bithint: FLOATpyperformance: regex_compileselenium: Jetstream 2 - Google Chromemontage: Mosaic of M17, K band, 1.5 deg x 1.5 degrodinia: OpenMP HotSpot3Drawtherapee: Total Benchmark Timeselenium: Kraken - Google Chromepyperformance: python_startuppybench: Total For Average Test Timesselenium: WASM collisionDetection - Firefoxwebp: Quality 100, Losslessencode-mp3: WAV To MP3espeak: Text-To-Speech Synthesisavifenc: 8caffe: AlexNet - CPU - 200webp: Quality 100, Highest Compressionperl-benchmark: Interpreteroctave-benchmark: blosc: blosclzencode-flac: WAV To FLACdacapobench: H2gimp: rotatetesseract-ocr: Time To OCR 7 Imageswebp: Quality 100avifenc: 10cloverleaf: Lagrangian-Eulerian Hydrodynamicswebp: Defaultffte: N=256, 3D Complex FFT Routinedolfyn: Computational Fluid Dynamicsctx-clock: Context Switch Timecaffe: GoogleNet - CPU - 200byte: Dhrystone 2gimp: auto-levelsgmic: Plotting Isosurface Of A 3D Volume, 1000 Timeswebp: Quality 100, Lossless, Highest Compressionncnn: CPU - resnet18gegl: Scalepolyhedron: airscimark2: Monte Carlornnoise: selenium: WASM collisionDetection - Google Chromegegl: Color Enhanceselenium: Jetstream 2 - Firefoxgegl: Rotate 90 Degreesgegl: Cropselenium: Kraken - Firefoxgegl: Antialiasselenium: WASM imageConvolute - Google Chromegegl: Reflectmlpack: scikit_svmselenium: WASM imageConvolute - Firefoxbotan: Twofishdeepspeech: CPUbotan: Blowfishtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1botan: CAST-256selenium: Maze Solver - Firefoxselenium: Maze Solver - Google Chromemlpack: scikit_qdaCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X2.74089125302.4545.459677529985506.565477.656.878.71910344.9201.281.282.112.10114.362038.21302214821959.794610149818.7598.5744112613.931084.834.04108.06321.37912.3370417.526288.9915022294478120.6398198.112306.480196530794.336472.70714.20412.232210.0729631.261.40306.9020.8580.07747.82738.018.8998411.471.2616.12203.69393806316.675.29320248143508232.0855959.33912.5664.944894.601739106.42929635428.48635.6785807.290152.56320540470.339511.74159641.3994189775.14122.76305.7662691.2952.64282.58094514.479.1043.820.84224.80035.43338.4705.65114.129265.78106.40929.49818.7963.899154.53550.5266.2563.401236704143.2632.4756.83397744.937131.40319.6795.3336.9416.1737.245.813633.42.616.487.8827.7929.2029.79534.174.41110.03021.70174.71814.480.10063976611.6397.595413.80367621.47937314.92192.568.75028.66741.2249.05498.77.8820.8647.926223.57064891961549.4517.0552.40813536.8068.83415846.186212.3520715.26.568102.72481073602.70390140153.24070.28391.89860.928757.06.93820450.815.4527.39726.7725.434895846.3870.000732816.19010868.27.587277810.81820.3462.1155.1024.041.37434083.36861457017.13117823168347964784.211.20317.34833.15514.895.6392165.1022.370368.444252.527106.60335.0957.681745.534.12329.417727.03522.3829.0420.58364.06862523.673294.966278.408165.6385.45.169.015.30324045909.6542.9625313313339817.089817.4011.104.78766214.0881.931.933.343.29192.753712.323591157277017.704118381010.35315.4247197656.801176.076.9659.60638.23320.4299706.153162.992694039245965.9835109.474170.152357268133.285624.3207.9057.0072817.6307352.162.46170.2135.2546.53829.03821.315.1460319.572.2128.39114.70213959329.368.70111423023729301.2360733.73118.8157.167552.127126463.94616759518.34320.0703506.57393.11311761944.869299.90506925.17764772126.19186.01178.1240350.7812.28166.40925818.3129.6469.900.97716.99024.73829.4274.3318.099390.0071.85919.83716.4142.772210.08785.8747.7932.823147694183.5425.3105.89288433.14082.98214.2345.0641.5014.0430.349.042922.32.927.389.2125.0024.2823.58224.654.0087.42925.67176.73917.060.09765781588.1616.371451.53331918.04035313.28183.2528.70230.34829.3046.56493.08.0819.8576.804237.256549100874186.8015.8243.30113835.263.63017624.894511.6416614.36.289131.94511718743.40279134163.67866.37183.89153.667754.96.74773419.115.0846.96625.3024.538753136.0240.000702285.89710815.87.173274710.40419.1742.0094.3795.641.29425630.00504896416.39815019607452005432.910.44216.04731.12013.565.3111.99179.1621.061340.681849.231113.69032.3557.461709.431.72927.752725.45020.3626.8446.45378.01743556.852282.645261.564176.0745.55.062.640.9337039919.79412.68674025722518.632515.452.6818.9968722.3950.570.570.850.8567.421157.091134915205.98126851621.6266.408887282.91404.712.97104.79613.4217.1159285.889366.4111917002246153.1003231.832362.2631623851910.44481.75217.03116.83677.3993765.161.14337.7014.7493.85962.74442.1712.42718.111.1011.81254.58383467712.134.03519579342383773.4520974.1508.30145.40095.463600142.56128875531.78440.59021114.219209.26820920491.675590.15968348.5603142957.5875.58342.0430831.8064.4315.82822810.856.0231.370.46933.50548.65371.56911.52517.548200.98135.73840.08131.6881.88292.99316.1191.4146.60624809299.8658.15411.71635749.371154.75822.7528.8426.2826.9021.625.993204.61.705.666.3542.5147.0437.56152.747.65157.40813.58281.74012.570.15978746788.8769.703299.09562631.45662723.09243.89413.23917.34494.9973.9281565.4331.69910.864164.17185567184037.0925.1962.72997.9526.2897.13211869.662315.6127921.38.54280.09322438360.17101204114.18494.120104.31274.654953.110.31159468.820.2298.81233.3766.6431174708.2900.001008307.9279570.99.748406114.22029.1442.6216.2524.531.72831041.65173914919.28220429368337514301.814.81223.41540.30419.666.7691.82131.7821.193360.747065.31181.60444.1229.623940.043.24834.082334.08721.8233.2343.93476.08807420.788300.338278.618137.6935.2575.340.98060110871.19911.88454430082742.772728.143.1217.5858658.7000.630.620.950.9575.141288.71021511254686.51247530219.4267.028394993.19431.563.2793.98814.7387.5856305.104334.4113118868750148.7461212.242330.161181459309.610051.91615.45915.22257.9965695.981.26306.3216.1784.72557.54738.3911.29848.901.2213.02230.28344683713.394.57617533238186403.1610467.3299.10132.88286.816638130.23225872630.49936.95681024.461193.62418804583.974539.89491743.9273352662.2081.38317.666451.5914.34289.14426211.561.8134.630.50430.37545.13366.45710.64715.753201.06124.21036.48529.3874.50599.99335.7484.4706.129222099105.8152.97410.63597844.807141.01820.8828.0528.6825.3822.129.813309.91.855.986.8239.3443.7734.88322.987.10137.79914.84264.86513.230.14829577737.3768.954318.91523228.52758221.21233.40412.58619.30528.1169.1071425.8928.4929.668176.66064772212796.4423.2957.806106.029.087.26913100.065714.5125319.97.87986.48344830613.40160189125.79788.00799.30768.606878.48.711062438.518.7608.21330.8286.1531083447.7530.000884597.5209986.49.124355912.83826.8202.4425.8204.541.61532899.68780064618.02918026911340472566.013.45321.76438.03018.406.2001.7140.7620.035334.703360.68689.86940.6758.737856.839.74632.345831.52420.1530.8370.25669.06352455.947282.943260.659148.8565.04.672.472.28521122344.1486.590167240835795.795700.856.369.02336318.3391.291.281.681.6894.031806.41048113278388.30259392918.0128.6544114094.501003.694.5990.22718.5129.5120420.457271.3815721747154117.5552180.782309.606208717715.736872.46513.51713.51149.6303596.321.42274.1922.8473.82543.90034.3710.437812.751.3317.89205.38335669318.365.26617130137131072.8699558.72811.7071.456382.441760100.40425119927.16033.1689748.564150.81317573665.266470.17801238.6674385577.19109.32291.0110231.3403.13265.41986218.985.5748.140.73324.81033.44736.0236.56213.982306.45101.96830.14918.8361.339134.25438.4964.4123.960213644145.1930.2577.36439536.341127.40218.0485.6439.0217.882738.204561.32.566.598.9429.7931.6030.48133.975.08109.63619.26197.37414.760.11643247549.0217.620415.99421522.72542717.03172.48411.42425.99716.7557.3001057.6923.8788.236221.21979989120189.6018.9751.351136.535.3369.25315263.775412.1423316.16.48197.93390856008.08384158148.97672.08687.08663.409721.37.53888367.715.6187.06727.4805.322975876.9160.000735486.57311552.07.695309011.13022.6152.1894.9704.901.43434238.23108666016.15419023790843647479.311.59018.65832.53017.575.5281.63159.3918.260285.664255.211105.77038.5528.026737.236.75227.89929.67019.1027.0390.47157.69822480.701257.797240.275157.4654.44.266.253.00462330745.6054.488769915997134.907092.347.656.86557262.9991.561.521.941.94128.782490.614494140183211.048213182712.99911.5679154225.961010.576.0765.34028.00412.4007545.543200.062152915807787.9410133.841226.995278084416.236463.3479.8479.8793012.5210433.371.93199.8730.1354.96733.92825.137.5834316.951.8025.54150.76235149726.206.88012073526008402.1171142.76712.4864.020160.023103176.68518020222.29024.3744586.162113.80012348251.240349.39828829.3225637098.32119.86214.5107591.0073.12199.4298321.9112.9060.100.82319.00627.96532.4586.0349.625262.4880.88424.02717.0848.524149.99514.3254.1443.375156768171.1729.5327.01366332.717118.73514.9685.5541.7616.2932.338.594265.92.716.929.7928.0328.4725.88014.204.8399.06219.47183.71615.650.11018877529.7046.797432.12396521.20340616.05167.35611.01826.99732.7553.9771008.0823.7787.673232.68621788052877.9818.0645.826143.236.566.90516160.179411.5421115.26.207105.06406360022.76109150155.61769.19380.93857.837686.97.19871347.715.0366.65826.0774.733961296.5670.000699966.48411505.57.340290810.81121.7512.0994.4565.061.36737466.48217003915.38215623444044883700.911.23917.76731.20416.925.2381.55168.2417.337270.447252.447107.56036.4607.757708.134.73826.459528.35518.4325.4411.26761.24351499.691246.791231.374168.0454.34.266.464.16796542773.9743.2643713666679097.749125.6911.045.08460232.6572.102.072.782.78177.753489.820244137697214.95941837449.24515.6590209107.371000.227.5146.74035.94716.5255670.094146.602983883687373.9702103.713164.705381243113.800314.4117.0927.4219516.8430317.032.64145.0936.0841.27425.76718.395.8092320.642.4027.34111.61179501328.139.26293903.619990701.5448831.53419.3751.423842.894143257.90713810113.59717.9331446.17986.30196280.240.482267.06675522.87876909136.32180.89161.5138650.8423.2160.12771224.7117.5662.501.13316.25823.22131.5477.2348.613310.8668.18421.02716.4941.110202.63586.7846.7853.988140368197.6233.0746.61338928.13488.58913.4775.4043.1915.9538.738.034499.82.687.1410.5928.9027.8224.11024.164.7594.92519.82196.11716.400.11095995546.8886.715409.49399020.91942817.38171.7938.90725.83717.4255.7841037.7324.2137.491229.31308792680707.0718.5644.349140.236.272.74415451.076612.2321115.86.506110.59401445819.03219158151.42371.62181.10454.341715.38.12888369.615.2587.08126.8074.6161073566.8040.000749996.75511595.27.579313011.14523.0662.1754.3953.891.41436851.90158284816.12819026273844081890.711.91618.19632.01216.705.5501.6159.9618.522280.247754.672105.14137.4598.057745.936.78228.499229.46518.7926.7403.65165.37162492.735256.339235.518162.6474.44.267.794.23653443919.3073.1530414136678760.848748.7910.465.25366220.2151.971.992.622.61182.973551.020729138520615.28731885229.06816.0926215177.561019.657.7145.82036.59216.8323684.390141.233014008230960.1191100.553159.413389153954.813804.4936.9447.2496016.9900303.722.73140.2736.8740.66625.06317.815.7933821.162.5027.66106.80176101028.569.48792214.219619401.4952630.58019.6556.227442.030141556.77613560213.29417.3795432.30283.18994517.039.518259.32907722.63177550139.09180.29156.5301110.8053.22155.82342225.1119.0763.261.13616.02622.76632.4847.2358.187371.2967.30320.55516.5040.427198.20585.4746.2714.022139014197.6433.4686.62334826.85586.78613.2265.3943.5916.3938.938.324483.52.717.0310.6128.6827.6623.82694.184.7594.03319.64194.85116.380.11338212526.4576.760425.55396320.67441317.31170.0838.97325.64743.5756.7731017.8023.7767.381221.00297090715287.0418.3843.549142.436.369.94115572.872612.1220515.46.355110.90385672695.95056153152.93168.88879.75653.509705.88.01866360.714.8556.96426.7114.5861058036.5550.000753646.59511473.97.538305011.11623.0032.0884.3363.991.36535670.00872472315.63617725897244714220.611.87618.27032.57916.485.4561.57163.0517.406270.843253.688107.14637.1917.943714.935.98827.088029.06918.9026.2393.71765.57842488.014255.505236.447159.8344.44.268.165.47673358788.4702.47606186800012280.8512650.2412.894.29713207.1212.432.433.253.27236.584743.428096140725319.87462480776.70421.04402841610.261022.7310.4033.84043.33021.6635829.786107.974075292948446.372379.697120.533524073674.039265.3205.2005.6144021.8692230.943.64105.6345.9231.64820.77513.554.3847325.173.2936.2681.77128840737.1611.54166530.314324031.1499723.51023.0947.472231.326182947.35810052710.81913.5383364.32777.85268497.933.467208.35789218.30490071162.49200.83119.8571970.6973.03125.26033127.3145.9182.241.23614.73020.57636.9848.1627.276374.1959.39918.73117.1235.675217.13619.2142.3735.716117199201.9642.1297.10346025.65677.77712.2425.8244.5715.9739.538.904059.12.727.2211.1529.0829.9121.22634.185.1590.54719.47195.77916.850.11059513522.7356.365422.17394620.21441719.24169.1738.59125.37751.3555.0721027.8323.9177.289225.70937291954036.2718.5142.255141.836.470.24315875.879912.0319915.66.412113.75406108737.67552153152.15169.70279.92552.391700.58.10876362.215.6386.89426.6774.4531056176.7480.000768626.46911474.97.455325511.26522.7402.1614.3053.861.36938565.53131554615.56817526513144123395.712.25018.33332.30117.915.4991.59165.3617.238280.031854.089105.02037.2328.074731.036.63627.32429.18119.1326.9400.11963.23064501.990258.827240.335157.1204.54.369.647.43124961777.8532.72467184066710933.3310990.5411.914.71670179.8672.202.193.063.06233.833858.330214196007419.46792159257.20619.9229264208.471485.058.6037.54343.14820.4798873.702124.613304934871252.357980.393123.339456012553.003385.3156.1605.9566420.3789277.963.13121.9441.7033.79922.02315.414.6831023.742.9330.5695.02159801331.4710.71983458.717803801.2740827.41723.5448.410137.783161052.26812312712.17215.6794402.44270.61191290.434.155224.29356818.71589437158.81206.64142.6496260.6841.53134.44918628.3130.3069.631.28413.25319.52426.8816.1117.495495.7958.65017.19212.3635.206226.26661.3940.1153.058122229228.0627.0565.19283622.77072.56411.0164.1453.4212.9544.653.195879.83.3611.0812.4321.8124.2921.25325.263.9983.57625.30155.87623.200.08573340430.2365.426550.69306817.29334412.68134.2797.36531.12871.9341.53888.79.5118.3176.344281.149611114048386.0114.8137.39516744.856.99220018.510569.2817912.75.142128.47517301573.26234123188.91657.35566.74445.853589.96.38730291.412.6295.62121.3184.264783475.3400.000650215.19314645.46.44026569.32019.3751.7434.1383.731.15337925.62089345812.84014820067655937330.19.91515.96727.61613.324.5931.36189.6515.613253.650045.054117.13830.8836.747663.030.55924.236524.53316.4824.1461.36258.40233548.748227.294215.546173.7904.34.060.459.06539674570.4222.27610222600013580.7513518.2913.743.71587161.2232.472.453.623.61286.174897.338305197077623.78422670715.65524.27573256110.801501.0310.9429.54748.71225.58971025.44102.264205994351943.462666.152103.616567423503.209106.0634.9374.9661425.0722226.153.81101.2548.9928.25919.02012.853.7882726.593.5938.4378.28121223739.3713.09162588.713469571.0709823.01126.5045.735430.220189345.42194678.210.26713.1398361.16667.89967914.529.818192.18022315.96094779172.75220.35117.6690970.6271.54111.38978430.3155.8186.941.29012.23518.17126.7986.4486.764521.0552.75215.58212.6532.199234.14688.7037.3693.849106372231.4528.3785.25292522.19669.81010.3634.3754.9913.3044.252.944896.13.3811.2412.6122.6325.4819.47285.244.1682.46525.45149.62123.640.08659397426.535.252542.76306617.18934413.43135.2347.35030.81885.6042.68289.09.5018.5456.298281.528498115195675.6014.7536.778167.044.461.58020223.010429.2218012.75.126133.14535283139.77587123187.71957.71663.86246.340590.16.42718297.712.7645.56221.4644.258809245.3340.000649735.18014032.56.37327129.43119.3491.7294.1333.851.14536137.49367756112.82013621423956105538.110.31415.74427.27114.624.6411.36192.1215.372254.152245.045117.72130.8516.842673.130.73824.573824.66816.1724.1465.90259.64680550.628228.342213.838177.0134.4462.55OpenBenchmarking.org

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.129211, N = 3SE +/- 0.081541, N = 3SE +/- 0.064485, N = 15SE +/- 0.042599, N = 3SE +/- 0.056961, N = 3SE +/- 0.046914, N = 7SE +/- 0.031737, N = 8SE +/- 0.010830, N = 3SE +/- 0.031404, N = 3SE +/- 0.012114, N = 4SE +/- 0.005947, N = 39.0653967.4312495.4767335.3032404.2365344.1679653.0046232.7408912.2852110.9806010.9337031. (CC) gcc options: -O3 -march=native -fopenmp

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260016K32K48K64K80KSE +/- 44.40, N = 3SE +/- 55.59, N = 3SE +/- 24.81, N = 3SE +/- 14.95, N = 3SE +/- 14.11, N = 3SE +/- 45.94, N = 3SE +/- 22.25, N = 3SE +/- 7.26, N = 3SE +/- 13.11, N = 3SE +/- 7.18, N = 3SE +/- 7.25, N = 374570.4261777.8558788.4745909.6543919.3142773.9730745.6125302.4522344.1510871.209919.791. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.00617, N = 3SE +/- 0.00820, N = 3SE +/- 0.00462, N = 3SE +/- 0.01117, N = 3SE +/- 0.00634, N = 3SE +/- 0.03302, N = 3SE +/- 0.06515, N = 15SE +/- 0.02430, N = 3SE +/- 0.02579, N = 3SE +/- 0.11026, N = 10SE +/- 0.19687, N = 32.276102.476062.724672.962533.153043.264374.488765.459676.5901611.8845012.68670MIN: 2.2MIN: 2.42MIN: 2.66MIN: 2.92MIN: 3.08MIN: 3.14MIN: 4.22MIN: 5.25MIN: 6.32MIN: 11.22MIN: 12.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600500K1000K1500K2000K2500KSE +/- 577.35, N = 3SE +/- 9609.02, N = 3SE +/- 2027.59, N = 3SE +/- 1666.67, N = 3SE +/- 1201.85, N = 3SE +/- 10837.18, N = 3SE +/- 1317.78, N = 3SE +/- 620.08, N = 3SE +/- 390.65, N = 3SE +/- 64.00, N = 3SE +/- 543.95, N = 3222600018680001840667141366713666671331333991599752998724083443008402572-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 FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26003K6K9K12K15KSE +/- 16.60, N = 3SE +/- 122.60, N = 3SE +/- 11.51, N = 3SE +/- 17.62, N = 3SE +/- 41.23, N = 3SE +/- 36.37, N = 3SE +/- 17.51, N = 3SE +/- 10.70, N = 3SE +/- 15.37, N = 3SE +/- 4.78, N = 3SE +/- 2.54, N = 313580.7512280.8510933.339817.089097.748760.847134.905795.795506.562742.772518.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26003K6K9K12K15KSE +/- 14.40, N = 3SE +/- 34.34, N = 3SE +/- 8.30, N = 3SE +/- 69.83, N = 3SE +/- 28.66, N = 3SE +/- 3.76, N = 3SE +/- 38.82, N = 3SE +/- 26.31, N = 3SE +/- 16.16, N = 3SE +/- 2.00, N = 3SE +/- 2.99, N = 313518.2912650.2410990.549817.409125.698748.797092.345700.855477.652728.142515.451. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260048121620SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 313.7412.8911.9111.1011.0410.467.656.876.363.122.68

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600510152025SE +/- 0.00365, N = 3SE +/- 0.00337, N = 3SE +/- 0.01329, N = 3SE +/- 0.00812, N = 3SE +/- 0.00218, N = 3SE +/- 0.01077, N = 3SE +/- 0.02969, N = 3SE +/- 0.10039, N = 3SE +/- 0.11188, N = 3SE +/- 0.09746, N = 3SE +/- 0.05307, N = 33.715874.297134.716704.787665.084605.253666.865578.719109.0233617.5858018.99680MIN: 3.65MIN: 4.2MIN: 4.35MIN: 4.68MIN: 5.02MIN: 5.14MIN: 6.67MIN: 8.56MIN: 8.56MIN: 16.17MIN: 17.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600160320480640800SE +/- 0.55, N = 3SE +/- 0.56, N = 3SE +/- 1.14, N = 3SE +/- 2.01, N = 3SE +/- 0.37, N = 3SE +/- 1.41, N = 3SE +/- 0.55, N = 3SE +/- 1.94, N = 3SE +/- 1.39, N = 3SE +/- 0.57, N = 3SE +/- 1.93, N = 3161.22179.87207.12214.09220.22232.66263.00318.34344.92658.70722.40MIN: 159.59MIN: 178.58MIN: 203.26MIN: 206.29MIN: 218.35MIN: 229.79MIN: 260.82MIN: 312.42MIN: 339.7MIN: 654.48MIN: 718.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26000.55581.11161.66742.22322.779SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.472.432.202.101.971.931.561.291.280.630.571. (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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26000.55131.10261.65392.20522.7565SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, 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 = 32.452.432.192.071.991.931.521.281.280.620.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURyzen 9 5950XCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 26000.81451.6292.44353.2584.0725SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.623.343.253.062.782.622.111.941.680.950.851. (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 5950XCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 26000.81231.62462.43693.24924.0615SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.613.293.273.062.782.612.101.941.680.950.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260060120180240300SE +/- 0.05, N = 3SE +/- 0.73, N = 3SE +/- 1.28, N = 3SE +/- 0.35, N = 3SE +/- 0.49, N = 3SE +/- 0.24, N = 3SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.17, N = 3286.17236.58233.83192.75182.97177.75128.78114.3694.0375.1467.42MIN: 1 / MAX: 1102MIN: 1 / MAX: 853MIN: 1 / MAX: 918MIN: 1 / MAX: 767MIN: 1 / MAX: 652MIN: 1 / MAX: 634MIN: 1 / MAX: 463MIN: 1 / MAX: 458MIN: 1 / MAX: 339MIN: 1 / MAX: 251MIN: 1 / MAX: 225

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260010002000300040005000SE +/- 5.73, N = 3SE +/- 0.54, N = 3SE +/- 0.46, N = 3SE +/- 13.38, N = 3SE +/- 2.69, N = 3SE +/- 1.56, N = 3SE +/- 0.77, N = 3SE +/- 6.82, N = 3SE +/- 0.12, N = 3SE +/- 1.43, N = 3SE +/- 0.28, N = 34897.34743.43858.33712.33551.03489.82490.62038.21806.41288.71157.01. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26008K16K24K32K40KSE +/- 100.07, N = 3SE +/- 53.48, N = 3SE +/- 35.59, N = 3SE +/- 35.89, N = 3SE +/- 62.78, N = 3SE +/- 49.65, N = 3SE +/- 22.65, N = 3SE +/- 1.20, N = 3SE +/- 8.45, N = 3SE +/- 9.54, N = 3SE +/- 13.53, N = 3383053021428096235912072920244144941302210481102159113-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

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 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 2600400K800K1200K1600K2000KSE +/- 21208.90, N = 5SE +/- 2205.85, N = 5SE +/- 2615.51, N = 5SE +/- 2392.41, N = 5SE +/- 4368.74, N = 5SE +/- 11294.71, N = 5SE +/- 9606.45, N = 18SE +/- 3070.42, N = 5SE +/- 2742.19, N = 5SE +/- 3891.87, N = 5SE +/- 26659.00, N = 2519707761960074157277014821951407253140183213852061376972132783811254684915201. (CC) gcc options: -O3 -march=native

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.1054, N = 3SE +/- 0.1561, N = 3SE +/- 0.0395, N = 3SE +/- 0.0304, N = 3SE +/- 0.0220, N = 3SE +/- 0.0177, N = 3SE +/- 0.0316, N = 3SE +/- 0.1152, N = 3SE +/- 0.0234, N = 3SE +/- 0.0174, N = 3SE +/- 0.0129, N = 323.784219.874619.467917.704115.287314.959411.04829.79468.30256.51245.9812MIN: 23.34 / MAX: 24.54MIN: 19.42 / MAX: 20.41MIN: 19.24 / MAX: 19.87MIN: 17.49 / MAX: 18.13MIN: 15.12 / MAX: 15.64MIN: 14.82 / MAX: 15.29MIN: 10.81 / MAX: 11.32MIN: 9.48 / MAX: 10.12MIN: 8.23 / MAX: 8.46MIN: 6.45 / MAX: 6.62MIN: 5.94 / MAX: 6.09

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTCore i9 10900KRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260060K120K180K240K300K267071248077215925188522183810183744131827101498939297530268516-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

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600510152025SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.014, N = 3SE +/- 0.012, N = 3SE +/- 0.002, N = 3SE +/- 0.015, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.018, N = 3SE +/- 0.031, N = 35.6556.7047.2069.0689.24510.35312.99918.01218.75919.42621.6261. (CC) gcc options: -static -fopenmp -O3 -march=native

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.1569, N = 3SE +/- 0.0376, N = 3SE +/- 0.1287, N = 3SE +/- 0.0477, N = 3SE +/- 0.0537, N = 3SE +/- 0.0182, N = 3SE +/- 0.0479, N = 3SE +/- 0.0259, N = 3SE +/- 0.0261, N = 3SE +/- 0.0168, N = 3SE +/- 0.0595, N = 324.275721.044019.922916.092615.659015.424711.56798.65448.57447.02836.4088MIN: 23.87 / MAX: 25.12MIN: 20.83 / MAX: 21.49MIN: 19.53 / MAX: 20.41MIN: 15.89 / MAX: 16.56MIN: 15.48 / MAX: 16.06MIN: 14.96 / MAX: 15.79MIN: 11.44 / MAX: 11.85MIN: 8.58 / MAX: 8.85MIN: 8.48 / MAX: 8.74MIN: 6.98 / MAX: 7.15MIN: 6.07 / MAX: 6.56

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26007K14K21K28K35KSE +/- 90.96, N = 3SE +/- 105.68, N = 3SE +/- 55.57, N = 3SE +/- 54.08, N = 3SE +/- 51.29, N = 3SE +/- 95.40, N = 3SE +/- 50.98, N = 3SE +/- 45.92, N = 3SE +/- 22.70, N = 3SE +/- 17.53, N = 3SE +/- 19.88, N = 332561284162642021517209101976515422114091126194998728

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26003691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, 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 +/- 0.00, N = 3SE +/- 0.00, N = 310.8010.268.477.567.376.805.964.503.933.192.911. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XRyzen 5 2600XRyzen 5 260030060090012001500SE +/- 3.97, N = 3SE +/- 2.29, N = 3SE +/- 11.39, N = 3SE +/- 0.29, N = 3SE +/- 11.92, N = 3SE +/- 11.76, N = 3SE +/- 26.41, N = 3SE +/- 7.05, N = 3SE +/- 6.22, N = 3SE +/- 1.56, N = 3SE +/- 2.19, N = 31501.031485.051176.071084.831022.731019.651010.571003.691000.22431.56404.711. (CC) gcc options: -lm

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26003691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, 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 = 3SE +/- 0.00, N = 310.9410.408.607.717.516.966.074.594.043.272.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K20406080100SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 329.5533.8437.5445.8246.7459.6165.3490.2393.99104.80108.061. (CXX) g++ options: -fopenmp -O2 -march=native

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26001122334455SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 348.7143.3343.1538.2336.5935.9528.0021.3818.5114.7413.421. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.1286, N = 3SE +/- 0.1616, N = 3SE +/- 0.0158, N = 3SE +/- 0.0173, N = 3SE +/- 0.0456, N = 3SE +/- 0.1843, N = 3SE +/- 0.0774, N = 3SE +/- 0.0502, N = 3SE +/- 0.0507, N = 3SE +/- 0.0101, N = 3SE +/- 0.0210, N = 325.589721.663520.479820.429916.832316.525512.400712.33709.51207.58567.1159MIN: 25.22 / MAX: 26.09MIN: 21.35 / MAX: 22.34MIN: 20.33 / MAX: 20.81MIN: 20.28 / MAX: 20.88MIN: 16.65 / MAX: 17.13MIN: 15.44 / MAX: 17.03MIN: 12.25 / MAX: 12.74MIN: 12.23 / MAX: 12.58MIN: 9.4 / MAX: 9.74MIN: 7.54 / MAX: 7.69MIN: 7.05 / MAX: 7.23

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26002004006008001000SE +/- 4.72, N = 3SE +/- 2.01, N = 3SE +/- 1.05, N = 3SE +/- 1.29, N = 3SE +/- 1.39, N = 3SE +/- 0.83, N = 3SE +/- 1.57, N = 3SE +/- 0.23, N = 3SE +/- 0.45, N = 3SE +/- 0.07, N = 3SE +/- 0.27, N = 31025.44873.70829.79706.15684.39670.09545.54420.46417.53305.10285.891. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260080160240320400SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.98, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.45, N = 3SE +/- 0.18, N = 3SE +/- 0.46, N = 3102.26107.97124.61141.23146.60162.99200.06271.38288.99334.41366.41

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260090180270360450SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 34204073303012982692151571501311191. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260013M26M39M52M65MSE +/- 122568.73, N = 3SE +/- 711272.98, N = 4SE +/- 623050.05, N = 3SE +/- 439150.46, N = 3SE +/- 457800.10, N = 3SE +/- 139565.35, N = 3SE +/- 148329.91, N = 3SE +/- 67429.43, N = 3SE +/- 31310.34, N = 3SE +/- 225356.28, N = 3SE +/- 127286.07, N = 35994351952929484493487124039245940082309388368732915807722294478217471541886875017002246

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTCore i9 10900KRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600306090120150SE +/- 0.10, N = 3SE +/- 0.47, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 1.12, N = 3SE +/- 0.87, N = 3SE +/- 0.13, N = 3SE +/- 1.56, N = 4SE +/- 3.50, N = 12SE +/- 2.15, N = 343.4646.3752.3660.1265.9873.9787.94117.56120.64148.75153.101. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260050100150200250SE +/- 0.16, N = 3SE +/- 0.49, N = 3SE +/- 0.08, N = 3SE +/- 0.56, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3SE +/- 0.22, N = 3SE +/- 1.12, N = 3SE +/- 0.49, N = 3SE +/- 1.04, N = 366.1579.7080.39100.55103.71109.47133.84180.78198.11212.24231.831. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260080160240320400SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.41, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.85, N = 3SE +/- 0.27, N = 3SE +/- 0.79, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3103.62120.53123.34159.41164.71170.15227.00306.48309.61330.16362.261. (CXX) g++ options: -O2 -lOpenCL

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260012M24M36M48M60MSE +/- 325858.19, N = 3SE +/- 127032.63, N = 3SE +/- 241698.18, N = 3SE +/- 140100.66, N = 3SE +/- 69587.97, N = 3SE +/- 66368.72, N = 3SE +/- 154542.53, N = 3SE +/- 72350.39, N = 3SE +/- 21979.47, N = 3SE +/- 72351.59, N = 3SE +/- 72737.67, N = 356742350524073674560125538915395381243113572681327808441208717711965307918145930162385191. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

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 5900XRyzen 9 5950XCore i9 10900KRyzen 9 3900XRyzen 9 3950XCore i5 10600KRyzen 9 3900XTRyzen 5 3600XRyzen 7 3800XTRyzen 5 2600XRyzen 5 26003691215SE +/- 0.01689, N = 3SE +/- 0.00620, N = 3SE +/- 0.01927, N = 3SE +/- 0.04241, N = 7SE +/- 0.03194, N = 3SE +/- 0.01019, N = 3SE +/- 0.01604, N = 3SE +/- 0.04407, N = 15SE +/- 0.06254, N = 15SE +/- 0.01059, N = 3SE +/- 0.01746, N = 33.003383.209103.285623.800314.039264.336474.813805.736876.236469.6100510.44480MIN: 2.77MIN: 3.05MIN: 3.02MIN: 3.45MIN: 3.77MIN: 4.21MIN: 4.58MIN: 5.47MIN: 5.63MIN: 9.21MIN: 10.221. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600246810SE +/- 0.020, N = 3SE +/- 0.013, N = 3SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.011, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 36.0635.3205.3154.4934.4114.3203.3472.7072.4651.9161.7521. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260048121620SE +/- 0.022, N = 3SE +/- 0.003, N = 3SE +/- 0.019, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.013, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.057, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 34.9375.2006.1606.9447.0927.9059.84713.51714.20415.45917.0311. (CXX) g++ options: -fopenmp -O3

Tungsten Renderer

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260048121620SE +/- 0.00440, N = 3SE +/- 0.00557, N = 3SE +/- 0.01483, N = 3SE +/- 0.01244, N = 3SE +/- 0.01628, N = 3SE +/- 0.01161, N = 3SE +/- 0.02615, N = 3SE +/- 0.00733, N = 3SE +/- 0.02071, N = 3SE +/- 0.03970, N = 3SE +/- 0.04612, N = 34.966145.614405.956647.007287.249607.421959.8793012.2322013.5114015.2225016.83670-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=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 -mbmi21. (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

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.1295, N = 3SE +/- 0.1585, N = 3SE +/- 0.0945, N = 3SE +/- 0.1053, N = 3SE +/- 0.0456, N = 3SE +/- 0.1165, N = 3SE +/- 0.0407, N = 3SE +/- 0.0117, N = 3SE +/- 0.0493, N = 3SE +/- 0.0569, N = 3SE +/- 0.0269, N = 325.072221.869220.378917.630716.990016.843012.521010.07299.63037.99657.3993MIN: 24.83 / MAX: 25.95MIN: 21.44 / MAX: 22.58MIN: 20.06 / MAX: 20.8MIN: 17.35 / MAX: 18.02MIN: 16.82 / MAX: 17.33MIN: 16.53 / MAX: 17.33MIN: 12.41 / MAX: 12.79MIN: 10.02 / MAX: 10.19MIN: 9.54 / MAX: 9.84MIN: 7.89 / MAX: 8.21MIN: 7.33 / MAX: 7.55

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600160320480640800SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.31, N = 3SE +/- 0.24, N = 3SE +/- 0.42, N = 3SE +/- 0.66, N = 3SE +/- 0.22, N = 3SE +/- 0.62, N = 3SE +/- 1.21, N = 3SE +/- 1.30, N = 3SE +/- 0.96, N = 3226.15230.94277.96303.72317.03352.16433.37596.32631.26695.98765.16

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26000.85731.71462.57193.42924.2865SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.813.643.132.732.642.461.931.421.401.261.14MIN: 3.73 / MAX: 3.9MIN: 3.55 / MAX: 3.67MIN: 3.07 / MAX: 3.18MIN: 2.68 / MAX: 2.76MIN: 2.59 / MAX: 2.68MIN: 2.39 / MAX: 2.52MIN: 1.89 / MAX: 1.98MIN: 1.38 / MAX: 1.47MIN: 1.37 / MAX: 1.45MIN: 1.22 / MAX: 1.32MIN: 1.11 / MAX: 1.2

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XCore i5 10600KRyzen 5 260070140210280350SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 3101.25105.63121.94140.27145.09170.21199.87274.19306.32306.90337.701. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26001122334455SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 348.9945.9241.7036.8736.0835.2530.1322.8420.8516.1714.741. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Ryzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260020406080100SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 328.2631.6533.8040.6741.2746.5454.9773.8380.0884.7393.861. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26001428425670SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 319.0220.7822.0225.0625.7729.0433.9343.9047.8357.5562.74

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26001020304050SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 312.8513.5515.4117.8118.3921.3125.1334.3738.0138.3942.171. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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: Non-ExponentialRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.00273, N = 3SE +/- 0.00924, N = 3SE +/- 0.01327, N = 3SE +/- 0.01251, N = 3SE +/- 0.08565, N = 14SE +/- 0.00415, N = 3SE +/- 0.01889, N = 3SE +/- 0.01150, N = 3SE +/- 0.02845, N = 3SE +/- 0.03677, N = 3SE +/- 0.03130, N = 33.788274.384734.683105.146035.793385.809237.583438.8998410.4378011.2984012.42710-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=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 -mbmi21. (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

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 326.5925.1723.7421.1620.6419.5716.9512.7511.478.908.111. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26000.80781.61562.42343.23124.039SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.593.292.932.502.402.211.801.331.261.221.10MIN: 3.43 / MAX: 3.83MIN: 3.15 / MAX: 3.44MIN: 2.79 / MAX: 3.06MIN: 2.39 / MAX: 2.58MIN: 2.29 / MAX: 2.49MIN: 2.12 / MAX: 2.33MIN: 1.72 / MAX: 1.86MIN: 1.26 / MAX: 1.37MIN: 1.22 / MAX: 1.28MIN: 1.17 / MAX: 1.23MIN: 1.06 / MAX: 1.11

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600918273645SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 338.4336.2630.5628.3927.6627.3425.5417.8916.1213.0211.811. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260060120180240300SE +/- 0.10, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.32, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.67, N = 3SE +/- 0.48, N = 3SE +/- 0.71, N = 378.2881.7795.02106.80111.61114.70150.76203.69205.38230.28254.58

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K800K1600K2400K3200K4000KSE +/- 427.88, N = 3SE +/- 289.04, N = 3SE +/- 569.48, N = 3SE +/- 568.71, N = 3SE +/- 594.04, N = 3SE +/- 151.69, N = 3SE +/- 651.16, N = 3SE +/- 752.71, N = 3SE +/- 453.22, N = 3SE +/- 5186.93, N = 3SE +/- 2574.96, N = 312122371288407159801317610101795013213959323514973356693344683738346773938063

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600918273645SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 339.3737.1631.4729.3628.5628.1326.2018.3616.6713.3912.131. (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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.065, N = 3SE +/- 0.251, N = 15SE +/- 0.117, N = 3SE +/- 0.144, N = 3SE +/- 0.087, N = 3SE +/- 0.035, N = 3SE +/- 0.073, N = 3SE +/- 0.018, N = 3SE +/- 0.012, N = 3SE +/- 0.039, N = 3SE +/- 0.032, N = 1513.09111.54110.7199.4879.2628.7016.8805.2935.2664.5764.0351. (CXX) g++ options: -O3 -pthread -lm

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K40K80K120K160K200KSE +/- 43.98, N = 3SE +/- 58.97, N = 3SE +/- 47.41, N = 3SE +/- 28.10, N = 3SE +/- 43.17, N = 3SE +/- 153.73, N = 3SE +/- 54.42, N = 3SE +/- 32.84, N = 3SE +/- 12.10, N = 3SE +/- 394.42, N = 3SE +/- 52.68, N = 362588.766530.383458.792214.293903.6114230.0120735.0171301.0175332.0195793.0202481.0

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ryzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K900K1800K2700K3600K4500KSE +/- 792.49, N = 3SE +/- 902.45, N = 3SE +/- 185.20, N = 3SE +/- 699.74, N = 3SE +/- 793.87, N = 3SE +/- 212.21, N = 3SE +/- 1145.44, N = 3SE +/- 2496.69, N = 3SE +/- 1831.95, N = 3SE +/- 5758.27, N = 3SE +/- 2267.19, N = 313469571432403178038019619401999070237293026008403713107381864042383774350823

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 5950XRyzen 9 3950XCore i9 10900KRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 26000.77671.55342.33013.10683.8835SE +/- 0.00545, N = 3SE +/- 0.00338, N = 3SE +/- 0.00955, N = 3SE +/- 0.00218, N = 3SE +/- 0.00173, N = 3SE +/- 0.00121, N = 3SE +/- 0.00373, N = 3SE +/- 0.00102, N = 3SE +/- 0.00119, N = 3SE +/- 0.00019, N = 3SE +/- 0.00108, N = 31.070981.149971.236071.274081.495261.544882.085592.117112.869953.161043.45209

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26001632486480SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 323.0123.5127.4230.5831.5333.7342.7758.7359.3467.3374.151. (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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 4SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 326.5023.5423.0919.6519.3718.8112.5612.4811.709.108.301. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600306090120150SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.50, N = 3SE +/- 2.13, N = 345.7447.4748.4151.4256.2357.1764.0264.9471.46132.88145.40MIN: 44.74MIN: 46.54MIN: 47.56MIN: 50.48MIN: 55.46MIN: 56.54MIN: 62.9MIN: 63.43MIN: 70MIN: 128.55MIN: 139.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XCore i5 10600KRyzen 5 260020406080100SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 330.2231.3337.7842.0342.8952.1360.0282.4486.8294.6095.461. (CC) gcc options: -lm -lpthread -O3

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600400800120016002000SE +/- 1.20, N = 3SE +/- 1.73, N = 3SE +/- 2.03, N = 3SE +/- 0.67, N = 3SE +/- 1.86, N = 3SE +/- 1.45, N = 3SE +/- 1.45, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 318931829161014321415126410317607396386001. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600306090120150SE +/- 0.64, N = 3SE +/- 0.56, N = 3SE +/- 0.47, N = 3SE +/- 0.60, N = 3SE +/- 0.50, N = 3SE +/- 0.50, N = 3SE +/- 0.51, N = 3SE +/- 0.56, N = 3SE +/- 0.71, N = 3SE +/- 0.64, N = 3SE +/- 0.83, N = 345.4247.3652.2756.7857.9163.9576.69100.40106.43130.23142.56

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: SqueezeNetRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K60K120K180K240K300KSE +/- 64.29, N = 3SE +/- 47.83, N = 3SE +/- 69.62, N = 3SE +/- 149.12, N = 3SE +/- 17.57, N = 3SE +/- 7.51, N = 3SE +/- 92.04, N = 3SE +/- 12.72, N = 3SE +/- 41.39, N = 3SE +/- 866.41, N = 3SE +/- 9.85, N = 394678.2100527.0123127.0135602.0138101.0167595.0180202.0251199.0258726.0288755.0296354.0

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 CFD SolverRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600714212835SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 310.2710.8212.1713.2913.6018.3422.2927.1628.4930.5031.781. (CXX) g++ options: -O2 -lOpenCL

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600918273645SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 313.1413.5415.6817.3817.9320.0724.3733.1735.6836.9640.59-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (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

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26002004006008001000SE +/- 4.08, N = 3SE +/- 4.14, N = 3SE +/- 1.43, N = 3SE +/- 2.72, N = 3SE +/- 3.29, N = 3SE +/- 2.33, N = 3SE +/- 0.22, N = 3SE +/- 1.66, N = 3SE +/- 0.78, N = 3SE +/- 3.63, N = 3SE +/- 3.27, N = 3361.17364.33402.44432.30446.18506.57586.16748.56807.291024.461114.22

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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260050100150200250SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.56, N = 3SE +/- 0.37, N = 3SE +/- 0.34, N = 3SE +/- 1.08, N = 15SE +/- 1.55, N = 3SE +/- 0.81, N = 3SE +/- 2.07, N = 3SE +/- 2.62, N = 3SE +/- 0.82, N = 367.9070.6177.8583.1986.3093.11113.80150.81152.56193.62209.27

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XCore i5 10600KRyzen 5 260040K80K120K160K200KSE +/- 45.89, N = 3SE +/- 29.88, N = 3SE +/- 56.67, N = 3SE +/- 14.97, N = 3SE +/- 68.68, N = 3SE +/- 268.60, N = 3SE +/- 113.90, N = 3SE +/- 18.84, N = 3SE +/- 77.44, N = 3SE +/- 26.52, N = 3SE +/- 120.14, N = 367914.568497.991290.494517.096280.2117619.0123482.0175736.0188045.0205404.0209204.0

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260020406080100SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 329.8233.4734.1639.5240.4844.8751.2465.2770.3483.9791.68

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600130260390520650192.18208.36224.29259.33267.07299.91349.40470.18511.74539.89590.16

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26001122334455SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 315.9618.3018.7222.6322.8825.1829.3238.6741.4043.9348.561. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260020K40K60K80K100KSE +/- 79.67, N = 3SE +/- 191.60, N = 3SE +/- 80.31, N = 3SE +/- 28.54, N = 3SE +/- 286.83, N = 3SE +/- 35.83, N = 3SE +/- 139.97, N = 3SE +/- 44.51, N = 3SE +/- 325.15, N = 3SE +/- 179.41, N = 3SE +/- 39.73, N = 394779900718943777550769096477256370438554189733526314291. (CXX) g++ options: -pipe -lpthread

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26004080120160200SE +/- 2.09, N = 6SE +/- 1.78, N = 3SE +/- 2.62, N = 3SE +/- 2.00, N = 4SE +/- 1.56, N = 3SE +/- 1.27, N = 3SE +/- 0.83, N = 3SE +/- 1.15, N = 3SE +/- 0.59, N = 3SE +/- 0.50, N = 3SE +/- 0.57, N = 3172.75162.49158.81139.09136.32126.1998.3277.1975.1462.2057.581. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 260050100150200250SE +/- 0.45, N = 3SE +/- 0.23, N = 3SE +/- 0.53, N = 3SE +/- 0.17, N = 3SE +/- 0.46, N = 3SE +/- 0.41, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.24, N = 3220.35206.64200.83186.01180.89180.29122.76119.86109.3281.3875.581. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260070140210280350117.67119.86142.65156.53161.51178.12214.51291.01305.77317.67342.04

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26000.40640.81281.21921.62562.032SE +/- 0.008, N = 4SE +/- 0.006, N = 15SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.012, N = 6SE +/- 0.006, N = 3SE +/- 0.011, N = 15SE +/- 0.027, N = 3SE +/- 0.024, N = 30.6270.6840.6970.7810.8050.8421.0071.2951.3401.5911.806MIN: 0.5 / MAX: 1.04MIN: 0.56 / MAX: 0.94MIN: 0.57 / MAX: 1.33MIN: 0.71 / MAX: 1.21MIN: 0.69 / MAX: 1.14MIN: 0.73 / MAX: 1.13MIN: 0.88 / MAX: 1.38MIN: 1.2 / MAX: 1.71MIN: 1.16 / MAX: 1.86MIN: 1.42 / MAX: 2.11MIN: 1.62 / MAX: 2.45

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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 5 2600XRyzen 5 26000.991.982.973.964.951.531.542.282.643.033.123.133.203.224.344.40

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260070140210280350111.39125.26134.45155.82160.13166.41199.43265.42282.58289.14315.83

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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i9 10900KCore i5 10600KRyzen 5 2600XRyzen 5 2600714212835SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 330.328.327.325.124.721.918.918.314.411.510.8

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600306090120150SE +/- 0.42, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.43, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3155.81145.91130.30129.64119.07117.56112.9085.5779.1061.8156.021. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 9 5950XRyzen 9 3950XCore i9 10900KRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260020406080100SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.33, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 386.9482.2469.9069.6363.2662.5060.1048.1443.8234.6331.371. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 26000.29030.58060.87091.16121.4515SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 31.2901.2841.2361.1361.1330.9770.8420.8230.7330.5040.4691. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRyzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600816243240SE +/- 0.09, N = 3SE +/- 0.11, N = 15SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.40, N = 3SE +/- 0.14, N = 3SE +/- 0.52, N = 3SE +/- 0.03, N = 312.2413.2514.7316.0316.2616.9919.0124.8024.8130.3833.51

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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26001122334455SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 318.1719.5220.5822.7723.2224.7427.9733.4535.4345.1348.65

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 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 9 3950XCore i5 10600KRyzen 5 2600XRyzen 5 26001632486480SE +/- 0.08, N = 3SE +/- 0.17, N = 15SE +/- 0.13, N = 3SE +/- 0.15, N = 8SE +/- 0.58, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.83, N = 326.8026.8829.4331.5532.4632.4836.0236.9838.4766.4671.57MIN: 26.49 / MAX: 39.3MIN: 25.86 / MAX: 39.31MIN: 29.01 / MAX: 39.64MIN: 30.42 / MAX: 44.63MIN: 31.11 / MAX: 44.49MIN: 31.9 / MAX: 45.8MIN: 35.38 / MAX: 46.54MIN: 35.45 / MAX: 47.52MIN: 38.12 / MAX: 51.85MIN: 66.03 / MAX: 79.02MIN: 69.74 / MAX: 86.541. (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: SqueezeNetV1.0Core i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 5900XRyzen 9 5950XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.060, N = 3SE +/- 0.021, N = 3SE +/- 0.080, N = 3SE +/- 0.062, N = 15SE +/- 0.059, N = 3SE +/- 0.084, N = 3SE +/- 0.076, N = 8SE +/- 0.100, N = 3SE +/- 0.082, N = 3SE +/- 0.048, N = 3SE +/- 0.027, N = 34.3315.6516.0346.1116.4486.5627.2347.2358.16210.64711.525MIN: 4.15 / MAX: 16.62MIN: 5.51 / MAX: 10.9MIN: 5.82 / MAX: 15.84MIN: 5.64 / MAX: 17.69MIN: 6.19 / MAX: 16.36MIN: 6.33 / MAX: 8.06MIN: 6.68 / MAX: 15.68MIN: 6.96 / MAX: 9.38MIN: 7.83 / MAX: 11.13MIN: 10.44 / MAX: 23.54MIN: 11.38 / MAX: 27.51. (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

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 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260048121620SE +/- 0.024, N = 3SE +/- 0.041, N = 3SE +/- 0.051, N = 3SE +/- 0.019, N = 3SE +/- 0.109, N = 3SE +/- 0.090, N = 3SE +/- 0.050, N = 3SE +/- 0.092, N = 3SE +/- 0.134, N = 3SE +/- 0.150, N = 3SE +/- 0.124, N = 36.7647.2767.4958.0998.1878.6139.62513.98214.12915.75317.548

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: Fast Fourier TransformRyzen 9 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 5 2600XRyzen 5 2600110220330440550SE +/- 3.07, N = 3SE +/- 1.54, N = 3SE +/- 1.18, N = 3SE +/- 4.86, N = 3SE +/- 6.33, N = 3SE +/- 16.54, N = 3SE +/- 6.73, N = 3SE +/- 2.26, N = 3SE +/- 2.43, N = 3SE +/- 1.16, N = 3SE +/- 1.75, N = 3521.05495.79390.00374.19371.29310.86306.45265.78262.48201.06200.981. (CC) gcc options: -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: 0Ryzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600306090120150SE +/- 0.27, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.44, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.63, N = 3SE +/- 0.32, N = 3SE +/- 0.34, N = 352.7558.6559.4067.3068.1871.8680.88101.97106.41124.21135.741. (CXX) g++ options: -O3 -fPIC

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600918273645SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 315.5817.1918.7319.8420.5621.0324.0329.5030.1536.4940.08

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: mobilenetRyzen 9 5900XRyzen 9 5950XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600714212835SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 312.3612.6516.4116.4916.5017.0817.1218.7918.8329.3831.68MIN: 12.07 / MAX: 31.33MIN: 12.38 / MAX: 13.1MIN: 16.34 / MAX: 17.53MIN: 16.16 / MAX: 16.99MIN: 16.21 / MAX: 16.8MIN: 16.45 / MAX: 18.57MIN: 16.58 / MAX: 50.65MIN: 18.56 / MAX: 29.54MIN: 18.42 / MAX: 19.87MIN: 27.24 / MAX: 87.03MIN: 28.97 / MAX: 33.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ryzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260020406080100SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 332.2035.2135.6840.4341.1142.7748.5261.3463.9074.5181.881. (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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 260050100150200250SE +/- 2.17, N = 10SE +/- 3.76, N = 3SE +/- 0.25, N = 3SE +/- 2.55, N = 5SE +/- 3.37, N = 3SE +/- 3.32, N = 3SE +/- 1.83, N = 3SE +/- 1.38, N = 3SE +/- 1.35, N = 3SE +/- 0.64, N = 3SE +/- 0.42, N = 3234.14226.26217.13210.08202.63198.20154.53149.99134.2599.9992.991. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 1080pCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 26002004006008001000SE +/- 1.31, N = 3SE +/- 2.14, N = 3SE +/- 0.38, N = 3SE +/- 1.50, N = 3SE +/- 1.67, N = 3SE +/- 0.26, N = 3SE +/- 0.99, N = 3SE +/- 1.57, N = 3SE +/- 1.71, N = 3SE +/- 0.77, N = 3SE +/- 0.46, N = 3785.87688.70661.39619.21586.78585.47550.52514.32438.49335.74316.11MIN: 607.56 / MAX: 1067.02MIN: 524.41 / MAX: 874.26MIN: 505.19 / MAX: 829.84MIN: 475.8 / MAX: 778.14MIN: 461.53 / MAX: 717.45MIN: 461.07 / MAX: 715.8MIN: 404.15 / MAX: 850.71MIN: 394.76 / MAX: 717.47MIN: 334.01 / MAX: 673.67MIN: 254.48 / MAX: 557.97MIN: 240.35 / MAX: 513.81. (CC) gcc options: -pthread

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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260020406080100SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 337.3740.1242.3746.2746.7947.7954.1464.4166.2684.4791.41

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: MobileNetV2_224Core i9 10900KRyzen 9 5900XRyzen 7 3800XTCore i5 10600KRyzen 9 5950XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 2600XRyzen 5 2600246810SE +/- 0.013, N = 3SE +/- 0.016, N = 15SE +/- 0.053, N = 3SE +/- 0.015, N = 3SE +/- 0.012, N = 3SE +/- 0.049, N = 3SE +/- 0.026, N = 8SE +/- 0.022, N = 3SE +/- 0.010, N = 3SE +/- 0.026, N = 3SE +/- 0.012, N = 32.8233.0583.3753.4013.8493.9603.9884.0225.7166.1296.606MIN: 2.75 / MAX: 4.11MIN: 2.86 / MAX: 15.6MIN: 3.24 / MAX: 13.21MIN: 3.33 / MAX: 5.99MIN: 3.7 / MAX: 14.25MIN: 3.84 / MAX: 5.18MIN: 3.78 / MAX: 15.56MIN: 3.91 / MAX: 6.2MIN: 5.49 / MAX: 6.8MIN: 6.04 / MAX: 8.3MIN: 6.48 / MAX: 21.661. (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

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 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XCore i5 10600KRyzen 5 260050K100K150K200K250KSE +/- 317.75, N = 3SE +/- 197.01, N = 3SE +/- 519.62, N = 3SE +/- 739.92, N = 3SE +/- 186.00, N = 3SE +/- 273.40, N = 3SE +/- 928.82, N = 3SE +/- 192.72, N = 3SE +/- 297.43, N = 3SE +/- 40.25, N = 3SE +/- 1326.69, N = 3106372117199122229139014140368147694156768213644222099236704248092

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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260050100150200250SE +/- 0.62, N = 3SE +/- 0.17, N = 3SE +/- 0.61, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.66, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3231.45228.06201.96197.64197.62183.54171.17145.19143.26105.8199.86MIN: 167.76 / MAX: 241.46MIN: 183.97 / MAX: 245.09MIN: 138.19 / MAX: 209.94MIN: 160.44 / MAX: 207.45MIN: 158.2 / MAX: 208.72MIN: 147.87 / MAX: 191.59MIN: 153.68 / MAX: 184.63MIN: 138.55 / MAX: 159.76MIN: 134.31 / MAX: 160.76MIN: 92.09 / MAX: 111.8MIN: 89.89 / MAX: 105.631. (CC) gcc options: -pthread

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: resnet-v2-50Core i9 10900KRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 2600XRyzen 5 26001326395265SE +/- 0.26, N = 3SE +/- 0.16, N = 15SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 8SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.25, N = 325.3127.0628.3829.5330.2632.4833.0733.4742.1352.9758.15MIN: 24.65 / MAX: 37.66MIN: 26.09 / MAX: 38.76MIN: 27.72 / MAX: 40.81MIN: 29.08 / MAX: 40.82MIN: 29.77 / MAX: 40.96MIN: 32.23 / MAX: 45.55MIN: 31.66 / MAX: 46.35MIN: 32.67 / MAX: 45.9MIN: 39.26 / MAX: 53.15MIN: 51.97 / MAX: 66.22MIN: 56.86 / MAX: 79.061. (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

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Ryzen 9 5900XRyzen 9 5950XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 9 3950XRyzen 5 3600XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.36, N = 35.195.255.896.616.626.837.017.107.3610.6311.71MIN: 5.01 / MAX: 5.68MIN: 5.19 / MAX: 9.21MIN: 5.82 / MAX: 7.01MIN: 6.48 / MAX: 7.84MIN: 6.51 / MAX: 7.75MIN: 6.75 / MAX: 8.34MIN: 6.92 / MAX: 8.19MIN: 6.88 / MAX: 8.39MIN: 7.22 / MAX: 8.57MIN: 10.28 / MAX: 12.43MIN: 11.18 / MAX: 12.891. (CXX) g++ options: -O3 -rdynamic -lgomp -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: TradesoapRyzen 9 5900XCore i9 10900KRyzen 9 5950XRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260014002800420056007000SE +/- 20.13, N = 4SE +/- 28.48, N = 4SE +/- 36.22, N = 4SE +/- 43.45, N = 4SE +/- 18.51, N = 4SE +/- 22.93, N = 4SE +/- 25.86, N = 3SE +/- 23.88, N = 3SE +/- 86.81, N = 3SE +/- 76.42, N = 428362884292533483389346036633977439559786357

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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i9 10900KRyzen 5 3600XRyzen 5 2600XCore i5 10600KRyzen 5 26001122334455SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.15, N = 3SE +/- 0.34, N = 15SE +/- 0.18, N = 3SE +/- 0.19, N = 3SE +/- 0.64, N = 3SE +/- 0.12, N = 322.2022.7725.6626.8628.1332.7233.1436.3444.8144.9449.37

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteRyzen 9 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600306090120150SE +/- 0.90, N = 3SE +/- 0.08, N = 3SE +/- 0.56, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.45, N = 3SE +/- 1.10, N = 3SE +/- 0.68, N = 3SE +/- 1.24, N = 3SE +/- 1.64, N = 369.8172.5677.7882.9886.7988.59118.74127.40131.40141.02154.761. (CXX) g++ options: -O2 -lOpenCL

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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 310.3611.0212.2413.2313.4814.2314.9718.0519.6820.8822.751. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

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-v2-v2 - Model: mobilenet-v2Ryzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950XRyzen 5 2600XRyzen 5 2600246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.22, N = 34.144.375.065.335.395.405.555.645.828.058.84MIN: 4.08 / MAX: 5.04MIN: 4.29 / MAX: 5.32MIN: 4.97 / MAX: 6.13MIN: 5.16 / MAX: 6.82MIN: 5.23 / MAX: 6.48MIN: 5.25 / MAX: 6.16MIN: 5.45 / MAX: 10.07MIN: 5.52 / MAX: 7.35MIN: 5.69 / MAX: 6.18MIN: 7.71 / MAX: 22.06MIN: 8.31 / MAX: 46.71. (CXX) g++ options: -O3 -rdynamic -lgomp -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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i9 10900KRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26001224364860SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 354.9953.4244.5743.5943.1941.7641.5039.0236.9428.6826.281. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 9 5900XRyzen 9 5950XCore i9 10900KRyzen 9 3900XRyzen 9 3950XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.35, N = 3SE +/- 0.14, N = 312.9513.3014.0415.9515.9716.1716.2916.3917.8825.3826.90MIN: 12.49 / MAX: 14.61MIN: 12.97 / MAX: 13.74MIN: 13.85 / MAX: 15.37MIN: 15.58 / MAX: 16.48MIN: 15.54 / MAX: 16.76MIN: 15.98 / MAX: 27.23MIN: 15.98 / MAX: 18.5MIN: 15.95 / MAX: 85.44MIN: 17.74 / MAX: 19.69MIN: 23.56 / MAX: 136.33MIN: 25.24 / MAX: 30.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Ryzen 9 5900XRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i5 10600KRyzen 7 3800XTCore i9 10900KRyzen 5 3600XRyzen 5 2600XRyzen 5 26001020304050SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 344.644.239.538.938.737.232.330.327.022.121.61. (CC) gcc options: -O3 -pthread -lz -llzma

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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XRyzen 5 2600XRyzen 5 26001224364860SE +/- 0.49, N = 3SE +/- 0.59, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 353.1952.9449.0445.8138.9038.5938.3238.2038.0329.8125.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Ryzen 9 5900XRyzen 9 5950XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 5 2600XRyzen 5 2600Core i9 10900K13002600390052006500SE +/- 1.96, N = 3SE +/- 17.79, N = 3SE +/- 5.02, N = 3SE +/- 11.08, N = 3SE +/- 9.17, N = 3SE +/- 16.97, N = 3SE +/- 11.36, N = 3SE +/- 10.49, N = 3SE +/- 20.88, N = 3SE +/- 5.74, N = 3SE +/- 3.56, N = 35879.84896.14561.34499.84483.54265.94059.13633.43309.93204.62922.31. (CC) gcc options: -O3 -pthread -lz -llzma

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 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3900XCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26000.76051.5212.28153.0423.8025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.383.362.922.722.712.712.682.612.561.851.701. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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: ResNet 50 - Device: CPURyzen 9 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26003691215SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.2411.087.387.227.147.036.926.596.485.985.66

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPURyzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i9 10900KRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26003691215SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 312.6112.4311.1510.6110.599.799.218.947.886.826.35

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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 5 3600XRyzen 5 2600XRyzen 5 26001020304050SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.40, N = 321.8122.6325.0027.7928.0328.6828.9029.0829.7939.3442.51MIN: 21.37 / MAX: 22.7MIN: 22.14 / MAX: 23.14MIN: 24.78 / MAX: 25.84MIN: 27.7 / MAX: 29.86MIN: 27.86 / MAX: 28.69MIN: 28.4 / MAX: 37.04MIN: 28.52 / MAX: 83.18MIN: 28.81 / MAX: 29.7MIN: 29.39 / MAX: 54.87MIN: 36.42 / MAX: 50.8MIN: 38.92 / MAX: 51.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Core i9 10900KRyzen 9 5900XRyzen 9 5950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 9 3950XRyzen 5 3600XRyzen 5 2600XRyzen 5 26001122334455SE +/- 0.05, N = 3SE +/- 0.38, N = 3SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.12, N = 324.2824.2925.4827.6627.8228.4729.2029.9131.6043.7747.04MIN: 23.97 / MAX: 25.62MIN: 23.69 / MAX: 27.95MIN: 24.9 / MAX: 41.04MIN: 27.41 / MAX: 33.56MIN: 27.35 / MAX: 28.71MIN: 28.22 / MAX: 30.66MIN: 28.94 / MAX: 30.06MIN: 29.44 / MAX: 31.38MIN: 31.38 / MAX: 32.98MIN: 43.19 / MAX: 66.44MIN: 46.55 / MAX: 79.051. (CXX) g++ options: -O3 -rdynamic -lgomp -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: Water CausticRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600918273645SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 319.4721.2321.2523.5823.8324.1125.8829.8030.4834.8837.56-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=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 -mbmi21. (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

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 5900XRyzen 9 5950XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 26001.18352.3673.55054.7345.9175SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.265.244.654.204.184.184.174.163.972.982.741. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 9 5900XCore i9 10900KRyzen 9 5950XCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950XRyzen 5 2600XRyzen 5 2600246810SE +/- 0.01, 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 +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 33.994.004.164.414.754.754.835.085.157.107.65MIN: 3.93 / MAX: 4.83MIN: 3.91 / MAX: 4.67MIN: 4.11 / MAX: 5.11MIN: 4.31 / MAX: 5.93MIN: 4.68 / MAX: 5.93MIN: 4.7 / MAX: 5.67MIN: 4.73 / MAX: 5.7MIN: 4.97 / MAX: 6.88MIN: 5.03 / MAX: 5.6MIN: 6.89 / MAX: 24.51MIN: 7.51 / MAX: 10.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600306090120150SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.31, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 382.4783.5887.4390.5594.0394.9399.06109.64110.03137.80157.41

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 RealtimeCore i9 10900KRyzen 9 5950XRyzen 9 5900XCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 325.6725.4525.3021.7019.8219.6419.4719.4719.2614.8413.581. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 5950XRyzen 9 5900XCore i5 10600KCore i9 10900KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 260060120180240300SE +/- 0.35, N = 3SE +/- 1.11, N = 3SE +/- 1.09, N = 3SE +/- 2.90, N = 3SE +/- 1.15, N = 3SE +/- 1.11, N = 3SE +/- 0.54, N = 3SE +/- 1.09, N = 3SE +/- 1.74, N = 3SE +/- 0.24, N = 3SE +/- 0.93, N = 3149.62155.88174.72176.74183.72194.85195.78196.12197.37264.87281.74

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 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 323.6423.2017.0616.8516.4016.3815.6514.7614.4813.2312.57

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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 5 2600XRyzen 5 26000.0360.0720.1080.1440.18SE +/- 0.00117965, N = 15SE +/- 0.00107634, N = 3SE +/- 0.00032095, N = 3SE +/- 0.00016538, N = 3SE +/- 0.00131011, N = 15SE +/- 0.00118276, N = 3SE +/- 0.00086563, N = 3SE +/- 0.00093524, N = 3SE +/- 0.00138595, N = 3SE +/- 0.00034204, N = 3SE +/- 0.00040584, N = 30.085733400.086593970.097657810.100639760.110188770.110595130.110959950.113382120.116432470.148295770.15978746

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 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3900XRyzen 5 3600XCore i9 10900KCore i5 10600KRyzen 5 2600XRyzen 5 26002004006008001000426.53430.24522.74526.46529.70546.89549.02588.16611.64737.38788.88

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.033, N = 3SE +/- 0.105, N = 3SE +/- 0.081, N = 3SE +/- 0.025, N = 3SE +/- 0.002, N = 3SE +/- 0.015, N = 3SE +/- 0.034, N = 3SE +/- 0.028, N = 35.2525.4266.3656.3716.7156.7606.7977.5957.6208.9549.7031. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 5900XRyzen 9 5950XCore i9 10900KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XCore i5 10600KRyzen 9 3900XRyzen 5 2600XRyzen 5 2600120240360480600SE +/- 2.53, N = 3SE +/- 6.57, N = 3SE +/- 2.16, N = 3SE +/- 2.64, N = 3SE +/- 1.51, N = 3SE +/- 2.57, N = 3SE +/- 1.99, N = 3SE +/- 0.84, N = 3SE +/- 3.07, N = 3SE +/- 0.51, N = 3SE +/- 0.13, N = 3550.69542.76451.53432.12425.55422.17415.99413.80409.49318.91299.09

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 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 260012002400360048006000SE +/- 27.26, N = 4SE +/- 20.69, N = 4SE +/- 25.71, N = 4SE +/- 26.51, N = 4SE +/- 15.68, N = 4SE +/- 23.65, N = 4SE +/- 27.52, N = 4SE +/- 11.74, N = 4SE +/- 17.11, N = 4SE +/- 26.26, N = 4SE +/- 38.39, N = 430663068331936763946396339653990421552325626

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 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600714212835SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 317.1917.2918.0420.2120.6720.9221.2021.4822.7328.5331.46

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XRyzen 5 2600XRyzen 5 2600140280420560700SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3344344353373406413417427428582627

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: googlenetRyzen 9 5900XCore i9 10900KRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.02, N = 2SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.43, N = 312.6813.2813.4314.9216.0517.0317.3117.3819.2421.2123.09MIN: 12.51 / MAX: 13.3MIN: 12.98 / MAX: 14.24MIN: 13.03 / MAX: 14.09MIN: 14.77 / MAX: 16.85MIN: 15.94 / MAX: 25.37MIN: 16.81 / MAX: 18.21MIN: 16.92 / MAX: 19.54MIN: 16.96 / MAX: 17.94MIN: 18.5 / MAX: 19.94MIN: 20.85 / MAX: 39.97MIN: 22.46 / MAX: 50.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XCore i9 10900KCore i5 10600KRyzen 5 2600XRyzen 5 260050100150200250134.28135.23167.36169.17170.08171.79172.48183.25192.56233.40243.89

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.044, N = 3SE +/- 0.029, N = 3SE +/- 0.041, N = 3SE +/- 0.081, N = 3SE +/- 0.020, N = 3SE +/- 0.017, N = 3SE +/- 0.048, N = 3SE +/- 0.029, N = 3SE +/- 0.050, N = 3SE +/- 0.030, N = 3SE +/- 0.042, N = 37.3507.3658.5918.7028.7508.9078.97311.01811.42412.58613.2391. (CC) gcc options: -std=c99 -O3 -lm -lpthread

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Ryzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 2600XRyzen 5 2600714212835SE +/- 0.36, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 331.1230.8130.3428.6626.9925.9925.8325.6425.3719.3017.341. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 26002004006008001000SE +/- 3.00, N = 3SE +/- 1.55, N = 3SE +/- 7.35, N = 3SE +/- 6.32, N = 3SE +/- 10.13, N = 3SE +/- 0.30, N = 3SE +/- 7.80, N = 3SE +/- 11.67, N = 3SE +/- 3.31, N = 3SE +/- 0.98, N = 3SE +/- 2.37, N = 3885.60871.93829.30751.35743.57741.22732.75717.42716.75528.11494.991. (CC) gcc options: -lm

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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 5 2600XRyzen 5 26001632486480SE +/- 0.71, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.68, N = 3SE +/- 0.34, N = 3SE +/- 0.09, N = 3SE +/- 0.47, N = 3SE +/- 0.26, N = 3SE +/- 0.28, N = 3SE +/- 0.14, N = 341.5442.6846.5649.0553.9855.0755.7856.7757.3069.1173.931. (CC) gcc options: -O2 -ldl -lz -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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 2600306090120150SE +/- 0.24, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 388.789.093.098.7100.0101.0102.0103.0105.0142.0156.0

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 5900XRyzen 9 5950XRyzen 7 3800XTCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 39.519.508.088.087.887.837.807.737.695.895.431. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

Inkscape

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

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XRyzen 5 2600XRyzen 5 2600714212835SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 318.3218.5519.8620.8623.7823.7823.8823.9224.2128.4931.701. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

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 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.085, N = 3SE +/- 0.064, N = 3SE +/- 0.050, N = 3SE +/- 0.053, N = 3SE +/- 0.053, N = 3SE +/- 0.030, N = 3SE +/- 0.088, N = 3SE +/- 0.124, N = 3SE +/- 0.080, N = 3SE +/- 0.130, N = 3SE +/- 0.154, N = 36.2986.3446.8047.2897.3817.4917.6737.9268.2369.66810.864

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 5950XRyzen 9 5900XCore i9 10900KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3950XCore i5 10600KRyzen 5 3600XRyzen 9 3900XTRyzen 5 2600XRyzen 5 260060120180240300SE +/- 0.44, N = 3SE +/- 0.76, N = 3SE +/- 0.36, N = 3SE +/- 2.30, N = 3SE +/- 0.79, N = 3SE +/- 3.33, N = 4SE +/- 0.15, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.32, N = 3SE +/- 0.11, N = 3281.53281.15237.26232.69229.31225.71223.57221.22221.00176.66164.17-lm1. (CC) gcc options: -O3 -rdynamic

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 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XCore i5 10600KRyzen 9 3950XRyzen 9 3900XTRyzen 5 3600XRyzen 7 3800XTRyzen 5 2600XRyzen 5 26002M4M6M8M10MSE +/- 46067.71, N = 3SE +/- 9488.88, N = 3SE +/- 18480.02, N = 3SE +/- 33192.92, N = 3SE +/- 7610.57, N = 3SE +/- 28955.96, N = 3SE +/- 124855.19, N = 3SE +/- 45342.43, N = 3SE +/- 24969.38, N = 3SE +/- 91197.02, N = 5SE +/- 19360.82, N = 3115195671140483810087418926807091961549195403907152889120188805287722127967184031. (CC) gcc options: -pthread -lstdc++ -fprofile-use -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: MediumRyzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 5 2600XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 5 2600Ryzen 7 3800XTCore i5 10600KRyzen 5 3600X3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.606.016.276.446.807.047.077.097.989.459.601. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeRyzen 9 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 314.7514.8115.8217.0518.0618.3818.5118.5618.9723.2925.191. chrome 86.0.4240.75

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26001428425670SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.38, N = 3SE +/- 0.38, N = 3SE +/- 0.64, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.33, N = 336.7837.4042.2643.3043.5544.3545.8351.3552.4157.8162.731. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Selenium

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

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeRyzen 9 5950XRyzen 9 5900XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XCore i9 10900KRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 26004080120160200SE +/- 0.32, N = 3SE +/- 0.58, N = 3SE +/- 0.28, N = 3SE +/- 0.68, N = 3SE +/- 0.56, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.25, N = 3SE +/- 0.33, N = 3SE +/- 0.13, N = 3SE +/- 0.30, N = 3167.00167.00143.20142.40141.80140.20138.00136.50135.00106.0097.951. chrome 86.0.4240.75

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeRyzen 9 5900XRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XCore i9 10900KRyzen 5 2600XRyzen 5 26001020304050SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.30, N = 344.8044.4036.8036.5036.4036.3036.2035.3335.2029.0026.281. chrome 86.0.4240.75

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 5900XRyzen 9 5950XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 2600XRyzen 5 260020406080100SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 0.08, N = 3SE +/- 0.39, N = 3SE +/- 0.05, N = 3SE +/- 0.47, N = 3SE +/- 0.69, N = 356.9961.5863.6366.9168.8369.2569.9470.2472.7487.2797.13-msse4a -msha-msse4a -msha-mmpx-msse4a -msha-mmpx-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha1. (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

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 5950XRyzen 9 5900XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 26004K8K12K16K20KSE +/- 274.41, N = 3SE +/- 46.12, N = 3SE +/- 15.99, N = 3SE +/- 32.40, N = 3SE +/- 67.33, N = 3SE +/- 15.81, N = 3SE +/- 155.45, N = 8SE +/- 104.27, N = 3SE +/- 25.69, N = 3SE +/- 63.16, N = 3SE +/- 45.17, N = 320223.020018.517624.816160.115875.815846.115572.815451.015263.713100.011869.61. (CC) gcc options: -O3

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: RotateRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XRyzen 5 3600XRyzen 9 3900XTRyzen 5 2600XRyzen 5 26002004006008001000SE +/- 8.11, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 3.51, N = 3SE +/- 12.84, N = 3SE +/- 0.88, N = 3SE +/- 9.68, N = 3SE +/- 2.65, N = 3SE +/- 1.00, N = 3105610429458627997947667547266576231. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 5950XRyzen 9 5900XRyzen 7 3800XTCore i9 10900KRyzen 9 3950XRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XCore i5 10600KRyzen 5 2600XRyzen 5 2600481216209.229.2811.5411.6412.0312.1212.1412.2312.3514.5115.61

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 tau100.0Core i9 10900KRyzen 9 5900XRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 260060120180240300SE +/- 1.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 2.56, N = 5SE +/- 0.33, N = 3SE +/- 0.67, N = 31661791801992052072112112332532791. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 2600510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 312.712.714.315.215.215.415.615.816.119.921.3

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 5950XRyzen 9 5900XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XCore i5 10600KRyzen 5 2600XRyzen 5 2600246810SE +/- 0.047, N = 23SE +/- 0.044, N = 25SE +/- 0.050, N = 20SE +/- 0.062, N = 23SE +/- 0.053, N = 25SE +/- 0.046, N = 25SE +/- 0.051, N = 22SE +/- 0.040, N = 25SE +/- 0.062, N = 22SE +/- 0.052, N = 22SE +/- 0.058, N = 225.1265.1426.2076.2896.3556.4126.4816.5066.5687.8798.5421. LibreOffice 7.0.1.2 00(Build: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 5950XCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 2600306090120150SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.29, N = 3SE +/- 0.37, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3133.14131.94128.47113.75110.90110.59105.06102.7297.9386.4880.09MIN: 92.76 / MAX: 272.06MIN: 84.38 / MAX: 304.84MIN: 88.05 / MAX: 273.02MIN: 77.63 / MAX: 233.82MIN: 74.1 / MAX: 238.95MIN: 74.04 / MAX: 240.86MIN: 69.5 / MAX: 241.03MIN: 66.79 / MAX: 241.72MIN: 63.93 / MAX: 233.22MIN: 57.16 / MAX: 200.8MIN: 53.02 / MAX: 189.91. (CC) gcc options: -pthread

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 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 9 3900XTRyzen 5 2600XRyzen 5 2600110M220M330M440M550MSE +/- 6320318.74, N = 3SE +/- 1730487.00, N = 3SE +/- 667086.01, N = 3SE +/- 345078.13, N = 3SE +/- 821909.63, N = 3SE +/- 265333.27, N = 3SE +/- 425188.38, N = 3SE +/- 140508.36, N = 3SE +/- 3810394.29, N = 3SE +/- 776522.58, N = 3SE +/- 209117.75, N = 3535283139.78517301573.26511718743.40481073602.70406360022.76406108737.68401445819.03390856008.08385672695.95344830613.40322438360.171. (CC) gcc options: -O3 -march=native -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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XRyzen 5 2600XRyzen 5 26004080120160200SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3123123134140150153153158158189204

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 5900XRyzen 9 5950XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 26004080120160200SE +/- 0.57, N = 3SE +/- 0.77, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 1.02, N = 3SE +/- 0.80, N = 3SE +/- 0.12, N = 3SE +/- 0.54, N = 3SE +/- 0.55, N = 3SE +/- 0.44, N = 3SE +/- 0.33, N = 3188.92187.72163.68155.62153.24152.93152.15151.42148.98125.80114.181. chrome 86.0.4240.75

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 5900XRyzen 9 5950XCore i9 10900KRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 260020406080100SE +/- 0.53, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.50, N = 3SE +/- 0.34, N = 3SE +/- 0.11, N = 3SE +/- 0.79, N = 3SE +/- 0.30, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 357.3657.7266.3768.8969.1969.7070.2871.6272.0988.0194.121. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

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 5950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XCore i9 10900KRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 260020406080100SE +/- 0.77, N = 6SE +/- 1.56, N = 12SE +/- 1.07, N = 3SE +/- 0.37, N = 3SE +/- 0.87, N = 3SE +/- 0.24, N = 3SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.05, N = 3SE +/- 0.83, N = 3SE +/- 1.07, N = 363.8666.7479.7679.9380.9481.1083.8987.0991.9099.31104.311. (CXX) g++ options: -O2 -lOpenCL

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 9 5900XRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XTCore i9 10900KRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 260020406080100SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 345.8546.3452.3953.5153.6754.3457.8460.9363.4168.6174.651. RawTherapee, version 5.8, command line.

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 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XCore i9 10900KCore i5 10600KRyzen 5 2600XRyzen 5 26002004006008001000SE +/- 4.52, N = 3SE +/- 3.47, N = 3SE +/- 2.82, N = 3SE +/- 2.40, N = 3SE +/- 3.42, N = 3SE +/- 6.66, N = 3SE +/- 1.07, N = 3SE +/- 3.99, N = 3SE +/- 4.28, N = 3SE +/- 3.45, N = 3SE +/- 4.02, N = 3589.9590.1686.9700.5705.8715.3721.3754.9757.0878.4953.11. chrome 86.0.4240.75

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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 36.386.426.746.937.197.538.018.108.128.7110.30

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 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XRyzen 5 2600XRyzen 5 26002004006008001000SE +/- 4.04, N = 3SE +/- 6.36, N = 3SE +/- 1.67, N = 3SE +/- 3.48, N = 3SE +/- 5.81, N = 3SE +/- 11.59, N = 3SE +/- 1.86, N = 3SE +/- 14.81, N = 3SE +/- 2.96, N = 3SE +/- 9.53, N = 371873077382086687187688888810621159

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: FirefoxRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XCore i9 10900KRyzen 5 2600XCore i5 10600KRyzen 5 2600100200300400500SE +/- 4.99, N = 3SE +/- 4.25, N = 3SE +/- 1.95, N = 3SE +/- 2.91, N = 3SE +/- 0.71, N = 3SE +/- 1.70, N = 3SE +/- 5.47, N = 3SE +/- 3.03, N = 3SE +/- 4.23, N = 3SE +/- 0.19, N = 3SE +/- 2.09, N = 3291.4297.7347.7360.7362.2367.7369.6419.1438.5450.8468.81. firefox 81.0

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 5900XRyzen 9 5950XRyzen 9 3900XTRyzen 7 3800XTCore i9 10900KRyzen 9 3900XCore i5 10600KRyzen 5 3600XRyzen 9 3950XRyzen 5 2600XRyzen 5 2600510152025SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 312.6312.7614.8615.0415.0815.2615.4515.6215.6418.7620.231. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LAME MP3 Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 9 5950XRyzen 9 5900XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTCore i9 10900KRyzen 5 3600XRyzen 9 3900XCore i5 10600KRyzen 5 2600XRyzen 5 2600246810SE +/- 0.014, N = 3SE +/- 0.027, N = 3SE +/- 0.076, N = 3SE +/- 0.054, N = 3SE +/- 0.097, N = 3SE +/- 0.004, N = 3SE +/- 0.031, N = 3SE +/- 0.110, N = 3SE +/- 0.017, N = 3SE +/- 0.040, N = 3SE +/- 0.008, N = 35.5625.6216.6586.8946.9646.9667.0677.0817.3978.2138.8121. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

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 5900XRyzen 9 5950XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 2600816243240SE +/- 0.09, N = 4SE +/- 0.06, N = 4SE +/- 0.14, N = 4SE +/- 0.11, N = 4SE +/- 0.11, N = 4SE +/- 0.38, N = 4SE +/- 0.12, N = 4SE +/- 0.14, N = 4SE +/- 0.06, N = 4SE +/- 0.12, N = 4SE +/- 0.27, N = 421.3221.4625.3026.0826.6826.7126.7726.8127.4830.8333.381. (CC) gcc options: -O2 -std=c99

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 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600246810SE +/- 0.024, N = 3SE +/- 0.012, N = 3SE +/- 0.054, N = 3SE +/- 0.013, N = 3SE +/- 0.008, N = 3SE +/- 0.026, N = 3SE +/- 0.017, N = 3SE +/- 0.006, N = 3SE +/- 0.014, N = 3SE +/- 0.017, N = 3SE +/- 0.019, N = 34.2584.2644.4534.5384.5864.6164.7335.3225.4346.1536.6431. (CXX) g++ options: -O3 -fPIC

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: 200Core i9 10900KRyzen 9 5900XRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 2600XRyzen 5 260030K60K90K120K150KSE +/- 271.18, N = 3SE +/- 478.94, N = 3SE +/- 473.56, N = 3SE +/- 179.78, N = 3SE +/- 989.81, N = 8SE +/- 328.34, N = 3SE +/- 37.78, N = 3SE +/- 46.94, N = 3SE +/- 97.95, N = 3SE +/- 105.66, N = 3SE +/- 104.94, N = 37531378347809248958496129975871056171058031073561083441174701. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 2600246810SE +/- 0.019, N = 3SE +/- 0.033, N = 3SE +/- 0.015, N = 3SE +/- 0.005, N = 3SE +/- 0.056, N = 3SE +/- 0.078, N = 3SE +/- 0.087, N = 5SE +/- 0.067, N = 3SE +/- 0.025, N = 3SE +/- 0.011, N = 3SE +/- 0.005, N = 35.3345.3406.0246.3876.5556.5676.7486.8046.9167.7538.2901. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 5950XRyzen 9 5900XRyzen 7 3800XTCore i9 10900KCore i5 10600KRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 2600XRyzen 5 26000.00020.00040.00060.00080.001SE +/- 0.00001012, N = 3SE +/- 0.00000408, N = 3SE +/- 0.00001084, N = 3SE +/- 0.00000313, N = 3SE +/- 0.00000106, N = 3SE +/- 0.00000757, N = 3SE +/- 0.00000316, N = 3SE +/- 0.00000610, N = 15SE +/- 0.00000624, N = 13SE +/- 0.00000413, N = 3SE +/- 0.00000511, N = 30.000649730.000650210.000699960.000702280.000732810.000735480.000749990.000753640.000768620.000884590.00100830

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 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 5 2600XRyzen 5 2600246810SE +/- 0.034, N = 5SE +/- 0.045, N = 5SE +/- 0.012, N = 5SE +/- 0.031, N = 5SE +/- 0.045, N = 5SE +/- 0.057, N = 5SE +/- 0.020, N = 5SE +/- 0.045, N = 5SE +/- 0.031, N = 5SE +/- 0.019, N = 5SE +/- 0.023, N = 55.1805.1935.8976.1906.4696.4846.5736.5956.7557.5207.927

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 5900XRyzen 9 5950XRyzen 9 3900XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTCore i5 10600KCore i9 10900KRyzen 5 2600XRyzen 5 26003K6K9K12K15KSE +/- 62.90, N = 3SE +/- 40.83, N = 3SE +/- 27.76, N = 3SE +/- 13.28, N = 3SE +/- 21.12, N = 3SE +/- 23.94, N = 3SE +/- 32.32, N = 3SE +/- 9.56, N = 3SE +/- 18.50, N = 3SE +/- 27.57, N = 3SE +/- 7.55, N = 314645.414032.511595.211552.011505.511474.911473.910868.210815.89986.49570.91. (CXX) g++ options: -rdynamic

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 5950XRyzen 9 5900XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i5 10600KRyzen 5 3600XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.038, N = 5SE +/- 0.033, N = 5SE +/- 0.014, N = 5SE +/- 0.028, N = 5SE +/- 0.026, N = 5SE +/- 0.034, N = 5SE +/- 0.039, N = 5SE +/- 0.017, N = 5SE +/- 0.016, N = 5SE +/- 0.016, N = 5SE +/- 0.007, N = 56.3736.4407.1737.3407.4557.5387.5797.5877.6959.1249.7481. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Ryzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 5 2600XRyzen 5 26009001800270036004500SE +/- 29.79, N = 4SE +/- 12.57, N = 4SE +/- 51.94, N = 20SE +/- 43.74, N = 20SE +/- 25.42, N = 20SE +/- 37.27, N = 4SE +/- 39.66, N = 4SE +/- 36.35, N = 4SE +/- 38.38, N = 4SE +/- 40.19, N = 926562712274727782908305030903130325535594061

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 5900XRyzen 9 5950XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 5 2600XRyzen 5 260048121620SE +/- 0.036, N = 3SE +/- 0.033, N = 3SE +/- 0.022, N = 3SE +/- 0.026, N = 3SE +/- 0.009, N = 3SE +/- 0.076, N = 3SE +/- 0.015, N = 3SE +/- 0.004, N = 3SE +/- 0.069, N = 3SE +/- 0.006, N = 3SE +/- 0.047, N = 39.3209.43110.40410.81110.81811.11611.13011.14511.26512.83814.220

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 ImagesCore i9 10900KRyzen 9 5950XRyzen 9 5900XCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 2600XRyzen 5 2600714212835SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 319.1719.3519.3820.3521.7522.6222.7423.0023.0726.8229.14

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 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 26000.58971.17941.76912.35882.9485SE +/- 0.015, N = 3SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.015, N = 3SE +/- 0.016, N = 3SE +/- 0.002, N = 3SE +/- 0.029, N = 3SE +/- 0.023, N = 3SE +/- 0.003, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 31.7291.7432.0092.0882.0992.1152.1612.1752.1892.4422.6211. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Ryzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTCore i9 10900KRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600246810SE +/- 0.019, N = 3SE +/- 0.015, N = 3SE +/- 0.023, N = 3SE +/- 0.060, N = 3SE +/- 0.018, N = 3SE +/- 0.020, N = 3SE +/- 0.027, N = 3SE +/- 0.008, N = 3SE +/- 0.014, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 34.1334.1384.3054.3364.3794.3954.4564.9705.1025.8206.2521. (CXX) g++ options: -O3 -fPIC

CloverLeaf

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

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsRyzen 9 5900XRyzen 9 5950XRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTCore i9 10900K1.2692.5383.8075.0766.345SE +/- 0.01, N = 3SE +/- 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 +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.733.853.863.893.994.044.534.544.905.065.641. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 26000.38880.77761.16641.55521.944SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 31.1451.1531.2941.3651.3671.3691.3741.4141.4341.6151.7281. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 3950XRyzen 9 5900XRyzen 7 3800XTRyzen 9 3900XRyzen 9 5950XRyzen 9 3900XTRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600Core i9 10900K8K16K24K32K40KSE +/- 34.63, N = 3SE +/- 18.60, N = 3SE +/- 29.41, N = 3SE +/- 29.89, N = 3SE +/- 39.63, N = 3SE +/- 98.83, N = 3SE +/- 18.52, N = 3SE +/- 77.79, N = 3SE +/- 103.15, N = 3SE +/- 347.09, N = 12SE +/- 25.33, N = 338565.5337925.6237466.4836851.9036137.4935670.0134238.2334083.3732899.6931041.6525630.011. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Dolfyn

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsRyzen 9 5950XRyzen 9 5900XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XCore i9 10900KCore i5 10600KRyzen 5 2600XRyzen 5 2600510152025SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 312.8212.8415.3815.5715.6416.1316.1516.4017.1318.0319.28

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 5950XRyzen 9 5900XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 5 26004080120160200SE +/- 2.00, N = 3SE +/- 4.79, N = 15SE +/- 0.67, N = 3136148150156175177178180190190204

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: 200Core i9 10900KRyzen 9 5900XRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 5 2600XRyzen 5 260060K120K180K240K300KSE +/- 174.69, N = 3SE +/- 437.17, N = 3SE +/- 392.51, N = 3SE +/- 166.99, N = 3SE +/- 142.32, N = 3SE +/- 1054.43, N = 3SE +/- 462.71, N = 3SE +/- 477.83, N = 3SE +/- 702.33, N = 3SE +/- 584.46, N = 3SE +/- 384.97, N = 31960742006762142392316832344402379082589722627382651312691132936831. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 260012M24M36M48M60MSE +/- 250264.91, N = 3SE +/- 501860.59, N = 3SE +/- 574257.00, N = 3SE +/- 24227.92, N = 3SE +/- 523372.80, N = 3SE +/- 566907.60, N = 3SE +/- 529964.65, N = 5SE +/- 438932.99, N = 3SE +/- 415561.11, N = 3SE +/- 314239.01, N = 3SE +/- 223179.51, N = 356105538.155937330.152005432.947964784.244883700.944714220.644123395.744081890.743647479.340472566.037514301.8

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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 5 2600XRyzen 5 260048121620SE +/- 0.007, N = 3SE +/- 0.026, N = 3SE +/- 0.014, N = 3SE +/- 0.093, N = 15SE +/- 0.011, N = 3SE +/- 0.007, N = 3SE +/- 0.031, N = 3SE +/- 0.019, N = 3SE +/- 0.018, N = 3SE +/- 0.026, N = 3SE +/- 0.008, N = 39.91510.31410.44211.20311.23911.59011.87611.91612.25013.45314.812

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 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 5 2600XRyzen 5 2600612182430SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 315.7415.9716.0517.3517.7718.2018.2718.3318.6621.7623.421. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 9 5950XRyzen 9 5900XCore i9 10900KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XTCore i5 10600KRyzen 5 2600XRyzen 5 2600918273645SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 327.2727.6231.1231.2032.0132.3032.5332.5833.1638.0340.301. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: resnet18Ryzen 9 5900XCore i9 10900KRyzen 9 5950XCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950XRyzen 5 2600XRyzen 5 2600510152025SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 313.3213.5614.6214.8916.4816.7016.9217.5717.9118.4019.66MIN: 13.09 / MAX: 14.66MIN: 13.34 / MAX: 23.75MIN: 14.51 / MAX: 15.37MIN: 14.8 / MAX: 16.25MIN: 16.31 / MAX: 28.36MIN: 16.36 / MAX: 72.05MIN: 16.79 / MAX: 26.29MIN: 17.45 / MAX: 19.63MIN: 17.65 / MAX: 28.08MIN: 18.12 / MAX: 32.57MIN: 19.19 / MAX: 72.971. (CXX) g++ options: -O3 -rdynamic -lgomp -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: ScaleRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XCore i5 10600KRyzen 5 2600XRyzen 5 2600246810SE +/- 0.053, N = 3SE +/- 0.032, N = 3SE +/- 0.034, N = 3SE +/- 0.048, N = 3SE +/- 0.032, N = 3SE +/- 0.013, N = 3SE +/- 0.012, N = 3SE +/- 0.023, N = 3SE +/- 0.011, N = 3SE +/- 0.048, N = 3SE +/- 0.032, N = 34.5934.6415.2385.3115.4565.4995.5285.5505.6396.2006.769

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 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i9 10900KCore i5 10600K0.450.91.351.82.251.361.361.551.571.591.601.631.701.821.992.00

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: Monte CarloRyzen 9 5950XRyzen 9 5900XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 26004080120160200SE +/- 0.65, N = 3SE +/- 0.67, N = 3SE +/- 1.85, N = 3SE +/- 0.69, N = 3SE +/- 0.92, N = 3SE +/- 0.10, N = 3SE +/- 2.11, N = 3SE +/- 2.65, N = 3SE +/- 0.03, N = 3SE +/- 0.23, N = 3SE +/- 0.02, N = 3192.12189.65179.16168.24165.36165.10163.05159.96159.39140.76131.781. (CC) gcc options: -lm

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Ryzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XRyzen 5 2600XCore i9 10900KRyzen 5 2600Core i5 10600K510152025SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 315.3715.6117.2417.3417.4118.2618.5220.0421.0621.1922.371. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XCore i9 10900KRyzen 5 2600Core i5 10600K80160240320400SE +/- 1.47, N = 3SE +/- 0.81, N = 3SE +/- 1.54, N = 3SE +/- 2.39, N = 3SE +/- 1.69, N = 3SE +/- 4.54, N = 3SE +/- 1.93, N = 3SE +/- 0.64, N = 3SE +/- 2.33, N = 3SE +/- 0.32, N = 3SE +/- 0.44, N = 3253.65254.15270.45270.84280.03280.25285.66334.70340.68360.75368.441. chrome 86.0.4240.75

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 5950XRyzen 9 5900XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 26001530456075SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 0.52, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 345.0545.0549.2352.4552.5353.6954.0954.6755.2160.6965.31

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 5950XRyzen 9 5900XCore i9 10900KRyzen 7 3800XTRyzen 9 3900XTCore i5 10600KRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 5 2600XRyzen 5 2600306090120150SE +/- 0.97, N = 3SE +/- 0.95, N = 3SE +/- 1.49, N = 3SE +/- 1.14, N = 3SE +/- 1.43, N = 3SE +/- 1.47, N = 4SE +/- 0.64, N = 3SE +/- 0.62, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.34, N = 3117.72117.14113.69107.56107.15106.60105.77105.14105.0289.8781.601. firefox 81.0

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 9 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 26001020304050SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 330.8530.8832.3635.1036.4637.1937.2337.4638.5540.6844.12

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 5 2600XRyzen 5 26003691215SE +/- 0.098, N = 3SE +/- 0.062, N = 3SE +/- 0.094, N = 3SE +/- 0.089, N = 3SE +/- 0.041, N = 3SE +/- 0.092, N = 3SE +/- 0.080, N = 3SE +/- 0.049, N = 3SE +/- 0.083, N = 3SE +/- 0.066, N = 3SE +/- 0.126, N = 36.7476.8427.4617.6817.7577.9438.0268.0578.0748.7379.623

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 5900XRyzen 9 5950XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XCore i5 10600KRyzen 9 3900XRyzen 5 2600XRyzen 5 26002004006008001000SE +/- 1.65, N = 3SE +/- 4.47, N = 3SE +/- 1.77, N = 3SE +/- 2.78, N = 3SE +/- 2.56, N = 3SE +/- 6.74, N = 3SE +/- 2.86, N = 3SE +/- 2.60, N = 3SE +/- 5.46, N = 3SE +/- 5.26, N = 3SE +/- 8.29, N = 3663.0673.1708.1709.4714.9731.0737.2745.5745.9856.8940.01. firefox 81.0

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XRyzen 5 2600XRyzen 5 26001020304050SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 330.5630.7431.7334.1234.7435.9936.6436.7536.7839.7543.25

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 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XCore i9 10900KRyzen 5 3600XRyzen 9 3900XCore i5 10600KRyzen 5 2600XRyzen 5 2600816243240SE +/- 0.34, N = 3SE +/- 0.33, N = 3SE +/- 0.24, N = 3SE +/- 0.36, N = 4SE +/- 0.20, N = 3SE +/- 0.42, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 324.2424.5726.4627.0927.3227.7527.9028.5029.4232.3534.081. chrome 86.0.4240.75

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 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 5 2600XRyzen 5 2600816243240SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.01, N = 324.5324.6725.4527.0428.3629.0729.1829.4729.6731.5234.09

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 5950XRyzen 9 5900XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 9 3950XRyzen 5 2600XCore i9 10900KRyzen 5 2600Core i5 10600K510152025SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 316.1716.4818.4318.7918.9019.1019.1320.1520.3621.8222.38

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 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 9 3950XRyzen 5 3600XCore i5 10600KRyzen 5 2600XRyzen 5 2600816243240SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.32, N = 3SE +/- 0.44, N = 324.124.125.426.226.726.826.927.029.030.833.21. firefox 81.0

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: TwofishRyzen 9 5950XRyzen 9 5900XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600100200300400500SE +/- 0.69, N = 3SE +/- 0.97, N = 3SE +/- 0.30, N = 3SE +/- 0.12, N = 3SE +/- 4.92, N = 3SE +/- 0.11, N = 3SE +/- 3.56, N = 3SE +/- 0.67, N = 3SE +/- 1.90, N = 3SE +/- 1.82, N = 3SE +/- 0.36, N = 3465.90461.36446.45420.58411.27403.65400.12393.72390.47370.26343.931. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 5 3600XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 5 2600XRyzen 5 2600Core i9 10900K20406080100SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.26, N = 3SE +/- 0.51, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.37, N = 3SE +/- 0.46, N = 3SE +/- 0.34, N = 3SE +/- 1.00, N = 357.7058.4059.6561.2463.2364.0765.3765.5869.0676.0978.02

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: BlowfishCore i9 10900KRyzen 9 5950XRyzen 9 5900XCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600120240360480600SE +/- 0.12, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3SE +/- 0.37, N = 3SE +/- 5.13, N = 3SE +/- 3.75, N = 3SE +/- 0.08, N = 3SE +/- 6.64, N = 3SE +/- 3.10, N = 3SE +/- 0.88, N = 3SE +/- 0.14, N = 3556.85550.63548.75523.67501.99499.69492.74488.01480.70455.95420.791. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 9 3950XCore i9 10900KRyzen 5 2600XCore i5 10600KRyzen 5 260070140210280350SE +/- 1.79, N = 3SE +/- 1.61, N = 3SE +/- 2.89, N = 3SE +/- 0.84, N = 3SE +/- 0.28, N = 3SE +/- 0.19, N = 3SE +/- 0.44, N = 3SE +/- 1.24, N = 3SE +/- 0.39, N = 3SE +/- 0.14, N = 3SE +/- 0.40, N = 3227.29228.34246.79255.51256.34257.80258.83282.65282.94294.97300.34MIN: 221.13 / MAX: 240.21MIN: 221.95 / MAX: 262.93MIN: 240.1 / MAX: 270.64MIN: 242.62 / MAX: 276.95MIN: 249.57 / MAX: 278.25MIN: 253.88 / MAX: 275.98MIN: 245.84 / MAX: 277.3MIN: 278.48 / MAX: 286.84MIN: 268.15 / MAX: 299.88MIN: 294.25 / MAX: 296.33MIN: 287.66 / MAX: 320.521. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ryzen 9 5950XRyzen 9 5900XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 9 3950XRyzen 5 2600XCore i9 10900KCore i5 10600KRyzen 5 260060120180240300SE +/- 0.24, N = 3SE +/- 0.54, N = 3SE +/- 1.57, N = 3SE +/- 0.80, N = 3SE +/- 2.02, N = 12SE +/- 0.65, N = 3SE +/- 0.29, N = 3SE +/- 0.38, N = 3SE +/- 3.74, N = 3SE +/- 0.10, N = 3SE +/- 0.44, N = 3213.84215.55231.37235.52236.45240.28240.34260.66261.56278.41278.62MIN: 213.22 / MAX: 214.97MIN: 214.45 / MAX: 216.73MIN: 228.01 / MAX: 242MIN: 233.06 / MAX: 238.56MIN: 224.41 / MAX: 244.45MIN: 237.48 / MAX: 242.43MIN: 239.2 / MAX: 249.7MIN: 259.28 / MAX: 263.02MIN: 253.09 / MAX: 270.4MIN: 278.09 / MAX: 284.76MIN: 276.97 / MAX: 280.861. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Ryzen 9 5950XCore i9 10900KRyzen 9 5900XRyzen 7 3800XTCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 9 3950XRyzen 5 2600XRyzen 5 26004080120160200SE +/- 0.37, N = 3SE +/- 0.03, N = 3SE +/- 0.60, N = 3SE +/- 0.49, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 2.75, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.63, N = 3SE +/- 0.03, N = 3177.01176.07173.79168.05165.64162.65159.83157.47157.12148.86137.691. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -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.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxRyzen 7 3800XTRyzen 9 5900XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 5950XRyzen 9 3950XRyzen 5 2600XRyzen 5 2600Core i5 10600KCore i9 10900K1.23752.4753.71254.956.1875SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 4SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 34.34.34.44.44.44.44.55.05.25.45.51. firefox 81.0

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeRyzen 9 5900XRyzen 9 5950XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 2600XCore i9 10900KRyzen 5 2600Core i5 10600K1.14752.2953.44254.595.7375SE +/- 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 = 3SE +/- 0.05, N = 9SE +/- 0.03, N = 34.04.04.24.24.24.24.34.65.05.05.11. chrome 86.0.4240.75

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 5900XRyzen 9 5950XCore i9 10900KRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 9 3950XRyzen 5 2600XRyzen 5 260020406080100SE +/- 0.70, N = 3SE +/- 0.86, N = 3SE +/- 0.21, N = 3SE +/- 0.04, N = 3SE +/- 0.57, N = 3SE +/- 0.81, N = 3SE +/- 0.44, N = 3SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 1.02, N = 4SE +/- 1.19, N = 360.4562.5562.6466.2566.4667.7968.1669.0169.6472.4775.34

217 Results Shown

ACES DGEMM
Aircrack-ng
oneDNN
John The Ripper
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP32 - CPU
Intel Open Image Denoise
oneDNN:
  Deconvolution Batch deconv_3d - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
OpenVINO:
  Person Detection 0106 FP16 - CPU
  Person Detection 0106 FP32 - CPU
  Face Detection 0106 FP16 - CPU
  Face Detection 0106 FP32 - CPU
OpenVKL
OpenSSL
John The Ripper
TSCP
Embree
BRL-CAD
N-Queens
Embree
Chaos Group V-RAY
Kvazaar
SciMark
Kvazaar
m-queens
SVT-AV1
Embree
TTSIOD 3D Renderer
Blender
GraphicsMagick
asmFish
Tachyon
YafaRay
Rodinia
Stockfish
oneDNN
SVT-AV1
Smallpt
Tungsten Renderer
Embree
Blender
LuxCoreRender
ASTC Encoder
Kvazaar
Basis Universal
Timed MPlayer Compilation
ASTC Encoder
Tungsten Renderer
Kvazaar
LuxCoreRender
Kvazaar
Blender
TensorFlow Lite
Kvazaar
LAMMPS Molecular Dynamics Simulator
TensorFlow Lite:
  Mobilenet Float
  Inception V4
NAMD
POV-Ray
x265
oneDNN
C-Ray
GraphicsMagick
Timed Linux Kernel Compilation
TensorFlow Lite
Rodinia
Tungsten Renderer
Timed LLVM Compilation
Numenta Anomaly Benchmark
TensorFlow Lite
Timed FFmpeg Compilation
Appleseed
Basis Universal
7-Zip Compression
x264
SVT-VP9
Appleseed
Sunflow Rendering System
Polyhedron Fortran Benchmarks
Appleseed
NeatBench
Kvazaar:
  Bosphorus 1080p - Ultra Fast
  Bosphorus 1080p - Very Fast
GROMACS
Numenta Anomaly Benchmark
Timed ImageMagick Compilation
Mobile Neural Network:
  inception-v3
  SqueezeNetV1.0
Numenta Anomaly Benchmark
SciMark
libavif avifenc
OCRMyPDF
NCNN
libavif avifenc
SVT-VP9
dav1d
Timed PHP Compilation
Mobile Neural Network
TensorFlow Lite
dav1d
Mobile Neural Network
NCNN
DaCapo Benchmark
Numenta Anomaly Benchmark
Rodinia
Nebular Empirical Analysis Tool
NCNN
LibRaw
NCNN
Zstd Compression
AOM AV1
Zstd Compression
AOM AV1
PlaidML:
  No - Inference - ResNet 50 - CPU
  No - Inference - Inception V3 - CPU
NCNN:
  CPU - yolov4-tiny
  CPU - resnet50
Tungsten Renderer
AOM AV1
NCNN
Timed GDB GNU Debugger Compilation
AOM AV1
WireGuard + Linux Networking Stack Stress Test
PlaidML
Perl Benchmarks
Radiance Benchmark
Basis Universal
Numpy Benchmark
DaCapo Benchmark
Timed Apache Compilation
PyPerformance
NCNN
Radiance Benchmark
Timed MAFFT Alignment
VP9 libvpx Encoding
SciMark
SQLite Speedtest
PyPerformance
VP9 libvpx Encoding
Inkscape
GIMP
libjpeg-turbo tjbench
Crafty
ASTC Encoder
Selenium
Basis Universal
Selenium:
  Speedometer - Google Chrome
  StyleBench - Google Chrome
Timed MrBayes Analysis
Fhourstones
GraphicsMagick
Polyhedron Fortran Benchmarks
Monte Carlo Simulations of Ionised Nebulae
PyPerformance
LibreOffice
dav1d
Hierarchical INTegration
PyPerformance
Selenium
Montage Astronomical Image Mosaic Engine
Rodinia
RawTherapee
Selenium
PyPerformance
PyBench
Selenium
WebP Image Encode
LAME MP3 Encoding
eSpeak-NG Speech Engine
libavif avifenc
Caffe
WebP Image Encode
Perl Benchmarks
GNU Octave Benchmark
C-Blosc
FLAC Audio Encoding
DaCapo Benchmark
GIMP
Tesseract OCR
WebP Image Encode
libavif avifenc
CloverLeaf
WebP Image Encode
FFTE
Dolfyn
ctx_clock
Caffe
BYTE Unix Benchmark
GIMP
G'MIC
WebP Image Encode
NCNN
GEGL
Polyhedron Fortran Benchmarks
SciMark
RNNoise
Selenium
GEGL
Selenium
GEGL:
  Rotate 90 Degrees
  Crop
Selenium
GEGL
Selenium
GEGL
Mlpack Benchmark
Selenium
Botan
DeepSpeech
Botan
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
Botan
Selenium:
  Maze Solver - Firefox
  Maze Solver - Google Chrome
Mlpack Benchmark