Ryzen 5 5600X Linux Performance

AMD Ryzen 5 5600X 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 2011066-FI-AMDRYZEN960
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Audio Encoding 2 Tests
AV1 4 Tests
Bioinformatics 2 Tests
C++ Boost Tests 3 Tests
Web Browsers 1 Tests
Chess Test Suite 6 Tests
Timed Code Compilation 8 Tests
C/C++ Compiler Tests 35 Tests
Compression Tests 3 Tests
CPU Massive 47 Tests
Creator Workloads 47 Tests
Cryptography 4 Tests
Encoding 11 Tests
Fortran Tests 7 Tests
Game Development 5 Tests
HPC - High Performance Computing 26 Tests
Imaging 11 Tests
Java 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 13 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 49 Tests
NVIDIA GPU Compute 9 Tests
OCR 2 Tests
Intel oneAPI 6 Tests
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

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Date
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  Test
  Duration
Core i5 10600K
November 01 2020
  12 Hours, 45 Minutes
Core i9 10900K
October 16 2020
  10 Hours, 19 Minutes
Ryzen 5 2600
October 31 2020
  16 Hours, 2 Minutes
Ryzen 5 2600X
October 30 2020
  15 Hours, 31 Minutes
Ryzen 5 3600X
October 29 2020
  12 Hours, 32 Minutes
Ryzen 7 3800XT
October 27 2020
  11 Hours, 40 Minutes
Ryzen 9 3900X
October 18 2020
  10 Hours, 45 Minutes
Ryzen 9 3900XT
October 17 2020
  10 Hours, 27 Minutes
Ryzen 9 3950X
October 15 2020
  9 Hours, 57 Minutes
Ryzen 5 5600X
November 05 2020
  11 Hours, 32 Minutes
Ryzen 9 5900X
October 19 2020
  10 Hours, 19 Minutes
Ryzen 9 5950X
October 21 2020
  8 Hours, 23 Minutes
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  11 Hours, 41 Minutes

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Ryzen 5 5600X Linux PerformanceProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XIntel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCH16GB2000GB Corsair Force MP600 + 2000GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Navi 10 HDMI AudioASUS MG28UUbuntu 20.045.9.0-050900-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0)1.2.145GCC 9.3.0ext41920x1080Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS)AMD 17hAMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads)AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads)AMD Starship/MatisseAMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads)AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)AMD Ryzen 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 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 2600: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Ryzen 5 2600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Ryzen 5 3600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 7 3800XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3900XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 5 5600X: 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 2600: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 2600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 3600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 3800XT: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 3900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 3900XT: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 3950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 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 9 5900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XLogarithmic Result OverviewPhoronix Test SuiteACES DGEMMAircrack-ngIntel Open Image DenoiseJohn The RipperOpenVINOOpenVKLOpenSSLoneDNNTSCPBRL-CADN-QueensChaos Group V-RAYEmbreem-queensTTSIOD 3D RendererSVT-AV1asmFishTachyonYafaRayStockfishSmallptBlenderLuxCoreRenderTimed MPlayer CompilationLAMMPS Molecular Dynamics SimulatorKvazaarNAMDPOV-Rayx265C-RayTimed Linux Kernel CompilationTimed LLVM CompilationTimed FFmpeg Compilation7-Zip Compressionx264TensorFlow LiteAppleseedSunflow Rendering SystemTungsten RendererNeatBenchGROMACSSVT-VP9Timed ImageMagick CompilationGraphicsMagickNumenta Anomaly BenchmarkOCRMyPDFRodiniaASTC EncoderTimed PHP CompilationMobile Neural NetworkBasis UniversalSciMarkNCNNNebular Empirical Analysis ToolWireGuard + Linux Networking Stack Stress TestLibRawdav1dlibavif avifencAOM AV1PlaidMLZstd CompressionTimed GDB GNU Debugger CompilationPolyhedron Fortran BenchmarksDaCapo BenchmarkNumpy BenchmarkVP9 libvpx EncodingTimed Apache CompilationRadiance BenchmarkTimed MAFFT AlignmentTimed MrBayes AnalysisSQLite SpeedtestInkscapelibjpeg-turbo tjbenchCraftyPyPerformanceFhourstonesPerl BenchmarksMonte Carlo Simulations of Ionised NebulaeLibreOfficeHierarchical INTegrationMontage Astronomical Image Mosaic EngineRawTherapeeC-BloscPyBenchTesseract OCRLAME MP3 EncodingGIMPeSpeak-NG Speech EngineDeepSpeechGNU Octave BenchmarkFLAC Audio EncodingWebP Image EncodeCloverLeafFFTEDolfynctx_clockBYTE Unix BenchmarkSeleniumG'MICRNNoiseGEGLBotanTNNMlpack Benchmark

Ryzen 5 5600X Linux Performancemt-dgemm: Sustained Floating-Point Rateaircrack-ng: onednn: Deconvolution Batch deconv_1d - f32 - CPUjohn-the-ripper: MD5openvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUoidn: Memorialonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvkl: vklBenchmarkopenssl: RSA 4096-bit Performancejohn-the-ripper: Blowfishtscp: AI Chess Performanceembree: Pathtracer ISPC - Crownbrl-cad: VGR Performance Metricn-queens: Elapsed Timeembree: Pathtracer - Crownv-ray: CPUkvazaar: Bosphorus 4K - Slowscimark2: Dense LU Matrix Factorizationkvazaar: Bosphorus 4K - Mediumm-queens: Time To Solvesvt-av1: Enc Mode 8 - 1080pembree: Pathtracer ISPC - Asian Dragonttsiod-renderer: Phong Rendering With Soft-Shadow Mappingblender: Fishy Cat - CPU-Onlygraphics-magick: Enhancedasmfish: 1024 Hash Memory, 26 Depthtachyon: Total Timeyafaray: Total Time For Sample Scenerodinia: OpenMP LavaMDstockfish: Total Timeonednn: IP Batch 1D - f32 - CPUsvt-av1: Enc Mode 4 - 1080psmallpt: Global Illumination Renderer; 128 Samplestungsten: Volumetric Causticembree: Pathtracer - Asian Dragonblender: Classroom - CPU-Onlyluxcorerender: Rainbow Colors and Prismastcenc: Exhaustivekvazaar: Bosphorus 4K - Ultra Fastbasis: UASTC Level 3build-mplayer: Time To Compileastcenc: Thoroughtungsten: Non-Exponentialkvazaar: Bosphorus 4K - Very Fastluxcorerender: DLSCkvazaar: Bosphorus 1080p - Slowblender: BMW27 - CPU-Onlytensorflow-lite: Inception ResNet V2kvazaar: Bosphorus 1080p - Mediumlammps: Rhodopsin Proteintensorflow-lite: Mobilenet Floattensorflow-lite: Inception V4namd: ATPase Simulation - 327,506 Atomspovray: Trace Timex265: Bosphorus 4Konednn: IP Batch All - f32 - CPUc-ray: Total Time - 4K, 16 Rays Per Pixelgraphics-magick: Resizingbuild-linux-kernel: Time To Compiletensorflow-lite: SqueezeNetrodinia: OpenMP CFD Solvertungsten: Hairbuild-llvm: Time To Compilenumenta-nab: Earthgecko Skylinetensorflow-lite: Mobilenet Quantbuild-ffmpeg: Time To Compileappleseed: Emilybasis: UASTC Level 2compress-7zip: Compress Speed Testx264: H.264 Video Encodingsvt-vp9: Visual Quality Optimized - Bosphorus 1080pappleseed: Disney Materialsunflow: Global Illumination + Image Synthesispolyhedron: linpkncnn: CPU-v2-v2 - mobilenet-v2appleseed: Material Testerneatbench: CPUkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastncnn: CPU - efficientnet-b0gromacs: Water Benchmarknumenta-nab: Relative Entropybuild-imagemagick: Time To Compilemnn: inception-v3mnn: SqueezeNetV1.0ncnn: CPU-v3-v3 - mobilenet-v3numenta-nab: Windowed Gaussianscimark2: Fast Fourier Transformavifenc: 0ocrmypdf: Processing 60 Page PDF Documentncnn: CPU - mobilenetavifenc: 2svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pdav1d: Chimera 1080pmnn: MobileNetV2_224build-php: Time To Compiletensorflow-lite: NASNet Mobilemnn: resnet-v2-50dav1d: Summer Nature 4Kdacapobench: Tradesoapnumenta-nab: Bayesian Changepointrodinia: OpenMP Leukocyteneat: wireguard: ncnn: CPU - squeezenetlibraw: Post-Processing Benchmarkncnn: CPU - yolov4-tinycompress-zstd: 19compress-zstd: 3aom-av1: Speed 8 Realtimencnn: CPU - googlenetaom-av1: Speed 4 Two-Passplaidml: No - Inference - ResNet 50 - CPUplaidml: No - Inference - Inception V3 - CPUncnn: CPU - resnet50tungsten: Water Causticaom-av1: Speed 6 Two-Passbuild-gdb: Time To Compilevpxenc: Speed 5aom-av1: Speed 6 Realtimeplaidml: No - Inference - Mobilenet - CPUperl-benchmark: Pod2htmlradiance: Serialbasis: UASTC Level 0numpy: dacapobench: Jythonbuild-apache: Time To Compileradiance: SMP Parallelpyperformance: raytracemafft: Multiple Sequence Alignment - LSU RNAscimark2: Compositevpxenc: Speed 0mrbayes: Primate Phylogeny Analysissqlite-speedtest: Timed Time - Size 1,000inkscape: SVG Files To PNGpyperformance: nbodygimp: resizetjbench: Decompression Throughputcrafty: Elapsed Timeastcenc: Mediumselenium: ARES-6 - Google Chromebasis: ETC1Sselenium: Speedometer - Google Chromeselenium: StyleBench - Google Chromefhourstones: Complex Connect-4 Solvinggraphics-magick: Rotatepolyhedron: proteinmocassin: Dust 2D tau100.0pyperformance: pathliblibreoffice: 20 Documents To PDFdav1d: Chimera 1080p 10-bithint: FLOATpyperformance: regex_compileselenium: Jetstream 2 - Google Chromemontage: Mosaic of M17, K band, 1.5 deg x 1.5 degrodinia: OpenMP HotSpot3Drawtherapee: Total Benchmark Timeblosc: blosclzselenium: Kraken - Google Chromepyperformance: python_startuppybench: Total For Average Test Timesdacapobench: H2tesseract-ocr: Time To OCR 7 Imagesselenium: WASM collisionDetection - Firefoxwebp: Quality 100, Losslessencode-mp3: WAV To MP3caffe: AlexNet - CPU - 200espeak: Text-To-Speech Synthesisavifenc: 8webp: Quality 100, Highest Compressionperl-benchmark: Interpreterncnn: CPU - resnet18deepspeech: CPUgimp: auto-levelsgimp: rotateoctave-benchmark: encode-flac: WAV To FLACwebp: Quality 100caffe: GoogleNet - CPU - 200avifenc: 10cloverleaf: Lagrangian-Eulerian Hydrodynamicswebp: Defaultffte: N=256, 3D Complex FFT Routinedolfyn: Computational Fluid Dynamicsctx-clock: Context Switch Timebyte: Dhrystone 2gmic: Plotting Isosurface Of A 3D Volume, 1000 Timeswebp: Quality 100, Lossless, Highest Compressiongegl: Scalepolyhedron: airscimark2: Monte Carlornnoise: selenium: WASM collisionDetection - Google Chromegegl: Color Enhanceselenium: Jetstream 2 - Firefoxgegl: Rotate 90 Degreesgegl: Cropselenium: Kraken - Firefoxgegl: Antialiasselenium: WASM imageConvolute - Google Chromegegl: Reflectmlpack: scikit_svmselenium: WASM imageConvolute - Firefoxbotan: Twofishbotan: Blowfishtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1botan: CAST-256selenium: Maze Solver - Firefoxselenium: Maze Solver - Google Chromemlpack: scikit_qdaopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUncnn: CPU - alexnetncnn: CPU - vgg16ncnn: CPU - blazefacencnn: CPU - mnasnetncnn: CPU - shufflenet-v2mnn: mobilenet-v1-1.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 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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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 5 5600XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.005947, N = 3SE +/- 0.012114, N = 4SE +/- 0.031404, N = 3SE +/- 0.010830, N = 3SE +/- 0.031737, N = 8SE +/- 0.063332, N = 3SE +/- 0.046914, N = 7SE +/- 0.056961, N = 3SE +/- 0.042599, N = 3SE +/- 0.064485, N = 15SE +/- 0.081541, N = 3SE +/- 0.129211, N = 30.9337030.9806012.2852112.7408913.0046234.0196494.1679654.2365345.3032405.4767337.4312499.0653961. (CC) gcc options: -O3 -march=native -fopenmp

Aircrack-ng

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

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Ryzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 5 5600XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X16K32K48K64K80KSE +/- 7.25, N = 3SE +/- 7.18, N = 3SE +/- 13.11, N = 3SE +/- 7.26, N = 3SE +/- 22.25, N = 3SE +/- 21.62, N = 3SE +/- 45.94, N = 3SE +/- 14.11, N = 3SE +/- 14.95, N = 3SE +/- 24.81, N = 3SE +/- 55.59, N = 3SE +/- 44.40, N = 39919.7910871.2022344.1525302.4530745.6132451.2542773.9743919.3145909.6558788.4761777.8574570.421. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPURyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X3691215SE +/- 0.19687, N = 3SE +/- 0.11026, N = 10SE +/- 0.02579, N = 3SE +/- 0.02430, N = 3SE +/- 0.01194, N = 3SE +/- 0.06515, N = 15SE +/- 0.03302, N = 3SE +/- 0.00634, N = 3SE +/- 0.01117, N = 3SE +/- 0.00462, N = 3SE +/- 0.00820, N = 3SE +/- 0.00617, N = 312.6867011.884506.590165.459674.920774.488763.264373.153042.962532.724672.476062.27610MIN: 12.17MIN: 11.22MIN: 6.32MIN: 5.25MIN: 4.73MIN: 4.22MIN: 3.14MIN: 3.08MIN: 2.92MIN: 2.66MIN: 2.42MIN: 2.21. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Ryzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X500K1000K1500K2000K2500KSE +/- 543.95, N = 3SE +/- 64.00, N = 3SE +/- 390.65, N = 3SE +/- 620.08, N = 3SE +/- 1193.14, N = 3SE +/- 1317.78, N = 3SE +/- 10837.18, N = 3SE +/- 1201.85, N = 3SE +/- 1666.67, N = 3SE +/- 2027.59, N = 3SE +/- 9609.02, N = 3SE +/- 577.35, N = 3402572443008724083752998963686991599133133313666671413667184066718680002226000-lgmp-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X3K6K9K12K15KSE +/- 2.54, N = 3SE +/- 4.78, N = 3SE +/- 15.37, N = 3SE +/- 10.70, N = 3SE +/- 5.04, N = 3SE +/- 17.51, N = 3SE +/- 36.37, N = 3SE +/- 41.23, N = 3SE +/- 17.62, N = 3SE +/- 11.51, N = 3SE +/- 122.60, N = 3SE +/- 16.60, N = 32518.632742.775506.565795.796330.567134.908760.849097.749817.0810933.3312280.8513580.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X3K6K9K12K15KSE +/- 2.99, N = 3SE +/- 2.00, N = 3SE +/- 16.16, N = 3SE +/- 26.31, N = 3SE +/- 3.08, N = 3SE +/- 38.82, N = 3SE +/- 3.76, N = 3SE +/- 28.66, N = 3SE +/- 69.83, N = 3SE +/- 8.30, N = 3SE +/- 34.34, N = 3SE +/- 14.40, N = 32515.452728.145477.655700.856222.637092.348748.799125.699817.4010990.5412650.2413518.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X48121620SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 32.683.126.366.876.977.6510.4611.0411.1011.9112.8913.74

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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X510152025SE +/- 0.05307, N = 3SE +/- 0.09746, N = 3SE +/- 0.11188, N = 3SE +/- 0.10039, N = 3SE +/- 0.01096, N = 3SE +/- 0.02969, N = 3SE +/- 0.01077, N = 3SE +/- 0.00218, N = 3SE +/- 0.00812, N = 3SE +/- 0.01329, N = 3SE +/- 0.00337, N = 3SE +/- 0.00365, N = 318.9968017.585809.023368.719107.603246.865575.253665.084604.787664.716704.297133.71587MIN: 17.75MIN: 16.17MIN: 8.56MIN: 8.56MIN: 7.37MIN: 6.67MIN: 5.14MIN: 5.02MIN: 4.68MIN: 4.35MIN: 4.2MIN: 3.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X160320480640800SE +/- 1.93, N = 3SE +/- 0.57, N = 3SE +/- 1.39, N = 3SE +/- 1.94, N = 3SE +/- 0.23, N = 3SE +/- 0.55, N = 3SE +/- 1.41, N = 3SE +/- 0.37, N = 3SE +/- 2.01, N = 3SE +/- 1.14, N = 3SE +/- 0.56, N = 3SE +/- 0.55, N = 3722.40658.70344.92318.34282.75263.00232.66220.22214.09207.12179.87161.22MIN: 718.59MIN: 654.48MIN: 339.7MIN: 312.42MIN: 281.12MIN: 260.82MIN: 229.79MIN: 218.35MIN: 206.29MIN: 203.26MIN: 178.58MIN: 159.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X0.55581.11161.66742.22322.779SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 30.570.631.281.291.291.561.931.972.102.202.432.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURyzen 5 2600Ryzen 5 2600XRyzen 5 5600XCore i5 10600KRyzen 5 3600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X0.55131.10261.65392.20522.7565SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.570.621.261.281.281.521.931.992.072.192.432.451. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 5950X0.81451.6292.44353.2584.0725SE +/- 0.00, 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 +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.850.951.681.801.942.112.622.783.063.253.343.621. (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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 3950XCore i9 10900KRyzen 9 5950X0.81231.62462.43693.24924.0615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.850.951.681.781.942.102.612.783.063.273.293.611. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X60120180240300SE +/- 0.17, N = 3SE +/- 0.28, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.24, N = 3SE +/- 0.49, N = 3SE +/- 0.35, N = 3SE +/- 1.28, N = 3SE +/- 0.73, N = 3SE +/- 0.05, N = 367.4275.1494.03114.36125.94128.78177.75182.97192.75233.83236.58286.17MIN: 1 / MAX: 225MIN: 1 / MAX: 251MIN: 1 / MAX: 339MIN: 1 / MAX: 458MIN: 1 / MAX: 503MIN: 1 / MAX: 463MIN: 1 / MAX: 634MIN: 1 / MAX: 652MIN: 1 / MAX: 767MIN: 1 / MAX: 918MIN: 1 / MAX: 853MIN: 1 / MAX: 1102

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X10002000300040005000SE +/- 0.28, N = 3SE +/- 1.43, N = 3SE +/- 0.12, N = 3SE +/- 0.64, N = 3SE +/- 6.82, N = 3SE +/- 0.77, N = 3SE +/- 1.56, N = 3SE +/- 2.69, N = 3SE +/- 13.38, N = 3SE +/- 0.46, N = 3SE +/- 0.54, N = 3SE +/- 5.73, N = 31157.01288.71806.42027.32038.22490.63489.83551.03712.33858.34743.44897.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 5 5600XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X8K16K24K32K40KSE +/- 13.53, N = 3SE +/- 9.54, N = 3SE +/- 8.45, N = 3SE +/- 1.20, N = 3SE +/- 22.65, N = 3SE +/- 10.67, N = 3SE +/- 49.65, N = 3SE +/- 62.78, N = 3SE +/- 35.89, N = 3SE +/- 35.59, N = 3SE +/- 53.48, N = 3SE +/- 100.07, N = 391131021510481130221449416301202442072923591280963021438305-lgmp-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

TSCP

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

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X400K800K1200K1600K2000KSE +/- 26659.00, N = 25SE +/- 3891.87, N = 5SE +/- 2742.19, N = 5SE +/- 3070.42, N = 5SE +/- 9606.45, N = 18SE +/- 11294.71, N = 5SE +/- 4368.74, N = 5SE +/- 2392.41, N = 5SE +/- 2615.51, N = 5SE +/- 2451.81, N = 5SE +/- 2205.85, N = 5SE +/- 21208.90, N = 5491520112546813278381376972138520614018321407253148219515727701900557196007419707761. (CC) gcc options: -O3 -march=native

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X612182430SE +/- 0.0129, N = 3SE +/- 0.0174, N = 3SE +/- 0.0234, N = 3SE +/- 0.1152, N = 3SE +/- 0.1142, N = 3SE +/- 0.0316, N = 3SE +/- 0.0177, N = 3SE +/- 0.0220, N = 3SE +/- 0.0304, N = 3SE +/- 0.0395, N = 3SE +/- 0.1561, N = 3SE +/- 0.1054, N = 35.98126.51248.30259.794610.391211.048214.959415.287317.704119.467919.874623.7842MIN: 5.94 / MAX: 6.09MIN: 6.45 / MAX: 6.62MIN: 8.23 / MAX: 8.46MIN: 9.48 / MAX: 10.12MIN: 9.88 / MAX: 10.68MIN: 10.81 / MAX: 11.32MIN: 14.82 / MAX: 15.29MIN: 15.12 / MAX: 15.64MIN: 17.49 / MAX: 18.13MIN: 19.24 / MAX: 19.87MIN: 19.42 / MAX: 20.41MIN: 23.34 / MAX: 24.54

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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XCore i9 10900KRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X60K120K180K240K300K685167530293929101498116652131827183744183810188522215925248077267071-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

N-Queens

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

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X510152025SE +/- 0.031, N = 3SE +/- 0.018, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.015, N = 3SE +/- 0.002, N = 3SE +/- 0.012, N = 3SE +/- 0.014, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 321.62619.42618.75918.01213.43612.99910.3539.2459.0687.2066.7045.6551. (CC) gcc options: -static -fopenmp -O3 -march=native

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X612182430SE +/- 0.0595, N = 3SE +/- 0.0168, N = 3SE +/- 0.0261, N = 3SE +/- 0.0259, N = 3SE +/- 0.0102, N = 3SE +/- 0.0479, N = 3SE +/- 0.0182, N = 3SE +/- 0.0537, N = 3SE +/- 0.0477, N = 3SE +/- 0.1287, N = 3SE +/- 0.0376, N = 3SE +/- 0.1569, N = 36.40887.02838.57448.654410.669111.567915.424715.659016.092619.922921.044024.2757MIN: 6.07 / MAX: 6.56MIN: 6.98 / MAX: 7.15MIN: 8.48 / MAX: 8.74MIN: 8.58 / MAX: 8.85MIN: 10.59 / MAX: 10.83MIN: 11.44 / MAX: 11.85MIN: 14.96 / MAX: 15.79MIN: 15.48 / MAX: 16.06MIN: 15.89 / MAX: 16.56MIN: 19.53 / MAX: 20.41MIN: 20.83 / MAX: 21.49MIN: 23.87 / MAX: 25.12

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X7K14K21K28K35KSE +/- 19.88, N = 3SE +/- 17.53, N = 3SE +/- 22.70, N = 3SE +/- 45.92, N = 3SE +/- 53.82, N = 3SE +/- 50.98, N = 3SE +/- 95.40, N = 3SE +/- 51.29, N = 3SE +/- 54.08, N = 3SE +/- 55.57, N = 3SE +/- 105.68, N = 3SE +/- 90.96, N = 38728949911261114091431015422197652091021517264202841632561

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 32.913.193.934.505.165.966.807.377.568.4710.2610.801. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SciMark

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

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix FactorizationRyzen 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X30060090012001500SE +/- 2.19, N = 3SE +/- 1.56, N = 3SE +/- 6.22, N = 3SE +/- 7.05, N = 3SE +/- 26.41, N = 3SE +/- 11.76, N = 3SE +/- 11.92, N = 3SE +/- 0.29, N = 3SE +/- 11.39, N = 3SE +/- 3.19, N = 3SE +/- 2.29, N = 3SE +/- 3.97, N = 3404.71431.561000.221003.691010.571019.651022.731084.831176.071476.821485.051501.031. (CC) gcc options: -lm

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.973.274.044.595.256.076.967.517.718.6010.4010.941. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

m-queens

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

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveCore i5 10600KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X20406080100SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3108.06104.8093.9990.2370.7465.3459.6146.7445.8237.5433.8429.551. (CXX) g++ options: -fopenmp -O2 -march=native

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X1122334455SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 313.4214.7418.5121.3822.6028.0035.9536.5938.2343.1543.3348.711. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X612182430SE +/- 0.0210, N = 3SE +/- 0.0101, N = 3SE +/- 0.0507, N = 3SE +/- 0.0501, N = 3SE +/- 0.0502, N = 3SE +/- 0.0774, N = 3SE +/- 0.1843, N = 3SE +/- 0.0456, N = 3SE +/- 0.0173, N = 3SE +/- 0.0158, N = 3SE +/- 0.1616, N = 3SE +/- 0.1286, N = 37.11597.58569.512012.177512.337012.400716.525516.832320.429920.479821.663525.5897MIN: 7.05 / MAX: 7.23MIN: 7.54 / MAX: 7.69MIN: 9.4 / MAX: 9.74MIN: 12 / MAX: 12.41MIN: 12.23 / MAX: 12.58MIN: 12.25 / MAX: 12.74MIN: 15.44 / MAX: 17.03MIN: 16.65 / MAX: 17.13MIN: 20.28 / MAX: 20.88MIN: 20.33 / MAX: 20.81MIN: 21.35 / MAX: 22.34MIN: 25.22 / MAX: 26.09

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 7 3800XTRyzen 5 5600XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.45, N = 3SE +/- 0.23, N = 3SE +/- 1.57, N = 3SE +/- 0.18, N = 3SE +/- 0.83, N = 3SE +/- 1.39, N = 3SE +/- 1.29, N = 3SE +/- 1.05, N = 3SE +/- 2.01, N = 3SE +/- 4.72, N = 3285.89305.10417.53420.46545.54576.38670.09684.39706.15829.79873.701025.441. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X80160240320400SE +/- 0.46, N = 3SE +/- 0.18, N = 3SE +/- 0.45, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.98, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3366.41334.41288.99271.38233.69200.06162.99146.60141.23124.61107.97102.26

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X90180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 31191311501571762152692983013304074201. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

asmFish

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

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X13M26M39M52M65MSE +/- 127286.07, N = 3SE +/- 225356.28, N = 3SE +/- 31310.34, N = 3SE +/- 67429.43, N = 3SE +/- 238676.97, N = 3SE +/- 148329.91, N = 3SE +/- 139565.35, N = 3SE +/- 457800.10, N = 3SE +/- 439150.46, N = 3SE +/- 623050.05, N = 3SE +/- 711272.98, N = 4SE +/- 122568.73, N = 3170022461886875021747154222944782727519229158077388368734008230940392459493487125292948459943519

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XCore i9 10900KRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X306090120150SE +/- 2.15, N = 3SE +/- 3.50, N = 12SE +/- 1.56, N = 4SE +/- 0.13, N = 3SE +/- 0.21, N = 3SE +/- 0.87, N = 3SE +/- 1.12, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 3SE +/- 0.10, N = 3153.10148.75120.64117.5699.6687.9473.9765.9860.1252.3646.3743.461. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X50100150200250SE +/- 1.04, N = 3SE +/- 0.49, N = 3SE +/- 1.12, N = 3SE +/- 0.22, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.56, N = 3SE +/- 0.08, N = 3SE +/- 0.49, N = 3SE +/- 0.16, N = 3231.83212.24198.11180.78146.32133.84109.47103.71100.5580.3979.7066.151. (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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X80160240320400SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.79, N = 3SE +/- 0.14, N = 3SE +/- 0.27, N = 3SE +/- 0.85, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.41, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3362.26330.16309.61306.48231.62227.00170.15164.71159.41123.34120.53103.621. (CXX) g++ options: -O2 -lOpenCL

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X12M24M36M48M60MSE +/- 72737.67, N = 3SE +/- 72351.59, N = 3SE +/- 21979.47, N = 3SE +/- 72350.39, N = 3SE +/- 136771.99, N = 3SE +/- 154542.53, N = 3SE +/- 66368.72, N = 3SE +/- 69587.97, N = 3SE +/- 140100.66, N = 3SE +/- 241698.18, N = 3SE +/- 127032.63, N = 3SE +/- 325858.19, N = 31623851918145930196530792087177124584351278084413572681338124311389153954560125552407367567423501. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPURyzen 5 2600Ryzen 5 2600XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTCore i5 10600KRyzen 5 5600XRyzen 9 3950XRyzen 9 3900XCore i9 10900KRyzen 9 5950XRyzen 9 5900X3691215SE +/- 0.01746, N = 3SE +/- 0.01059, N = 3SE +/- 0.06254, N = 15SE +/- 0.04407, N = 15SE +/- 0.01604, N = 3SE +/- 0.01019, N = 3SE +/- 0.02155, N = 3SE +/- 0.03194, N = 3SE +/- 0.04241, N = 7SE +/- 0.01927, N = 3SE +/- 0.00620, N = 3SE +/- 0.01689, N = 310.444809.610056.236465.736874.813804.336474.223374.039263.800313.285623.209103.00338MIN: 10.22MIN: 9.21MIN: 5.63MIN: 5.47MIN: 4.58MIN: 4.21MIN: 4.01MIN: 3.77MIN: 3.45MIN: 3.02MIN: 3.05MIN: 2.771. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X246810SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.000, N = 3SE +/- 0.011, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 3SE +/- 0.013, N = 3SE +/- 0.020, N = 31.7521.9162.4652.7072.9613.3474.3204.4114.4935.3155.3206.0631. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Smallpt

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X48121620SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.057, N = 3SE +/- 0.004, N = 3SE +/- 0.017, N = 3SE +/- 0.003, N = 3SE +/- 0.013, N = 3SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.019, N = 3SE +/- 0.003, N = 3SE +/- 0.022, N = 317.03115.45914.20413.51711.6069.8477.9057.0926.9446.1605.2004.9371. (CXX) g++ options: -fopenmp -O3

Tungsten Renderer

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X48121620SE +/- 0.04612, N = 3SE +/- 0.03970, N = 3SE +/- 0.02071, N = 3SE +/- 0.00733, N = 3SE +/- 0.01067, N = 3SE +/- 0.02615, N = 3SE +/- 0.01161, N = 3SE +/- 0.01628, N = 3SE +/- 0.01244, N = 3SE +/- 0.01483, N = 3SE +/- 0.00557, N = 3SE +/- 0.00440, N = 316.8367015.2225013.5114012.2322010.250309.879307.421957.249607.007285.956645.614404.96614-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=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X612182430SE +/- 0.0269, N = 3SE +/- 0.0569, N = 3SE +/- 0.0493, N = 3SE +/- 0.0117, N = 3SE +/- 0.0495, N = 3SE +/- 0.0407, N = 3SE +/- 0.1165, N = 3SE +/- 0.0456, N = 3SE +/- 0.1053, N = 3SE +/- 0.0945, N = 3SE +/- 0.1585, N = 3SE +/- 0.1295, N = 37.39937.99659.630310.072911.923112.521016.843016.990017.630720.378921.869225.0722MIN: 7.33 / MAX: 7.55MIN: 7.89 / MAX: 8.21MIN: 9.54 / MAX: 9.84MIN: 10.02 / MAX: 10.19MIN: 11.25 / MAX: 12.08MIN: 12.41 / MAX: 12.79MIN: 16.53 / MAX: 17.33MIN: 16.82 / MAX: 17.33MIN: 17.35 / MAX: 18.02MIN: 20.06 / MAX: 20.8MIN: 21.44 / MAX: 22.58MIN: 24.83 / MAX: 25.95

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X160320480640800SE +/- 0.96, N = 3SE +/- 1.30, N = 3SE +/- 1.21, N = 3SE +/- 0.62, N = 3SE +/- 0.50, N = 3SE +/- 0.22, N = 3SE +/- 0.66, N = 3SE +/- 0.42, N = 3SE +/- 0.24, N = 3SE +/- 0.31, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3765.16695.98631.26596.32525.71433.37352.16317.03303.72277.96230.94226.15

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X0.85731.71462.57193.42924.2865SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 31.141.261.401.421.671.932.462.642.733.133.643.81MIN: 1.11 / MAX: 1.2MIN: 1.22 / MAX: 1.32MIN: 1.37 / MAX: 1.45MIN: 1.38 / MAX: 1.47MIN: 1.62 / MAX: 1.73MIN: 1.89 / MAX: 1.98MIN: 2.39 / MAX: 2.52MIN: 2.59 / MAX: 2.68MIN: 2.68 / MAX: 2.76MIN: 3.07 / MAX: 3.18MIN: 3.55 / MAX: 3.67MIN: 3.73 / MAX: 3.9

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 5 2600Core i5 10600KRyzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X70140210280350SE +/- 0.22, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.37, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3337.70306.90306.32274.19231.33199.87170.21145.09140.27121.94105.63101.251. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X1122334455SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 314.7416.1720.8522.8426.2230.1335.2536.0836.8741.7045.9248.991. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Ryzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X20406080100SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 393.8684.7380.0873.8360.7354.9746.5441.2740.6733.8031.6528.261. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Timed MPlayer Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X1428425670SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 362.7457.5547.8343.9038.5733.9329.0425.7725.0622.0220.7819.02

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X1020304050SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 342.1738.3938.0134.3728.8925.1321.3118.3917.8115.4113.5512.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Tungsten Renderer

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 5 5600XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X3691215SE +/- 0.03130, N = 3SE +/- 0.03677, N = 3SE +/- 0.02845, N = 3SE +/- 0.01150, N = 3SE +/- 0.01889, N = 3SE +/- 0.00390, N = 3SE +/- 0.00415, N = 3SE +/- 0.08565, N = 14SE +/- 0.01251, N = 3SE +/- 0.01327, N = 3SE +/- 0.00924, N = 3SE +/- 0.00273, N = 312.4271011.2984010.437808.899847.583437.464495.809235.793385.146034.683104.384733.78827-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=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X612182430SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 38.118.9011.4712.7514.6316.9519.5720.6421.1623.7425.1726.591. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X0.80781.61562.42343.23124.039SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 31.101.221.261.331.611.802.212.402.502.933.293.59MIN: 1.06 / MAX: 1.11MIN: 1.17 / MAX: 1.23MIN: 1.22 / MAX: 1.28MIN: 1.26 / MAX: 1.37MIN: 1.53 / MAX: 1.65MIN: 1.72 / MAX: 1.86MIN: 2.12 / MAX: 2.33MIN: 2.29 / MAX: 2.49MIN: 2.39 / MAX: 2.58MIN: 2.79 / MAX: 3.06MIN: 3.15 / MAX: 3.44MIN: 3.43 / MAX: 3.83

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X918273645SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 311.8113.0216.1217.8920.4725.5427.3427.6628.3930.5636.2638.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X60120180240300SE +/- 0.71, N = 3SE +/- 0.48, N = 3SE +/- 0.67, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.32, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 3254.58230.28205.38203.69178.17150.76114.70111.61106.8095.0281.7778.28

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 V2Core i5 10600KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X800K1600K2400K3200K4000KSE +/- 2574.96, N = 3SE +/- 5186.93, N = 3SE +/- 453.22, N = 3SE +/- 752.71, N = 3SE +/- 979.40, N = 3SE +/- 651.16, N = 3SE +/- 151.69, N = 3SE +/- 594.04, N = 3SE +/- 568.71, N = 3SE +/- 569.48, N = 3SE +/- 289.04, N = 3SE +/- 427.88, N = 3393806338346773446837335669329460002351497213959317950131761010159801312884071212237

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X918273645SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 312.1313.3916.6718.3620.9826.2028.1328.5629.3631.4737.1639.371. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X3691215SE +/- 0.032, N = 15SE +/- 0.039, N = 3SE +/- 0.012, N = 3SE +/- 0.018, N = 3SE +/- 0.083, N = 3SE +/- 0.073, N = 3SE +/- 0.035, N = 3SE +/- 0.087, N = 3SE +/- 0.144, N = 3SE +/- 0.117, N = 3SE +/- 0.251, N = 15SE +/- 0.065, N = 34.0354.5765.2665.2936.0526.8808.7019.2629.48710.71911.54113.0911. (CXX) g++ options: -O3 -pthread -lm

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i5 10600KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X40K80K120K160K200KSE +/- 52.68, N = 3SE +/- 394.42, N = 3SE +/- 12.10, N = 3SE +/- 32.84, N = 3SE +/- 28.62, N = 3SE +/- 54.42, N = 3SE +/- 153.73, N = 3SE +/- 43.17, N = 3SE +/- 28.10, N = 3SE +/- 47.41, N = 3SE +/- 58.97, N = 3SE +/- 43.98, N = 3202481.0195793.0175332.0171301.0150133.0120735.0114230.093903.692214.283458.766530.362588.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i5 10600KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X900K1800K2700K3600K4500KSE +/- 2267.19, N = 3SE +/- 5758.27, N = 3SE +/- 1831.95, N = 3SE +/- 2496.69, N = 3SE +/- 515.65, N = 3SE +/- 1145.44, N = 3SE +/- 212.21, N = 3SE +/- 793.87, N = 3SE +/- 699.74, N = 3SE +/- 185.20, N = 3SE +/- 902.45, N = 3SE +/- 792.49, N = 3435082342383773818640371310732675802600840237293019990701961940178038014324031346957

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XCore i9 10900KRyzen 9 3950XRyzen 9 5950X0.77671.55342.33013.10683.8835SE +/- 0.00108, N = 3SE +/- 0.00019, N = 3SE +/- 0.00119, N = 3SE +/- 0.00099, N = 3SE +/- 0.00102, N = 3SE +/- 0.00373, N = 3SE +/- 0.00121, N = 3SE +/- 0.00173, N = 3SE +/- 0.00218, N = 3SE +/- 0.00955, N = 3SE +/- 0.00338, N = 3SE +/- 0.00545, N = 33.452093.161042.869952.379352.117112.085591.544881.495261.274081.236071.149971.07098

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X1632486480SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 374.1567.3359.3458.7350.2242.7733.7331.5330.5827.4223.5123.011. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTCore i5 10600KRyzen 5 5600XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 4SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 38.309.1011.7012.4812.5614.4718.8119.3719.6523.0923.5426.501. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPURyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XCore i5 10600KRyzen 7 3800XTCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X306090120150SE +/- 2.13, N = 3SE +/- 0.50, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3145.40132.8871.4668.3764.9464.0257.1756.2351.4248.4147.4745.74MIN: 139.35MIN: 128.55MIN: 70MIN: 67.42MIN: 63.43MIN: 62.9MIN: 56.54MIN: 55.46MIN: 50.48MIN: 47.56MIN: 46.54MIN: 44.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

C-Ray

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

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelRyzen 5 2600Core i5 10600KRyzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X20406080100SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 395.4694.6086.8282.4471.9060.0252.1342.8942.0337.7831.3330.221. (CC) gcc options: -lm -lpthread -O3

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XTRyzen 9 3900XRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X400800120016002000SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.45, N = 3SE +/- 1.45, N = 3SE +/- 0.88, N = 3SE +/- 1.86, N = 3SE +/- 0.67, N = 3SE +/- 2.03, N = 3SE +/- 1.73, N = 3SE +/- 1.20, N = 360063873976091510311264141514321610182918931. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X306090120150SE +/- 0.83, N = 3SE +/- 0.64, N = 3SE +/- 0.71, N = 3SE +/- 0.56, N = 3SE +/- 0.56, N = 3SE +/- 0.51, N = 3SE +/- 0.50, N = 3SE +/- 0.50, N = 3SE +/- 0.60, N = 3SE +/- 0.47, N = 3SE +/- 0.56, N = 3SE +/- 0.64, N = 3142.56130.23106.43100.4089.8476.6963.9557.9156.7852.2747.3645.42

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: SqueezeNetCore i5 10600KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X60K120K180K240K300KSE +/- 9.85, N = 3SE +/- 866.41, N = 3SE +/- 41.39, N = 3SE +/- 12.72, N = 3SE +/- 81.10, N = 3SE +/- 92.04, N = 3SE +/- 7.51, N = 3SE +/- 17.57, N = 3SE +/- 149.12, N = 3SE +/- 69.62, N = 3SE +/- 47.83, N = 3SE +/- 64.29, N = 3296354.0288755.0258726.0251199.0220801.0180202.0167595.0138101.0135602.0123127.0100527.094678.2

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 7 3800XTRyzen 5 5600XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X714212835SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 331.7830.5028.4927.1622.2921.2818.3413.6013.2912.1710.8210.271. (CXX) g++ options: -O2 -lOpenCL

Tungsten Renderer

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X918273645SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 340.5936.9635.6833.1727.2024.3720.0717.9317.3815.6813.5413.14-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 -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X2004006008001000SE +/- 3.27, N = 3SE +/- 3.63, N = 3SE +/- 0.78, N = 3SE +/- 1.66, N = 3SE +/- 1.76, N = 3SE +/- 0.22, N = 3SE +/- 2.33, N = 3SE +/- 3.29, N = 3SE +/- 2.72, N = 3SE +/- 1.43, N = 3SE +/- 4.14, N = 3SE +/- 4.08, N = 31114.221024.46807.29748.56687.97586.16506.57446.18432.30402.44364.33361.17

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 0.82, N = 3SE +/- 2.62, N = 3SE +/- 2.07, N = 3SE +/- 0.81, N = 3SE +/- 0.09, N = 3SE +/- 1.55, N = 3SE +/- 1.08, N = 15SE +/- 0.34, N = 3SE +/- 0.37, N = 3SE +/- 0.56, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3209.27193.62152.56150.81121.69113.8093.1186.3083.1977.8570.6167.90

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 5 2600Core i5 10600KRyzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X40K80K120K160K200KSE +/- 120.14, N = 3SE +/- 26.52, N = 3SE +/- 77.44, N = 3SE +/- 18.84, N = 3SE +/- 45.21, N = 3SE +/- 113.90, N = 3SE +/- 268.60, N = 3SE +/- 68.68, N = 3SE +/- 14.97, N = 3SE +/- 56.67, N = 3SE +/- 29.88, N = 3SE +/- 45.89, N = 3209204.0205404.0188045.0175736.0164490.0123482.0117619.096280.294517.091290.468497.967914.5

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X20406080100SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 391.6883.9770.3465.2756.2251.2444.8740.4839.5234.1633.4729.82

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X130260390520650590.16539.89511.74470.18397.24349.40299.91267.07259.33224.29208.36192.18

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X1122334455SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 348.5643.9341.4038.6731.6729.3225.1822.8822.6318.7218.3015.961. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X20K40K60K80K100KSE +/- 39.73, N = 3SE +/- 179.41, N = 3SE +/- 325.15, N = 3SE +/- 44.51, N = 3SE +/- 206.95, N = 3SE +/- 139.97, N = 3SE +/- 35.83, N = 3SE +/- 286.83, N = 3SE +/- 28.54, N = 3SE +/- 80.31, N = 3SE +/- 191.60, N = 3SE +/- 79.67, N = 33142933526418974385554132563706477276909775508943790071947791. (CXX) g++ options: -pipe -lpthread

x264

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X4080120160200SE +/- 0.57, N = 3SE +/- 0.50, N = 3SE +/- 0.59, N = 3SE +/- 1.15, N = 3SE +/- 1.17, N = 4SE +/- 0.83, N = 3SE +/- 1.27, N = 3SE +/- 1.56, N = 3SE +/- 2.00, N = 4SE +/- 2.62, N = 3SE +/- 1.78, N = 3SE +/- 2.09, N = 657.5862.2075.1477.1993.5898.32126.19136.32139.09158.81162.49172.751. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTCore i5 10600KRyzen 5 5600XRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 0.24, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.55, N = 3SE +/- 0.41, N = 3SE +/- 0.46, N = 3SE +/- 0.17, N = 3SE +/- 0.53, N = 3SE +/- 0.23, N = 3SE +/- 0.45, N = 375.5881.38109.32119.86122.76126.80180.29180.89186.01200.83206.64220.351. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X70140210280350342.04317.67305.77291.01258.69214.51178.12161.51156.53142.65119.86117.67

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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X0.40640.81281.21921.62562.032SE +/- 0.024, N = 3SE +/- 0.027, N = 3SE +/- 0.011, N = 15SE +/- 0.006, N = 3SE +/- 0.016, N = 3SE +/- 0.012, N = 6SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 15SE +/- 0.008, N = 41.8061.5911.3401.2951.0191.0070.8420.8050.7810.6970.6840.627MIN: 1.62 / MAX: 2.45MIN: 1.42 / MAX: 2.11MIN: 1.16 / MAX: 1.86MIN: 1.2 / MAX: 1.71MIN: 0.95 / MAX: 1.37MIN: 0.88 / MAX: 1.38MIN: 0.73 / MAX: 1.13MIN: 0.69 / MAX: 1.14MIN: 0.71 / MAX: 1.21MIN: 0.57 / MAX: 1.33MIN: 0.56 / MAX: 0.94MIN: 0.5 / MAX: 1.04

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 5 2600Ryzen 5 2600XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3950XCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X0.991.982.973.964.954.404.343.223.203.133.123.032.642.281.551.541.53

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 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i5 10600KCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X246810SE +/- 0.22, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.848.055.825.645.555.405.395.335.064.374.143.10MIN: 8.31 / MAX: 46.7MIN: 7.71 / MAX: 22.06MIN: 5.69 / MAX: 6.18MIN: 5.52 / MAX: 7.35MIN: 5.45 / MAX: 10.07MIN: 5.25 / MAX: 6.16MIN: 5.23 / MAX: 6.48MIN: 5.16 / MAX: 6.82MIN: 4.97 / MAX: 6.13MIN: 4.29 / MAX: 5.32MIN: 4.08 / MAX: 5.04MIN: 3.03 / MAX: 4.251. (CXX) g++ options: -O3 -rdynamic -lgomp -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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X70140210280350315.83289.14282.58265.42225.90199.43166.41160.13155.82134.45125.26111.39

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 5 2600Ryzen 5 2600XCore i5 10600KCore i9 10900KRyzen 5 3600XRyzen 7 3800XTRyzen 5 5600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X714212835SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 310.811.514.418.318.921.922.024.725.127.328.330.3

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X306090120150SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.43, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.42, N = 356.0261.8179.1085.5799.92112.90117.56119.07129.64130.30145.91155.811. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XCore i9 10900KRyzen 9 3950XRyzen 9 5950X20406080100SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.33, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 331.3734.6343.8248.1455.5660.1062.5063.2669.6369.9082.2486.941. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -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: efficientnet-b0Ryzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3950XRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X3691215SE +/- 0.36, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 311.7110.637.367.107.016.836.626.615.895.255.194.24MIN: 11.18 / MAX: 12.89MIN: 10.28 / MAX: 12.43MIN: 7.22 / MAX: 8.57MIN: 6.88 / MAX: 8.39MIN: 6.92 / MAX: 8.19MIN: 6.75 / MAX: 8.34MIN: 6.51 / MAX: 7.75MIN: 6.48 / MAX: 7.84MIN: 5.82 / MAX: 7.01MIN: 5.19 / MAX: 9.21MIN: 5.01 / MAX: 5.68MIN: 4.15 / MAX: 5.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTCore i5 10600KRyzen 5 5600XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X0.29030.58060.87091.16121.4515SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 30.4690.5040.7330.8230.8420.8760.9771.1331.1361.2361.2841.2901. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X816243240SE +/- 0.03, N = 3SE +/- 0.52, N = 3SE +/- 0.14, N = 3SE +/- 0.40, N = 3SE +/- 0.22, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 15SE +/- 0.09, N = 333.5130.3824.8124.8020.2419.0116.9916.2616.0314.7313.2512.24

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1122334455SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 348.6545.1335.4333.4529.8227.9724.7423.2222.7720.5819.5218.17

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 5600XRyzen 9 3900XCore i9 10900KRyzen 9 5900XRyzen 9 5950X1632486480SE +/- 0.83, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.58, N = 3SE +/- 0.41, N = 3SE +/- 0.15, N = 8SE +/- 0.13, N = 3SE +/- 0.17, N = 15SE +/- 0.08, N = 371.5766.4638.4736.9836.0232.4832.4631.6531.5529.4326.8826.80MIN: 69.74 / MAX: 86.54MIN: 66.03 / MAX: 79.02MIN: 38.12 / MAX: 51.85MIN: 35.45 / MAX: 47.52MIN: 35.38 / MAX: 46.54MIN: 31.9 / MAX: 45.8MIN: 31.11 / MAX: 44.49MIN: 30.81 / MAX: 42.27MIN: 30.42 / MAX: 44.63MIN: 29.01 / MAX: 39.64MIN: 25.86 / MAX: 39.31MIN: 26.49 / MAX: 39.31. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Ryzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600KRyzen 5 5600XCore i9 10900K3691215SE +/- 0.027, N = 3SE +/- 0.048, N = 3SE +/- 0.082, N = 3SE +/- 0.100, N = 3SE +/- 0.076, N = 8SE +/- 0.084, N = 3SE +/- 0.059, N = 3SE +/- 0.062, N = 15SE +/- 0.080, N = 3SE +/- 0.021, N = 3SE +/- 0.052, N = 3SE +/- 0.060, N = 311.52510.6478.1627.2357.2346.5626.4486.1116.0345.6514.9214.331MIN: 11.38 / MAX: 27.5MIN: 10.44 / MAX: 23.54MIN: 7.83 / MAX: 11.13MIN: 6.96 / MAX: 9.38MIN: 6.68 / MAX: 15.68MIN: 6.33 / MAX: 8.06MIN: 6.19 / MAX: 16.36MIN: 5.64 / MAX: 17.69MIN: 5.82 / MAX: 15.84MIN: 5.51 / MAX: 10.9MIN: 4.74 / MAX: 6.94MIN: 4.15 / MAX: 16.621. (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-v3-v3 - Model: mobilenet-v3Ryzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XCore i5 10600KRyzen 9 5950XCore i9 10900KRyzen 9 5900XRyzen 5 5600X246810SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, 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 +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.657.105.155.084.834.754.754.414.164.003.992.90MIN: 7.51 / MAX: 10.63MIN: 6.89 / MAX: 24.51MIN: 5.03 / MAX: 5.6MIN: 4.97 / MAX: 6.88MIN: 4.73 / MAX: 5.7MIN: 4.7 / MAX: 5.67MIN: 4.68 / MAX: 5.93MIN: 4.31 / MAX: 5.93MIN: 4.11 / MAX: 5.11MIN: 3.91 / MAX: 4.67MIN: 3.93 / MAX: 4.83MIN: 2.87 / MAX: 4.061. (CXX) g++ options: -O3 -rdynamic -lgomp -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: Windowed GaussianRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X48121620SE +/- 0.124, N = 3SE +/- 0.150, N = 3SE +/- 0.134, N = 3SE +/- 0.092, N = 3SE +/- 0.038, N = 3SE +/- 0.050, N = 3SE +/- 0.090, N = 3SE +/- 0.109, N = 3SE +/- 0.019, N = 3SE +/- 0.051, N = 3SE +/- 0.041, N = 3SE +/- 0.024, N = 317.54815.75314.12913.98212.3089.6258.6138.1878.0997.4957.2766.764

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 5 2600Ryzen 5 2600XRyzen 7 3800XTCore i5 10600KRyzen 5 3600XRyzen 9 3900XRyzen 5 5600XRyzen 9 3900XTRyzen 9 3950XCore i9 10900KRyzen 9 5900XRyzen 9 5950X110220330440550SE +/- 1.75, N = 3SE +/- 1.16, N = 3SE +/- 2.43, N = 3SE +/- 2.26, N = 3SE +/- 6.73, N = 3SE +/- 16.54, N = 3SE +/- 4.76, N = 3SE +/- 6.33, N = 3SE +/- 4.86, N = 3SE +/- 1.18, N = 3SE +/- 1.54, N = 3SE +/- 3.07, N = 3200.98201.06262.48265.78306.45310.86338.34371.29374.19390.00495.79521.051. (CC) gcc options: -lm

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Ryzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.34, N = 3SE +/- 0.32, N = 3SE +/- 0.63, N = 3SE +/- 0.02, N = 3SE +/- 0.39, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.44, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.27, N = 3135.74124.21106.41101.9788.1480.8871.8668.1867.3059.4058.6552.751. (CXX) g++ options: -O3 -fPIC

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 340.0836.4930.1529.5025.3124.0321.0320.5619.8418.7317.1915.58

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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X714212835SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 331.6829.3818.8318.7917.1217.0816.5016.4916.4112.8512.6512.36MIN: 28.97 / MAX: 33.4MIN: 27.24 / MAX: 87.03MIN: 18.42 / MAX: 19.87MIN: 18.56 / MAX: 29.54MIN: 16.58 / MAX: 50.65MIN: 16.45 / MAX: 18.57MIN: 16.21 / MAX: 16.8MIN: 16.16 / MAX: 16.99MIN: 16.34 / MAX: 17.53MIN: 12.75 / MAX: 14.82MIN: 12.38 / MAX: 13.1MIN: 12.07 / MAX: 31.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ryzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.28, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 381.8874.5163.9061.3453.5348.5242.7741.1140.4335.6835.2132.201. (CXX) g++ options: -O3 -fPIC

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 0.42, N = 3SE +/- 0.64, N = 3SE +/- 1.35, N = 3SE +/- 1.38, N = 3SE +/- 2.49, N = 3SE +/- 1.83, N = 3SE +/- 3.32, N = 3SE +/- 3.37, N = 3SE +/- 2.55, N = 5SE +/- 0.25, N = 3SE +/- 3.76, N = 3SE +/- 2.17, N = 1092.9999.99134.25149.99153.90154.53198.20202.63210.08217.13226.26234.141. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XCore i9 10900K2004006008001000SE +/- 0.46, N = 3SE +/- 0.77, N = 3SE +/- 1.71, N = 3SE +/- 1.57, N = 3SE +/- 0.25, N = 3SE +/- 0.99, N = 3SE +/- 0.26, N = 3SE +/- 1.67, N = 3SE +/- 1.50, N = 3SE +/- 0.38, N = 3SE +/- 2.14, N = 3SE +/- 1.31, N = 3316.11335.74438.49514.32545.09550.52585.47586.78619.21661.39688.70785.87MIN: 240.35 / MAX: 513.8MIN: 254.48 / MAX: 557.97MIN: 334.01 / MAX: 673.67MIN: 394.76 / MAX: 717.47MIN: 401.83 / MAX: 840.98MIN: 404.15 / MAX: 850.71MIN: 461.07 / MAX: 715.8MIN: 461.53 / MAX: 717.45MIN: 475.8 / MAX: 778.14MIN: 505.19 / MAX: 829.84MIN: 524.41 / MAX: 874.26MIN: 607.56 / MAX: 1067.021. (CC) gcc options: -pthread

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Ryzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 9 5900XCore i9 10900KRyzen 5 5600X246810SE +/- 0.012, N = 3SE +/- 0.026, N = 3SE +/- 0.010, N = 3SE +/- 0.022, N = 3SE +/- 0.026, N = 8SE +/- 0.049, N = 3SE +/- 0.012, N = 3SE +/- 0.015, N = 3SE +/- 0.053, N = 3SE +/- 0.016, N = 15SE +/- 0.013, N = 3SE +/- 0.017, N = 36.6066.1295.7164.0223.9883.9603.8493.4013.3753.0582.8232.691MIN: 6.48 / MAX: 21.66MIN: 6.04 / MAX: 8.3MIN: 5.49 / MAX: 6.8MIN: 3.91 / MAX: 6.2MIN: 3.78 / MAX: 15.56MIN: 3.84 / MAX: 5.18MIN: 3.7 / MAX: 14.25MIN: 3.33 / MAX: 5.99MIN: 3.24 / MAX: 13.21MIN: 2.86 / MAX: 15.6MIN: 2.75 / MAX: 4.11MIN: 2.63 / MAX: 4.151. (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

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 391.4184.4766.2664.4155.9654.1447.7946.7946.2742.3740.1237.37

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 5 2600Core i5 10600KRyzen 5 2600XRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X50K100K150K200K250KSE +/- 1326.69, N = 3SE +/- 40.25, N = 3SE +/- 297.43, N = 3SE +/- 192.72, N = 3SE +/- 95.69, N = 3SE +/- 928.82, N = 3SE +/- 273.40, N = 3SE +/- 186.00, N = 3SE +/- 739.92, N = 3SE +/- 519.62, N = 3SE +/- 197.01, N = 3SE +/- 317.75, N = 3248092236704222099213644180417156768147694140368139014122229117199106372

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 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i5 10600KRyzen 5 3600XRyzen 7 3800XTRyzen 9 5950XRyzen 9 5900XCore i9 10900KRyzen 5 5600X1326395265SE +/- 0.25, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 8SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 15SE +/- 0.26, N = 3SE +/- 0.43, N = 358.1552.9742.1333.4733.0732.4830.2629.5328.3827.0625.3125.04MIN: 56.86 / MAX: 79.06MIN: 51.97 / MAX: 66.22MIN: 39.26 / MAX: 53.15MIN: 32.67 / MAX: 45.9MIN: 31.66 / MAX: 46.35MIN: 32.23 / MAX: 45.55MIN: 29.77 / MAX: 40.96MIN: 29.08 / MAX: 40.82MIN: 27.72 / MAX: 40.81MIN: 26.09 / MAX: 38.76MIN: 24.65 / MAX: 37.66MIN: 24.34 / MAX: 37.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 7 3800XTRyzen 5 5600XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.44, N = 3SE +/- 0.66, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.61, N = 3SE +/- 0.17, N = 3SE +/- 0.62, N = 399.86105.81143.26145.19171.17173.18183.54197.62197.64201.96228.06231.45MIN: 89.89 / MAX: 105.63MIN: 92.09 / MAX: 111.8MIN: 134.31 / MAX: 160.76MIN: 138.55 / MAX: 159.76MIN: 153.68 / MAX: 184.63MIN: 163.49 / MAX: 194.95MIN: 147.87 / MAX: 191.59MIN: 158.2 / MAX: 208.72MIN: 160.44 / MAX: 207.45MIN: 138.19 / MAX: 209.94MIN: 183.97 / MAX: 245.09MIN: 167.76 / MAX: 241.461. (CC) gcc options: -pthread

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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 5 5600XRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 9 5950XCore i9 10900KRyzen 9 5900X14002800420056007000SE +/- 76.42, N = 4SE +/- 86.81, N = 3SE +/- 23.88, N = 3SE +/- 25.86, N = 3SE +/- 45.31, N = 4SE +/- 22.93, N = 4SE +/- 18.51, N = 4SE +/- 43.45, N = 4SE +/- 36.22, N = 4SE +/- 28.48, N = 4SE +/- 20.13, N = 4635759784395397736633531346033893348292528842836

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRyzen 5 2600Core i5 10600KRyzen 5 2600XRyzen 5 3600XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1122334455SE +/- 0.12, N = 3SE +/- 0.64, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.34, N = 15SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 349.3744.9444.8136.3433.1432.7231.0428.1326.8625.6622.7722.20

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 7 3800XTRyzen 5 5600XRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 1.64, N = 3SE +/- 1.24, N = 3SE +/- 0.68, N = 3SE +/- 1.10, N = 3SE +/- 0.45, N = 3SE +/- 0.28, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.56, N = 3SE +/- 0.08, N = 3SE +/- 0.90, N = 3154.76141.02131.40127.40118.74106.4088.5986.7982.9877.7872.5669.811. (CXX) g++ options: -O2 -lOpenCL

Nebular Empirical Analysis Tool

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Ryzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 322.7520.8819.6818.0515.1714.9714.2313.4813.2312.2411.0210.361. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i9 10900KCore i5 10600KRyzen 9 5900XRyzen 9 5950XRyzen 5 5600X60120180240300SE +/- 0.93, N = 3SE +/- 0.24, N = 3SE +/- 1.74, N = 3SE +/- 1.09, N = 3SE +/- 0.54, N = 3SE +/- 1.11, N = 3SE +/- 1.15, N = 3SE +/- 2.90, N = 3SE +/- 1.09, N = 3SE +/- 1.11, N = 3SE +/- 0.35, N = 3SE +/- 0.63, N = 3281.74264.87197.37196.12195.78194.85183.72176.74174.72155.88149.62129.38

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KRyzen 9 3950XRyzen 9 3900XCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X612182430SE +/- 0.14, N = 3SE +/- 0.35, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 326.9025.3817.8816.3916.2916.1715.9715.9514.0413.3012.9512.37MIN: 25.24 / MAX: 30.17MIN: 23.56 / MAX: 136.33MIN: 17.74 / MAX: 19.69MIN: 15.95 / MAX: 85.44MIN: 15.98 / MAX: 18.5MIN: 15.98 / MAX: 27.23MIN: 15.54 / MAX: 16.76MIN: 15.58 / MAX: 16.48MIN: 13.85 / MAX: 15.37MIN: 12.97 / MAX: 13.74MIN: 12.49 / MAX: 14.61MIN: 12.21 / MAX: 26.561. (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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XCore i9 10900KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1224364860SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 326.2828.6836.9439.0241.5041.7643.1943.5944.5749.1253.4254.991. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X1020304050SE +/- 0.40, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 342.5139.3429.7929.0828.9028.6828.0327.7925.0022.6321.8120.39MIN: 38.92 / MAX: 51.84MIN: 36.42 / MAX: 50.8MIN: 29.39 / MAX: 54.87MIN: 28.81 / MAX: 29.7MIN: 28.52 / MAX: 83.18MIN: 28.4 / MAX: 37.04MIN: 27.86 / MAX: 28.69MIN: 27.7 / MAX: 29.86MIN: 24.78 / MAX: 25.84MIN: 22.14 / MAX: 23.14MIN: 21.37 / MAX: 22.7MIN: 20.15 / MAX: 21.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Ryzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5950XRyzen 9 5900X1020304050SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 321.622.127.030.332.333.537.238.738.939.544.244.61. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Core i9 10900KRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X13002600390052006500SE +/- 3.56, N = 3SE +/- 5.74, N = 3SE +/- 20.88, N = 3SE +/- 10.49, N = 3SE +/- 11.36, N = 3SE +/- 16.97, N = 3SE +/- 9.17, N = 3SE +/- 11.08, N = 3SE +/- 5.02, N = 3SE +/- 17.79, N = 3SE +/- 1.96, N = 3SE +/- 6.00, N = 32922.33204.63309.93633.44059.14265.94483.54499.84561.34896.15879.86000.41. (CC) gcc options: -O3 -pthread -lz -llzma

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeRyzen 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 5 3600XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X1224364860SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.29, N = 3SE +/- 0.59, N = 3SE +/- 0.49, N = 325.9929.8138.0338.2038.3238.5938.9045.8149.0451.5352.9453.191. (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: googlenetRyzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 7 3800XTCore i5 10600KRyzen 9 5950XCore i9 10900KRyzen 9 5900XRyzen 5 5600X612182430SE +/- 0.43, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 2SE +/- 0.01, N = 323.0921.2119.2417.3817.3117.0316.0514.9213.4313.2812.6811.39MIN: 22.46 / MAX: 50.46MIN: 20.85 / MAX: 39.97MIN: 18.5 / MAX: 19.94MIN: 16.96 / MAX: 17.94MIN: 16.92 / MAX: 19.54MIN: 16.81 / MAX: 18.21MIN: 15.94 / MAX: 25.37MIN: 14.77 / MAX: 16.85MIN: 13.03 / MAX: 14.09MIN: 12.98 / MAX: 14.24MIN: 12.51 / MAX: 13.3MIN: 11.27 / MAX: 12.521. (CXX) g++ options: -O3 -rdynamic -lgomp -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 4 Two-PassRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 9 3900XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.76051.5212.28153.0423.8025SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 31.701.852.562.612.682.712.712.722.923.203.363.381. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPURyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 35.665.986.486.596.927.037.147.227.3810.3611.0811.24

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPURyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 36.356.827.888.949.219.7910.2710.5910.6111.1512.4312.61

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3950XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 5950XRyzen 5 5600XRyzen 9 5900XCore i9 10900K1122334455SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.38, N = 3SE +/- 0.05, N = 347.0443.7731.6029.9129.2028.4727.8227.6625.4824.7824.2924.28MIN: 46.55 / MAX: 79.05MIN: 43.19 / MAX: 66.44MIN: 31.38 / MAX: 32.98MIN: 29.44 / MAX: 31.38MIN: 28.94 / MAX: 30.06MIN: 28.22 / MAX: 30.66MIN: 27.35 / MAX: 28.71MIN: 27.41 / MAX: 33.56MIN: 24.9 / MAX: 41.04MIN: 24.6 / MAX: 36.85MIN: 23.69 / MAX: 27.95MIN: 23.97 / MAX: 25.621. (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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 5900XRyzen 9 3950XRyzen 9 5950X918273645SE +/- 0.19, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 337.5634.8830.4829.8026.6325.8824.1123.8323.5821.2521.2319.47-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=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XCore i5 10600KRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X1.18352.3673.55054.7345.9175SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.742.983.974.164.174.184.184.204.655.065.245.261. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Timed GDB GNU Debugger Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XCore i9 10900KRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.31, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3157.41137.80110.03109.6499.3199.0694.9394.0390.5587.4383.5882.47

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 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X816243240SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.36, N = 3SE +/- 0.15, N = 317.3419.3025.3725.6425.8325.9926.9928.6630.3430.8131.1232.831. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XCore i5 10600KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XCore i9 10900K612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 313.5814.8419.2619.4719.4719.6419.8221.7024.5325.3025.4525.671. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPURyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 312.5713.2314.4814.7615.6516.3816.4016.8517.0620.3423.2023.64

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X0.0360.0720.1080.1440.18SE +/- 0.00040584, N = 3SE +/- 0.00034204, N = 3SE +/- 0.00138595, N = 3SE +/- 0.00093524, N = 3SE +/- 0.00086563, N = 3SE +/- 0.00118276, N = 3SE +/- 0.00131011, N = 15SE +/- 0.00016538, N = 3SE +/- 0.00032095, N = 3SE +/- 0.00010732, N = 3SE +/- 0.00107634, N = 3SE +/- 0.00117965, N = 150.159787460.148295770.116432470.113382120.110959950.110595130.110188770.100639760.097657810.089303340.086593970.08573340

Radiance Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialRyzen 5 2600Ryzen 5 2600XCore i5 10600KCore i9 10900KRyzen 5 3600XRyzen 9 3900XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000788.88737.38611.64588.16549.02546.89529.70526.46522.74437.95430.24426.53

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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XCore i9 10900KRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.028, N = 3SE +/- 0.034, N = 3SE +/- 0.015, N = 3SE +/- 0.002, N = 3SE +/- 0.025, N = 3SE +/- 0.081, N = 3SE +/- 0.105, N = 3SE +/- 0.033, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.008, N = 3SE +/- 0.009, N = 39.7038.9547.6207.5956.7976.7606.7156.3716.3656.1415.4265.2521. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRyzen 5 2600Ryzen 5 2600XRyzen 9 3900XCore i5 10600KRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i9 10900KRyzen 9 5950XRyzen 5 5600XRyzen 9 5900X120240360480600SE +/- 0.13, N = 3SE +/- 0.51, N = 3SE +/- 3.07, N = 3SE +/- 0.84, N = 3SE +/- 1.99, N = 3SE +/- 2.57, N = 3SE +/- 1.51, N = 3SE +/- 2.64, N = 3SE +/- 2.16, N = 3SE +/- 6.57, N = 3SE +/- 0.60, N = 3SE +/- 2.53, N = 3299.09318.91409.49413.80415.99422.17425.55432.12451.53542.76543.12550.69

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3950XCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X12002400360048006000SE +/- 38.39, N = 4SE +/- 26.26, N = 4SE +/- 17.11, N = 4SE +/- 11.74, N = 4SE +/- 27.52, N = 4SE +/- 23.65, N = 4SE +/- 15.68, N = 4SE +/- 26.51, N = 4SE +/- 25.71, N = 4SE +/- 33.87, N = 4SE +/- 20.69, N = 4SE +/- 27.26, N = 4562652324215399039653963394636763319331330683066

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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XCore i9 10900KRyzen 9 5900XRyzen 9 5950X714212835SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 331.4628.5322.7321.4821.2020.9220.6720.2119.2818.0417.2917.19

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 5 2600Ryzen 5 2600XCore i5 10600KCore i9 10900KRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X50100150200250243.89233.40192.56183.25172.48171.79170.08169.17167.36135.23134.28133.29

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 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X140280420560700SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3627582428427417413406373353352344344

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XTRyzen 9 3900XCore i5 10600KCore i9 10900KRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.042, N = 3SE +/- 0.030, N = 3SE +/- 0.050, N = 3SE +/- 0.029, N = 3SE +/- 0.048, N = 3SE +/- 0.017, N = 3SE +/- 0.020, N = 3SE +/- 0.081, N = 3SE +/- 0.041, N = 3SE +/- 0.063, N = 3SE +/- 0.029, N = 3SE +/- 0.044, N = 313.23912.58611.42411.0188.9738.9078.7508.7028.5918.5157.3657.3501. (CC) gcc options: -std=c99 -O3 -lm -lpthread

SciMark

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

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 9 3950XCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 2.37, N = 3SE +/- 0.98, N = 3SE +/- 3.31, N = 3SE +/- 11.67, N = 3SE +/- 7.80, N = 3SE +/- 0.30, N = 3SE +/- 10.13, N = 3SE +/- 6.32, N = 3SE +/- 7.35, N = 3SE +/- 0.93, N = 3SE +/- 1.55, N = 3SE +/- 3.00, N = 3494.99528.11716.75717.42732.75741.22743.57751.35829.30830.95871.93885.601. (CC) gcc options: -lm

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XCore i5 10600KCore i9 10900KRyzen 7 3800XTRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 35.435.897.697.737.807.837.888.088.089.509.519.681. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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 2600Ryzen 5 2600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 5 3600XCore i5 10600KRyzen 7 3800XTCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X20406080100SE +/- 0.69, N = 3SE +/- 0.47, N = 3SE +/- 0.05, N = 3SE +/- 0.39, N = 3SE +/- 0.08, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 397.1387.2772.7470.2469.9469.2568.8366.9163.6361.5856.9954.53-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-mmpx-msse4a -msha-mmpx-msse4a -msha-msse4a -msha-mmpx1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X1632486480SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.26, N = 3SE +/- 0.47, N = 3SE +/- 0.09, N = 3SE +/- 0.34, N = 3SE +/- 0.68, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.71, N = 373.9369.1157.3056.7755.7855.0753.9849.0546.5643.0642.6841.541. (CC) gcc options: -O2 -ldl -lz -lpthread

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 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 9 3950XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XTCore i5 10600KCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X714212835SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 331.7028.4924.2123.9223.8823.7823.7820.8619.8618.5518.3217.841. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X306090120150SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.24, N = 3156.0142.0105.0103.0102.0101.0100.098.793.090.189.088.7

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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XCore i9 10900KRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.154, N = 3SE +/- 0.130, N = 3SE +/- 0.080, N = 3SE +/- 0.124, N = 3SE +/- 0.088, N = 3SE +/- 0.030, N = 3SE +/- 0.053, N = 3SE +/- 0.053, N = 3SE +/- 0.037, N = 3SE +/- 0.050, N = 3SE +/- 0.064, N = 3SE +/- 0.085, N = 310.8649.6688.2367.9267.6737.4917.3817.2896.8276.8046.3446.298

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 5 2600Ryzen 5 2600XRyzen 9 3900XTRyzen 5 3600XCore i5 10600KRyzen 9 3950XRyzen 9 3900XRyzen 7 3800XTCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60120180240300SE +/- 0.11, N = 3SE +/- 0.32, N = 3SE +/- 0.03, N = 3SE +/- 0.23, N = 3SE +/- 0.15, N = 3SE +/- 3.33, N = 4SE +/- 0.79, N = 3SE +/- 2.30, N = 3SE +/- 0.36, N = 3SE +/- 0.53, N = 3SE +/- 0.76, N = 3SE +/- 0.44, N = 3164.17176.66221.00221.22223.57225.71229.31232.69237.26276.46281.15281.53-lm-lm1. (CC) gcc options: -O3 -rdynamic

Crafty

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

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeRyzen 5 2600Ryzen 5 2600XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XTRyzen 9 3950XCore i5 10600KRyzen 9 3900XCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2M4M6M8M10MSE +/- 19360.82, N = 3SE +/- 91197.02, N = 5SE +/- 24969.38, N = 3SE +/- 45342.43, N = 3SE +/- 124855.19, N = 3SE +/- 28955.96, N = 3SE +/- 7610.57, N = 3SE +/- 33192.92, N = 3SE +/- 18480.02, N = 3SE +/- 12610.07, N = 3SE +/- 9488.88, N = 3SE +/- 46067.71, N = 367184037221279880528789120189071528919540391961549268070100874181119196211404838115195671. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumRyzen 5 3600XCore i5 10600KRyzen 5 5600XRyzen 7 3800XTRyzen 5 2600Ryzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 5 2600XRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 39.609.458.097.987.097.077.046.806.446.276.015.601. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 325.1923.2918.9718.5618.5118.3818.0617.0515.8214.9714.8114.751. chrome 86.0.4240.75

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 5 5600XRyzen 9 3900XTCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1428425670SE +/- 0.33, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.64, N = 3SE +/- 0.38, N = 3SE +/- 0.38, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 362.7357.8152.4151.3545.8344.3543.6643.5543.3042.2637.4036.781. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Selenium

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

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XCore i9 10900KRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 0.30, N = 3SE +/- 0.13, N = 3SE +/- 0.33, N = 3SE +/- 0.25, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.56, N = 3SE +/- 0.68, N = 3SE +/- 0.28, N = 3SE +/- 0.25, N = 3SE +/- 0.58, N = 3SE +/- 0.32, N = 397.95106.00135.00136.50138.00140.20141.80142.40143.20163.20167.00167.001. chrome 86.0.4240.75

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeRyzen 5 2600Ryzen 5 2600XCore i9 10900KRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTCore i5 10600KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X1020304050SE +/- 0.30, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.26, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 326.2829.0035.2035.3336.2036.3036.4036.5036.8043.4544.4044.801. chrome 86.0.4240.75

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 9 3950XRyzen 7 3800XTCore i9 10900KRyzen 9 5900XRyzen 5 5600XRyzen 9 5950X4K8K12K16K20KSE +/- 45.17, N = 3SE +/- 63.16, N = 3SE +/- 25.69, N = 3SE +/- 104.27, N = 3SE +/- 155.45, N = 8SE +/- 15.81, N = 3SE +/- 67.33, N = 3SE +/- 32.40, N = 3SE +/- 15.99, N = 3SE +/- 46.12, N = 3SE +/- 185.84, N = 3SE +/- 274.41, N = 311869.613100.015263.715451.015572.815846.115875.816160.117624.820018.520100.720223.01. (CC) gcc options: -O3

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateRyzen 5 2600Ryzen 5 2600XRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XRyzen 7 3800XTRyzen 9 3950XCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X2004006008001000SE +/- 1.00, N = 3SE +/- 2.65, N = 3SE +/- 9.68, N = 3SE +/- 0.88, N = 3SE +/- 12.84, N = 3SE +/- 3.51, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 6.01, N = 3SE +/- 8.11, N = 36236577267547667947998629451035104210561. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Polyhedron Fortran Benchmarks

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 9 3900XRyzen 5 3600XRyzen 9 3900XTRyzen 9 3950XCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4812162015.6114.5112.3512.2312.1412.1212.0311.6411.549.409.289.22

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Ryzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 9 3900XTRyzen 5 5600XRyzen 9 3950XRyzen 9 5950XRyzen 9 5900XCore i9 10900K60120180240300SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 2.56, N = 5SE +/- 0.33, N = 3SE +/- 2.19, N = 3SE +/- 0.33, N = 3SE +/- 1.33, N = 32792532332112112072052031991801791661. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X510152025SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 321.319.916.115.815.615.415.215.214.313.212.712.7

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 9 3900XRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.058, N = 22SE +/- 0.052, N = 22SE +/- 0.062, N = 22SE +/- 0.040, N = 25SE +/- 0.051, N = 22SE +/- 0.046, N = 25SE +/- 0.053, N = 25SE +/- 0.062, N = 23SE +/- 0.050, N = 20SE +/- 0.063, N = 22SE +/- 0.044, N = 25SE +/- 0.047, N = 238.5427.8796.5686.5066.4816.4126.3556.2896.2075.2655.1425.1261. LibreOffice 7.0.1.2 00(Build:2)

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XCore i9 10900KRyzen 9 5950X306090120150SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.37, N = 3SE +/- 0.29, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 380.0986.4897.93102.72105.06110.59110.90113.75117.34128.47131.94133.14MIN: 53.02 / MAX: 189.9MIN: 57.16 / MAX: 200.8MIN: 63.93 / MAX: 233.22MIN: 66.79 / MAX: 241.72MIN: 69.5 / MAX: 241.03MIN: 74.04 / MAX: 240.86MIN: 74.1 / MAX: 238.95MIN: 77.63 / MAX: 233.82MIN: 77.76 / MAX: 285.64MIN: 88.05 / MAX: 273.02MIN: 84.38 / MAX: 304.84MIN: 92.76 / MAX: 272.061. (CC) gcc options: -pthread

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATRyzen 5 2600Ryzen 5 2600XRyzen 9 3900XTRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 7 3800XTCore i5 10600KRyzen 5 5600XCore i9 10900KRyzen 9 5900XRyzen 9 5950X110M220M330M440M550MSE +/- 209117.75, N = 3SE +/- 776522.58, N = 3SE +/- 3810394.29, N = 3SE +/- 140508.36, N = 3SE +/- 425188.38, N = 3SE +/- 265333.27, N = 3SE +/- 821909.63, N = 3SE +/- 345078.13, N = 3SE +/- 648578.86, N = 3SE +/- 667086.01, N = 3SE +/- 1730487.00, N = 3SE +/- 6320318.74, N = 3322438360.17344830613.40385672695.95390856008.08401445819.03406108737.68406360022.76481073602.70509667296.91511718743.40517301573.26535283139.781. (CC) gcc options: -O3 -march=native -lm

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRyzen 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X4080120160200SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3204189158158153153150140134126123123

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X4080120160200SE +/- 0.33, N = 3SE +/- 0.44, N = 3SE +/- 0.55, N = 3SE +/- 0.54, N = 3SE +/- 0.12, N = 3SE +/- 0.80, N = 3SE +/- 1.02, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 0.47, N = 3SE +/- 0.77, N = 3SE +/- 0.57, N = 3114.18125.80148.98151.42152.15152.93153.24155.62163.68185.20187.72188.921. chrome 86.0.4240.75

Montage Astronomical Image Mosaic Engine

Montage is an open-source astronomical image mosaic engine. This BSD-licensed astronomy software is developed by the California Institute of Technology, Pasadena. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X20406080100SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.30, N = 3SE +/- 0.79, N = 3SE +/- 0.11, N = 3SE +/- 0.34, N = 3SE +/- 0.50, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.53, N = 394.1288.0172.0971.6270.2869.7069.1968.8966.3758.1457.7257.361. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XCore i9 10900KRyzen 9 3900XRyzen 7 3800XTRyzen 9 3950XRyzen 9 3900XTRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 1.07, N = 3SE +/- 0.83, N = 3SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.87, N = 3SE +/- 0.37, N = 3SE +/- 1.07, N = 3SE +/- 0.88, N = 15SE +/- 1.56, N = 12SE +/- 0.77, N = 6104.3199.3191.9087.0983.8981.1080.9479.9379.7670.5666.7463.861. (CXX) g++ options: -O2 -lOpenCL

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XCore i9 10900KRyzen 9 3900XTRyzen 5 5600XRyzen 9 3950XRyzen 9 5950XRyzen 9 5900X20406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 374.6568.6163.4160.9357.8454.3453.6753.5153.2952.3946.3445.851. RawTherapee, version 5.8, command line.

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 5 2600Ryzen 5 2600XCore i9 10900KCore i5 10600KRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTRyzen 5 3600XRyzen 9 3900XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X3K6K9K12K15KSE +/- 7.55, N = 3SE +/- 27.57, N = 3SE +/- 18.50, N = 3SE +/- 9.56, N = 3SE +/- 32.32, N = 3SE +/- 23.94, N = 3SE +/- 21.12, N = 3SE +/- 13.28, N = 3SE +/- 27.76, N = 3SE +/- 40.83, N = 3SE +/- 62.90, N = 3SE +/- 62.37, N = 39570.99986.410815.810868.211473.911474.911505.511552.011595.214032.514645.415561.01. (CXX) g++ options: -rdynamic

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 5 2600Ryzen 5 2600XCore i5 10600KCore i9 10900KRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X2004006008001000SE +/- 4.02, N = 3SE +/- 3.45, N = 3SE +/- 4.28, N = 3SE +/- 3.99, N = 3SE +/- 1.07, N = 3SE +/- 6.66, N = 3SE +/- 3.42, N = 3SE +/- 2.40, N = 3SE +/- 2.82, N = 3SE +/- 0.93, N = 3SE +/- 3.47, N = 3SE +/- 4.52, N = 3953.1878.4757.0754.9721.3715.3705.8700.5686.9606.8590.1589.91. 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 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 9 5950XRyzen 9 5900X3691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 310.308.718.128.108.017.537.217.196.936.746.426.38

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 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 5 3600XRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 9.53, N = 3SE +/- 2.96, N = 3SE +/- 14.81, N = 3SE +/- 1.86, N = 3SE +/- 11.59, N = 3SE +/- 5.81, N = 3SE +/- 3.48, N = 3SE +/- 1.67, N = 3SE +/- 1.15, N = 3SE +/- 6.36, N = 3SE +/- 4.04, N = 311591062888888876871866820773739730718

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 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X9001800270036004500SE +/- 40.19, N = 9SE +/- 38.38, N = 4SE +/- 36.35, N = 4SE +/- 39.66, N = 4SE +/- 37.27, N = 4SE +/- 25.42, N = 20SE +/- 43.74, N = 20SE +/- 51.94, N = 20SE +/- 12.57, N = 4SE +/- 29.79, N = 4SE +/- 29.31, N = 4406135593255313030903050290827782747271226562519

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 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 7 3800XTCore i5 10600KRyzen 9 5900XRyzen 9 5950XCore i9 10900KRyzen 5 5600X714212835SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 329.1426.8223.0723.0022.7422.6221.7520.3519.3819.3519.1718.11

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.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxRyzen 5 2600Core i5 10600KRyzen 5 2600XCore i9 10900KRyzen 9 3900XRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X100200300400500SE +/- 2.09, N = 3SE +/- 0.19, N = 3SE +/- 4.23, N = 3SE +/- 3.03, N = 3SE +/- 5.47, N = 3SE +/- 1.70, N = 3SE +/- 0.71, N = 3SE +/- 2.91, N = 3SE +/- 1.95, N = 3SE +/- 0.37, N = 3SE +/- 4.25, N = 3SE +/- 4.99, N = 3468.8450.8438.5419.1369.6367.7362.2360.7347.7306.9297.7291.41. firefox 81.0

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessRyzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 5 3600XCore i5 10600KRyzen 9 3900XCore i9 10900KRyzen 7 3800XTRyzen 9 3900XTRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X510152025SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 320.2318.7615.6415.6215.4515.2615.0815.0414.8613.2612.7612.631. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LAME MP3 Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 9 3900XRyzen 5 3600XCore i9 10900KRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.008, N = 3SE +/- 0.040, N = 3SE +/- 0.017, N = 3SE +/- 0.110, N = 3SE +/- 0.031, N = 3SE +/- 0.004, N = 3SE +/- 0.097, N = 3SE +/- 0.054, N = 3SE +/- 0.076, N = 3SE +/- 0.003, N = 3SE +/- 0.027, N = 3SE +/- 0.014, N = 38.8128.2137.3977.0817.0676.9666.9646.8946.6585.7375.6215.5621. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -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 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 5 3600XRyzen 7 3800XTCore i5 10600KRyzen 9 5950XRyzen 9 5900XCore i9 10900KRyzen 5 5600X30K60K90K120K150KSE +/- 104.94, N = 3SE +/- 105.66, N = 3SE +/- 97.95, N = 3SE +/- 46.94, N = 3SE +/- 37.78, N = 3SE +/- 328.34, N = 3SE +/- 989.81, N = 8SE +/- 179.78, N = 3SE +/- 473.56, N = 3SE +/- 478.94, N = 3SE +/- 271.18, N = 3SE +/- 89.09, N = 3117470108344107356105803105617975879612989584809247834775313742541. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XCore i5 10600KRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X816243240SE +/- 0.27, N = 4SE +/- 0.12, N = 4SE +/- 0.06, N = 4SE +/- 0.14, N = 4SE +/- 0.12, N = 4SE +/- 0.38, N = 4SE +/- 0.11, N = 4SE +/- 0.11, N = 4SE +/- 0.14, N = 4SE +/- 0.08, N = 4SE +/- 0.06, N = 4SE +/- 0.09, N = 433.3830.8327.4826.8126.7726.7126.6826.0825.3021.6521.4621.321. (CC) gcc options: -O2 -std=c99

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ryzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i9 10900KRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.019, N = 3SE +/- 0.017, N = 3SE +/- 0.014, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.017, N = 3SE +/- 0.026, N = 3SE +/- 0.008, N = 3SE +/- 0.013, N = 3SE +/- 0.054, N = 3SE +/- 0.012, N = 3SE +/- 0.024, N = 36.6436.1535.4345.3224.8644.7334.6164.5864.5384.4534.2644.2581. (CXX) g++ options: -O3 -fPIC

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.005, N = 3SE +/- 0.011, N = 3SE +/- 0.025, N = 3SE +/- 0.067, N = 3SE +/- 0.087, N = 5SE +/- 0.078, N = 3SE +/- 0.056, N = 3SE +/- 0.005, N = 3SE +/- 0.015, N = 3SE +/- 0.002, N = 3SE +/- 0.033, N = 3SE +/- 0.019, N = 38.2907.7536.9166.8046.7486.5676.5556.3876.0245.4545.3405.3341. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Perl Benchmarks

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterRyzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XCore i5 10600KCore i9 10900KRyzen 7 3800XTRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.00020.00040.00060.00080.001SE +/- 0.00000511, N = 3SE +/- 0.00000413, N = 3SE +/- 0.00000624, N = 13SE +/- 0.00000610, N = 15SE +/- 0.00000316, N = 3SE +/- 0.00000757, N = 3SE +/- 0.00000106, N = 3SE +/- 0.00000313, N = 3SE +/- 0.00001084, N = 3SE +/- 0.00000439, N = 3SE +/- 0.00000408, N = 3SE +/- 0.00001012, N = 30.001008300.000884590.000768620.000753640.000749990.000735480.000732810.000702280.000699960.000686380.000650210.00064973

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 2600Ryzen 5 2600XRyzen 9 3950XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 9 5950XCore i9 10900KRyzen 9 5900XRyzen 5 5600X510152025SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 219.6618.4017.9117.5716.9216.7016.4814.8914.6213.5613.3212.71MIN: 19.19 / MAX: 72.97MIN: 18.12 / MAX: 32.57MIN: 17.65 / MAX: 28.08MIN: 17.45 / MAX: 19.63MIN: 16.79 / MAX: 26.29MIN: 16.36 / MAX: 72.05MIN: 16.31 / MAX: 28.36MIN: 14.8 / MAX: 16.25MIN: 14.51 / MAX: 15.37MIN: 13.34 / MAX: 23.75MIN: 13.09 / MAX: 14.66MIN: 12.62 / MAX: 13.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

DeepSpeech

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 9 3900XTRyzen 9 3900XCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 5950XRyzen 9 5900XRyzen 5 3600XRyzen 5 5600X20406080100SE +/- 1.00, N = 3SE +/- 0.34, N = 3SE +/- 0.46, N = 3SE +/- 0.37, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 3SE +/- 0.51, N = 3SE +/- 0.26, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 378.0276.0969.0665.5865.3764.0763.2361.2459.6558.4057.7050.50

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 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X48121620SE +/- 0.008, N = 3SE +/- 0.026, N = 3SE +/- 0.018, N = 3SE +/- 0.019, N = 3SE +/- 0.031, N = 3SE +/- 0.007, N = 3SE +/- 0.011, N = 3SE +/- 0.093, N = 15SE +/- 0.014, N = 3SE +/- 0.026, N = 3SE +/- 0.007, N = 3SE +/- 0.023, N = 314.81213.45312.25011.91611.87611.59011.23911.20310.44210.3149.9159.593

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateRyzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTCore i9 10900KRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X48121620SE +/- 0.047, N = 3SE +/- 0.006, N = 3SE +/- 0.069, N = 3SE +/- 0.004, N = 3SE +/- 0.015, N = 3SE +/- 0.076, N = 3SE +/- 0.009, N = 3SE +/- 0.026, N = 3SE +/- 0.022, N = 3SE +/- 0.033, N = 3SE +/- 0.036, N = 3SE +/- 0.007, N = 314.22012.83811.26511.14511.13011.11610.81810.81110.4049.4319.3209.224

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 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 7 3800XTRyzen 9 3950XCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.023, N = 5SE +/- 0.019, N = 5SE +/- 0.031, N = 5SE +/- 0.045, N = 5SE +/- 0.020, N = 5SE +/- 0.057, N = 5SE +/- 0.045, N = 5SE +/- 0.031, N = 5SE +/- 0.012, N = 5SE +/- 0.031, N = 5SE +/- 0.045, N = 5SE +/- 0.034, N = 57.9277.5206.7556.5956.5736.4846.4696.1905.8975.2065.1935.180

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 5 2600Ryzen 5 2600XRyzen 5 3600XCore i5 10600KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.007, N = 5SE +/- 0.016, N = 5SE +/- 0.016, N = 5SE +/- 0.017, N = 5SE +/- 0.039, N = 5SE +/- 0.034, N = 5SE +/- 0.026, N = 5SE +/- 0.028, N = 5SE +/- 0.014, N = 5SE +/- 0.002, N = 5SE +/- 0.033, N = 5SE +/- 0.038, N = 59.7489.1247.6957.5877.5797.5387.4557.3407.1736.5986.4406.3731. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Ryzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XCore i5 10600KRyzen 7 3800XTRyzen 9 3900XTCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.58971.17941.76912.35882.9485SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.003, N = 3SE +/- 0.023, N = 3SE +/- 0.029, N = 3SE +/- 0.002, N = 3SE +/- 0.016, N = 3SE +/- 0.015, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.009, N = 3SE +/- 0.015, N = 32.6212.4422.1892.1752.1612.1152.0992.0882.0091.8211.7431.7291. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XRyzen 9 3900XTRyzen 5 3600XRyzen 7 3800XTCore i5 10600KRyzen 9 5950XRyzen 9 5900XCore i9 10900KRyzen 5 5600X60K120K180K240K300KSE +/- 384.97, N = 3SE +/- 584.46, N = 3SE +/- 702.33, N = 3SE +/- 477.83, N = 3SE +/- 462.71, N = 3SE +/- 1054.43, N = 3SE +/- 142.32, N = 3SE +/- 166.99, N = 3SE +/- 392.51, N = 3SE +/- 437.17, N = 3SE +/- 174.69, N = 3SE +/- 166.56, N = 32936832691132651312627382589722379082344402316832142392006761960741937361. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 5 5600XRyzen 7 3800XTRyzen 9 3900XCore i9 10900KRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.014, N = 3SE +/- 0.008, N = 3SE +/- 0.011, N = 3SE +/- 0.027, N = 3SE +/- 0.020, N = 3SE +/- 0.018, N = 3SE +/- 0.060, N = 3SE +/- 0.023, N = 3SE +/- 0.015, N = 3SE +/- 0.019, N = 36.2525.8205.1024.9704.5744.4564.3954.3794.3364.3054.1384.1331. (CXX) g++ options: -O3 -fPIC

CloverLeaf

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

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsCore i9 10900KRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Ryzen 5 5600XCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 9 3950XRyzen 9 5950XRyzen 9 5900X1.2692.5383.8075.0766.345SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.645.064.904.544.534.514.043.993.893.863.853.731. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XCore i5 10600KRyzen 9 3950XRyzen 7 3800XTRyzen 9 3900XTCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X0.38880.77761.16641.55521.944SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 31.7281.6151.4341.4141.3741.3691.3671.3651.2941.1771.1531.1451. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

FFTE

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

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCore i9 10900KRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 9 3900XTRyzen 9 5950XRyzen 5 5600XRyzen 9 3900XRyzen 7 3800XTRyzen 9 5900XRyzen 9 3950X8K16K24K32K40KSE +/- 25.33, N = 3SE +/- 347.09, N = 12SE +/- 103.15, N = 3SE +/- 77.79, N = 3SE +/- 18.52, N = 3SE +/- 98.83, N = 3SE +/- 39.63, N = 3SE +/- 32.74, N = 3SE +/- 29.89, N = 3SE +/- 29.41, N = 3SE +/- 18.60, N = 3SE +/- 34.63, N = 325630.0131041.6532899.6934083.3734238.2335670.0136137.4936604.3636851.9037466.4837925.6238565.531. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Dolfyn

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsRyzen 5 2600Ryzen 5 2600XCore i5 10600KCore i9 10900KRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 319.2818.0317.1316.4016.1516.1315.6415.5715.3813.1412.8412.82

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 5 2600Ryzen 9 3900XRyzen 5 3600XRyzen 5 2600XCore i5 10600KRyzen 9 3900XTRyzen 9 3950XRyzen 7 3800XTCore i9 10900KRyzen 9 5900XRyzen 5 5600XRyzen 9 5950X4080120160200SE +/- 0.67, N = 3SE +/- 4.79, N = 15SE +/- 2.00, N = 3204190190180178177175156150148148136

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X12M24M36M48M60MSE +/- 223179.51, N = 3SE +/- 314239.01, N = 3SE +/- 415561.11, N = 3SE +/- 438932.99, N = 3SE +/- 529964.65, N = 5SE +/- 566907.60, N = 3SE +/- 523372.80, N = 3SE +/- 24227.92, N = 3SE +/- 574257.00, N = 3SE +/- 138240.46, N = 3SE +/- 501860.59, N = 3SE +/- 250264.91, N = 337514301.840472566.043647479.344081890.744123395.744714220.644883700.947964784.252005432.954945549.955937330.156105538.1

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTCore i5 10600KRyzen 5 5600XCore i9 10900KRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.26, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 323.4221.7618.6618.3318.2718.2017.7717.3516.2716.0515.9715.741. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 9 3900XTRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XRyzen 7 3800XTCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 340.3038.0333.1632.5832.5332.3032.0131.2031.1227.9127.6227.271. (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: ScaleRyzen 5 2600Ryzen 5 2600XCore i5 10600KRyzen 9 3900XRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTCore i9 10900KRyzen 7 3800XTRyzen 9 5950XRyzen 5 5600XRyzen 9 5900X246810SE +/- 0.032, N = 3SE +/- 0.048, N = 3SE +/- 0.011, N = 3SE +/- 0.023, N = 3SE +/- 0.012, N = 3SE +/- 0.013, N = 3SE +/- 0.032, N = 3SE +/- 0.048, N = 3SE +/- 0.034, N = 3SE +/- 0.032, N = 3SE +/- 0.015, N = 3SE +/- 0.053, N = 36.7696.2005.6395.5505.5285.4995.4565.3115.2384.6414.6364.593

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: airCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X0.450.91.351.82.252.001.991.821.701.631.601.591.571.551.371.361.36

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 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTCore i5 10600KRyzen 9 3950XRyzen 7 3800XTCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 2.65, N = 3SE +/- 2.11, N = 3SE +/- 0.10, N = 3SE +/- 0.92, N = 3SE +/- 0.69, N = 3SE +/- 1.85, N = 3SE +/- 3.26, N = 3SE +/- 0.67, N = 3SE +/- 0.65, N = 3131.78140.76159.39159.96163.05165.10165.36168.24179.16185.18189.65192.121. (CC) gcc options: -lm

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core i5 10600KRyzen 5 2600Core i9 10900KRyzen 5 2600XRyzen 9 3900XRyzen 5 3600XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 3950XRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.23, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 322.3721.1921.0620.0418.5218.2617.4117.3417.2415.8815.6115.371. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i5 10600KRyzen 5 2600Core i9 10900KRyzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X80160240320400SE +/- 0.44, N = 3SE +/- 0.32, N = 3SE +/- 2.33, N = 3SE +/- 0.64, N = 3SE +/- 1.93, N = 3SE +/- 4.54, N = 3SE +/- 1.69, N = 3SE +/- 2.39, N = 3SE +/- 1.54, N = 3SE +/- 0.08, N = 3SE +/- 0.81, N = 3SE +/- 1.47, N = 3368.44360.75340.68334.70285.66280.25280.03270.84270.45260.76254.15253.651. chrome 86.0.4240.75

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTCore i5 10600KRyzen 7 3800XTCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1530456075SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.52, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 365.3160.6955.2154.6754.0953.6952.5352.4549.2346.1545.0545.05

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XCore i5 10600KRyzen 9 3900XTRyzen 7 3800XTCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.34, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.62, N = 3SE +/- 0.64, N = 3SE +/- 1.47, N = 4SE +/- 1.43, N = 3SE +/- 1.14, N = 3SE +/- 1.49, N = 3SE +/- 0.48, N = 3SE +/- 0.95, N = 3SE +/- 0.97, N = 381.6089.87105.02105.14105.77106.60107.15107.56113.69115.92117.14117.721. firefox 81.0

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X1020304050SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 344.1240.6838.5537.4637.2337.1936.4635.1032.3631.9830.8830.85

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 3900XRyzen 5 3600XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 9 5950XRyzen 5 5600XRyzen 9 5900X3691215SE +/- 0.126, N = 3SE +/- 0.066, N = 3SE +/- 0.083, N = 3SE +/- 0.049, N = 3SE +/- 0.080, N = 3SE +/- 0.092, N = 3SE +/- 0.041, N = 3SE +/- 0.089, N = 3SE +/- 0.094, N = 3SE +/- 0.062, N = 3SE +/- 0.045, N = 3SE +/- 0.098, N = 39.6238.7378.0748.0578.0267.9437.7577.6817.4616.8426.7526.747

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 5 2600Ryzen 5 2600XRyzen 9 3900XCore i5 10600KRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTCore i9 10900KRyzen 7 3800XTRyzen 9 5950XRyzen 5 5600XRyzen 9 5900X2004006008001000SE +/- 8.29, N = 3SE +/- 5.26, N = 3SE +/- 5.46, N = 3SE +/- 2.60, N = 3SE +/- 2.86, N = 3SE +/- 6.74, N = 3SE +/- 2.56, N = 3SE +/- 2.78, N = 3SE +/- 1.77, N = 3SE +/- 4.47, N = 3SE +/- 1.57, N = 3SE +/- 1.65, N = 3940.0856.8745.9745.5737.2731.0714.9709.4708.1673.1664.5663.01. firefox 81.0

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRyzen 5 2600Ryzen 5 2600XRyzen 9 3900XRyzen 5 3600XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X1020304050SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 343.2539.7536.7836.7536.6435.9934.7434.1231.7330.8930.7430.56

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 9 3900XRyzen 5 3600XCore i9 10900KRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X816243240SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.42, N = 3SE +/- 0.20, N = 3SE +/- 0.36, N = 4SE +/- 0.24, N = 3SE +/- 0.08, N = 3SE +/- 0.33, N = 3SE +/- 0.34, N = 334.0832.3529.4228.5027.9027.7527.3227.0926.4624.6324.5724.241. chrome 86.0.4240.75

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XRyzen 9 3950XRyzen 9 3900XTRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X816243240SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 334.0931.5229.6729.4729.1829.0728.3627.0425.4525.0624.6724.53

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmCore i5 10600KRyzen 5 2600Core i9 10900KRyzen 5 2600XRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 322.3821.8220.3620.1519.1319.1018.9018.7918.4316.7916.4816.17

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 5 2600Ryzen 5 2600XCore i5 10600KRyzen 5 3600XRyzen 9 3950XCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 5 5600XRyzen 9 5950XRyzen 9 5900X816243240SE +/- 0.44, N = 3SE +/- 0.32, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.30, N = 333.230.829.027.026.926.826.726.225.424.424.124.11. firefox 81.0

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XTRyzen 9 3950XRyzen 9 3900XRyzen 7 3800XTCore i5 10600KCore i9 10900KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X100200300400500SE +/- 0.36, N = 3SE +/- 1.82, N = 3SE +/- 1.90, N = 3SE +/- 0.67, N = 3SE +/- 3.56, N = 3SE +/- 0.11, N = 3SE +/- 4.92, N = 3SE +/- 0.12, N = 3SE +/- 0.30, N = 3SE +/- 0.94, N = 3SE +/- 0.97, N = 3SE +/- 0.69, N = 3343.93370.26390.47393.72400.12403.65411.27420.58446.45453.52461.36465.901. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 9 3950XCore i5 10600KRyzen 5 5600XRyzen 9 5900XRyzen 9 5950XCore i9 10900K120240360480600SE +/- 0.14, N = 3SE +/- 0.88, N = 3SE +/- 3.10, N = 3SE +/- 6.64, N = 3SE +/- 0.08, N = 3SE +/- 3.75, N = 3SE +/- 5.13, N = 3SE +/- 0.37, N = 3SE +/- 0.32, N = 3SE +/- 0.24, N = 3SE +/- 0.54, N = 3SE +/- 0.12, N = 3420.79455.95480.70488.01492.74499.69501.99523.67539.22548.75550.63556.851. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Ryzen 5 2600Core i5 10600KRyzen 5 2600XCore i9 10900KRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XRyzen 9 3900XTRyzen 7 3800XTRyzen 9 5950XRyzen 5 5600XRyzen 9 5900X70140210280350SE +/- 0.40, N = 3SE +/- 0.14, N = 3SE +/- 0.39, N = 3SE +/- 1.24, N = 3SE +/- 0.44, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 3SE +/- 0.84, N = 3SE +/- 2.89, N = 3SE +/- 1.61, N = 3SE +/- 0.21, N = 3SE +/- 1.79, N = 3300.34294.97282.94282.65258.83257.80256.34255.51246.79228.34227.66227.29MIN: 287.66 / MAX: 320.52MIN: 294.25 / MAX: 296.33MIN: 268.15 / MAX: 299.88MIN: 278.48 / MAX: 286.84MIN: 245.84 / MAX: 277.3MIN: 253.88 / MAX: 275.98MIN: 249.57 / MAX: 278.25MIN: 242.62 / MAX: 276.95MIN: 240.1 / MAX: 270.64MIN: 221.95 / MAX: 262.93MIN: 226.8 / MAX: 237.29MIN: 221.13 / MAX: 240.211. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ryzen 5 2600Core i5 10600KCore i9 10900KRyzen 5 2600XRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 5600XRyzen 9 5900XRyzen 9 5950X60120180240300SE +/- 0.44, N = 3SE +/- 0.10, N = 3SE +/- 3.74, N = 3SE +/- 0.38, N = 3SE +/- 0.29, N = 3SE +/- 0.65, N = 3SE +/- 2.02, N = 12SE +/- 0.80, N = 3SE +/- 1.57, N = 3SE +/- 0.04, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3278.62278.41261.56260.66240.34240.28236.45235.52231.37216.96215.55213.84MIN: 276.97 / MAX: 280.86MIN: 278.09 / MAX: 284.76MIN: 253.09 / MAX: 270.4MIN: 259.28 / MAX: 263.02MIN: 239.2 / MAX: 249.7MIN: 237.48 / MAX: 242.43MIN: 224.41 / MAX: 244.45MIN: 233.06 / MAX: 238.56MIN: 228.01 / MAX: 242MIN: 216.75 / MAX: 217.19MIN: 214.45 / MAX: 216.73MIN: 213.22 / MAX: 214.971. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Ryzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 5 3600XRyzen 9 3900XTRyzen 9 3900XCore i5 10600KRyzen 7 3800XTRyzen 5 5600XRyzen 9 5900XCore i9 10900KRyzen 9 5950X4080120160200SE +/- 0.03, N = 3SE +/- 0.63, N = 3SE +/- 0.25, N = 3SE +/- 0.09, N = 3SE +/- 2.75, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.49, N = 3SE +/- 0.02, N = 3SE +/- 0.60, N = 3SE +/- 0.03, N = 3SE +/- 0.37, N = 3137.69148.86157.12157.47159.83162.65165.64168.05169.18173.79176.07177.011. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Selenium

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxCore i9 10900KCore i5 10600KRyzen 5 2600Ryzen 5 2600XRyzen 9 3950XRyzen 9 5950XRyzen 9 3900XTRyzen 9 3900XRyzen 5 3600XRyzen 9 5900XRyzen 5 5600XRyzen 7 3800XT1.23752.4753.71254.956.1875SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 4SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 35.55.45.25.04.54.44.44.44.44.34.34.31. firefox 81.0

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeCore i5 10600KRyzen 5 2600Core i9 10900KRyzen 5 2600XRyzen 9 3950XRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XRyzen 9 5950XRyzen 9 5900XRyzen 5 5600X1.14752.2953.44254.595.7375SE +/- 0.03, N = 3SE +/- 0.05, N = 9SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 35.15.05.04.64.34.24.24.24.24.04.04.01. chrome 86.0.4240.75

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaRyzen 5 2600Ryzen 5 2600XRyzen 9 3950XCore i5 10600KRyzen 9 3900XTRyzen 9 3900XRyzen 7 3800XTRyzen 5 3600XRyzen 5 5600XCore i9 10900KRyzen 9 5950XRyzen 9 5900X20406080100SE +/- 1.19, N = 3SE +/- 1.02, N = 4SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.44, N = 3SE +/- 0.81, N = 3SE +/- 0.57, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.86, N = 3SE +/- 0.70, N = 375.3472.4769.6469.0168.1667.7966.4666.2562.7962.6462.5560.45

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURyzen 5 5600X0.14180.28360.42540.56720.709SE +/- 0.00, N = 30.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 5 5600X0.13950.2790.41850.5580.6975SE +/- 0.00, N = 30.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURyzen 5 5600X7001400210028003500SE +/- 39.99, N = 33144.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURyzen 5 5600X7001400210028003500SE +/- 9.00, N = 33087.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPURyzen 5 5600X5001000150020002500SE +/- 5.27, N = 32244.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURyzen 5 5600X5001000150020002500SE +/- 2.11, N = 32225.201. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 5 5600X48121620SE +/- 0.08, N = 315.30MIN: 15.06 / MAX: 15.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ryzen 5 5600X1428425670SE +/- 0.18, N = 361.72MIN: 60.76 / MAX: 66.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRyzen 5 5600X0.22050.4410.66150.8821.1025SE +/- 0.00, N = 30.98MIN: 0.97 / MAX: 1.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRyzen 5 5600X0.64581.29161.93742.58323.229SE +/- 0.02, N = 32.87MIN: 2.79 / MAX: 7.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Ryzen 5 5600X0.48830.97661.46491.95322.4415SE +/- 0.01, N = 32.17MIN: 2.14 / MAX: 2.971. (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 5 5600X0.96591.93182.89773.86364.8295SE +/- 0.002, N = 34.293MIN: 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

229 Results Shown

ACES DGEMM
Aircrack-ng
oneDNN
John The Ripper
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP32 - CPU
Intel Open Image Denoise
oneDNN:
  Deconvolution Batch deconv_3d - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
OpenVINO:
  Person Detection 0106 FP16 - CPU
  Person Detection 0106 FP32 - CPU
  Face Detection 0106 FP16 - CPU
  Face Detection 0106 FP32 - CPU
OpenVKL
OpenSSL
John The Ripper
TSCP
Embree
BRL-CAD
N-Queens
Embree
Chaos Group V-RAY
Kvazaar
SciMark
Kvazaar
m-queens
SVT-AV1
Embree
TTSIOD 3D Renderer
Blender
GraphicsMagick
asmFish
Tachyon
YafaRay
Rodinia
Stockfish
oneDNN
SVT-AV1
Smallpt
Tungsten Renderer
Embree
Blender
LuxCoreRender
ASTC Encoder
Kvazaar
Basis Universal
Timed MPlayer Compilation
ASTC Encoder
Tungsten Renderer
Kvazaar
LuxCoreRender
Kvazaar
Blender
TensorFlow Lite
Kvazaar
LAMMPS Molecular Dynamics Simulator
TensorFlow Lite:
  Mobilenet Float
  Inception V4
NAMD
POV-Ray
x265
oneDNN
C-Ray
GraphicsMagick
Timed Linux Kernel Compilation
TensorFlow Lite
Rodinia
Tungsten Renderer
Timed LLVM Compilation
Numenta Anomaly Benchmark
TensorFlow Lite
Timed FFmpeg Compilation
Appleseed
Basis Universal
7-Zip Compression
x264
SVT-VP9
Appleseed
Sunflow Rendering System
Polyhedron Fortran Benchmarks
NCNN
Appleseed
NeatBench
Kvazaar:
  Bosphorus 1080p - Ultra Fast
  Bosphorus 1080p - Very Fast
NCNN
GROMACS
Numenta Anomaly Benchmark
Timed ImageMagick Compilation
Mobile Neural Network:
  inception-v3
  SqueezeNetV1.0
NCNN
Numenta Anomaly Benchmark
SciMark
libavif avifenc
OCRMyPDF
NCNN
libavif avifenc
SVT-VP9
dav1d
Mobile Neural Network
Timed PHP Compilation
TensorFlow Lite
Mobile Neural Network
dav1d
DaCapo Benchmark
Numenta Anomaly Benchmark
Rodinia
Nebular Empirical Analysis Tool
WireGuard + Linux Networking Stack Stress Test
NCNN
LibRaw
NCNN
Zstd Compression:
  19
  3
AOM AV1
NCNN
AOM AV1
PlaidML:
  No - Inference - ResNet 50 - CPU
  No - Inference - Inception V3 - CPU
NCNN
Tungsten Renderer
AOM AV1
Timed GDB GNU Debugger Compilation
VP9 libvpx Encoding
AOM AV1
PlaidML
Perl Benchmarks
Radiance Benchmark
Basis Universal
Numpy Benchmark
DaCapo Benchmark
Timed Apache Compilation
Radiance Benchmark
PyPerformance
Timed MAFFT Alignment
SciMark
VP9 libvpx Encoding
Timed MrBayes Analysis
SQLite Speedtest
Inkscape
PyPerformance
GIMP
libjpeg-turbo tjbench
Crafty
ASTC Encoder
Selenium
Basis Universal
Selenium:
  Speedometer - Google Chrome
  StyleBench - Google Chrome
Fhourstones
GraphicsMagick
Polyhedron Fortran Benchmarks
Monte Carlo Simulations of Ionised Nebulae
PyPerformance
LibreOffice
dav1d
Hierarchical INTegration
PyPerformance
Selenium
Montage Astronomical Image Mosaic Engine
Rodinia
RawTherapee
C-Blosc
Selenium
PyPerformance
PyBench
DaCapo Benchmark
Tesseract OCR
Selenium
WebP Image Encode
LAME MP3 Encoding
Caffe
eSpeak-NG Speech Engine
libavif avifenc
WebP Image Encode
Perl Benchmarks
NCNN
DeepSpeech
GIMP:
  auto-levels
  rotate
GNU Octave Benchmark
FLAC Audio Encoding
WebP Image Encode
Caffe
libavif avifenc
CloverLeaf
WebP Image Encode
FFTE
Dolfyn
ctx_clock
BYTE Unix Benchmark
G'MIC
WebP Image Encode
GEGL
Polyhedron Fortran Benchmarks
SciMark
RNNoise
Selenium
GEGL
Selenium
GEGL:
  Rotate 90 Degrees
  Crop
Selenium
GEGL
Selenium
GEGL
Mlpack Benchmark
Selenium
Botan:
  Twofish
  Blowfish
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
Botan
Selenium:
  Maze Solver - Firefox
  Maze Solver - Google Chrome
Mlpack Benchmark
OpenVINO:
  Age Gender Recognition Retail 0013 FP32 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Person Detection 0106 FP32 - CPU
  Person Detection 0106 FP16 - CPU
  Face Detection 0106 FP32 - CPU
  Face Detection 0106 FP16 - CPU
NCNN:
  CPU - alexnet
  CPU - vgg16
  CPU - blazeface
  CPU - mnasnet
  CPU - shufflenet-v2
Mobile Neural Network