AMD Ryzen 9 vs. Core i9 10900K Linux

AMD Ryzen 9 3900X 12-Core testing with a ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS) and MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010190-FI-AMDRYZEN978
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Core i9 10900K
October 16 2020
  13 Hours, 39 Minutes
Ryzen 9 3900X
October 18 2020
  13 Hours, 50 Minutes
Ryzen 9 3900XT
October 17 2020
  14 Hours, 11 Minutes
Ryzen 9 3950X
October 15 2020
  12 Hours, 56 Minutes
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AMD Ryzen 9 vs. Core i9 10900K LinuxOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-10900K @ 5.30GHz (10 Cores / 20 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)Gigabyte Z490 AORUS MASTER (F3 BIOS)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS)Intel Comet Lake PCHAMD Starship/Matisse16GB2000GB Corsair Force MP600AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Navi 10 HDMI AudioASUS MG28UIntel Device 15f3 + Intel Wi-Fi 6 AX201Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 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 9.3.0ext41920x1080ProcessorsMotherboardsChipsetsMemoryDiskGraphicsAudioMonitorNetworksOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionAMD Ryzen 9 Vs. Core I9 10900K Linux BenchmarksSystem Logs- --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 - Core i9 10900K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8- 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- OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Python 2.7.18 + Python 3.8.5- Core i9 10900K: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 9 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

Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XResult OverviewPhoronix Test Suite100%127%154%181%BLAKE2m-queensMobile Neural NetworkC-RayTensorFlow LiteTachyonApache CouchDBN-QueensSmallptBork File EncrypterFFTENeatBenchLuxCoreRenderBlenderStockfishCloverLeafChaos Group V-RAYPOV-RayCoremarkAppleseedZstd CompressionASTC EncoderTimed MPlayer CompilationTimed LLVM Compilation7-Zip CompressionJohn The RipperYafaRayAircrack-ngGPAWOptcarrotasmFishOpenSSLTimed Linux Kernel CompilationBRL-CADNAMDTimed FFmpeg CompilationDaCapo BenchmarkOpenVKLGraphicsMagickHierarchical INTegrationLAMMPS Molecular Dynamics SimulatorPHPBenchEmbreeACES DGEMMKvazaarG'MICx264Tungsten RendererMonte Carlo Simulations of Ionised Nebulaectx_clockGROMACSNCNNTTSIOD 3D RendererDeepSpeechIntel Open Image DenoiseOpenVINORNNoiseSQLite SpeedtestInkscapeMlpack BenchmarkSunflow Rendering SystemSVT-AV1Tesseract OCRTimed ImageMagick CompilationBasis UniversalLULESHAOM AV1dav1dNumenta Anomaly BenchmarkBYTE Unix BenchmarkHigh Performance Conjugate GradientAlgebraic Multi-Grid BenchmarkoneDNNSciMarkNebular Empirical Analysis ToolPyPerformanceTimed Apache CompilationHimeno BenchmarkASKAPGNU Octave BenchmarkTimed MrBayes AnalysisTSCPPyBenchFhourstonesAOBenchPlaidMLGIMPRodiniaTimed PHP CompilationOCRMyPDFBotanGEGLPerl Benchmarksx265CraftyVP9 libvpx EncodingWireGuard + Linux Networking Stack Stress Testlibavif avifencTNNSVT-VP9Numpy BenchmarkRadiance BenchmarkTimed GDB GNU Debugger CompilationCython benchmarkMontage Astronomical Image Mosaic EnginePolyhedron Fortran BenchmarksLibRawlibjpeg-turbo tjbenchC-BloscWebP Image EncodeeSpeak-NG Speech EngineFLAC Audio EncodingDolfynDarktableTimed MAFFT AlignmentRawTherapeeLibreOffice

AMD Ryzen 9 vs. Core i9 10900K Linuxmnn: mobilenet-v1-1.0blake2: mlpack: scikit_linearridgeregressionmnn: MobileNetV2_224mnn: SqueezeNetV1.0m-queens: Time To Solvedacapobench: Tradebeanstensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floatrodinia: OpenMP CFD Solvertensorflow-lite: SqueezeNetmnn: resnet-v2-50ncnn: CPU - shufflenet-v2c-ray: Total Time - 4K, 16 Rays Per Pixeltensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4openvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUastcenc: Exhaustivetachyon: Total Timeastcenc: Thoroughcouchdb: 100 - 1000 - 24n-queens: Elapsed Timecompress-zstd: 3ncnn: CPU - blazefaceblender: Classroom - CPU-Onlysmallpt: Global Illumination Renderer; 128 Samplesgraphics-magick: Enhancedbork: File Encryption Timeblender: Fishy Cat - CPU-Onlykvazaar: Bosphorus 4K - Slowffte: N=256, 3D Complex FFT Routinegraphics-magick: Noise-Gaussiankvazaar: Bosphorus 4K - Mediumneatbench: CPUluxcorerender: DLSCappleseed: Disney Materialtungsten: Hairluxcorerender: Rainbow Colors and Prismbasis: UASTC Level 3stockfish: Total Timeonednn: IP Batch 1D - f32 - CPUrodinia: OpenMP Streamclustergmic: 2D Function Plotting, 1000 Timescloverleaf: Lagrangian-Eulerian Hydrodynamicsncnn: CPU - googlenetgraphics-magick: Resizingopenvino: Age Gender Recognition Retail 0013 FP32 - CPUgraphics-magick: Sharpenappleseed: Emilyv-ray: CPUpovray: Trace Timecoremark: CoreMark Size 666 - Iterations Per Secondcaffe: AlexNet - CPU - 200polyhedron: linpkrodinia: OpenMP LavaMDjohn-the-ripper: MD5blender: BMW27 - CPU-Onlyopenvino: Age Gender Recognition Retail 0013 FP16 - CPUbuild-mplayer: Time To Compilecompress-7zip: Compress Speed Testbuild-llvm: Time To Compilegraphics-magick: HWB Color Spacejohn-the-ripper: Blowfishbasis: UASTC Level 2aircrack-ng: yafaray: Total Time For Sample Scenegpaw: Carbon Nanotubeoptcarrot: Optimized Benchmarkopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUembree: Pathtracer - Crownasmfish: 1024 Hash Memory, 26 Depthopenssl: RSA 4096-bit Performancencnn: CPU - mnasnetcaffe: GoogleNet - CPU - 200dav1d: Summer Nature 1080pbuild-linux-kernel: Time To Compilebrl-cad: VGR Performance Metricnamd: ATPase Simulation - 327,506 Atomsdav1d: Chimera 1080pbuild-ffmpeg: Time To Compileopenvkl: vklBenchmarkembree: Pathtracer ISPC - Crownappleseed: Material Testerhint: FLOATkvazaar: Bosphorus 1080p - Slowtungsten: Non-Exponentialphpbench: PHP Benchmark Suitetungsten: Volumetric Caustickvazaar: Bosphorus 1080p - Mediumncnn: CPU - resnet18aom-av1: Speed 6 Realtimeonednn: Deconvolution Batch deconv_1d - f32 - CPUkvazaar: Bosphorus 1080p - Very Fastmt-dgemm: Sustained Floating-Point Rateembree: Pathtracer ISPC - Asian Dragoncompress-zstd: 19kvazaar: Bosphorus 4K - Ultra Fastgraphics-magick: Rotateembree: Pathtracer - Asian Dragonnumenta-nab: Bayesian Changepointaom-av1: Speed 8 Realtimex264: H.264 Video Encodingncnn: CPU-v3-v3 - mobilenet-v3kvazaar: Bosphorus 4K - Very Fastopenvino: Face Detection 0106 FP16 - CPUmocassin: Dust 2D tau100.0polyhedron: airplaidml: No - Inference - VGG16 - CPUgromacs: Water Benchmarkplaidml: No - Inference - VGG19 - CPUopenvino: Face Detection 0106 FP32 - CPUtensorflow-lite: NASNet Mobileopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUselenium: WASM collisionDetection - Google Chromemnn: inception-v3selenium: Maze Solver - Firefoxopenvino: Person Detection 0106 FP16 - CPUkvazaar: Bosphorus 1080p - Ultra Fastttsiod-renderer: Phong Rendering With Soft-Shadow Mappingdeepspeech: CPUoidn: Memorialopenvino: Person Detection 0106 FP32 - CPUncnn: CPU - resnet50svt-av1: Enc Mode 4 - 1080px265: Bosphorus 4Konednn: Deconvolution Batch deconv_3d - f32 - CPUrnnoise: askap: tConvolve OpenMP - Degriddinginkscape: SVG Files To PNGsqlite-speedtest: Timed Time - Size 1,000selenium: StyleBench - Firefoxpyperformance: raytraceplaidml: No - Inference - Inception V3 - CPUavifenc: 0sunflow: Global Illumination + Image Synthesisncnn: CPU - efficientnet-b0svt-av1: Enc Mode 8 - 1080pdarktable: Boat - CPU-onlygimp: unsharp-maskpyperformance: python_startuponednn: IP Batch All - f32 - CPUtesseract-ocr: Time To OCR 7 Imagesbuild-imagemagick: Time To Compiledacapobench: Jythondacapobench: Tradesoapavifenc: 2lulesh: numenta-nab: Earthgecko Skylinevpxenc: Speed 5dav1d: Chimera 1080p 10-bitselenium: Maze Solver - Google Chromenumenta-nab: Windowed Gaussianbyte: Dhrystone 2x265: Bosphorus 1080ppyperformance: regex_compilescimark2: Dense LU Matrix Factorizationhpcg: amg: selenium: ARES-6 - Google Chromegimp: auto-levelsncnn: CPU - squeezenetncnn: CPU - yolov4-tinyneat: selenium: WASM collisionDetection - Firefoxperl-benchmark: Pod2htmlbuild-apache: Time To Compilegegl: Antialiasgegl: Reflectgegl: Rotate 90 Degreesscimark2: Sparse Matrix Multiplyscimark2: Compositenumenta-nab: Relative Entropyhimeno: Poisson Pressure Solverselenium: ARES-6 - Firefoxncnn: CPU-v2-v2 - mobilenet-v2pybench: Total For Average Test Timesselenium: PSPDFKit WASM - Firefoxoctave-benchmark: mrbayes: Primate Phylogeny Analysisgmic: Plotting Isosurface Of A 3D Volume, 1000 Timestscp: AI Chess Performanceaskap: tConvolve OpenMP - Griddingbotan: Blowfishfhourstones: Complex Connect-4 Solvingrodinia: OpenMP Leukocytetungsten: Water Causticaobench: 2048 x 2048 - Total Timebotan: Twofishwebp: Quality 100, Highest Compressionbuild-php: Time To Compileastcenc: Mediumdarktable: Server Rack - CPU-onlyradiance: Serialpolyhedron: rnflowdarktable: Masskrug - CPU-onlyonednn: Recurrent Neural Network Training - f32 - CPUocrmypdf: Processing 60 Page PDF Documentscimark2: Jacobi Successive Over-Relaxationbotan: CAST-256scimark2: Monte Carloaom-av1: Speed 6 Two-Passsvt-vp9: Visual Quality Optimized - Bosphorus 1080pcrafty: Elapsed Timemlpack: scikit_qdatnn: CPU - SqueezeNet v1.1gegl: Color Enhancewireguard: pyperformance: nbodytnn: CPU - MobileNet v2pyperformance: pathlibbotan: KASUMInumpy: gimp: resizedav1d: Summer Nature 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pperl-benchmark: Interpreterwebp: Defaultncnn: CPU - alexnetaom-av1: Speed 4 Two-Passcython-bench: onednn: Convolution Batch Shapes Auto - f32 - CPUbuild-gdb: Time To Compilemlpack: scikit_svmradiance: SMP Parallelgimp: rotatewebp: Quality 100selenium: Jetstream 2 - Firefoxgegl: Cropselenium: Jetstream 2 - Google Chromemontage: Mosaic of M17, K band, 1.5 deg x 1.5 degselenium: Kraken - Google Chromelibraw: Post-Processing Benchmarktjbench: Decompression Throughputselenium: CanvasMark - Firefoxblosc: blosclzbasis: UASTC Level 0espeak: Text-To-Speech Synthesisdarktable: Server Room - CPU-onlymlpack: scikit_icaencode-flac: WAV To FLACdolfyn: Computational Fluid Dynamicswebp: Quality 100, Losslessselenium: WASM imageConvolute - Google Chromerodinia: OpenMP HotSpot3Dselenium: Kraken - Firefoxpolyhedron: proteinplaidml: No - Inference - ResNet 50 - CPUbasis: ETC1Sselenium: PSPDFKit WASM - Google Chromewebp: Quality 100, Lossless, Highest Compressionvpxenc: Speed 0gegl: Scalemafft: Multiple Sequence Alignment - LSU RNAselenium: Speedometer - Firefoxncnn: CPU - mobilenetplaidml: No - Inference - Mobilenet - CPUrawtherapee: Total Benchmark Timeavifenc: 8ncnn: CPU - vgg16libreoffice: 20 Documents To PDFselenium: StyleBench - Google Chromeselenium: Speedometer - Google Chromeencode-mp3: WAV To MP3selenium: WASM imageConvolute - Firefoxavifenc: 10selenium: CanvasMark - Google Chromectx-clock: Context Switch Timescimark2: Fast Fourier Transformdacapobench: H2lammps: Rhodopsin ProteinCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2.9324.184.022.8234.33159.606236811761911423018.34316759525.3102.9852.127213959323729301491.971487.70170.2165.983521.3163.18610.3532922.31.30352.167.9052695.175162.996.8025630.0050489643156.9618.32.21178.12403520.07032.4646.538357268133.2856217.33086.1535.6413.2812649817.40175299.9050691976533.731509313.925300753132.28170.1521331333114.709817.0829.03864772506.57312142359125.17745909.654109.474427.294185.290.490.4915.4247403924593712.33.86196074738.4363.9461838101.23607785.8744.869192.7517.7041166.409258511718743.4027928.395.146038827947.0072829.3613.5625.672.9625369.905.30324020.429930.335.2594517.630733.14049.04126.194.0019.573.341661.9917.970.97714.983.291476941.931.93340.681829.4275.52567.70129.64706.15378.0174311.102585.4524.284.32018.814.7876621.0612219.2119.85746.5641053539.2171.8590.7815.8938.23314.04612.6606.7457.167519.17424.7383319288442.77211.80710493.11330.34131.945.08.09952005432.971.641341176.074.3616422682.0015.8210.44214.0425.0014.234419.10.0976578118.04031.72925.45032.355929.10829.3016.9904540.56825434.725.0677311415.89763.63016.04715727701325.01556.85217624.882.98223.582227.207446.4536.02447.7936.800.167588.16112.814.631214.08819.8371472.19176.074179.164.65186.011008741862.64261.56449.231176.73993.0282.64514.3115.399451.536.804183.54210.080.000702281.29415.402.9235.31721.322187.42920.36183.25210.4042.009113.6907.461163.67866.371754.941.50237.2565491313710815.86.37125.3023.59953.447.17316.39815.08427.752783.891709.411.647.3843.301141231.1208.085.3118.702104.116.4117.0653.6674.53869.456.28935.21386.96626.84.37917755150390.0027478.7016.8888.391.953.9887.23446.740380896280.293903.613.59713810133.0744.8442.894179501319990702150.642154.22145.0973.970218.3991.0399.2454499.81.92317.037.0922987.816146.607.3736851.9015828483687.5124.72.40161.51386517.93312.6441.274381243113.8003121.770115.5943.8917.3814329125.69184267.0667552091031.534521713.0984871073563.2164.7051366667111.619097.7425.76776909446.17914752024422.87842773.974103.713311.427138.560.650.6515.6590388368733489.84.79262738548.5457.9071837441.54488586.7840.482177.7514.9594160.127712401445819.0321927.345.809236668327.4219528.1316.7019.823.2643762.504.16796516.525538.736.0876616.843028.13438.03136.324.7520.642.782111.617.951.13315.072.781403682.072.10280.247731.5474.42824.05117.56670.09465.3716211.042848.8227.824.41119.375.0846018.5222347.9824.21355.78486.2742810.5968.1840.8426.6135.94711.68014.9478.1251.423823.06623.2213990338941.1109.868076786.30125.83110.594.28.61344081890.760.751581000.225.1233625965.0118.5611.91615.9528.9013.477369.60.1109599520.91936.78229.46537.459802.70717.4216.2585213.27271639.955.4088813106.75572.74418.19613769721179.34492.73515451.088.58924.110230.335403.6516.80446.7857.070.188546.88814.44.523232.65721.0271313.38162.647159.964.16180.89926807067.79235.51854.672196.117103256.33915.8104.558409.497.491197.62202.630.000749991.41416.562.6838.37422.446094.92518.79171.79311.1452.175105.1418.057151.42371.621715.343.19229.3130871397911595.26.71526.8073.78650.537.57916.12815.25828.499281.104745.912.237.1444.349148032.0127.735.5508.907100.116.4916.4054.3414.61669.096.50636.2140.27.08126.74.39521851190310.8631309.2626.9118.682.004.0227.23545.820379694517.092214.213.29413560233.4684.8342.030176101019619402285.392280.58140.2760.119117.8191.1789.0684483.51.92303.726.9443017.780141.237.5635670.0087247233667.7125.12.50156.53011117.37952.7340.666389153954.8138021.629116.2463.9917.3114158748.79187259.3290772151730.580531877.7389151058033.22159.4131413667106.808760.8425.06377550432.30213592072922.63143919.307100.553311.229139.430.670.6716.0926400823093551.04.82258972546.1156.7761885221.49526585.4739.518182.9715.2873155.823422385672695.9505627.665.793386904427.2496028.5616.4819.643.1530463.264.23653416.832338.936.8772616.990026.85538.32139.094.7521.162.622051.5718.481.13615.062.611390141.991.97270.843232.4844.42997.79119.07684.39065.5784210.462971.4127.664.49319.655.2536617.4062339.0923.77656.77386.741310.6167.3030.8056.6236.59211.65414.7898.0156.227423.00322.7663963334840.42710.09197183.18925.64110.904.28.18744714220.661.971531019.655.0784126631.1518.3811.87616.3928.6813.226360.70.1133821220.67435.98829.06937.191820.38743.5716.0265040.74331839.625.3986612916.59569.94118.27013852061163.42488.01415572.886.78623.826930.894393.7176.55546.2717.040.185526.45714.354.495220.21520.5551343.50159.834163.054.18180.29907152868.16236.44753.688194.851101255.50515.4104.906425.557.381197.64198.200.000753641.36516.532.7138.04022.533394.03318.90170.08311.1162.088107.1467.943152.93168.888705.843.59221.0029701371611473.96.76026.7113.75450.887.53815.63614.85527.088079.756714.912.127.0343.549146732.5797.805.4568.97399.716.5016.3853.5094.58668.796.35536.3142.46.96426.24.33622395177371.2930509.4877.662.015.7168.16233.840406868497.966530.310.81910052742.1294.9631.326128840714324032446.632419.80105.6346.372313.5597.7816.7044059.11.99230.945.2004077.606107.9710.2638565.53131554647210.4027.33.29119.85719713.53833.6431.648524073674.0392625.388126.0083.8619.24182912650.24252208.3578922841623.510726166.5430621056173.03120.533186800081.7712280.8520.77590071364.32716872809618.30458788.47079.697316.334135.440.620.6421.0440529294844743.45.23265131580.8947.3582480771.14997619.2133.467236.5819.8746125.260331406108737.6755236.264.384736898725.6144037.1617.9119.472.4760682.245.47673321.663539.545.9279921.869225.65638.90162.495.1525.173.251991.5922.741.23618.943.271171992.432.43280.031836.9844.53197.55145.91829.78663.2306412.893185.2929.915.32023.094.2971317.2381924.7623.91755.07286.541711.1559.3990.6977.1043.33011.99015.2558.1047.472222.74020.5763946346035.6759.943027277.85225.37113.754.37.27644123395.763.221531022.734.5734626430.1818.5112.25015.9729.0812.242362.20.1105951320.21436.63629.18137.232831.21751.3514.7305235.83459539.565.8287612866.46970.24318.33314072531161.15501.99015875.877.77721.226330.740400.1196.74842.3736.270.183522.73514.394.120207.12118.7311363.28157.120165.364.18200.83919540369.64240.33554.089195.779102258.82715.6107.772422.177.289201.96217.130.000768621.36916.782.7237.79820.742590.54719.13169.17311.2652.161105.0208.074152.15169.702700.544.57225.7093721410011474.96.36526.6773.57952.557.45515.56815.63827.32479.925731.012.037.2242.255142932.3017.835.4998.591100.617.1216.8552.3914.45371.286.41236.4141.86.89426.94.30522848175374.19325511.541OpenBenchmarking.org

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-v1-1.0Core i9 10900KRyzen 9 3900XRyzen 9 3900XT246810SE +/- 0.057, N = 3SE +/- 0.029, N = 8SE +/- 0.013, N = 32.9326.8886.911MIN: 2.83 / MAX: 4.36MIN: 6.67 / MAX: 9.01MIN: 6.78 / MAX: 14.721. (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: mobilenet-v1-1.0Core i9 10900KRyzen 9 3900XRyzen 9 3900XT3691215Min: 2.87 / Avg: 2.93 / Max: 3.05Min: 6.77 / Avg: 6.89 / Max: 7.01Min: 6.89 / Avg: 6.91 / Max: 6.941. (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

BLAKE2

This is a benchmark of BLAKE2 using the blake2s binary. BLAKE2 is a high-performance crypto alternative to MD5 and SHA-2/3. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgCycles Per Byte, Fewer Is BetterBLAKE2 20170307Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.11, N = 44.188.398.687.661. (CC) gcc options: -O3 -march=native -lcrypto -lz
OpenBenchmarking.orgCycles Per Byte, Fewer Is BetterBLAKE2 20170307Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 4.18 / Avg: 4.18 / Max: 4.19Min: 8.33 / Avg: 8.39 / Max: 8.44Min: 8.68 / Avg: 8.68 / Max: 8.68Min: 7.55 / Avg: 7.66 / Max: 7.981. (CC) gcc options: -O3 -march=native -lcrypto -lz

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.90451.8092.71353.6184.5225SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.021.952.002.01
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 4 / Avg: 4.02 / Max: 4.05Min: 1.94 / Avg: 1.95 / Max: 1.96Min: 1.99 / Avg: 2 / Max: 2.02Min: 1.97 / Avg: 2.01 / Max: 2.04

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.28612.57223.85835.14446.4305SE +/- 0.013, N = 3SE +/- 0.026, N = 8SE +/- 0.022, N = 3SE +/- 0.010, N = 32.8233.9884.0225.716MIN: 2.75 / MAX: 4.11MIN: 3.78 / MAX: 15.56MIN: 3.91 / MAX: 6.2MIN: 5.49 / MAX: 6.81. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 2.8 / Avg: 2.82 / Max: 2.84Min: 3.85 / Avg: 3.99 / Max: 4.11Min: 3.98 / Avg: 4.02 / Max: 4.05Min: 5.7 / Avg: 5.72 / Max: 5.731. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.060, N = 3SE +/- 0.076, N = 8SE +/- 0.100, N = 3SE +/- 0.082, N = 34.3317.2347.2358.162MIN: 4.15 / MAX: 16.62MIN: 6.68 / MAX: 15.68MIN: 6.96 / MAX: 9.38MIN: 7.83 / MAX: 11.131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 4.24 / Avg: 4.33 / Max: 4.45Min: 6.8 / Avg: 7.23 / Max: 7.41Min: 7.04 / Avg: 7.23 / Max: 7.37Min: 8.02 / Avg: 8.16 / Max: 8.311. (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

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 i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1326395265SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 359.6146.7445.8233.841. (CXX) g++ options: -fopenmp -O2 -march=native
OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1224364860Min: 59.59 / Avg: 59.61 / Max: 59.62Min: 46.51 / Avg: 46.74 / Max: 46.87Min: 45.56 / Avg: 45.82 / Max: 46.05Min: 33.75 / Avg: 33.84 / Max: 33.91. (CXX) g++ options: -fopenmp -O2 -march=native

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: TradebeansCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X9001800270036004500SE +/- 35.10, N = 4SE +/- 17.21, N = 4SE +/- 16.13, N = 4SE +/- 28.52, N = 42368380837964068
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X7001400210028003500Min: 2284 / Avg: 2367.5 / Max: 2455Min: 3762 / Avg: 3807.75 / Max: 3843Min: 3750 / Avg: 3796.25 / Max: 3824Min: 3990 / Avg: 4067.75 / Max: 4127

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 QuantCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30K60K90K120K150KSE +/- 268.60, N = 3SE +/- 68.68, N = 3SE +/- 14.97, N = 3SE +/- 29.88, N = 3117619.096280.294517.068497.9
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20K40K60K80K100KMin: 117083 / Avg: 117619.33 / Max: 117914Min: 96153.1 / Avg: 96280.17 / Max: 96388.9Min: 94490.5 / Avg: 94517 / Max: 94542.3Min: 68438.2 / Avg: 68497.87 / Max: 68530.5

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20K40K60K80K100KSE +/- 153.73, N = 3SE +/- 43.17, N = 3SE +/- 28.10, N = 3SE +/- 58.97, N = 3114230.093903.692214.266530.3
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20K40K60K80K100KMin: 113971 / Avg: 114230 / Max: 114503Min: 93850.4 / Avg: 93903.6 / Max: 93989.1Min: 92161 / Avg: 92214.17 / Max: 92256.5Min: 66456.7 / Avg: 66530.3 / Max: 66646.9

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 SolverCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 318.3413.6013.2910.821. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 18.31 / Avg: 18.34 / Max: 18.38Min: 13.57 / Avg: 13.6 / Max: 13.64Min: 13.26 / Avg: 13.29 / Max: 13.33Min: 10.81 / Avg: 10.82 / Max: 10.831. (CXX) g++ options: -O2 -lOpenCL

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 i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X40K80K120K160K200KSE +/- 7.51, N = 3SE +/- 17.57, N = 3SE +/- 149.12, N = 3SE +/- 47.83, N = 3167595138101135602100527
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30K60K90K120K150KMin: 167582 / Avg: 167595 / Max: 167608Min: 138066 / Avg: 138100.67 / Max: 138123Min: 135351 / Avg: 135602 / Max: 135867Min: 100479 / Avg: 100527.33 / Max: 100623

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050SE +/- 0.26, N = 3SE +/- 0.17, N = 8SE +/- 0.20, N = 3SE +/- 0.15, N = 325.3133.0733.4742.13MIN: 24.65 / MAX: 37.66MIN: 31.66 / MAX: 46.35MIN: 32.67 / MAX: 45.9MIN: 39.26 / MAX: 53.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645Min: 24.8 / Avg: 25.31 / Max: 25.6Min: 32.15 / Avg: 33.07 / Max: 33.95Min: 33.22 / Avg: 33.47 / Max: 33.86Min: 41.88 / Avg: 42.13 / Max: 42.411. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.1162.2323.3484.4645.58SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 32.984.844.834.96MIN: 2.79 / MAX: 3.93MIN: 4.78 / MAX: 5.76MIN: 4.75 / MAX: 5.78MIN: 4.89 / MAX: 5.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 2.94 / Avg: 2.98 / Max: 3.02Min: 4.82 / Avg: 4.84 / Max: 4.86Min: 4.78 / Avg: 4.83 / Max: 4.87Min: 4.92 / Avg: 4.96 / Max: 4.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

C-Ray

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

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1224364860SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 352.1342.8942.0331.331. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050Min: 52.1 / Avg: 52.13 / Max: 52.16Min: 42.8 / Avg: 42.89 / Max: 42.94Min: 41.93 / Avg: 42.03 / Max: 42.11Min: 31.19 / Avg: 31.33 / Max: 31.451. (CC) gcc options: -lm -lpthread -O3

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X500K1000K1500K2000K2500KSE +/- 151.69, N = 3SE +/- 594.04, N = 3SE +/- 568.71, N = 3SE +/- 289.04, N = 32139593179501317610101288407
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X400K800K1200K1600K2000KMin: 2139290 / Avg: 2139593.33 / Max: 2139750Min: 1794040 / Avg: 1795013.33 / Max: 1796090Min: 1759900 / Avg: 1761010 / Max: 1761780Min: 1287850 / Avg: 1288406.67 / Max: 1288820

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X500K1000K1500K2000K2500KSE +/- 212.21, N = 3SE +/- 793.87, N = 3SE +/- 699.74, N = 3SE +/- 902.45, N = 32372930199907019619401432403
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X400K800K1200K1600K2000KMin: 2372520 / Avg: 2372930 / Max: 2373230Min: 1997890 / Avg: 1999070 / Max: 2000580Min: 1960770 / Avg: 1961940 / Max: 1963190Min: 1430940 / Avg: 1432403.33 / Max: 1434050

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X5001000150020002500SE +/- 1.33, N = 3SE +/- 6.73, N = 3SE +/- 4.10, N = 3SE +/- 10.70, N = 31491.972150.642285.392446.631. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X400800120016002000Min: 1489.47 / Avg: 1491.97 / Max: 1494.01Min: 2138.22 / Avg: 2150.64 / Max: 2161.33Min: 2279.44 / Avg: 2285.39 / Max: 2293.26Min: 2425.89 / Avg: 2446.63 / Max: 2461.571. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X5001000150020002500SE +/- 3.48, N = 3SE +/- 2.51, N = 3SE +/- 3.12, N = 3SE +/- 24.99, N = 31487.702154.222280.582419.801. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X400800120016002000Min: 1481 / Avg: 1487.7 / Max: 1492.68Min: 2151.37 / Avg: 2154.22 / Max: 2159.23Min: 2274.45 / Avg: 2280.58 / Max: 2284.67Min: 2373.64 / Avg: 2419.8 / Max: 2459.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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: ExhaustiveCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3170.21145.09140.27105.631. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 170.01 / Avg: 170.21 / Max: 170.38Min: 144.99 / Avg: 145.09 / Max: 145.15Min: 140.07 / Avg: 140.27 / Max: 140.45Min: 105.51 / Avg: 105.63 / Max: 105.741. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1632486480SE +/- 0.15, N = 3SE +/- 1.12, N = 3SE +/- 0.11, N = 3SE +/- 0.47, N = 365.9873.9760.1246.371. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1428425670Min: 65.71 / Avg: 65.98 / Max: 66.24Min: 71.94 / Avg: 73.97 / Max: 75.82Min: 59.9 / Avg: 60.12 / Max: 60.26Min: 45.62 / Avg: 46.37 / Max: 47.251. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

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: ThoroughCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 321.3118.3917.8113.551. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 21.31 / Avg: 21.31 / Max: 21.32Min: 18.36 / Avg: 18.39 / Max: 18.42Min: 17.79 / Avg: 17.81 / Max: 17.82Min: 13.54 / Avg: 13.55 / Max: 13.551. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 0.67, N = 3SE +/- 0.88, N = 3SE +/- 0.36, N = 3SE +/- 0.89, N = 363.1991.0491.1897.781. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 61.84 / Avg: 63.19 / Max: 63.88Min: 89.46 / Avg: 91.04 / Max: 92.48Min: 90.45 / Avg: 91.18 / Max: 91.58Min: 96.24 / Avg: 97.78 / Max: 99.341. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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 TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215SE +/- 0.002, N = 3SE +/- 0.012, N = 3SE +/- 0.014, N = 3SE +/- 0.008, N = 310.3539.2459.0686.7041. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 10.35 / Avg: 10.35 / Max: 10.36Min: 9.22 / Avg: 9.25 / Max: 9.27Min: 9.04 / Avg: 9.07 / Max: 9.09Min: 6.69 / Avg: 6.7 / Max: 6.721. (CC) gcc options: -static -fopenmp -O3 -march=native

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: 3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X10002000300040005000SE +/- 3.56, N = 3SE +/- 11.08, N = 3SE +/- 9.17, N = 3SE +/- 11.36, N = 32922.34499.84483.54059.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X8001600240032004000Min: 2915.5 / Avg: 2922.3 / Max: 2927.5Min: 4479.3 / Avg: 4499.83 / Max: 4517.3Min: 4468.7 / Avg: 4483.53 / Max: 4500.3Min: 4042.2 / Avg: 4059.1 / Max: 4080.71. (CC) gcc options: -O3 -pthread -lz -llzma

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: blazefaceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.44780.89561.34341.79122.239SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.301.921.921.99MIN: 1.25 / MAX: 1.66MIN: 1.88 / MAX: 1.98MIN: 1.86 / MAX: 2.16MIN: 1.94 / MAX: 2.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 1.28 / Avg: 1.3 / Max: 1.33Min: 1.91 / Avg: 1.92 / Max: 1.94Min: 1.91 / Avg: 1.92 / Max: 1.92Min: 1.98 / Avg: 1.99 / Max: 21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X80160240320400SE +/- 0.66, N = 3SE +/- 0.42, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3352.16317.03303.72230.94
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X60120180240300Min: 351.1 / Avg: 352.16 / Max: 353.36Min: 316.2 / Avg: 317.03 / Max: 317.56Min: 303.44 / Avg: 303.72 / Max: 304.19Min: 230.68 / Avg: 230.94 / Max: 231.16

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 SamplesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.013, N = 3SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.003, N = 37.9057.0926.9445.2001. (CXX) g++ options: -fopenmp -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 7.88 / Avg: 7.91 / Max: 7.93Min: 7.08 / Avg: 7.09 / Max: 7.1Min: 6.93 / Avg: 6.94 / Max: 6.96Min: 5.2 / Avg: 5.2 / Max: 5.211. (CXX) g++ options: -fopenmp -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: EnhancedCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X901802703604502692983014071. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Bork File Encrypter

Bork is a small, cross-platform file encryption utility. It is written in Java and designed to be included along with the files it encrypts for long-term storage. This test measures the amount of time it takes to encrypt a sample file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBork File Encrypter 1.4File Encryption TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.055, N = 3SE +/- 0.051, N = 3SE +/- 0.105, N = 4SE +/- 0.035, N = 35.1757.8167.7807.606
OpenBenchmarking.orgSeconds, Fewer Is BetterBork File Encrypter 1.4File Encryption TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 5.09 / Avg: 5.18 / Max: 5.28Min: 7.73 / Avg: 7.82 / Max: 7.91Min: 7.57 / Avg: 7.78 / Max: 8.01Min: 7.55 / Avg: 7.61 / Max: 7.67

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-OnlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 0.98, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3162.99146.60141.23107.97
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 161.05 / Avg: 162.99 / Max: 164.18Min: 146.41 / Avg: 146.6 / Max: 146.93Min: 140.95 / Avg: 141.23 / Max: 141.54Min: 107.94 / Avg: 107.97 / Max: 107.98

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: SlowCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 36.807.377.5610.261. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 6.78 / Avg: 6.8 / Max: 6.85Min: 7.35 / Avg: 7.37 / Max: 7.39Min: 7.56 / Avg: 7.56 / Max: 7.57Min: 10.24 / Avg: 10.26 / Max: 10.291. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 9 3900XRyzen 9 3900XTRyzen 9 3950X8K16K24K32K40KSE +/- 25.33, N = 3SE +/- 29.89, N = 3SE +/- 98.83, N = 3SE +/- 34.63, N = 325630.0136851.9035670.0138565.531. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X7K14K21K28K35KMin: 25580.24 / Avg: 25630.01 / Max: 25663.08Min: 36800.26 / Avg: 36851.9 / Max: 36903.79Min: 35474.9 / Avg: 35670.01 / Max: 35795Min: 38496.47 / Avg: 38565.53 / Max: 38604.61. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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: Noise-GaussianCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X100200300400500SE +/- 0.33, N = 33153683664721. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X80160240320400Min: 366 / Avg: 366.33 / Max: 3671. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.967.517.7110.401. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 6.94 / Avg: 6.96 / Max: 7Min: 7.49 / Avg: 7.51 / Max: 7.52Min: 7.69 / Avg: 7.71 / Max: 7.73Min: 10.4 / Avg: 10.4 / Max: 10.411. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 318.324.725.127.3
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 18.2 / Avg: 18.27 / Max: 18.3Min: 24.6 / Avg: 24.73 / Max: 25Min: 24.9 / Avg: 25.13 / Max: 25.5Min: 27.1 / Avg: 27.27 / Max: 27.4

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: DLSCCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.74031.48062.22092.96123.7015SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.212.402.503.29MIN: 2.12 / MAX: 2.33MIN: 2.29 / MAX: 2.49MIN: 2.39 / MAX: 2.58MIN: 3.15 / MAX: 3.44
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 2.18 / Avg: 2.21 / Max: 2.26Min: 2.38 / Avg: 2.4 / Max: 2.41Min: 2.48 / Avg: 2.5 / Max: 2.51Min: 3.27 / Avg: 3.29 / Max: 3.32

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 MaterialCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200178.12161.51156.53119.86

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: HairCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 320.0717.9317.3813.54-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
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 20 / Avg: 20.07 / Max: 20.21Min: 17.91 / Avg: 17.93 / Max: 17.95Min: 17.26 / Avg: 17.38 / Max: 17.5Min: 13.53 / Avg: 13.54 / Max: 13.561. (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

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 PrismCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.8191.6382.4573.2764.095SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 32.462.642.733.64MIN: 2.39 / MAX: 2.52MIN: 2.59 / MAX: 2.68MIN: 2.68 / MAX: 2.76MIN: 3.55 / MAX: 3.67
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 2.43 / Avg: 2.46 / Max: 2.49Min: 2.63 / Avg: 2.64 / Max: 2.66Min: 2.72 / Avg: 2.73 / Max: 2.73Min: 3.61 / Avg: 3.64 / Max: 3.65

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 3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1122334455SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 346.5441.2740.6731.651. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645Min: 46.53 / Avg: 46.54 / Max: 46.55Min: 41.14 / Avg: 41.27 / Max: 41.44Min: 40.66 / Avg: 40.67 / Max: 40.67Min: 31.58 / Avg: 31.65 / Max: 31.761. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X11M22M33M44M55MSE +/- 66368.72, N = 3SE +/- 69587.97, N = 3SE +/- 140100.66, N = 3SE +/- 127032.63, N = 3357268133812431138915395524073671. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X9M18M27M36M45MMin: 35626785 / Avg: 35726813 / Max: 35852393Min: 37992306 / Avg: 38124311.33 / Max: 38228503Min: 38724178 / Avg: 38915395.33 / Max: 39188378Min: 52267350 / Avg: 52407367.33 / Max: 526609741. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.08312.16623.24934.33245.4155SE +/- 0.01927, N = 3SE +/- 0.04241, N = 7SE +/- 0.01604, N = 3SE +/- 0.03194, N = 33.285623.800314.813804.03926MIN: 3.02MIN: 3.45MIN: 4.58MIN: 3.771. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 3.25 / Avg: 3.29 / Max: 3.31Min: 3.69 / Avg: 3.8 / Max: 4.01Min: 4.78 / Avg: 4.81 / Max: 4.84Min: 3.98 / Avg: 4.04 / Max: 4.091. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 317.3321.7721.6325.391. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 17.31 / Avg: 17.33 / Max: 17.37Min: 21.76 / Avg: 21.77 / Max: 21.78Min: 21.6 / Avg: 21.63 / Max: 21.68Min: 25.36 / Avg: 25.39 / Max: 25.411. (CXX) g++ options: -O2 -lOpenCL

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: 2D Function Plotting, 1000 TimesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150SE +/- 0.93, N = 3SE +/- 0.35, N = 3SE +/- 0.29, N = 3SE +/- 0.49, N = 386.15115.59116.25126.011. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 85.15 / Avg: 86.15 / Max: 88.02Min: 114.89 / Avg: 115.59 / Max: 116.01Min: 115.7 / Avg: 116.25 / Max: 116.69Min: 125.5 / Avg: 126.01 / Max: 126.991. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 9 3900XRyzen 9 3900XTRyzen 9 3950X1.2692.5383.8075.0766.345SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.643.893.993.861. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 5.63 / Avg: 5.64 / Max: 5.65Min: 3.88 / Avg: 3.89 / Max: 3.9Min: 3.98 / Avg: 3.99 / Max: 3.99Min: 3.86 / Avg: 3.86 / Max: 3.871. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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: googlenetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 313.2817.3817.3119.24MIN: 12.98 / MAX: 14.24MIN: 16.96 / MAX: 17.94MIN: 16.92 / MAX: 19.54MIN: 18.5 / MAX: 19.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 13.25 / Avg: 13.28 / Max: 13.3Min: 17.37 / Avg: 17.38 / Max: 17.38Min: 17.3 / Avg: 17.31 / Max: 17.31Min: 19.12 / Avg: 19.24 / Max: 19.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X400800120016002000SE +/- 0.67, N = 3SE +/- 2.03, N = 3SE +/- 1.73, N = 312641432141518291. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30060090012001500Min: 1263 / Avg: 1263.67 / Max: 1265Min: 1428 / Avg: 1431.67 / Max: 1435Min: 1826 / Avg: 1829 / Max: 18321. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3K6K9K12K15KSE +/- 69.83, N = 3SE +/- 28.66, N = 3SE +/- 3.76, N = 3SE +/- 34.34, N = 39817.409125.698748.7912650.241. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2K4K6K8K10KMin: 9677.91 / Avg: 9817.4 / Max: 9893.09Min: 9092.63 / Avg: 9125.69 / Max: 9182.78Min: 8741.34 / Avg: 8748.79 / Max: 8753.43Min: 12612.9 / Avg: 12650.24 / Max: 12718.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X60120180240300SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 31751841872521. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X50100150200250Min: 184 / Avg: 184.33 / Max: 185Min: 187 / Avg: 187.33 / Max: 188Min: 252 / Avg: 252.33 / Max: 2531. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X70140210280350299.91267.07259.33208.36

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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X6K12K18K24K30KSE +/- 95.40, N = 3SE +/- 51.29, N = 3SE +/- 54.08, N = 3SE +/- 105.68, N = 319765209102151728416
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X5K10K15K20K25KMin: 19586 / Avg: 19764.67 / Max: 19912Min: 20826 / Avg: 20910 / Max: 21003Min: 21433 / Avg: 21517 / Max: 21618Min: 28242 / Avg: 28416.33 / Max: 28607

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 TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 333.7331.5330.5823.511. (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
OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835Min: 33.24 / Avg: 33.73 / Max: 34.04Min: 31.5 / Avg: 31.53 / Max: 31.59Min: 30.51 / Avg: 30.58 / Max: 30.69Min: 23.43 / Avg: 23.51 / Max: 23.571. (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

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X160K320K480K640K800KSE +/- 3986.75, N = 3SE +/- 1752.09, N = 3SE +/- 1518.85, N = 3SE +/- 1082.90, N = 3509313.93521713.10531877.74726166.541. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X130K260K390K520K650KMin: 502134.07 / Avg: 509313.93 / Max: 515907.14Min: 518619.89 / Avg: 521713.1 / Max: 524685.74Min: 529022.78 / Avg: 531877.74 / Max: 534203.89Min: 724145.73 / Avg: 726166.54 / Max: 727851.71. (CC) gcc options: -O2 -lrt" -lrt

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20K40K60K80K100KSE +/- 271.18, N = 3SE +/- 97.95, N = 3SE +/- 46.94, N = 3SE +/- 37.78, N = 3753131073561058031056171. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20K40K60K80K100KMin: 74772 / Avg: 75312.67 / Max: 75620Min: 107245 / Avg: 107355.67 / Max: 107551Min: 105718 / Avg: 105803 / Max: 105880Min: 105548 / Avg: 105617.33 / Max: 1056781. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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: linpkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.72451.4492.17352.8983.62252.283.203.223.03

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 LavaMDCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 0.85, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3170.15164.71159.41120.531. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 169.27 / Avg: 170.15 / Max: 171.85Min: 164.59 / Avg: 164.71 / Max: 164.84Min: 158.99 / Avg: 159.41 / Max: 159.74Min: 120.25 / Avg: 120.53 / Max: 120.71. (CXX) g++ options: -O2 -lOpenCL

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: MD5Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X400K800K1200K1600K2000KSE +/- 10837.18, N = 3SE +/- 1201.85, N = 3SE +/- 1666.67, N = 3SE +/- 9609.02, N = 313313331366667141366718680001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X300K600K900K1200K1500KMin: 1320000 / Avg: 1331333.33 / Max: 1353000Min: 1365000 / Avg: 1366666.67 / Max: 1369000Min: 1412000 / Avg: 1413666.67 / Max: 1417000Min: 1849000 / Avg: 1868000 / Max: 18800001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

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-OnlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150SE +/- 0.13, N = 3SE +/- 0.32, N = 3SE +/- 0.35, N = 3SE +/- 0.28, N = 3114.70111.61106.8081.77
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 114.46 / Avg: 114.7 / Max: 114.88Min: 111.03 / Avg: 111.61 / Max: 112.12Min: 106.22 / Avg: 106.8 / Max: 107.44Min: 81.43 / Avg: 81.77 / Max: 82.33

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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3K6K9K12K15KSE +/- 17.62, N = 3SE +/- 41.23, N = 3SE +/- 36.37, N = 3SE +/- 122.60, N = 39817.089097.748760.8412280.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2K4K6K8K10KMin: 9786.88 / Avg: 9817.08 / Max: 9847.92Min: 9028.98 / Avg: 9097.74 / Max: 9171.53Min: 8689.71 / Avg: 8760.84 / Max: 8809.57Min: 12100.42 / Avg: 12280.85 / Max: 12514.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -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 CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 329.0425.7725.0620.78
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 28.97 / Avg: 29.04 / Max: 29.08Min: 25.69 / Avg: 25.77 / Max: 25.84Min: 25.04 / Avg: 25.06 / Max: 25.09Min: 20.72 / Avg: 20.78 / Max: 20.85

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 TestCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20K40K60K80K100KSE +/- 35.83, N = 3SE +/- 286.83, N = 3SE +/- 28.54, N = 3SE +/- 191.60, N = 3647727690977550900711. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X16K32K48K64K80KMin: 64730 / Avg: 64771.67 / Max: 64843Min: 76339 / Avg: 76908.67 / Max: 77252Min: 77516 / Avg: 77550.33 / Max: 77607Min: 89770 / Avg: 90071.33 / Max: 904271. (CXX) g++ options: -pipe -lpthread

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 CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X110220330440550SE +/- 2.33, N = 3SE +/- 3.29, N = 3SE +/- 2.72, N = 3SE +/- 4.14, N = 3506.57446.18432.30364.33
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X90180270360450Min: 502.06 / Avg: 506.57 / Max: 509.8Min: 441.82 / Avg: 446.18 / Max: 452.62Min: 428.79 / Avg: 432.3 / Max: 437.66Min: 356.08 / Avg: 364.33 / Max: 369.01

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: HWB Color SpaceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X400800120016002000SE +/- 3.84, N = 3SE +/- 2.00, N = 3SE +/- 3.93, N = 312141475135916871. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30060090012001500Min: 1210 / Avg: 1214.33 / Max: 1222Min: 1355 / Avg: 1359 / Max: 1361Min: 1682 / Avg: 1687.33 / Max: 16951. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X6K12K18K24K30KSE +/- 35.89, N = 3SE +/- 49.65, N = 3SE +/- 62.78, N = 3SE +/- 35.59, N = 3235912024420729280961. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X5K10K15K20K25KMin: 23520 / Avg: 23591.33 / Max: 23634Min: 20174 / Avg: 20244 / Max: 20340Min: 20628 / Avg: 20728.67 / Max: 20844Min: 28051 / Avg: 28095.67 / Max: 281661. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

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 2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 325.1822.8822.6318.301. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 25.17 / Avg: 25.18 / Max: 25.18Min: 22.86 / Avg: 22.88 / Max: 22.92Min: 22.55 / Avg: 22.63 / Max: 22.72Min: 18.22 / Avg: 18.3 / Max: 18.431. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 1.5.2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X13K26K39K52K65KSE +/- 14.95, N = 3SE +/- 45.94, N = 3SE +/- 14.11, N = 3SE +/- 24.81, N = 345909.6542773.9743919.3158788.471. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X10K20K30K40K50KMin: 45888.8 / Avg: 45909.65 / Max: 45938.64Min: 42728.02 / Avg: 42773.97 / Max: 42865.85Min: 43901.61 / Avg: 43919.31 / Max: 43947.19Min: 58750.5 / Avg: 58788.47 / Max: 58835.111. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

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 SceneCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.56, N = 3SE +/- 0.49, N = 3109.47103.71100.5579.701. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 109.08 / Avg: 109.47 / Max: 109.71Min: 103.22 / Avg: 103.71 / Max: 104.14Min: 99.68 / Avg: 100.55 / Max: 101.6Min: 78.73 / Avg: 79.7 / Max: 80.331. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X90180270360450SE +/- 0.76, N = 3SE +/- 0.55, N = 3SE +/- 0.48, N = 3SE +/- 0.20, N = 3427.29311.43311.23316.331. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X80160240320400Min: 426.08 / Avg: 427.29 / Max: 428.69Min: 310.4 / Avg: 311.43 / Max: 312.25Min: 310.3 / Avg: 311.23 / Max: 311.87Min: 316 / Avg: 316.33 / Max: 316.691. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Optcarrot

Optcarrot is an NES emulator benchmark for the Ruby language. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized BenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 0.69, N = 4SE +/- 0.59, N = 4SE +/- 1.10, N = 14SE +/- 0.19, N = 4185.29138.56139.43135.441. ruby 2.7.0p0 (2019-12-25 revision 647ee6f091) [x86_64-linux-gnu]
OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized BenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 183.71 / Avg: 185.29 / Max: 186.85Min: 136.92 / Avg: 138.56 / Max: 139.62Min: 134.7 / Avg: 139.43 / Max: 145.13Min: 134.89 / Avg: 135.44 / Max: 135.741. ruby 2.7.0p0 (2019-12-25 revision 647ee6f091) [x86_64-linux-gnu]

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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.15080.30160.45240.60320.754SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.490.650.670.621. (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 FP32 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 0.48 / Avg: 0.49 / Max: 0.5Min: 0.64 / Avg: 0.65 / Max: 0.65Min: 0.67 / Avg: 0.67 / Max: 0.67Min: 0.62 / Avg: 0.62 / Max: 0.621. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.15080.30160.45240.60320.754SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.490.650.670.641. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.67 / Avg: 0.67 / Max: 0.68Min: 0.62 / Avg: 0.64 / Max: 0.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 315.4215.6616.0921.04MIN: 14.96 / MAX: 15.79MIN: 15.48 / MAX: 16.06MIN: 15.89 / MAX: 16.56MIN: 20.83 / MAX: 21.49
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 15.39 / Avg: 15.42 / Max: 15.45Min: 15.59 / Avg: 15.66 / Max: 15.77Min: 16.02 / Avg: 16.09 / Max: 16.18Min: 20.97 / Avg: 21.04 / Max: 21.1

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 DepthCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X11M22M33M44M55MSE +/- 439150.46, N = 3SE +/- 139565.35, N = 3SE +/- 457800.10, N = 3SE +/- 711272.98, N = 440392459388368734008230952929484
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X9M18M27M36M45MMin: 39823314 / Avg: 40392458.67 / Max: 41256354Min: 38652044 / Avg: 38836872.67 / Max: 39110434Min: 39168312 / Avg: 40082308.67 / Max: 40586215Min: 51785361 / Avg: 52929484 / Max: 54947247

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 PerformanceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X10002000300040005000SE +/- 13.38, N = 3SE +/- 1.56, N = 3SE +/- 2.69, N = 3SE +/- 0.54, N = 33712.33489.83551.04743.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X8001600240032004000Min: 3698.8 / Avg: 3712.33 / Max: 3739.1Min: 3487.9 / Avg: 3489.8 / Max: 3492.9Min: 3546 / Avg: 3551.03 / Max: 3555.2Min: 4742.8 / Avg: 4743.43 / Max: 4744.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.17682.35363.53044.70725.884SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 33.864.794.825.23MIN: 3.79 / MAX: 4.96MIN: 4.69 / MAX: 5.79MIN: 4.73 / MAX: 5.95MIN: 5.09 / MAX: 5.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 3.83 / Avg: 3.86 / Max: 3.88Min: 4.75 / Avg: 4.79 / Max: 4.83Min: 4.79 / Avg: 4.82 / Max: 4.84Min: 5.16 / Avg: 5.23 / Max: 5.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X60K120K180K240K300KSE +/- 174.69, N = 3SE +/- 477.83, N = 3SE +/- 462.71, N = 3SE +/- 702.33, N = 31960742627382589722651311. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X50K100K150K200K250KMin: 195812 / Avg: 196073.67 / Max: 196405Min: 262077 / Avg: 262737.67 / Max: 263666Min: 258200 / Avg: 258972.33 / Max: 259800Min: 263790 / Avg: 265130.67 / Max: 2661641. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X160320480640800SE +/- 1.36, N = 3SE +/- 1.54, N = 3SE +/- 2.12, N = 3SE +/- 2.57, N = 3738.43548.54546.11580.89MIN: 636.44 / MAX: 802.81MIN: 418.33 / MAX: 592.02MIN: 404.56 / MAX: 590.53MIN: 405.32 / MAX: 633.031. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X130260390520650Min: 736.77 / Avg: 738.43 / Max: 741.12Min: 546.14 / Avg: 548.54 / Max: 551.42Min: 541.86 / Avg: 546.11 / Max: 548.31Min: 575.81 / Avg: 580.89 / Max: 584.121. (CC) gcc options: -pthread

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 CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1428425670SE +/- 0.50, N = 3SE +/- 0.50, N = 3SE +/- 0.60, N = 3SE +/- 0.56, N = 363.9557.9156.7847.36
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1326395265Min: 63.17 / Avg: 63.95 / Max: 64.89Min: 57.37 / Avg: 57.91 / Max: 58.91Min: 55.77 / Avg: 56.78 / Max: 57.83Min: 46.57 / Avg: 47.36 / Max: 48.44

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 MetricCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X50K100K150K200K250K183810183744188522248077-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

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 AtomsCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.34760.69521.04281.39041.738SE +/- 0.00955, N = 3SE +/- 0.00121, N = 3SE +/- 0.00173, N = 3SE +/- 0.00338, N = 31.236071.544881.495261.14997
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 1.22 / Avg: 1.24 / Max: 1.25Min: 1.54 / Avg: 1.54 / Max: 1.55Min: 1.49 / Avg: 1.5 / Max: 1.5Min: 1.14 / Avg: 1.15 / Max: 1.15

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2004006008001000SE +/- 1.31, N = 3SE +/- 1.67, N = 3SE +/- 0.26, N = 3SE +/- 1.50, N = 3785.87586.78585.47619.21MIN: 607.56 / MAX: 1067.02MIN: 461.53 / MAX: 717.45MIN: 461.07 / MAX: 715.8MIN: 475.8 / MAX: 778.141. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X140280420560700Min: 783.96 / Avg: 785.87 / Max: 788.39Min: 584.06 / Avg: 586.78 / Max: 589.83Min: 585.02 / Avg: 585.47 / Max: 585.93Min: 616.85 / Avg: 619.21 / Max: 621.981. (CC) gcc options: -pthread

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 CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 344.8740.4839.5233.47
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645Min: 44.75 / Avg: 44.87 / Max: 44.93Min: 40.38 / Avg: 40.48 / Max: 40.59Min: 39.36 / Avg: 39.52 / Max: 39.71Min: 33.28 / Avg: 33.47 / Max: 33.67

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: vklBenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X50100150200250SE +/- 0.35, N = 3SE +/- 0.24, N = 3SE +/- 0.49, N = 3SE +/- 0.73, N = 3192.75177.75182.97236.58MIN: 1 / MAX: 767MIN: 1 / MAX: 634MIN: 1 / MAX: 652MIN: 1 / MAX: 853
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200Min: 192.25 / Avg: 192.75 / Max: 193.42Min: 177.33 / Avg: 177.75 / Max: 178.17Min: 182 / Avg: 182.97 / Max: 183.58Min: 235.58 / Avg: 236.58 / Max: 238

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: CrownCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 317.7014.9615.2919.87MIN: 17.49 / MAX: 18.13MIN: 14.82 / MAX: 15.29MIN: 15.12 / MAX: 15.64MIN: 19.42 / MAX: 20.41
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 17.64 / Avg: 17.7 / Max: 17.74Min: 14.93 / Avg: 14.96 / Max: 14.99Min: 15.24 / Avg: 15.29 / Max: 15.31Min: 19.56 / Avg: 19.87 / Max: 20.04

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 TesterCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200166.41160.13155.82125.26

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: FLOATCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X110M220M330M440M550MSE +/- 667086.01, N = 3SE +/- 425188.38, N = 3SE +/- 3810394.29, N = 3SE +/- 265333.27, N = 3511718743.40401445819.03385672695.95406108737.681. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X90M180M270M360M450MMin: 510397230.92 / Avg: 511718743.4 / Max: 512538291.31Min: 400602356.14 / Avg: 401445819.03 / Max: 401961269.42Min: 378051925.06 / Avg: 385672695.95 / Max: 389497301.13Min: 405579047.72 / Avg: 406108737.68 / Max: 406401451.131. (CC) gcc options: -O3 -march=native -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 1080p - Video Preset: SlowCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 328.3927.3427.6636.261. (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: SlowCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240Min: 28.31 / Avg: 28.39 / Max: 28.47Min: 27.29 / Avg: 27.34 / Max: 27.38Min: 27.59 / Avg: 27.66 / Max: 27.71Min: 36.21 / Avg: 36.26 / Max: 36.31. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Tungsten Renderer

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.30712.61423.92135.22846.5355SE +/- 0.01251, N = 3SE +/- 0.00415, N = 3SE +/- 0.08565, N = 14SE +/- 0.00924, N = 35.146035.809235.793384.38473-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
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 5.13 / Avg: 5.15 / Max: 5.17Min: 5.8 / Avg: 5.81 / Max: 5.82Min: 5.69 / Avg: 5.79 / Max: 6.91Min: 4.38 / Avg: 4.38 / Max: 4.41. (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

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X200K400K600K800K1000KSE +/- 1239.26, N = 3SE +/- 11486.10, N = 3SE +/- 8247.81, N = 5SE +/- 9686.30, N = 3882794666832690442689872
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X150K300K450K600K750KMin: 880591 / Avg: 882794.33 / Max: 884879Min: 645060 / Avg: 666832.33 / Max: 684064Min: 657976 / Avg: 690442.2 / Max: 703664Min: 670922 / Avg: 689871.67 / Max: 702833

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 CausticCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.01244, N = 3SE +/- 0.01161, N = 3SE +/- 0.01628, N = 3SE +/- 0.00557, N = 37.007287.421957.249605.61440-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
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 6.99 / Avg: 7.01 / Max: 7.03Min: 7.4 / Avg: 7.42 / Max: 7.44Min: 7.22 / Avg: 7.25 / Max: 7.28Min: 5.61 / Avg: 5.61 / Max: 5.631. (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 1080p - Video Preset: MediumCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 329.3628.1328.5637.161. (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: MediumCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240Min: 29.32 / Avg: 29.36 / Max: 29.41Min: 28.11 / Avg: 28.13 / Max: 28.15Min: 28.45 / Avg: 28.56 / Max: 28.67Min: 37.14 / Avg: 37.16 / Max: 37.171. (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: resnet18Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 313.5616.7016.4817.91MIN: 13.34 / MAX: 23.75MIN: 16.36 / MAX: 72.05MIN: 16.31 / MAX: 28.36MIN: 17.65 / MAX: 28.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 13.52 / Avg: 13.56 / Max: 13.59Min: 16.56 / Avg: 16.7 / Max: 16.95Min: 16.43 / Avg: 16.48 / Max: 16.51Min: 17.78 / Avg: 17.91 / Max: 18.071. (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 6 RealtimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.21, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 325.6719.8219.6419.471. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 25.33 / Avg: 25.67 / Max: 26.05Min: 19.7 / Avg: 19.82 / Max: 20.04Min: 19.58 / Avg: 19.64 / Max: 19.69Min: 19.33 / Avg: 19.47 / Max: 19.651. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.73451.4692.20352.9383.6725SE +/- 0.01117, N = 3SE +/- 0.03302, N = 3SE +/- 0.00634, N = 3SE +/- 0.00820, N = 32.962533.264373.153042.47606MIN: 2.92MIN: 3.14MIN: 3.08MIN: 2.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 2.95 / Avg: 2.96 / Max: 2.98Min: 3.2 / Avg: 3.26 / Max: 3.31Min: 3.14 / Avg: 3.15 / Max: 3.16Min: 2.47 / Avg: 2.48 / Max: 2.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 369.9062.5063.2682.241. (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 FastCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1632486480Min: 69.84 / Avg: 69.9 / Max: 69.94Min: 62.33 / Avg: 62.5 / Max: 62.62Min: 63.1 / Avg: 63.26 / Max: 63.51Min: 82.13 / Avg: 82.24 / Max: 82.361. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

ACES DGEMM

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

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.23232.46463.69694.92926.1615SE +/- 0.042599, N = 3SE +/- 0.046914, N = 7SE +/- 0.056961, N = 3SE +/- 0.064485, N = 155.3032404.1679654.2365345.4767331. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 5.22 / Avg: 5.3 / Max: 5.35Min: 4.01 / Avg: 4.17 / Max: 4.36Min: 4.13 / Avg: 4.24 / Max: 4.31Min: 5.09 / Avg: 5.48 / Max: 5.891. (CC) gcc options: -O3 -march=native -fopenmp

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 DragonCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 320.4316.5316.8321.66MIN: 20.28 / MAX: 20.88MIN: 15.44 / MAX: 17.03MIN: 16.65 / MAX: 17.13MIN: 21.35 / MAX: 22.34
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 20.4 / Avg: 20.43 / Max: 20.46Min: 16.18 / Avg: 16.53 / Max: 16.8Min: 16.75 / Avg: 16.83 / Max: 16.9Min: 21.47 / Avg: 21.66 / Max: 21.98

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: 19Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 330.338.738.939.51. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240Min: 30.3 / Avg: 30.33 / Max: 30.4Min: 38.6 / Avg: 38.7 / Max: 38.8Min: 38.9 / Avg: 38.9 / Max: 38.9Min: 39.5 / Avg: 39.53 / Max: 39.61. (CC) gcc options: -O3 -pthread -lz -llzma

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 FastCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 335.2536.0836.8745.921. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645Min: 35.17 / Avg: 35.25 / Max: 35.3Min: 35.97 / Avg: 36.08 / Max: 36.28Min: 36.75 / Avg: 36.87 / Max: 37.02Min: 45.62 / Avg: 45.92 / Max: 46.181. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: RotateCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2004006008001000SE +/- 1.20, N = 3SE +/- 12.84, N = 3SE +/- 9.68, N = 39457667267991. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X170340510680850Min: 943 / Avg: 944.67 / Max: 947Min: 740 / Avg: 765.67 / Max: 779Min: 715 / Avg: 725.67 / Max: 7451. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 317.6316.8416.9921.87MIN: 17.35 / MAX: 18.02MIN: 16.53 / MAX: 17.33MIN: 16.82 / MAX: 17.33MIN: 21.44 / MAX: 22.58
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 17.42 / Avg: 17.63 / Max: 17.77Min: 16.63 / Avg: 16.84 / Max: 17.02Min: 16.92 / Avg: 16.99 / Max: 17.08Min: 21.58 / Avg: 21.87 / Max: 22.13

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 ChangepointCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240SE +/- 0.34, N = 15SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 333.1428.1326.8625.66
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835Min: 31.23 / Avg: 33.14 / Max: 35.04Min: 27.86 / Avg: 28.13 / Max: 28.54Min: 26.67 / Avg: 26.85 / Max: 26.95Min: 25.43 / Avg: 25.66 / Max: 25.8

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 RealtimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1122334455SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 349.0438.0338.3238.901. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050Min: 48.9 / Avg: 49.04 / Max: 49.25Min: 37.78 / Avg: 38.03 / Max: 38.24Min: 38.1 / Avg: 38.32 / Max: 38.71Min: 38.51 / Avg: 38.9 / Max: 39.241. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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 EncodingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 1.27, N = 3SE +/- 1.56, N = 3SE +/- 2.00, N = 4SE +/- 1.78, N = 3126.19136.32139.09162.491. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 123.68 / Avg: 126.19 / Max: 127.72Min: 133.22 / Avg: 136.32 / Max: 138.16Min: 133.14 / Avg: 139.09 / Max: 141.7Min: 158.99 / Avg: 162.49 / Max: 164.771. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

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-v3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.15882.31763.47644.63525.794SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 34.004.754.755.15MIN: 3.91 / MAX: 4.67MIN: 4.68 / MAX: 5.93MIN: 4.7 / MAX: 5.67MIN: 5.03 / MAX: 5.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 3.98 / Avg: 4 / Max: 4.01Min: 4.73 / Avg: 4.75 / Max: 4.76Min: 4.74 / Avg: 4.75 / Max: 4.76Min: 5.09 / Avg: 5.15 / Max: 5.211. (CXX) g++ options: -O3 -rdynamic -lgomp -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: Very FastCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 319.5720.6421.1625.171. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 19.43 / Avg: 19.57 / Max: 19.71Min: 20.6 / Avg: 20.64 / Max: 20.68Min: 21.12 / Avg: 21.16 / Max: 21.19Min: 25.14 / Avg: 25.17 / Max: 25.211. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.75151.5032.25453.0063.7575SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.342.782.623.251. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 3.33 / Avg: 3.34 / Max: 3.35Min: 2.76 / Avg: 2.78 / Max: 2.79Min: 2.61 / Avg: 2.62 / Max: 2.63Min: 3.25 / Avg: 3.25 / Max: 3.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Monte Carlo Simulations of Ionised Nebulae

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X50100150200250SE +/- 0.33, N = 3SE +/- 0.33, N = 31662112051991. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200Min: 210 / Avg: 210.67 / Max: 211Min: 204 / Avg: 204.67 / Max: 2051. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.44780.89561.34341.79122.2391.991.601.571.59

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: VGG16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 317.9717.9518.4822.74
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 17.84 / Avg: 17.97 / Max: 18.09Min: 17.73 / Avg: 17.95 / Max: 18.1Min: 18.15 / Avg: 18.48 / Max: 18.68Min: 22.38 / Avg: 22.74 / Max: 23

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 BenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.27810.55620.83431.11241.3905SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.9771.1331.1361.2361. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 0.97 / Avg: 0.98 / Max: 0.99Min: 1.13 / Avg: 1.13 / Max: 1.13Min: 1.13 / Avg: 1.14 / Max: 1.14Min: 1.23 / Avg: 1.24 / Max: 1.241. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 314.9815.0715.0618.94
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 14.76 / Avg: 14.98 / Max: 15.17Min: 14.82 / Avg: 15.07 / Max: 15.24Min: 14.95 / Avg: 15.06 / Max: 15.25Min: 18.85 / Avg: 18.94 / Max: 19.01

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.74031.48062.22092.96123.7015SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 33.292.782.613.271. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 3.28 / Avg: 3.29 / Max: 3.29Min: 2.78 / Avg: 2.78 / Max: 2.78Min: 2.61 / Avg: 2.61 / Max: 2.62Min: 3.24 / Avg: 3.27 / Max: 3.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30K60K90K120K150KSE +/- 273.40, N = 3SE +/- 186.00, N = 3SE +/- 739.92, N = 3SE +/- 197.01, N = 3147694140368139014117199
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30K60K90K120K150KMin: 147283 / Avg: 147694.33 / Max: 148212Min: 139997 / Avg: 140368 / Max: 140577Min: 138173 / Avg: 139014 / Max: 140489Min: 116879 / Avg: 117198.67 / Max: 117558

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.54681.09361.64042.18722.734SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.932.071.992.431. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 1.91 / Avg: 1.93 / Max: 1.94Min: 2.06 / Avg: 2.07 / Max: 2.08Min: 1.98 / Avg: 1.99 / Max: 2Min: 2.42 / Avg: 2.43 / Max: 2.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.54681.09361.64042.18722.734SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 31.932.101.972.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 1.93 / Avg: 1.93 / Max: 1.94Min: 2.09 / Avg: 2.1 / Max: 2.1Min: 1.95 / Avg: 1.97 / Max: 2Min: 2.4 / Avg: 2.43 / Max: 2.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X70140210280350SE +/- 2.33, N = 3SE +/- 4.54, N = 3SE +/- 2.39, N = 3SE +/- 1.69, N = 3340.68280.25270.84280.031. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X60120180240300Min: 338.01 / Avg: 340.68 / Max: 345.32Min: 274.7 / Avg: 280.25 / Max: 289.24Min: 266.07 / Avg: 270.84 / Max: 273.34Min: 276.69 / Avg: 280.03 / Max: 282.111. chrome 86.0.4240.75

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-v3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645SE +/- 0.13, N = 3SE +/- 0.15, N = 8SE +/- 0.16, N = 3SE +/- 0.28, N = 329.4331.5532.4836.98MIN: 29.01 / MAX: 39.64MIN: 30.42 / MAX: 44.63MIN: 31.9 / MAX: 45.8MIN: 35.45 / MAX: 47.521. (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: inception-v3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240Min: 29.3 / Avg: 29.43 / Max: 29.68Min: 30.95 / Avg: 31.55 / Max: 32.15Min: 32.22 / Avg: 32.48 / Max: 32.78Min: 36.43 / Avg: 36.98 / Max: 37.331. (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

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 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.23752.4753.71254.956.1875SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 35.54.44.44.51. firefox 81.0
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 5.5 / Avg: 5.5 / Max: 5.5Min: 4.3 / Avg: 4.37 / Max: 4.4Min: 4.4 / Avg: 4.4 / Max: 4.4Min: 4.4 / Avg: 4.47 / Max: 4.51. firefox 81.0

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X7001400210028003500SE +/- 2.67, N = 3SE +/- 1.01, N = 3SE +/- 18.36, N = 3SE +/- 36.61, N = 32567.702824.052997.793197.551. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X6001200180024003000Min: 2562.38 / Avg: 2567.7 / Max: 2570.81Min: 2822.16 / Avg: 2824.05 / Max: 2825.62Min: 2961.08 / Avg: 2997.79 / Max: 3017.06Min: 3124.44 / Avg: 3197.55 / Max: 3237.581. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3129.64117.56119.07145.911. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 129.42 / Avg: 129.64 / Max: 129.79Min: 117.16 / Avg: 117.56 / Max: 117.9Min: 118.75 / Avg: 119.07 / Max: 119.27Min: 145.74 / Avg: 145.91 / Max: 146.131. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 MappingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2004006008001000SE +/- 1.29, N = 3SE +/- 0.83, N = 3SE +/- 1.39, N = 3SE +/- 1.05, N = 3706.15670.09684.39829.791. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X150300450600750Min: 703.58 / Avg: 706.15 / Max: 707.46Min: 668.67 / Avg: 670.09 / Max: 671.55Min: 681.71 / Avg: 684.39 / Max: 686.39Min: 828.57 / Avg: 829.79 / Max: 831.881. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

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 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 1.00, N = 3SE +/- 0.32, N = 3SE +/- 0.37, N = 3SE +/- 0.51, N = 378.0265.3765.5863.23
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1530456075Min: 77.02 / Avg: 78.02 / Max: 80.01Min: 65.04 / Avg: 65.37 / Max: 66.02Min: 64.86 / Avg: 65.58 / Max: 66.08Min: 62.49 / Avg: 63.23 / Max: 64.2

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: MemorialCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 311.1011.0410.4612.89
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 11.09 / Avg: 11.1 / Max: 11.1Min: 11.01 / Avg: 11.04 / Max: 11.07Min: 10.4 / Avg: 10.46 / Max: 10.51Min: 12.85 / Avg: 12.89 / Max: 12.91

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X7001400210028003500SE +/- 6.85, N = 3SE +/- 5.11, N = 3SE +/- 3.64, N = 3SE +/- 33.92, N = 32585.452848.822971.413185.291. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X6001200180024003000Min: 2573.82 / Avg: 2585.45 / Max: 2597.53Min: 2840.89 / Avg: 2848.82 / Max: 2858.36Min: 2967.45 / Avg: 2971.41 / Max: 2978.68Min: 3123.67 / Avg: 3185.29 / Max: 3240.691. (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: resnet50Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 324.2827.8227.6629.91MIN: 23.97 / MAX: 25.62MIN: 27.35 / MAX: 28.71MIN: 27.41 / MAX: 33.56MIN: 29.44 / MAX: 31.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835Min: 24.22 / Avg: 24.28 / Max: 24.37Min: 27.54 / Avg: 27.82 / Max: 28.2Min: 27.61 / Avg: 27.66 / Max: 27.71Min: 29.71 / Avg: 29.91 / Max: 30.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.1972.3943.5914.7885.985SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.013, N = 34.3204.4114.4935.3201. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 4.31 / Avg: 4.32 / Max: 4.33Min: 4.41 / Avg: 4.41 / Max: 4.42Min: 4.48 / Avg: 4.49 / Max: 4.51Min: 5.3 / Avg: 5.32 / Max: 5.341. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 4KCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 318.8119.3719.6523.091. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 18.62 / Avg: 18.81 / Max: 18.93Min: 19.33 / Avg: 19.37 / Max: 19.39Min: 19.48 / Avg: 19.65 / Max: 19.98Min: 23 / Avg: 23.09 / Max: 23.171. (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: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.18212.36423.54634.72845.9105SE +/- 0.00812, N = 3SE +/- 0.00218, N = 3SE +/- 0.01077, N = 3SE +/- 0.00337, N = 34.787665.084605.253664.29713MIN: 4.68MIN: 5.02MIN: 5.14MIN: 4.21. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 4.77 / Avg: 4.79 / Max: 4.8Min: 5.08 / Avg: 5.08 / Max: 5.09Min: 5.24 / Avg: 5.25 / Max: 5.27Min: 4.29 / Avg: 4.3 / Max: 4.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 321.0618.5217.4117.241. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 21.03 / Avg: 21.06 / Max: 21.12Min: 18.5 / Avg: 18.52 / Max: 18.57Min: 16.99 / Avg: 17.41 / Max: 17.84Min: 17.12 / Avg: 17.24 / Max: 17.31. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - DegriddingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X5001000150020002500SE +/- 21.36, N = 3SE +/- 2.71, N = 15SE +/- 6.31, N = 6SE +/- 4.63, N = 32219.212347.982339.091924.761. (CXX) g++ options: -lpthread
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - DegriddingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X400800120016002000Min: 2182.43 / Avg: 2219.21 / Max: 2256.41Min: 2335.58 / Avg: 2347.98 / Max: 2356.25Min: 2315.27 / Avg: 2339.09 / Max: 2356.25Min: 1915.51 / Avg: 1924.76 / Max: 1929.391. (CXX) g++ options: -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 PNGCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 319.8624.2123.7823.921. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 19.76 / Avg: 19.86 / Max: 20.02Min: 24.07 / Avg: 24.21 / Max: 24.33Min: 23.56 / Avg: 23.78 / Max: 24.17Min: 23.64 / Avg: 23.92 / Max: 24.121. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

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 1,000Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1326395265SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.47, N = 3SE +/- 0.34, N = 346.5655.7856.7755.071. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1122334455Min: 46.49 / Avg: 46.56 / Max: 46.69Min: 55.6 / Avg: 55.78 / Max: 55.9Min: 55.86 / Avg: 56.77 / Max: 57.39Min: 54.43 / Avg: 55.07 / Max: 55.571. (CC) gcc options: -O2 -ldl -lz -lpthread

Selenium

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

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 0.77, N = 3SE +/- 0.43, N = 3SE +/- 0.32, N = 3105.0086.2786.7086.501. firefox 81.0
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 85.4 / Avg: 86.27 / Max: 87.81Min: 86.1 / Avg: 86.67 / Max: 87.5Min: 85.9 / Avg: 86.47 / Max: 871. firefox 81.0

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X90180270360450SE +/- 0.33, N = 3SE +/- 0.67, N = 3353428413417
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X80160240320400Min: 352 / Avg: 352.67 / Max: 353Min: 412 / Avg: 413.33 / Max: 414

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 39.2110.5910.6111.15
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 9.1 / Avg: 9.21 / Max: 9.27Min: 10.57 / Avg: 10.59 / Max: 10.64Min: 10.56 / Avg: 10.61 / Max: 10.68Min: 11.08 / Avg: 11.15 / Max: 11.19

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: 0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1632486480SE +/- 0.08, N = 3SE +/- 0.44, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 371.8668.1867.3059.401. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1428425670Min: 71.69 / Avg: 71.86 / Max: 71.96Min: 67.55 / Avg: 68.18 / Max: 69.03Min: 67.05 / Avg: 67.3 / Max: 67.5Min: 59.28 / Avg: 59.4 / Max: 59.491. (CXX) g++ options: -O3 -fPIC

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 SynthesisCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.18950.3790.56850.7580.9475SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 30.7810.8420.8050.697MIN: 0.71 / MAX: 1.21MIN: 0.73 / MAX: 1.13MIN: 0.69 / MAX: 1.14MIN: 0.57 / MAX: 1.33
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 0.78 / Avg: 0.78 / Max: 0.79Min: 0.83 / Avg: 0.84 / Max: 0.85Min: 0.79 / Avg: 0.8 / Max: 0.81Min: 0.69 / Avg: 0.7 / Max: 0.71

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-b0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 35.896.616.627.10MIN: 5.82 / MAX: 7.01MIN: 6.48 / MAX: 7.84MIN: 6.51 / MAX: 7.75MIN: 6.88 / MAX: 8.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 5.86 / Avg: 5.89 / Max: 5.91Min: 6.53 / Avg: 6.61 / Max: 6.67Min: 6.58 / Avg: 6.62 / Max: 6.67Min: 6.97 / Avg: 7.1 / Max: 7.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 338.2335.9536.5943.331. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645Min: 38.17 / Avg: 38.23 / Max: 38.3Min: 35.88 / Avg: 35.95 / Max: 35.99Min: 36.43 / Avg: 36.59 / Max: 36.91Min: 43.12 / Avg: 43.33 / Max: 43.441. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 314.0511.6811.6511.99
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 14.03 / Avg: 14.05 / Max: 14.08Min: 11.66 / Avg: 11.68 / Max: 11.71Min: 11.65 / Avg: 11.65 / Max: 11.66Min: 11.98 / Avg: 11.99 / Max: 12.01

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: unsharp-maskCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 312.6614.9514.7915.26
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 12.63 / Avg: 12.66 / Max: 12.7Min: 14.92 / Avg: 14.95 / Max: 14.98Min: 14.75 / Avg: 14.79 / Max: 14.81Min: 15.21 / Avg: 15.25 / Max: 15.3

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_startupCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 36.748.128.018.10
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 6.73 / Avg: 6.74 / Max: 6.75Min: 8.1 / Avg: 8.12 / Max: 8.15Min: 7.97 / Avg: 8.01 / Max: 8.07Min: 8.09 / Avg: 8.1 / Max: 8.12

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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1326395265SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 357.1751.4256.2347.47MIN: 56.54MIN: 50.48MIN: 55.46MIN: 46.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1122334455Min: 57.01 / Avg: 57.17 / Max: 57.26Min: 51.26 / Avg: 51.42 / Max: 51.56Min: 56.16 / Avg: 56.23 / Max: 56.29Min: 47.42 / Avg: 47.47 / Max: 47.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Tesseract OCR

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 319.1723.0723.0022.74
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 19.14 / Avg: 19.17 / Max: 19.24Min: 22.93 / Avg: 23.07 / Max: 23.24Min: 22.98 / Avg: 23 / Max: 23.04Min: 22.66 / Avg: 22.74 / Max: 22.82

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 CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 324.7423.2222.7720.58
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 24.64 / Avg: 24.74 / Max: 24.89Min: 22.88 / Avg: 23.22 / Max: 23.44Min: 22.61 / Avg: 22.77 / Max: 22.94Min: 20.31 / Avg: 20.58 / Max: 20.73

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: JythonCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X9001800270036004500SE +/- 25.71, N = 4SE +/- 11.74, N = 4SE +/- 23.65, N = 4SE +/- 15.68, N = 43319399039633946
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X7001400210028003500Min: 3263 / Avg: 3318.5 / Max: 3368Min: 3968 / Avg: 3990.25 / Max: 4012Min: 3900 / Avg: 3962.5 / Max: 4015Min: 3900 / Avg: 3946.25 / Max: 3969

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X7001400210028003500SE +/- 28.48, N = 4SE +/- 18.51, N = 4SE +/- 43.45, N = 4SE +/- 22.93, N = 42884338933483460
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X6001200180024003000Min: 2845 / Avg: 2883.75 / Max: 2967Min: 3363 / Avg: 3388.5 / Max: 3443Min: 3264 / Avg: 3348.25 / Max: 3463Min: 3402 / Avg: 3459.75 / Max: 3500

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: 2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 342.7741.1140.4335.681. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645Min: 42.55 / Avg: 42.77 / Max: 43.06Min: 40.91 / Avg: 41.11 / Max: 41.25Min: 40.27 / Avg: 40.43 / Max: 40.55Min: 35.61 / Avg: 35.67 / Max: 35.711. (CXX) g++ options: -O3 -fPIC

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215SE +/- 0.0563556, N = 3SE +/- 0.0103412, N = 3SE +/- 0.0028795, N = 3SE +/- 0.0025653, N = 311.80710409.868076710.09197109.94302721. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 11.73 / Avg: 11.81 / Max: 11.92Min: 9.85 / Avg: 9.87 / Max: 9.88Min: 10.09 / Avg: 10.09 / Max: 10.1Min: 9.94 / Avg: 9.94 / Max: 9.951. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

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 SkylineCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 1.08, N = 15SE +/- 0.34, N = 3SE +/- 0.37, N = 3SE +/- 0.56, N = 393.1186.3083.1977.85
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 87.79 / Avg: 93.11 / Max: 98.95Min: 85.66 / Avg: 86.3 / Max: 86.84Min: 82.72 / Avg: 83.19 / Max: 83.93Min: 76.89 / Avg: 77.85 / Max: 78.83

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 5Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 330.3425.8325.6425.371. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835Min: 30.2 / Avg: 30.34 / Max: 30.52Min: 25.71 / Avg: 25.83 / Max: 25.95Min: 25.52 / Avg: 25.64 / Max: 25.77Min: 25.31 / Avg: 25.37 / Max: 25.451. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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-bitCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.37, N = 3SE +/- 0.29, N = 3131.94110.59110.90113.75MIN: 84.38 / MAX: 304.84MIN: 74.04 / MAX: 240.86MIN: 74.1 / MAX: 238.95MIN: 77.63 / MAX: 233.821. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 131.66 / Avg: 131.94 / Max: 132.14Min: 110.47 / Avg: 110.59 / Max: 110.67Min: 110.37 / Avg: 110.9 / Max: 111.62Min: 113.18 / Avg: 113.75 / Max: 114.041. (CC) gcc options: -pthread

Selenium

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.1252.253.3754.55.625SE +/- 0.05, N = 9SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 35.04.24.24.31. chrome 86.0.4240.75
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 4.8 / Avg: 5 / Max: 5.2Min: 4.2 / Avg: 4.23 / Max: 4.3Min: 4.2 / Avg: 4.23 / Max: 4.3Min: 4.2 / Avg: 4.27 / Max: 4.31. chrome 86.0.4240.75

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.019, N = 3SE +/- 0.090, N = 3SE +/- 0.109, N = 3SE +/- 0.041, N = 38.0998.6138.1877.276
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 8.07 / Avg: 8.1 / Max: 8.14Min: 8.45 / Avg: 8.61 / Max: 8.77Min: 7.98 / Avg: 8.19 / Max: 8.36Min: 7.23 / Avg: 7.28 / Max: 7.36

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 2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X11M22M33M44M55MSE +/- 574257.00, N = 3SE +/- 438932.99, N = 3SE +/- 566907.60, N = 3SE +/- 529964.65, N = 552005432.944081890.744714220.644123395.7
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X9M18M27M36M45MMin: 50859809 / Avg: 52005432.93 / Max: 52648762Min: 43608204.8 / Avg: 44081890.67 / Max: 44958813.9Min: 43940296.2 / Avg: 44714220.57 / Max: 45818771.4Min: 42120927.5 / Avg: 44123395.74 / Max: 45192923

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 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1632486480SE +/- 0.40, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 371.6460.7561.9763.221. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1428425670Min: 70.99 / Avg: 71.64 / Max: 72.38Min: 60.7 / Avg: 60.75 / Max: 60.82Min: 61.72 / Avg: 61.97 / Max: 62.16Min: 63.15 / Avg: 63.22 / Max: 63.261. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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_compileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150SE +/- 0.33, N = 3134158153153
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 153 / Avg: 153.33 / Max: 154

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 FactorizationCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30060090012001500SE +/- 11.39, N = 3SE +/- 6.22, N = 3SE +/- 11.76, N = 3SE +/- 11.92, N = 31176.071000.221019.651022.731. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix FactorizationCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2004006008001000Min: 1153.3 / Avg: 1176.07 / Max: 1187.92Min: 990.15 / Avg: 1000.22 / Max: 1011.58Min: 999.2 / Avg: 1019.65 / Max: 1039.95Min: 1001.48 / Avg: 1022.73 / Max: 1042.71. (CC) gcc options: -lm

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.15282.30563.45844.61125.764SE +/- 0.00298, N = 3SE +/- 0.00184, N = 3SE +/- 0.01443, N = 3SE +/- 0.00413, N = 34.361645.123365.078414.573461. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 4.36 / Avg: 4.36 / Max: 4.37Min: 5.12 / Avg: 5.12 / Max: 5.13Min: 5.05 / Avg: 5.08 / Max: 5.1Min: 4.57 / Avg: 4.57 / Max: 4.581. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X6K12K18K24K30KSE +/- 230.18, N = 3SE +/- 5.35, N = 3SE +/- 3.00, N = 3SE +/- 10.90, N = 322682.0025965.0126631.1526430.181. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X5K10K15K20K25KMin: 22228.97 / Avg: 22682 / Max: 22979.34Min: 25956.07 / Avg: 25965.01 / Max: 25974.56Min: 26625.19 / Avg: 26631.15 / Max: 26634.73Min: 26415.35 / Avg: 26430.18 / Max: 26451.441. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 315.8218.5618.3818.511. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 15.56 / Avg: 15.82 / Max: 16.13Min: 18.38 / Avg: 18.56 / Max: 18.9Min: 18.28 / Avg: 18.38 / Max: 18.5Min: 18.42 / Avg: 18.51 / Max: 18.641. chrome 86.0.4240.75

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-levelsCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 310.4411.9211.8812.25
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 10.42 / Avg: 10.44 / Max: 10.47Min: 11.89 / Avg: 11.92 / Max: 11.95Min: 11.84 / Avg: 11.88 / Max: 11.94Min: 12.21 / Avg: 12.25 / Max: 12.27

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: squeezenetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 314.0415.9516.3915.97MIN: 13.85 / MAX: 15.37MIN: 15.58 / MAX: 16.48MIN: 15.95 / MAX: 85.44MIN: 15.54 / MAX: 16.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 14.03 / Avg: 14.04 / Max: 14.06Min: 15.79 / Avg: 15.95 / Max: 16.15Min: 16.28 / Avg: 16.39 / Max: 16.57Min: 15.89 / Avg: 15.97 / Max: 16.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 325.0028.9028.6829.08MIN: 24.78 / MAX: 25.84MIN: 28.52 / MAX: 83.18MIN: 28.4 / MAX: 37.04MIN: 28.81 / MAX: 29.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 24.97 / Avg: 25 / Max: 25.03Min: 28.69 / Avg: 28.9 / Max: 29.05Min: 28.62 / Avg: 28.68 / Max: 28.77Min: 29.06 / Avg: 29.08 / Max: 29.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Nebular Empirical Analysis Tool

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 314.2313.4813.2312.241. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 14.19 / Avg: 14.23 / Max: 14.31Min: 13.32 / Avg: 13.48 / Max: 13.67Min: 13.06 / Avg: 13.23 / Max: 13.37Min: 12.19 / Avg: 12.24 / Max: 12.281. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

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: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X90180270360450SE +/- 3.03, N = 3SE +/- 5.47, N = 3SE +/- 2.91, N = 3SE +/- 0.71, N = 3419.1369.6360.7362.21. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X70140210280350Min: 416 / Avg: 419.13 / Max: 425.2Min: 360.5 / Avg: 369.57 / Max: 379.4Min: 355 / Avg: 360.7 / Max: 364.6Min: 360.9 / Avg: 362.23 / Max: 363.31. firefox 81.0

Perl Benchmarks

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.02550.0510.07650.1020.1275SE +/- 0.00032095, N = 3SE +/- 0.00086563, N = 3SE +/- 0.00093524, N = 3SE +/- 0.00118276, N = 30.097657810.110959950.113382120.11059513
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X12345Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11

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 CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 318.0420.9220.6720.21
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 17.94 / Avg: 18.04 / Max: 18.17Min: 20.88 / Avg: 20.92 / Max: 20.98Min: 20.53 / Avg: 20.67 / Max: 20.76Min: 20.09 / Avg: 20.21 / Max: 20.29

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: AntialiasCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 331.7336.7835.9936.64
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240Min: 31.7 / Avg: 31.73 / Max: 31.78Min: 36.71 / Avg: 36.78 / Max: 36.85Min: 35.82 / Avg: 35.99 / Max: 36.11Min: 36.56 / Avg: 36.64 / Max: 36.73

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 325.4529.4729.0729.18
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835Min: 25.36 / Avg: 25.45 / Max: 25.53Min: 29.13 / Avg: 29.46 / Max: 29.78Min: 28.81 / Avg: 29.07 / Max: 29.35Min: 28.96 / Avg: 29.18 / Max: 29.3

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 332.3637.4637.1937.23
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240Min: 32.15 / Avg: 32.35 / Max: 32.55Min: 37.37 / Avg: 37.46 / Max: 37.58Min: 36.9 / Avg: 37.19 / Max: 37.41Min: 37.07 / Avg: 37.23 / Max: 37.35

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: Sparse Matrix MultiplyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2004006008001000SE +/- 8.92, N = 3SE +/- 13.26, N = 3SE +/- 11.89, N = 3SE +/- 6.04, N = 3929.10802.70820.38831.211. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Sparse Matrix MultiplyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X160320480640800Min: 911.27 / Avg: 929.1 / Max: 938.18Min: 776.22 / Avg: 802.7 / Max: 817.33Min: 796.83 / Avg: 820.38 / Max: 834.95Min: 824 / Avg: 831.21 / Max: 843.21. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2004006008001000SE +/- 7.35, N = 3SE +/- 11.67, N = 3SE +/- 10.13, N = 3SE +/- 6.32, N = 3829.30717.42743.57751.351. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X150300450600750Min: 814.6 / Avg: 829.3 / Max: 836.98Min: 694.09 / Avg: 717.42 / Max: 729.65Min: 724.18 / Avg: 743.57 / Max: 758.36Min: 742.02 / Avg: 751.35 / Max: 763.41. (CC) gcc options: -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 EntropyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.04, N = 316.9916.2616.0314.73
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 16.72 / Avg: 16.99 / Max: 17.15Min: 16.19 / Avg: 16.26 / Max: 16.37Min: 15.57 / Avg: 16.03 / Max: 16.3Min: 14.64 / Avg: 14.73 / Max: 14.78

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X11002200330044005500SE +/- 43.79, N = 3SE +/- 60.37, N = 3SE +/- 44.73, N = 3SE +/- 83.95, N = 34540.575213.275040.745235.831. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X9001800270036004500Min: 4453 / Avg: 4540.57 / Max: 4584.97Min: 5113.53 / Avg: 5213.27 / Max: 5322.08Min: 4959.9 / Avg: 5040.74 / Max: 5114.34Min: 5133.84 / Avg: 5235.83 / Max: 5402.341. (CC) gcc options: -O3 -mavx2

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: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645SE +/- 0.42, N = 3SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.43, N = 334.7239.9539.6239.561. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240Min: 33.99 / Avg: 34.72 / Max: 35.44Min: 39.78 / Avg: 39.95 / Max: 40.22Min: 39.18 / Avg: 39.62 / Max: 40.15Min: 38.86 / Avg: 39.56 / Max: 40.351. firefox 81.0

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-v2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.30952.6193.92855.2386.5475SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 35.065.405.395.82MIN: 4.97 / MAX: 6.13MIN: 5.25 / MAX: 6.16MIN: 5.23 / MAX: 6.48MIN: 5.69 / MAX: 6.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 5.05 / Avg: 5.06 / Max: 5.07Min: 5.33 / Avg: 5.4 / Max: 5.47Min: 5.34 / Avg: 5.39 / Max: 5.45Min: 5.8 / Avg: 5.82 / Max: 5.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 TimesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2004006008001000SE +/- 14.81, N = 3SE +/- 3.48, N = 3SE +/- 11.59, N = 3773888866876
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X160320480640800Min: 860 / Avg: 888.33 / Max: 910Min: 860 / Avg: 865.67 / Max: 872Min: 862 / Avg: 876 / Max: 899

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, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30060090012001500SE +/- 4.67, N = 3SE +/- 16.20, N = 3SE +/- 9.02, N = 3SE +/- 6.81, N = 311411310129112861. firefox 81.0
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2004006008001000Min: 1134 / Avg: 1141.33 / Max: 1150Min: 1281 / Avg: 1310 / Max: 1337Min: 1274 / Avg: 1290.67 / Max: 1305Min: 1273 / Avg: 1286 / Max: 12961. firefox 81.0

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 5.2.0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.012, N = 5SE +/- 0.031, N = 5SE +/- 0.045, N = 5SE +/- 0.045, N = 55.8976.7556.5956.469
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 5.87 / Avg: 5.9 / Max: 5.94Min: 6.67 / Avg: 6.75 / Max: 6.84Min: 6.44 / Avg: 6.6 / Max: 6.72Min: 6.31 / Avg: 6.47 / Max: 6.57

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 AnalysisCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1632486480SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.39, N = 363.6372.7469.9470.24-mmpx-msse4a -msha-msse4a -msha-msse4a -msha1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1428425670Min: 63.49 / Avg: 63.63 / Max: 63.87Min: 72.65 / Avg: 72.74 / Max: 72.81Min: 69.86 / Avg: 69.94 / Max: 70.09Min: 69.81 / Avg: 70.24 / Max: 71.021. (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

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 TimesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.18, N = 316.0518.2018.2718.331. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 15.73 / Avg: 16.05 / Max: 16.21Min: 18.15 / Avg: 18.2 / Max: 18.23Min: 17.97 / Avg: 18.27 / Max: 18.79Min: 18.12 / Avg: 18.33 / Max: 18.691. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 PerformanceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X300K600K900K1200K1500KSE +/- 2615.51, N = 5SE +/- 3070.42, N = 5SE +/- 9606.45, N = 18SE +/- 4368.74, N = 515727701376972138520614072531. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X300K600K900K1200K1500KMin: 1564710 / Avg: 1572769.8 / Max: 1578160Min: 1366694 / Avg: 1376971.8 / Max: 1383864Min: 1314505 / Avg: 1385205.72 / Max: 1441827Min: 1397913 / Avg: 1407253 / Max: 14231981. (CC) gcc options: -O3 -march=native

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - GriddingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30060090012001500SE +/- 15.23, N = 3SE +/- 17.89, N = 15SE +/- 12.86, N = 6SE +/- 9.33, N = 31325.011179.341163.421161.151. (CXX) g++ options: -lpthread
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - GriddingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2004006008001000Min: 1298.81 / Avg: 1325.01 / Max: 1351.55Min: 1104.8 / Avg: 1179.34 / Max: 1337.97Min: 1104.8 / Avg: 1163.42 / Max: 1188.64Min: 1142.73 / Avg: 1161.15 / Max: 1172.931. (CXX) g++ options: -lpthread

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X120240360480600SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 6.64, N = 3SE +/- 5.13, N = 3556.85492.74488.01501.991. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X100200300400500Min: 556.67 / Avg: 556.85 / Max: 557.08Min: 492.57 / Avg: 492.74 / Max: 492.82Min: 480.05 / Avg: 488.01 / Max: 501.19Min: 495.84 / Avg: 501.99 / Max: 512.171. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 SolvingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4K8K12K16K20KSE +/- 15.99, N = 3SE +/- 104.27, N = 3SE +/- 155.45, N = 8SE +/- 67.33, N = 317624.815451.015572.815875.81. (CC) gcc options: -O3
OpenBenchmarking.orgKpos / sec, More Is BetterFhourstones 3.1Complex Connect-4 SolvingCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3K6K9K12K15KMin: 17596.3 / Avg: 17624.8 / Max: 17651.6Min: 15250 / Avg: 15450.97 / Max: 15599.7Min: 14980.9 / Avg: 15572.84 / Max: 16163.9Min: 15808.1 / Avg: 15875.83 / Max: 16010.51. (CC) gcc options: -O3

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 LeukocyteCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 0.09, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.56, N = 382.9888.5986.7977.781. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 82.84 / Avg: 82.98 / Max: 83.15Min: 88.32 / Avg: 88.59 / Max: 89.06Min: 86.51 / Avg: 86.79 / Max: 87Min: 76.68 / Avg: 77.78 / Max: 78.551. (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: Water CausticCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 323.5824.1123.8321.23-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
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 23.51 / Avg: 23.58 / Max: 23.64Min: 24.04 / Avg: 24.11 / Max: 24.21Min: 23.63 / Avg: 23.83 / Max: 23.94Min: 21.17 / Avg: 21.23 / Max: 21.281. (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

AOBench

AOBench is a lightweight ambient occlusion renderer, written in C. The test profile is using a size of 2048 x 2048. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.30, N = 327.2130.3430.8930.741. (CC) gcc options: -lm -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835Min: 27.1 / Avg: 27.21 / Max: 27.33Min: 30.32 / Avg: 30.34 / Max: 30.36Min: 30.79 / Avg: 30.89 / Max: 31.1Min: 30.14 / Avg: 30.74 / Max: 31.141. (CC) gcc options: -lm -O3

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: TwofishCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X100200300400500SE +/- 0.30, N = 3SE +/- 0.11, N = 3SE +/- 0.67, N = 3SE +/- 3.56, N = 3446.45403.65393.72400.121. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X80160240320400Min: 445.96 / Avg: 446.45 / Max: 446.98Min: 403.43 / Avg: 403.65 / Max: 403.79Min: 393.03 / Avg: 393.72 / Max: 395.06Min: 396.51 / Avg: 400.12 / Max: 407.231. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 CompressionCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.015, N = 3SE +/- 0.067, N = 3SE +/- 0.056, N = 3SE +/- 0.087, N = 56.0246.8046.5556.7481. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 6 / Avg: 6.02 / Max: 6.05Min: 6.74 / Avg: 6.8 / Max: 6.94Min: 6.44 / Avg: 6.56 / Max: 6.62Min: 6.47 / Avg: 6.75 / Max: 6.931. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1122334455SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 347.7946.7946.2742.37
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050Min: 47.58 / Avg: 47.79 / Max: 48.03Min: 46.39 / Avg: 46.79 / Max: 47.3Min: 46.1 / Avg: 46.27 / Max: 46.43Min: 42.25 / Avg: 42.37 / Max: 42.57

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: MediumCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 36.807.077.046.271. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 6.76 / Avg: 6.8 / Max: 6.87Min: 7.05 / Avg: 7.07 / Max: 7.08Min: 6.95 / Avg: 7.04 / Max: 7.08Min: 6.19 / Avg: 6.27 / Max: 6.311. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.04230.08460.12690.16920.2115SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1670.1880.1850.183
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X12345Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.18 / Avg: 0.18 / Max: 0.19Min: 0.18 / Avg: 0.18 / Max: 0.18

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: SerialCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X130260390520650588.16546.89526.46522.74

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: rnflowCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4812162012.8114.4014.3514.39

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.0422.0843.1264.1685.21SE +/- 0.018, N = 3SE +/- 0.011, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 34.6314.5234.4954.120
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 4.6 / Avg: 4.63 / Max: 4.65Min: 4.5 / Avg: 4.52 / Max: 4.54Min: 4.49 / Avg: 4.49 / Max: 4.5Min: 4.11 / Avg: 4.12 / Max: 4.13

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X50100150200250SE +/- 2.01, N = 3SE +/- 1.41, N = 3SE +/- 0.37, N = 3SE +/- 1.14, N = 3214.09232.66220.22207.12MIN: 206.29MIN: 229.79MIN: 218.35MIN: 203.261. (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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200Min: 210.4 / Avg: 214.09 / Max: 217.32Min: 231.03 / Avg: 232.66 / Max: 235.46Min: 219.52 / Avg: 220.22 / Max: 220.77Min: 204.85 / Avg: 207.12 / Max: 208.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 DocumentCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 319.8421.0320.5618.73
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 19.63 / Avg: 19.84 / Max: 20.06Min: 20.83 / Avg: 21.03 / Max: 21.15Min: 20.37 / Avg: 20.56 / Max: 20.9Min: 18.54 / Avg: 18.73 / Max: 19.08

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: Jacobi Successive Over-RelaxationCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30060090012001500SE +/- 13.47, N = 3SE +/- 22.36, N = 3SE +/- 20.94, N = 3SE +/- 8.57, N = 31472.191313.381343.501363.281. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Jacobi Successive Over-RelaxationCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30060090012001500Min: 1445.35 / Avg: 1472.19 / Max: 1487.58Min: 1268.67 / Avg: 1313.38 / Max: 1336.58Min: 1301.8 / Avg: 1343.5 / Max: 1367.69Min: 1352.87 / Avg: 1363.28 / Max: 1380.281. (CC) gcc options: -lm

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 2.75, N = 3SE +/- 0.25, N = 3176.07162.65159.83157.121. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 176.02 / Avg: 176.07 / Max: 176.12Min: 162.35 / Avg: 162.65 / Max: 163.05Min: 157.08 / Avg: 159.83 / Max: 165.33Min: 156.82 / Avg: 157.12 / Max: 157.621. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -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: Monte CarloCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 1.85, N = 3SE +/- 2.65, N = 3SE +/- 2.11, N = 3SE +/- 0.92, N = 3179.16159.96163.05165.361. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte CarloCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 175.46 / Avg: 179.16 / Max: 181.07Min: 154.69 / Avg: 159.96 / Max: 163.05Min: 158.83 / Avg: 163.05 / Max: 165.3Min: 164.2 / Avg: 165.36 / Max: 167.181. (CC) gcc options: -lm

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-PassCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.04632.09263.13894.18525.2315SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 34.654.164.184.181. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 4.59 / Avg: 4.65 / Max: 4.72Min: 4.11 / Avg: 4.16 / Max: 4.19Min: 4.13 / Avg: 4.18 / Max: 4.22Min: 4.15 / Avg: 4.18 / Max: 4.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 0.17, N = 3SE +/- 0.46, N = 3SE +/- 0.41, N = 3SE +/- 0.53, N = 3186.01180.89180.29200.831. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200Min: 185.76 / Avg: 186.01 / Max: 186.34Min: 179.96 / Avg: 180.89 / Max: 181.38Min: 179.8 / Avg: 180.29 / Max: 181.1Min: 199.93 / Avg: 200.83 / Max: 201.751. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2M4M6M8M10MSE +/- 18480.02, N = 3SE +/- 33192.92, N = 3SE +/- 124855.19, N = 3SE +/- 28955.96, N = 3100874189268070907152891954031. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2M4M6M8M10MMin: 10051593 / Avg: 10087418 / Max: 10113202Min: 9203245 / Avg: 9268070 / Max: 9312876Min: 8919264 / Avg: 9071528.33 / Max: 9319061Min: 9154967 / Avg: 9195402.67 / Max: 92515241. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1530456075SE +/- 0.21, N = 3SE +/- 0.81, N = 3SE +/- 0.44, N = 3SE +/- 0.24, N = 362.6467.7968.1669.64
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1326395265Min: 62.41 / Avg: 62.64 / Max: 63.06Min: 66.44 / Avg: 67.79 / Max: 69.25Min: 67.61 / Avg: 68.16 / Max: 69.03Min: 69.16 / Avg: 69.64 / Max: 69.94

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X60120180240300SE +/- 3.74, N = 3SE +/- 0.80, N = 3SE +/- 2.02, N = 12SE +/- 0.29, N = 3261.56235.52236.45240.34MIN: 253.09 / MAX: 270.4MIN: 233.06 / MAX: 238.56MIN: 224.41 / MAX: 244.45MIN: 239.2 / MAX: 249.71. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X50100150200250Min: 254.18 / Avg: 261.56 / Max: 266.29Min: 233.92 / Avg: 235.52 / Max: 236.38Min: 224.85 / Avg: 236.45 / Max: 242.78Min: 239.79 / Avg: 240.34 / Max: 240.751. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1224364860SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.52, N = 349.2354.6753.6954.09
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1122334455Min: 49.04 / Avg: 49.23 / Max: 49.52Min: 54.51 / Avg: 54.67 / Max: 54.87Min: 53.3 / Avg: 53.69 / Max: 54Min: 53.07 / Avg: 54.09 / Max: 54.75

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 TestCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 2.90, N = 3SE +/- 1.09, N = 3SE +/- 1.11, N = 3SE +/- 0.54, N = 3176.74196.12194.85195.78
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200Min: 172.51 / Avg: 176.74 / Max: 182.29Min: 194.06 / Avg: 196.12 / Max: 197.76Min: 192.95 / Avg: 194.85 / Max: 196.79Min: 194.74 / Avg: 195.78 / Max: 196.56

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: nbodyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 0.03, N = 3SE +/- 0.33, N = 393.0103.0101.0102.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 92.9 / Avg: 92.97 / Max: 93Min: 103 / Avg: 103.33 / Max: 104

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 v2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X60120180240300SE +/- 1.24, N = 3SE +/- 0.28, N = 3SE +/- 0.84, N = 3SE +/- 0.44, N = 3282.65256.34255.51258.83MIN: 278.48 / MAX: 286.84MIN: 249.57 / MAX: 278.25MIN: 242.62 / MAX: 276.95MIN: 245.84 / MAX: 277.31. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X50100150200250Min: 280.25 / Avg: 282.64 / Max: 284.42Min: 255.81 / Avg: 256.34 / Max: 256.77Min: 254.32 / Avg: 255.51 / Max: 257.12Min: 257.95 / Avg: 258.83 / Max: 259.381. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 314.315.815.415.6
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 14.2 / Avg: 14.27 / Max: 14.3Min: 15.8 / Avg: 15.83 / Max: 15.9Min: 15.3 / Avg: 15.4 / Max: 15.5Min: 15.5 / Avg: 15.57 / Max: 15.6

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: KASUMICore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 1.68, N = 3SE +/- 0.85, N = 3115.40104.56104.91107.771. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMICore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 115.33 / Avg: 115.4 / Max: 115.5Min: 104.38 / Avg: 104.56 / Max: 104.91Min: 101.55 / Avg: 104.91 / Max: 106.82Min: 106.11 / Avg: 107.77 / Max: 108.911. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 BenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X100200300400500SE +/- 2.16, N = 3SE +/- 3.07, N = 3SE +/- 1.51, N = 3SE +/- 2.57, N = 3451.53409.49425.55422.17
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X80160240320400Min: 447.88 / Avg: 451.53 / Max: 455.36Min: 405.48 / Avg: 409.49 / Max: 415.52Min: 422.55 / Avg: 425.55 / Max: 427.33Min: 418.29 / Avg: 422.17 / Max: 427.03

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: resizeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.050, N = 3SE +/- 0.030, N = 3SE +/- 0.053, N = 3SE +/- 0.053, N = 36.8047.4917.3817.289
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 6.73 / Avg: 6.8 / Max: 6.9Min: 7.44 / Avg: 7.49 / Max: 7.55Min: 7.3 / Avg: 7.38 / Max: 7.48Min: 7.19 / Avg: 7.29 / Max: 7.38

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 4KCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 0.66, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.61, N = 3183.54197.62197.64201.96MIN: 147.87 / MAX: 191.59MIN: 158.2 / MAX: 208.72MIN: 160.44 / MAX: 207.45MIN: 138.19 / MAX: 209.941. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200Min: 182.23 / Avg: 183.54 / Max: 184.29Min: 197.39 / Avg: 197.62 / Max: 197.92Min: 197.5 / Avg: 197.64 / Max: 197.88Min: 200.84 / Avg: 201.96 / Max: 202.911. (CC) gcc options: -pthread

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 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X50100150200250SE +/- 2.55, N = 5SE +/- 3.37, N = 3SE +/- 3.32, N = 3SE +/- 0.25, N = 3210.08202.63198.20217.131. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200Min: 199.93 / Avg: 210.08 / Max: 213.52Min: 195.89 / Avg: 202.63 / Max: 206.04Min: 191.57 / Avg: 198.2 / Max: 201.82Min: 216.84 / Avg: 217.13 / Max: 217.631. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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: InterpreterCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.00020.00040.00060.00080.001SE +/- 0.00000313, N = 3SE +/- 0.00000316, N = 3SE +/- 0.00000610, N = 15SE +/- 0.00000624, N = 130.000702280.000749990.000753640.00076862
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X12345Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 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: DefaultCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.31820.63640.95461.27281.591SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 31.2941.4141.3651.3691. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 1.39 / Avg: 1.41 / Max: 1.43Min: 1.36 / Avg: 1.37 / Max: 1.37Min: 1.36 / Avg: 1.37 / Max: 1.381. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 2SE +/- 0.07, N = 315.4016.5616.5316.78MIN: 15.27 / MAX: 25.85MIN: 16.45 / MAX: 17.1MIN: 16.43 / MAX: 17.06MIN: 16.47 / MAX: 28.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 15.38 / Avg: 15.4 / Max: 15.41Min: 16.54 / Avg: 16.56 / Max: 16.6Min: 16.51 / Avg: 16.53 / Max: 16.54Min: 16.64 / Avg: 16.78 / Max: 16.881. (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-PassCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.6571.3141.9712.6283.285SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.922.682.712.721. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 2.89 / Avg: 2.92 / Max: 2.95Min: 2.66 / Avg: 2.68 / Max: 2.7Min: 2.68 / Avg: 2.71 / Max: 2.72Min: 2.72 / Avg: 2.72 / Max: 2.731. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Cython benchmark

Stress benchmark tests to measure time consumed by cython code Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCython benchmark 0.27Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645SE +/- 0.04, N = 3SE +/- 0.51, N = 3SE +/- 0.32, N = 15SE +/- 0.13, N = 335.3238.3738.0437.80
OpenBenchmarking.orgSeconds, Fewer Is BetterCython benchmark 0.27Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240Min: 35.26 / Avg: 35.32 / Max: 35.38Min: 37.79 / Avg: 38.37 / Max: 39.39Min: 36.45 / Avg: 38.04 / Max: 39.57Min: 37.58 / Avg: 37.8 / Max: 38.03

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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 321.3222.4522.5320.74MIN: 21.24MIN: 21.96MIN: 21.81MIN: 20.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 21.31 / Avg: 21.32 / Max: 21.34Min: 22.27 / Avg: 22.45 / Max: 22.68Min: 22.52 / Avg: 22.53 / Max: 22.55Min: 20.6 / Avg: 20.74 / Max: 20.941. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Timed GDB GNU Debugger Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 0.31, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 387.4394.9394.0390.55
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 86.81 / Avg: 87.43 / Max: 87.82Min: 94.85 / Avg: 94.92 / Max: 95.03Min: 94.03 / Avg: 94.03 / Max: 94.04Min: 90.5 / Avg: 90.55 / Max: 90.59

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 i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 320.3618.7918.9019.13
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X510152025Min: 20.35 / Avg: 20.36 / Max: 20.37Min: 18.64 / Avg: 18.79 / Max: 19.07Min: 18.47 / Avg: 18.9 / Max: 19.21Min: 19 / Avg: 19.13 / Max: 19.29

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 ParallelCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200183.25171.79170.08169.17

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: rotateCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 310.4011.1511.1211.27
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 10.38 / Avg: 10.4 / Max: 10.45Min: 11.14 / Avg: 11.14 / Max: 11.15Min: 10.97 / Avg: 11.12 / Max: 11.23Min: 11.13 / Avg: 11.27 / Max: 11.34

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 100Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.48940.97881.46821.95762.447SE +/- 0.008, N = 3SE +/- 0.023, N = 3SE +/- 0.015, N = 3SE +/- 0.029, N = 32.0092.1752.0882.1611. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 1.99 / Avg: 2.01 / Max: 2.02Min: 2.13 / Avg: 2.18 / Max: 2.21Min: 2.06 / Avg: 2.09 / Max: 2.1Min: 2.1 / Avg: 2.16 / Max: 2.21. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150SE +/- 1.49, N = 3SE +/- 0.62, N = 3SE +/- 1.43, N = 3SE +/- 0.23, N = 3113.69105.14107.15105.021. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 111.87 / Avg: 113.69 / Max: 116.65Min: 104.34 / Avg: 105.14 / Max: 106.37Min: 105.16 / Avg: 107.15 / Max: 109.91Min: 104.6 / Avg: 105.02 / Max: 105.381. 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: CropCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.094, N = 3SE +/- 0.049, N = 3SE +/- 0.092, N = 3SE +/- 0.083, N = 37.4618.0577.9438.074
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 7.27 / Avg: 7.46 / Max: 7.56Min: 8.01 / Avg: 8.06 / Max: 8.16Min: 7.85 / Avg: 7.94 / Max: 8.13Min: 7.99 / Avg: 8.07 / Max: 8.24

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 ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 0.58, N = 3SE +/- 0.54, N = 3SE +/- 0.80, N = 3SE +/- 0.12, N = 3163.68151.42152.93152.151. chrome 86.0.4240.75
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 162.77 / Avg: 163.68 / Max: 164.75Min: 150.35 / Avg: 151.42 / Max: 152.04Min: 151.85 / Avg: 152.93 / Max: 154.49Min: 151.91 / Avg: 152.15 / Max: 152.321. 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 degCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1632486480SE +/- 0.18, N = 3SE +/- 0.79, N = 3SE +/- 0.04, N = 3SE +/- 0.34, N = 366.3771.6268.8969.701. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1428425670Min: 66.19 / Avg: 66.37 / Max: 66.73Min: 70.29 / Avg: 71.62 / Max: 73.01Min: 68.85 / Avg: 68.89 / Max: 68.96Min: 69.28 / Avg: 69.7 / Max: 70.371. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

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 ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X160320480640800SE +/- 3.99, N = 3SE +/- 6.66, N = 3SE +/- 3.42, N = 3SE +/- 2.40, N = 3754.9715.3705.8700.51. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X130260390520650Min: 747.2 / Avg: 754.87 / Max: 760.6Min: 703.3 / Avg: 715.3 / Max: 726.3Min: 701.3 / Avg: 705.8 / Max: 712.5Min: 695.7 / Avg: 700.47 / Max: 703.41. chrome 86.0.4240.75

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 BenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 341.5043.1943.5944.571. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645Min: 41.37 / Avg: 41.5 / Max: 41.68Min: 43.05 / Avg: 43.19 / Max: 43.33Min: 43.53 / Avg: 43.59 / Max: 43.67Min: 44.22 / Avg: 44.57 / Max: 45.011. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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 ThroughputCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X50100150200250SE +/- 0.36, N = 3SE +/- 0.79, N = 3SE +/- 0.03, N = 3SE +/- 3.33, N = 4237.26229.31221.00225.711. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200Min: 236.71 / Avg: 237.26 / Max: 237.93Min: 228.35 / Avg: 229.31 / Max: 230.87Min: 220.97 / Avg: 221 / Max: 221.06Min: 220.92 / Avg: 225.71 / Max: 235.561. (CC) gcc options: -O3 -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.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3K6K9K12K15KSE +/- 87.07, N = 3SE +/- 78.94, N = 3SE +/- 157.25, N = 12SE +/- 110.82, N = 3131371397913716141001. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2K4K6K8K10KMin: 13024 / Avg: 13136.67 / Max: 13308Min: 13880 / Avg: 13979 / Max: 14135Min: 12530 / Avg: 13716.33 / Max: 14230Min: 13890 / Avg: 14100.33 / Max: 142661. firefox 81.0

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: blosclzCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2K4K6K8K10KSE +/- 18.50, N = 3SE +/- 27.76, N = 3SE +/- 32.32, N = 3SE +/- 23.94, N = 310815.811595.211473.911474.91. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X2K4K6K8K10KMin: 10795.8 / Avg: 10815.83 / Max: 10852.8Min: 11544.4 / Avg: 11595.17 / Max: 11640Min: 11437.6 / Avg: 11473.93 / Max: 11538.4Min: 11438.6 / Avg: 11474.93 / Max: 11520.11. (CXX) g++ options: -rdynamic

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 0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.033, N = 3SE +/- 0.105, N = 3SE +/- 0.081, N = 3SE +/- 0.003, N = 36.3716.7156.7606.3651. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 6.33 / Avg: 6.37 / Max: 6.44Min: 6.59 / Avg: 6.71 / Max: 6.92Min: 6.6 / Avg: 6.76 / Max: 6.86Min: 6.36 / Avg: 6.37 / Max: 6.371. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 SynthesisCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.14, N = 4SE +/- 0.14, N = 4SE +/- 0.38, N = 4SE +/- 0.11, N = 425.3026.8126.7126.681. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 24.89 / Avg: 25.3 / Max: 25.47Min: 26.58 / Avg: 26.81 / Max: 27.22Min: 25.81 / Avg: 26.71 / Max: 27.48Min: 26.33 / Avg: 26.68 / Max: 26.811. (CC) gcc options: -O2 -std=c99

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.85191.70382.55573.40764.2595SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 33.5993.7863.7543.579
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 3.59 / Avg: 3.6 / Max: 3.61Min: 3.77 / Avg: 3.79 / Max: 3.8Min: 3.75 / Avg: 3.75 / Max: 3.76Min: 3.57 / Avg: 3.58 / Max: 3.58

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1224364860SE +/- 0.67, N = 3SE +/- 0.53, N = 3SE +/- 0.41, N = 15SE +/- 0.24, N = 353.4450.5350.8852.55
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1122334455Min: 52.14 / Avg: 53.44 / Max: 54.35Min: 49.95 / Avg: 50.53 / Max: 51.59Min: 47.26 / Avg: 50.88 / Max: 52.5Min: 52.3 / Avg: 52.55 / Max: 53.02

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 FLACCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.014, N = 5SE +/- 0.039, N = 5SE +/- 0.034, N = 5SE +/- 0.026, N = 57.1737.5797.5387.4551. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 7.15 / Avg: 7.17 / Max: 7.22Min: 7.46 / Avg: 7.58 / Max: 7.66Min: 7.44 / Avg: 7.54 / Max: 7.63Min: 7.39 / Avg: 7.45 / Max: 7.531. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

Dolfyn

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 316.4016.1315.6415.57
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 16.28 / Avg: 16.4 / Max: 16.6Min: 15.7 / Avg: 16.13 / Max: 16.38Min: 15.31 / Avg: 15.64 / Max: 15.96Min: 15.28 / Avg: 15.57 / Max: 15.79

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, LosslessCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 315.0815.2614.8615.641. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 15.06 / Avg: 15.08 / Max: 15.11Min: 15.07 / Avg: 15.26 / Max: 15.51Min: 14.81 / Avg: 14.85 / Max: 14.89Min: 15.49 / Avg: 15.64 / Max: 15.871. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.36, N = 4SE +/- 0.20, N = 327.7528.5027.0927.321. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 26.96 / Avg: 27.75 / Max: 28.41Min: 28.39 / Avg: 28.5 / Max: 28.59Min: 26.02 / Avg: 27.09 / Max: 27.53Min: 26.94 / Avg: 27.32 / Max: 27.631. chrome 86.0.4240.75

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 1.07, N = 3SE +/- 0.37, N = 383.8981.1079.7679.931. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1632486480Min: 83.81 / Avg: 83.89 / Max: 83.99Min: 80.64 / Avg: 81.1 / Max: 81.42Min: 77.65 / Avg: 79.76 / Max: 81.13Min: 79.4 / Avg: 79.92 / Max: 80.631. (CXX) g++ options: -O2 -lOpenCL

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: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X160320480640800SE +/- 2.78, N = 3SE +/- 5.46, N = 3SE +/- 2.56, N = 3SE +/- 6.74, N = 3709.4745.9714.9731.01. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X130260390520650Min: 704.4 / Avg: 709.43 / Max: 714Min: 735.9 / Avg: 745.87 / Max: 754.7Min: 711.1 / Avg: 714.93 / Max: 719.8Min: 723.8 / Avg: 731.03 / Max: 744.51. firefox 81.0

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: proteinCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X369121511.6412.2312.1212.03

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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 37.387.147.037.22
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 7.29 / Avg: 7.38 / Max: 7.43Min: 7.13 / Avg: 7.14 / Max: 7.15Min: 6.93 / Avg: 7.03 / Max: 7.11Min: 7.19 / Avg: 7.22 / Max: 7.26

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1020304050SE +/- 0.38, N = 3SE +/- 0.19, N = 3SE +/- 0.64, N = 3SE +/- 0.38, N = 343.3044.3543.5542.261. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X918273645Min: 42.78 / Avg: 43.3 / Max: 44.04Min: 44.03 / Avg: 44.35 / Max: 44.7Min: 42.61 / Avg: 43.55 / Max: 44.79Min: 41.53 / Avg: 42.25 / Max: 42.771. (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.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30060090012001500SE +/- 7.54, N = 3SE +/- 22.84, N = 3SE +/- 10.02, N = 3SE +/- 6.03, N = 314121480146714291. chrome 86.0.4240.75
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X30060090012001500Min: 1402 / Avg: 1412.33 / Max: 1427Min: 1448 / Avg: 1479.67 / Max: 1524Min: 1447 / Avg: 1467 / Max: 1478Min: 1422 / Avg: 1429 / Max: 14411. chrome 86.0.4240.75

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 331.1232.0132.5832.301. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X714212835Min: 31.04 / Avg: 31.12 / Max: 31.18Min: 31.86 / Avg: 32.01 / Max: 32.13Min: 32.53 / Avg: 32.58 / Max: 32.61Min: 32.11 / Avg: 32.3 / Max: 32.431. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.087.737.807.831. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 8.07 / Avg: 8.08 / Max: 8.09Min: 7.68 / Avg: 7.73 / Max: 7.77Min: 7.77 / Avg: 7.8 / Max: 7.82Min: 7.82 / Avg: 7.83 / Max: 7.841. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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: ScaleCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.24882.49763.74644.99526.244SE +/- 0.048, N = 3SE +/- 0.023, N = 3SE +/- 0.032, N = 3SE +/- 0.013, N = 35.3115.5505.4565.499
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 5.22 / Avg: 5.31 / Max: 5.38Min: 5.51 / Avg: 5.55 / Max: 5.59Min: 5.4 / Avg: 5.46 / Max: 5.51Min: 5.47 / Avg: 5.5 / Max: 5.51

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 RNACore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215SE +/- 0.081, N = 3SE +/- 0.017, N = 3SE +/- 0.048, N = 3SE +/- 0.041, N = 38.7028.9078.9738.5911. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNACore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 8.58 / Avg: 8.7 / Max: 8.86Min: 8.88 / Avg: 8.91 / Max: 8.94Min: 8.91 / Avg: 8.97 / Max: 9.07Min: 8.52 / Avg: 8.59 / Max: 8.661. (CC) gcc options: -std=c99 -O3 -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: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100SE +/- 0.90, N = 3SE +/- 0.45, N = 3SE +/- 1.41, N = 4SE +/- 1.37, N = 3104.1100.199.7100.61. firefox 81.0
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X20406080100Min: 102.3 / Avg: 104.1 / Max: 105Min: 99.5 / Avg: 100.13 / Max: 101Min: 96.1 / Avg: 99.7 / Max: 103Min: 97.9 / Avg: 100.63 / Max: 1021. firefox 81.0

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: mobilenetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 316.4116.4916.5017.12MIN: 16.34 / MAX: 17.53MIN: 16.16 / MAX: 16.99MIN: 16.21 / MAX: 16.8MIN: 16.58 / MAX: 50.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 16.39 / Avg: 16.41 / Max: 16.43Min: 16.3 / Avg: 16.49 / Max: 16.81Min: 16.37 / Avg: 16.5 / Max: 16.62Min: 16.84 / Avg: 17.12 / Max: 17.321. (CXX) g++ options: -O3 -rdynamic -lgomp -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: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 317.0616.4016.3816.85
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X48121620Min: 17.02 / Avg: 17.06 / Max: 17.12Min: 16.28 / Avg: 16.4 / Max: 16.52Min: 16.2 / Avg: 16.38 / Max: 16.53Min: 16.83 / Avg: 16.85 / Max: 16.86

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 TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1224364860SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 353.6754.3453.5152.391. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1122334455Min: 53.66 / Avg: 53.67 / Max: 53.69Min: 54.27 / Avg: 54.34 / Max: 54.39Min: 53.41 / Avg: 53.51 / Max: 53.58Min: 52.36 / Avg: 52.39 / Max: 52.451. RawTherapee, version 5.8, command line.

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: 8Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1.03862.07723.11584.15445.193SE +/- 0.013, N = 3SE +/- 0.026, N = 3SE +/- 0.008, N = 3SE +/- 0.054, N = 34.5384.6164.5864.4531. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 4.52 / Avg: 4.54 / Max: 4.56Min: 4.58 / Avg: 4.62 / Max: 4.66Min: 4.57 / Avg: 4.59 / Max: 4.6Min: 4.35 / Avg: 4.45 / Max: 4.521. (CXX) g++ options: -O3 -fPIC

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: vgg16Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1632486480SE +/- 0.00, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.34, N = 369.4569.0968.7971.28MIN: 69.24 / MAX: 78.97MIN: 67.97 / MAX: 100.99MIN: 67.85 / MAX: 80.42MIN: 69.7 / MAX: 92.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X1428425670Min: 69.45 / Avg: 69.45 / Max: 69.46Min: 68.66 / Avg: 69.09 / Max: 69.79Min: 68.61 / Avg: 68.79 / Max: 68.92Min: 70.85 / Avg: 71.28 / Max: 71.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 PDFCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.062, N = 23SE +/- 0.040, N = 25SE +/- 0.053, N = 25SE +/- 0.046, N = 256.2896.5066.3556.4121. LibreOffice 7.0.1.2 00(Build:2)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 6.06 / Avg: 6.29 / Max: 7.57Min: 6.3 / Avg: 6.51 / Max: 7.33Min: 6.11 / Avg: 6.36 / Max: 7.48Min: 6.16 / Avg: 6.41 / Max: 7.321. LibreOffice 7.0.1.2 00(Build:2)

Selenium

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

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.26, N = 3SE +/- 0.20, N = 335.236.236.336.41. chrome 86.0.4240.75
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X816243240Min: 34.9 / Avg: 35.23 / Max: 35.7Min: 35.9 / Avg: 36.2 / Max: 36.4Min: 35.8 / Avg: 36.3 / Max: 36.7Min: 36.1 / Avg: 36.43 / Max: 36.81. chrome 86.0.4240.75

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.68, N = 3SE +/- 0.56, N = 3138.0140.2142.4141.81. chrome 86.0.4240.75
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 137 / Avg: 138 / Max: 139Min: 139.7 / Avg: 140.17 / Max: 140.8Min: 141 / Avg: 142.37 / Max: 143.1Min: 141 / Avg: 141.83 / Max: 142.91. chrome 86.0.4240.75

LAME MP3 Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810SE +/- 0.004, N = 3SE +/- 0.110, N = 3SE +/- 0.097, N = 3SE +/- 0.054, N = 36.9667.0816.9646.8941. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 6.96 / Avg: 6.97 / Max: 6.97Min: 6.87 / Avg: 7.08 / Max: 7.24Min: 6.77 / Avg: 6.96 / Max: 7.08Min: 6.83 / Avg: 6.89 / Max: 71. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 326.826.726.226.91. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X612182430Min: 26.6 / Avg: 26.77 / Max: 27Min: 26.4 / Avg: 26.7 / Max: 27Min: 26 / Avg: 26.2 / Max: 26.5Min: 26.8 / Avg: 26.93 / Max: 271. firefox 81.0

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: 10Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X0.98891.97782.96673.95564.9445SE +/- 0.018, N = 3SE +/- 0.020, N = 3SE +/- 0.060, N = 3SE +/- 0.023, N = 34.3794.3954.3364.3051. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X246810Min: 4.35 / Avg: 4.38 / Max: 4.41Min: 4.37 / Avg: 4.4 / Max: 4.44Min: 4.27 / Avg: 4.34 / Max: 4.46Min: 4.26 / Avg: 4.31 / Max: 4.331. (CXX) g++ options: -O3 -fPIC

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X5K10K15K20K25KSE +/- 793.20, N = 12SE +/- 279.36, N = 3SE +/- 94.02, N = 3SE +/- 187.20, N = 3177552185122395228481. chrome 86.0.4240.75
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4K8K12K16K20KMin: 13521 / Avg: 17754.75 / Max: 22078Min: 21419 / Avg: 21851.33 / Max: 22374Min: 22256 / Avg: 22394.67 / Max: 22574Min: 22474 / Avg: 22848.33 / Max: 230421. chrome 86.0.4240.75

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 TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X4080120160200SE +/- 2.00, N = 3SE +/- 4.79, N = 15150190177175
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X306090120150Min: 146 / Avg: 150 / Max: 152Min: 152 / Avg: 177.33 / Max: 190

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 TransformCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X80160240320400SE +/- 1.18, N = 3SE +/- 16.54, N = 3SE +/- 6.33, N = 3SE +/- 4.86, N = 3390.00310.86371.29374.191. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier TransformCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X70140210280350Min: 387.64 / Avg: 390 / Max: 391.18Min: 280.74 / Avg: 310.86 / Max: 337.75Min: 364.22 / Avg: 371.29 / Max: 383.92Min: 367.53 / Avg: 374.19 / Max: 383.661. (CC) gcc options: -lm

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X7001400210028003500SE +/- 51.94, N = 20SE +/- 39.66, N = 4SE +/- 36.35, N = 42747313030503255
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Core i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X6001200180024003000Min: 2389 / Avg: 2747.2 / Max: 3290Min: 3040 / Avg: 3129.5 / Max: 3204Min: 3163 / Avg: 3254.5 / Max: 3338

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 ProteinCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215SE +/- 0.035, N = 3SE +/- 0.087, N = 3SE +/- 0.144, N = 3SE +/- 0.251, N = 158.7019.2629.48711.5411. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCore i9 10900KRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950X3691215Min: 8.65 / Avg: 8.7 / Max: 8.77Min: 9.17 / Avg: 9.26 / Max: 9.44Min: 9.21 / Avg: 9.49 / Max: 9.68Min: 9.22 / Avg: 11.54 / Max: 12.351. (CXX) g++ options: -O3 -pthread -lm

273 Results Shown

Mobile Neural Network
BLAKE2
Mlpack Benchmark
Mobile Neural Network:
  MobileNetV2_224
  SqueezeNetV1.0
m-queens
DaCapo Benchmark
TensorFlow Lite:
  Mobilenet Quant
  Mobilenet Float
Rodinia
TensorFlow Lite
Mobile Neural Network
NCNN
C-Ray
TensorFlow Lite:
  Inception ResNet V2
  Inception V4
OpenVINO:
  Face Detection 0106 FP16 - CPU
  Face Detection 0106 FP32 - CPU
ASTC Encoder
Tachyon
ASTC Encoder
Apache CouchDB
N-Queens
Zstd Compression
NCNN
Blender
Smallpt
GraphicsMagick
Bork File Encrypter
Blender
Kvazaar
FFTE
GraphicsMagick
Kvazaar
NeatBench
LuxCoreRender
Appleseed
Tungsten Renderer
LuxCoreRender
Basis Universal
Stockfish
oneDNN
Rodinia
G'MIC
CloverLeaf
NCNN
GraphicsMagick
OpenVINO
GraphicsMagick
Appleseed
Chaos Group V-RAY
POV-Ray
Coremark
Caffe
Polyhedron Fortran Benchmarks
Rodinia
John The Ripper
Blender
OpenVINO
Timed MPlayer Compilation
7-Zip Compression
Timed LLVM Compilation
GraphicsMagick
John The Ripper
Basis Universal
Aircrack-ng
YafaRay
GPAW
Optcarrot
OpenVINO:
  Age Gender Recognition Retail 0013 FP32 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
Embree
asmFish
OpenSSL
NCNN
Caffe
dav1d
Timed Linux Kernel Compilation
BRL-CAD
NAMD
dav1d
Timed FFmpeg Compilation
OpenVKL
Embree
Appleseed
Hierarchical INTegration
Kvazaar
Tungsten Renderer
PHPBench
Tungsten Renderer
Kvazaar
NCNN
AOM AV1
oneDNN
Kvazaar
ACES DGEMM
Embree
Zstd Compression
Kvazaar
GraphicsMagick
Embree
Numenta Anomaly Benchmark
AOM AV1
x264
NCNN
Kvazaar
OpenVINO
Monte Carlo Simulations of Ionised Nebulae
Polyhedron Fortran Benchmarks
PlaidML
GROMACS
PlaidML
OpenVINO
TensorFlow Lite
OpenVINO:
  Person Detection 0106 FP32 - CPU
  Person Detection 0106 FP16 - CPU
Selenium
Mobile Neural Network
Selenium
OpenVINO
Kvazaar
TTSIOD 3D Renderer
DeepSpeech
Intel Open Image Denoise
OpenVINO
NCNN
SVT-AV1
x265
oneDNN
RNNoise
ASKAP
Inkscape
SQLite Speedtest
Selenium
PyPerformance
PlaidML
libavif avifenc
Sunflow Rendering System
NCNN
SVT-AV1
Darktable
GIMP
PyPerformance
oneDNN
Tesseract OCR
Timed ImageMagick Compilation
DaCapo Benchmark:
  Jython
  Tradesoap
libavif avifenc
LULESH
Numenta Anomaly Benchmark
VP9 libvpx Encoding
dav1d
Selenium
Numenta Anomaly Benchmark
BYTE Unix Benchmark
x265
PyPerformance
SciMark
High Performance Conjugate Gradient
Algebraic Multi-Grid Benchmark
Selenium
GIMP
NCNN:
  CPU - squeezenet
  CPU - yolov4-tiny
Nebular Empirical Analysis Tool
Selenium
Perl Benchmarks
Timed Apache Compilation
GEGL:
  Antialias
  Reflect
  Rotate 90 Degrees
SciMark:
  Sparse Matrix Multiply
  Composite
Numenta Anomaly Benchmark
Himeno Benchmark
Selenium
NCNN
PyBench
Selenium
GNU Octave Benchmark
Timed MrBayes Analysis
G'MIC
TSCP
ASKAP
Botan
Fhourstones
Rodinia
Tungsten Renderer
AOBench
Botan
WebP Image Encode
Timed PHP Compilation
ASTC Encoder
Darktable
Radiance Benchmark
Polyhedron Fortran Benchmarks
Darktable
oneDNN
OCRMyPDF
SciMark
Botan
SciMark
AOM AV1
SVT-VP9
Crafty
Mlpack Benchmark
TNN
GEGL
WireGuard + Linux Networking Stack Stress Test
PyPerformance
TNN
PyPerformance
Botan
Numpy Benchmark
GIMP
dav1d
SVT-VP9
Perl Benchmarks
WebP Image Encode
NCNN
AOM AV1
Cython benchmark
oneDNN
Timed GDB GNU Debugger Compilation
Mlpack Benchmark
Radiance Benchmark
GIMP
WebP Image Encode
Selenium
GEGL
Selenium
Montage Astronomical Image Mosaic Engine
Selenium
LibRaw
libjpeg-turbo tjbench
Selenium
C-Blosc
Basis Universal
eSpeak-NG Speech Engine
Darktable
Mlpack Benchmark
FLAC Audio Encoding
Dolfyn
WebP Image Encode
Selenium
Rodinia
Selenium
Polyhedron Fortran Benchmarks
PlaidML
Basis Universal
Selenium
WebP Image Encode
VP9 libvpx Encoding
GEGL
Timed MAFFT Alignment
Selenium
NCNN
PlaidML
RawTherapee
libavif avifenc
NCNN
LibreOffice
Selenium:
  StyleBench - Google Chrome
  Speedometer - Google Chrome
LAME MP3 Encoding
Selenium
libavif avifenc
Selenium
ctx_clock
SciMark
DaCapo Benchmark
LAMMPS Molecular Dynamics Simulator