Ryzen 7 5800X Linux Performance

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

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2011098-FI-AMDRYZEN983
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 3600X
October 29 2020
  12 Hours, 32 Minutes
Ryzen 7 3800XT
October 27 2020
  11 Hours, 40 Minutes
Ryzen 9 3900X
October 18 2020
  10 Hours, 45 Minutes
Ryzen 9 3900XT
October 17 2020
  10 Hours, 27 Minutes
Ryzen 9 3950X
October 15 2020
  9 Hours, 57 Minutes
Ryzen 5 5600X
November 05 2020
  11 Hours, 32 Minutes
Ryzen 7 5800X
November 07 2020
  10 Hours, 21 Minutes
Ryzen 9 5900X
October 19 2020
  10 Hours, 19 Minutes
Ryzen 9 5950X
October 21 2020
  8 Hours, 23 Minutes
Invert Hiding All Results Option
  10 Hours, 49 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 7 5800X Linux PerformanceProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionCore i5 10600KCore i9 10900KRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 7 5800XRyzen 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 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS)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 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS)Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads)AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)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 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 5 5600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- Ryzen 7 5800X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- 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 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 5 5600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 5800X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 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 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5950XResult OverviewPhoronix Test Suite100%174%248%323%ACES DGEMMm-queensJohn The RipperAircrack-ngN-QueensC-RayOpenVKLYafaRayTensorFlow LiteChaos Group V-RAYStockfishSmallptBRL-CADLuxCoreRenderTachyonasmFishEmbreeBlenderOpenSSLNAMDAppleseedPOV-RaySVT-AV1Timed MPlayer CompilationLAMMPS Molecular Dynamics SimulatorASTC EncoderTTSIOD 3D RendererTimed FFmpeg CompilationTimed Linux Kernel CompilationKvazaarTungsten Rendererx264x2657-Zip CompressionTimed LLVM CompilationRodiniaIntel Open Image DenoiseSunflow Rendering SystemOpenVINONeatBenchGraphicsMagickNumenta Anomaly BenchmarkoneDNNBasis UniversalTimed ImageMagick CompilationOCRMyPDFNebular Empirical Analysis ToolMobile Neural NetworkSVT-VP9Timed PHP CompilationGROMACSZstd CompressionPlaidMLNCNNWireGuard + Linux Networking Stack Stress Testlibavif avifencTimed MAFFT AlignmentDeepSpeechCloverLeafPolyhedron Fortran BenchmarksFFTEdav1dTSCPLibRawC-BloscRNNoiseRadiance BenchmarkSciMarkMonte Carlo Simulations of Ionised Nebulaectx_clockInkscapeHierarchical INTegrationRawTherapeeSQLite SpeedtestFhourstonesNumpy BenchmarkDaCapo BenchmarkCraftyLAME MP3 EncodingDolfynAOM AV1TNNTimed GDB GNU Debugger CompilationTimed MrBayes AnalysisTesseract OCRGNU Octave BenchmarkTimed Apache CompilationeSpeak-NG Speech Enginelibjpeg-turbo tjbenchBYTE Unix BenchmarkLibreOfficeVP9 libvpx EncodingMontage Astronomical Image Mosaic EngineGIMPMlpack BenchmarkSeleniumWebP Image EncodePyPerformancePerl BenchmarksGEGLPyBenchFLAC Audio EncodingG'MICBotan

Ryzen 7 5800X Linux Performancemt-dgemm: Sustained Floating-Point Ratem-queens: Time To Solvejohn-the-ripper: Blowfishaircrack-ng: n-queens: Elapsed Timetensorflow-lite: Inception ResNet V2tensorflow-lite: Mobilenet Floattensorflow-lite: Inception V4c-ray: Total Time - 4K, 16 Rays Per Pixeltensorflow-lite: SqueezeNetjohn-the-ripper: MD5openvkl: vklBenchmarkastcenc: Exhaustivetensorflow-lite: Mobilenet Quantyafaray: Total Time For Sample Scenerodinia: OpenMP LavaMDastcenc: Thoroughonednn: Deconvolution Batch deconv_1d - f32 - CPUv-ray: CPUstockfish: Total Timesmallpt: Global Illumination Renderer; 128 Samplesembree: Pathtracer ISPC - Crownluxcorerender: DLSCbrl-cad: VGR Performance Metricbasis: UASTC Level 3embree: Pathtracer - Crownblender: Fishy Cat - CPU-Onlygraphics-magick: Enhancedblender: Classroom - CPU-Onlytachyon: Total Timerodinia: OpenMP CFD Solverasmfish: 1024 Hash Memory, 26 Depthtungsten: Non-Exponentialkvazaar: Bosphorus 4K - Slowluxcorerender: Rainbow Colors and Prismtungsten: Volumetric Caustictungsten: Hairopenssl: RSA 4096-bit Performancekvazaar: Bosphorus 4K - Mediumembree: Pathtracer ISPC - Asian Dragonnamd: ATPase Simulation - 327,506 Atomsappleseed: Emilysvt-av1: Enc Mode 8 - 1080pblender: BMW27 - CPU-Onlyembree: Pathtracer - Asian Dragonappleseed: Disney Materialbasis: UASTC Level 2mnn: MobileNetV2_224povray: Trace Timegraphics-magick: Resizingappleseed: Material Testerbuild-mplayer: Time To Compilelammps: Rhodopsin Proteinopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUsvt-av1: Enc Mode 4 - 1080pttsiod-renderer: Phong Rendering With Soft-Shadow Mappingonednn: Deconvolution Batch deconv_3d - f32 - CPUkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumbuild-ffmpeg: Time To Compilekvazaar: Bosphorus 4K - Ultra Fastbuild-linux-kernel: Time To Compilekvazaar: Bosphorus 4K - Very Fastx264: H.264 Video Encodingx265: Bosphorus 4Kcompress-7zip: Compress Speed Testnumenta-nab: Earthgecko Skylinebuild-llvm: Time To Compiletensorflow-lite: NASNet Mobileoidn: Memorialopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUsunflow: Global Illumination + Image Synthesispolyhedron: linpkneatbench: CPUnumenta-nab: Windowed Gaussianonednn: IP Batch 1D - f32 - CPUcompress-zstd: 3numenta-nab: Relative Entropynumenta-nab: Bayesian Changepointncnn: CPU-v2-v2 - mobilenet-v2avifenc: 0svt-vp9: Visual Quality Optimized - Bosphorus 1080pscimark2: Fast Fourier Transformavifenc: 2kvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastmnn: SqueezeNetV1.0build-imagemagick: Time To Compileopenvino: Person Detection 0106 FP32 - CPUocrmypdf: Processing 60 Page PDF Documentopenvino: Person Detection 0106 FP16 - CPUncnn: CPU-v3-v3 - mobilenet-v3neat: ncnn: CPU - efficientnet-b0rodinia: OpenMP Leukocytedav1d: Chimera 1080pncnn: CPU - googlenetbuild-php: Time To Compilemnn: resnet-v2-50gromacs: Water Benchmarksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pplaidml: No - Inference - ResNet 50 - CPUastcenc: Mediumcompress-zstd: 19plaidml: No - Inference - Mobilenet - CPUdav1d: Summer Nature 4Kwireguard: plaidml: No - Inference - Inception V3 - CPUncnn: CPU - mobilenettungsten: Water Causticonednn: IP Batch All - f32 - CPUmafft: Multiple Sequence Alignment - LSU RNAncnn: CPU - squeezenetdacapobench: Tradesoapselenium: WASM collisionDetection - Firefoxdeepspeech: CPUscimark2: Dense LU Matrix Factorizationcaffe: AlexNet - CPU - 200cloverleaf: Lagrangian-Eulerian Hydrodynamicsffte: N=256, 3D Complex FFT Routinetscp: AI Chess Performancencnn: CPU - yolov4-tinylibraw: Post-Processing Benchmarkgraphics-magick: Rotateblosc: blosclzpolyhedron: airselenium: WASM collisionDetection - Google Chromernnoise: radiance: SMP Parallelradiance: Serialmnn: inception-v3caffe: GoogleNet - CPU - 200basis: UASTC Level 0rodinia: OpenMP HotSpot3Dncnn: CPU - resnet50basis: ETC1Saom-av1: Speed 8 Realtimencnn: CPU - resnet18mocassin: Dust 2D tau100.0ctx-clock: Context Switch Timeinkscape: SVG Files To PNGhint: FLOATmlpack: scikit_svmrawtherapee: Total Benchmark Timesqlite-speedtest: Timed Time - Size 1,000dacapobench: Jythonfhourstones: Complex Connect-4 Solvingnumpy: dav1d: Chimera 1080p 10-bitperl-benchmark: Pod2htmlpolyhedron: proteincrafty: Elapsed Timeencode-mp3: WAV To MP3dolfyn: Computational Fluid Dynamicsopenvino: Age Gender Recognition Retail 0013 FP32 - CPUtnn: CPU - SqueezeNet v1.1build-gdb: Time To Compileopenvino: Person Detection 0106 FP16 - CPUmrbayes: Primate Phylogeny Analysistnn: CPU - MobileNet v2aom-av1: Speed 6 Realtimetesseract-ocr: Time To OCR 7 Imagesoctave-benchmark: selenium: ARES-6 - Google Chromeaom-av1: Speed 6 Two-Passbuild-apache: Time To Compileaom-av1: Speed 4 Two-Passopenvino: Age Gender Recognition Retail 0013 FP16 - CPUgimp: auto-levelsespeak: Text-To-Speech Synthesisvpxenc: Speed 5selenium: Maze Solver - Firefoxgimp: resizewebp: Quality 100, Highest Compressionopenvino: Person Detection 0106 FP32 - CPUtjbench: Decompression Throughputbyte: Dhrystone 2libreoffice: 20 Documents To PDFpyperformance: regex_compiledacapobench: H2selenium: Kraken - Google Chromeselenium: Jetstream 2 - Google Chromevpxenc: Speed 0avifenc: 8selenium: Maze Solver - Google Chromeopenvino: Face Detection 0106 FP32 - CPUselenium: StyleBench - Google Chromepyperformance: python_startupmontage: Mosaic of M17, K band, 1.5 deg x 1.5 degpyperformance: pathlibwebp: Defaultwebp: Quality 100gegl: Rotate 90 Degreesopenvino: Face Detection 0106 FP16 - CPUgimp: rotategegl: Scalepyperformance: raytracegegl: Color Enhanceselenium: Speedometer - Google Chromegegl: Antialiaswebp: Quality 100, Losslesspybench: Total For Average Test Timesscimark2: Compositeavifenc: 10gegl: Reflectgegl: Cropselenium: WASM imageConvolute - Google Chromewebp: Quality 100, Lossless, Highest Compressionscimark2: Monte Carlobotan: Twofishencode-flac: WAV To FLACselenium: WASM imageConvolute - Firefoxgmic: Plotting Isosurface Of A 3D Volume, 1000 Timespyperformance: nbodyperl-benchmark: Interpreterbotan: Blowfishmlpack: scikit_qdaselenium: Kraken - Firefoxselenium: Jetstream 2 - Firefoxbotan: CAST-256ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU - alexnetmnn: mobilenet-v1-1.0ncnn: CPU - blazefacencnn: CPU - vgg16Core i5 10600KCore i9 10900KRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5950X2.740891108.0631302225302.45418.7593938063202481435082394.601296354752998114.36306.90205404198.112306.48038.015.45967112611965307914.2049.79461.2610149880.0778.5744288.99150631.26120.639828.486222944788.899843.931.4012.232235.67852038.24.0412.33702.08559511.74159621.379203.6910.0729305.76626941.3993.40159.339739282.58094547.8275.2935477.655506.562.707417.5268.7191016.1216.6770.33920.85106.42911.4775.1412.5641897152.563807.2902367046.872.112.10344.9201.2952.6414.414.1294.336473633.424.80044.9375.33106.409122.76265.7863.89943.8279.105.65135.4331.2829.4981.284.4119.6796.83131.403550.5214.9266.25632.4750.842154.536.489.4537.214.48143.26174.7187.8818.7929.795364.94488.75016.173977450.864.068621084.83895844.0434083.368614570148219527.7936.9486210868.22368.444222.370192.56611.63938.4702316837.59591.89829.2052.40845.8114.8920717820.864481073602.7039022.3860.92849.054367615846.1413.80102.720.1006397612.3591961547.39717.131278.408110.03068.834294.96621.7020.3466.19017.054.1721.4792.6111.20326.77228.665.47.9266.387223.57064847964784.26.5681402778757.0153.2407.885.4345.136.806.9370.28315.21.3742.11535.09510.8185.63937352.52713534.12315.452820741.225.10227.0357.68129.417733.155165.10420.5837.58729.017.34898.70.00073281523.67369.01745.5106.603165.6385.30324059.6062359145909.65410.3532139593114230237293052.1271675951331333192.75170.21117619109.474170.15221.312.9625319765357268137.90517.70412.2118381046.53815.4247162.99269352.1665.983518.343403924595.146036.802.467.0072820.07033712.36.9620.42991.23607299.90506938.233114.7017.6307178.12403525.1772.82333.7311264166.40925829.0388.7019817.409817.084.320706.1534.7876628.3929.3644.86935.2563.94619.57126.1918.816477293.113506.57314769411.103.343.29214.0880.7812.2818.38.0993.285622922.316.99033.1405.0671.859186.01390.0042.77269.90129.644.33124.7381.9319.8371.934.0014.2345.8982.982785.8713.2847.79325.3100.977210.087.386.8030.317.06183.54176.7399.2116.4123.582257.16758.70214.042884419.178.017431176.07753135.6425630.005048964157277025.0041.5094510815.81.99340.681821.061183.252588.16129.4271960746.37183.89124.2843.30149.0413.5616615019.857511718743.4027920.3653.66746.564331917624.8451.53131.940.0976578111.64100874186.96616.398261.56487.42963.630282.64525.6719.1745.89715.824.6518.0402.9210.44225.30230.345.56.8046.024237.25654952005432.96.2891342747754.9163.6788.084.5385.035.26.7466.37114.31.2942.00932.35510.4045.31135349.23113831.72915.084773829.304.37925.4507.46127.752731.120179.16446.4537.17326.816.04793.00.00070228556.85262.64709.4113.690176.0742.28521190.2271048122344.14818.0123356693171301371310782.44125119972408394.03274.19175736180.782309.60634.376.59016114092087177113.5178.30251.339392973.8258.6544271.38157596.32117.555227.1602174715410.43784.501.4213.511433.16891806.44.599.51202.86995470.17801218.512205.389.6303291.01102338.6673.96058.728760265.41986243.9005.2665700.855795.792.465420.4579.0233617.8918.3665.26622.84100.40412.7577.1911.7043855150.813748.5642136446.361.681.68318.3391.3403.1318.913.9825.736874561.324.81036.3415.64101.968109.32306.4561.33948.1485.576.56233.4471.2830.1491.295.0818.0487.36127.402438.4917.0364.41230.2570.733134.256.599.602714.76145.19197.3748.9418.8330.481371.456311.42417.884395367.757.698221003.69975874.9034238.231086660132783829.7939.0275411552.01.63285.664218.260172.484549.02136.0232379087.62087.08631.6051.35138.2017.5723319023.878390856008.0838419.1063.40957.300421515263.7415.9997.930.1164324712.1489120187.06716.154240.275109.63669.253257.79719.2622.6156.57318.973.9722.7252.5611.59027.48025.994.48.2366.916221.21979943647479.36.4811583090721.3148.9767.695.3224.235.337.5372.08616.11.4342.18938.55211.1305.52842755.211136.536.75215.618888716.754.97029.6708.02627.89932.530159.39390.4717.69527.018.6581050.00073548480.70166.25737.2105.770157.4653.00462365.3401449430745.60512.9992351497120735260084060.023180202991599128.78199.87123482133.841226.99525.134.4887615422278084419.84711.04821.8013182754.96711.5679200.06215433.3787.941022.290291580777.583435.961.939.8793024.37442490.66.0712.40072.11711349.39828828.004150.7612.5210214.51075929.3223.37542.7671031199.4298333.9286.8807092.347134.903.347545.5436.8655725.5426.2051.24030.1376.68516.9598.3212.4856370113.800586.1621567687.651.941.94262.9991.0073.1221.99.6256.236464265.919.00632.7175.5580.884119.86262.4848.52460.10112.906.03427.9651.5224.0271.564.8314.9687.01118.735514.3216.0554.14429.5320.823149.996.927.9832.315.65171.17183.7169.7917.0825.880164.020111.01816.293663347.761.243511010.57961295.0637466.482170039140183228.0341.7679411505.51.55270.447217.337167.356529.70432.4582344406.79780.93828.4745.82638.5916.9221115623.778406360022.7610918.4357.83753.977396516160.1432.12105.060.1101887711.5488052876.65815.382231.37499.06266.905246.79119.4721.7516.48418.064.2021.2032.7111.23926.07726.994.37.6736.567232.68621744883700.96.2071502908686.9155.6178.084.7334.236.57.1969.19315.21.3672.09936.46010.8115.23840652.447143.234.73815.036871732.754.45628.3557.75726.459531.204168.24411.2677.34025.417.7671000.00069996499.69166.46708.1107.560168.0454.16796546.7402024442773.9749.245179501393903.6199907042.8941381011366667177.75145.0996280.2103.713164.70518.393.2643720910381243117.09214.95942.4018374441.27415.6590146.60298317.0373.970213.597388368735.809237.372.647.4219517.93313489.87.5116.52551.54488267.06675535.947111.6116.8430161.51386522.8783.98831.5341432160.12771225.7679.2629125.699097.744.411670.0945.0846027.3428.1340.48236.0857.90720.64136.3219.377690986.301446.17914036811.042.782.78232.6570.8423.224.78.6133.800314499.816.25828.1345.4068.184180.89310.8641.11062.50117.567.23423.2212.0721.0272.104.7513.4776.6188.589586.7817.3846.78533.0741.133202.637.147.0738.716.40197.62196.11710.5916.4924.110251.42388.90715.953389369.665.371621000.221073563.8936851.901582848137697228.9043.1976611595.21.6280.247718.522171.793546.88831.5472627386.71581.10427.8244.34938.0316.7021119024.213401445819.0321918.7954.34155.784399015451.0409.49110.590.1109599512.2392680707.08116.128235.51894.92572.744256.33919.8223.0666.75518.564.1620.9192.6811.91626.80725.834.47.4916.804229.31308744081890.76.5061583130715.3151.4237.734.6164.236.28.1271.62115.81.4142.17537.45911.1455.55042854.672140.236.78215.258888717.424.39529.4658.05728.499232.012159.96403.6517.57926.718.1961030.00074999492.73567.79745.9105.141162.6474.23653445.8202072943919.3079.068176101092214.2196194042.0301356021413667182.97140.2794517.0100.553159.41317.813.1530421517389153956.94415.28732.5018852240.66616.0926141.23301303.7260.119113.294400823095.793387.562.737.2496017.37953551.07.7116.83231.49526259.32907736.592106.8016.9900156.53011122.6314.02230.5801415155.82342225.0639.4878748.798760.844.493684.3905.2536627.6628.5639.51836.8756.77621.16139.0919.657755083.189432.30213901410.462.622.61220.2150.8053.2225.18.1874.813804483.516.02626.8555.3967.303180.29371.2940.42763.26119.077.23522.7661.9920.5551.974.7513.2266.6286.786585.4717.3146.27133.4681.136198.207.037.0438.916.38197.64194.85110.6116.5023.826956.22748.97316.393348360.765.578421019.651058033.9935670.008724723138520628.6843.5972611473.91.57270.843217.406170.083526.45732.4842589726.76079.75627.6643.54938.3216.4820517723.776385672695.9505618.9053.50956.773396315572.8425.55110.900.1133821212.1290715286.96415.636236.44794.03369.941255.50519.6423.0036.59518.384.1820.6742.7111.87626.71125.644.47.3816.555221.00297044714220.66.3551533050705.8152.9317.804.5864.236.38.0168.88815.41.3652.08837.19111.1165.45641353.688142.435.98814.855866743.574.33629.0697.94327.088032.579163.05393.7177.53826.218.2701010.00075364488.01468.16714.9107.146159.8345.47673333.8402809658788.4706.704128840766530.3143240331.3261005271868000236.58105.6368497.979.697120.53313.552.4760628416524073675.20019.87463.2924807731.64821.0440107.97407230.9446.372310.819529294844.3847310.263.645.6144013.53834743.410.4021.66351.14997208.35789243.33081.7721.8692119.85719718.3045.71623.5101829125.26033120.77511.54112650.2412280.855.320829.7864.2971336.2637.1633.46745.9247.35825.17162.4923.099007177.852364.32711719912.893.253.27207.1210.6973.0327.37.2764.039264059.114.73025.6565.8259.399200.83374.1935.67582.24145.918.16220.5762.4318.7312.435.1512.2427.1077.777619.2119.2442.37342.1291.236217.137.226.2739.516.85201.96195.77911.1517.1221.226347.47228.59115.973460362.263.230641022.731056173.8638565.531315546140725329.0844.5779911474.91.59280.031817.238169.173522.73536.9842651316.36579.92529.9142.25538.9017.9119917523.917406108737.6755219.1352.39155.072394615875.8422.17113.750.1105951312.0391954036.89415.568240.33590.54770.243258.82719.4722.7406.46918.514.1820.2142.7212.25026.67725.374.57.2896.748225.70937244123395.76.4121533255700.5152.1517.834.4534.336.48.1069.70215.61.3692.16137.23211.2655.49941754.089141.836.63615.638876751.354.30529.1818.07427.32432.301165.36400.1197.45526.918.3331020.00076862501.99069.64731.0105.020157.1204.01964970.7441630132451.24813.4362946000150133326758071.904220801963686125.94231.33164490146.319231.62128.894.92077143102458435111.60610.39121.6111665260.72810.6691233.69176525.7199.660821.283272751927.464495.161.6710.250327.19912027.35.2512.17752.37935397.23785822.596178.1711.9231258.69391131.6662.69150.221915225.90436838.5746.0526222.636330.562.961576.3807.6032420.4720.9856.22326.2289.84414.6393.5814.4754132121.686687.9671804176.971.801.78282.7511.0191.5522.012.3084.223376000.420.23531.0353.1088.135126.8338.3453.52755.5699.924.92129.8151.2625.3061.292.9015.1674.24106.397545.0911.3955.96125.0380.876153.9010.368.0933.520.34173.18129.37510.2712.8526.627668.37358.51512.373531306.950.495851476.82742544.5136604.364895923190055720.3949.12103515561.01.37260.757515.882133.294437.94531.6491937366.14170.55824.7843.66451.5312.7120314817.840509667296.9128616.7953.29443.061331320100.7543.12117.340.089303349.4111919625.73713.1370.63216.95799.3063087.0854.525227.65724.5318.1095.20614.975.0619.2763.200.629.59321.64632.834.36.8275.4543144.77276.46095454945549.95.2651262519606.8185.2049.684.8644.02244.4843.457.2158.14213.21.1771.82131.9832225.209.2244.63635246.150163.230.88813.261739830.954.57425.0596.75224.627327.908185.18453.5196.59824.416.26790.10.00068638539.21862.79664.5115.921169.1842.872.1715.304.2930.9861.725.20502854.3572134444048.29510.2722159383110856239146054.8601658191297667168.42170.39122169108.674168.86421.373.5395118824325203198.84513.84352.1116227246.74114.1771176.14228396.7773.416717.104350986295.691636.792.277.6588120.44662636.46.9215.31521.78164305.74350732.975134.5415.2451196.74109924.8162.21537.3281187171.69581530.5277.1158332.978400.293.934733.4285.4997329.1730.0345.32834.7771.21319.50112.9015.146608791.563548.7641374249.052.272.27206.3050.7861.5325.89.0513.121334715.816.68028.1272.8871.481134.96471.0543.36469.34129.304.16525.2201.6520.5431.722.6812.8713.90101.563646.1510.7547.70323.8360.990169.8011.046.8737.121.95198.88123.08911.3511.7923.275157.68008.50811.522962292.454.999461520.85708194.7035513.873208264198983019.8952.29107215924.61.36250.926815.239131.4421.39426.5071826975.64467.50522.0939.86553.6012.7819415217.414530810166.9489816.1649.31641.677316520877.6558.28124.600.087341609.11118513265.49912.7750.47208.12391.2252313.8855.098221.11525.4617.3615.09314.315.2617.9753.360.479.29120.92433.234.26.3015.2942411.82287.73176356745146.95.0661222592587.6191.7059.834.47441760.6644.226.7856.79412.71.1321.75630.5821765.428.9594.48834244.36116829.57912.861728885.754.22824.1646.58924.016827.089194.38474.3716.33823.915.76788.70.00066754562.59759.78645.8120.204176.4352.591.9814.374.1530.9661.217.43124937.5433021461777.8537.206159801383458.7178038037.7831231271840667233.83121.9491290.480.393123.33915.412.7246726420456012556.16019.46792.9321592533.79919.9229124.61330277.9652.357912.172493487124.683108.473.135.9566415.67943858.38.6020.47981.27408224.29356843.14895.0220.3789142.64962618.7153.05827.4171610134.44918622.02310.71910990.5410933.335.315873.7024.7167030.5631.4734.15541.7052.26823.74158.8123.548943770.611402.44212222911.913.063.06179.8670.6841.5328.37.4953.003385879.813.25322.7704.1458.650206.64495.7935.20669.63130.306.11119.5242.1917.1922.203.9911.0165.1972.564661.3912.6840.11527.0561.284226.2611.086.0144.623.20228.06155.87612.4312.3621.253248.41017.36512.952836291.458.402331485.05783473.7337925.620893458196007421.8153.42105614645.41.36253.650015.613134.279430.23626.8812006765.42666.74424.2937.39553.1913.3217914818.317517301573.2623416.4845.85341.538306820018.5550.69128.470.085733409.28114048385.62112.840215.54683.57656.992227.29425.3019.3755.19314.815.2617.2933.369.91521.31831.124.36.3445.340281.14961155937330.15.1421232656589.9188.9169.514.2644.044.86.3857.35512.71.1531.74330.8839.3204.59334445.05416730.55912.629730871.934.13824.5336.74724.236527.616189.65461.3626.44024.115.96788.70.00065021548.74860.45663.0117.138173.7909.06539629.5473830574570.4225.655121223762588.7134695730.22094678.22226000286.17101.2567914.566.152103.61612.852.2761032561567423504.93723.78423.5926707128.25924.2757102.26420226.1543.462610.267599435193.7882710.803.814.9661413.13984897.310.9425.58971.07098192.18022348.71278.2825.0722117.66909715.9603.84923.0111893111.38978419.02013.09113518.2913580.756.0631025.443.7158738.4339.3729.81848.9945.42126.59172.7526.509477967.899361.16610637213.743.623.61161.2230.6271.5430.36.7643.209104896.112.23522.1964.3752.752220.35521.0532.19986.94155.816.44818.1712.4515.5822.474.1610.3635.2569.810688.7013.4337.36928.3781.290234.1411.245.6044.223.64231.45149.62112.6112.6519.472845.73547.35013.302925297.759.646801501.03809243.8536137.493677561197077622.6354.99104214032.51.36254.152215.372135.234426.5326.7982142395.25263.86225.4836.77852.9414.6218013618.545535283139.7758716.1746.34042.682306620223.0542.76133.140.086593979.22115195675.56212.820213.83882.46561.580228.34225.4519.3495.18014.755.2417.1893.3810.31421.46430.814.46.2985.334281.52849856105538.15.1261232712590.1187.7199.504.258444.46.4257.71612.71.1451.72930.8519.4314.64134445.045167.030.73812.764718885.604.13324.6686.84224.573827.271192.12465.9026.37324.115.74489.00.00064973550.62862.55673.1117.721177.013OpenBenchmarking.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 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 5 5600XRyzen 7 3800XTCore i5 10600KRyzen 5 3600X3691215SE +/- 0.129211, N = 3SE +/- 0.081541, N = 3SE +/- 0.064485, N = 15SE +/- 0.042599, N = 3SE +/- 0.045288, N = 3SE +/- 0.056961, N = 3SE +/- 0.046914, N = 7SE +/- 0.063332, N = 3SE +/- 0.031737, N = 8SE +/- 0.010830, N = 3SE +/- 0.031404, N = 39.0653967.4312495.4767335.3032405.2050284.2365344.1679654.0196493.0046232.7408912.2852111. (CC) gcc options: -O3 -march=native -fopenmp

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 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K20406080100SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 329.5533.8437.5445.8246.7454.3659.6165.3470.7490.23108.061. (CXX) g++ options: -fopenmp -O2 -march=native

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 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 5 5600XRyzen 7 3800XTCore i5 10600KRyzen 5 3600X8K16K24K32K40KSE +/- 100.07, N = 3SE +/- 53.48, N = 3SE +/- 35.59, N = 3SE +/- 35.89, N = 3SE +/- 27.14, N = 3SE +/- 62.78, N = 3SE +/- 49.65, N = 3SE +/- 10.67, N = 3SE +/- 22.65, N = 3SE +/- 1.20, N = 3SE +/- 8.45, N = 33830530214280962359121344207292024416301144941302210481-lgmp-lgmp-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

Aircrack-ng

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

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Ryzen 9 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 5 5600XRyzen 7 3800XTCore i5 10600KRyzen 5 3600X16K32K48K64K80KSE +/- 44.40, N = 3SE +/- 55.59, N = 3SE +/- 24.81, N = 3SE +/- 14.95, N = 3SE +/- 29.84, N = 3SE +/- 14.11, N = 3SE +/- 45.94, N = 3SE +/- 21.62, N = 3SE +/- 22.25, N = 3SE +/- 7.26, N = 3SE +/- 13.11, N = 374570.4261777.8558788.4745909.6544048.3043919.3142773.9732451.2530745.6125302.4522344.151. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

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 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K510152025SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.014, N = 3SE +/- 0.012, N = 3SE +/- 0.010, N = 3SE +/- 0.002, N = 3SE +/- 0.015, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 35.6556.7047.2069.0689.24510.27210.35312.99913.43618.01218.7591. (CC) gcc options: -static -fopenmp -O3 -march=native

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore 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 +/- 333.18, N = 3SE +/- 651.16, N = 3SE +/- 979.40, N = 3SE +/- 752.71, N = 3SE +/- 2574.96, N = 312122371288407159801317610101795013213959321593832351497294600033566933938063

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K40K80K120K160K200KSE +/- 43.98, N = 3SE +/- 58.97, N = 3SE +/- 47.41, N = 3SE +/- 28.10, N = 3SE +/- 43.17, N = 3SE +/- 38.40, N = 3SE +/- 153.73, N = 3SE +/- 54.42, N = 3SE +/- 28.62, N = 3SE +/- 32.84, N = 3SE +/- 52.68, N = 362588.766530.383458.792214.293903.6110856.0114230.0120735.0150133.0171301.0202481.0

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ryzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore 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 +/- 223.68, N = 3SE +/- 1145.44, N = 3SE +/- 515.65, N = 3SE +/- 2496.69, N = 3SE +/- 2267.19, N = 313469571432403178038019619401999070237293023914602600840326758037131074350823

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K20406080100SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 330.2231.3337.7842.0342.8952.1354.8660.0271.9082.4494.601. (CC) gcc options: -lm -lpthread -O3

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K60K120K180K240K300KSE +/- 64.29, N = 3SE +/- 47.83, N = 3SE +/- 69.62, N = 3SE +/- 149.12, N = 3SE +/- 17.57, N = 3SE +/- 51.27, N = 3SE +/- 7.51, N = 3SE +/- 92.04, N = 3SE +/- 81.10, N = 3SE +/- 12.72, N = 3SE +/- 9.85, N = 394678.2100527.0123127.0135602.0138101.0165819.0167595.0180202.0220801.0251199.0296354.0

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X500K1000K1500K2000K2500KSE +/- 577.35, N = 3SE +/- 9609.02, N = 3SE +/- 2027.59, N = 3SE +/- 1666.67, N = 3SE +/- 1201.85, N = 3SE +/- 10837.18, N = 3SE +/- 1666.67, N = 3SE +/- 1317.78, N = 3SE +/- 1193.14, N = 3SE +/- 620.08, N = 3SE +/- 390.65, N = 32226000186800018406671413667136666713313331297667991599963686752998724083-lgmp-lgmp-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X60120180240300SE +/- 0.05, N = 3SE +/- 0.73, N = 3SE +/- 1.28, N = 3SE +/- 0.35, N = 3SE +/- 0.49, N = 3SE +/- 0.24, N = 3SE +/- 0.44, N = 3SE +/- 0.22, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3286.17236.58233.83192.75182.97177.75168.42128.78125.94114.3694.03MIN: 1 / MAX: 1102MIN: 1 / MAX: 853MIN: 1 / MAX: 918MIN: 1 / MAX: 767MIN: 1 / MAX: 652MIN: 1 / MAX: 634MIN: 1 / MAX: 670MIN: 1 / MAX: 463MIN: 1 / MAX: 503MIN: 1 / MAX: 458MIN: 1 / MAX: 339

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K70140210280350SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.37, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3101.25105.63121.94140.27145.09170.21170.39199.87231.33274.19306.901. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K40K80K120K160K200KSE +/- 45.89, N = 3SE +/- 29.88, N = 3SE +/- 56.67, N = 3SE +/- 14.97, N = 3SE +/- 68.68, N = 3SE +/- 268.60, N = 3SE +/- 38.44, N = 3SE +/- 113.90, N = 3SE +/- 45.21, N = 3SE +/- 18.84, N = 3SE +/- 26.52, N = 367914.568497.991290.494517.096280.2117619.0122169.0123482.0164490.0175736.0205404.0

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 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K4080120160200SE +/- 0.16, N = 3SE +/- 0.49, N = 3SE +/- 0.08, N = 3SE +/- 0.56, N = 3SE +/- 0.27, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3SE +/- 0.20, N = 3SE +/- 0.22, N = 3SE +/- 1.12, N = 366.1579.7080.39100.55103.71108.67109.47133.84146.32180.78198.111. (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 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X70140210280350SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.41, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.29, N = 3SE +/- 0.85, N = 3SE +/- 0.27, N = 3SE +/- 0.14, N = 3SE +/- 0.79, N = 3SE +/- 0.13, N = 3103.62120.53123.34159.41164.71168.86170.15227.00231.62306.48309.611. (CXX) g++ options: -O2 -lOpenCL

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K918273645SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 312.8513.5515.4117.8118.3921.3121.3725.1328.8934.3738.011. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X246810SE +/- 0.00617, N = 3SE +/- 0.00820, N = 3SE +/- 0.00462, N = 3SE +/- 0.01117, N = 3SE +/- 0.00634, N = 3SE +/- 0.03302, N = 3SE +/- 0.00626, N = 3SE +/- 0.06515, N = 15SE +/- 0.01194, N = 3SE +/- 0.02430, N = 3SE +/- 0.02579, N = 32.276102.476062.724672.962533.153043.264373.539514.488764.920775.459676.59016MIN: 2.2MIN: 2.42MIN: 2.66MIN: 2.92MIN: 3.08MIN: 3.14MIN: 3.44MIN: 4.22MIN: 4.73MIN: 5.25MIN: 6.321. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K7K14K21K28K35KSE +/- 90.96, N = 3SE +/- 105.68, N = 3SE +/- 55.57, N = 3SE +/- 54.08, N = 3SE +/- 51.29, N = 3SE +/- 95.40, N = 3SE +/- 9.94, N = 3SE +/- 50.98, N = 3SE +/- 53.82, N = 3SE +/- 45.92, N = 3SE +/- 22.70, N = 33256128416264202151720910197651882415422143101140911261

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K12M24M36M48M60MSE +/- 325858.19, N = 3SE +/- 127032.63, N = 3SE +/- 241698.18, N = 3SE +/- 140100.66, N = 3SE +/- 69587.97, N = 3SE +/- 66368.72, N = 3SE +/- 96227.67, N = 3SE +/- 154542.53, N = 3SE +/- 136771.99, N = 3SE +/- 72350.39, N = 3SE +/- 21979.47, N = 356742350524073674560125538915395381243113572681332520319278084412458435120871771196530791. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K48121620SE +/- 0.022, N = 3SE +/- 0.003, N = 3SE +/- 0.019, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.013, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.017, N = 3SE +/- 0.004, N = 3SE +/- 0.057, N = 34.9375.2006.1606.9447.0927.9058.8459.84711.60613.51714.2041. (CXX) g++ options: -fopenmp -O3

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X612182430SE +/- 0.1054, N = 3SE +/- 0.1561, N = 3SE +/- 0.0395, N = 3SE +/- 0.0304, N = 3SE +/- 0.0220, N = 3SE +/- 0.0177, N = 3SE +/- 0.0349, N = 3SE +/- 0.0316, N = 3SE +/- 0.1142, N = 3SE +/- 0.1152, N = 3SE +/- 0.0234, N = 323.784219.874619.467917.704115.287314.959413.843511.048210.39129.79468.3025MIN: 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: 13.69 / MAX: 14.23MIN: 10.81 / MAX: 11.32MIN: 9.88 / MAX: 10.68MIN: 9.48 / MAX: 10.12MIN: 8.23 / MAX: 8.46

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K0.80781.61562.42343.23124.039SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.593.292.932.502.402.212.111.801.611.331.26MIN: 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: 2 / MAX: 2.2MIN: 1.72 / MAX: 1.86MIN: 1.53 / MAX: 1.65MIN: 1.26 / MAX: 1.37MIN: 1.22 / MAX: 1.28

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X60K120K180K240K300K26707124807721592518852218381018374416227213182711665210149893929-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

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K20406080100SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 328.2631.6533.8040.6741.2746.5446.7454.9760.7373.8380.081. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K612182430SE +/- 0.1569, N = 3SE +/- 0.0376, N = 3SE +/- 0.1287, N = 3SE +/- 0.0477, N = 3SE +/- 0.0537, N = 3SE +/- 0.0182, N = 3SE +/- 0.0933, N = 3SE +/- 0.0479, N = 3SE +/- 0.0102, N = 3SE +/- 0.0259, N = 3SE +/- 0.0261, N = 324.275721.044019.922916.092615.659015.424714.177111.567910.66918.65448.5744MIN: 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: 13.98 / MAX: 14.61MIN: 11.44 / MAX: 11.85MIN: 10.59 / MAX: 10.83MIN: 8.58 / MAX: 8.85MIN: 8.48 / MAX: 8.74

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K60120180240300SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.98, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.45, N = 3102.26107.97124.61141.23146.60162.99176.14200.06233.69271.38288.99

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K90180270360450SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 34204073303012982692282151761571501. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K140280420560700SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.31, N = 3SE +/- 0.24, N = 3SE +/- 0.42, N = 3SE +/- 0.66, N = 3SE +/- 0.36, N = 3SE +/- 0.22, N = 3SE +/- 0.50, N = 3SE +/- 0.62, N = 3SE +/- 1.21, N = 3226.15230.94277.96303.72317.03352.16396.77433.37525.71596.32631.26

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 7 5800XRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K306090120150SE +/- 0.10, N = 3SE +/- 0.47, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 1.12, N = 3SE +/- 0.87, N = 3SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 1.56, N = 443.4646.3752.3660.1265.9873.4273.9787.9499.66117.56120.641. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -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 CFD SolverRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XRyzen 7 5800XCore i9 10900KRyzen 5 5600XRyzen 7 3800XTRyzen 5 3600XCore i5 10600K714212835SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 310.2710.8212.1713.2913.6017.1018.3421.2822.2927.1628.491. (CXX) g++ options: -O2 -lOpenCL

asmFish

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

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X13M26M39M52M65MSE +/- 122568.73, N = 3SE +/- 711272.98, N = 4SE +/- 623050.05, N = 3SE +/- 439150.46, N = 3SE +/- 457800.10, N = 3SE +/- 139565.35, N = 3SE +/- 119860.92, N = 3SE +/- 148329.91, N = 3SE +/- 238676.97, N = 3SE +/- 67429.43, N = 3SE +/- 31310.34, N = 35994351952929484493487124039245940082309388368733509862929158077272751922229447821747154

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 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 5 5600XRyzen 7 3800XTCore i5 10600KRyzen 5 3600X3691215SE +/- 0.00273, N = 3SE +/- 0.00924, N = 3SE +/- 0.01327, N = 3SE +/- 0.01251, N = 3SE +/- 0.00400, N = 3SE +/- 0.08565, N = 14SE +/- 0.00415, N = 3SE +/- 0.00390, N = 3SE +/- 0.01889, N = 3SE +/- 0.01150, N = 3SE +/- 0.02845, N = 33.788274.384734.683105.146035.691635.793385.809237.464497.583438.8998410.43780-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=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=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-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: SlowRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 310.8010.268.477.567.376.806.795.965.164.503.931. (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: Rainbow Colors and PrismRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K0.85731.71462.57193.42924.2865SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.813.643.132.732.642.462.271.931.671.421.40MIN: 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: 2.21 / MAX: 2.36MIN: 1.89 / MAX: 1.98MIN: 1.62 / MAX: 1.73MIN: 1.38 / MAX: 1.47MIN: 1.37 / MAX: 1.45

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X3691215SE +/- 0.00440, N = 3SE +/- 0.00557, N = 3SE +/- 0.01483, N = 3SE +/- 0.01244, N = 3SE +/- 0.01628, N = 3SE +/- 0.01161, N = 3SE +/- 0.01169, N = 3SE +/- 0.02615, N = 3SE +/- 0.01067, N = 3SE +/- 0.00733, N = 3SE +/- 0.02071, N = 34.966145.614405.956647.007287.249607.421957.658819.8793010.2503012.2322013.51140-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=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 313.1413.5415.6817.3817.9320.0720.4524.3727.2033.1735.68-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=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=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

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 5800XRyzen 7 3800XTCore i5 10600KRyzen 5 5600XRyzen 5 3600X10002000300040005000SE +/- 5.73, N = 3SE +/- 0.54, N = 3SE +/- 0.46, N = 3SE +/- 13.38, N = 3SE +/- 2.69, N = 3SE +/- 1.56, N = 3SE +/- 0.59, N = 3SE +/- 0.77, N = 3SE +/- 6.82, N = 3SE +/- 0.64, N = 3SE +/- 0.12, N = 34897.34743.43858.33712.33551.03489.82636.42490.62038.22027.31806.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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: MediumRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.9410.408.607.717.516.966.926.075.254.594.041. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5800XRyzen 7 3800XTCore i5 10600KRyzen 5 5600XRyzen 5 3600X612182430SE +/- 0.1286, N = 3SE +/- 0.1616, N = 3SE +/- 0.0158, N = 3SE +/- 0.0173, N = 3SE +/- 0.0456, N = 3SE +/- 0.1843, N = 3SE +/- 0.2329, N = 3SE +/- 0.0774, N = 3SE +/- 0.0502, N = 3SE +/- 0.0501, N = 3SE +/- 0.0507, N = 325.589721.663520.479820.429916.832316.525515.315212.400712.337012.17759.5120MIN: 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: 14.69 / MAX: 15.75MIN: 12.25 / MAX: 12.74MIN: 12.23 / MAX: 12.58MIN: 12 / MAX: 12.41MIN: 9.4 / MAX: 9.74

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 3900XRyzen 7 5800XCore i5 10600KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600X0.64571.29141.93712.58283.2285SE +/- 0.00545, N = 3SE +/- 0.00338, N = 3SE +/- 0.00955, N = 3SE +/- 0.00218, N = 3SE +/- 0.00173, N = 3SE +/- 0.00121, N = 3SE +/- 0.00157, N = 3SE +/- 0.00373, N = 3SE +/- 0.00102, N = 3SE +/- 0.00099, N = 3SE +/- 0.00119, N = 31.070981.149971.236071.274081.495261.544881.781642.085592.117112.379352.86995

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K110220330440550192.18208.36224.29259.33267.07299.91305.74349.40397.24470.18511.74

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X1122334455SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 348.7143.3343.1538.2336.5935.9532.9828.0022.6021.3818.511. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X50100150200250SE +/- 0.10, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.32, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.67, N = 378.2881.7795.02106.80111.61114.70134.54150.76178.17203.69205.38

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X612182430SE +/- 0.1295, N = 3SE +/- 0.1585, N = 3SE +/- 0.0945, N = 3SE +/- 0.1053, N = 3SE +/- 0.0456, N = 3SE +/- 0.1165, N = 3SE +/- 0.0477, N = 3SE +/- 0.0407, N = 3SE +/- 0.0495, N = 3SE +/- 0.0117, N = 3SE +/- 0.0493, N = 325.072221.869220.378917.630716.990016.843015.245112.521011.923110.07299.6303MIN: 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: 15.12 / MAX: 15.6MIN: 12.41 / MAX: 12.79MIN: 11.25 / MAX: 12.08MIN: 10.02 / MAX: 10.19MIN: 9.54 / MAX: 9.84

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K70140210280350117.67119.86142.65156.53161.51178.12196.74214.51258.69291.01305.77

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Ryzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XTRyzen 9 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K918273645SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 315.9618.3018.7222.6322.8824.8225.1829.3231.6738.6741.401. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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_224Ryzen 7 5800XRyzen 5 5600XCore i9 10900KRyzen 9 5900XRyzen 7 3800XTCore i5 10600KRyzen 9 5950XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.28612.57223.85835.14446.4305SE +/- 0.037, N = 3SE +/- 0.017, N = 3SE +/- 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 = 32.2152.6912.8233.0583.3753.4013.8493.9603.9884.0225.716MIN: 2.13 / MAX: 2.76MIN: 2.63 / MAX: 4.15MIN: 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: 6.81. (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

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K1326395265SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.18, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 323.0123.5127.4230.5831.5333.7337.3342.7750.2258.7359.341. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K400800120016002000SE +/- 1.20, N = 3SE +/- 1.73, N = 3SE +/- 2.03, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 1.45, N = 3SE +/- 1.45, N = 3189318291610143214151264118710319157607391. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K60120180240300111.39125.26134.45155.82160.13166.41171.70199.43225.90265.42282.58

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K1122334455SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 319.0220.7822.0225.0625.7729.0430.5333.9338.5743.9047.83

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X3691215SE +/- 0.065, N = 3SE +/- 0.251, N = 15SE +/- 0.117, N = 3SE +/- 0.144, N = 3SE +/- 0.087, N = 3SE +/- 0.035, N = 3SE +/- 0.159, N = 15SE +/- 0.073, N = 3SE +/- 0.083, N = 3SE +/- 0.018, N = 3SE +/- 0.012, N = 313.09111.54110.7199.4879.2628.7017.1156.8806.0525.2935.2661. (CXX) g++ options: -O3 -pthread -lm

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K3K6K9K12K15KSE +/- 14.40, N = 3SE +/- 34.34, N = 3SE +/- 8.30, N = 3SE +/- 69.83, N = 3SE +/- 28.66, N = 3SE +/- 3.76, N = 3SE +/- 9.53, N = 3SE +/- 38.82, N = 3SE +/- 3.08, N = 3SE +/- 26.31, N = 3SE +/- 16.16, N = 313518.2912650.2410990.549817.409125.698748.798332.977092.346222.635700.855477.651. (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 FP16 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K3K6K9K12K15KSE +/- 16.60, N = 3SE +/- 122.60, N = 3SE +/- 11.51, N = 3SE +/- 17.62, N = 3SE +/- 41.23, N = 3SE +/- 36.37, N = 3SE +/- 9.82, N = 3SE +/- 17.51, N = 3SE +/- 5.04, N = 3SE +/- 10.70, N = 3SE +/- 15.37, N = 313580.7512280.8510933.339817.089097.748760.848400.297134.906330.565795.795506.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X246810SE +/- 0.020, N = 3SE +/- 0.013, N = 3SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.011, N = 3SE +/- 0.000, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 36.0635.3205.3154.4934.4114.3203.9343.3472.9612.7072.4651. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 3950XRyzen 7 5800XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 5 5600XRyzen 7 3800XTRyzen 5 3600XCore i5 10600K2004006008001000SE +/- 4.72, N = 3SE +/- 2.01, N = 3SE +/- 1.05, N = 3SE +/- 1.11, N = 3SE +/- 1.29, N = 3SE +/- 1.39, N = 3SE +/- 0.83, N = 3SE +/- 0.18, N = 3SE +/- 1.57, N = 3SE +/- 0.23, N = 3SE +/- 0.45, N = 31025.44873.70829.79733.43706.15684.39670.09576.38545.54420.46417.531. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X3691215SE +/- 0.00365, N = 3SE +/- 0.00337, N = 3SE +/- 0.01329, N = 3SE +/- 0.00812, N = 3SE +/- 0.00218, N = 3SE +/- 0.01077, N = 3SE +/- 0.01773, N = 3SE +/- 0.02969, N = 3SE +/- 0.01096, N = 3SE +/- 0.10039, N = 3SE +/- 0.11188, N = 33.715874.297134.716704.787665.084605.253665.499736.865577.603248.719109.02336MIN: 3.65MIN: 4.2MIN: 4.35MIN: 4.68MIN: 5.02MIN: 5.14MIN: 5.39MIN: 6.67MIN: 7.37MIN: 8.56MIN: 8.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 7 5800XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K918273645SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 338.4336.2630.5629.1728.3927.6627.3425.5420.4717.8916.121. (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: MediumRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 7 5800XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K918273645SE +/- 0.06, N = 3SE +/- 0.01, 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 +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 339.3737.1631.4730.0329.3628.5628.1326.2020.9818.3616.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K1632486480SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 329.8233.4734.1639.5240.4844.8745.3351.2456.2265.2770.34

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K1122334455SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 348.9945.9241.7036.8736.0835.2534.7730.1326.2222.8420.851. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K20406080100SE +/- 0.64, N = 3SE +/- 0.56, N = 3SE +/- 0.47, N = 3SE +/- 0.60, N = 3SE +/- 0.50, N = 3SE +/- 0.50, N = 3SE +/- 0.35, N = 3SE +/- 0.51, N = 3SE +/- 0.56, N = 3SE +/- 0.56, N = 3SE +/- 0.71, N = 345.4247.3652.2756.7857.9163.9571.2176.6989.84100.40106.43

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 326.5925.1723.7421.1620.6419.5719.5016.9514.6312.7511.471. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K4080120160200SE +/- 2.09, N = 6SE +/- 1.78, N = 3SE +/- 2.62, N = 3SE +/- 2.00, N = 4SE +/- 1.56, N = 3SE +/- 1.27, N = 3SE +/- 0.95, N = 3SE +/- 0.83, N = 3SE +/- 1.17, N = 4SE +/- 1.15, N = 3SE +/- 0.59, N = 3172.75162.49158.81139.09136.32126.19112.9098.3293.5877.1975.141. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

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 10900KRyzen 7 5800XRyzen 5 5600XCore i5 10600KRyzen 7 3800XTRyzen 5 3600X612182430SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 4SE +/- 0.09, N = 3SE +/- 0.09, N = 326.5023.5423.0919.6519.3718.8115.1414.4712.5612.4811.701. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K20K40K60K80K100KSE +/- 79.67, N = 3SE +/- 191.60, N = 3SE +/- 80.31, N = 3SE +/- 28.54, N = 3SE +/- 286.83, N = 3SE +/- 144.14, N = 3SE +/- 35.83, N = 3SE +/- 139.97, N = 3SE +/- 206.95, N = 3SE +/- 44.51, N = 3SE +/- 325.15, N = 394779900718943777550769096608764772563705413243855418971. (CXX) g++ options: -pipe -lpthread

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 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K306090120150SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.56, N = 3SE +/- 0.37, N = 3SE +/- 0.34, N = 3SE +/- 0.09, N = 3SE +/- 1.08, N = 15SE +/- 1.55, N = 3SE +/- 0.09, N = 3SE +/- 0.81, N = 3SE +/- 2.07, N = 367.9070.6177.8583.1986.3091.5693.11113.80121.69150.81152.56

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K2004006008001000SE +/- 4.08, N = 3SE +/- 4.14, N = 3SE +/- 1.43, N = 3SE +/- 2.72, N = 3SE +/- 3.29, N = 3SE +/- 2.33, N = 3SE +/- 0.81, N = 3SE +/- 0.22, N = 3SE +/- 1.76, N = 3SE +/- 1.66, N = 3SE +/- 0.78, N = 3361.17364.33402.44432.30446.18506.57548.76586.16687.97748.56807.29

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 7 5800XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K50K100K150K200K250KSE +/- 317.75, N = 3SE +/- 197.01, N = 3SE +/- 519.62, N = 3SE +/- 963.62, N = 3SE +/- 739.92, N = 3SE +/- 186.00, N = 3SE +/- 273.40, N = 3SE +/- 928.82, N = 3SE +/- 95.69, N = 3SE +/- 192.72, N = 3SE +/- 40.25, N = 3106372117199122229137424139014140368147694156768180417213644236704

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 5800XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X48121620SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 313.7412.8911.9111.1011.0410.469.057.656.976.876.36

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURyzen 9 5950XCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XRyzen 9 3900XTRyzen 7 5800XCore i5 10600KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600X0.81451.6292.44353.2584.0725SE +/- 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 +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.623.343.253.062.782.622.272.111.941.801.681. (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 3900XTRyzen 7 5800XCore i5 10600KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600X0.81231.62462.43693.24924.0615SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.613.293.273.062.782.612.272.101.941.781.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 9 5950XRyzen 9 5900XRyzen 7 5800XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K70140210280350SE +/- 0.55, N = 3SE +/- 0.56, N = 3SE +/- 1.08, N = 3SE +/- 1.14, N = 3SE +/- 2.01, N = 3SE +/- 0.37, N = 3SE +/- 1.41, N = 3SE +/- 0.55, N = 3SE +/- 0.23, N = 3SE +/- 1.94, N = 3SE +/- 1.39, N = 3161.22179.87206.31207.12214.09220.22232.66263.00282.75318.34344.92MIN: 159.59MIN: 178.58MIN: 202.97MIN: 203.26MIN: 206.29MIN: 218.35MIN: 229.79MIN: 260.82MIN: 281.12MIN: 312.42MIN: 339.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X0.30150.6030.90451.2061.5075SE +/- 0.008, N = 4SE +/- 0.006, N = 15SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.012, N = 6SE +/- 0.016, N = 3SE +/- 0.006, N = 3SE +/- 0.011, N = 150.6270.6840.6970.7810.7860.8050.8421.0071.0191.2951.340MIN: 0.5 / MAX: 1.04MIN: 0.56 / MAX: 0.94MIN: 0.57 / MAX: 1.33MIN: 0.71 / MAX: 1.21MIN: 0.71 / MAX: 1.14MIN: 0.69 / MAX: 1.14MIN: 0.73 / MAX: 1.13MIN: 0.88 / MAX: 1.38MIN: 0.95 / MAX: 1.37MIN: 1.2 / MAX: 1.71MIN: 1.16 / MAX: 1.86

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XT0.72451.4492.17352.8983.62251.531.531.541.552.282.643.033.123.133.203.22

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 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 5 5600XRyzen 7 3800XTRyzen 5 3600XCore i9 10900KCore i5 10600K714212835SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.22, N = 3SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 330.328.327.325.825.124.722.021.918.918.314.4

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K48121620SE +/- 0.024, N = 3SE +/- 0.041, N = 3SE +/- 0.051, N = 3SE +/- 0.019, N = 3SE +/- 0.109, N = 3SE +/- 0.090, N = 3SE +/- 0.023, N = 3SE +/- 0.050, N = 3SE +/- 0.038, N = 3SE +/- 0.092, N = 3SE +/- 0.134, N = 36.7647.2767.4958.0998.1878.6139.0519.62512.30813.98214.129

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 7 5800XRyzen 9 5950XCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 5 5600XCore i5 10600KRyzen 9 3900XTRyzen 5 3600XRyzen 7 3800XT246810SE +/- 0.01689, N = 3SE +/- 0.01164, N = 3SE +/- 0.00620, N = 3SE +/- 0.01927, N = 3SE +/- 0.04241, N = 7SE +/- 0.03194, N = 3SE +/- 0.02155, N = 3SE +/- 0.01019, N = 3SE +/- 0.01604, N = 3SE +/- 0.04407, N = 15SE +/- 0.06254, N = 153.003383.121333.209103.285623.800314.039264.223374.336474.813805.736876.23646MIN: 2.77MIN: 2.98MIN: 3.05MIN: 3.02MIN: 3.45MIN: 3.77MIN: 4.01MIN: 4.21MIN: 4.58MIN: 5.47MIN: 5.631. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Ryzen 5 5600XRyzen 9 5900XRyzen 9 5950XRyzen 7 5800XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XCore i5 10600KCore i9 10900K13002600390052006500SE +/- 6.00, N = 3SE +/- 1.96, N = 3SE +/- 17.79, N = 3SE +/- 11.91, 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 +/- 3.56, N = 36000.45879.84896.14715.84561.34499.84483.54265.94059.13633.42922.31. (CC) gcc options: -O3 -pthread -lz -llzma

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 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X612182430SE +/- 0.09, N = 3SE +/- 0.11, N = 15SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.22, N = 3SE +/- 0.40, N = 3SE +/- 0.14, N = 312.2413.2514.7316.0316.2616.6816.9919.0120.2424.8024.81

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRyzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 5800XRyzen 9 3900XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 5 3600XCore i5 10600K1020304050SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.34, N = 15SE +/- 0.18, N = 3SE +/- 0.64, N = 322.2022.7725.6626.8628.1328.1331.0432.7233.1436.3444.94

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 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950X1.30952.6193.92855.2386.5475SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 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 = 32.883.104.144.375.065.335.395.405.555.645.82MIN: 2.83 / MAX: 4.04MIN: 3.03 / MAX: 4.25MIN: 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: 6.181. (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: 0Ryzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K20406080100SE +/- 0.27, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.44, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.39, N = 3SE +/- 0.02, N = 3SE +/- 0.63, N = 352.7558.6559.4067.3068.1871.4871.8680.8888.14101.97106.411. (CXX) g++ options: -O3 -fPIC

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pRyzen 9 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 5800XRyzen 5 5600XCore i5 10600KRyzen 7 3800XTRyzen 5 3600X50100150200250SE +/- 0.45, N = 3SE +/- 0.23, N = 3SE +/- 0.53, N = 3SE +/- 0.17, N = 3SE +/- 0.46, N = 3SE +/- 0.41, N = 3SE +/- 0.46, N = 3SE +/- 0.55, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3220.35206.64200.83186.01180.89180.29134.96126.80122.76119.86109.321. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 5900XRyzen 7 5800XCore i9 10900KRyzen 9 3950XRyzen 9 3900XTRyzen 5 5600XRyzen 9 3900XRyzen 5 3600XCore i5 10600KRyzen 7 3800XT110220330440550SE +/- 3.07, N = 3SE +/- 1.54, N = 3SE +/- 13.92, N = 3SE +/- 1.18, N = 3SE +/- 4.86, N = 3SE +/- 6.33, N = 3SE +/- 4.76, N = 3SE +/- 16.54, N = 3SE +/- 6.73, N = 3SE +/- 2.26, N = 3SE +/- 2.43, N = 3521.05495.79471.05390.00374.19371.29338.34310.86306.45265.78262.481. (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: 2Ryzen 9 5950XRyzen 9 5900XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K1428425670SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.28, N = 332.2035.2135.6840.4341.1142.7743.3648.5253.5361.3463.901. (CXX) g++ options: -O3 -fPIC

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 9 5950XRyzen 9 3950XCore i9 10900KRyzen 9 5900XRyzen 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K20406080100SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.33, N = 3SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 386.9482.2469.9069.6369.3463.2662.5060.1055.5648.1443.821. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 9 5950XRyzen 9 3950XRyzen 9 5900XCore i9 10900KRyzen 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K306090120150SE +/- 0.42, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.43, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3155.81145.91130.30129.64129.30119.07117.56112.9099.9285.5779.101. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: SqueezeNetV1.0Ryzen 7 5800XCore i9 10900KRyzen 5 5600XCore i5 10600KRyzen 7 3800XTRyzen 9 5900XRyzen 9 5950XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.070, N = 3SE +/- 0.060, N = 3SE +/- 0.052, 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 = 34.1654.3314.9215.6516.0346.1116.4486.5627.2347.2358.162MIN: 4.02 / MAX: 5.67MIN: 4.15 / MAX: 16.62MIN: 4.74 / MAX: 6.94MIN: 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: 11.131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Timed 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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K816243240SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 318.1719.5220.5822.7723.2224.7425.2227.9729.8233.4535.43

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURyzen 9 5950XRyzen 9 3950XRyzen 9 5900XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 5 5600X0.55131.10261.65392.20522.7565SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.452.432.192.071.991.931.651.521.281.281.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentRyzen 9 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X714212835SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 315.5817.1918.7319.8420.5420.5621.0324.0325.3129.5030.15

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K0.55581.11161.66742.22322.779SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 6SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.472.432.202.101.971.931.721.561.291.291.281. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 7 5800XRyzen 5 5600XRyzen 9 5900XCore i9 10900KRyzen 9 5950XCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950X1.15882.31763.47644.63525.794SE +/- 0.00, N = 3SE +/- 0.00, 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 +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 32.682.903.994.004.164.414.754.754.835.085.15MIN: 2.64 / MAX: 3.8MIN: 2.87 / MAX: 4.06MIN: 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: 5.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 7 5800XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K510152025SE +/- 0.04, N = 3SE +/- 0.03, 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 +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 310.3611.0212.2412.8713.2313.4814.2314.9715.1718.0519.681. (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 - Model: efficientnet-b0Ryzen 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 9 3950XRyzen 5 3600X246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 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 = 33.904.245.195.255.896.616.626.837.017.107.36MIN: 3.84 / MAX: 8.56MIN: 4.15 / MAX: 5.32MIN: 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: 8.571. (CXX) g++ options: -O3 -rdynamic -lgomp -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 LeukocyteRyzen 9 5950XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 5800XRyzen 5 5600XRyzen 7 3800XTRyzen 5 3600XCore i5 10600K306090120150SE +/- 0.90, N = 3SE +/- 0.08, N = 3SE +/- 0.56, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.59, N = 3SE +/- 0.28, N = 3SE +/- 0.45, N = 3SE +/- 1.10, N = 3SE +/- 0.68, N = 369.8172.5677.7882.9886.7988.59101.56106.40118.74127.40131.401. (CXX) g++ options: -O2 -lOpenCL

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 7 5800XRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 5 3600X2004006008001000SE +/- 1.31, N = 3SE +/- 2.14, N = 3SE +/- 0.38, N = 3SE +/- 3.87, N = 3SE +/- 1.50, N = 3SE +/- 1.67, N = 3SE +/- 0.26, N = 3SE +/- 0.99, N = 3SE +/- 0.25, N = 3SE +/- 1.57, N = 3SE +/- 1.71, N = 3785.87688.70661.39646.15619.21586.78585.47550.52545.09514.32438.49MIN: 607.56 / MAX: 1067.02MIN: 524.41 / MAX: 874.26MIN: 505.19 / MAX: 829.84MIN: 484.41 / MAX: 891.48MIN: 475.8 / MAX: 778.14MIN: 461.53 / MAX: 717.45MIN: 461.07 / MAX: 715.8MIN: 404.15 / MAX: 850.71MIN: 401.83 / MAX: 840.98MIN: 394.76 / MAX: 717.47MIN: 334.01 / MAX: 673.671. (CC) gcc options: -pthread

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 7 5800XRyzen 5 5600XRyzen 9 5900XCore i9 10900KRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950X510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 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 = 310.7511.3912.6813.2813.4314.9216.0517.0317.3117.3819.24MIN: 10.63 / MAX: 11.91MIN: 11.27 / MAX: 12.52MIN: 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: 19.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 3900XRyzen 7 5800XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K1530456075SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 337.3740.1242.3746.2746.7947.7047.7954.1455.9664.4166.26

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-v2-50Ryzen 7 5800XRyzen 5 5600XCore i9 10900KRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 5 3600XCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050SE +/- 0.44, N = 3SE +/- 0.43, N = 3SE +/- 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 = 323.8425.0425.3127.0628.3829.5330.2632.4833.0733.4742.13MIN: 23.19 / MAX: 35.63MIN: 24.34 / MAX: 37.43MIN: 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: 53.151. (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

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 3900XRyzen 7 5800XCore i9 10900KRyzen 5 5600XCore i5 10600KRyzen 7 3800XTRyzen 5 3600X0.29030.58060.87091.16121.4515SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 31.2901.2841.2361.1361.1330.9900.9770.8760.8420.8230.7331. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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 3900XTRyzen 7 5800XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 5 3600X50100150200250SE +/- 2.17, N = 10SE +/- 3.76, N = 3SE +/- 0.25, N = 3SE +/- 2.55, N = 5SE +/- 3.37, N = 3SE +/- 3.32, N = 3SE +/- 2.69, N = 3SE +/- 1.83, N = 3SE +/- 2.49, N = 3SE +/- 1.38, N = 3SE +/- 1.35, N = 3234.14226.26217.13210.08202.63198.20169.80154.53153.90149.99134.251. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPURyzen 9 5950XRyzen 9 5900XRyzen 7 5800XRyzen 5 5600XCore i9 10900KRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XCore i5 10600K3691215SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.01, 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 = 311.2411.0811.0410.367.387.227.147.036.926.596.48

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 3950XCore i9 10900KRyzen 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.606.016.276.806.877.047.077.988.099.459.601. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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 5800XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 5 3600X1020304050SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 344.644.239.538.938.737.237.133.532.330.327.01. (CC) gcc options: -O3 -pthread -lz -llzma

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 5900XRyzen 7 5800XRyzen 5 5600XCore i9 10900KRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XCore i5 10600K612182430SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.09, 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 = 323.6423.2021.9520.3417.0616.8516.4016.3815.6514.7614.48

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 7 5800XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 5 5600XRyzen 7 3800XTRyzen 5 3600XCore i5 10600K50100150200250SE +/- 0.62, N = 3SE +/- 0.17, N = 3SE +/- 0.61, N = 3SE +/- 0.29, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.66, N = 3SE +/- 0.44, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3231.45228.06201.96198.88197.64197.62183.54173.18171.17145.19143.26MIN: 167.76 / MAX: 241.46MIN: 183.97 / MAX: 245.09MIN: 138.19 / MAX: 209.94MIN: 181.82 / MAX: 218.4MIN: 160.44 / MAX: 207.45MIN: 158.2 / MAX: 208.72MIN: 147.87 / MAX: 191.59MIN: 163.49 / MAX: 194.95MIN: 153.68 / MAX: 184.63MIN: 138.55 / MAX: 159.76MIN: 134.31 / MAX: 160.761. (CC) gcc options: -pthread

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 7 5800XRyzen 5 5600XRyzen 9 5950XRyzen 9 5900XCore i5 10600KCore i9 10900KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X4080120160200SE +/- 1.23, N = 3SE +/- 0.63, N = 3SE +/- 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 = 3123.09129.38149.62155.88174.72176.74183.72194.85195.78196.12197.37

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPURyzen 9 5950XRyzen 9 5900XRyzen 7 5800XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 5 3600XCore i5 10600K3691215SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 312.6112.4311.3511.1510.6110.5910.279.799.218.947.88

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 5 3600X510152025SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.02, 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 = 311.7912.3612.6512.8516.4116.4916.5017.0817.1218.7918.83MIN: 11.48 / MAX: 25.12MIN: 12.07 / MAX: 31.33MIN: 12.38 / MAX: 13.1MIN: 12.75 / MAX: 14.82MIN: 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: 19.871. (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 5900XRyzen 7 5800XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 5 3600X714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 319.4721.2321.2523.2823.5823.8324.1125.8826.6329.8030.48-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=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

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 5800XRyzen 7 3800XTCore i5 10600KRyzen 5 5600XRyzen 5 3600X1632486480SE +/- 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 +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 345.7447.4748.4151.4256.2357.1757.6864.0264.9468.3771.46MIN: 44.74MIN: 46.54MIN: 47.56MIN: 50.48MIN: 55.46MIN: 56.54MIN: 56.93MIN: 62.9MIN: 63.43MIN: 67.42MIN: 701. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 7 5800XRyzen 5 5600XRyzen 9 3950XCore i9 10900KCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600X3691215SE +/- 0.044, N = 3SE +/- 0.029, N = 3SE +/- 0.052, N = 3SE +/- 0.063, 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 = 37.3507.3658.5088.5158.5918.7028.7508.9078.97311.01811.4241. (CC) gcc options: -std=c99 -O3 -lm -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XCore i9 10900KRyzen 9 3900XRyzen 9 3950XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600X48121620SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 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 = 311.5212.3712.9513.3014.0415.9515.9716.1716.2916.3917.88MIN: 11.31 / MAX: 11.99MIN: 12.21 / MAX: 26.56MIN: 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: 19.691. (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 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 5 5600XRyzen 7 3800XTCore i5 10600KRyzen 5 3600X9001800270036004500SE +/- 20.13, N = 4SE +/- 28.48, N = 4SE +/- 36.22, N = 4SE +/- 20.42, N = 4SE +/- 43.45, N = 4SE +/- 18.51, N = 4SE +/- 22.93, N = 4SE +/- 45.31, N = 4SE +/- 25.86, N = 3SE +/- 23.88, N = 328362884292529623348338934603531366339774395

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 7 5800XRyzen 9 5950XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XCore i9 10900KCore i5 10600K100200300400500SE +/- 4.99, N = 3SE +/- 2.81, N = 3SE +/- 4.25, N = 3SE +/- 0.37, 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 +/- 0.19, N = 3291.4292.4297.7306.9347.7360.7362.2367.7369.6419.1450.81. firefox 81.0

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 5600XRyzen 7 5800XRyzen 5 3600XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XRyzen 9 3900XTCore i9 10900K20406080100SE +/- 0.17, N = 3SE +/- 0.27, N = 3SE +/- 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 +/- 1.00, N = 350.5055.0057.7058.4059.6561.2463.2364.0765.3765.5878.02

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900X30060090012001500SE +/- 3.69, N = 3SE +/- 3.97, N = 3SE +/- 2.29, N = 3SE +/- 3.19, 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 = 31520.851501.031485.051476.821176.071084.831022.731019.651010.571003.691000.221. (CC) gcc options: -lm

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ryzen 7 5800XRyzen 5 5600XCore i9 10900KRyzen 9 5900XRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900X20K40K60K80K100KSE +/- 51.56, N = 3SE +/- 89.09, N = 3SE +/- 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 = 370819742547531378347809248958496129975871056171058031073561. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5600XRyzen 7 5800XRyzen 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 +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.733.853.863.893.994.044.514.704.905.065.641. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineRyzen 9 3950XRyzen 9 5900XRyzen 7 3800XTRyzen 9 3900XRyzen 5 5600XRyzen 9 5950XRyzen 9 3900XTRyzen 7 5800XRyzen 5 3600XCore i5 10600KCore i9 10900K8K16K24K32K40KSE +/- 34.63, N = 3SE +/- 18.60, N = 3SE +/- 29.41, N = 3SE +/- 29.89, N = 3SE +/- 32.74, N = 3SE +/- 39.63, N = 3SE +/- 98.83, N = 3SE +/- 41.74, N = 3SE +/- 18.52, N = 3SE +/- 77.79, N = 3SE +/- 25.33, N = 338565.5337925.6237466.4836851.9036604.3636137.4935670.0135513.8734238.2334083.3725630.011. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600X400K800K1200K1600K2000KSE +/- 3532.74, N = 5SE +/- 21208.90, N = 5SE +/- 2205.85, N = 5SE +/- 2451.81, 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 = 5198983019707761960074190055715727701482195140725314018321385206137697213278381. (CC) gcc options: -O3 -march=native

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 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 5 3600X714212835SE +/- 0.33, N = 3SE +/- 0.08, N = 3SE +/- 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 = 319.8920.3921.8122.6325.0027.7928.0328.6828.9029.0829.79MIN: 19.15 / MAX: 21.25MIN: 20.15 / MAX: 21.63MIN: 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: 54.871. (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 7 5800XRyzen 5 5600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i9 10900KRyzen 5 3600XCore i5 10600K1224364860SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.35, 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 = 354.9953.4252.2949.1244.5743.5943.1941.7641.5039.0236.941. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XRyzen 5 3600XRyzen 9 3900XT2004006008001000SE +/- 3.79, N = 3SE +/- 8.11, N = 3SE +/- 6.01, 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 = 310721056104210359458627997947667547261. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XRyzen 9 3900XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTCore i5 10600KCore i9 10900K3K6K9K12K15KSE +/- 39.00, N = 3SE +/- 62.37, N = 3SE +/- 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 = 315924.615561.014645.414032.511595.211552.011505.511474.911473.910868.210815.81. (CXX) g++ options: -rdynamic

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XCore i9 10900KCore i5 10600K0.450.91.351.82.251.361.361.361.371.551.571.591.601.631.992.00

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeRyzen 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XCore i9 10900KCore i5 10600K80160240320400SE +/- 0.28, N = 3SE +/- 1.47, N = 3SE +/- 0.81, N = 3SE +/- 0.08, N = 3SE +/- 1.54, N = 3SE +/- 2.39, N = 3SE +/- 1.69, N = 3SE +/- 4.54, N = 3SE +/- 1.93, N = 3SE +/- 2.33, N = 3SE +/- 0.44, N = 3250.93253.65254.15260.76270.45270.84280.03280.25285.66340.68368.441. chrome 86.0.4240.75

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XCore i9 10900KCore i5 10600K510152025SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 315.2415.3715.6115.8817.2417.3417.4118.2618.5221.0622.371. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XCore i9 10900KCore i5 10600K4080120160200131.40133.29134.28135.23167.36169.17170.08171.79172.48183.25192.56

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialRyzen 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3900XRyzen 5 3600XCore i9 10900KCore i5 10600K130260390520650421.39426.53430.24437.95522.74526.46529.70546.89549.02588.16611.64

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 7 5800XRyzen 9 5950XRyzen 9 5900XCore i9 10900KRyzen 9 3900XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 9 3950XCore i5 10600K918273645SE +/- 1.19, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 15SE +/- 0.13, N = 3SE +/- 0.15, N = 8SE +/- 0.41, N = 3SE +/- 0.58, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 326.5126.8026.8829.4331.5531.6532.4632.4836.0236.9838.47MIN: 25.05 / MAX: 35MIN: 26.49 / MAX: 39.3MIN: 25.86 / MAX: 39.31MIN: 29.01 / MAX: 39.64MIN: 30.42 / MAX: 44.63MIN: 30.81 / MAX: 42.27MIN: 31.11 / MAX: 44.49MIN: 31.9 / MAX: 45.8MIN: 35.38 / MAX: 46.54MIN: 35.45 / MAX: 47.52MIN: 38.12 / MAX: 51.851. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ryzen 7 5800XRyzen 5 5600XCore i9 10900KRyzen 9 5900XRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950X60K120K180K240K300KSE +/- 49.01, N = 3SE +/- 166.56, N = 3SE +/- 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 = 31826971937361960742006762142392316832344402379082589722627382651311. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 7 5800XRyzen 5 5600XRyzen 9 3950XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KRyzen 5 3600X246810SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.007, N = 3SE +/- 0.001, 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 = 35.2525.4265.6446.1416.3656.3716.7156.7606.7977.5957.6201. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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 HotSpot3DRyzen 9 5950XRyzen 9 5900XRyzen 7 5800XRyzen 5 5600XRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XCore i9 10900KRyzen 5 3600XCore i5 10600K20406080100SE +/- 0.77, N = 6SE +/- 1.56, N = 12SE +/- 1.24, N = 15SE +/- 0.88, N = 15SE +/- 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 = 363.8666.7467.5170.5679.7679.9380.9481.1083.8987.0991.901. (CXX) g++ options: -O2 -lOpenCL

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: resnet50Ryzen 7 5800XCore i9 10900KRyzen 9 5900XRyzen 5 5600XRyzen 9 5950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 9 3950XRyzen 5 3600X714212835SE +/- 0.29, N = 3SE +/- 0.05, N = 3SE +/- 0.38, N = 3SE +/- 0.04, 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 = 322.0924.2824.2924.7825.4827.6627.8228.4729.2029.9131.60MIN: 21.65 / MAX: 35.94MIN: 23.97 / MAX: 25.62MIN: 23.69 / MAX: 27.95MIN: 24.6 / MAX: 36.85MIN: 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: 32.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SRyzen 9 5950XRyzen 9 5900XRyzen 7 5800XRyzen 9 3950XCore i9 10900KRyzen 9 3900XTRyzen 5 5600XRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XCore i5 10600K1224364860SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.37, N = 3SE +/- 0.38, N = 3SE +/- 0.38, N = 3SE +/- 0.64, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 336.7837.4039.8742.2643.3043.5543.6644.3545.8351.3552.411. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeRyzen 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900X1224364860SE +/- 0.13, N = 3SE +/- 0.49, N = 3SE +/- 0.59, N = 3SE +/- 0.29, 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 = 353.6053.1952.9451.5349.0445.8138.9038.5938.3238.2038.031. (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 - Model: resnet18Ryzen 5 5600XRyzen 7 5800XRyzen 9 5900XCore i9 10900KRyzen 9 5950XCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950X48121620SE +/- 0.01, N = 2SE +/- 0.01, N = 3SE +/- 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 = 312.7112.7813.3213.5614.6214.8916.4816.7016.9217.5717.91MIN: 12.62 / MAX: 13.55MIN: 12.65 / MAX: 14.06MIN: 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: 28.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 7 5800XRyzen 9 3950XRyzen 5 5600XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 5 3600X50100150200250SE +/- 1.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 2.19, N = 3SE +/- 0.33, N = 3SE +/- 2.56, N = 5SE +/- 0.33, N = 31661791801941992032052072112112331. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 5 5600XRyzen 9 5900XCore i9 10900KRyzen 7 5800XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 5 3600XRyzen 9 3900X4080120160200SE +/- 2.00, N = 3SE +/- 4.79, N = 15SE +/- 0.67, N = 3136148148150152156175177178190190

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 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 9 3900XTRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950XRyzen 9 3900X612182430SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 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 = 317.4117.8418.3218.5519.8620.8623.7823.7823.8823.9224.211. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

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 7 5800XRyzen 9 5900XCore i9 10900KRyzen 5 5600XCore i5 10600KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 9 3900XT110M220M330M440M550MSE +/- 6320318.74, N = 3SE +/- 809659.91, N = 3SE +/- 1730487.00, N = 3SE +/- 667086.01, N = 3SE +/- 648578.86, 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 = 3535283139.78530810166.95517301573.26511718743.40509667296.91481073602.70406360022.76406108737.68401445819.03390856008.08385672695.951. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRyzen 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 9 3950XCore i9 10900KCore i5 10600K510152025SE +/- 0.00, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 316.1616.1716.4816.7918.4318.7918.9019.1019.1320.3622.38

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 7 5800XRyzen 9 3950XRyzen 5 5600XRyzen 9 3900XTCore i9 10900KRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600X1428425670SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, 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 = 345.8546.3449.3252.3953.2953.5153.6754.3457.8460.9363.411. RawTherapee, version 5.8, command line.

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 7 5800XRyzen 9 5950XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600X1326395265SE +/- 0.71, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 3SE +/- 0.08, 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 = 341.5441.6842.6843.0646.5649.0553.9855.0755.7856.7757.301. (CC) gcc options: -O2 -ldl -lz -lpthread

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonRyzen 9 5950XRyzen 9 5900XRyzen 7 5800XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3900XRyzen 5 3600X9001800270036004500SE +/- 27.26, N = 4SE +/- 20.69, N = 4SE +/- 12.56, N = 4SE +/- 33.87, 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 = 430663068316533133319367639463963396539904215

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 7 5800XRyzen 9 5950XRyzen 5 5600XRyzen 9 5900XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600X4K8K12K16K20KSE +/- 51.62, N = 3SE +/- 274.41, N = 3SE +/- 185.84, 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 = 320877.620223.020100.720018.517624.816160.115875.815846.115572.815451.015263.71. (CC) gcc options: -O3

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 7 5800XRyzen 9 5900XRyzen 5 5600XRyzen 9 5950XCore i9 10900KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XCore i5 10600KRyzen 9 3900X120240360480600SE +/- 1.23, N = 3SE +/- 2.53, N = 3SE +/- 0.60, 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 = 3558.28550.69543.12542.76451.53432.12425.55422.17415.99413.80409.49

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 7 5800XRyzen 5 5600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600X306090120150SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.10, 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 = 3133.14131.94128.47124.60117.34113.75110.90110.59105.06102.7297.93MIN: 92.76 / MAX: 272.06MIN: 84.38 / MAX: 304.84MIN: 88.05 / MAX: 273.02MIN: 83.42 / MAX: 292.97MIN: 77.76 / MAX: 285.64MIN: 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: 233.221. (CC) gcc options: -pthread

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 5950XRyzen 7 5800XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600X0.02620.05240.07860.10480.131SE +/- 0.00117965, N = 15SE +/- 0.00107634, N = 3SE +/- 0.00040989, N = 3SE +/- 0.00010732, 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 = 30.085733400.086593970.087341600.089303340.097657810.100639760.110188770.110595130.110959950.113382120.11643247

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3950XRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XCore i5 10600K36912159.119.229.289.4011.5411.6412.0312.1212.1412.2312.35

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KRyzen 9 3900XCore i5 10600KRyzen 9 3950XRyzen 9 3900XTRyzen 5 3600XRyzen 7 3800XT3M6M9M12M15MSE +/- 59345.60, N = 3SE +/- 46067.71, N = 3SE +/- 9488.88, N = 3SE +/- 12610.07, 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 = 311851326115195671140483811191962100874189268070919615491954039071528891201888052871. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTCore i9 10900KRyzen 5 3600XRyzen 9 3900XCore i5 10600K246810SE +/- 0.003, N = 3SE +/- 0.014, N = 3SE +/- 0.027, N = 3SE +/- 0.003, 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 = 35.4995.5625.6215.7376.6586.8946.9646.9667.0677.0817.3971. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XCore i9 10900KCore i5 10600K48121620SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, 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 = 312.7812.8212.8413.1415.3815.5715.6416.1316.1516.4017.13

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURyzen 7 5800XRyzen 5 5600X0.14180.28360.42540.56720.709SE +/- 0.00, N = 3SE +/- 0.00, N = 30.470.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ryzen 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 9 3950XCore i9 10900KCore i5 10600K60120180240300SE +/- 0.03, N = 3SE +/- 0.24, N = 3SE +/- 0.54, N = 3SE +/- 0.04, N = 3SE +/- 1.57, N = 3SE +/- 0.80, N = 3SE +/- 2.02, N = 12SE +/- 0.65, N = 3SE +/- 0.29, N = 3SE +/- 3.74, N = 3SE +/- 0.10, N = 3208.12213.84215.55216.96231.37235.52236.45240.28240.34261.56278.41MIN: 207.98 / MAX: 208.3MIN: 213.22 / MAX: 214.97MIN: 214.45 / MAX: 216.73MIN: 216.75 / MAX: 217.19MIN: 228.01 / MAX: 242MIN: 233.06 / MAX: 238.56MIN: 224.41 / MAX: 244.45MIN: 237.48 / MAX: 242.43MIN: 239.2 / MAX: 249.7MIN: 253.09 / MAX: 270.4MIN: 278.09 / MAX: 284.761. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 7 5800XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K20406080100SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.31, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 382.4783.5887.4390.5591.2394.0394.9399.0699.31109.64110.03

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURyzen 7 5800XRyzen 5 5600X7001400210028003500SE +/- 31.98, N = 6SE +/- 9.00, N = 32313.883087.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5950XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900X1632486480SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 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 = 354.5355.1056.9961.5863.6366.9168.8369.2569.9470.2472.74-mmpx-mmpx-msse4a -msha-msse4a -msha-mmpx-msse4a -msha-mmpx-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

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 7 5800XRyzen 9 5900XRyzen 5 5600XRyzen 9 5950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 9 3950XCore i9 10900KCore i5 10600K60120180240300SE +/- 0.90, N = 3SE +/- 1.79, N = 3SE +/- 0.21, 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 +/- 0.14, N = 3221.12227.29227.66228.34246.79255.51256.34257.80258.83282.65294.97MIN: 218.37 / MAX: 231.13MIN: 221.13 / MAX: 240.21MIN: 226.8 / MAX: 237.29MIN: 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: 294.25 / MAX: 296.331. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -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 RealtimeCore i9 10900KRyzen 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTRyzen 5 3600X612182430SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.06, 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 = 325.6725.4625.4525.3024.5321.7019.8219.6419.4719.4719.261. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Tesseract OCR

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesRyzen 7 5800XRyzen 5 5600XCore i9 10900KRyzen 9 5950XRyzen 9 5900XCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900X612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 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 = 317.3618.1119.1719.3519.3820.3521.7522.6222.7423.0023.07

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900X246810SE +/- 0.024, N = 5SE +/- 0.034, N = 5SE +/- 0.045, N = 5SE +/- 0.031, 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 = 55.0935.1805.1935.2065.8976.1906.4696.4846.5736.5956.755

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.09, 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 = 314.3114.7514.8114.9715.8217.0518.0618.3818.5118.5618.971. chrome 86.0.4240.75

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 7 5800XRyzen 9 5950XRyzen 5 5600XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 9 3900XRyzen 5 3600X1.18352.3673.55054.7345.9175SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 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 = 35.265.265.245.064.654.204.184.184.174.163.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 5900XRyzen 7 5800XCore i9 10900KRyzen 5 5600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600X510152025SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, 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 = 317.1917.2917.9818.0419.2820.2120.6720.9221.2021.4822.73

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 5900XRyzen 7 5800XRyzen 5 5600XCore i9 10900KRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3900XCore i5 10600KRyzen 5 3600X0.76051.5212.28153.0423.8025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, 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 = 33.383.363.363.202.922.722.712.712.682.612.561. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 7 5800XRyzen 5 5600X0.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 30.470.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950X3691215SE +/- 0.011, N = 3SE +/- 0.023, N = 3SE +/- 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 = 39.2919.5939.91510.31410.44211.20311.23911.59011.87611.91612.250

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 9 3900XRyzen 5 3600X612182430SE +/- 0.13, N = 4SE +/- 0.09, N = 4SE +/- 0.06, N = 4SE +/- 0.08, 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 = 420.9221.3221.4621.6525.3026.0826.6826.7126.7726.8127.481. (CC) gcc options: -O2 -std=c99

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 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 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 = 333.2332.8331.1230.8130.3428.6626.9925.9925.8325.6425.371. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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 5800XRyzen 7 3800XTRyzen 5 5600XRyzen 9 5900XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 5950XRyzen 9 3950XCore i5 10600KCore i9 10900K1.23752.4753.71254.956.1875SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 4SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 34.24.34.34.34.44.44.44.44.55.45.51. firefox 81.0

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeRyzen 9 5950XRyzen 7 5800XRyzen 9 5900XCore i9 10900KRyzen 5 5600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 3600X246810SE +/- 0.085, N = 3SE +/- 0.048, N = 15SE +/- 0.064, N = 3SE +/- 0.050, N = 3SE +/- 0.037, 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 = 36.2986.3016.3446.8046.8277.2897.3817.4917.6737.9268.236

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X246810SE +/- 0.013, N = 3SE +/- 0.019, N = 3SE +/- 0.033, N = 3SE +/- 0.002, 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 = 35.2945.3345.3405.4546.0246.3876.5556.5676.7486.8046.9161. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURyzen 7 5800XRyzen 5 5600X7001400210028003500SE +/- 24.63, N = 3SE +/- 39.99, N = 32411.823144.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3950XCore i5 10600KRyzen 5 3600XRyzen 9 3900XT60120180240300SE +/- 0.40, N = 3SE +/- 0.44, N = 3SE +/- 0.76, N = 3SE +/- 0.53, 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 = 3287.73281.53281.15276.46237.26232.69229.31225.71223.57221.22221.00-lm-lm-lm1. (CC) gcc options: -O3 -rdynamic

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X12M24M36M48M60MSE +/- 285322.64, N = 3SE +/- 250264.91, N = 3SE +/- 501860.59, N = 3SE +/- 138240.46, 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 = 356745146.956105538.155937330.154945549.952005432.947964784.244883700.944714220.644123395.744081890.743647479.3

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XCore i5 10600K246810SE +/- 0.060, N = 23SE +/- 0.047, N = 23SE +/- 0.044, N = 25SE +/- 0.063, N = 22SE +/- 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 = 225.0665.1265.1425.2656.2076.2896.3556.4126.4816.5066.5681. LibreOffice 7.0.1.2 00(Build:2)

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900X306090120150SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3122123123126134140150153153158158

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 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3950X7001400210028003500SE +/- 29.31, N = 4SE +/- 31.96, N = 4SE +/- 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 = 425192592265627122747277829083050309031303255

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XCore i9 10900KCore i5 10600K160320480640800SE +/- 1.90, N = 3SE +/- 4.52, N = 3SE +/- 3.47, N = 3SE +/- 0.93, 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 = 3587.6589.9590.1606.8686.9700.5705.8715.3721.3754.9757.01. chrome 86.0.4240.75

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeRyzen 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X4080120160200SE +/- 0.19, N = 3SE +/- 0.57, N = 3SE +/- 0.77, N = 3SE +/- 0.47, 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 = 3191.71188.92187.72185.20163.68155.62153.24152.93152.15151.42148.981. chrome 86.0.4240.75

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 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTCore i9 10900KCore i5 10600KRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600X3691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 39.839.689.519.508.088.087.887.837.807.737.691. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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 3950XRyzen 7 5800XCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K1.22272.44543.66814.89086.1135SE +/- 0.024, N = 3SE +/- 0.012, N = 3SE +/- 0.054, N = 3SE +/- 0.004, N = 3SE +/- 0.013, N = 3SE +/- 0.008, N = 3SE +/- 0.026, N = 3SE +/- 0.017, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.014, N = 34.2584.2644.4534.4744.5384.5864.6164.7334.8645.3225.4341. (CXX) g++ options: -O3 -fPIC

Selenium

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeRyzen 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XCore i9 10900KCore 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 = 34.04.04.04.04.24.24.24.24.35.05.11. chrome 86.0.4240.75

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPURyzen 7 5800XRyzen 5 5600X5001000150020002500SE +/- 10.68, N = 3SE +/- 5.27, N = 31760.662244.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Selenium

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

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeRyzen 9 5900XRyzen 9 5950XRyzen 7 5800XRyzen 5 5600XCore i5 10600KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XCore i9 10900K1020304050SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.08, 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 = 344.8044.4044.2243.4536.8036.5036.4036.3036.2035.3335.201. 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 10900KRyzen 7 5800XCore i5 10600KRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900X246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.386.426.746.786.937.197.217.538.018.108.12

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XRyzen 5 3600X1632486480SE +/- 0.07, N = 3SE +/- 0.53, N = 3SE +/- 0.17, N = 3SE +/- 0.03, 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 = 356.7957.3657.7258.1466.3768.8969.1969.7070.2871.6272.091. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibRyzen 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X48121620SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, 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 = 312.712.712.713.214.315.215.215.415.615.816.1

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XRyzen 5 3600X0.32270.64540.96811.29081.6135SE +/- 0.001, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.000, 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 = 31.1321.1451.1531.1771.2941.3651.3671.3691.3741.4141.4341. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Ryzen 9 5950XRyzen 9 5900XRyzen 7 5800XRyzen 5 5600XCore i9 10900KRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X0.49250.9851.47751.972.4625SE +/- 0.015, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.001, 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 = 31.7291.7431.7561.8212.0092.0882.0992.1152.1612.1752.1891. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X918273645SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, 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 = 330.5830.8530.8831.9832.3635.1036.4637.1937.2337.4638.55

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURyzen 7 5800XRyzen 5 5600X5001000150020002500SE +/- 1.98, N = 3SE +/- 2.11, N = 31765.422225.201. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 7 5800XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3950X3691215SE +/- 0.031, N = 3SE +/- 0.007, N = 3SE +/- 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 = 38.9599.2249.3209.43110.40410.81110.81811.11611.13011.14511.265

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 7 5800XRyzen 9 5900XRyzen 5 5600XRyzen 9 5950XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XCore i5 10600K1.26882.53763.80645.07526.344SE +/- 0.043, N = 3SE +/- 0.053, N = 3SE +/- 0.015, 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 = 34.4884.5934.6364.6415.2385.3115.4565.4995.5285.5505.639

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900X90180270360450SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3342344344352353373406413417427428

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X1224364860SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.02, 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 = 344.3645.0545.0546.1549.2352.4552.5353.6954.0954.6755.21

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XCore i9 10900KRyzen 5 3600XCore i5 10600K4080120160200SE +/- 0.32, N = 3SE +/- 0.58, N = 3SE +/- 0.25, 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 = 3168.0167.0167.0163.2143.2142.4141.8140.2138.0136.5135.01. 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: AntialiasRyzen 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900X816243240SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.05, 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 = 329.5830.5630.7430.8931.7334.1234.7435.9936.6436.7536.78

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessRyzen 9 5900XRyzen 9 5950XRyzen 7 5800XRyzen 5 5600XRyzen 9 3900XTRyzen 7 3800XTCore i9 10900KRyzen 9 3900XCore i5 10600KRyzen 5 3600XRyzen 9 3950X48121620SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.12, 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 = 312.6312.7612.8613.2614.8615.0415.0815.2615.4515.6215.641. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 7 5800XRyzen 9 5900XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XRyzen 5 3600XRyzen 9 3900X2004006008001000SE +/- 4.04, N = 3SE +/- 4.51, N = 3SE +/- 6.36, N = 3SE +/- 1.15, 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 = 3718728730739773820866871876888888

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 5 3600X2004006008001000SE +/- 1.65, N = 3SE +/- 3.00, N = 3SE +/- 1.55, N = 3SE +/- 0.93, 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 = 3885.75885.60871.93830.95829.30751.35743.57741.22732.75717.42716.751. (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: 10Ryzen 9 5950XRyzen 9 5900XRyzen 7 5800XRyzen 9 3950XRyzen 9 3900XTCore i9 10900KRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 5 3600XCore i5 10600K1.1482.2963.4444.5925.74SE +/- 0.019, N = 3SE +/- 0.015, N = 3SE +/- 0.010, N = 3SE +/- 0.023, N = 3SE +/- 0.060, N = 3SE +/- 0.018, N = 3SE +/- 0.020, N = 3SE +/- 0.027, N = 3SE +/- 0.011, N = 3SE +/- 0.008, N = 3SE +/- 0.014, N = 34.1334.1384.2284.3054.3364.3794.3954.4564.5744.9705.1021. (CXX) g++ options: -O3 -fPIC

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X714212835SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.04, 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 = 324.1624.5324.6725.0625.4527.0428.3629.0729.1829.4729.67

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 7 5800XRyzen 9 5900XRyzen 5 5600XRyzen 9 5950XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3950X246810SE +/- 0.091, N = 4SE +/- 0.098, N = 3SE +/- 0.045, 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 = 36.5896.7476.7526.8427.4617.6817.7577.9438.0268.0578.074

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XCore i9 10900KRyzen 5 3600XRyzen 9 3900XCore i5 10600K714212835SE +/- 0.12, N = 3SE +/- 0.34, N = 3SE +/- 0.33, N = 3SE +/- 0.08, 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 = 324.0224.2424.5724.6326.4627.0927.3227.7527.9028.5029.421. chrome 86.0.4240.75

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XTCore i5 10600K816243240SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.03, 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 = 327.0927.2727.6227.9131.1231.2032.0132.3032.5332.5833.161. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600X4080120160200SE +/- 0.52, N = 3SE +/- 0.65, N = 3SE +/- 0.67, N = 3SE +/- 3.26, 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 = 3194.38192.12189.65185.18179.16168.24165.36165.10163.05159.96159.391. (CC) gcc options: -lm

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 5 3600X100200300400500SE +/- 0.04, N = 3SE +/- 0.69, N = 3SE +/- 0.97, N = 3SE +/- 0.94, 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 = 3474.37465.90461.36453.52446.45420.58411.27403.65400.12393.72390.471. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i5 10600KRyzen 5 3600X246810SE +/- 0.004, N = 5SE +/- 0.038, N = 5SE +/- 0.033, N = 5SE +/- 0.002, 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 = 56.3386.3736.4406.5987.1737.3407.4557.5387.5797.5877.6951. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxRyzen 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 9 3950XRyzen 5 3600XCore i5 10600K714212835SE +/- 0.00, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 0.03, 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 = 323.924.124.124.425.426.226.726.826.927.029.01. firefox 81.0

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 7 5800XRyzen 9 5900XCore i9 10900KRyzen 5 5600XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600X510152025SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.10, 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 = 315.7415.7715.9716.0516.2717.3517.7718.2018.2718.3318.661. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 7 5800XRyzen 9 5900XRyzen 9 5950XRyzen 5 5600XCore i9 10900KCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 5 3600X20406080100SE +/- 0.10, N = 3SE +/- 0.24, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.33, N = 388.788.789.090.193.098.7100.0101.0102.0103.0105.0

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 5800XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KCore i5 10600KRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.00020.00040.00060.00080.001SE +/- 0.00001012, N = 3SE +/- 0.00000408, N = 3SE +/- 0.00000422, N = 3SE +/- 0.00000439, 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 = 130.000649730.000650210.000667540.000686380.000699960.000702280.000732810.000735480.000749990.000753640.00076862

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishRyzen 7 5800XCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600X120240360480600SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3SE +/- 0.32, 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 = 3562.60556.85550.63548.75539.22523.67501.99499.69492.74488.01480.701. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 7 5800XRyzen 9 5900XRyzen 9 5950XCore i9 10900KRyzen 5 5600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 9 3950X1530456075SE +/- 0.10, N = 3SE +/- 0.70, N = 3SE +/- 0.86, N = 3SE +/- 0.21, N = 3SE +/- 0.16, 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 = 359.7860.4562.5562.6462.7966.2566.4667.7968.1669.0169.64

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 7 5800XRyzen 9 5900XRyzen 5 5600XRyzen 9 5950XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XCore i5 10600KRyzen 9 3900X160320480640800SE +/- 1.44, N = 3SE +/- 1.65, N = 3SE +/- 1.57, 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 = 3645.8663.0664.5673.1708.1709.4714.9731.0737.2745.5745.91. firefox 81.0

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 7 5800XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600XCore i9 10900KRyzen 7 3800XTRyzen 9 3900XTCore i5 10600KRyzen 5 3600XRyzen 9 3900XRyzen 9 3950X306090120150SE +/- 0.37, N = 3SE +/- 0.97, N = 3SE +/- 0.95, N = 3SE +/- 0.48, 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 = 3120.20117.72117.14115.92113.69107.56107.15106.60105.77105.14105.021. 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: CAST-256Ryzen 9 5950XRyzen 7 5800XCore i9 10900KRyzen 9 5900XRyzen 5 5600XRyzen 7 3800XTCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 9 3950X4080120160200SE +/- 0.37, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.60, N = 3SE +/- 0.02, 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 = 3177.01176.44176.07173.79169.18168.05165.64162.65159.83157.47157.121. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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: mnasnetRyzen 7 5800XRyzen 5 5600X0.64581.29161.93742.58323.229SE +/- 0.00, N = 3SE +/- 0.02, N = 32.592.87MIN: 2.54 / MAX: 3.56MIN: 2.79 / MAX: 7.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Ryzen 7 5800XRyzen 5 5600X0.48830.97661.46491.95322.4415SE +/- 0.00, N = 3SE +/- 0.01, N = 31.982.17MIN: 1.96 / MAX: 2.74MIN: 2.14 / MAX: 2.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 7 5800XRyzen 5 5600X48121620SE +/- 0.01, N = 3SE +/- 0.08, N = 314.3715.30MIN: 14.12 / MAX: 18.26MIN: 15.06 / MAX: 15.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Ryzen 7 5800XRyzen 5 5600X0.96591.93182.89773.86364.8295SE +/- 0.005, N = 3SE +/- 0.002, N = 34.1534.293MIN: 4.12 / MAX: 11.36MIN: 4.25 / MAX: 4.641. (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: blazefaceRyzen 7 5800XRyzen 5 5600X0.22050.4410.66150.8821.1025SE +/- 0.00, N = 3SE +/- 0.00, N = 30.960.98MIN: 0.94 / MAX: 1MIN: 0.97 / MAX: 1.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ryzen 7 5800XRyzen 5 5600X1428425670SE +/- 0.01, N = 3SE +/- 0.18, N = 361.2161.72MIN: 60.82 / MAX: 70.12MIN: 60.76 / MAX: 66.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

229 Results Shown

ACES DGEMM
m-queens
John The Ripper
Aircrack-ng
N-Queens
TensorFlow Lite:
  Inception ResNet V2
  Mobilenet Float
  Inception V4
C-Ray
TensorFlow Lite
John The Ripper
OpenVKL
ASTC Encoder
TensorFlow Lite
YafaRay
Rodinia
ASTC Encoder
oneDNN
Chaos Group V-RAY
Stockfish
Smallpt
Embree
LuxCoreRender
BRL-CAD
Basis Universal
Embree
Blender
GraphicsMagick
Blender
Tachyon
Rodinia
asmFish
Tungsten Renderer
Kvazaar
LuxCoreRender
Tungsten Renderer:
  Volumetric Caustic
  Hair
OpenSSL
Kvazaar
Embree
NAMD
Appleseed
SVT-AV1
Blender
Embree
Appleseed
Basis Universal
Mobile Neural Network
POV-Ray
GraphicsMagick
Appleseed
Timed MPlayer Compilation
LAMMPS Molecular Dynamics Simulator
OpenVINO:
  Age Gender Recognition Retail 0013 FP32 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
SVT-AV1
TTSIOD 3D Renderer
oneDNN
Kvazaar:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
Timed FFmpeg Compilation
Kvazaar
Timed Linux Kernel Compilation
Kvazaar
x264
x265
7-Zip Compression
Numenta Anomaly Benchmark
Timed LLVM Compilation
TensorFlow Lite
Intel Open Image Denoise
OpenVINO:
  Face Detection 0106 FP16 - CPU
  Face Detection 0106 FP32 - CPU
oneDNN
Sunflow Rendering System
Polyhedron Fortran Benchmarks
NeatBench
Numenta Anomaly Benchmark
oneDNN
Zstd Compression
Numenta Anomaly Benchmark:
  Relative Entropy
  Bayesian Changepoint
NCNN
libavif avifenc
SVT-VP9
SciMark
libavif avifenc
Kvazaar:
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Ultra Fast
Mobile Neural Network
Timed ImageMagick Compilation
OpenVINO
OCRMyPDF
OpenVINO
NCNN
Nebular Empirical Analysis Tool
NCNN
Rodinia
dav1d
NCNN
Timed PHP Compilation
Mobile Neural Network
GROMACS
SVT-VP9
PlaidML
ASTC Encoder
Zstd Compression
PlaidML
dav1d
WireGuard + Linux Networking Stack Stress Test
PlaidML
NCNN
Tungsten Renderer
oneDNN
Timed MAFFT Alignment
NCNN
DaCapo Benchmark
Selenium
DeepSpeech
SciMark
Caffe
CloverLeaf
FFTE
TSCP
NCNN
LibRaw
GraphicsMagick
C-Blosc
Polyhedron Fortran Benchmarks
Selenium
RNNoise
Radiance Benchmark:
  SMP Parallel
  Serial
Mobile Neural Network
Caffe
Basis Universal
Rodinia
NCNN
Basis Universal
AOM AV1
NCNN
Monte Carlo Simulations of Ionised Nebulae
ctx_clock
Inkscape
Hierarchical INTegration
Mlpack Benchmark
RawTherapee
SQLite Speedtest
DaCapo Benchmark
Fhourstones
Numpy Benchmark
dav1d
Perl Benchmarks
Polyhedron Fortran Benchmarks
Crafty
LAME MP3 Encoding
Dolfyn
OpenVINO
TNN
Timed GDB GNU Debugger Compilation
OpenVINO
Timed MrBayes Analysis
TNN
AOM AV1
Tesseract OCR
GNU Octave Benchmark
Selenium
AOM AV1
Timed Apache Compilation
AOM AV1
OpenVINO
GIMP
eSpeak-NG Speech Engine
VP9 libvpx Encoding
Selenium
GIMP
WebP Image Encode
OpenVINO
libjpeg-turbo tjbench
BYTE Unix Benchmark
LibreOffice
PyPerformance
DaCapo Benchmark
Selenium:
  Kraken - Google Chrome
  Jetstream 2 - Google Chrome
VP9 libvpx Encoding
libavif avifenc
Selenium
OpenVINO
Selenium
PyPerformance
Montage Astronomical Image Mosaic Engine
PyPerformance
WebP Image Encode:
  Default
  Quality 100
GEGL
OpenVINO
GIMP
GEGL
PyPerformance
GEGL
Selenium
GEGL
WebP Image Encode
PyBench
SciMark
libavif avifenc
GEGL:
  Reflect
  Crop
Selenium
WebP Image Encode
SciMark
Botan
FLAC Audio Encoding
Selenium
G'MIC
PyPerformance
Perl Benchmarks
Botan
Mlpack Benchmark
Selenium:
  Kraken - Firefox
  Jetstream 2 - Firefox
Botan
NCNN:
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU - alexnet
Mobile Neural Network
NCNN:
  CPU - blazeface
  CPU - vgg16