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  Test
  Duration
Ryzen 9 5900X
October 20 2020
  21 Hours, 3 Minutes
Ryzen 9 5950X
October 22 2020
  23 Hours, 56 Minutes
AMD Ryzen 9 5950X
October 23 2020
  22 Hours, 28 Minutes
AMD 5950X
October 24 2020
  22 Hours, 1 Minute
AMD Ryzen 9 5900X
October 25 2020
  22 Hours, 10 Minutes
AMD 5900X
October 26 2020
  22 Hours, 1 Minute
Ryzen 7 3800XT
October 28 2020
  23 Hours
Ryzen 5 3600X
October 29 2020
 
Ryzen 5 2600X
October 31 2020
  51 Minutes
Ryzen 5 2600
November 01 2020
  2 Hours, 35 Minutes
Core i5 10600K
November 02 2020
  1 Day, 4 Hours
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  17 Hours, 6 Minutes

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xxxProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600KAMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600 + 2000GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Navi 10 HDMI AudioASUS MG28URealtek 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 9.3.0ext41920x1080AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads)AMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads)AMD 17hAMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads)Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)ASUS PRIME Z490M-PLUS (1001 BIOS)Intel Comet Lake PCH32GB2000GB Corsair Force MP600ASUS Intel UHD 630 3GB (1200MHz)Realtek ALC887-VDIntelmodesetting 1.20.84.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa)3840x2160OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Ryzen 9 5900X: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009- Ryzen 9 5950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- AMD Ryzen 9 5950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- AMD 5950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- AMD Ryzen 9 5900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- AMD 5900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- Ryzen 7 3800XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 5 3600X: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701021- Ryzen 5 2600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Ryzen 5 2600: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Core i5 10600K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1Python Details- Python 2.7.18 + Python 3.8.5Security Details- Ryzen 9 5900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- AMD Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- AMD 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- AMD Ryzen 9 5900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- AMD 5900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 3800XT: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 3600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 2600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 2600: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Core i5 10600K: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

xxxncnn: Vulkan GPU - squeezenetlulesh: ncnn: Vulkan GPU - yolov4-tinyonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - mobilenetonednn: Recurrent Neural Network Inference - f32 - CPUncnn: Vulkan GPU-v2-v2 - mobilenet-v2graphics-magick: Swirlncnn: Vulkan GPU - mnasnetonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUtensorflow-lite: Inception ResNet V2tensorflow-lite: Mobilenet Floattensorflow-lite: Inception V4mt-dgemm: Sustained Floating-Point Rateqmcpack: namd: ATPase Simulation - 327,506 Atomstensorflow-lite: SqueezeNetc-ray: Total Time - 4K, 16 Rays Per Pixelncnn: Vulkan GPU - blazefacemlpack: scikit_linearridgeregressiononednn: IP Batch 1D - u8s8f32 - CPUastcenc: Exhaustivetensorflow-lite: Mobilenet Quantonednn: IP Batch All - u8s8f32 - CPUcp2k: Fayalite-FIST Datayafaray: Total Time For Sample Sceneastcenc: Thoroughindigobench: Bedroomtachyon: Total Timeblender: Barbershop - CPU-Onlyv-ray: CPUsmallpt: Global Illumination Renderer; 128 Samplesluxcorerender: DLSCbasis: UASTC Level 3blender: Pabellon Barcelona - CPU-Onlyembree: Pathtracer - Crownblender: Fishy Cat - CPU-Onlyncnn: Vulkan GPU-v3-v3 - mobilenet-v3incompact3d: Cylinderblender: Classroom - CPU-Onlygraphics-magick: Enhancedindigobench: Supercarluxcorerender: Rainbow Colors and Prismtungsten: Hairkvazaar: Bosphorus 4K - Slowappleseed: Emilykvazaar: Bosphorus 4K - Mediumsvt-hevc: 1080p 8-bit YUV To HEVC Video Encodeappleseed: Disney Materialospray: NASA Streamlines - SciVislammps: Rhodopsin Proteinpovray: Trace Timebasis: UASTC Level 2rays1bench: Large Sceneblender: BMW27 - CPU-Onlyappleseed: Material Testerospray: XFrog Forest - SciVislammps: 20k Atomsospray: NASA Streamlines - Path Tracerbuild-mplayer: Time To Compileopenvkl: vklBenchmarkospray: XFrog Forest - Path Traceropenvino: Age Gender Recognition Retail 0013 FP32 - CPUembree: Pathtracer - Asian Dragonttsiod-renderer: Phong Rendering With Soft-Shadow Mappingtungsten: Volumetric Causticgraphics-magick: Resizingopenvino: Age Gender Recognition Retail 0013 FP16 - CPUembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragon Objtungsten: Non-Exponentialbuild-ffmpeg: Time To Compilebuild-linux-kernel: Time To Compileonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUgraphics-magick: Sharpennumenta-nab: Earthgecko Skylinekvazaar: Bosphorus 4K - Ultra Fastospray: Magnetic Reconnection - SciViskvazaar: Bosphorus 4K - Very Fastgraphics-magick: Noise-Gaussianncnn: Vulkan GPU - efficientnet-b0x264: H.264 Video Encodingkvazaar: Bosphorus 1080p - Slowospray: San Miguel - Path Tracerospray: San Miguel - SciViskvazaar: Bosphorus 1080p - Mediumsvt-av1: Enc Mode 8 - 1080pbuild-llvm: Time To Compileonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUsvt-av1: Enc Mode 4 - 1080ptensorflow-lite: NASNet Mobileneat: fftw: Float + SSE - 1D FFT Size 4096x265: Bosphorus 4Kneatbench: numenta-nab: Relative Entropyembree: Pathtracer ISPC - Asian Dragononednn: Recurrent Neural Network Training - f32 - CPUembree: Pathtracer ISPC - Asian Dragon Objnumenta-nab: Windowed Gaussianfftw: Float + SSE - 2D FFT Size 4096build2: Time To Compileospray: Magnetic Reconnection - Path Tracernumenta-nab: Bayesian Changepointfftw: Stock - 1D FFT Size 32avifenc: 0fftw: Float + SSE - 2D FFT Size 32pennant: leblancbigpennant: sedovbigamg: ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet50avifenc: 2build-imagemagick: Time To Compilekvazaar: Bosphorus 1080p - Ultra Fastoidn: Memorialkvazaar: Bosphorus 1080p - Very Fastopenvino: Person Detection 0106 FP32 - CPUlczero: BLASopenvino: Person Detection 0106 FP16 - CPUgmic: 3D Elevated Function In Rand Colors, 100 Timesocrmypdf: Processing 60 Page PDF Documentopenvino: Face Detection 0106 FP16 - CPUmafft: Multiple Sequence Alignment - LSU RNAfftw: Float + SSE - 1D FFT Size 32openvino: Face Detection 0106 FP32 - CPUsvt-vp9: Visual Quality Optimized - Bosphorus 1080plibgav1: Summer Nature 1080pfftw: Stock - 2D FFT Size 32build-php: Time To Compileplaidml: No - Inference - ResNet 50 - CPUopenvkl: vklBenchmarkVdbVolumegpaw: Carbon Nanotubedav1d: Summer Nature 1080plibgav1: Chimera 1080pastcenc: Mediummrbayes: Primate Phylogeny Analysisdav1d: Chimera 1080p 10-bitopenvkl: vklBenchmarkStructuredVolumedav1d: Summer Nature 4Kbuild-gdb: Time To Compilebuild-gcc: Time To Compileffmpeg: H.264 HD To NTSC DVdav1d: Chimera 1080psvt-vp9: VMAF Optimized - Bosphorus 1080phmmer: Pfam Database Searchx265: Bosphorus 1080pfftw: Stock - 1D FFT Size 4096plaidml: No - Inference - VGG16 - CPUaom-av1: Speed 6 Realtimemocassin: Dust 2D tau100.0gromacs: Water Benchmarksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080plibgav1: Summer Nature 4Konednn: IP Batch 1D - f32 - CPUncnn: CPU - mobilenettungsten: Water Causticlibgav1: Chimera 1080p 10-bitaom-av1: Speed 8 Realtimeonednn: Convolution Batch Shapes Auto - f32 - CPUfftw: Stock - 2D FFT Size 4096dolfyn: Computational Fluid Dynamicsminife: Smallscikit-learn: libraw: Post-Processing Benchmarkinkscape: SVG Files To PNGradiance: Serialrsvg: SVG Files To PNGrnnoise: basis: UASTC Level 0gimp: resizeonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUradiance: SMP Parallelmnn: inception-v3darktable: Server Room - CPU-onlybasis: ETC1Sonednn: IP Batch All - f32 - CPUaom-av1: Speed 0 Two-Passncnn: CPU - efficientnet-b0openvino: Age Gender Recognition Retail 0013 FP32 - CPUcloverleaf: Lagrangian-Eulerian Hydrodynamicssvt-av1: Enc Mode 0 - 1080pmlpack: scikit_svmncnn: CPU-v2-v2 - mobilenet-v2astcenc: Fastbasis: UASTC Level 2 + RDO Post-Processinggmic: 2D Function Plotting, 1000 Timesopenvino: Age Gender Recognition Retail 0013 FP16 - CPUvpxenc: Speed 5graphics-magick: Rotateaom-av1: Speed 4 Two-Passtnn: CPU - SqueezeNet v1.1rawtherapee: Total Benchmark Timebuild-apache: Time To Compilenumpy: aom-av1: Speed 6 Two-Passencode-mp3: WAV To MP3tnn: CPU - MobileNet v2himeno: Poisson Pressure Solverncnn: CPU - yolov4-tinyncnn: CPU - resnet18mnn: MobileNetV2_224ncnn: CPU - googlenetavifenc: 8gimp: rotatetjbench: ncnn: CPU - squeezenetespeak: Text-To-Speech Synthesishugin: Panorama Photo Assistant + Stitching Timeopenvino: Person Detection 0106 FP16 - CPUvpxenc: Speed 0graphics-magick: HWB Color Spacemlpack: scikit_icaavifenc: 10webp: Quality 100, Losslessgegl: Scaleoctave-benchmark: darktable: Boat - CPU-onlyncnn: CPU - mnasnetopenvino: Person Detection 0106 FP32 - CPUwebp: Quality 100, Highest Compressionncnn: CPU-v3-v3 - mobilenet-v3montage: Mosaic of M17, K band, 1.5 deg x 1.5 degnumenta-nab: EXPoSEncnn: CPU - resnet50encode-ogg: WAV To Oggopenvino: Face Detection 0106 FP16 - CPUwebp: Defaultgimp: auto-levelscaffe: AlexNet - CPU - 100webp: Quality 100caffe: AlexNet - CPU - 200webp: Quality 100, Lossless, Highest Compressionmnn: resnet-v2-50ncnn: CPU - shufflenet-v2caffe: AlexNet - CPU - 1000ncnn: CPU - blazefaceopenvino: Face Detection 0106 FP32 - CPUencode-flac: WAV To FLACdarktable: Masskrug - CPU-onlygegl: Rotate 90 Degreesgegl: Color Enhancegimp: unsharp-maskcaffe: GoogleNet - CPU - 100gegl: Cropcaffe: GoogleNet - CPU - 1000ncnn: CPU - alexnetcaffe: GoogleNet - CPU - 200gegl: Cartoongegl: Tile Glassopenvkl: vklBenchmarkUnstructuredVolumemlpack: scikit_qdadeepspeech: CPUmnn: SqueezeNetV1.0gegl: Reflectgmic: Plotting Isosurface Of A 3D Volume, 1000 Timesgegl: Antialiasncnn: CPU - vgg16tesseract-ocr: Time To OCR 7 Imagesgegl: Wavelet Blurmnn: mobilenet-v1-1.0dcraw: RAW To PPM Image Conversionaobench: 2048 x 2048 - Total Timedarktable: Server Rack - CPU-onlyffte: N=256, 1D Complex FFT Routineopencv: DNN - Deep Neural NetworkRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTRyzen 5 3600XRyzen 5 2600XRyzen 5 2600Core i5 10600K3.1010.6584007.260.8179713.891.865.265.9932.39982.168792.301.88107159571383452.417766636.768196838.521.3255112281037.7780.782.591.10196121.6991186.113.9350689.95979.85415.382.54752.1675367.60265226.1172.9033.884303.2019.5481124.553.08213.636897278.233255.4693.1215.60659.01222.666029.1988.87140.58186433.3310.99027.22818.702102.6695.00132.6214394.4910.9566.7022.043236.942.4110980.2720.0897849.4785.96324153411012.4419.236417.99354.6743134.03051.6082.893321.4653818072.48544.7217.5425.323716.75167.9535.931.9723.9337.0744.820408.1722.724164.760315.39112048411.0577109924.0928.613.14320.2972192.24418.00977.3373196569.888333.3322.5671561557.751621622857.4092979.92128173.671.5312.574.4135.29019.239156.8811.7785.422.225542.2440.38617.1563.297.225219813.23204.14139.031650239.77411.5119420035.147727326.398833.6090.346.0157.483170.8383346443.738739237.3367.080635.9674.294847.89217.0079.66083.691174518.2930.901821.292224.9037.074.2365912.2921.189733.0658.8516.61488096.413.0524248.647.14454.0316.324431.35516.91815.5515.4175.40918.3766136.52127.6495.57037.35549.33220.435.030.524.190.16116.354.124.43471.15684.6920.5335.899973.54215.36845.28115.979547.805.535.637230.5765197.81990121.5913.113.02112.554.2988.381278.92781612.6421.54435.1552637.7910.00101848.374.13112.8774.4665.20712.9683.712650.385.3123.9757.895578.71723.884.2021800.161.1719.231391531.7997853927.74727.1963.813917101.491827.016.3516.12530.53444.58811.681996516.60699385713.7419948571.77123.7272371142.666666759.3655.568955.87424.44415.89930.33661.8219.13950.2045.59134.48428.8020.16935355.08774392230783.1110.6556017.230.6699263.871.865.325.5630.57862.1910872.291.50345121002062536.613454409.1083891163.31.0788094456.930.1910.782.280.807091100.8267823.511.6189933.68766.37912.783.15543.2737300.29324344.8943.5628.170247.7224.3407102.253.07202.305725225.944176.7433.8213.028010.79190.73485610.99107.36116.76324941.6712.38822.65815.941113.0178.32111.2915555.5413.1508.3119.006287.422.9613486.2625.42521024.674.94088186313559.3323.994322.71083.7763129.8545.2072.265681.1690623067.82349.0721.7426.614377.14171.7838.432.4730.2339.4248.947357.9962.816163.703926.05110586110.4547036626.5129.412.26125.6850159.41322.45956.9023077565.401333.3322.1511531752.338601553829.4024010.58928073.851.5313.144.5032.10718.177155.3913.6687.152.474152.4540.76815.5983.627.352217233.61218.5888.671580537.66211.4520857687.598485328.753669.9857.015.5561.833132.6287846736.261261231.1781.971666.4236.394688.96226.97102.30372.471166920.9325.091851.290234.0727.713.6554512.8019.537725.1453.0816.22838061.012.7204027.317.21355.0718.543430.74323.33215.3265.2006.32117.6438136.69327.5835.74336.64845.25600.445.260.583.860.16516.374.394.22466.662113.8260.5829.9810313.39213.04046.31417.083551.995.305.574227.0245218.65375822.6814.553.93713.394.2309.400284.34866113.1820.87534.8443228.379.49110750.194.12812.8374.6475.24414.1693.913180.335.3344.1757.054703.31725.024.1922193.671.13810.297402731.7848108527.29329.1153.874067721.552190.316.3736.10030.87345.04112.8111075496.801107077714.0021348172.18124.0582376873.951629962.0659.815586.54424.67615.72630.75765.3719.24950.5995.05834.55128.3400.17946603.1210.5823047.230.6737423.861.895.315.9630.53022.1910772.321.50487121220062552.813680338.9886261167.31.0788594677.130.2010.782.300.810341100.9367911.311.7405840.45965.99412.813.14843.5339299.62325064.9083.5728.186247.8924.1349102.433.08205.438711225.994156.7623.8213.092910.73190.56028610.95106.68117.5416854012.68123.02315.979111.4878.49111.7203655.5013.0668.2918.949287.812.9613499.9625.11301032.905.00757184613562.0323.901322.71683.7857829.99845.5732.266671.1788522967.67049.0121.7426.574347.21169.3238.492.4730.0139.3748.641355.8872.830623.724606.05210761510.4337052926.2029.112.37725.7231160.20222.60886.7293081665.343333.3322.0691521352.439611233827.4144004.07928098.821.5212.844.4131.97618.229154.9613.6086.152.454122.4740.48215.4913.617.372215193.61219.4688.681599537.45711.4920509634.090909327.333672.6056.795.5861.874132.5885595374.765766232.1582.502667.5646.431690.35226.84102.50071.711166520.8324.931831.291234.4727.733.6347212.6519.460025.1053.2216.25097978.312.8354027.627.16154.7318.546416.58223.51215.3745.2656.35417.6863134.07727.7495.72636.56645.42920.435.290.583.870.16416.204.364.25466.272115.2000.5830.0710233.39213.31146.29017.158550.805.325.567227.1275159.68696022.5214.583.92913.484.2689.365281.85233813.2621.41835.2163207.229.48109050.874.15312.2734.6405.20714.1243.893219.395.2384.1657.953710.94625.164.1702196.001.15410.292405541.7858131427.45828.5863.854052021.542198.036.3956.07930.86645.26212.9701073706.840106918714.121480671.99124.1372379297.597266062.1359.518716.23824.65615.80330.69265.6619.37250.8525.05135.01728.6730.17747583.1210.6081277.200.6733913.971.865.305.9331.29742.1910642.321.50497120465362124.113379939.1804321167.21.0703293933.130.1020.772.280.810491100.2967448.011.7691849.13865.90112.713.11543.1856299.11325004.9063.6128.020247.3324.2553101.943.08203.526082225.734146.7153.8213.116310.53189.50603710.73107.0611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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: Vulkan GPU - Model: squeezenetRyzen 9 5900XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 33.103.113.113.123.123.133.2425.94MIN: 3.05 / MAX: 3.57MIN: 3.06 / MAX: 3.31MIN: 3.06 / MAX: 3.24MIN: 3.06 / MAX: 3.49MIN: 3.06 / MAX: 3.31MIN: 3.05 / MAX: 12.06MIN: 3.13 / MAX: 3.5MIN: 25.61 / MAX: 26.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetRyzen 9 5900XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430Min: 3.1 / Avg: 3.1 / Max: 3.11Min: 3.1 / Avg: 3.11 / Max: 3.12Min: 3.1 / Avg: 3.11 / Max: 3.11Min: 3.11 / Avg: 3.12 / Max: 3.12Min: 3.1 / Avg: 3.12 / Max: 3.13Min: 3.09 / Avg: 3.13 / Max: 3.18Min: 3.21 / Avg: 3.24 / Max: 3.26Min: 25.79 / Avg: 25.94 / Max: 26.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 i5 10600KRyzen 7 3800XTAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950X160320480640800SE +/- 10.92, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3746.7610.9410.7710.7510.6610.6610.6110.581. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Core i5 10600KRyzen 7 3800XTAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950X130260390520650Min: 735.52 / Avg: 746.76 / Max: 768.59Min: 10.93 / Avg: 10.94 / Max: 10.96Min: 10.76 / Avg: 10.77 / Max: 10.77Min: 10.74 / Avg: 10.75 / Max: 10.75Min: 10.65 / Avg: 10.66 / Max: 10.66Min: 10.65 / Avg: 10.66 / Max: 10.67Min: 10.6 / Avg: 10.61 / Max: 10.61Min: 10.57 / Avg: 10.58 / Max: 10.591. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

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: Vulkan GPU - Model: yolov4-tinyAMD 5950XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1326395265SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 1.19, N = 37.207.207.237.237.267.278.2755.67MIN: 7.15 / MAX: 7.44MIN: 7.12 / MAX: 7.39MIN: 7.19 / MAX: 7.44MIN: 7.13 / MAX: 7.47MIN: 7.14 / MAX: 12.57MIN: 7.11 / MAX: 34.82MIN: 8.2 / MAX: 9.54MIN: 53.28 / MAX: 58.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyAMD 5950XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1122334455Min: 7.19 / Avg: 7.2 / Max: 7.21Min: 7.17 / Avg: 7.2 / Max: 7.23Min: 7.22 / Avg: 7.23 / Max: 7.25Min: 7.18 / Avg: 7.23 / Max: 7.25Min: 7.2 / Avg: 7.26 / Max: 7.31Min: 7.18 / Avg: 7.27 / Max: 7.42Min: 8.27 / Avg: 8.27 / Max: 8.28Min: 54.29 / Avg: 55.67 / Max: 58.031. (CXX) g++ options: -O3 -rdynamic -lgomp -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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT1.0182.0363.0544.0725.09SE +/- 0.000555, N = 3SE +/- 0.001127, N = 3SE +/- 0.001079, N = 3SE +/- 0.000940, N = 3SE +/- 0.000978, N = 3SE +/- 0.006141, N = 3SE +/- 0.009327, N = 3SE +/- 0.002355, N = 30.6699260.6733910.6737420.7702470.7719060.8179713.3018604.524440MIN: 0.75MIN: 3.22MIN: 4.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT246810Min: 0.67 / Avg: 0.67 / Max: 0.67Min: 0.67 / Avg: 0.67 / Max: 0.68Min: 0.67 / Avg: 0.67 / Max: 0.68Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.81 / Avg: 0.82 / Max: 0.83Min: 3.28 / Avg: 3.3 / Max: 3.32Min: 4.52 / Avg: 4.52 / Max: 4.531. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -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: Vulkan GPU - Model: googlenetAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTAMD 5950XCore i5 10600K510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 33.843.863.873.873.893.893.9722.07MIN: 3.8 / MAX: 4.4MIN: 3.8 / MAX: 4.4MIN: 3.81 / MAX: 4.38MIN: 3.8 / MAX: 4.41MIN: 3.81 / MAX: 4.55MIN: 3.82 / MAX: 4.43MIN: 3.81 / MAX: 14.78MIN: 21.32 / MAX: 22.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTAMD 5950XCore i5 10600K510152025Min: 3.83 / Avg: 3.84 / Max: 3.86Min: 3.83 / Avg: 3.86 / Max: 3.9Min: 3.86 / Avg: 3.87 / Max: 3.89Min: 3.87 / Avg: 3.87 / Max: 3.88Min: 3.84 / Avg: 3.89 / Max: 3.97Min: 3.84 / Avg: 3.89 / Max: 3.98Min: 3.86 / Avg: 3.97 / Max: 4.16Min: 22.03 / Avg: 22.07 / Max: 22.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.36, N = 31.861.861.861.861.861.891.939.26MIN: 1.82 / MAX: 2.07MIN: 1.82 / MAX: 2.02MIN: 1.82 / MAX: 2.21MIN: 1.82 / MAX: 2.23MIN: 1.82 / MAX: 2.75MIN: 1.83 / MAX: 2.12MIN: 1.91 / MAX: 2.2MIN: 5.65 / MAX: 11.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K3691215Min: 1.83 / Avg: 1.86 / Max: 1.93Min: 1.83 / Avg: 1.86 / Max: 1.91Min: 1.84 / Avg: 1.86 / Max: 1.91Min: 1.83 / Avg: 1.86 / Max: 1.92Min: 1.83 / Avg: 1.86 / Max: 1.91Min: 1.84 / Avg: 1.89 / Max: 1.92Min: 1.93 / Avg: 1.93 / Max: 1.93Min: 8.68 / Avg: 9.26 / Max: 9.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRyzen 9 5900XAMD 5900XRyzen 7 3800XTAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600K612182430SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 35.265.265.265.275.305.315.3223.39MIN: 4.99 / MAX: 6.73MIN: 5.01 / MAX: 9.33MIN: 5.03 / MAX: 5.75MIN: 5.04 / MAX: 10.99MIN: 5.03 / MAX: 10.61MIN: 5.05 / MAX: 19.98MIN: 5.06 / MAX: 18.82MIN: 22.9 / MAX: 23.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRyzen 9 5900XAMD 5900XRyzen 7 3800XTAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600K510152025Min: 5.25 / Avg: 5.26 / Max: 5.26Min: 5.25 / Avg: 5.26 / Max: 5.28Min: 5.25 / Avg: 5.26 / Max: 5.27Min: 5.25 / Avg: 5.27 / Max: 5.31Min: 5.27 / Avg: 5.3 / Max: 5.33Min: 5.26 / Avg: 5.31 / Max: 5.4Min: 5.28 / Avg: 5.32 / Max: 5.39Min: 23.38 / Avg: 23.39 / Max: 23.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.41, N = 35.565.595.595.935.965.996.5523.64MIN: 5.38 / MAX: 5.9MIN: 5.17 / MAX: 5.97MIN: 4.96 / MAX: 5.98MIN: 5.52 / MAX: 6.15MIN: 5.59 / MAX: 6.09MIN: 5.92 / MAX: 9.14MIN: 6.48 / MAX: 6.95MIN: 22.61 / MAX: 26.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430Min: 5.54 / Avg: 5.56 / Max: 5.57Min: 5.51 / Avg: 5.59 / Max: 5.64Min: 5.49 / Avg: 5.59 / Max: 5.66Min: 5.92 / Avg: 5.93 / Max: 5.96Min: 5.92 / Avg: 5.96 / Max: 5.99Min: 5.96 / Avg: 5.99 / Max: 6.02Min: 6.54 / Avg: 6.55 / Max: 6.56Min: 22.82 / Avg: 23.64 / Max: 24.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K306090120150SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.27, N = 3SE +/- 0.50, N = 329.5829.8330.5330.5831.3032.4047.59121.09MIN: 28.74MIN: 28.96MIN: 29.87MIN: 29.83MIN: 30.53MIN: 29.33MIN: 46.54MIN: 119.871. (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 Inference - Data Type: f32 - Engine: CPUAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100Min: 29.44 / Avg: 29.58 / Max: 29.76Min: 29.64 / Avg: 29.83 / Max: 30.09Min: 30.35 / Avg: 30.53 / Max: 30.65Min: 30.39 / Avg: 30.58 / Max: 30.88Min: 31.08 / Avg: 31.3 / Max: 31.74Min: 32.27 / Avg: 32.4 / Max: 32.49Min: 47.25 / Avg: 47.59 / Max: 48.13Min: 120.48 / Avg: 121.09 / Max: 122.081. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -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: Vulkan GPU-v2-v2 - Model: mobilenet-v2Ryzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K246810SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 32.162.192.192.192.192.192.217.86MIN: 2.08 / MAX: 2.45MIN: 2.16 / MAX: 2.47MIN: 2.16 / MAX: 2.43MIN: 2.16 / MAX: 2.69MIN: 2.16 / MAX: 3.23MIN: 2.16 / MAX: 2.35MIN: 2.18 / MAX: 2.5MIN: 7.1 / MAX: 8.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Ryzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 2.11 / Avg: 2.16 / Max: 2.19Min: 2.19 / Avg: 2.19 / Max: 2.19Min: 2.19 / Avg: 2.19 / Max: 2.2Min: 2.19 / Avg: 2.19 / Max: 2.19Min: 2.19 / Avg: 2.19 / Max: 2.2Min: 2.18 / Avg: 2.19 / Max: 2.19Min: 2.21 / Avg: 2.21 / Max: 2.21Min: 7.75 / Avg: 7.86 / Max: 7.991. (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: SwirlRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K2004006008001000SE +/- 1.73, N = 3SE +/- 2.03, N = 3SE +/- 2.60, N = 3SE +/- 1.15, N = 3SE +/- 1.20, N = 3SE +/- 2.00, N = 3SE +/- 0.58, N = 31087107710648988948795613011. (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: SwirlRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K2004006008001000Min: 1084 / Avg: 1087 / Max: 1090Min: 1074 / Avg: 1077.33 / Max: 1081Min: 1059 / Avg: 1063.67 / Max: 1068Min: 896 / Avg: 898 / Max: 900Min: 892 / Avg: 893.67 / Max: 896Min: 877 / Avg: 879 / Max: 883Min: 560 / Avg: 561 / Max: 5621. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRyzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTAMD Ryzen 9 5950XAMD 5950XCore i5 10600K246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 32.292.292.302.302.312.322.328.09MIN: 2.26 / MAX: 2.45MIN: 2.26 / MAX: 2.46MIN: 2.26 / MAX: 2.52MIN: 2.26 / MAX: 2.92MIN: 2.28 / MAX: 2.64MIN: 2.27 / MAX: 11.51MIN: 2.26 / MAX: 8.04MIN: 7.6 / MAX: 8.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRyzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTAMD Ryzen 9 5950XAMD 5950XCore i5 10600K3691215Min: 2.29 / Avg: 2.29 / Max: 2.29Min: 2.29 / Avg: 2.29 / Max: 2.3Min: 2.29 / Avg: 2.3 / Max: 2.31Min: 2.29 / Avg: 2.3 / Max: 2.3Min: 2.31 / Avg: 2.31 / Max: 2.32Min: 2.29 / Avg: 2.32 / Max: 2.38Min: 2.3 / Avg: 2.32 / Max: 2.37Min: 8.05 / Avg: 8.09 / Max: 8.121. (CXX) g++ options: -O3 -rdynamic -lgomp -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_3d - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT1.11242.22483.33724.44965.562SE +/- 0.00012, N = 3SE +/- 0.00081, N = 3SE +/- 0.00064, N = 3SE +/- 0.00168, N = 3SE +/- 0.00059, N = 3SE +/- 0.01459, N = 3SE +/- 0.03038, N = 13SE +/- 0.00486, N = 31.503451.504871.504971.800351.803641.881073.987274.94415MIN: 1.41MIN: 1.43MIN: 1.43MIN: 1.74MIN: 1.74MIN: 1.74MIN: 3.92MIN: 4.821. (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: u8s8f32 - Engine: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT246810Min: 1.5 / Avg: 1.5 / Max: 1.5Min: 1.5 / Avg: 1.5 / Max: 1.51Min: 1.5 / Avg: 1.5 / Max: 1.51Min: 1.8 / Avg: 1.8 / Max: 1.8Min: 1.8 / Avg: 1.8 / Max: 1.8Min: 1.86 / Avg: 1.88 / Max: 1.91Min: 3.95 / Avg: 3.99 / Max: 4.35Min: 4.94 / Avg: 4.94 / Max: 4.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K800K1600K2400K3200K4000KSE +/- 1059.03, N = 3SE +/- 922.62, N = 3SE +/- 752.48, N = 3SE +/- 652.82, N = 3SE +/- 156.24, N = 3SE +/- 597.39, N = 3SE +/- 127.06, N = 3SE +/- 1422.33, N = 312046531210020121220015957131595777160000723507573931423
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K700K1400K2100K2800K3500KMin: 1202600 / Avg: 1204653.33 / Max: 1206130Min: 1208190 / Avg: 1210020 / Max: 1211140Min: 1210990 / Avg: 1212200 / Max: 1213580Min: 1594560 / Avg: 1595713.33 / Max: 1596820Min: 1595480 / Avg: 1595776.67 / Max: 1596010Min: 1598900 / Avg: 1600006.67 / Max: 1600950Min: 2350540 / Avg: 2350756.67 / Max: 2350980Min: 3928580 / Avg: 3931423.33 / Max: 3932920

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K40K80K120K160K200KSE +/- 50.63, N = 3SE +/- 56.55, N = 3SE +/- 26.95, N = 3SE +/- 22.20, N = 3SE +/- 51.41, N = 3SE +/- 12.11, N = 3SE +/- 31.18, N = 3SE +/- 29.61, N = 362124.162536.662552.883302.583452.483535.4120736.0202394.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K40K80K120K160K200KMin: 62024.1 / Avg: 62124.07 / Max: 62188Min: 62423.8 / Avg: 62536.63 / Max: 62599.7Min: 62499.3 / Avg: 62552.77 / Max: 62585.4Min: 83262.9 / Avg: 83302.47 / Max: 83339.7Min: 83349.6 / Avg: 83452.4 / Max: 83505.8Min: 83513.8 / Avg: 83535.43 / Max: 83555.7Min: 120682 / Avg: 120736 / Max: 120790Min: 202349 / Avg: 202394.33 / Max: 202450

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K900K1800K2700K3600K4500KSE +/- 551.19, N = 3SE +/- 825.97, N = 3SE +/- 19648.57, N = 3SE +/- 184.15, N = 3SE +/- 967.30, N = 3SE +/- 404.15, N = 3SE +/- 795.87, N = 3SE +/- 863.82, N = 313379931345440136803317766631777523178184025996334354007
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K800K1600K2400K3200K4000KMin: 1336970 / Avg: 1337993.33 / Max: 1338860Min: 1343820 / Avg: 1345440 / Max: 1346530Min: 1345890 / Avg: 1368033.33 / Max: 1407220Min: 1776310 / Avg: 1776663.33 / Max: 1776930Min: 1775870 / Avg: 1777523.33 / Max: 1779220Min: 1781340 / Avg: 1781840 / Max: 1782640Min: 2598100 / Avg: 2599633.33 / Max: 2600770Min: 4352280 / Avg: 4354006.67 / Max: 4354920

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 RateAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.094386, N = 3SE +/- 0.078688, N = 3SE +/- 0.108214, N = 3SE +/- 0.100813, N = 3SE +/- 0.088412, N = 3SE +/- 0.113848, N = 3SE +/- 0.027265, N = 3SE +/- 0.040049, N = 49.1804329.1083898.9886267.5656777.3599196.7681962.9729222.8281161. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 8.99 / Avg: 9.18 / Max: 9.3Min: 8.97 / Avg: 9.11 / Max: 9.24Min: 8.8 / Avg: 8.99 / Max: 9.18Min: 7.36 / Avg: 7.57 / Max: 7.67Min: 7.21 / Avg: 7.36 / Max: 7.52Min: 6.64 / Avg: 6.77 / Max: 7Min: 2.92 / Avg: 2.97 / Max: 3.01Min: 2.72 / Avg: 2.83 / Max: 2.911. (CC) gcc options: -O3 -march=native -fopenmp

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.8Ryzen 5 2600Ryzen 7 3800XTCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950X30060090012001500359.84577.33605.78831.02832.19838.521163.301167.201167.301. (CXX) g++ options: -fopenmp -fomit-frame-pointer -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -march=native -O3 -ffast-math -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 AtomsAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XTRyzen 5 2600XRyzen 5 26000.7761.5522.3283.1043.88SE +/- 0.00199, N = 3SE +/- 0.00400, N = 3SE +/- 0.00424, N = 3SE +/- 0.00097, N = 3SE +/- 0.00318, N = 3SE +/- 0.01127, N = 3SE +/- 0.00315, N = 3SE +/- 0.00119, N = 3SE +/- 0.00220, N = 3SE +/- 0.00095, N = 31.070321.078801.078851.274091.282741.325512.088842.109893.158433.44905
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XTRyzen 5 2600XRyzen 5 2600246810Min: 1.07 / Avg: 1.07 / Max: 1.07Min: 1.07 / Avg: 1.08 / Max: 1.09Min: 1.07 / Avg: 1.08 / Max: 1.08Min: 1.27 / Avg: 1.27 / Max: 1.28Min: 1.28 / Avg: 1.28 / Max: 1.29Min: 1.31 / Avg: 1.33 / Max: 1.35Min: 2.08 / Avg: 2.09 / Max: 2.09Min: 2.11 / Avg: 2.11 / Max: 2.11Min: 3.15 / Avg: 3.16 / Max: 3.16Min: 3.45 / Avg: 3.45 / Max: 3.45

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K60K120K180K240K300KSE +/- 78.14, N = 3SE +/- 84.16, N = 3SE +/- 79.62, N = 3SE +/- 88.75, N = 3SE +/- 93.43, N = 3SE +/- 87.08, N = 3SE +/- 84.11, N = 3SE +/- 11.72, N = 393933.194456.994677.1122810.0122881.0123294.0180275.0296361.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K50K100K150K200K250KMin: 93789.1 / Avg: 93933.1 / Max: 94057.7Min: 94293.8 / Avg: 94456.93 / Max: 94574.4Min: 94525.4 / Avg: 94677.1 / Max: 94794.9Min: 122669 / Avg: 122810.33 / Max: 122974Min: 122707 / Avg: 122881 / Max: 123027Min: 123128 / Avg: 123293.67 / Max: 123423Min: 180115 / Avg: 180275 / Max: 180400Min: 296343 / Avg: 296361 / Max: 296383

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 PixelAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 330.1030.1930.2037.7337.7837.9159.9994.671. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100Min: 30.02 / Avg: 30.1 / Max: 30.18Min: 30.11 / Avg: 30.19 / Max: 30.25Min: 30.07 / Avg: 30.2 / Max: 30.32Min: 37.66 / Avg: 37.73 / Max: 37.77Min: 37.74 / Avg: 37.78 / Max: 37.83Min: 37.81 / Avg: 37.91 / Max: 38.06Min: 59.97 / Avg: 59.99 / Max: 60Min: 94.63 / Avg: 94.67 / Max: 94.741. (CC) gcc options: -lm -lpthread -O3

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: Vulkan GPU - Model: blazefaceAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K0.53551.0711.60652.1422.6775SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 30.770.770.770.780.780.780.782.38MIN: 0.76 / MAX: 1.16MIN: 0.75 / MAX: 1.15MIN: 0.75 / MAX: 1.15MIN: 0.76 / MAX: 2.24MIN: 0.76 / MAX: 1.16MIN: 0.75 / MAX: 1.17MIN: 0.76 / MAX: 1.28MIN: 2.11 / MAX: 2.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K246810Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.76 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.78 / Max: 0.79Min: 0.78 / Avg: 0.78 / Max: 0.79Min: 0.76 / Avg: 0.78 / Max: 0.79Min: 0.77 / Avg: 0.78 / Max: 0.79Min: 2.26 / Avg: 2.38 / Max: 2.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionRyzen 7 3800XTRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600K246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.162.282.282.302.552.572.596.62
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionRyzen 7 3800XTRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600K3691215Min: 2.14 / Avg: 2.16 / Max: 2.18Min: 2.28 / Avg: 2.28 / Max: 2.29Min: 2.27 / Avg: 2.28 / Max: 2.3Min: 2.29 / Avg: 2.3 / Max: 2.3Min: 2.53 / Avg: 2.55 / Max: 2.57Min: 2.56 / Avg: 2.57 / Max: 2.58Min: 2.56 / Avg: 2.59 / Max: 2.61Min: 6.61 / Avg: 6.62 / Max: 6.65

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: u8s8f32 - Engine: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT0.55551.1111.66652.2222.7775SE +/- 0.001882, N = 3SE +/- 0.000234, N = 3SE +/- 0.002416, N = 3SE +/- 0.004610, N = 3SE +/- 0.004098, N = 3SE +/- 0.003773, N = 3SE +/- 0.001975, N = 3SE +/- 0.002553, N = 30.8070910.8103410.8104911.0430201.0461101.1019602.0062002.468730MIN: 0.76MIN: 0.77MIN: 0.77MIN: 1.01MIN: 1.01MIN: 1.02MIN: 1.95MIN: 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: IP Batch 1D - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT246810Min: 0.8 / Avg: 0.81 / Max: 0.81Min: 0.81 / Avg: 0.81 / Max: 0.81Min: 0.81 / Avg: 0.81 / Max: 0.82Min: 1.03 / Avg: 1.04 / Max: 1.05Min: 1.04 / Avg: 1.05 / Max: 1.05Min: 1.09 / Avg: 1.1 / Max: 1.11Min: 2 / Avg: 2.01 / Max: 2.01Min: 2.47 / Avg: 2.47 / Max: 2.471. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: ExhaustiveAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K70140210280350SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3100.29100.82100.93121.69121.94122.05200.02306.581. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K60120180240300Min: 100.02 / Avg: 100.29 / Max: 100.48Min: 100.59 / Avg: 100.82 / Max: 100.95Min: 100.68 / Avg: 100.93 / Max: 101.1Min: 121.48 / Avg: 121.69 / Max: 121.82Min: 121.58 / Avg: 121.94 / Max: 122.46Min: 121.76 / Avg: 122.05 / Max: 122.23Min: 199.85 / Avg: 200.02 / Max: 200.11Min: 306.38 / Avg: 306.58 / Max: 306.811. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K40K80K120K160K200KSE +/- 38.18, N = 3SE +/- 28.01, N = 3SE +/- 69.06, N = 3SE +/- 53.00, N = 3SE +/- 25.24, N = 3SE +/- 28.54, N = 3SE +/- 78.89, N = 3SE +/- 3.18, N = 367448.067823.567911.391169.791186.191346.8123621.0205456.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K40K80K120K160K200KMin: 67380.2 / Avg: 67448.03 / Max: 67512.3Min: 67783.3 / Avg: 67823.53 / Max: 67877.4Min: 67774.5 / Avg: 67911.27 / Max: 67996.4Min: 91113.5 / Avg: 91169.67 / Max: 91275.6Min: 91150.5 / Avg: 91186.1 / Max: 91234.9Min: 91310.9 / Avg: 91346.83 / Max: 91403.2Min: 123481 / Avg: 123621 / Max: 123754Min: 205452 / Avg: 205455.67 / Max: 205462

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: u8s8f32 - Engine: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 311.6211.7411.7713.3513.3713.9428.1735.37MIN: 11.06MIN: 11.28MIN: 11.29MIN: 13.04MIN: 13.04MIN: 13.15MIN: 27.57MIN: 34.91. (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: u8s8f32 - Engine: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT816243240Min: 11.6 / Avg: 11.62 / Max: 11.65Min: 11.72 / Avg: 11.74 / Max: 11.75Min: 11.75 / Avg: 11.77 / Max: 11.8Min: 13.33 / Avg: 13.35 / Max: 13.36Min: 13.32 / Avg: 13.37 / Max: 13.39Min: 13.79 / Avg: 13.93 / Max: 14.04Min: 28.17 / Avg: 28.17 / Max: 28.17Min: 35.35 / Avg: 35.37 / Max: 35.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. This test profile currently makes use of the OpenMP implementation and using the Fayalite-FIST molecular dynamics run and measures the total time to complete. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 6.1Fayalite-FIST DataRyzen 7 3800XTRyzen 5 2600XRyzen 5 2600Core i5 10600KAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950X2004006008001000308.38506.76578.04601.45621.56651.07689.96840.46849.14933.69

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 SceneAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K4080120160200SE +/- 0.21, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 3SE +/- 0.59, N = 365.9065.9966.3879.5879.7379.85134.45198.601. (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 SceneAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K4080120160200Min: 65.68 / Avg: 65.9 / Max: 66.31Min: 65.78 / Avg: 65.99 / Max: 66.16Min: 66.3 / Avg: 66.38 / Max: 66.44Min: 79.29 / Avg: 79.57 / Max: 79.94Min: 79.53 / Avg: 79.73 / Max: 79.83Min: 79.82 / Avg: 79.85 / Max: 79.92Min: 134 / Avg: 134.45 / Max: 134.78Min: 197.44 / Avg: 198.6 / Max: 199.381. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -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: ThoroughAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K918273645SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 312.7112.7812.8115.3815.3815.4125.1338.001. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K816243240Min: 12.67 / Avg: 12.71 / Max: 12.74Min: 12.74 / Avg: 12.78 / Max: 12.82Min: 12.76 / Avg: 12.81 / Max: 12.85Min: 15.32 / Avg: 15.38 / Max: 15.41Min: 15.34 / Avg: 15.38 / Max: 15.41Min: 15.36 / Avg: 15.41 / Max: 15.45Min: 25.09 / Avg: 25.13 / Max: 25.16Min: 37.99 / Avg: 38 / Max: 38.011. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: BedroomRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K0.70991.41982.12972.83963.5495SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.011, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 33.1553.1483.1152.5512.5472.5471.5271.058
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: BedroomRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 3.15 / Avg: 3.15 / Max: 3.16Min: 3.14 / Avg: 3.15 / Max: 3.16Min: 3.1 / Avg: 3.11 / Max: 3.12Min: 2.55 / Avg: 2.55 / Max: 2.56Min: 2.54 / Avg: 2.55 / Max: 2.57Min: 2.54 / Avg: 2.55 / Max: 2.55Min: 1.52 / Avg: 1.53 / Max: 1.53Min: 1.06 / Avg: 1.06 / Max: 1.06

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 TimeAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K306090120150SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 1.07, N = 1243.1943.2743.5352.1752.4652.5185.71125.901. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100Min: 42.99 / Avg: 43.19 / Max: 43.47Min: 43.05 / Avg: 43.27 / Max: 43.39Min: 43.36 / Avg: 43.53 / Max: 43.69Min: 52.1 / Avg: 52.17 / Max: 52.21Min: 52.12 / Avg: 52.46 / Max: 52.99Min: 52.24 / Avg: 52.51 / Max: 52.66Min: 85.53 / Avg: 85.71 / Max: 85.84Min: 120.73 / Avg: 125.9 / Max: 135.691. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K2004006008001000SE +/- 0.29, N = 3SE +/- 0.83, N = 3SE +/- 0.30, N = 3SE +/- 0.77, N = 3SE +/- 0.34, N = 3SE +/- 0.61, N = 3SE +/- 0.62, N = 3SE +/- 0.20, N = 3299.11299.62300.29367.60367.67367.90615.59869.42
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K150300450600750Min: 298.57 / Avg: 299.11 / Max: 299.56Min: 298.65 / Avg: 299.62 / Max: 301.26Min: 299.69 / Avg: 300.29 / Max: 300.67Min: 366.15 / Avg: 367.6 / Max: 368.77Min: 367.21 / Avg: 367.67 / Max: 368.32Min: 366.96 / Avg: 367.9 / Max: 369.04Min: 614.36 / Avg: 615.59 / Max: 616.34Min: 869.2 / Avg: 869.42 / Max: 869.81

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: CPUAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K7K14K21K28K35KSE +/- 60.77, N = 3SE +/- 33.59, N = 3SE +/- 29.67, N = 3SE +/- 96.88, N = 3SE +/- 88.38, N = 3SE +/- 41.19, N = 3SE +/- 37.04, N = 3SE +/- 49.03, N = 33250632500324342652226311263101549711219
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K6K12K18K24K30KMin: 32411 / Avg: 32505.67 / Max: 32619Min: 32445 / Avg: 32500.33 / Max: 32561Min: 32378 / Avg: 32434 / Max: 32479Min: 26335 / Avg: 26521.67 / Max: 26660Min: 26136 / Avg: 26311 / Max: 26420Min: 26243 / Avg: 26310 / Max: 26385Min: 15441 / Avg: 15497 / Max: 15567Min: 11122 / Avg: 11219 / Max: 11280

Smallpt

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K48121620SE +/- 0.001, N = 3SE +/- 0.017, N = 3SE +/- 0.001, N = 3SE +/- 0.006, N = 3SE +/- 0.023, N = 3SE +/- 0.028, N = 3SE +/- 0.001, N = 3SE +/- 0.014, N = 34.8944.9064.9086.1176.1416.1829.85514.1721. (CXX) g++ options: -fopenmp -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K48121620Min: 4.89 / Avg: 4.89 / Max: 4.9Min: 4.89 / Avg: 4.91 / Max: 4.94Min: 4.91 / Avg: 4.91 / Max: 4.91Min: 6.11 / Avg: 6.12 / Max: 6.13Min: 6.12 / Avg: 6.14 / Max: 6.19Min: 6.13 / Avg: 6.18 / Max: 6.21Min: 9.85 / Avg: 9.86 / Max: 9.86Min: 14.15 / Avg: 14.17 / Max: 14.21. (CXX) g++ options: -fopenmp -O3

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: DLSCAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K0.81231.62462.43693.24924.0615SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.613.573.562.952.912.901.791.26MIN: 3.45 / MAX: 3.81MIN: 3.43 / MAX: 3.76MIN: 3.42 / MAX: 3.74MIN: 2.81 / MAX: 3.1MIN: 2.78 / MAX: 3.06MIN: 2.78 / MAX: 3.03MIN: 1.71 / MAX: 1.85MIN: 1.19 / MAX: 1.29
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 3.58 / Avg: 3.61 / Max: 3.64Min: 3.56 / Avg: 3.57 / Max: 3.59Min: 3.55 / Avg: 3.56 / Max: 3.58Min: 2.93 / Avg: 2.95 / Max: 2.98Min: 2.89 / Avg: 2.91 / Max: 2.95Min: 2.88 / Avg: 2.9 / Max: 2.92Min: 1.78 / Avg: 1.79 / Max: 1.81Min: 1.23 / Avg: 1.26 / Max: 1.27

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 3AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K20406080100SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 328.0228.1728.1933.8233.8833.9055.2080.131. (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 3AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K1530456075Min: 27.95 / Avg: 28.02 / Max: 28.07Min: 28.09 / Avg: 28.17 / Max: 28.25Min: 28.15 / Avg: 28.19 / Max: 28.23Min: 33.73 / Avg: 33.82 / Max: 33.86Min: 33.82 / Avg: 33.88 / Max: 33.94Min: 33.86 / Avg: 33.9 / Max: 33.96Min: 55.14 / Avg: 55.2 / Max: 55.23Min: 80.11 / Avg: 80.13 / Max: 80.161. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K150300450600750SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.28, N = 3SE +/- 0.34, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 3SE +/- 0.45, N = 3SE +/- 1.26, N = 3247.33247.72247.89303.07303.20303.43478.68703.00
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K120240360480600Min: 247.23 / Avg: 247.33 / Max: 247.4Min: 247.42 / Avg: 247.72 / Max: 248Min: 247.32 / Avg: 247.89 / Max: 248.18Min: 302.48 / Avg: 303.07 / Max: 303.65Min: 303.15 / Avg: 303.2 / Max: 303.28Min: 303.14 / Avg: 303.43 / Max: 303.83Min: 477.79 / Avg: 478.68 / Max: 479.27Min: 700.78 / Avg: 703 / Max: 705.14

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430SE +/- 0.1426, N = 3SE +/- 0.0443, N = 3SE +/- 0.0349, N = 3SE +/- 0.0654, N = 3SE +/- 0.0980, N = 3SE +/- 0.1247, N = 3SE +/- 0.0151, N = 3SE +/- 0.0166, N = 324.340724.255324.134919.901819.803619.548111.61698.5857MIN: 23.86 / MAX: 25.2MIN: 23.99 / MAX: 24.95MIN: 23.87 / MAX: 24.81MIN: 19.63 / MAX: 20.38MIN: 19.18 / MAX: 20.43MIN: 18.83 / MAX: 20.33MIN: 11.52 / MAX: 11.84MIN: 8.52 / MAX: 8.72
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430Min: 24.06 / Avg: 24.34 / Max: 24.53Min: 24.21 / Avg: 24.26 / Max: 24.34Min: 24.08 / Avg: 24.13 / Max: 24.2Min: 19.77 / Avg: 19.9 / Max: 19.99Min: 19.65 / Avg: 19.8 / Max: 19.98Min: 19.3 / Avg: 19.55 / Max: 19.7Min: 11.59 / Avg: 11.62 / Max: 11.63Min: 8.56 / Avg: 8.59 / Max: 8.62

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-OnlyAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K60120180240300SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.32, N = 3101.94102.25102.43124.32124.55124.78198.70288.14
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K50100150200250Min: 101.83 / Avg: 101.94 / Max: 102.13Min: 102.14 / Avg: 102.25 / Max: 102.4Min: 102.29 / Avg: 102.43 / Max: 102.52Min: 124.13 / Avg: 124.32 / Max: 124.44Min: 124.47 / Avg: 124.55 / Max: 124.68Min: 124.43 / Avg: 124.78 / Max: 125.2Min: 198.57 / Avg: 198.7 / Max: 198.87Min: 287.56 / Avg: 288.14 / Max: 288.65

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: Vulkan GPU-v3-v3 - Model: mobilenet-v3Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 7 3800XTAMD 5900XCore i5 10600K246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 33.073.073.083.083.083.093.108.66MIN: 3.03 / MAX: 3.21MIN: 3.03 / MAX: 3.29MIN: 3.03 / MAX: 4.08MIN: 3.04 / MAX: 3.3MIN: 3.04 / MAX: 3.32MIN: 3.05 / MAX: 3.53MIN: 3.03 / MAX: 8.53MIN: 7.95 / MAX: 8.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 7 3800XTAMD 5900XCore i5 10600K3691215Min: 3.07 / Avg: 3.07 / Max: 3.08Min: 3.07 / Avg: 3.07 / Max: 3.08Min: 3.07 / Avg: 3.08 / Max: 3.1Min: 3.07 / Avg: 3.08 / Max: 3.08Min: 3.07 / Avg: 3.08 / Max: 3.09Min: 3.09 / Avg: 3.09 / Max: 3.1Min: 3.07 / Avg: 3.1 / Max: 3.15Min: 8.59 / Avg: 8.66 / Max: 8.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600KRyzen 5 2600120240360480600SE +/- 0.48, N = 3SE +/- 1.19, N = 3SE +/- 0.89, N = 3SE +/- 1.30, N = 3SE +/- 0.43, N = 3SE +/- 1.44, N = 3SE +/- 0.33, N = 3SE +/- 5.26, N = 3SE +/- 7.23, N = 3202.31203.53205.44213.64226.79231.15345.46416.94569.821. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600KRyzen 5 2600100200300400500Min: 201.4 / Avg: 202.31 / Max: 203.04Min: 202.3 / Avg: 203.53 / Max: 205.9Min: 203.71 / Avg: 205.44 / Max: 206.67Min: 211.16 / Avg: 213.64 / Max: 215.57Min: 226.04 / Avg: 226.79 / Max: 227.51Min: 228.67 / Avg: 231.15 / Max: 233.65Min: 344.82 / Avg: 345.46 / Max: 345.89Min: 411.09 / Avg: 416.94 / Max: 427.45Min: 560.31 / Avg: 569.82 / Max: 584.011. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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-OnlyAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K140280420560700SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 0.32, N = 3SE +/- 0.04, N = 3SE +/- 0.25, N = 3SE +/- 0.33, N = 3SE +/- 0.36, N = 3SE +/- 1.79, N = 3225.73225.94225.99277.53277.84278.23429.67630.74
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K110220330440550Min: 225.34 / Avg: 225.73 / Max: 226.07Min: 225.54 / Avg: 225.94 / Max: 226.25Min: 225.56 / Avg: 225.99 / Max: 226.62Min: 277.48 / Avg: 277.53 / Max: 277.6Min: 277.38 / Avg: 277.84 / Max: 278.23Min: 277.86 / Avg: 278.23 / Max: 278.88Min: 429.16 / Avg: 429.67 / Max: 430.36Min: 628.9 / Avg: 630.74 / Max: 634.32

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K90180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 34174154143293283252141511. (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: EnhancedRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K70140210280350Min: 417 / Avg: 417.33 / Max: 418Min: 415 / Avg: 415.33 / Max: 416Min: 328 / Avg: 328.33 / Max: 3291. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: SupercarAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K246810SE +/- 0.015, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.017, N = 3SE +/- 0.013, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 36.7626.7436.7155.4725.4695.4443.2132.475
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: SupercarAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 6.73 / Avg: 6.76 / Max: 6.78Min: 6.74 / Avg: 6.74 / Max: 6.75Min: 6.71 / Avg: 6.71 / Max: 6.72Min: 5.47 / Avg: 5.47 / Max: 5.48Min: 5.44 / Avg: 5.47 / Max: 5.49Min: 5.43 / Avg: 5.44 / Max: 5.47Min: 3.21 / Avg: 3.21 / Max: 3.21Min: 2.47 / Avg: 2.47 / Max: 2.48

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 PrismAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K0.85951.7192.57853.4384.2975SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.823.823.823.153.153.121.941.40MIN: 3.74 / MAX: 3.88MIN: 3.75 / MAX: 3.88MIN: 3.75 / MAX: 3.89MIN: 3.08 / MAX: 3.2MIN: 3.07 / MAX: 3.22MIN: 3.05 / MAX: 3.17MIN: 1.88 / MAX: 1.99MIN: 1.38 / MAX: 1.42
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 3.79 / Avg: 3.82 / Max: 3.83Min: 3.81 / Avg: 3.82 / Max: 3.83Min: 3.82 / Avg: 3.82 / Max: 3.83Min: 3.14 / Avg: 3.15 / Max: 3.16Min: 3.13 / Avg: 3.15 / Max: 3.17Min: 3.11 / Avg: 3.12 / Max: 3.12Min: 1.92 / Avg: 1.94 / Max: 1.95Min: 1.39 / Avg: 1.4 / Max: 1.4

Tungsten Renderer

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K816243240SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 313.0313.0913.1215.6115.6315.7324.3735.52-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K816243240Min: 13.02 / Avg: 13.03 / Max: 13.04Min: 13.06 / Avg: 13.09 / Max: 13.12Min: 13.07 / Avg: 13.12 / Max: 13.16Min: 15.56 / Avg: 15.61 / Max: 15.65Min: 15.58 / Avg: 15.63 / Max: 15.7Min: 15.63 / Avg: 15.73 / Max: 15.82Min: 24.36 / Avg: 24.37 / Max: 24.37Min: 35.42 / Avg: 35.52 / Max: 35.571. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.7910.7310.539.018.448.445.933.961. (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: SlowRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 10.78 / Avg: 10.79 / Max: 10.8Min: 10.67 / Avg: 10.73 / Max: 10.79Min: 10.52 / Avg: 10.53 / Max: 10.54Min: 8.99 / Avg: 9.01 / Max: 9.04Min: 8.44 / Avg: 8.44 / Max: 8.45Min: 8.41 / Avg: 8.44 / Max: 8.48Min: 5.93 / Avg: 5.93 / Max: 5.94Min: 3.96 / Avg: 3.96 / Max: 3.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: EmilyAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K110220330440550189.51190.56190.73222.67224.60224.84350.83511.78

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310.9910.9510.739.198.628.606.064.071. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 10.96 / Avg: 10.99 / Max: 11.01Min: 10.92 / Avg: 10.95 / Max: 10.99Min: 10.72 / Avg: 10.73 / Max: 10.74Min: 9.18 / Avg: 9.19 / Max: 9.21Min: 8.59 / Avg: 8.62 / Max: 8.63Min: 8.58 / Avg: 8.6 / Max: 8.61Min: 6.05 / Avg: 6.06 / Max: 6.06Min: 4.06 / Avg: 4.07 / Max: 4.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.4.11080p 8-bit YUV To HEVC Video EncodeRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K20406080100SE +/- 0.53, N = 3SE +/- 0.36, N = 3SE +/- 0.39, N = 3SE +/- 0.13, N = 3SE +/- 0.34, N = 3SE +/- 0.33, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3107.36107.06106.6888.8788.7688.6055.9640.461. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.4.11080p 8-bit YUV To HEVC Video EncodeRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K20406080100Min: 106.31 / Avg: 107.36 / Max: 107.89Min: 106.48 / Avg: 107.06 / Max: 107.72Min: 106.01 / Avg: 106.68 / Max: 107.35Min: 88.61 / Avg: 88.87 / Max: 89.01Min: 88.12 / Avg: 88.76 / Max: 89.27Min: 87.95 / Avg: 88.6 / Max: 88.93Min: 55.78 / Avg: 55.96 / Max: 56.07Min: 40.24 / Avg: 40.46 / Max: 40.581. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K70140210280350116.76116.79117.54140.58141.79142.28218.21308.75

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1020304050SE +/- 0.00, N = 12SE +/- 0.56, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.11, N = 10SE +/- 0.00, N = 1241.6740.5640.0033.3333.3333.2320.0015.87MIN: 38.46MIN: 38.46 / MAX: 41.67MIN: 35.71 / MAX: 41.67MIN: 32.26 / MAX: 34.48MIN: 30.3MIN: 32.26 / MAX: 34.48MIN: 19.61 / MAX: 20.41MIN: 15.15 / MAX: 16.13
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K918273645Min: 41.67 / Avg: 41.67 / Max: 41.67Min: 40 / Avg: 40.56 / Max: 41.67Min: 33.33 / Avg: 33.33 / Max: 33.33Min: 33.33 / Avg: 33.33 / Max: 33.33Min: 32.26 / Avg: 33.23 / Max: 33.33Min: 15.87 / Avg: 15.87 / Max: 15.87

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 ProteinAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.096, N = 3SE +/- 0.101, N = 3SE +/- 0.246, N = 15SE +/- 0.013, N = 3SE +/- 0.133, N = 3SE +/- 0.081, N = 15SE +/- 0.068, N = 15SE +/- 0.120, N = 1513.36812.68112.38810.99010.91810.8536.5805.1071. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K48121620Min: 13.18 / Avg: 13.37 / Max: 13.47Min: 12.53 / Avg: 12.68 / Max: 12.87Min: 10.49 / Avg: 12.39 / Max: 13.55Min: 10.98 / Avg: 10.99 / Max: 11.02Min: 10.65 / Avg: 10.92 / Max: 11.08Min: 10.1 / Avg: 10.85 / Max: 11.23Min: 6.24 / Avg: 6.58 / Max: 7.05Min: 3.81 / Avg: 5.11 / Max: 5.331. (CXX) g++ options: -O3 -pthread -lm

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K1326395265SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 322.6622.8723.0227.0827.2227.2342.8059.291. (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 TimeRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K1224364860Min: 22.64 / Avg: 22.66 / Max: 22.7Min: 22.74 / Avg: 22.87 / Max: 23.02Min: 22.74 / Avg: 23.02 / Max: 23.23Min: 27.02 / Avg: 27.08 / Max: 27.13Min: 26.88 / Avg: 27.22 / Max: 27.54Min: 27.11 / Avg: 27.23 / Max: 27.42Min: 42.72 / Avg: 42.8 / Max: 42.95Min: 59.15 / Avg: 59.29 / Max: 59.421. (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

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 2AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K918273645SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 315.8415.9415.9818.6518.7018.7129.5041.431. (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 2AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K918273645Min: 15.8 / Avg: 15.84 / Max: 15.87Min: 15.88 / Avg: 15.94 / Max: 15.99Min: 15.93 / Avg: 15.98 / Max: 16.02Min: 18.61 / Avg: 18.64 / Max: 18.71Min: 18.65 / Avg: 18.7 / Max: 18.73Min: 18.61 / Avg: 18.71 / Max: 18.77Min: 29.45 / Avg: 29.5 / Max: 29.55Min: 41.43 / Avg: 41.43 / Max: 41.441. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K306090120150SE +/- 0.11, N = 3SE +/- 0.41, N = 3SE +/- 0.28, N = 3SE +/- 0.17, N = 3SE +/- 0.33, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3113.01112.75111.48103.04102.66102.6363.2343.60
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100Min: 112.85 / Avg: 113.01 / Max: 113.23Min: 112.2 / Avg: 112.75 / Max: 113.56Min: 111.03 / Avg: 111.48 / Max: 111.98Min: 102.73 / Avg: 103.04 / Max: 103.31Min: 102.23 / Avg: 102.66 / Max: 103.31Min: 102.21 / Avg: 102.63 / Max: 102.86Min: 63.19 / Avg: 63.23 / Max: 63.26Min: 43.55 / Avg: 43.6 / Max: 43.65

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K4080120160200SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.41, N = 3SE +/- 0.26, N = 3SE +/- 0.41, N = 378.3278.4278.4995.0095.1095.61149.78202.64
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K4080120160200Min: 78.18 / Avg: 78.32 / Max: 78.51Min: 78.3 / Avg: 78.42 / Max: 78.5Min: 78.41 / Avg: 78.49 / Max: 78.64Min: 94.73 / Avg: 95 / Max: 95.25Min: 94.84 / Avg: 95.1 / Max: 95.35Min: 95 / Avg: 95.61 / Max: 96.4Min: 149.35 / Avg: 149.78 / Max: 150.26Min: 201.87 / Avg: 202.64 / Max: 203.29

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 TesterAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K60120180240300111.24111.29111.72132.62133.40134.00199.21284.85

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K1.24652.4933.73954.9866.2325SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 6SE +/- 0.00, N = 35.545.505.504.544.534.492.592.18MIN: 5.46 / MAX: 5.62MIN: 5.43 / MAX: 5.62MIN: 5.43 / MAX: 5.62MIN: 4.48 / MAX: 4.61MIN: 4.42 / MAX: 4.61MIN: 4.31 / MAX: 4.52MIN: 2.55 / MAX: 2.62MIN: 2.12 / MAX: 2.2
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 5.52 / Avg: 5.54 / Max: 5.56Min: 5.49 / Avg: 5.5 / Max: 5.52Min: 5.49 / Avg: 5.5 / Max: 5.52Min: 4.52 / Avg: 4.54 / Max: 4.57Min: 4.5 / Avg: 4.53 / Max: 4.57Min: 4.48 / Avg: 4.49 / Max: 4.5Min: 2.58 / Avg: 2.59 / Max: 2.59Min: 2.17 / Avg: 2.18 / Max: 2.18

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: 20k AtomsRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.097, N = 3SE +/- 0.084, N = 3SE +/- 0.151, N = 3SE +/- 0.026, N = 3SE +/- 0.026, N = 3SE +/- 0.060, N = 3SE +/- 0.028, N = 3SE +/- 0.012, N = 313.15013.06612.93911.08011.02310.9566.8115.2041. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K48121620Min: 12.96 / Avg: 13.15 / Max: 13.26Min: 12.9 / Avg: 13.07 / Max: 13.17Min: 12.64 / Avg: 12.94 / Max: 13.15Min: 11.03 / Avg: 11.08 / Max: 11.12Min: 10.97 / Avg: 11.02 / Max: 11.06Min: 10.88 / Avg: 10.96 / Max: 11.08Min: 6.76 / Avg: 6.81 / Max: 6.85Min: 5.18 / Avg: 5.2 / Max: 5.221. (CXX) g++ options: -O3 -pthread -lm

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 5SE +/- 0.00, N = 38.318.298.296.796.776.703.973.29MIN: 8.2 / MAX: 8.47MIN: 8.13 / MAX: 8.47MIN: 8.13 / MAX: 8.47MIN: 6.71 / MAX: 6.9MIN: 6.67 / MAX: 6.85MIN: 6.45 / MAX: 6.8MIN: 3.91 / MAX: 4.05MIN: 3.26 / MAX: 3.36
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 8.26 / Avg: 8.31 / Max: 8.33Min: 8.26 / Avg: 8.29 / Max: 8.33Min: 8.26 / Avg: 8.29 / Max: 8.33Min: 6.76 / Avg: 6.79 / Max: 6.8Min: 6.76 / Avg: 6.77 / Max: 6.8Min: 6.67 / Avg: 6.7 / Max: 6.71Min: 3.97 / Avg: 3.97 / Max: 3.98Min: 3.29 / Avg: 3.29 / Max: 3.3

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 CompileAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1122334455SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 318.9519.0119.2422.0222.0422.0833.9547.86
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1020304050Min: 18.92 / Avg: 18.95 / Max: 18.97Min: 18.96 / Avg: 19.01 / Max: 19.07Min: 19.19 / Avg: 19.24 / Max: 19.3Min: 21.95 / Avg: 22.02 / Max: 22.09Min: 22 / Avg: 22.04 / Max: 22.1Min: 22.07 / Avg: 22.08 / Max: 22.11Min: 33.87 / Avg: 33.95 / Max: 34.02Min: 47.81 / Avg: 47.86 / Max: 47.89

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: vklBenchmarkAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K60120180240300SE +/- 0.59, N = 3SE +/- 1.65, N = 3SE +/- 0.61, N = 3SE +/- 0.39, N = 3SE +/- 0.28, N = 3SE +/- 0.73, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3287.81287.42287.14236.94235.31234.14129.33114.06MIN: 1 / MAX: 1119MIN: 1 / MAX: 1127MIN: 1 / MAX: 1121MIN: 1 / MAX: 917MIN: 1 / MAX: 910MIN: 1 / MAX: 904MIN: 1 / MAX: 462MIN: 1 / MAX: 458
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K50100150200250Min: 286.67 / Avg: 287.81 / Max: 288.67Min: 285.33 / Avg: 287.42 / Max: 290.67Min: 286.17 / Avg: 287.14 / Max: 288.25Min: 236.17 / Avg: 236.94 / Max: 237.42Min: 234.75 / Avg: 235.31 / Max: 235.67Min: 233 / Avg: 234.14 / Max: 235.5Min: 129.25 / Avg: 129.33 / Max: 129.42Min: 113.92 / Avg: 114.06 / Max: 114.17

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K0.66831.33662.00492.67323.3415SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.972.962.962.432.432.411.361.19MIN: 2.94 / MAX: 3.02MIN: 2.93 / MAX: 3.01MIN: 2.93 / MAX: 2.99MIN: 2.41 / MAX: 2.44MIN: 2.41 / MAX: 2.46MIN: 2.28 / MAX: 2.43MIN: 1.33 / MAX: 1.37MIN: 1.18 / MAX: 1.2
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 2.96 / Avg: 2.97 / Max: 2.98Min: 2.95 / Avg: 2.96 / Max: 2.98Min: 2.95 / Avg: 2.96 / Max: 2.96Min: 2.42 / Avg: 2.43 / Max: 2.43Min: 2.43 / Avg: 2.43 / Max: 2.44Min: 2.4 / Avg: 2.41 / Max: 2.41Min: 1.35 / Avg: 1.36 / Max: 1.36Min: 1.19 / Avg: 1.19 / Max: 1.19

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: CPUAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K3K6K9K12K15KSE +/- 11.77, N = 3SE +/- 26.50, N = 3SE +/- 20.72, N = 3SE +/- 14.85, N = 3SE +/- 16.19, N = 3SE +/- 20.61, N = 3SE +/- 30.19, N = 3SE +/- 14.74, N = 313552.2113499.9613486.2610991.2210980.2710941.627175.495430.851. (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 FP32 - Device: CPUAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K2K4K6K8K10KMin: 13534.31 / Avg: 13552.21 / Max: 13574.41Min: 13450.3 / Avg: 13499.96 / Max: 13540.81Min: 13453.91 / Avg: 13486.26 / Max: 13524.87Min: 10964.78 / Avg: 10991.22 / Max: 11016.16Min: 10954.62 / Avg: 10980.27 / Max: 11010.2Min: 10903.1 / Avg: 10941.62 / Max: 10973.6Min: 7130.65 / Avg: 7175.49 / Max: 7232.94Min: 5405.37 / Avg: 5430.85 / Max: 5456.431. (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: Asian DragonRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 325.4325.1525.1120.5920.5620.0912.4710.26MIN: 25.12 / MAX: 25.92MIN: 24.88 / MAX: 25.71MIN: 24.31 / MAX: 25.7MIN: 20.39 / MAX: 21.03MIN: 20.45 / MAX: 20.88MIN: 19.9 / MAX: 20.61MIN: 12.36 / MAX: 12.72MIN: 10.14 / MAX: 10.5
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430Min: 25.22 / Avg: 25.43 / Max: 25.54Min: 25.08 / Avg: 25.15 / Max: 25.26Min: 24.77 / Avg: 25.11 / Max: 25.39Min: 20.47 / Avg: 20.59 / Max: 20.78Min: 20.54 / Avg: 20.56 / Max: 20.59Min: 20.04 / Avg: 20.09 / Max: 20.12Min: 12.42 / Avg: 12.47 / Max: 12.57Min: 10.18 / Avg: 10.26 / Max: 10.33

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 MappingAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K2004006008001000SE +/- 8.01, N = 3SE +/- 1.52, N = 3SE +/- 1.77, N = 3SE +/- 1.41, N = 3SE +/- 1.27, N = 3SE +/- 1.37, N = 3SE +/- 1.62, N = 3SE +/- 1.04, N = 31032.901024.771024.67877.38875.64849.48547.78416.881. (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 MappingAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K2004006008001000Min: 1019.16 / Avg: 1032.9 / Max: 1046.9Min: 1022.08 / Avg: 1024.77 / Max: 1027.33Min: 1021.45 / Avg: 1024.67 / Max: 1027.54Min: 875.96 / Avg: 877.38 / Max: 880.2Min: 873.59 / Avg: 875.63 / Max: 877.96Min: 846.74 / Avg: 849.48 / Max: 851.06Min: 545.46 / Avg: 547.78 / Max: 550.9Min: 415.08 / Avg: 416.87 / Max: 418.671. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

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 CausticAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.02702, N = 3SE +/- 0.02405, N = 3SE +/- 0.02986, N = 3SE +/- 0.00924, N = 3SE +/- 0.01293, N = 3SE +/- 0.01043, N = 3SE +/- 0.01251, N = 3SE +/- 0.00384, N = 34.923794.940885.007575.963245.965445.969609.8865712.19100-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K48121620Min: 4.87 / Avg: 4.92 / Max: 4.96Min: 4.89 / Avg: 4.94 / Max: 4.97Min: 4.96 / Avg: 5.01 / Max: 5.06Min: 5.95 / Avg: 5.96 / Max: 5.98Min: 5.94 / Avg: 5.97 / Max: 5.99Min: 5.96 / Avg: 5.97 / Max: 5.99Min: 9.86 / Avg: 9.89 / Max: 9.91Min: 12.19 / Avg: 12.19 / Max: 12.21. (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

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K400800120016002000SE +/- 2.19, N = 3SE +/- 3.18, N = 3SE +/- 1.00, N = 3SE +/- 2.31, N = 3SE +/- 2.91, N = 3SE +/- 0.67, N = 318631846182215901573153410717551. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K30060090012001500Min: 1860 / Avg: 1862.67 / Max: 1867Min: 1840 / Avg: 1846.33 / Max: 1850Min: 1588 / Avg: 1590 / Max: 1591Min: 1569 / Avg: 1573 / Max: 1577Min: 1529 / Avg: 1534.33 / Max: 1539Min: 1070 / Avg: 1070.67 / Max: 10721. (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 FP16 - Device: CPUAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K3K6K9K12K15KSE +/- 15.49, N = 3SE +/- 11.82, N = 3SE +/- 27.58, N = 3SE +/- 11.30, N = 3SE +/- 18.38, N = 3SE +/- 7.54, N = 3SE +/- 31.20, N = 3SE +/- 13.99, N = 313562.0313559.3313519.2711012.4410914.9110870.517092.355507.171. (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: CPUAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K2K4K6K8K10KMin: 13537.81 / Avg: 13562.03 / Max: 13590.87Min: 13546.08 / Avg: 13559.33 / Max: 13582.91Min: 13464.26 / Avg: 13519.27 / Max: 13550.33Min: 10996.74 / Avg: 11012.44 / Max: 11034.38Min: 10888.69 / Avg: 10914.91 / Max: 10950.34Min: 10860.34 / Avg: 10870.51 / Max: 10885.25Min: 7055.56 / Avg: 7092.35 / Max: 7154.39Min: 5491.29 / Avg: 5507.17 / Max: 5535.071. (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 ISPC - Model: CrownAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430SE +/- 0.0487, N = 3SE +/- 0.0918, N = 3SE +/- 0.0141, N = 3SE +/- 0.1168, N = 3SE +/- 0.0175, N = 3SE +/- 0.1281, N = 3SE +/- 0.0738, N = 3SE +/- 0.0723, N = 324.073023.994323.901319.651019.468219.236411.04299.9147MIN: 23.79 / MAX: 24.7MIN: 23.61 / MAX: 24.64MIN: 23.65 / MAX: 24.67MIN: 19.25 / MAX: 20.17MIN: 19.28 / MAX: 19.89MIN: 18.52 / MAX: 19.81MIN: 10.82 / MAX: 11.31MIN: 9.68 / MAX: 10.17
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430Min: 24.01 / Avg: 24.07 / Max: 24.17Min: 23.82 / Avg: 23.99 / Max: 24.14Min: 23.87 / Avg: 23.9 / Max: 23.92Min: 19.43 / Avg: 19.65 / Max: 19.82Min: 19.43 / Avg: 19.47 / Max: 19.49Min: 18.99 / Avg: 19.24 / Max: 19.41Min: 10.9 / Avg: 11.04 / Max: 11.13Min: 9.77 / Avg: 9.91 / Max: 10.01

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K510152025SE +/- 0.0296, N = 3SE +/- 0.0164, N = 3SE +/- 0.0703, N = 3SE +/- 0.0016, N = 3SE +/- 0.0193, N = 3SE +/- 0.1298, N = 3SE +/- 0.0063, N = 3SE +/- 0.0274, N = 322.716822.710822.647818.520918.396117.993511.42469.4719MIN: 22.59 / MAX: 23.16MIN: 22.59 / MAX: 23.1MIN: 22.42 / MAX: 23.13MIN: 18.41 / MAX: 18.86MIN: 18.28 / MAX: 18.78MIN: 17.37 / MAX: 18.62MIN: 11.35 / MAX: 11.61MIN: 9.41 / MAX: 9.61
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K510152025Min: 22.69 / Avg: 22.72 / Max: 22.78Min: 22.69 / Avg: 22.71 / Max: 22.74Min: 22.58 / Avg: 22.65 / Max: 22.79Min: 18.52 / Avg: 18.52 / Max: 18.52Min: 18.36 / Avg: 18.4 / Max: 18.43Min: 17.74 / Avg: 17.99 / Max: 18.15Min: 11.42 / Avg: 11.42 / Max: 11.44Min: 9.44 / Avg: 9.47 / Max: 9.53

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-ExponentialAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K246810SE +/- 0.00216, N = 3SE +/- 0.01261, N = 3SE +/- 0.00396, N = 3SE +/- 0.00399, N = 3SE +/- 0.02016, N = 3SE +/- 0.01178, N = 3SE +/- 0.00855, N = 3SE +/- 0.02863, N = 33.754743.776313.785784.672364.674314.697027.562108.93898-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 3.75 / Avg: 3.75 / Max: 3.76Min: 3.75 / Avg: 3.78 / Max: 3.8Min: 3.78 / Avg: 3.79 / Max: 3.79Min: 4.67 / Avg: 4.67 / Max: 4.68Min: 4.65 / Avg: 4.67 / Max: 4.71Min: 4.68 / Avg: 4.7 / Max: 4.72Min: 7.55 / Avg: 7.56 / Max: 7.57Min: 8.91 / Avg: 8.94 / Max: 91. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1632486480SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 329.8529.8730.0033.9734.0334.0951.4470.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1428425670Min: 29.68 / Avg: 29.85 / Max: 29.98Min: 29.74 / Avg: 29.87 / Max: 30.11Min: 29.97 / Avg: 30 / Max: 30.05Min: 33.76 / Avg: 33.97 / Max: 34.09Min: 33.88 / Avg: 34.03 / Max: 34.24Min: 34.01 / Avg: 34.09 / Max: 34.19Min: 51.39 / Avg: 51.44 / Max: 51.53Min: 70.25 / Avg: 70.5 / Max: 70.68

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100SE +/- 0.74, N = 3SE +/- 0.71, N = 3SE +/- 0.25, N = 3SE +/- 0.34, N = 3SE +/- 0.39, N = 3SE +/- 0.22, N = 3SE +/- 0.47, N = 3SE +/- 0.72, N = 345.2145.5745.7051.6151.7151.9576.95106.60
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100Min: 44 / Avg: 45.21 / Max: 46.55Min: 44.43 / Avg: 45.57 / Max: 46.89Min: 45.45 / Avg: 45.7 / Max: 46.19Min: 51.25 / Avg: 51.61 / Max: 52.3Min: 51.04 / Avg: 51.71 / Max: 52.39Min: 51.69 / Avg: 51.95 / Max: 52.38Min: 76.46 / Avg: 76.95 / Max: 77.89Min: 105.8 / Avg: 106.6 / Max: 108.04

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K1.19862.39723.59584.79445.993SE +/- 0.00824, N = 3SE +/- 0.00671, N = 3SE +/- 0.00170, N = 3SE +/- 0.01511, N = 3SE +/- 0.00562, N = 3SE +/- 0.01266, N = 3SE +/- 0.00875, N = 3SE +/- 0.03724, N = 32.265682.266672.270832.731122.749052.893324.165265.32696MIN: 2.19MIN: 2.21MIN: 2.19MIN: 2.63MIN: 2.65MIN: 2.69MIN: 4.06MIN: 5.171. (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: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 2.25 / Avg: 2.27 / Max: 2.28Min: 2.25 / Avg: 2.27 / Max: 2.28Min: 2.27 / Avg: 2.27 / Max: 2.27Min: 2.7 / Avg: 2.73 / Max: 2.75Min: 2.74 / Avg: 2.75 / Max: 2.76Min: 2.88 / Avg: 2.89 / Max: 2.92Min: 4.15 / Avg: 4.17 / Max: 4.18Min: 5.29 / Avg: 5.33 / Max: 5.41. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K0.61761.23521.85282.47043.088SE +/- 0.00156, N = 3SE +/- 0.00446, N = 3SE +/- 0.00548, N = 3SE +/- 0.01070, N = 3SE +/- 0.02408, N = 3SE +/- 0.00362, N = 3SE +/- 0.00376, N = 3SE +/- 0.00507, N = 31.169061.171201.178851.406351.419411.465382.336342.74485MIN: 1.13MIN: 1.12MIN: 1.13MIN: 1.36MIN: 1.35MIN: 1.35MIN: 2.24MIN: 2.681. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 1.17 / Avg: 1.17 / Max: 1.17Min: 1.16 / Avg: 1.17 / Max: 1.18Min: 1.17 / Avg: 1.18 / Max: 1.19Min: 1.39 / Avg: 1.41 / Max: 1.43Min: 1.39 / Avg: 1.42 / Max: 1.47Min: 1.46 / Avg: 1.47 / Max: 1.47Min: 2.33 / Avg: 2.34 / Max: 2.34Min: 2.74 / Avg: 2.74 / Max: 2.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: SharpenRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K50100150200250SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3230229229182182180132981. (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: SharpenRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K4080120160200Min: 229 / Avg: 230.33 / Max: 232Min: 228 / Avg: 228.67 / Max: 230Min: 228 / Avg: 228.67 / Max: 230Min: 180 / Avg: 180.33 / Max: 181Min: 132 / Avg: 132.33 / Max: 1331. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K4080120160200SE +/- 0.29, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.44, N = 3SE +/- 0.86, N = 3SE +/- 0.96, N = 3SE +/- 1.77, N = 3SE +/- 0.71, N = 367.6767.8268.0271.3071.3772.49114.97158.42
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K306090120150Min: 67.35 / Avg: 67.67 / Max: 68.24Min: 67.16 / Avg: 67.82 / Max: 68.19Min: 67.72 / Avg: 68.02 / Max: 68.23Min: 70.44 / Avg: 71.3 / Max: 71.92Min: 70.1 / Avg: 71.37 / Max: 73.02Min: 70.58 / Avg: 72.49 / Max: 73.45Min: 112.32 / Avg: 114.97 / Max: 118.34Min: 157.05 / Avg: 158.42 / Max: 159.45

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1122334455SE +/- 0.02, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 349.0749.0148.6844.7241.6741.6530.0520.981. (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 FastRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1020304050Min: 49.04 / Avg: 49.07 / Max: 49.12Min: 48.76 / Avg: 49.01 / Max: 49.41Min: 48.56 / Avg: 48.68 / Max: 48.77Min: 44.58 / Avg: 44.72 / Max: 44.82Min: 41.53 / Avg: 41.67 / Max: 41.83Min: 41.49 / Avg: 41.65 / Max: 41.84Min: 29.89 / Avg: 30.05 / Max: 30.18Min: 20.96 / Avg: 20.98 / Max: 21.021. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT510152025SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.05, N = 6SE +/- 0.10, N = 3SE +/- 0.00, N = 12SE +/- 0.02, N = 7SE +/- 0.00, N = 1221.7421.7421.7417.8017.6517.5412.689.35MIN: 21.28 / MAX: 22.22MIN: 21.28 / MAX: 22.22MIN: 21.28 / MAX: 22.22MIN: 17.24 / MAX: 17.86MIN: 17.24 / MAX: 17.86MIN: 16.39 / MAX: 17.86MIN: 12.5 / MAX: 12.99MIN: 9.09 / MAX: 9.52
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT510152025Min: 21.74 / Avg: 21.74 / Max: 21.74Min: 21.74 / Avg: 21.74 / Max: 21.74Min: 21.74 / Avg: 21.74 / Max: 21.74Min: 17.54 / Avg: 17.8 / Max: 17.86Min: 17.54 / Avg: 17.65 / Max: 17.86Min: 17.54 / Avg: 17.54 / Max: 17.54Min: 12.66 / Avg: 12.68 / Max: 12.82Min: 9.35 / Avg: 9.35 / Max: 9.35

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K612182430SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 326.6126.5726.3925.3223.7223.6716.7911.501. (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 FastRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K612182430Min: 26.56 / Avg: 26.61 / Max: 26.71Min: 26.51 / Avg: 26.57 / Max: 26.6Min: 26.35 / Avg: 26.39 / Max: 26.47Min: 25.3 / Avg: 25.32 / Max: 25.36Min: 23.68 / Avg: 23.72 / Max: 23.77Min: 23.59 / Avg: 23.67 / Max: 23.76Min: 16.7 / Avg: 16.79 / Max: 16.86Min: 11.47 / Avg: 11.5 / Max: 11.521. (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: Noise-GaussianRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K90180270360450SE +/- 0.88, N = 3SE +/- 1.76, N = 3SE +/- 0.58, N = 3SE +/- 1.20, N = 3SE +/- 1.20, N = 3SE +/- 1.33, N = 34374344333773763712751891. (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-GaussianRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K80160240320400Min: 436 / Avg: 437.33 / Max: 439Min: 431 / Avg: 434.33 / Max: 437Min: 432 / Avg: 433 / Max: 434Min: 375 / Avg: 376.67 / Max: 379Min: 374 / Avg: 376.33 / Max: 378Min: 370 / Avg: 371.33 / Max: 3741. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Ryzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTAMD 5950XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600K48121620SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 36.756.896.907.057.057.147.2115.60MIN: 6.65 / MAX: 10.7MIN: 6.6 / MAX: 15.48MIN: 6.4 / MAX: 30.69MIN: 6.61 / MAX: 24.04MIN: 6.59 / MAX: 24.04MIN: 6.62 / MAX: 24.02MIN: 6.6 / MAX: 24.06MIN: 15.26 / MAX: 15.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Ryzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTAMD 5950XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600K48121620Min: 6.72 / Avg: 6.75 / Max: 6.78Min: 6.82 / Avg: 6.89 / Max: 6.95Min: 6.77 / Avg: 6.9 / Max: 7.16Min: 6.94 / Avg: 7.05 / Max: 7.12Min: 6.93 / Avg: 7.05 / Max: 7.29Min: 7.06 / Avg: 7.14 / Max: 7.23Min: 6.99 / Avg: 7.21 / Max: 7.41Min: 15.58 / Avg: 15.6 / Max: 15.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

x264

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K4080120160200SE +/- 2.06, N = 6SE +/- 2.66, N = 3SE +/- 2.74, N = 3SE +/- 2.52, N = 3SE +/- 1.44, N = 10SE +/- 2.37, N = 3SE +/- 1.30, N = 5SE +/- 1.09, N = 4171.78169.32168.86167.95158.60154.7397.1074.341. (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 EncodingRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K306090120150Min: 161.84 / Avg: 171.78 / Max: 176.11Min: 164.62 / Avg: 169.32 / Max: 173.81Min: 163.44 / Avg: 168.86 / Max: 172.3Min: 164.79 / Avg: 167.95 / Max: 172.94Min: 149.31 / Avg: 158.6 / Max: 163.87Min: 151.12 / Avg: 154.73 / Max: 159.2Min: 93.48 / Avg: 97.1 / Max: 99.59Min: 71.13 / Avg: 74.34 / Max: 76.021. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

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: SlowAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K918273645SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 338.4938.4337.7035.9330.6530.5525.5516.671. (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: SlowAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K816243240Min: 38.37 / Avg: 38.49 / Max: 38.56Min: 38.39 / Avg: 38.43 / Max: 38.49Min: 37.57 / Avg: 37.7 / Max: 37.85Min: 35.67 / Avg: 35.93 / Max: 36.07Min: 30.55 / Avg: 30.65 / Max: 30.75Min: 30.46 / Avg: 30.55 / Max: 30.62Min: 25.52 / Avg: 25.55 / Max: 25.62Min: 16.66 / Avg: 16.67 / Max: 16.681. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT0.55581.11161.66742.22322.779SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.472.472.462.002.001.971.151.07MIN: 2.45 / MAX: 2.49MIN: 2.45 / MAX: 2.5MIN: 2.44 / MAX: 2.49MIN: 1.98 / MAX: 2.02MIN: 1.95 / MAX: 2.02MIN: 1.89 / MAX: 2MIN: 1.14 / MAX: 1.16MAX: 1.08
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT246810Min: 2.46 / Avg: 2.47 / Max: 2.48Min: 2.47 / Avg: 2.47 / Max: 2.48Min: 2.46 / Avg: 2.46 / Max: 2.46Min: 2 / Avg: 2 / Max: 2Min: 2 / Avg: 2 / Max: 2Min: 1.97 / Avg: 1.97 / Max: 1.98Min: 1.15 / Avg: 1.15 / Max: 1.15Min: 1.07 / Avg: 1.07 / Max: 1.08

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K714212835SE +/- 0.07, N = 13SE +/- 0.18, N = 5SE +/- 0.30, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.12, N = 5SE +/- 0.00, N = 15SE +/- 0.00, N = 1230.2330.1230.0124.3924.3923.9313.8913.16MIN: 29.41 / MAX: 32.26MIN: 29.41 / MAX: 32.26MIN: 28.57 / MAX: 32.26MIN: 23.81 / MAX: 25.64MIN: 23.26 / MAX: 25.64MIN: 22.73 / MAX: 25.64MIN: 13.33 / MAX: 14.71MIN: 12.66
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K714212835Min: 29.41 / Avg: 30.23 / Max: 30.3Min: 29.41 / Avg: 30.12 / Max: 30.3Min: 29.41 / Avg: 30.01 / Max: 30.3Min: 24.39 / Avg: 24.39 / Max: 24.39Min: 24.39 / Avg: 24.39 / Max: 24.39Min: 23.81 / Avg: 23.93 / Max: 24.39Min: 13.89 / Avg: 13.89 / Max: 13.89Min: 13.16 / Avg: 13.16 / Max: 13.16

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K918273645SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 339.4239.3738.7637.0731.5331.4726.1117.191. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K816243240Min: 39.34 / Avg: 39.42 / Max: 39.54Min: 39.25 / Avg: 39.37 / Max: 39.57Min: 38.58 / Avg: 38.76 / Max: 38.98Min: 37.03 / Avg: 37.07 / Max: 37.12Min: 31.51 / Avg: 31.53 / Max: 31.56Min: 31.45 / Avg: 31.47 / Max: 31.51Min: 26.09 / Avg: 26.11 / Max: 26.12Min: 17.17 / Avg: 17.19 / Max: 17.21. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1122334455SE +/- 0.26, N = 3SE +/- 0.13, N = 3SE +/- 0.31, N = 3SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 348.9548.7048.6444.8243.2143.1628.0521.371. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1020304050Min: 48.55 / Avg: 48.95 / Max: 49.43Min: 48.44 / Avg: 48.69 / Max: 48.86Min: 48.19 / Avg: 48.64 / Max: 49.25Min: 44.48 / Avg: 44.82 / Max: 45.11Min: 42.95 / Avg: 43.21 / Max: 43.41Min: 42.74 / Avg: 43.16 / Max: 43.68Min: 27.95 / Avg: 28.05 / Max: 28.15Min: 21.32 / Avg: 21.37 / Max: 21.461. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 CompileAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K2004006008001000SE +/- 2.39, N = 3SE +/- 1.59, N = 3SE +/- 1.07, N = 3SE +/- 0.90, N = 3SE +/- 1.34, N = 3SE +/- 4.40, N = 3SE +/- 1.16, N = 3SE +/- 0.74, N = 3353.55355.89358.00391.13393.21408.17589.42806.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K140280420560700Min: 350.51 / Avg: 353.55 / Max: 358.27Min: 352.89 / Avg: 355.89 / Max: 358.33Min: 356.6 / Avg: 358 / Max: 360.1Min: 389.6 / Avg: 391.13 / Max: 392.73Min: 391 / Avg: 393.21 / Max: 395.63Min: 399.43 / Avg: 408.17 / Max: 413.39Min: 587.85 / Avg: 589.42 / Max: 591.69Min: 805.14 / Avg: 806.4 / Max: 807.71

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: u8s8f32 - Engine: CPUAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K1.34362.68724.03085.37446.718SE +/- 0.00433, N = 3SE +/- 0.00835, N = 3SE +/- 0.00030, N = 3SE +/- 0.00418, N = 3SE +/- 0.00752, N = 3SE +/- 0.00843, N = 3SE +/- 0.00220, N = 3SE +/- 0.06501, N = 32.619382.626432.724162.816162.822272.830625.950195.97160MIN: 2.53MIN: 2.52MIN: 2.52MIN: 2.74MIN: 2.74MIN: 2.75MIN: 5.8MIN: 5.811. (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: u8s8f32 - Engine: CPUAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K246810Min: 2.61 / Avg: 2.62 / Max: 2.63Min: 2.61 / Avg: 2.63 / Max: 2.64Min: 2.72 / Avg: 2.72 / Max: 2.72Min: 2.81 / Avg: 2.82 / Max: 2.82Min: 2.81 / Avg: 2.82 / Max: 2.84Min: 2.82 / Avg: 2.83 / Max: 2.85Min: 5.95 / Avg: 5.95 / Max: 5.95Min: 5.89 / Avg: 5.97 / Max: 6.11. (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: CPURyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K246810SE +/- 0.00155, N = 3SE +/- 0.00125, N = 3SE +/- 0.00379, N = 3SE +/- 0.00778, N = 3SE +/- 0.03712, N = 3SE +/- 0.04962, N = 3SE +/- 0.00761, N = 3SE +/- 0.00328, N = 33.703923.720143.724604.741064.760314.789696.373898.35676MIN: 3.65MIN: 3.65MIN: 3.66MIN: 4.38MIN: 4.37MIN: 4.47MIN: 6.18MIN: 8.321. (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: CPURyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 3.7 / Avg: 3.7 / Max: 3.71Min: 3.72 / Avg: 3.72 / Max: 3.72Min: 3.72 / Avg: 3.72 / Max: 3.73Min: 4.73 / Avg: 4.74 / Max: 4.75Min: 4.71 / Avg: 4.76 / Max: 4.83Min: 4.74 / Avg: 4.79 / Max: 4.89Min: 6.36 / Avg: 6.37 / Max: 6.39Min: 8.35 / Avg: 8.36 / Max: 8.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K246810SE +/- 0.034, N = 3SE +/- 0.019, N = 3SE +/- 0.023, N = 3SE +/- 0.060, N = 3SE +/- 0.022, N = 3SE +/- 0.031, N = 3SE +/- 0.004, N = 3SE +/- 0.009, N = 36.0706.0526.0515.4585.3915.3683.3672.7151. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 6.01 / Avg: 6.07 / Max: 6.13Min: 6.02 / Avg: 6.05 / Max: 6.08Min: 6.01 / Avg: 6.05 / Max: 6.08Min: 5.39 / Avg: 5.46 / Max: 5.58Min: 5.36 / Avg: 5.39 / Max: 5.43Min: 5.34 / Avg: 5.37 / Max: 5.43Min: 3.36 / Avg: 3.37 / Max: 3.37Min: 2.7 / Avg: 2.72 / Max: 2.731. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K50K100K150K200K250KSE +/- 307.57, N = 3SE +/- 133.39, N = 3SE +/- 859.55, N = 3SE +/- 191.14, N = 3SE +/- 78.84, N = 3SE +/- 478.54, N = 3SE +/- 1187.12, N = 3SE +/- 169.10, N = 3105861106857107615120484121363121470158202236302
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K40K80K120K160K200KMin: 105425 / Avg: 105861.33 / Max: 106455Min: 106717 / Avg: 106857.33 / Max: 107124Min: 106170 / Avg: 107615 / Max: 109144Min: 120105 / Avg: 120484.33 / Max: 120715Min: 121229 / Avg: 121363.33 / Max: 121502Min: 120911 / Avg: 121469.67 / Max: 122422Min: 156639 / Avg: 158201.67 / Max: 160531Min: 235967 / Avg: 236302.33 / Max: 236508

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 2020-02-29AMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 2600510152025SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 310.3410.4310.4511.0111.0611.1715.1019.7120.9522.841. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29AMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 2600510152025Min: 10.21 / Avg: 10.34 / Max: 10.47Min: 10.41 / Avg: 10.43 / Max: 10.45Min: 10.42 / Avg: 10.45 / Max: 10.5Min: 10.92 / Avg: 11.01 / Max: 11.17Min: 10.98 / Avg: 11.06 / Max: 11.17Min: 11.13 / Avg: 11.17 / Max: 11.22Min: 14.95 / Avg: 15.1 / Max: 15.2Min: 19.64 / Avg: 19.71 / Max: 19.79Min: 20.91 / Avg: 20.95 / Max: 21Min: 22.79 / Avg: 22.84 / Max: 22.891. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 4096AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 260015K30K45K60K75KSE +/- 569.41, N = 15SE +/- 993.48, N = 3SE +/- 593.17, N = 15SE +/- 1029.94, N = 3SE +/- 611.58, N = 3SE +/- 170.65, N = 3SE +/- 677.97, N = 3SE +/- 497.51, N = 11SE +/- 92.74, N = 3SE +/- 196.30, N = 3712547109970771705297036670107571475643035229329011. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 4096AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 260012K24K36K48K60KMin: 65192 / Avg: 71253.67 / Max: 73429Min: 69596 / Avg: 71099 / Max: 72976Min: 67832 / Avg: 70770.53 / Max: 75257Min: 68839 / Avg: 70529.33 / Max: 72394Min: 69456 / Avg: 70366.33 / Max: 71529Min: 69924 / Avg: 70107 / Max: 70448Min: 56027 / Avg: 57147.33 / Max: 58369Min: 53596 / Avg: 56429.55 / Max: 59186Min: 35047 / Avg: 35229.33 / Max: 35350Min: 32590 / Avg: 32901 / Max: 332641. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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 4KAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 326.5526.5126.2024.0923.3423.2912.3912.261. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430Min: 26.53 / Avg: 26.55 / Max: 26.58Min: 26.42 / Avg: 26.51 / Max: 26.63Min: 25.9 / Avg: 26.2 / Max: 26.44Min: 23.89 / Avg: 24.09 / Max: 24.24Min: 23.13 / Avg: 23.34 / Max: 23.58Min: 23.16 / Avg: 23.29 / Max: 23.35Min: 12.12 / Avg: 12.39 / Max: 12.71Min: 11.98 / Avg: 12.26 / Max: 12.441. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 5AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K714212835SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 330.129.429.128.628.128.021.214.3
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K714212835Min: 29.8 / Avg: 30.1 / Max: 30.4Min: 29.2 / Avg: 29.43 / Max: 29.7Min: 28.8 / Avg: 29.07 / Max: 29.5Min: 28.5 / Avg: 28.63 / Max: 28.7Min: 27.5 / Avg: 28.07 / Max: 28.4Min: 27.9 / Avg: 28.03 / Max: 28.3Min: 20.9 / Avg: 21.17 / Max: 21.4Min: 14.3 / Avg: 14.33 / Max: 14.4

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K612182430SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 12SE +/- 0.16, N = 5SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.36, N = 1512.2612.3812.4113.1413.2113.3719.3425.77
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K612182430Min: 12.15 / Avg: 12.26 / Max: 12.46Min: 12.33 / Avg: 12.38 / Max: 12.42Min: 12.32 / Avg: 12.41 / Max: 12.49Min: 12.73 / Avg: 13.14 / Max: 13.82Min: 12.83 / Avg: 13.21 / Max: 13.76Min: 13.1 / Avg: 13.37 / Max: 13.6Min: 19 / Avg: 19.34 / Max: 19.55Min: 24.34 / Avg: 25.76 / Max: 28.78

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 DragonAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT612182430SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 325.7225.6925.6120.6620.5920.3012.4712.25MIN: 25.39 / MAX: 26.12MIN: 25.47 / MAX: 26.29MIN: 25.33 / MAX: 26.42MIN: 20.44 / MAX: 21.17MIN: 20.43 / MAX: 21.04MIN: 20.13 / MAX: 20.75MIN: 12.36 / MAX: 12.68MIN: 12.09 / MAX: 12.47
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT612182430Min: 25.58 / Avg: 25.72 / Max: 25.82Min: 25.61 / Avg: 25.69 / Max: 25.73Min: 25.44 / Avg: 25.61 / Max: 25.94Min: 20.55 / Avg: 20.66 / Max: 20.82Min: 20.56 / Avg: 20.59 / Max: 20.63Min: 20.28 / Avg: 20.3 / Max: 20.31Min: 12.44 / Avg: 12.47 / Max: 12.52Min: 12.16 / Avg: 12.25 / Max: 12.32

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K70140210280350SE +/- 0.22, N = 3SE +/- 0.37, N = 3SE +/- 0.27, N = 3SE +/- 0.10, N = 3SE +/- 0.33, N = 3SE +/- 0.46, N = 3SE +/- 0.34, N = 3SE +/- 0.89, N = 3159.41160.20160.47175.81176.28192.24243.64333.72MIN: 158.25MIN: 158.98MIN: 159.25MIN: 174.94MIN: 175.02MIN: 180.53MIN: 241.64MIN: 328.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K60120180240300Min: 159.06 / Avg: 159.41 / Max: 159.81Min: 159.53 / Avg: 160.2 / Max: 160.8Min: 160.05 / Avg: 160.47 / Max: 160.98Min: 175.62 / Avg: 175.81 / Max: 175.95Min: 175.73 / Avg: 176.27 / Max: 176.86Min: 191.58 / Avg: 192.24 / Max: 193.12Min: 242.95 / Avg: 243.64 / Max: 244Min: 331.95 / Avg: 333.72 / Max: 334.711. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 4SE +/- 0.01, N = 322.7622.6122.4618.2018.2018.0110.9310.92MIN: 22.6 / MAX: 23.2MIN: 22.49 / MAX: 22.88MIN: 21.88 / MAX: 23.08MIN: 18.05 / MAX: 18.61MIN: 17.7 / MAX: 18.57MIN: 17.83 / MAX: 18.42MIN: 10.41 / MAX: 11.24MIN: 10.86 / MAX: 11.08
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT510152025Min: 22.74 / Avg: 22.76 / Max: 22.8Min: 22.59 / Avg: 22.61 / Max: 22.62Min: 22.12 / Avg: 22.46 / Max: 22.68Min: 18.15 / Avg: 18.2 / Max: 18.24Min: 18.1 / Avg: 18.2 / Max: 18.29Min: 17.97 / Avg: 18.01 / Max: 18.04Min: 10.46 / Avg: 10.93 / Max: 11.11Min: 10.92 / Avg: 10.92 / Max: 10.94

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 GaussianAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K48121620SE +/- 0.064, N = 3SE +/- 0.075, N = 6SE +/- 0.069, N = 3SE +/- 0.080, N = 3SE +/- 0.077, N = 3SE +/- 0.070, N = 3SE +/- 0.017, N = 3SE +/- 0.064, N = 36.7296.7916.9027.3377.3757.3829.72814.018
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K48121620Min: 6.61 / Avg: 6.73 / Max: 6.83Min: 6.59 / Avg: 6.79 / Max: 7.12Min: 6.79 / Avg: 6.9 / Max: 7.03Min: 7.19 / Avg: 7.34 / Max: 7.46Min: 7.23 / Avg: 7.38 / Max: 7.48Min: 7.26 / Avg: 7.38 / Max: 7.51Min: 9.7 / Avg: 9.73 / Max: 9.76Min: 13.9 / Avg: 14.02 / Max: 14.11

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096Ryzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 26007K14K21K28K35KSE +/- 178.40, N = 3SE +/- 630.46, N = 9SE +/- 369.26, N = 3SE +/- 202.26, N = 3SE +/- 316.32, N = 9SE +/- 403.54, N = 9SE +/- 190.90, N = 3SE +/- 168.29, N = 3SE +/- 135.00, N = 33196531577314843095430816307752643223988153711. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096Ryzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 26006K12K18K24K30KMin: 31640 / Avg: 31965 / Max: 32255Min: 29202 / Avg: 31576.78 / Max: 35223Min: 30766 / Avg: 31484.33 / Max: 31992Min: 30564 / Avg: 30954 / Max: 31242Min: 29249 / Avg: 30815.56 / Max: 31911Min: 29219 / Avg: 30774.67 / Max: 32126Min: 26198 / Avg: 26431.67 / Max: 26810Min: 23653 / Avg: 23988.33 / Max: 24181Min: 15117 / Avg: 15371.33 / Max: 155771. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K306090120150SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 3SE +/- 0.20, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.64, N = 365.3465.4065.4469.7069.8970.1597.22134.44
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K306090120150Min: 65.15 / Avg: 65.34 / Max: 65.52Min: 65.24 / Avg: 65.4 / Max: 65.65Min: 65.33 / Avg: 65.44 / Max: 65.57Min: 69.32 / Avg: 69.7 / Max: 70.3Min: 69.56 / Avg: 69.89 / Max: 70.24Min: 69.95 / Avg: 70.15 / Max: 70.5Min: 97.12 / Avg: 97.22 / Max: 97.32Min: 133.27 / Avg: 134.44 / Max: 135.48

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT70140210280350SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 2.16, N = 15333.33333.33333.33333.33333.33333.33166.67163.49MIN: 250MIN: 250MIN: 250 / MAX: 500MIN: 142.86 / MAX: 500MIN: 250 / MAX: 500MIN: 200MIN: 142.86 / MAX: 200MIN: 111.11 / MAX: 166.67
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT60120180240300Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 166.67 / Avg: 166.67 / Max: 166.67Min: 142.86 / Avg: 163.49 / Max: 166.67

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 ChangepointAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K1020304050SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.49, N = 621.9022.0722.1522.5723.1423.1633.0744.52
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K918273645Min: 21.81 / Avg: 21.9 / Max: 22.04Min: 21.87 / Avg: 22.07 / Max: 22.19Min: 22.03 / Avg: 22.15 / Max: 22.26Min: 22.46 / Avg: 22.57 / Max: 22.73Min: 23.11 / Avg: 23.14 / Max: 23.19Min: 23.09 / Avg: 23.16 / Max: 23.26Min: 32.83 / Avg: 33.07 / Max: 33.21Min: 43.42 / Avg: 44.52 / Max: 46.77

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 32Ryzen 9 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 26003K6K9K12K15KSE +/- 221.30, N = 3SE +/- 147.22, N = 3SE +/- 13.35, N = 3SE +/- 65.21, N = 3SE +/- 102.38, N = 3SE +/- 92.96, N = 3SE +/- 144.53, N = 3SE +/- 56.81, N = 3SE +/- 7.31, N = 3SE +/- 1.96, N = 315615.015358.015326.015317.015255.015213.011697.09935.88201.27701.61. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 32Ryzen 9 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 26003K6K9K12K15KMin: 15173 / Avg: 15615 / Max: 15856Min: 15193 / Avg: 15358.33 / Max: 15652Min: 15312 / Avg: 15326.33 / Max: 15353Min: 15243 / Avg: 15317 / Max: 15447Min: 15060 / Avg: 15254.67 / Max: 15407Min: 15051 / Avg: 15212.67 / Max: 15373Min: 11547 / Avg: 11697 / Max: 11986Min: 9864.3 / Avg: 9935.77 / Max: 10048Min: 8192.6 / Avg: 8201.17 / Max: 8215.7Min: 7698.2 / Avg: 7701.6 / Max: 77051. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Ryzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K20406080100SE +/- 0.29, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 3SE +/- 0.33, N = 3SE +/- 0.34, N = 352.3452.4452.7157.7457.7558.0180.53105.801. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Ryzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K20406080100Min: 52.02 / Avg: 52.34 / Max: 52.92Min: 52.17 / Avg: 52.44 / Max: 52.67Min: 52.56 / Avg: 52.71 / Max: 52.88Min: 57.41 / Avg: 57.74 / Max: 58.17Min: 57.43 / Avg: 57.75 / Max: 58.24Min: 57.86 / Avg: 58.01 / Max: 58.26Min: 79.9 / Avg: 80.53 / Max: 81Min: 105.18 / Avg: 105.79 / Max: 106.361. (CXX) g++ options: -O3 -fPIC

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 32AMD 5900XRyzen 9 5900XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 2600XRyzen 5 260013K26K39K52K65KSE +/- 185.99, N = 3SE +/- 913.44, N = 3SE +/- 281.50, N = 3SE +/- 974.59, N = 3SE +/- 652.52, N = 12SE +/- 732.95, N = 3SE +/- 470.34, N = 3SE +/- 94.67, N = 3SE +/- 22.34, N = 3SE +/- 69.63, N = 3622736216261123604976015559901546324705533228311281. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 32AMD 5900XRyzen 9 5900XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 2600XRyzen 5 260011K22K33K44K55KMin: 61936 / Avg: 62272.67 / Max: 62578Min: 61044 / Avg: 62161.67 / Max: 63972Min: 60813 / Avg: 61123 / Max: 61685Min: 58736 / Avg: 60497.33 / Max: 62101Min: 53974 / Avg: 60155.25 / Max: 61909Min: 58629 / Avg: 59901 / Max: 61168Min: 53770 / Avg: 54632.33 / Max: 55389Min: 46872 / Avg: 47055.33 / Max: 47188Min: 33183 / Avg: 33227.67 / Max: 33251Min: 30991 / Avg: 31128.33 / Max: 312171. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigRyzen 5 2600Ryzen 7 3800XTCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950X8001600240032004000SE +/- 0.09, N = 3SE +/- 0.49, N = 3SE +/- 1.20, N = 3SE +/- 0.57, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.71, N = 3SE +/- 1.79, N = 3SE +/- 0.69, N = 3222.301870.032441.472842.902844.082857.413827.413829.403829.681. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigRyzen 5 2600Ryzen 7 3800XTCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950X7001400210028003500Min: 222.18 / Avg: 222.3 / Max: 222.48Min: 1869.06 / Avg: 1870.03 / Max: 1870.59Min: 2439.28 / Avg: 2441.47 / Max: 2443.44Min: 2841.99 / Avg: 2842.9 / Max: 2843.96Min: 2843.8 / Avg: 2844.08 / Max: 2844.24Min: 2857.38 / Avg: 2857.41 / Max: 2857.45Min: 3826.48 / Avg: 3827.41 / Max: 3828.8Min: 3826.06 / Avg: 3829.4 / Max: 3832.2Min: 3828.29 / Avg: 3829.68 / Max: 3830.381. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigRyzen 5 2600Ryzen 7 3800XTCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950X9001800270036004500SE +/- 0.10, N = 3SE +/- 0.36, N = 3SE +/- 1.37, N = 3SE +/- 0.51, N = 3SE +/- 0.42, N = 3SE +/- 0.65, N = 3SE +/- 3.35, N = 3SE +/- 1.14, N = 3SE +/- 1.74, N = 3248.671948.202577.132962.702969.632979.924001.184004.084010.591. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigRyzen 5 2600Ryzen 7 3800XTCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950X7001400210028003500Min: 248.49 / Avg: 248.67 / Max: 248.82Min: 1947.47 / Avg: 1948.2 / Max: 1948.61Min: 2574.93 / Avg: 2577.13 / Max: 2579.65Min: 2961.72 / Avg: 2962.7 / Max: 2963.43Min: 2969.02 / Avg: 2969.63 / Max: 2970.44Min: 2978.63 / Avg: 2979.92 / Max: 2980.68Min: 3995.73 / Avg: 4001.18 / Max: 4007.28Min: 4001.9 / Avg: 4004.08 / Max: 4005.74Min: 4007.72 / Avg: 4010.59 / Max: 4013.721. (CXX) g++ options: -fopenmp -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 BenchmarkRyzen 5 2600XRyzen 5 2600Ryzen 7 3800XTAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600K60K120K180K240K300KSE +/- 300.37, N = 3SE +/- 496.72, N = 3SE +/- 24.08, N = 3SE +/- 16.30, N = 3SE +/- 21.63, N = 3SE +/- 10.94, N = 3SE +/- 15.55, N = 3SE +/- 14.01, N = 3SE +/- 10.19, N = 3SE +/- 52.40, N = 3281938.40255943.4029671.6928344.5928255.0828173.6728169.4628098.8228073.8518231.641. (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 BenchmarkRyzen 5 2600XRyzen 5 2600Ryzen 7 3800XTAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600K50K100K150K200K250KMin: 281377.4 / Avg: 281938.37 / Max: 282405Min: 254963.7 / Avg: 255943.4 / Max: 256575.8Min: 29646.13 / Avg: 29671.69 / Max: 29719.82Min: 28312 / Avg: 28344.59 / Max: 28361.82Min: 28230.52 / Avg: 28255.08 / Max: 28298.2Min: 28157.92 / Avg: 28173.67 / Max: 28194.71Min: 28150.38 / Avg: 28169.46 / Max: 28200.27Min: 28073.13 / Avg: 28098.82 / Max: 28121.36Min: 28057.24 / Avg: 28073.85 / Max: 28092.38Min: 18142.6 / Avg: 18231.64 / Max: 18324.011. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

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: Vulkan GPU - Model: resnet18AMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.521.521.521.521.531.531.5322.37MIN: 22.09 / MAX: 22.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18AMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K510152025Min: 1.51 / Avg: 1.52 / Max: 1.53Min: 1.52 / Avg: 1.52 / Max: 1.52Min: 1.51 / Avg: 1.52 / Max: 1.52Min: 1.51 / Avg: 1.52 / Max: 1.53Min: 1.52 / Avg: 1.53 / Max: 1.53Min: 1.52 / Avg: 1.53 / Max: 1.55Min: 1.53 / Avg: 1.53 / Max: 1.54Min: 22.35 / Avg: 22.37 / Max: 22.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Ryzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5950XCore i5 10600K306090120150SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.83, N = 312.5712.6912.7412.7812.8413.1013.14137.49MIN: 135.88 / MAX: 142.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Ryzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5950XCore i5 10600K306090120150Min: 12.55 / Avg: 12.57 / Max: 12.59Min: 12.65 / Avg: 12.69 / Max: 12.73Min: 12.56 / Avg: 12.74 / Max: 12.86Min: 12.61 / Avg: 12.78 / Max: 12.88Min: 12.74 / Avg: 12.84 / Max: 12.97Min: 13.07 / Avg: 13.1 / Max: 13.14Min: 13.04 / Avg: 13.14 / Max: 13.29Min: 136.58 / Avg: 137.49 / Max: 139.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTRyzen 9 5950XCore i5 10600K1122334455SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 34.414.414.414.414.414.424.5047.35MIN: 4.37 / MAX: 4.65MIN: 4.37 / MAX: 4.67MIN: 4.38 / MAX: 8.34MIN: 4.37 / MAX: 4.59MIN: 4.38 / MAX: 4.62MIN: 4.38 / MAX: 4.57MIN: 4.38 / MAX: 19.37MIN: 46.63 / MAX: 47.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTRyzen 9 5950XCore i5 10600K1020304050Min: 4.41 / Avg: 4.41 / Max: 4.41Min: 4.4 / Avg: 4.41 / Max: 4.42Min: 4.41 / Avg: 4.41 / Max: 4.42Min: 4.4 / Avg: 4.41 / Max: 4.41Min: 4.41 / Avg: 4.41 / Max: 4.41Min: 4.4 / Avg: 4.42 / Max: 4.44Min: 4.41 / Avg: 4.5 / Max: 4.61Min: 47.33 / Avg: 47.35 / Max: 47.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2AMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K1428425670SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.35, N = 331.9832.0532.1135.2535.2935.5548.4563.781. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2AMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K1224364860Min: 31.71 / Avg: 31.98 / Max: 32.16Min: 31.93 / Avg: 32.05 / Max: 32.17Min: 31.89 / Avg: 32.11 / Max: 32.33Min: 35.03 / Avg: 35.25 / Max: 35.42Min: 35.02 / Avg: 35.29 / Max: 35.61Min: 35.45 / Avg: 35.55 / Max: 35.74Min: 48.29 / Avg: 48.45 / Max: 48.56Min: 63.08 / Avg: 63.78 / Max: 64.191. (CXX) g++ options: -O3 -fPIC

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 CompileAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K816243240SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 318.0718.1818.2319.2419.4419.5227.9335.65
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K816243240Min: 18.03 / Avg: 18.07 / Max: 18.14Min: 18.05 / Avg: 18.18 / Max: 18.26Min: 18.06 / Avg: 18.23 / Max: 18.5Min: 19.11 / Avg: 19.24 / Max: 19.39Min: 19.33 / Avg: 19.44 / Max: 19.52Min: 19.5 / Avg: 19.52 / Max: 19.55Min: 27.62 / Avg: 27.93 / Max: 28.17Min: 35.43 / Avg: 35.65 / Max: 35.96

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K306090120150SE +/- 0.30, N = 3SE +/- 0.63, N = 3SE +/- 0.35, N = 3SE +/- 0.47, N = 3SE +/- 0.73, N = 3SE +/- 0.15, N = 3SE +/- 0.25, N = 3SE +/- 0.17, N = 3156.88155.39154.96154.52131.77131.31112.2979.791. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K306090120150Min: 156.28 / Avg: 156.88 / Max: 157.18Min: 154.67 / Avg: 155.39 / Max: 156.64Min: 154.26 / Avg: 154.96 / Max: 155.38Min: 153.77 / Avg: 154.52 / Max: 155.39Min: 130.68 / Avg: 131.77 / Max: 133.16Min: 131.1 / Avg: 131.31 / Max: 131.61Min: 111.91 / Avg: 112.29 / Max: 112.76Min: 79.53 / Avg: 79.79 / Max: 80.11. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K48121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 313.6613.6313.6011.8511.8411.777.646.95
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K48121620Min: 13.64 / Avg: 13.66 / Max: 13.67Min: 13.59 / Avg: 13.63 / Max: 13.66Min: 13.58 / Avg: 13.6 / Max: 13.61Min: 11.83 / Avg: 11.85 / Max: 11.86Min: 11.65 / Avg: 11.84 / Max: 11.96Min: 11.76 / Avg: 11.77 / Max: 11.78Min: 7.63 / Avg: 7.64 / Max: 7.66Min: 6.95 / Avg: 6.95 / Max: 6.95

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.32, N = 3SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 0.34, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 387.1586.1586.0785.4269.9369.6459.6744.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100Min: 87.07 / Avg: 87.15 / Max: 87.24Min: 85.95 / Avg: 86.15 / Max: 86.41Min: 85.47 / Avg: 86.07 / Max: 86.57Min: 85.39 / Avg: 85.42 / Max: 85.44Min: 69.62 / Avg: 69.93 / Max: 70.46Min: 69.14 / Avg: 69.64 / Max: 70.3Min: 59.63 / Avg: 59.67 / Max: 59.7Min: 44.59 / Avg: 44.65 / Max: 44.71. (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: Person Detection 0106 FP32 - Device: CPURyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K0.55581.11161.66742.22322.779SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 32.472.462.452.222.182.161.531.271. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 2.46 / Avg: 2.47 / Max: 2.48Min: 2.42 / Avg: 2.46 / Max: 2.48Min: 2.44 / Avg: 2.45 / Max: 2.45Min: 2.21 / Avg: 2.22 / Max: 2.24Min: 2.15 / Avg: 2.18 / Max: 2.21Min: 2.14 / Avg: 2.16 / Max: 2.18Min: 1.49 / Avg: 1.53 / Max: 1.56Min: 1.27 / Avg: 1.27 / Max: 1.281. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASRyzen 7 3800XTAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 5 2600XRyzen 5 2600AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600K150300450600750SE +/- 11.55, N = 3SE +/- 2.85, N = 3SE +/- 6.03, N = 3SE +/- 5.93, N = 7SE +/- 6.77, N = 3SE +/- 1.73, N = 3SE +/- 6.98, N = 3SE +/- 4.16, N = 3SE +/- 2.91, N = 37165825815544534434194154123691. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASRyzen 7 3800XTAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 5 2600XRyzen 5 2600AMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600K130260390520650Min: 696 / Avg: 716 / Max: 736Min: 579 / Avg: 582.33 / Max: 588Min: 569 / Avg: 581 / Max: 588Min: 541 / Avg: 553.86 / Max: 587Min: 444 / Avg: 452.67 / Max: 466Min: 440 / Avg: 443 / Max: 446Min: 410 / Avg: 419.33 / Max: 433Min: 409 / Avg: 415 / Max: 423Min: 407 / Avg: 412.33 / Max: 4171. (CXX) g++ options: -flto -pthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K0.5581.1161.6742.2322.79SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.482.472.452.242.212.201.561.281. (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: CPUAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K246810Min: 2.45 / Avg: 2.48 / Max: 2.5Min: 2.43 / Avg: 2.47 / Max: 2.49Min: 2.41 / Avg: 2.45 / Max: 2.49Min: 2.24 / Avg: 2.24 / Max: 2.24Min: 2.2 / Avg: 2.21 / Max: 2.22Min: 2.14 / Avg: 2.2 / Max: 2.25Min: 1.56 / Avg: 1.56 / Max: 1.56Min: 1.27 / Avg: 1.28 / Max: 1.31. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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: 3D Elevated Function In Random Colors, 100 TimesAMD Ryzen 9 5900XAMD 5900XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT20406080100SE +/- 0.10, N = 3SE +/- 0.27, N = 3SE +/- 0.16, N = 3SE +/- 0.32, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.68, N = 339.9240.2740.3840.3940.4840.7758.3476.691. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesAMD Ryzen 9 5900XAMD 5900XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT1530456075Min: 39.73 / Avg: 39.92 / Max: 40.06Min: 39.92 / Avg: 40.27 / Max: 40.8Min: 40.18 / Avg: 40.38 / Max: 40.69Min: 39.76 / Avg: 40.39 / Max: 40.76Min: 40.33 / Avg: 40.48 / Max: 40.7Min: 40.54 / Avg: 40.77 / Max: 41.03Min: 58.33 / Avg: 58.34 / Max: 58.36Min: 75.33 / Avg: 76.69 / Max: 77.461. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 DocumentAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K714212835SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 315.4915.4915.6017.1617.2817.3024.3029.50
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K714212835Min: 15.36 / Avg: 15.49 / Max: 15.58Min: 15.31 / Avg: 15.49 / Max: 15.76Min: 15.28 / Avg: 15.6 / Max: 15.79Min: 17.03 / Avg: 17.16 / Max: 17.33Min: 17.06 / Avg: 17.28 / Max: 17.56Min: 17.05 / Avg: 17.3 / Max: 17.52Min: 24.17 / Avg: 24.3 / Max: 24.45Min: 29.37 / Avg: 29.5 / Max: 29.67

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: CPUAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT0.81681.63362.45043.26724.084SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.633.623.613.293.063.052.121.931. (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: CPUAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT246810Min: 3.61 / Avg: 3.63 / Max: 3.65Min: 3.58 / Avg: 3.62 / Max: 3.64Min: 3.6 / Avg: 3.61 / Max: 3.63Min: 3.26 / Avg: 3.29 / Max: 3.33Min: 3.05 / Avg: 3.06 / Max: 3.07Min: 3.04 / Avg: 3.05 / Max: 3.06Min: 2.11 / Avg: 2.12 / Max: 2.12Min: 1.92 / Avg: 1.93 / Max: 1.941. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNARyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XAMD 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 26003691215SE +/- 0.039, N = 3SE +/- 0.014, N = 3SE +/- 0.052, N = 3SE +/- 0.013, N = 3SE +/- 0.023, N = 3SE +/- 0.023, N = 3SE +/- 0.019, N = 3SE +/- 0.087, N = 3SE +/- 0.056, N = 37.2257.3527.3727.3847.4377.4688.66211.21413.4651. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNARyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XAMD 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 260048121620Min: 7.15 / Avg: 7.23 / Max: 7.28Min: 7.33 / Avg: 7.35 / Max: 7.38Min: 7.28 / Avg: 7.37 / Max: 7.46Min: 7.36 / Avg: 7.38 / Max: 7.41Min: 7.41 / Avg: 7.44 / Max: 7.48Min: 7.42 / Avg: 7.47 / Max: 7.5Min: 8.64 / Avg: 8.66 / Max: 8.7Min: 11.09 / Avg: 11.21 / Max: 11.38Min: 13.37 / Avg: 13.46 / Max: 13.561. (CC) gcc options: -std=c99 -O3 -lm -lpthread

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 32AMD Ryzen 9 5900XAMD 5950XRyzen 9 5900XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 2600XRyzen 5 26005K10K15K20K25KSE +/- 154.15, N = 3SE +/- 176.91, N = 3SE +/- 280.09, N = 3SE +/- 184.11, N = 15SE +/- 304.53, N = 4SE +/- 111.34, N = 3SE +/- 74.14, N = 3SE +/- 202.40, N = 3SE +/- 147.89, N = 3SE +/- 115.82, N = 3223552232221981217232160521519177641628412821120081. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 32AMD Ryzen 9 5900XAMD 5950XRyzen 9 5900XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 2600XRyzen 5 26004K8K12K16K20KMin: 22102 / Avg: 22354.67 / Max: 22634Min: 21986 / Avg: 22322 / Max: 22586Min: 21670 / Avg: 21981 / Max: 22540Min: 19638 / Avg: 21723 / Max: 22698Min: 20913 / Avg: 21604.75 / Max: 22225Min: 21406 / Avg: 21519.33 / Max: 21742Min: 17622 / Avg: 17764 / Max: 17872Min: 16017 / Avg: 16284 / Max: 16681Min: 12526 / Avg: 12821 / Max: 12987Min: 11804 / Avg: 12008.33 / Max: 122051. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT0.81451.6292.44353.2584.0725SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.623.613.613.233.063.052.111.951. (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: CPUAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT246810Min: 3.6 / Avg: 3.62 / Max: 3.64Min: 3.59 / Avg: 3.61 / Max: 3.62Min: 3.58 / Avg: 3.61 / Max: 3.63Min: 3.22 / Avg: 3.23 / Max: 3.24Min: 3.05 / Avg: 3.06 / Max: 3.08Min: 3.05 / Avg: 3.05 / Max: 3.06Min: 2.1 / Avg: 2.11 / Max: 2.12Min: 1.94 / Avg: 1.95 / Max: 1.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -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 1080pAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT50100150200250SE +/- 0.25, N = 3SE +/- 0.26, N = 3SE +/- 0.21, N = 3SE +/- 1.13, N = 3SE +/- 0.36, N = 3SE +/- 0.83, N = 3SE +/- 0.24, N = 3SE +/- 0.29, N = 3219.49219.46218.58204.14202.52200.63122.53118.771. (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 1080pAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT4080120160200Min: 218.98 / Avg: 219.49 / Max: 219.78Min: 219.06 / Avg: 219.46 / Max: 219.94Min: 218.26 / Avg: 218.58 / Max: 218.98Min: 201.88 / Avg: 204.14 / Max: 205.41Min: 201.95 / Avg: 202.52 / Max: 203.18Min: 199 / Avg: 200.63 / Max: 201.75Min: 122.05 / Avg: 122.53 / Max: 122.8Min: 118.18 / Avg: 118.77 / Max: 119.071. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 1080pRyzen 9 5900XAMD Ryzen 9 5900XCore i5 10600KAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XT306090120150SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.38, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3139.0393.4893.1893.0788.9388.6888.6775.891. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 1080pRyzen 9 5900XAMD Ryzen 9 5900XCore i5 10600KAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XT306090120150Min: 138.88 / Avg: 139.03 / Max: 139.32Min: 93.36 / Avg: 93.48 / Max: 93.71Min: 93.15 / Avg: 93.18 / Max: 93.21Min: 92.77 / Avg: 93.07 / Max: 93.28Min: 88.62 / Avg: 88.93 / Max: 89.12Min: 88.04 / Avg: 88.68 / Max: 89.35Min: 88.56 / Avg: 88.67 / Max: 88.85Min: 75.59 / Avg: 75.89 / Max: 76.121. (CXX) g++ options: -O3 -lpthread

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 32Ryzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XRyzen 7 3800XTRyzen 5 2600XCore i5 10600KRyzen 5 26004K8K12K16K20KSE +/- 57.58, N = 3SE +/- 44.56, N = 3SE +/- 114.84, N = 3SE +/- 123.28, N = 3SE +/- 173.52, N = 7SE +/- 69.83, N = 3SE +/- 110.00, N = 3SE +/- 135.04, N = 15SE +/- 13.75, N = 3SE +/- 321.19, N = 1516502.016246.016071.015995.015897.015805.011623.010302.610036.09155.41. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 32Ryzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XRyzen 7 3800XTRyzen 5 2600XCore i5 10600KRyzen 5 26003K6K9K12K15KMin: 16393 / Avg: 16501.67 / Max: 16589Min: 16166 / Avg: 16246 / Max: 16320Min: 15933 / Avg: 16071 / Max: 16299Min: 15756 / Avg: 15995 / Max: 16167Min: 14890 / Avg: 15897 / Max: 16207Min: 15702 / Avg: 15804.67 / Max: 15938Min: 11403 / Avg: 11622.67 / Max: 11743Min: 8896.8 / Avg: 10302.58 / Max: 10618Min: 10009 / Avg: 10036 / Max: 10054Min: 6200.9 / Avg: 9155.4 / Max: 9949.51. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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 CompileAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1530456075SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 337.4637.6637.7539.7740.0040.3054.0966.38
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1326395265Min: 37.33 / Avg: 37.46 / Max: 37.55Min: 37.47 / Avg: 37.66 / Max: 37.91Min: 37.56 / Avg: 37.75 / Max: 37.97Min: 39.72 / Avg: 39.77 / Max: 39.82Min: 39.84 / Avg: 40 / Max: 40.1Min: 40.04 / Avg: 40.3 / Max: 40.44Min: 53.92 / Avg: 54.09 / Max: 54.33Min: 66.34 / Avg: 66.38 / Max: 66.41

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPURyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 311.5111.4911.4911.4511.3311.166.986.51
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPURyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 11.41 / Avg: 11.51 / Max: 11.59Min: 11.33 / Avg: 11.49 / Max: 11.57Min: 11.31 / Avg: 11.49 / Max: 11.59Min: 11.35 / Avg: 11.45 / Max: 11.62Min: 11.2 / Avg: 11.33 / Max: 11.59Min: 10.86 / Avg: 11.16 / Max: 11.35Min: 6.97 / Avg: 6.98 / Max: 6.99Min: 6.48 / Avg: 6.51 / Max: 6.55

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: vklBenchmarkVdbVolumeCore i5 10600KRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XT5M10M15M20M25MSE +/- 118941.35, N = 3SE +/- 309403.03, N = 3SE +/- 62277.69, N = 3SE +/- 61112.05, N = 3SE +/- 230942.03, N = 6SE +/- 186883.69, N = 3SE +/- 61099.23, N = 3SE +/- 110428.40, N = 324669148.3920857687.6020614009.3620509634.0919420035.1518827053.0918783067.5914007265.65MIN: 1005904 / MAX: 79348824MIN: 1189168 / MAX: 90296352MIN: 1190670 / MAX: 91670040MIN: 1191435 / MAX: 92939832MIN: 1173732 / MAX: 81625608MIN: 1175498 / MAX: 71954064MIN: 1205223 / MAX: 79342056MIN: 895129 / MAX: 51913080
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeCore i5 10600KRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XT4M8M12M16M20MMin: 24512569.84 / Avg: 24669148.39 / Max: 24902529.57Min: 20501792.09 / Avg: 20857687.6 / Max: 21474035.27Min: 20525121.43 / Avg: 20614009.36 / Max: 20734016.11Min: 20409848.32 / Avg: 20509634.09 / Max: 20620651.02Min: 18545197.18 / Avg: 19420035.15 / Max: 20182659.23Min: 18513319.59 / Avg: 18827053.09 / Max: 19159860.18Min: 18685823.34 / Avg: 18783067.59 / Max: 18895775.7Min: 13872868.05 / Avg: 14007265.65 / Max: 14226241.45

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 NanotubeRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K120240360480600SE +/- 0.16, N = 3SE +/- 0.80, N = 3SE +/- 0.84, N = 3SE +/- 0.58, N = 3SE +/- 0.72, N = 3SE +/- 0.51, N = 3SE +/- 0.37, N = 3SE +/- 0.22, N = 3326.40327.08327.33328.75330.40331.65344.12574.361. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K100200300400500Min: 326.15 / Avg: 326.4 / Max: 326.71Min: 325.48 / Avg: 327.08 / Max: 328.03Min: 326.35 / Avg: 327.33 / Max: 329.01Min: 327.64 / Avg: 328.75 / Max: 329.59Min: 329.28 / Avg: 330.4 / Max: 331.74Min: 330.96 / Avg: 331.65 / Max: 332.64Min: 343.65 / Avg: 344.12 / Max: 344.85Min: 573.95 / Avg: 574.36 / Max: 574.691. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

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 1080pRyzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT2004006008001000SE +/- 7.02, N = 3SE +/- 1.69, N = 3SE +/- 0.83, N = 3SE +/- 0.29, N = 3SE +/- 1.25, N = 3SE +/- 2.13, N = 3SE +/- 1.09, N = 3SE +/- 1.03, N = 3833.60672.60672.22669.98628.84626.87503.09474.09MIN: 665.75 / MAX: 915.52MIN: 506.97 / MAX: 731.4MIN: 496.08 / MAX: 732.44MIN: 489.66 / MAX: 728.89MIN: 486.56 / MAX: 683.25MIN: 480.84 / MAX: 682.79MIN: 452.97 / MAX: 550.15MIN: 395.76 / MAX: 514.121. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pRyzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT150300450600750Min: 820.17 / Avg: 833.6 / Max: 843.82Min: 670.4 / Avg: 672.6 / Max: 675.93Min: 670.83 / Avg: 672.22 / Max: 673.69Min: 669.67 / Avg: 669.98 / Max: 670.57Min: 626.49 / Avg: 628.84 / Max: 630.79Min: 623.06 / Avg: 626.87 / Max: 630.41Min: 500.96 / Avg: 503.09 / Max: 504.54Min: 472.49 / Avg: 474.09 / Max: 4761. (CC) gcc options: -pthread

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XT20406080100SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 390.3459.4259.3858.3157.0156.9456.7951.641. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XT20406080100Min: 90.19 / Avg: 90.34 / Max: 90.63Min: 59.23 / Avg: 59.42 / Max: 59.53Min: 59.3 / Avg: 59.38 / Max: 59.46Min: 58.23 / Avg: 58.31 / Max: 58.38Min: 56.98 / Avg: 57.01 / Max: 57.04Min: 56.85 / Avg: 56.94 / Max: 57.1Min: 56.7 / Avg: 56.79 / Max: 56.87Min: 51.56 / Avg: 51.64 / Max: 51.711. (CXX) g++ options: -O3 -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: MediumAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 35.545.555.585.945.956.017.969.451. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 5.51 / Avg: 5.54 / Max: 5.56Min: 5.46 / Avg: 5.55 / Max: 5.6Min: 5.58 / Avg: 5.58 / Max: 5.58Min: 5.89 / Avg: 5.94 / Max: 6.01Min: 5.94 / Avg: 5.95 / Max: 5.95Min: 6 / Avg: 6.01 / Max: 6.01Min: 7.93 / Avg: 7.96 / Max: 8.01Min: 9.44 / Avg: 9.45 / Max: 9.461. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 7 3800XTCore i5 10600KRyzen 5 260020406080100SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.30, N = 3SE +/- 0.44, N = 3SE +/- 0.03, N = 3SE +/- 0.70, N = 357.3457.4857.5561.8361.8762.0666.9268.4195.48-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-mmpx-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 AnalysisAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 7 3800XTCore i5 10600KRyzen 5 260020406080100Min: 57.21 / Avg: 57.34 / Max: 57.49Min: 57.37 / Avg: 57.48 / Max: 57.56Min: 57.34 / Avg: 57.55 / Max: 57.88Min: 61.7 / Avg: 61.83 / Max: 61.95Min: 61.84 / Avg: 61.87 / Max: 61.91Min: 61.7 / Avg: 62.06 / Max: 62.67Min: 66.13 / Avg: 66.92 / Max: 67.65Min: 68.37 / Avg: 68.41 / Max: 68.47Min: 94.76 / Avg: 95.48 / Max: 96.881. (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

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K4080120160200SE +/- 0.08, N = 3SE +/- 0.26, N = 3SE +/- 0.35, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3170.83132.65132.62132.58128.52128.43105.32102.88MIN: 109.78 / MAX: 351.3MIN: 92.6 / MAX: 262.4MIN: 92.47 / MAX: 269.38MIN: 92.3 / MAX: 265.35MIN: 88.12 / MAX: 271.52MIN: 87.95 / MAX: 270.05MIN: 69.6 / MAX: 235.58MIN: 66.83 / MAX: 243.21. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K306090120150Min: 170.71 / Avg: 170.83 / Max: 170.98Min: 132.21 / Avg: 132.65 / Max: 133.12Min: 132.16 / Avg: 132.62 / Max: 133.3Min: 132.41 / Avg: 132.58 / Max: 132.84Min: 128.16 / Avg: 128.52 / Max: 128.75Min: 128.24 / Avg: 128.43 / Max: 128.63Min: 105.1 / Avg: 105.32 / Max: 105.49Min: 102.7 / Avg: 102.88 / Max: 103.011. (CC) gcc options: -pthread

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: vklBenchmarkStructuredVolumeRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20M40M60M80M100MSE +/- 1089359.38, N = 3SE +/- 719476.33, N = 3SE +/- 265969.65, N = 3SE +/- 615624.99, N = 3SE +/- 868329.69, N = 15SE +/- 1314327.34, N = 3SE +/- 713772.92, N = 5SE +/- 315772.63, N = 387846736.2685803057.9585595374.7783346443.7481426457.9280664192.1057706990.7752980370.18MIN: 1371349 / MAX: 808255296MIN: 1355325 / MAX: 701261424MIN: 1373098 / MAX: 711849312MIN: 1360222 / MAX: 802453896MIN: 1274765 / MAX: 835660728MIN: 1335273 / MAX: 687765600MIN: 1055838 / MAX: 462495384MIN: 1340295 / MAX: 347818176
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K15M30M45M60M75MMin: 86098647.19 / Avg: 87846736.26 / Max: 89846946.86Min: 84822992.97 / Avg: 85803057.95 / Max: 87205528.41Min: 85223909.08 / Avg: 85595374.77 / Max: 86110849.16Min: 82116510.16 / Avg: 83346443.74 / Max: 84010704.7Min: 75548135.3 / Avg: 81426457.92 / Max: 86487266.95Min: 78384931.35 / Avg: 80664192.1 / Max: 82937884.59Min: 54857333.92 / Avg: 57706990.77 / Max: 58524128.46Min: 52354402.73 / Avg: 52980370.18 / Max: 53365884.03

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRyzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K50100150200250SE +/- 0.41, N = 3SE +/- 0.30, N = 3SE +/- 0.44, N = 3SE +/- 0.45, N = 3SE +/- 0.59, N = 3SE +/- 0.66, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3237.33232.15231.69231.17228.23227.79171.31143.64MIN: 190.86 / MAX: 250.47MIN: 166.38 / MAX: 241.46MIN: 167.15 / MAX: 241MIN: 171.37 / MAX: 239.7MIN: 186.45 / MAX: 243.08MIN: 169.54 / MAX: 242.06MIN: 153.55 / MAX: 184.15MIN: 135.32 / MAX: 160.81. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRyzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K4080120160200Min: 236.61 / Avg: 237.33 / Max: 238.04Min: 231.75 / Avg: 232.15 / Max: 232.74Min: 230.86 / Avg: 231.69 / Max: 232.36Min: 230.46 / Avg: 231.17 / Max: 231.99Min: 227.1 / Avg: 228.23 / Max: 229.08Min: 226.5 / Avg: 227.79 / Max: 228.65Min: 171.19 / Avg: 171.31 / Max: 171.46Min: 143.46 / Avg: 143.64 / Max: 143.971. (CC) gcc options: -pthread

Timed GDB GNU Debugger Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 367.0881.9081.9782.5083.6983.7299.43110.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K20406080100Min: 67.02 / Avg: 67.08 / Max: 67.15Min: 81.75 / Avg: 81.9 / Max: 82.14Min: 81.82 / Avg: 81.97 / Max: 82.21Min: 82.36 / Avg: 82.5 / Max: 82.61Min: 83.51 / Avg: 83.69 / Max: 84.04Min: 83.43 / Avg: 83.72 / Max: 84.11Min: 99.36 / Avg: 99.43 / Max: 99.49Min: 110.28 / Avg: 110.5 / Max: 110.62

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To CompileRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K2004006008001000SE +/- 2.44, N = 3SE +/- 0.44, N = 3SE +/- 1.21, N = 3SE +/- 1.50, N = 3SE +/- 2.82, N = 3SE +/- 1.68, N = 3SE +/- 1.52, N = 3SE +/- 1.01, N = 3635.97666.42667.11667.56701.27702.51872.061044.81
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To CompileRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K2004006008001000Min: 631.84 / Avg: 635.97 / Max: 640.27Min: 665.57 / Avg: 666.42 / Max: 667.03Min: 665.02 / Avg: 667.11 / Max: 669.21Min: 665.92 / Avg: 667.56 / Max: 670.56Min: 695.73 / Avg: 701.27 / Max: 704.91Min: 700.55 / Avg: 702.51 / Max: 705.86Min: 869.2 / Avg: 872.06 / Max: 874.4Min: 1042.95 / Avg: 1044.81 / Max: 1046.45

FFmpeg

This test uses FFmpeg for testing the system's audio/video encoding performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 4.0.2H.264 HD To NTSC DVRyzen 9 5900XCore i5 10600KAMD 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 7 3800XT246810SE +/- 0.069, N = 3SE +/- 0.035, N = 3SE +/- 0.071, N = 3SE +/- 0.030, N = 3SE +/- 0.053, N = 3SE +/- 0.033, N = 3SE +/- 0.053, N = 3SE +/- 0.038, N = 34.2944.3606.2416.2426.3586.3946.4316.9681. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lXv -lX11 -lXext -lm -lxcb -lasound -lSDL2 -lsndio -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 4.0.2H.264 HD To NTSC DVRyzen 9 5900XCore i5 10600KAMD 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 7 3800XT3691215Min: 4.16 / Avg: 4.29 / Max: 4.38Min: 4.32 / Avg: 4.36 / Max: 4.43Min: 6.1 / Avg: 6.24 / Max: 6.33Min: 6.18 / Avg: 6.24 / Max: 6.28Min: 6.26 / Avg: 6.36 / Max: 6.44Min: 6.34 / Avg: 6.39 / Max: 6.45Min: 6.36 / Avg: 6.43 / Max: 6.53Min: 6.9 / Avg: 6.97 / Max: 7.031. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lXv -lX11 -lXext -lm -lxcb -lasound -lSDL2 -lsndio -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT2004006008001000SE +/- 2.26, N = 3SE +/- 3.16, N = 3SE +/- 1.51, N = 3SE +/- 2.41, N = 3SE +/- 1.28, N = 3SE +/- 0.63, N = 3SE +/- 1.03, N = 3SE +/- 1.29, N = 3847.89690.51690.35688.96666.05664.83552.33524.05MIN: 657.98 / MAX: 1058.66MIN: 524.51 / MAX: 881.93MIN: 523.59 / MAX: 880.8MIN: 522.39 / MAX: 880.13MIN: 504.23 / MAX: 838.15MIN: 505.37 / MAX: 838.08MIN: 403.87 / MAX: 881.51MIN: 400.09 / MAX: 740.691. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT150300450600750Min: 843.52 / Avg: 847.89 / Max: 851.06Min: 684.89 / Avg: 690.51 / Max: 695.82Min: 687.32 / Avg: 690.35 / Max: 691.89Min: 684.44 / Avg: 688.96 / Max: 692.68Min: 664.26 / Avg: 666.05 / Max: 668.52Min: 663.79 / Avg: 664.83 / Max: 665.98Min: 550.7 / Avg: 552.33 / Max: 554.23Min: 522.75 / Avg: 524.05 / Max: 526.631. (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: VMAF Optimized - Input: Bosphorus 1080pAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT50100150200250SE +/- 2.08, N = 10SE +/- 2.32, N = 8SE +/- 2.35, N = 8SE +/- 3.42, N = 3SE +/- 3.38, N = 3SE +/- 2.95, N = 4SE +/- 1.47, N = 3SE +/- 1.23, N = 3227.00226.97226.84217.00216.95216.58150.52142.091. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT4080120160200Min: 208.41 / Avg: 227 / Max: 229.71Min: 210.82 / Avg: 226.97 / Max: 230.06Min: 210.45 / Avg: 226.84 / Max: 229.71Min: 210.3 / Avg: 217 / Max: 221.57Min: 210.23 / Avg: 216.95 / Max: 220.91Min: 207.76 / Avg: 216.58 / Max: 219.94Min: 147.6 / Avg: 150.52 / Max: 152.25Min: 139.66 / Avg: 142.09 / Max: 143.641. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600KAMD 5950XRyzen 7 3800XTRyzen 5 2600306090120150SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.28, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 379.6698.0798.25102.30102.50102.78102.80103.12127.181. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600KAMD 5950XRyzen 7 3800XTRyzen 5 260020406080100Min: 79.57 / Avg: 79.66 / Max: 79.75Min: 97.6 / Avg: 98.07 / Max: 98.4Min: 97.68 / Avg: 98.25 / Max: 98.56Min: 102.04 / Avg: 102.3 / Max: 102.62Min: 102.38 / Avg: 102.5 / Max: 102.69Min: 102.66 / Avg: 102.78 / Max: 102.85Min: 102.66 / Avg: 102.8 / Max: 102.89Min: 102.92 / Avg: 103.12 / Max: 103.35Min: 127.01 / Avg: 127.18 / Max: 127.411. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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 1080pRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5950XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT20406080100SE +/- 0.35, N = 3SE +/- 0.26, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.39, N = 3SE +/- 0.19, N = 383.6972.4772.2372.1171.7171.3152.8252.481. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5950XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT1632486480Min: 83.04 / Avg: 83.69 / Max: 84.23Min: 71.96 / Avg: 72.47 / Max: 72.77Min: 71.9 / Avg: 72.23 / Max: 72.56Min: 71.9 / Avg: 72.11 / Max: 72.26Min: 71.46 / Avg: 71.71 / Max: 71.87Min: 71.05 / Avg: 71.31 / Max: 71.55Min: 52.04 / Avg: 52.82 / Max: 53.23Min: 52.27 / Avg: 52.48 / Max: 52.861. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 4096AMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 26003K6K9K12K15KSE +/- 71.50, N = 3SE +/- 72.08, N = 3SE +/- 194.51, N = 3SE +/- 54.87, N = 3SE +/- 23.18, N = 3SE +/- 51.67, N = 3SE +/- 80.64, N = 3SE +/- 45.03, N = 3SE +/- 19.90, N = 3SE +/- 9.85, N = 312105.011976.011745.011731.011669.011665.09198.58768.88103.37616.81. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 4096AMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 26002K4K6K8K10KMin: 11962 / Avg: 12105 / Max: 12177Min: 11898 / Avg: 11976 / Max: 12120Min: 11548 / Avg: 11745 / Max: 12134Min: 11625 / Avg: 11731.33 / Max: 11808Min: 11623 / Avg: 11669 / Max: 11697Min: 11562 / Avg: 11665.33 / Max: 11718Min: 9044.6 / Avg: 9198.53 / Max: 9317.2Min: 8679.7 / Avg: 8768.83 / Max: 8824.5Min: 8074.8 / Avg: 8103.3 / Max: 8141.6Min: 7600.2 / Avg: 7616.8 / Max: 7634.31. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -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: VGG16 - Device: CPUAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K510152025SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.23, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 321.1420.9320.8318.2918.1517.8115.6413.33
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K510152025Min: 20.71 / Avg: 21.14 / Max: 21.36Min: 20.79 / Avg: 20.93 / Max: 21.09Min: 20.79 / Avg: 20.83 / Max: 20.9Min: 17.99 / Avg: 18.29 / Max: 18.75Min: 17.98 / Avg: 18.15 / Max: 18.33Min: 17.67 / Avg: 17.81 / Max: 18.06Min: 15.46 / Avg: 15.64 / Max: 15.89Min: 13.08 / Avg: 13.33 / Max: 13.51

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeRyzen 9 5900XAMD 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT714212835SE +/- 0.25, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 330.9025.1825.1325.0925.0424.9321.7519.671. (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 RealtimeRyzen 9 5900XAMD 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT714212835Min: 30.51 / Avg: 30.9 / Max: 31.37Min: 24.98 / Avg: 25.18 / Max: 25.4Min: 24.92 / Avg: 25.13 / Max: 25.53Min: 24.97 / Avg: 25.09 / Max: 25.33Min: 24.71 / Avg: 25.04 / Max: 25.23Min: 24.63 / Avg: 24.93 / Max: 25.17Min: 21.61 / Avg: 21.75 / Max: 21.88Min: 19.55 / Avg: 19.67 / Max: 19.91. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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 tau100.0AMD Ryzen 9 5900XAMD 5900XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 260060120180240300SE +/- 0.33, N = 3SE +/- 1.53, N = 3SE +/- 1.33, N = 3SE +/- 2.89, N = 31791801811821831852042102791. (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 tau100.0AMD Ryzen 9 5900XAMD 5900XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XTRyzen 5 260050100150200250Min: 180 / Avg: 180.67 / Max: 181Min: 179 / Avg: 182 / Max: 184Min: 182 / Avg: 183.33 / Max: 186Min: 180 / Avg: 185 / Max: 1901. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRyzen 9 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD 5900XCore i5 10600KRyzen 7 3800XT0.29070.58140.87211.16281.4535SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 31.2921.2911.2911.2901.2901.2810.8420.8311. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRyzen 9 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD 5900XCore i5 10600KRyzen 7 3800XT246810Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 1.28 / Avg: 1.29 / Max: 1.3Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 1.29 / Avg: 1.29 / Max: 1.29Min: 1.26 / Avg: 1.28 / Max: 1.29Min: 0.84 / Avg: 0.84 / Max: 0.85Min: 0.83 / Avg: 0.83 / Max: 0.841. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT50100150200250SE +/- 0.05, N = 3SE +/- 0.58, N = 3SE +/- 0.24, N = 3SE +/- 0.98, N = 3SE +/- 1.06, N = 3SE +/- 0.54, N = 3SE +/- 0.11, N = 3SE +/- 0.37, N = 3234.47234.35234.07226.62224.90224.33155.59150.921. (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 1080pAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT4080120160200Min: 234.38 / Avg: 234.47 / Max: 234.56Min: 233.55 / Avg: 234.35 / Max: 235.48Min: 233.64 / Avg: 234.07 / Max: 234.47Min: 225.48 / Avg: 226.62 / Max: 228.57Min: 223.8 / Avg: 224.9 / Max: 227.01Min: 223.3 / Avg: 224.33 / Max: 225.14Min: 155.36 / Avg: 155.59 / Max: 155.72Min: 150.19 / Avg: 150.92 / Max: 151.321. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 4KRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 7 3800XTCore i5 10600K918273645SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 337.0728.6128.4927.7327.7127.6024.3823.951. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 4KRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 7 3800XTCore i5 10600K816243240Min: 37.06 / Avg: 37.07 / Max: 37.09Min: 28.6 / Avg: 28.61 / Max: 28.62Min: 28.42 / Avg: 28.49 / Max: 28.54Min: 27.65 / Avg: 27.73 / Max: 27.77Min: 27.64 / Avg: 27.71 / Max: 27.78Min: 27.56 / Avg: 27.6 / Max: 27.63Min: 24.36 / Avg: 24.38 / Max: 24.41Min: 23.94 / Avg: 23.95 / Max: 23.971. (CXX) g++ options: -O3 -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: IP Batch 1D - Data Type: f32 - Engine: CPUAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT1.1152.233.3454.465.575SE +/- 0.01282, N = 3SE +/- 0.01281, N = 3SE +/- 0.00714, N = 3SE +/- 0.04025, N = 3SE +/- 0.01588, N = 3SE +/- 0.05355, N = 3SE +/- 0.01301, N = 3SE +/- 0.00543, N = 33.228103.562163.634723.655453.890634.236594.259634.95543MIN: 2.95MIN: 3.31MIN: 3.43MIN: 3.4MIN: 3.7MIN: 3.51MIN: 4.15MIN: 4.831. (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: CPUAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT246810Min: 3.21 / Avg: 3.23 / Max: 3.25Min: 3.54 / Avg: 3.56 / Max: 3.58Min: 3.63 / Avg: 3.63 / Max: 3.65Min: 3.61 / Avg: 3.66 / Max: 3.74Min: 3.86 / Avg: 3.89 / Max: 3.92Min: 4.13 / Avg: 4.24 / Max: 4.3Min: 4.23 / Avg: 4.26 / Max: 4.28Min: 4.94 / Avg: 4.96 / Max: 4.961. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -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: mobilenetRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K510152025SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 312.2912.2912.3612.6212.6512.8017.4418.85MIN: 11.99 / MAX: 27.29MIN: 12.1 / MAX: 12.74MIN: 12.14 / MAX: 14.7MIN: 12.38 / MAX: 27.34MIN: 12.37 / MAX: 50.77MIN: 12.46 / MAX: 27.84MIN: 16.99 / MAX: 17.9MIN: 18.61 / MAX: 21.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K510152025Min: 12.12 / Avg: 12.29 / Max: 12.38Min: 12.18 / Avg: 12.29 / Max: 12.39Min: 12.21 / Avg: 12.36 / Max: 12.59Min: 12.51 / Avg: 12.62 / Max: 12.84Min: 12.46 / Avg: 12.65 / Max: 12.87Min: 12.6 / Avg: 12.8 / Max: 13.01Min: 17.35 / Avg: 17.44 / Max: 17.5Min: 18.75 / Avg: 18.85 / Max: 19.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Tungsten Renderer

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K714212835SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 319.4519.4619.5421.0721.1721.1925.9829.83-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K714212835Min: 19.42 / Avg: 19.45 / Max: 19.51Min: 19.39 / Avg: 19.46 / Max: 19.54Min: 19.52 / Avg: 19.54 / Max: 19.56Min: 21 / Avg: 21.07 / Max: 21.11Min: 21.05 / Avg: 21.17 / Max: 21.34Min: 21.12 / Avg: 21.19 / Max: 21.27Min: 25.84 / Avg: 25.98 / Max: 26.11Min: 29.69 / Avg: 29.83 / Max: 29.981. (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

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080p 10-bitRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT816243240SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 333.0625.7125.6825.1425.1025.1024.0521.761. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080p 10-bitRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT714212835Min: 33.03 / Avg: 33.06 / Max: 33.11Min: 25.66 / Avg: 25.71 / Max: 25.77Min: 25.64 / Avg: 25.68 / Max: 25.73Min: 25.1 / Avg: 25.14 / Max: 25.19Min: 25.08 / Avg: 25.1 / Max: 25.11Min: 25.09 / Avg: 25.1 / Max: 25.11Min: 24.05 / Avg: 24.05 / Max: 24.06Min: 21.69 / Avg: 21.76 / Max: 21.831. (CXX) g++ options: -O3 -lpthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD 5950XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT1326395265SE +/- 0.11, N = 3SE +/- 0.61, N = 3SE +/- 0.57, N = 3SE +/- 0.34, N = 3SE +/- 0.32, N = 3SE +/- 0.52, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 358.8553.2253.0852.9352.7052.6345.8338.751. (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 RealtimeRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD 5950XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT1224364860Min: 58.72 / Avg: 58.85 / Max: 59.07Min: 52.16 / Avg: 53.22 / Max: 54.29Min: 52.08 / Avg: 53.08 / Max: 54.06Min: 52.38 / Avg: 52.93 / Max: 53.56Min: 52.08 / Avg: 52.7 / Max: 53.13Min: 51.77 / Avg: 52.63 / Max: 53.57Min: 45.52 / Avg: 45.83 / Max: 46.24Min: 38.59 / Avg: 38.75 / Max: 38.851. (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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XT510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 314.9915.8415.9316.2316.2516.3616.6122.70MIN: 14.91MIN: 15.44MIN: 15.49MIN: 15.68MIN: 15.69MIN: 15.86MIN: 15.86MIN: 22.091. (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 i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XT510152025Min: 14.98 / Avg: 14.99 / Max: 15Min: 15.81 / Avg: 15.84 / Max: 15.9Min: 15.87 / Avg: 15.93 / Max: 16Min: 16.2 / Avg: 16.23 / Max: 16.25Min: 16.23 / Avg: 16.25 / Max: 16.28Min: 16.34 / Avg: 16.36 / Max: 16.37Min: 16.52 / Avg: 16.61 / Max: 16.68Min: 22.69 / Avg: 22.7 / Max: 22.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 4096AMD 5900XAMD 5950XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 26002K4K6K8K10KSE +/- 24.43, N = 3SE +/- 57.50, N = 3SE +/- 27.30, N = 3SE +/- 120.39, N = 4SE +/- 97.26, N = 3SE +/- 12.27, N = 3SE +/- 9.72, N = 3SE +/- 6.36, N = 3SE +/- 26.63, N = 3SE +/- 8.13, N = 38191.58164.18101.98096.48061.07978.36680.26430.35643.55438.11. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 4096AMD 5900XAMD 5950XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 260014002800420056007000Min: 8143.1 / Avg: 8191.47 / Max: 8221.7Min: 8053 / Avg: 8164.13 / Max: 8245.3Min: 8071 / Avg: 8101.87 / Max: 8156.3Min: 7736.8 / Avg: 8096.35 / Max: 8242.7Min: 7919.9 / Avg: 8060.97 / Max: 8247.5Min: 7959.6 / Avg: 7978.27 / Max: 8001.4Min: 6661.4 / Avg: 6680.23 / Max: 6693.8Min: 6423.3 / Avg: 6430.3 / Max: 6443Min: 5610.5 / Avg: 5643.5 / Max: 5696.2Min: 5421.8 / Avg: 5438.07 / Max: 5446.31. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -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 DynamicsAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 2600510152025SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 312.7112.7212.8413.0513.0513.0515.2117.0918.1019.08
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600KRyzen 5 2600XRyzen 5 2600510152025Min: 12.56 / Avg: 12.71 / Max: 12.82Min: 12.54 / Avg: 12.72 / Max: 12.99Min: 12.61 / Avg: 12.84 / Max: 12.97Min: 12.99 / Avg: 13.05 / Max: 13.09Min: 12.87 / Avg: 13.05 / Max: 13.25Min: 12.79 / Avg: 13.05 / Max: 13.26Min: 15.07 / Avg: 15.2 / Max: 15.38Min: 16.93 / Avg: 17.09 / Max: 17.18Min: 17.85 / Avg: 18.09 / Max: 18.47Min: 18.97 / Avg: 19.08 / Max: 19.21

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallRyzen 5 2600XRyzen 5 2600Core i5 10600KAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950X13002600390052006500SE +/- 1.42, N = 3SE +/- 7.80, N = 3SE +/- 1.08, N = 3SE +/- 13.60, N = 3SE +/- 12.89, N = 3SE +/- 6.52, N = 3SE +/- 0.46, N = 3SE +/- 8.02, N = 3SE +/- 7.43, N = 3SE +/- 8.22, N = 35973.245953.895711.024300.334295.154248.644072.124027.624027.314024.581. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallRyzen 5 2600XRyzen 5 2600Core i5 10600KAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950X10002000300040005000Min: 5970.44 / Avg: 5973.24 / Max: 5975.05Min: 5941.27 / Avg: 5953.89 / Max: 5968.15Min: 5708.87 / Avg: 5711.02 / Max: 5712.28Min: 4273.15 / Avg: 4300.33 / Max: 4314.67Min: 4269.6 / Avg: 4295.15 / Max: 4310.88Min: 4242.11 / Avg: 4248.64 / Max: 4261.67Min: 4071.2 / Avg: 4072.12 / Max: 4072.61Min: 4011.61 / Avg: 4027.62 / Max: 4036.32Min: 4012.5 / Avg: 4027.31 / Max: 4035.66Min: 4008.15 / Avg: 4024.58 / Max: 4033.091. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1AMD 5950XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.058, N = 3SE +/- 0.060, N = 3SE +/- 0.007, N = 3SE +/- 0.030, N = 3SE +/- 0.039, N = 3SE +/- 0.060, N = 3SE +/- 0.045, N = 3SE +/- 0.008, N = 37.1107.1447.1617.2137.2217.3318.16410.545
OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1AMD 5950XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 7 / Avg: 7.11 / Max: 7.19Min: 7.08 / Avg: 7.14 / Max: 7.26Min: 7.15 / Avg: 7.16 / Max: 7.18Min: 7.16 / Avg: 7.21 / Max: 7.26Min: 7.15 / Avg: 7.22 / Max: 7.28Min: 7.26 / Avg: 7.33 / Max: 7.45Min: 8.11 / Avg: 8.16 / Max: 8.25Min: 10.53 / Avg: 10.55 / Max: 10.56

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K1224364860SE +/- 0.13, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.20, N = 3SE +/- 0.29, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 355.0754.7354.4154.2954.2054.0341.9137.141. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K1122334455Min: 54.83 / Avg: 55.07 / Max: 55.27Min: 54.3 / Avg: 54.73 / Max: 55.14Min: 54.32 / Avg: 54.41 / Max: 54.53Min: 54.01 / Avg: 54.29 / Max: 54.58Min: 53.84 / Avg: 54.2 / Max: 54.51Min: 53.66 / Avg: 54.03 / Max: 54.6Min: 41.81 / Avg: 41.91 / Max: 42.06Min: 37.05 / Avg: 37.14 / Max: 37.251. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Inkscape

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

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT612182430SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 316.3218.5318.5418.5518.5518.7520.8724.201. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT612182430Min: 16.26 / Avg: 16.32 / Max: 16.39Min: 18.36 / Avg: 18.53 / Max: 18.7Min: 18.44 / Avg: 18.54 / Max: 18.61Min: 18.38 / Avg: 18.55 / Max: 18.66Min: 18.4 / Avg: 18.55 / Max: 18.74Min: 18.62 / Avg: 18.75 / Max: 18.91Min: 20.8 / Avg: 20.87 / Max: 20.96Min: 24.13 / Avg: 24.2 / Max: 24.331. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

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: SerialAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K130260390520650416.58423.43425.02430.74431.36435.40531.10610.55

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGRyzen 9 5900XCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XT612182430SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 316.9220.6523.1923.2623.3323.4823.5124.791. rsvg-convert version 2.48.7
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGRyzen 9 5900XCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XT612182430Min: 16.8 / Avg: 16.92 / Max: 17.02Min: 20.52 / Avg: 20.65 / Max: 20.87Min: 22.88 / Avg: 23.19 / Max: 23.46Min: 22.99 / Avg: 23.26 / Max: 23.49Min: 23.24 / Avg: 23.33 / Max: 23.51Min: 23.26 / Avg: 23.48 / Max: 23.65Min: 23.47 / Avg: 23.51 / Max: 23.6Min: 24.68 / Avg: 24.78 / Max: 24.861. rsvg-convert version 2.48.7

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 2020-06-28AMD Ryzen 9 5900XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K510152025SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 315.3015.3315.3315.3715.4615.5517.3622.351. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28AMD Ryzen 9 5900XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K510152025Min: 15.01 / Avg: 15.3 / Max: 15.61Min: 14.94 / Avg: 15.33 / Max: 15.62Min: 15.07 / Avg: 15.33 / Max: 15.55Min: 15.23 / Avg: 15.37 / Max: 15.46Min: 15.35 / Avg: 15.46 / Max: 15.56Min: 15.35 / Avg: 15.55 / Max: 15.68Min: 17.16 / Avg: 17.36 / Max: 17.49Min: 22.33 / Avg: 22.35 / Max: 22.361. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810SE +/- 0.012, N = 3SE +/- 0.026, N = 3SE +/- 0.009, N = 3SE +/- 0.028, N = 3SE +/- 0.022, N = 3SE +/- 0.006, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 35.2005.2315.2655.2835.3045.4176.9557.5901. (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 0Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 5.18 / Avg: 5.2 / Max: 5.22Min: 5.18 / Avg: 5.23 / Max: 5.26Min: 5.25 / Avg: 5.27 / Max: 5.28Min: 5.25 / Avg: 5.28 / Max: 5.34Min: 5.26 / Avg: 5.3 / Max: 5.34Min: 5.41 / Avg: 5.42 / Max: 5.43Min: 6.94 / Avg: 6.96 / Max: 6.98Min: 7.59 / Avg: 7.59 / Max: 7.591. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K246810SE +/- 0.066, N = 3SE +/- 0.084, N = 3SE +/- 0.054, N = 3SE +/- 0.040, N = 3SE +/- 0.056, N = 3SE +/- 0.064, N = 3SE +/- 0.046, N = 3SE +/- 0.079, N = 35.4096.3016.3216.3546.3696.3887.6377.877
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 5.34 / Avg: 5.41 / Max: 5.54Min: 6.19 / Avg: 6.3 / Max: 6.46Min: 6.22 / Avg: 6.32 / Max: 6.41Min: 6.3 / Avg: 6.35 / Max: 6.43Min: 6.31 / Avg: 6.37 / Max: 6.48Min: 6.3 / Avg: 6.39 / Max: 6.51Min: 7.58 / Avg: 7.64 / Max: 7.73Min: 7.79 / Avg: 7.88 / Max: 8.04

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: u8s8f32 - Engine: CPUCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XT510152025SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 313.7417.1317.3317.6417.6917.8918.3819.88MIN: 13.32MIN: 16.77MIN: 16.98MIN: 17.44MIN: 17.44MIN: 17.62MIN: 17.17MIN: 19.551. (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: u8s8f32 - Engine: CPUCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XT510152025Min: 13.67 / Avg: 13.74 / Max: 13.81Min: 17.11 / Avg: 17.13 / Max: 17.15Min: 17.28 / Avg: 17.33 / Max: 17.38Min: 17.61 / Avg: 17.64 / Max: 17.68Min: 17.66 / Avg: 17.69 / Max: 17.71Min: 17.86 / Avg: 17.89 / Max: 17.91Min: 18.23 / Avg: 18.38 / Max: 18.5Min: 19.84 / Avg: 19.88 / Max: 19.941. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 ParallelAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K4080120160200134.08134.14135.94136.52136.62136.69168.70193.68

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-v3AMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K918273645SE +/- 0.09, N = 3SE +/- 0.16, N = 15SE +/- 0.17, N = 15SE +/- 0.19, N = 15SE +/- 0.35, N = 5SE +/- 0.47, N = 3SE +/- 0.50, N = 3SE +/- 0.02, N = 326.8726.9727.3027.5827.6527.7532.6538.68MIN: 26.58 / MAX: 38.89MIN: 26.02 / MAX: 39.93MIN: 26.09 / MAX: 40.29MIN: 26.68 / MAX: 39.91MIN: 26.23 / MAX: 38.2MIN: 26.86 / MAX: 38.18MIN: 31.57 / MAX: 44.63MIN: 38.57 / MAX: 51.691. (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-v3AMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K816243240Min: 26.75 / Avg: 26.87 / Max: 27.05Min: 26.31 / Avg: 26.97 / Max: 28.15Min: 26.22 / Avg: 27.3 / Max: 28.4Min: 26.94 / Avg: 27.58 / Max: 29.03Min: 26.62 / Avg: 27.65 / Max: 28.57Min: 27.19 / Avg: 27.75 / Max: 28.68Min: 31.73 / Avg: 32.65 / Max: 33.44Min: 38.65 / Avg: 38.68 / Max: 38.711. (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

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-onlyRyzen 7 3800XTCore i5 10600KRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950X1.29492.58983.88475.17966.4745SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.007, N = 3SE +/- 0.028, N = 34.0184.3045.5705.5785.5955.7265.7435.755
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyRyzen 7 3800XTCore i5 10600KRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950X246810Min: 4.01 / Avg: 4.02 / Max: 4.02Min: 4.3 / Avg: 4.3 / Max: 4.31Min: 5.56 / Avg: 5.57 / Max: 5.58Min: 5.57 / Avg: 5.58 / Max: 5.59Min: 5.59 / Avg: 5.59 / Max: 5.6Min: 5.71 / Avg: 5.73 / Max: 5.74Min: 5.73 / Avg: 5.74 / Max: 5.75Min: 5.72 / Avg: 5.76 / Max: 5.81

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: ETC1SAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K1224364860SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.27, N = 3SE +/- 0.32, N = 3SE +/- 0.25, N = 3SE +/- 0.24, N = 3SE +/- 0.23, N = 336.5736.6436.6537.3637.5737.6245.9452.181. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K1020304050Min: 36.5 / Avg: 36.57 / Max: 36.69Min: 36.43 / Avg: 36.64 / Max: 36.85Min: 36.53 / Avg: 36.65 / Max: 36.79Min: 36.85 / Avg: 37.36 / Max: 37.75Min: 36.95 / Avg: 37.57 / Max: 37.99Min: 37.12 / Avg: 37.62 / Max: 37.89Min: 45.45 / Avg: 45.94 / Max: 46.2Min: 51.81 / Avg: 52.18 / Max: 52.621. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -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: IP Batch All - Data Type: f32 - Engine: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K1428425670SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 345.2645.4345.5547.4747.4849.3363.6164.28MIN: 44.47MIN: 44.52MIN: 44.62MIN: 46.81MIN: 46.85MIN: 47.45MIN: 62.5MIN: 62.741. (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: CPURyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K1326395265Min: 45.08 / Avg: 45.26 / Max: 45.38Min: 45.14 / Avg: 45.43 / Max: 45.68Min: 45.44 / Avg: 45.55 / Max: 45.69Min: 47.34 / Avg: 47.47 / Max: 47.56Min: 47.32 / Avg: 47.48 / Max: 47.62Min: 49.08 / Avg: 49.33 / Max: 49.61Min: 63.55 / Avg: 63.61 / Max: 63.7Min: 64.26 / Avg: 64.28 / Max: 64.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassRyzen 9 5950XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K0.0990.1980.2970.3960.495SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.440.430.430.430.430.420.330.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassRyzen 9 5950XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K12345Min: 0.44 / Avg: 0.44 / Max: 0.44Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.42 / Avg: 0.43 / Max: 0.44Min: 0.43 / Avg: 0.43 / Max: 0.44Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.42 / Avg: 0.42 / Max: 0.43Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.31 / Avg: 0.31 / Max: 0.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 35.025.035.115.225.265.296.837.06MIN: 4.93 / MAX: 6.47MIN: 4.97 / MAX: 6.11MIN: 4.98 / MAX: 14.26MIN: 5.16 / MAX: 6.29MIN: 5.2 / MAX: 6.53MIN: 5.2 / MAX: 28.09MIN: 6.76 / MAX: 6.94MIN: 6.91 / MAX: 8.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT3691215Min: 4.97 / Avg: 5.02 / Max: 5.08Min: 5 / Avg: 5.03 / Max: 5.07Min: 5.05 / Avg: 5.11 / Max: 5.19Min: 5.19 / Avg: 5.22 / Max: 5.26Min: 5.25 / Avg: 5.26 / Max: 5.26Min: 5.22 / Avg: 5.29 / Max: 5.41Min: 6.79 / Avg: 6.83 / Max: 6.89Min: 6.99 / Avg: 7.06 / Max: 7.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XCore i5 10600K0.16430.32860.49290.65720.8215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.520.530.530.550.580.580.580.731. (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: CPURyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XCore i5 10600K246810Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.52 / Avg: 0.53 / Max: 0.53Min: 0.52 / Avg: 0.53 / Max: 0.53Min: 0.54 / Avg: 0.55 / Max: 0.55Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.73 / Avg: 0.73 / Max: 0.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 HydrodynamicsAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XCore i5 10600KRyzen 9 5900XRyzen 5 2600XRyzen 5 2600Ryzen 7 3800XT1.17452.3493.52354.6985.8725SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.733.793.863.873.903.974.194.594.715.221. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XCore i5 10600KRyzen 9 5900XRyzen 5 2600XRyzen 5 2600Ryzen 7 3800XT246810Min: 3.72 / Avg: 3.73 / Max: 3.73Min: 3.78 / Avg: 3.79 / Max: 3.82Min: 3.85 / Avg: 3.86 / Max: 3.88Min: 3.86 / Avg: 3.87 / Max: 3.88Min: 3.89 / Avg: 3.9 / Max: 3.92Min: 3.96 / Avg: 3.97 / Max: 3.98Min: 4.14 / Avg: 4.19 / Max: 4.25Min: 4.58 / Avg: 4.59 / Max: 4.59Min: 4.71 / Avg: 4.71 / Max: 4.72Min: 5.21 / Avg: 5.22 / Max: 5.231. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 0 - Input: 1080pAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT0.03740.07480.11220.14960.187SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1660.1650.1640.1620.1610.1610.1300.1191. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT12345Min: 0.16 / Avg: 0.17 / Max: 0.17Min: 0.16 / Avg: 0.17 / Max: 0.17Min: 0.16 / Avg: 0.16 / Max: 0.17Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.121. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5900XRyzen 9 5950XAMD 5900XRyzen 7 3800XTCore i5 10600K510152025SE +/- 0.22, N = 3SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 316.2016.2916.3116.3516.3716.3818.1622.44
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5900XRyzen 9 5950XAMD 5900XRyzen 7 3800XTCore i5 10600K510152025Min: 15.79 / Avg: 16.2 / Max: 16.52Min: 16.09 / Avg: 16.29 / Max: 16.66Min: 16.28 / Avg: 16.31 / Max: 16.33Min: 16.15 / Avg: 16.35 / Max: 16.45Min: 16.25 / Avg: 16.37 / Max: 16.48Min: 16.09 / Avg: 16.38 / Max: 16.62Min: 17.94 / Avg: 18.16 / Max: 18.51Min: 22.37 / Avg: 22.44 / Max: 22.48

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-v2AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT1.26452.5293.79355.0586.3225SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 34.094.124.174.364.384.395.325.62MIN: 4.02 / MAX: 5.06MIN: 4.06 / MAX: 5.05MIN: 4.08 / MAX: 5.17MIN: 4.3 / MAX: 4.53MIN: 4.29 / MAX: 5.24MIN: 4.31 / MAX: 5.44MIN: 5.17 / MAX: 5.48MIN: 5.45 / MAX: 16.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT246810Min: 4.08 / Avg: 4.09 / Max: 4.11Min: 4.11 / Avg: 4.12 / Max: 4.14Min: 4.12 / Avg: 4.17 / Max: 4.23Min: 4.35 / Avg: 4.36 / Max: 4.37Min: 4.36 / Avg: 4.38 / Max: 4.4Min: 4.38 / Avg: 4.39 / Max: 4.39Min: 5.29 / Avg: 5.32 / Max: 5.35Min: 5.52 / Avg: 5.62 / Max: 5.71. (CXX) g++ options: -O3 -rdynamic -lgomp -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: FastAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K1.28482.56963.85445.13926.424SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 34.194.224.254.354.364.435.475.711. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 4.16 / Avg: 4.19 / Max: 4.24Min: 4.19 / Avg: 4.22 / Max: 4.26Min: 4.22 / Avg: 4.25 / Max: 4.28Min: 4.32 / Avg: 4.35 / Max: 4.36Min: 4.33 / Avg: 4.36 / Max: 4.39Min: 4.39 / Avg: 4.43 / Max: 4.47Min: 5.38 / Avg: 5.47 / Max: 5.53Min: 5.7 / Avg: 5.71 / Max: 5.721. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K140280420560700SE +/- 0.33, N = 3SE +/- 0.64, N = 3SE +/- 0.68, N = 3SE +/- 1.13, N = 3SE +/- 0.38, N = 3SE +/- 0.40, N = 3SE +/- 1.12, N = 3SE +/- 0.22, N = 3464.40466.27466.66471.16473.48475.14595.08632.631. (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 2 + RDO Post-ProcessingAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K110220330440550Min: 463.78 / Avg: 464.4 / Max: 464.92Min: 465 / Avg: 466.27 / Max: 467Min: 465.34 / Avg: 466.66 / Max: 467.56Min: 469.49 / Avg: 471.16 / Max: 473.32Min: 472.81 / Avg: 473.48 / Max: 474.13Min: 474.35 / Avg: 475.14 / Max: 475.6Min: 593.64 / Avg: 595.08 / Max: 597.28Min: 632.22 / Avg: 632.63 / Max: 632.971. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 TimesRyzen 9 5900XRyzen 7 3800XTCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950X306090120150SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.40, N = 3SE +/- 0.50, N = 3SE +/- 0.35, N = 3SE +/- 0.05, N = 3SE +/- 0.61, N = 3SE +/- 0.15, N = 384.6987.6989.26112.12113.08113.83114.75115.201. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesRyzen 9 5900XRyzen 7 3800XTCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950X20406080100Min: 84.5 / Avg: 84.69 / Max: 84.83Min: 87.56 / Avg: 87.69 / Max: 87.78Min: 88.68 / Avg: 89.26 / Max: 90.04Min: 111.39 / Avg: 112.12 / Max: 113.08Min: 112.43 / Avg: 113.08 / Max: 113.61Min: 113.73 / Avg: 113.83 / Max: 113.9Min: 113.55 / Avg: 114.75 / Max: 115.55Min: 114.9 / Avg: 115.2 / Max: 115.351. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XCore i5 10600K0.1620.3240.4860.6480.81SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.530.540.540.550.580.580.580.721. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XCore i5 10600K246810Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.53 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.55 / Avg: 0.55 / Max: 0.56Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.71 / Avg: 0.72 / Max: 0.721. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XCore i5 10600KRyzen 7 3800XT816243240SE +/- 0.32, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 335.8930.6830.5730.0729.9829.9028.6326.461. (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 5Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XCore i5 10600KRyzen 7 3800XT816243240Min: 35.36 / Avg: 35.89 / Max: 36.47Min: 30.46 / Avg: 30.68 / Max: 30.88Min: 30.24 / Avg: 30.57 / Max: 30.78Min: 29.79 / Avg: 30.07 / Max: 30.47Min: 29.81 / Avg: 29.98 / Max: 30.27Min: 29.67 / Avg: 29.9 / Max: 30.17Min: 28.57 / Avg: 28.63 / Max: 28.69Min: 26.3 / Avg: 26.46 / Max: 26.751. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5950XCore i5 10600KRyzen 7 3800XT2004006008001000SE +/- 3.33, N = 3SE +/- 10.02, N = 3SE +/- 0.58, N = 3SE +/- 6.44, N = 3SE +/- 6.00, N = 3SE +/- 0.33, N = 3SE +/- 5.24, N = 310311028102710239979719647611. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5900XAMD 5950XCore i5 10600KRyzen 7 3800XT2004006008001000Min: 1021 / Avg: 1027.67 / Max: 1031Min: 1016 / Avg: 1027 / Max: 1047Min: 1022 / Avg: 1023 / Max: 1024Min: 989 / Avg: 997.33 / Max: 1010Min: 959 / Avg: 971 / Max: 977Min: 963 / Avg: 963.67 / Max: 964Min: 754 / Avg: 760.67 / Max: 7711. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K0.79651.5932.38953.1863.9825SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.543.403.393.393.373.372.702.621. (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-PassRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 3.52 / Avg: 3.54 / Max: 3.56Min: 3.38 / Avg: 3.4 / Max: 3.44Min: 3.36 / Avg: 3.39 / Max: 3.42Min: 3.34 / Avg: 3.39 / Max: 3.42Min: 3.36 / Avg: 3.37 / Max: 3.38Min: 3.35 / Avg: 3.37 / Max: 3.39Min: 2.68 / Avg: 2.7 / Max: 2.73Min: 2.61 / Avg: 2.62 / Max: 2.631. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1AMD 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K60120180240300SE +/- 0.23, N = 3SE +/- 1.90, N = 3SE +/- 0.75, N = 3SE +/- 0.42, N = 3SE +/- 0.29, N = 3SE +/- 0.65, N = 3SE +/- 2.90, N = 3SE +/- 0.04, N = 3206.23210.02212.68213.04213.31215.37230.34278.17MIN: 205.74 / MAX: 206.98MIN: 205.98 / MAX: 212.84MIN: 211.05 / MAX: 213.81MIN: 212.12 / MAX: 214.88MIN: 212.7 / MAX: 214.73MIN: 214.27 / MAX: 216.83MIN: 223.27 / MAX: 236.05MIN: 277.99 / MAX: 278.431. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1AMD 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K50100150200250Min: 205.93 / Avg: 206.23 / Max: 206.67Min: 206.25 / Avg: 210.02 / Max: 212.28Min: 211.18 / Avg: 212.68 / Max: 213.5Min: 212.32 / Avg: 213.04 / Max: 213.76Min: 212.88 / Avg: 213.31 / Max: 213.87Min: 214.44 / Avg: 215.37 / Max: 216.62Min: 224.72 / Avg: 230.34 / Max: 234.38Min: 278.08 / Avg: 278.17 / Max: 278.241. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 9 5900XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1428425670SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 345.2846.1446.1546.2946.3146.4457.9560.941. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 9 5900XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1224364860Min: 45.18 / Avg: 45.28 / Max: 45.37Min: 46.05 / Avg: 46.14 / Max: 46.2Min: 46.12 / Avg: 46.15 / Max: 46.18Min: 46.25 / Avg: 46.29 / Max: 46.36Min: 46.21 / Avg: 46.31 / Max: 46.4Min: 46.36 / Avg: 46.44 / Max: 46.51Min: 57.92 / Avg: 57.95 / Max: 57.98Min: 60.93 / Avg: 60.94 / Max: 60.961. RawTherapee, version 5.8, command line.

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K510152025SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 315.9817.0317.0817.1617.4217.4921.1421.43
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K510152025Min: 15.87 / Avg: 15.98 / Max: 16.06Min: 17 / Avg: 17.03 / Max: 17.08Min: 17.02 / Avg: 17.08 / Max: 17.16Min: 17.1 / Avg: 17.16 / Max: 17.26Min: 17.33 / Avg: 17.42 / Max: 17.55Min: 17.47 / Avg: 17.49 / Max: 17.5Min: 21.14 / Avg: 21.14 / Max: 21.15Min: 21.3 / Avg: 21.43 / Max: 21.57

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 BenchmarkAMD 5950XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K120240360480600SE +/- 2.08, N = 3SE +/- 4.47, N = 3SE +/- 0.89, N = 3SE +/- 2.84, N = 3SE +/- 6.72, N = 3SE +/- 6.34, N = 3SE +/- 3.93, N = 3SE +/- 0.40, N = 3556.02552.07551.99550.80547.80540.68432.84414.85
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkAMD 5950XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K100200300400500Min: 553.11 / Avg: 556.02 / Max: 560.04Min: 543.63 / Avg: 552.07 / Max: 558.86Min: 550.21 / Avg: 551.99 / Max: 552.91Min: 547.61 / Avg: 550.8 / Max: 556.47Min: 535.08 / Avg: 547.8 / Max: 557.92Min: 528.58 / Avg: 540.68 / Max: 550Min: 424.99 / Avg: 432.84 / Max: 437.2Min: 414.13 / Avg: 414.85 / Max: 415.52

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K1.24432.48863.73294.97726.2215SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.535.325.305.295.275.274.194.151. (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-PassRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 5.46 / Avg: 5.53 / Max: 5.58Min: 5.29 / Avg: 5.32 / Max: 5.36Min: 5.29 / Avg: 5.3 / Max: 5.31Min: 5.26 / Avg: 5.29 / Max: 5.32Min: 5.23 / Avg: 5.27 / Max: 5.29Min: 5.21 / Avg: 5.27 / Max: 5.34Min: 4.18 / Avg: 4.19 / Max: 4.22Min: 4.11 / Avg: 4.15 / Max: 4.181. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 MP3AMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810SE +/- 0.037, N = 3SE +/- 0.076, N = 3SE +/- 0.036, N = 3SE +/- 0.008, N = 3SE +/- 0.015, N = 3SE +/- 0.028, N = 3SE +/- 0.065, N = 3SE +/- 0.004, N = 35.5535.5675.5745.5995.6135.6376.6987.3851. (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 MP3AMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 5.49 / Avg: 5.55 / Max: 5.61Min: 5.42 / Avg: 5.57 / Max: 5.66Min: 5.5 / Avg: 5.57 / Max: 5.62Min: 5.59 / Avg: 5.6 / Max: 5.62Min: 5.59 / Avg: 5.61 / Max: 5.64Min: 5.58 / Avg: 5.64 / Max: 5.68Min: 6.58 / Avg: 6.7 / Max: 6.81Min: 7.38 / Avg: 7.39 / Max: 7.391. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2AMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K60120180240300SE +/- 1.09, N = 3SE +/- 1.26, N = 3SE +/- 1.70, N = 3SE +/- 2.33, N = 3SE +/- 0.27, N = 3SE +/- 0.49, N = 3SE +/- 1.22, N = 3SE +/- 0.58, N = 3223.63225.80227.02227.13229.78230.58247.15295.63MIN: 221.23 / MAX: 228.21MIN: 222.45 / MAX: 235.3MIN: 222.87 / MAX: 269.91MIN: 221.63 / MAX: 242.93MIN: 224.25 / MAX: 246.63MIN: 229.51 / MAX: 235.65MIN: 239.73 / MAX: 268.72MIN: 294.42 / MAX: 297.031. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2AMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K50100150200250Min: 221.95 / Avg: 223.63 / Max: 225.66Min: 223.29 / Avg: 225.8 / Max: 227.12Min: 223.72 / Avg: 227.02 / Max: 229.35Min: 222.47 / Avg: 227.13 / Max: 229.47Min: 229.44 / Avg: 229.78 / Max: 230.31Min: 229.82 / Avg: 230.58 / Max: 231.49Min: 245.33 / Avg: 247.15 / Max: 249.47Min: 294.84 / Avg: 295.63 / Max: 296.761. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 SolverAMD 5900XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 7 3800XTAMD Ryzen 9 5900XCore i5 10600K12002400360048006000SE +/- 54.65, N = 3SE +/- 77.42, N = 15SE +/- 61.59, N = 15SE +/- 94.41, N = 12SE +/- 69.69, N = 15SE +/- 76.43, N = 4SE +/- 70.89, N = 3SE +/- 2.37, N = 35399.255312.925218.655197.825159.695140.615078.664117.181. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverAMD 5900XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 7 3800XTAMD Ryzen 9 5900XCore i5 10600K9001800270036004500Min: 5292.99 / Avg: 5399.25 / Max: 5474.56Min: 4804.48 / Avg: 5312.92 / Max: 5909.5Min: 4781.3 / Avg: 5218.65 / Max: 5618.86Min: 4735.09 / Avg: 5197.82 / Max: 5736.65Min: 4843.65 / Avg: 5159.69 / Max: 5740.24Min: 4976.46 / Avg: 5140.61 / Max: 5309.62Min: 4995.43 / Avg: 5078.66 / Max: 5219.69Min: 4114.34 / Avg: 4117.18 / Max: 4121.891. (CC) gcc options: -O3 -mavx2

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT714212835SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.27, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 321.5921.6021.7822.5222.6022.6827.8728.21MIN: 21.37 / MAX: 24.74MIN: 21.07 / MAX: 22.32MIN: 21.35 / MAX: 22.97MIN: 22.15 / MAX: 23.19MIN: 22.31 / MAX: 23.14MIN: 22.33 / MAX: 23.21MIN: 27.76 / MAX: 29.64MIN: 27.96 / MAX: 47.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT612182430Min: 21.55 / Avg: 21.59 / Max: 21.64Min: 21.26 / Avg: 21.6 / Max: 21.98Min: 21.48 / Avg: 21.78 / Max: 22.31Min: 22.46 / Avg: 22.52 / Max: 22.63Min: 22.52 / Avg: 22.6 / Max: 22.67Min: 22.54 / Avg: 22.68 / Max: 22.79Min: 27.83 / Avg: 27.87 / Max: 27.92Min: 28.13 / Avg: 28.21 / Max: 28.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT48121620SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 2SE +/- 0.09, N = 313.0413.1113.2114.5414.5514.5814.9117.03MIN: 12.85 / MAX: 26.12MIN: 12.93 / MAX: 22.21MIN: 12.98 / MAX: 13.59MIN: 14.43 / MAX: 14.67MIN: 14.43 / MAX: 15.2MIN: 14.47 / MAX: 15.32MIN: 14.83 / MAX: 15.59MIN: 16.77 / MAX: 21.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT48121620Min: 12.9 / Avg: 13.04 / Max: 13.11Min: 13.03 / Avg: 13.11 / Max: 13.22Min: 13.05 / Avg: 13.21 / Max: 13.48Min: 14.52 / Avg: 14.54 / Max: 14.55Min: 14.54 / Avg: 14.55 / Max: 14.55Min: 14.57 / Avg: 14.58 / Max: 14.59Min: 14.89 / Avg: 14.91 / Max: 14.92Min: 16.85 / Avg: 17.03 / Max: 17.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XTAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950X0.88581.77162.65743.54324.429SE +/- 0.017, N = 5SE +/- 0.018, N = 15SE +/- 0.017, N = 15SE +/- 0.004, N = 3SE +/- 0.032, N = 3SE +/- 0.037, N = 3SE +/- 0.098, N = 3SE +/- 0.030, N = 153.0213.0373.0513.4053.4133.8403.9293.937MIN: 2.89 / MAX: 3.86MIN: 2.81 / MAX: 15.24MIN: 2.87 / MAX: 5.06MIN: 3.33 / MAX: 4.91MIN: 3.34 / MAX: 14.62MIN: 3.75 / MAX: 4.47MIN: 3.77 / MAX: 4.75MIN: 3.72 / MAX: 16.561. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XTAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950X246810Min: 2.96 / Avg: 3.02 / Max: 3.05Min: 2.88 / Avg: 3.04 / Max: 3.14Min: 2.94 / Avg: 3.05 / Max: 3.16Min: 3.4 / Avg: 3.4 / Max: 3.41Min: 3.38 / Avg: 3.41 / Max: 3.48Min: 3.78 / Avg: 3.84 / Max: 3.9Min: 3.79 / Avg: 3.93 / Max: 4.12Min: 3.78 / Avg: 3.94 / Max: 4.111. (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: googlenetAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT48121620SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 312.5112.5512.6913.3913.4013.4815.0716.25MIN: 12.21 / MAX: 25.96MIN: 12.36 / MAX: 13.38MIN: 12.47 / MAX: 15.01MIN: 13.02 / MAX: 13.98MIN: 13.06 / MAX: 13.96MIN: 13.06 / MAX: 13.95MIN: 14.81 / MAX: 16MIN: 15.91 / MAX: 17.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT48121620Min: 12.42 / Avg: 12.51 / Max: 12.61Min: 12.49 / Avg: 12.55 / Max: 12.58Min: 12.56 / Avg: 12.69 / Max: 12.92Min: 13.39 / Avg: 13.39 / Max: 13.4Min: 13.37 / Avg: 13.4 / Max: 13.43Min: 13.38 / Avg: 13.48 / Max: 13.6Min: 14.91 / Avg: 15.07 / Max: 15.26Min: 16.02 / Avg: 16.25 / Max: 16.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ryzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5950XAMD 5900XRyzen 7 3800XTCore i5 10600K1.23442.46883.70324.93766.172SE +/- 0.013, N = 3SE +/- 0.027, N = 3SE +/- 0.020, N = 3SE +/- 0.043, N = 3SE +/- 0.006, N = 3SE +/- 0.030, N = 3SE +/- 0.021, N = 3SE +/- 0.017, N = 34.2304.2684.2774.2984.3064.3294.7495.4861. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ryzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5950XAMD 5900XRyzen 7 3800XTCore i5 10600K246810Min: 4.21 / Avg: 4.23 / Max: 4.25Min: 4.21 / Avg: 4.27 / Max: 4.3Min: 4.25 / Avg: 4.28 / Max: 4.32Min: 4.21 / Avg: 4.3 / Max: 4.36Min: 4.3 / Avg: 4.31 / Max: 4.32Min: 4.28 / Avg: 4.33 / Max: 4.38Min: 4.71 / Avg: 4.75 / Max: 4.78Min: 5.46 / Avg: 5.49 / Max: 5.521. (CXX) g++ options: -O3 -fPIC

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.017, N = 3SE +/- 0.035, N = 3SE +/- 0.033, N = 3SE +/- 0.020, N = 3SE +/- 0.030, N = 3SE +/- 0.033, N = 3SE +/- 0.019, N = 3SE +/- 0.007, N = 38.3819.3139.3569.3659.3939.40010.80810.859
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K3691215Min: 8.36 / Avg: 8.38 / Max: 8.42Min: 9.27 / Avg: 9.31 / Max: 9.38Min: 9.29 / Avg: 9.36 / Max: 9.4Min: 9.33 / Avg: 9.37 / Max: 9.39Min: 9.36 / Avg: 9.39 / Max: 9.45Min: 9.34 / Avg: 9.4 / Max: 9.45Min: 10.79 / Avg: 10.81 / Max: 10.85Min: 10.85 / Avg: 10.86 / Max: 10.87

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 2.0.2AMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K60120180240300SE +/- 1.96, N = 3SE +/- 1.13, N = 3SE +/- 4.27, N = 3SE +/- 1.48, N = 3SE +/- 1.88, N = 3SE +/- 0.05, N = 3SE +/- 0.30, N = 3SE +/- 0.45, N = 3289.24286.10284.35281.85281.47278.93228.19223.30-lm1. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2AMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K50100150200250Min: 285.34 / Avg: 289.24 / Max: 291.48Min: 283.92 / Avg: 286.1 / Max: 287.73Min: 278.99 / Avg: 284.35 / Max: 292.79Min: 279.98 / Avg: 281.85 / Max: 284.76Min: 277.75 / Avg: 281.47 / Max: 283.77Min: 278.83 / Avg: 278.93 / Max: 279Min: 227.69 / Avg: 228.19 / Max: 228.71Min: 222.4 / Avg: 223.3 / Max: 223.861. (CC) gcc options: -O3 -rdynamic

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT48121620SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 312.6412.7212.8913.1813.2213.2616.1816.37MIN: 12.34 / MAX: 15.69MIN: 12.33 / MAX: 13.58MIN: 12.51 / MAX: 13.51MIN: 12.73 / MAX: 14.58MIN: 12.92 / MAX: 18.13MIN: 12.94 / MAX: 13.72MIN: 16.07 / MAX: 26.32MIN: 16.14 / MAX: 16.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT48121620Min: 12.54 / Avg: 12.64 / Max: 12.69Min: 12.49 / Avg: 12.72 / Max: 12.88Min: 12.73 / Avg: 12.89 / Max: 13.2Min: 12.96 / Avg: 13.18 / Max: 13.33Min: 13.15 / Avg: 13.22 / Max: 13.3Min: 13.22 / Avg: 13.26 / Max: 13.31Min: 16.12 / Avg: 16.18 / Max: 16.24Min: 16.26 / Avg: 16.37 / Max: 16.451. (CXX) g++ options: -O3 -rdynamic -lgomp -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 SynthesisRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430SE +/- 0.19, N = 4SE +/- 0.04, N = 4SE +/- 0.20, N = 4SE +/- 0.24, N = 4SE +/- 0.07, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 420.8820.9821.0221.0421.4221.5426.5626.941. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K612182430Min: 20.55 / Avg: 20.88 / Max: 21.34Min: 20.89 / Avg: 20.98 / Max: 21.09Min: 20.66 / Avg: 21.02 / Max: 21.59Min: 20.35 / Avg: 21.04 / Max: 21.43Min: 21.23 / Avg: 21.42 / Max: 21.53Min: 21.5 / Avg: 21.54 / Max: 21.64Min: 26.51 / Avg: 26.56 / Max: 26.66Min: 26.9 / Avg: 26.94 / Max: 26.961. (CC) gcc options: -O2 -std=c99

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRyzen 9 5950XRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K1020304050SE +/- 0.38, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.37, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 3SE +/- 0.72, N = 3SE +/- 0.11, N = 334.8435.1635.2035.2235.5335.9343.7044.89
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRyzen 9 5950XRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTCore i5 10600K918273645Min: 34.36 / Avg: 34.84 / Max: 35.59Min: 34.92 / Avg: 35.15 / Max: 35.28Min: 35.08 / Avg: 35.19 / Max: 35.31Min: 34.47 / Avg: 35.22 / Max: 35.64Min: 35.28 / Avg: 35.53 / Max: 36Min: 35.46 / Avg: 35.93 / Max: 36.19Min: 42.85 / Avg: 43.7 / Max: 45.14Min: 44.69 / Avg: 44.89 / Max: 45.05

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURyzen 7 3800XTAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XCore i5 10600KAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950X7001400210028003500SE +/- 2.90, N = 3SE +/- 5.47, N = 3SE +/- 5.02, N = 3SE +/- 52.37, N = 3SE +/- 8.52, N = 3SE +/- 23.96, N = 3SE +/- 26.56, N = 3SE +/- 32.49, N = 32536.982631.262637.792681.803056.583187.543207.223228.371. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURyzen 7 3800XTAMD Ryzen 9 5900XRyzen 9 5900XAMD 5900XCore i5 10600KAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950X6001200180024003000Min: 2532.27 / Avg: 2536.98 / Max: 2542.26Min: 2622.06 / Avg: 2631.26 / Max: 2640.98Min: 2628.37 / Avg: 2637.79 / Max: 2645.5Min: 2619.21 / Avg: 2681.8 / Max: 2785.82Min: 3042.66 / Avg: 3056.58 / Max: 3072.06Min: 3152.9 / Avg: 3187.54 / Max: 3233.53Min: 3170.49 / Avg: 3207.22 / Max: 3258.81Min: 3173.68 / Avg: 3228.37 / Max: 3286.091. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Ryzen 9 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 7 3800XTCore i5 10600K3691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 310.009.499.499.489.489.457.997.861. (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 0Ryzen 9 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 9.92 / Avg: 10 / Max: 10.07Min: 9.48 / Avg: 9.49 / Max: 9.5Min: 9.47 / Avg: 9.49 / Max: 9.51Min: 9.45 / Avg: 9.48 / Max: 9.5Min: 9.45 / Avg: 9.48 / Max: 9.5Min: 9.39 / Avg: 9.45 / Max: 9.49Min: 7.97 / Avg: 7.99 / Max: 8.01Min: 7.81 / Avg: 7.86 / Max: 7.91. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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 SpaceRyzen 7 3800XTRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600K30060090012001500SE +/- 3.18, N = 3SE +/- 2.33, N = 3SE +/- 5.24, N = 3SE +/- 3.18, N = 3SE +/- 5.81, N = 3SE +/- 3.53, N = 3SE +/- 2.52, N = 312291107109010711064104310189671. (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 SpaceRyzen 7 3800XTRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XCore i5 10600K2004006008001000Min: 1103 / Avg: 1106.67 / Max: 1113Min: 1086 / Avg: 1090.33 / Max: 1094Min: 1064 / Avg: 1070.67 / Max: 1081Min: 1060 / Avg: 1063.67 / Max: 1070Min: 1034 / Avg: 1043.33 / Max: 1054Min: 1013 / Avg: 1018.33 / Max: 1025Min: 962 / Avg: 967 / Max: 9701. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaAMD Ryzen 9 5900XRyzen 7 3800XTRyzen 9 5900XAMD 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600K1428425670SE +/- 0.65, N = 3SE +/- 0.53, N = 15SE +/- 0.65, N = 3SE +/- 0.05, N = 3SE +/- 0.44, N = 3SE +/- 0.51, N = 3SE +/- 0.35, N = 3SE +/- 0.22, N = 347.7748.2948.3749.4449.8250.1950.8760.49
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaAMD Ryzen 9 5900XRyzen 7 3800XTRyzen 9 5900XAMD 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600K1224364860Min: 46.88 / Avg: 47.77 / Max: 49.05Min: 44.24 / Avg: 48.29 / Max: 51.27Min: 47.07 / Avg: 48.37 / Max: 49.06Min: 49.35 / Avg: 49.44 / Max: 49.5Min: 49.17 / Avg: 49.82 / Max: 50.66Min: 49.44 / Avg: 50.19 / Max: 51.15Min: 50.5 / Avg: 50.87 / Max: 51.57Min: 60.04 / Avg: 60.49 / Max: 60.73

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: 10AMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K1.16152.3233.48454.6465.8075SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.007, N = 3SE +/- 0.022, N = 3SE +/- 0.024, N = 3SE +/- 0.014, N = 3SE +/- 0.013, N = 3SE +/- 0.005, N = 34.0844.1244.1284.1314.1394.1534.4495.1621. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10AMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XRyzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K246810Min: 4.08 / Avg: 4.08 / Max: 4.09Min: 4.11 / Avg: 4.12 / Max: 4.14Min: 4.12 / Avg: 4.13 / Max: 4.14Min: 4.09 / Avg: 4.13 / Max: 4.16Min: 4.09 / Avg: 4.14 / Max: 4.16Min: 4.13 / Avg: 4.15 / Max: 4.18Min: 4.43 / Avg: 4.45 / Max: 4.47Min: 5.15 / Avg: 5.16 / Max: 5.171. (CXX) g++ options: -O3 -fPIC

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5950XAMD 5900XRyzen 7 3800XTCore i5 10600K48121620SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 312.2712.8412.8812.9012.9012.9314.7815.461. (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, LosslessAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5950XAMD 5900XRyzen 7 3800XTCore i5 10600K48121620Min: 12.26 / Avg: 12.27 / Max: 12.28Min: 12.77 / Avg: 12.84 / Max: 12.95Min: 12.67 / Avg: 12.88 / Max: 12.98Min: 12.81 / Avg: 12.89 / Max: 13Min: 12.82 / Avg: 12.9 / Max: 13.02Min: 12.62 / Avg: 12.93 / Max: 13.18Min: 14.58 / Avg: 14.78 / Max: 15.05Min: 15.45 / Avg: 15.46 / Max: 15.471. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K1.26322.52643.78965.05286.316SE +/- 0.005, N = 3SE +/- 0.017, N = 3SE +/- 0.017, N = 3SE +/- 0.017, N = 3SE +/- 0.029, N = 3SE +/- 0.021, N = 3SE +/- 0.014, N = 3SE +/- 0.021, N = 34.4664.5564.5694.6354.6404.6475.2305.614
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K246810Min: 4.46 / Avg: 4.47 / Max: 4.47Min: 4.53 / Avg: 4.56 / Max: 4.59Min: 4.55 / Avg: 4.57 / Max: 4.6Min: 4.6 / Avg: 4.64 / Max: 4.66Min: 4.58 / Avg: 4.64 / Max: 4.67Min: 4.61 / Avg: 4.65 / Max: 4.68Min: 5.21 / Avg: 5.23 / Max: 5.26Min: 5.58 / Avg: 5.61 / Max: 5.65

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT246810SE +/- 0.035, N = 5SE +/- 0.026, N = 5SE +/- 0.015, N = 5SE +/- 0.034, N = 5SE +/- 0.015, N = 5SE +/- 0.020, N = 5SE +/- 0.034, N = 5SE +/- 0.045, N = 55.2075.2075.2145.2345.2445.2526.1836.523
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT3691215Min: 5.07 / Avg: 5.21 / Max: 5.28Min: 5.15 / Avg: 5.21 / Max: 5.3Min: 5.17 / Avg: 5.21 / Max: 5.25Min: 5.15 / Avg: 5.23 / Max: 5.34Min: 5.22 / Avg: 5.24 / Max: 5.3Min: 5.18 / Avg: 5.25 / Max: 5.29Min: 6.14 / Avg: 6.18 / Max: 6.32Min: 6.36 / Avg: 6.52 / Max: 6.62

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-onlyRyzen 7 3800XTCore i5 10600KRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950X48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 311.4212.5712.9713.0013.0114.1214.1714.20
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyRyzen 7 3800XTCore i5 10600KRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950X48121620Min: 11.39 / Avg: 11.42 / Max: 11.44Min: 12.54 / Avg: 12.57 / Max: 12.61Min: 12.95 / Avg: 12.97 / Max: 12.99Min: 12.99 / Avg: 12.99 / Max: 13Min: 13 / Avg: 13.01 / Max: 13.02Min: 14.09 / Avg: 14.12 / Max: 14.18Min: 14.14 / Avg: 14.17 / Max: 14.21Min: 14.15 / Avg: 14.2 / Max: 14.24

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: mnasnetAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XCore i5 10600KRyzen 7 3800XT1.0352.073.1054.145.175SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 2SE +/- 0.03, N = 2SE +/- 0.07, N = 33.703.713.763.893.913.914.264.60MIN: 3.64 / MAX: 4.59MIN: 3.66 / MAX: 4.9MIN: 3.67 / MAX: 4.64MIN: 3.86 / MAX: 4.06MIN: 3.88 / MAX: 4.74MIN: 3.85 / MAX: 5.14MIN: 4.21 / MAX: 4.99MIN: 4.42 / MAX: 5.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XCore i5 10600KRyzen 7 3800XT246810Min: 3.68 / Avg: 3.7 / Max: 3.74Min: 3.7 / Avg: 3.71 / Max: 3.73Min: 3.72 / Avg: 3.76 / Max: 3.85Min: 3.88 / Avg: 3.89 / Max: 3.89Min: 3.91 / Avg: 3.91 / Max: 3.91Min: 3.9 / Avg: 3.91 / Max: 3.92Min: 4.23 / Avg: 4.26 / Max: 4.29Min: 4.49 / Avg: 4.6 / Max: 4.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURyzen 7 3800XTRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950X7001400210028003500SE +/- 62.92, N = 3SE +/- 15.41, N = 3SE +/- 37.77, N = 3SE +/- 15.54, N = 3SE +/- 8.66, N = 3SE +/- 9.98, N = 3SE +/- 35.59, N = 3SE +/- 8.92, N = 32600.772650.382723.932744.633058.233180.333212.673219.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURyzen 7 3800XTRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950X6001200180024003000Min: 2535.51 / Avg: 2600.77 / Max: 2726.59Min: 2628.32 / Avg: 2650.38 / Max: 2680.04Min: 2650.32 / Avg: 2723.93 / Max: 2775.42Min: 2721.67 / Avg: 2744.63 / Max: 2774.25Min: 3047.74 / Avg: 3058.23 / Max: 3075.4Min: 3160.45 / Avg: 3180.33 / Max: 3191.87Min: 3166.56 / Avg: 3212.67 / Max: 3282.68Min: 3205.55 / Avg: 3219.39 / Max: 3236.051. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT246810SE +/- 0.045, N = 3SE +/- 0.052, N = 3SE +/- 0.025, N = 3SE +/- 0.003, N = 3SE +/- 0.022, N = 3SE +/- 0.068, N = 3SE +/- 0.012, N = 3SE +/- 0.024, N = 35.2385.2825.3125.3205.3345.3646.3876.4781. (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 CompressionAMD Ryzen 9 5950XAMD 5900XRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT3691215Min: 5.17 / Avg: 5.24 / Max: 5.33Min: 5.2 / Avg: 5.28 / Max: 5.38Min: 5.27 / Avg: 5.31 / Max: 5.36Min: 5.32 / Avg: 5.32 / Max: 5.33Min: 5.29 / Avg: 5.33 / Max: 5.36Min: 5.23 / Avg: 5.36 / Max: 5.47Min: 6.37 / Avg: 6.39 / Max: 6.41Min: 6.43 / Avg: 6.48 / Max: 6.511. (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-v3-v3 - Model: mobilenet-v3AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XCore i5 10600KRyzen 7 3800XT1.0982.1963.2944.3925.49SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.953.974.004.164.174.174.444.88MIN: 3.89 / MAX: 4.88MIN: 3.89 / MAX: 5.19MIN: 3.93 / MAX: 4.85MIN: 4.1 / MAX: 4.69MIN: 4.11 / MAX: 5.23MIN: 4.1 / MAX: 8.59MIN: 4.35 / MAX: 5.76MIN: 4.77 / MAX: 6.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XCore i5 10600KRyzen 7 3800XT246810Min: 3.94 / Avg: 3.95 / Max: 3.96Min: 3.94 / Avg: 3.97 / Max: 4Min: 3.96 / Avg: 4 / Max: 4.07Min: 4.14 / Avg: 4.16 / Max: 4.17Min: 4.16 / Avg: 4.17 / Max: 4.18Min: 4.15 / Avg: 4.17 / Max: 4.2Min: 4.41 / Avg: 4.44 / Max: 4.46Min: 4.85 / Avg: 4.88 / Max: 4.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 degAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K1632486480SE +/- 0.28, N = 3SE +/- 0.05, N = 3SE +/- 0.69, N = 3SE +/- 0.37, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.51, N = 3SE +/- 0.05, N = 356.9957.0557.3857.7457.9057.9568.8870.241. (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 degAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K1428425670Min: 56.43 / Avg: 56.99 / Max: 57.31Min: 56.98 / Avg: 57.05 / Max: 57.16Min: 55.99 / Avg: 57.38 / Max: 58.1Min: 57.18 / Avg: 57.74 / Max: 58.44Min: 57.62 / Avg: 57.9 / Max: 58.26Min: 57.77 / Avg: 57.95 / Max: 58.1Min: 67.88 / Avg: 68.88 / Max: 69.55Min: 70.14 / Avg: 70.24 / Max: 70.331. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

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: EXPoSERyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600KAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950X150300450600750SE +/- 1.31, N = 3SE +/- 1.70, N = 3SE +/- 1.21, N = 3SE +/- 2.92, N = 3SE +/- 1.19, N = 3SE +/- 1.75, N = 3SE +/- 6.84, N = 3SE +/- 7.53, N = 3578.72586.27604.20632.95678.59701.57703.32710.95
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSERyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600KAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950X130260390520650Min: 577.1 / Avg: 578.72 / Max: 581.31Min: 583.03 / Avg: 586.27 / Max: 588.78Min: 602.62 / Avg: 604.2 / Max: 606.59Min: 627.32 / Avg: 632.95 / Max: 637.12Min: 676.53 / Avg: 678.59 / Max: 680.65Min: 698.92 / Avg: 701.57 / Max: 704.87Min: 689.7 / Avg: 703.32 / Max: 711.22Min: 700.63 / Avg: 710.95 / Max: 725.6

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K714212835SE +/- 0.21, N = 3SE +/- 0.42, N = 3SE +/- 0.36, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 323.8824.0324.0525.0225.0325.1628.5229.26MIN: 23.48 / MAX: 25.44MIN: 23.27 / MAX: 26.96MIN: 23.56 / MAX: 25.21MIN: 24.8 / MAX: 25.84MIN: 24.79 / MAX: 40.13MIN: 24.86 / MAX: 26.06MIN: 28.15 / MAX: 30.38MIN: 28.93 / MAX: 40.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XTCore i5 10600K612182430Min: 23.61 / Avg: 23.88 / Max: 24.28Min: 23.49 / Avg: 24.03 / Max: 24.85Min: 23.65 / Avg: 24.05 / Max: 24.76Min: 24.93 / Avg: 25.02 / Max: 25.11Min: 24.97 / Avg: 25.03 / Max: 25.09Min: 25.06 / Avg: 25.16 / Max: 25.3Min: 28.27 / Avg: 28.52 / Max: 28.78Min: 29.19 / Avg: 29.26 / Max: 29.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Ogg Encoding

This test times how long it takes to encode a sample WAV file to Ogg format using vorbis-tools, libvorbis, and libogg. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Encoding 1.3.3WAV To OggAMD Ryzen 9 5900XAMD 5950XAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K1.132.263.394.525.65SE +/- 0.023, N = 3SE +/- 0.033, N = 3SE +/- 0.027, N = 3SE +/- 0.011, N = 3SE +/- 0.025, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 34.1104.1224.1374.1704.1924.2024.9745.0221. (CC) gcc options: -O2 -ffast-math -fsigned-char -logg
OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Encoding 1.3.3WAV To OggAMD Ryzen 9 5900XAMD 5950XAMD 5900XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 4.07 / Avg: 4.11 / Max: 4.15Min: 4.09 / Avg: 4.12 / Max: 4.19Min: 4.1 / Avg: 4.14 / Max: 4.19Min: 4.16 / Avg: 4.17 / Max: 4.19Min: 4.15 / Avg: 4.19 / Max: 4.24Min: 4.19 / Avg: 4.2 / Max: 4.22Min: 4.97 / Avg: 4.97 / Max: 4.98Min: 5.01 / Avg: 5.02 / Max: 5.031. (CC) gcc options: -O2 -ffast-math -fsigned-char -logg

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURyzen 9 5900XCore i5 10600KAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950X5001000150020002500SE +/- 8.01, N = 3SE +/- 0.92, N = 3SE +/- 6.44, N = 3SE +/- 3.42, N = 3SE +/- 11.42, N = 3SE +/- 5.90, N = 3SE +/- 12.12, N = 3SE +/- 4.68, N = 31800.161885.501934.151934.922054.302183.682193.672196.001. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURyzen 9 5900XCore i5 10600KAMD 5900XAMD Ryzen 9 5900XRyzen 7 3800XTAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950X400800120016002000Min: 1785.91 / Avg: 1800.16 / Max: 1813.61Min: 1883.68 / Avg: 1885.5 / Max: 1886.63Min: 1922.12 / Avg: 1934.15 / Max: 1944.15Min: 1929.09 / Avg: 1934.92 / Max: 1940.94Min: 2040.19 / Avg: 2054.3 / Max: 2076.92Min: 2176.21 / Avg: 2183.68 / Max: 2195.33Min: 2179.79 / Avg: 2193.67 / Max: 2217.82Min: 2188.66 / Avg: 2196 / Max: 2204.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultAMD Ryzen 9 5900XRyzen 9 5950XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K0.30870.61740.92611.23481.5435SE +/- 0.010, N = 3SE +/- 0.016, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.015, N = 3SE +/- 0.001, N = 31.1271.1381.1501.1531.1541.1711.3661.3721. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultAMD Ryzen 9 5900XRyzen 9 5950XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 1.12 / Avg: 1.13 / Max: 1.15Min: 1.11 / Avg: 1.14 / Max: 1.16Min: 1.14 / Avg: 1.15 / Max: 1.16Min: 1.15 / Avg: 1.15 / Max: 1.16Min: 1.14 / Avg: 1.15 / Max: 1.16Min: 1.17 / Avg: 1.17 / Max: 1.18Min: 1.34 / Avg: 1.37 / Max: 1.38Min: 1.37 / Avg: 1.37 / Max: 1.371. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT3691215SE +/- 0.026, N = 3SE +/- 0.024, N = 3SE +/- 0.035, N = 3SE +/- 0.032, N = 3SE +/- 0.008, N = 3SE +/- 0.017, N = 3SE +/- 0.013, N = 3SE +/- 0.005, N = 39.2319.9489.96010.23510.29210.29711.05211.228
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT3691215Min: 9.18 / Avg: 9.23 / Max: 9.26Min: 9.9 / Avg: 9.95 / Max: 9.98Min: 9.9 / Avg: 9.96 / Max: 10.02Min: 10.18 / Avg: 10.23 / Max: 10.29Min: 10.28 / Avg: 10.29 / Max: 10.31Min: 10.27 / Avg: 10.3 / Max: 10.33Min: 11.03 / Avg: 11.05 / Max: 11.07Min: 11.22 / Avg: 11.23 / Max: 11.24

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: 100AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT10K20K30K40K50KSE +/- 50.99, N = 3SE +/- 98.93, N = 3SE +/- 28.36, N = 3SE +/- 32.03, N = 3SE +/- 234.60, N = 3SE +/- 58.40, N = 3SE +/- 17.70, N = 3SE +/- 65.74, N = 339116391533926040233402734055444676475321. (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: 100AMD 5900XRyzen 9 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT8K16K24K32K40KMin: 39055 / Avg: 39115.67 / Max: 39217Min: 38998 / Avg: 39153 / Max: 39337Min: 39203 / Avg: 39259.67 / Max: 39290Min: 40172 / Avg: 40233.33 / Max: 40280Min: 39805 / Avg: 40273 / Max: 40536Min: 40437 / Avg: 40553.67 / Max: 40617Min: 44650 / Avg: 44676.33 / Max: 44710Min: 47406 / Avg: 47531.67 / Max: 476281. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100AMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K0.47680.95361.43041.90722.384SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.017, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 31.7441.7811.7841.7851.7911.7992.0852.1191. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100AMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K246810Min: 1.74 / Avg: 1.74 / Max: 1.76Min: 1.77 / Avg: 1.78 / Max: 1.8Min: 1.78 / Avg: 1.78 / Max: 1.79Min: 1.78 / Avg: 1.79 / Max: 1.79Min: 1.78 / Avg: 1.79 / Max: 1.8Min: 1.78 / Avg: 1.8 / Max: 1.83Min: 2.08 / Avg: 2.08 / Max: 2.09Min: 2.11 / Avg: 2.12 / Max: 2.121. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200AMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT20K40K60K80K100KSE +/- 185.27, N = 3SE +/- 188.76, N = 3SE +/- 55.76, N = 3SE +/- 150.88, N = 3SE +/- 265.12, N = 3SE +/- 70.44, N = 3SE +/- 183.20, N = 3SE +/- 48.14, N = 378236784147853980879810858131489574950051. (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: 200AMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT16K32K48K64K80KMin: 77876 / Avg: 78236 / Max: 78492Min: 78043 / Avg: 78413.67 / Max: 78661Min: 78445 / Avg: 78539.33 / Max: 78638Min: 80586 / Avg: 80879 / Max: 81088Min: 80556 / Avg: 81085 / Max: 81381Min: 81192 / Avg: 81314.33 / Max: 81436Min: 89376 / Avg: 89574 / Max: 89940Min: 94913 / Avg: 95004.67 / Max: 950761. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K816243240SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 327.2927.4627.4827.5427.6427.7531.3033.131. (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 CompressionRyzen 9 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XAMD 5900XAMD 5950XRyzen 9 5900XRyzen 7 3800XTCore i5 10600K714212835Min: 27.01 / Avg: 27.29 / Max: 27.52Min: 27.36 / Avg: 27.46 / Max: 27.51Min: 27.35 / Avg: 27.48 / Max: 27.7Min: 27.45 / Avg: 27.54 / Max: 27.7Min: 27.43 / Avg: 27.64 / Max: 28.02Min: 27.73 / Avg: 27.75 / Max: 27.76Min: 31.23 / Avg: 31.3 / Max: 31.38Min: 32.98 / Avg: 33.13 / Max: 33.251. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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-v2-50AMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K816243240SE +/- 0.15, N = 15SE +/- 0.12, N = 15SE +/- 0.29, N = 5SE +/- 0.08, N = 3SE +/- 0.52, N = 3SE +/- 0.23, N = 15SE +/- 0.11, N = 3SE +/- 0.02, N = 326.8426.9027.2028.1628.5929.1229.3432.53MIN: 25.65 / MAX: 39.18MIN: 25.81 / MAX: 39.7MIN: 26.08 / MAX: 39.49MIN: 27.76 / MAX: 40.16MIN: 27.75 / MAX: 41.65MIN: 27.81 / MAX: 44.22MIN: 28.24 / MAX: 39.97MIN: 32.29 / MAX: 45.211. (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-v2-50AMD Ryzen 9 5900XAMD 5900XRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K714212835Min: 25.89 / Avg: 26.84 / Max: 27.85Min: 26.07 / Avg: 26.9 / Max: 27.74Min: 26.35 / Avg: 27.2 / Max: 27.76Min: 28.07 / Avg: 28.16 / Max: 28.32Min: 28.06 / Avg: 28.59 / Max: 29.63Min: 28.09 / Avg: 29.11 / Max: 31.07Min: 29.12 / Avg: 29.34 / Max: 29.49Min: 32.49 / Avg: 32.53 / Max: 32.571. (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 i5 10600KAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 7 3800XT0.90681.81362.72043.62724.534SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.333.783.803.813.853.873.874.03MIN: 3.21 / MAX: 3.42MIN: 3.68 / MAX: 12.77MIN: 3.71 / MAX: 4.44MIN: 3.73 / MAX: 4.34MIN: 3.79 / MAX: 3.88MIN: 3.79 / MAX: 4.55MIN: 3.81 / MAX: 5MIN: 3.95 / MAX: 4.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Core i5 10600KAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 7 3800XT246810Min: 3.26 / Avg: 3.33 / Max: 3.38Min: 3.76 / Avg: 3.78 / Max: 3.8Min: 3.78 / Avg: 3.8 / Max: 3.81Min: 3.8 / Avg: 3.81 / Max: 3.83Min: 3.84 / Avg: 3.85 / Max: 3.86Min: 3.87 / Avg: 3.87 / Max: 3.88Min: 3.87 / Avg: 3.87 / Max: 3.88Min: 4.01 / Avg: 4.03 / Max: 4.051. (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: AlexNet - Acceleration: CPU - Iterations: 1000Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT100K200K300K400K500KSE +/- 1920.61, N = 3SE +/- 1337.88, N = 3SE +/- 610.11, N = 3SE +/- 760.51, N = 3SE +/- 422.79, N = 3SE +/- 860.62, N = 3SE +/- 1023.79, N = 3SE +/- 1477.58, N = 33917103923843930834052024056804067724474834731531. (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: 1000Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT80K160K240K320K400KMin: 389346 / Avg: 391710 / Max: 395514Min: 390033 / Avg: 392384 / Max: 394666Min: 391957 / Avg: 393083.33 / Max: 394053Min: 403682 / Avg: 405202.33 / Max: 406002Min: 404840 / Avg: 405680 / Max: 406184Min: 405202 / Avg: 406772 / Max: 408168Min: 446352 / Avg: 447483.33 / Max: 449527Min: 470641 / Avg: 473153 / Max: 4757571. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 i5 10600KAMD 5900XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XRyzen 7 3800XT0.38030.76061.14091.52121.9015SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 31.401.481.491.541.551.551.561.69MIN: 1.36 / MAX: 1.56MIN: 1.46 / MAX: 1.64MIN: 1.46 / MAX: 1.68MIN: 1.52 / MAX: 1.58MIN: 1.53 / MAX: 2.17MIN: 1.52 / MAX: 1.72MIN: 1.46 / MAX: 37.8MIN: 1.64 / MAX: 1.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceCore i5 10600KAMD 5900XRyzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5900XRyzen 7 3800XT246810Min: 1.38 / Avg: 1.4 / Max: 1.42Min: 1.47 / Avg: 1.48 / Max: 1.49Min: 1.48 / Avg: 1.49 / Max: 1.5Min: 1.54 / Avg: 1.54 / Max: 1.55Min: 1.54 / Avg: 1.55 / Max: 1.55Min: 1.53 / Avg: 1.55 / Max: 1.57Min: 1.49 / Avg: 1.56 / Max: 1.68Min: 1.68 / Avg: 1.69 / Max: 1.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPURyzen 9 5900XCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950X5001000150020002500SE +/- 6.64, N = 3SE +/- 2.30, N = 3SE +/- 7.12, N = 3SE +/- 2.70, N = 3SE +/- 5.00, N = 3SE +/- 5.41, N = 3SE +/- 4.79, N = 3SE +/- 5.16, N = 31827.011885.671929.131939.852049.692185.202190.312198.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPURyzen 9 5900XCore i5 10600KAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950X400800120016002000Min: 1815.52 / Avg: 1827.01 / Max: 1838.51Min: 1881.74 / Avg: 1885.67 / Max: 1889.7Min: 1915.57 / Avg: 1929.13 / Max: 1939.68Min: 1935.97 / Avg: 1939.85 / Max: 1945.04Min: 2041.4 / Avg: 2049.69 / Max: 2058.68Min: 2179.6 / Avg: 2185.2 / Max: 2196.02Min: 2185.39 / Avg: 2190.31 / Max: 2199.88Min: 2191.38 / Avg: 2198.03 / Max: 2208.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 FLACAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K246810SE +/- 0.029, N = 5SE +/- 0.028, N = 5SE +/- 0.024, N = 5SE +/- 0.019, N = 5SE +/- 0.041, N = 5SE +/- 0.033, N = 5SE +/- 0.035, N = 5SE +/- 0.006, N = 56.3506.3516.3736.3916.3956.4257.3507.5881. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XAMD Ryzen 9 5900XRyzen 7 3800XTCore i5 10600K3691215Min: 6.27 / Avg: 6.35 / Max: 6.43Min: 6.27 / Avg: 6.35 / Max: 6.42Min: 6.29 / Avg: 6.37 / Max: 6.43Min: 6.32 / Avg: 6.39 / Max: 6.42Min: 6.24 / Avg: 6.39 / Max: 6.47Min: 6.33 / Avg: 6.43 / Max: 6.53Min: 7.27 / Avg: 7.35 / Max: 7.46Min: 7.57 / Avg: 7.59 / Max: 7.61. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

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-onlyRyzen 7 3800XTCore i5 10600KAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900X246810SE +/- 0.006, N = 3SE +/- 0.007, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 3SE +/- 0.012, N = 3SE +/- 0.007, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 35.1446.0326.0796.0876.1006.1206.1256.144
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyRyzen 7 3800XTCore i5 10600KAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950XAMD 5900XRyzen 9 5900XAMD Ryzen 9 5900X246810Min: 5.13 / Avg: 5.14 / Max: 5.16Min: 6.03 / Avg: 6.03 / Max: 6.05Min: 6.07 / Avg: 6.08 / Max: 6.09Min: 6.07 / Avg: 6.09 / Max: 6.1Min: 6.08 / Avg: 6.1 / Max: 6.12Min: 6.11 / Avg: 6.12 / Max: 6.13Min: 6.11 / Avg: 6.13 / Max: 6.13Min: 6.14 / Avg: 6.14 / Max: 6.15

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT816243240SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 330.5330.7730.8730.8730.9631.0035.0936.27
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XCore i5 10600KRyzen 7 3800XT816243240Min: 30.44 / Avg: 30.53 / Max: 30.68Min: 30.73 / Avg: 30.77 / Max: 30.8Min: 30.66 / Avg: 30.87 / Max: 30.99Min: 30.79 / Avg: 30.87 / Max: 30.94Min: 30.82 / Avg: 30.96 / Max: 31.05Min: 30.78 / Avg: 31 / Max: 31.19Min: 35.08 / Avg: 35.09 / Max: 35.1Min: 36.09 / Avg: 36.27 / Max: 36.53

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5900XCore i5 10600KRyzen 7 3800XT1224364860SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.21, N = 344.5945.0345.0445.2245.2645.3452.3652.66
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5900XCore i5 10600KRyzen 7 3800XT1122334455Min: 44.28 / Avg: 44.59 / Max: 44.99Min: 44.89 / Avg: 45.03 / Max: 45.26Min: 44.94 / Avg: 45.04 / Max: 45.17Min: 45.08 / Avg: 45.22 / Max: 45.5Min: 45.11 / Avg: 45.26 / Max: 45.42Min: 45.18 / Avg: 45.34 / Max: 45.42Min: 52.36 / Avg: 52.36 / Max: 52.37Min: 52.28 / Avg: 52.66 / Max: 52.99

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-maskRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XCore i5 10600KAMD Ryzen 9 5950XRyzen 7 3800XT48121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 5SE +/- 0.18, N = 4SE +/- 0.18, N = 411.6812.3312.3512.8012.8112.8712.9713.76
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XRyzen 9 5950XCore i5 10600KAMD Ryzen 9 5950XRyzen 7 3800XT48121620Min: 11.66 / Avg: 11.68 / Max: 11.7Min: 12.32 / Avg: 12.33 / Max: 12.34Min: 12.31 / Avg: 12.35 / Max: 12.37Min: 12.75 / Avg: 12.8 / Max: 12.85Min: 12.77 / Avg: 12.81 / Max: 12.84Min: 12.69 / Avg: 12.87 / Max: 13.55Min: 12.78 / Avg: 12.97 / Max: 13.5Min: 13.55 / Avg: 13.76 / Max: 14.3

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: 100Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT30K60K90K120K150KSE +/- 10.90, N = 3SE +/- 106.28, N = 3SE +/- 112.72, N = 3SE +/- 128.54, N = 3SE +/- 271.03, N = 3SE +/- 88.66, N = 3SE +/- 34.28, N = 3SE +/- 670.29, N = 3996511000331000821069691073701075491157701168191. (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: 100Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT20K40K60K80K100KMin: 99635 / Avg: 99651.33 / Max: 99672Min: 99827 / Avg: 100032.67 / Max: 100182Min: 99861 / Avg: 100081.67 / Max: 100232Min: 106712 / Avg: 106969 / Max: 107103Min: 107018 / Avg: 107370 / Max: 107903Min: 107393 / Avg: 107549 / Max: 107700Min: 115702 / Avg: 115769.67 / Max: 115813Min: 115484 / Avg: 116818.67 / Max: 1175951. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XCore i5 10600KRyzen 7 3800XT246810SE +/- 0.030, N = 3SE +/- 0.039, N = 3SE +/- 0.042, N = 3SE +/- 0.056, N = 3SE +/- 0.028, N = 3SE +/- 0.053, N = 3SE +/- 0.080, N = 3SE +/- 0.020, N = 36.6066.7206.7626.8016.8406.8527.6567.720
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XCore i5 10600KRyzen 7 3800XT3691215Min: 6.56 / Avg: 6.61 / Max: 6.66Min: 6.67 / Avg: 6.72 / Max: 6.8Min: 6.68 / Avg: 6.76 / Max: 6.82Min: 6.73 / Avg: 6.8 / Max: 6.91Min: 6.81 / Avg: 6.84 / Max: 6.9Min: 6.75 / Avg: 6.85 / Max: 6.91Min: 7.57 / Avg: 7.66 / Max: 7.82Min: 7.7 / Avg: 7.72 / Max: 7.76

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: 1000Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT200K400K600K800K1000KSE +/- 2048.63, N = 3SE +/- 1247.15, N = 3SE +/- 3241.09, N = 3SE +/- 1078.93, N = 3SE +/- 1437.61, N = 3SE +/- 1251.86, N = 3SE +/- 1308.59, N = 3SE +/- 3805.70, N = 399385710004681001758106702010691871070777115930311602771. (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: 1000Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT200K400K600K800K1000KMin: 990755 / Avg: 993856.67 / Max: 997726Min: 997994 / Avg: 1000468 / Max: 1001980Min: 995644 / Avg: 1001758 / Max: 1006680Min: 1065710 / Avg: 1067020 / Max: 1069160Min: 1067660 / Avg: 1069186.67 / Max: 1072060Min: 1068760 / Avg: 1070776.67 / Max: 1073070Min: 1156990 / Avg: 1159303.33 / Max: 1161520Min: 1154630 / Avg: 1160276.67 / Max: 11675201. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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: alexnetAMD Ryzen 9 5900XCore i5 10600KRyzen 9 5900XAMD 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XT48121620SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 313.7213.7213.7413.8114.0014.0114.1015.96MIN: 13.41 / MAX: 14.76MIN: 13.64 / MAX: 14.2MIN: 13.42 / MAX: 14.68MIN: 13.56 / MAX: 15.91MIN: 13.82 / MAX: 14.72MIN: 13.82 / MAX: 16.1MIN: 13.8 / MAX: 14.63MIN: 15.86 / MAX: 21.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetAMD Ryzen 9 5900XCore i5 10600KRyzen 9 5900XAMD 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XT48121620Min: 13.58 / Avg: 13.72 / Max: 13.81Min: 13.69 / Avg: 13.72 / Max: 13.75Min: 13.61 / Avg: 13.74 / Max: 13.83Min: 13.74 / Avg: 13.81 / Max: 13.86Min: 14 / Avg: 14 / Max: 14.01Min: 14.01 / Avg: 14.01 / Max: 14.02Min: 14 / Avg: 14.1 / Max: 14.3Min: 15.92 / Avg: 15.96 / Max: 15.991. (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: 200Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT50K100K150K200K250KSE +/- 248.87, N = 3SE +/- 225.53, N = 3SE +/- 111.88, N = 3SE +/- 558.42, N = 3SE +/- 188.80, N = 3SE +/- 268.78, N = 3SE +/- 202.35, N = 3SE +/- 626.51, N = 31994852002642003302134812136482148062314192320371. (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: 200Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT40K80K120K160K200KMin: 199121 / Avg: 199485 / Max: 199961Min: 199846 / Avg: 200263.67 / Max: 200620Min: 200213 / Avg: 200330.33 / Max: 200554Min: 212384 / Avg: 213480.67 / Max: 214212Min: 213275 / Avg: 213648.33 / Max: 213884Min: 214422 / Avg: 214806.33 / Max: 215324Min: 231092 / Avg: 231419 / Max: 231789Min: 230808 / Avg: 232037 / Max: 2328631. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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: CartoonRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT20406080100SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 371.7771.9271.9972.1372.1872.1982.2683.41
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonRyzen 9 5900XAMD 5950XAMD Ryzen 9 5950XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT1632486480Min: 71.62 / Avg: 71.77 / Max: 71.97Min: 71.9 / Avg: 71.92 / Max: 71.96Min: 71.85 / Avg: 71.99 / Max: 72.16Min: 71.98 / Avg: 72.13 / Max: 72.29Min: 71.96 / Avg: 72.18 / Max: 72.38Min: 71.8 / Avg: 72.19 / Max: 72.61Min: 82.12 / Avg: 82.26 / Max: 82.38Min: 83.29 / Avg: 83.41 / Max: 83.48

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT612182430SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 323.7323.8223.8424.0624.0824.1425.8527.57
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD 5950XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT612182430Min: 23.58 / Avg: 23.73 / Max: 23.84Min: 23.79 / Avg: 23.82 / Max: 23.86Min: 23.76 / Avg: 23.84 / Max: 24Min: 24.02 / Avg: 24.06 / Max: 24.13Min: 24.04 / Avg: 24.08 / Max: 24.11Min: 24.11 / Avg: 24.14 / Max: 24.16Min: 25.83 / Avg: 25.85 / Max: 25.87Min: 27.5 / Avg: 27.57 / Max: 27.65

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: vklBenchmarkUnstructuredVolumeAMD 5900XCore i5 10600KAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XT500K1000K1500K2000K2500KSE +/- 10546.32, N = 3SE +/- 4715.86, N = 3SE +/- 10043.43, N = 3SE +/- 9858.49, N = 3SE +/- 2799.14, N = 3SE +/- 3222.23, N = 3SE +/- 6822.71, N = 3SE +/- 3394.49, N = 32408487.762386272.722379297.602376873.952372336.232371142.672344540.442073273.63MIN: 31594 / MAX: 8725219MIN: 34773 / MAX: 8456945MIN: 31596 / MAX: 8708131MIN: 31545 / MAX: 8539873MIN: 31743 / MAX: 8531849MIN: 32105 / MAX: 8803258MIN: 31598 / MAX: 8467001MIN: 30100 / MAX: 6765249
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeAMD 5900XCore i5 10600KAMD Ryzen 9 5950XRyzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XRyzen 7 3800XT400K800K1200K1600K2000KMin: 2396272.21 / Avg: 2408487.76 / Max: 2429487.15Min: 2381171.06 / Avg: 2386272.72 / Max: 2395693.61Min: 2359212.79 / Avg: 2379297.6 / Max: 2389588.45Min: 2358274.33 / Avg: 2376873.95 / Max: 2391840.32Min: 2368791.75 / Avg: 2372336.23 / Max: 2377861.21Min: 2365124.78 / Avg: 2371142.67 / Max: 2376148.39Min: 2334720.81 / Avg: 2344540.44 / Max: 2357655.7Min: 2067355.14 / Avg: 2073273.63 / Max: 2079113.2

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 7 3800XTCore i5 10600K1530456075SE +/- 0.13, N = 3SE +/- 0.24, N = 3SE +/- 0.72, N = 6SE +/- 0.29, N = 3SE +/- 0.15, N = 3SE +/- 0.57, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 359.3660.3460.4862.0662.1362.1465.8768.90
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 7 3800XTCore i5 10600K1326395265Min: 59.22 / Avg: 59.36 / Max: 59.61Min: 59.92 / Avg: 60.34 / Max: 60.76Min: 59.16 / Avg: 60.48 / Max: 64Min: 61.58 / Avg: 62.06 / Max: 62.58Min: 61.98 / Avg: 62.13 / Max: 62.42Min: 61.19 / Avg: 62.14 / Max: 63.17Min: 65.51 / Avg: 65.87 / Max: 66.08Min: 68.77 / Avg: 68.9 / Max: 68.99

DeepSpeech

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPURyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K1428425670SE +/- 0.34, N = 3SE +/- 0.34, N = 3SE +/- 0.49, N = 3SE +/- 0.09, N = 3SE +/- 0.36, N = 3SE +/- 0.21, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 355.5758.4258.7059.4859.5259.8261.2864.38
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPURyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XTCore i5 10600K1326395265Min: 54.88 / Avg: 55.57 / Max: 55.92Min: 58.08 / Avg: 58.42 / Max: 59.09Min: 58.03 / Avg: 58.7 / Max: 59.67Min: 59.34 / Avg: 59.48 / Max: 59.65Min: 58.98 / Avg: 59.52 / Max: 60.21Min: 59.57 / Avg: 59.82 / Max: 60.23Min: 60.93 / Avg: 61.28 / Max: 61.74Min: 64.22 / Avg: 64.38 / Max: 64.66

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Core i5 10600KRyzen 9 5900XRyzen 7 3800XTAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950X246810SE +/- 0.017, N = 3SE +/- 0.072, N = 5SE +/- 0.021, N = 3SE +/- 0.084, N = 15SE +/- 0.115, N = 15SE +/- 0.105, N = 3SE +/- 0.080, N = 3SE +/- 0.099, N = 155.6585.8745.9886.1016.1236.2386.3976.544MIN: 5.53 / MAX: 7.79MIN: 5.52 / MAX: 10.5MIN: 5.88 / MAX: 7.05MIN: 5.24 / MAX: 13.34MIN: 5.02 / MAX: 17.67MIN: 6.03 / MAX: 17.96MIN: 6.17 / MAX: 16.52MIN: 5.72 / MAX: 18.481. (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 i5 10600KRyzen 9 5900XRyzen 7 3800XTAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5950X3691215Min: 5.63 / Avg: 5.66 / Max: 5.68Min: 5.67 / Avg: 5.87 / Max: 6.08Min: 5.96 / Avg: 5.99 / Max: 6.03Min: 5.31 / Avg: 6.1 / Max: 6.62Min: 5.11 / Avg: 6.12 / Max: 6.61Min: 6.11 / Avg: 6.24 / Max: 6.45Min: 6.25 / Avg: 6.4 / Max: 6.52Min: 5.9 / Avg: 6.54 / Max: 7.281. (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

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectRyzen 9 5900XAMD 5950XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XCore i5 10600KRyzen 7 3800XT714212835SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 324.4424.5724.6424.6624.6824.8426.9828.26
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectRyzen 9 5900XAMD 5950XAMD Ryzen 9 5900XAMD Ryzen 9 5950XRyzen 9 5950XAMD 5900XCore i5 10600KRyzen 7 3800XT612182430Min: 24.31 / Avg: 24.44 / Max: 24.69Min: 24.54 / Avg: 24.57 / Max: 24.63Min: 24.61 / Avg: 24.64 / Max: 24.66Min: 24.6 / Avg: 24.66 / Max: 24.71Min: 24.65 / Avg: 24.68 / Max: 24.71Min: 24.77 / Avg: 24.84 / Max: 24.88Min: 26.97 / Avg: 26.97 / Max: 26.98Min: 28.22 / Avg: 28.26 / Max: 28.31

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 TimesAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT48121620SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 315.4715.7315.8015.8515.9016.0317.1817.751. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesAMD 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XAMD Ryzen 9 5900XCore i5 10600KRyzen 7 3800XT48121620Min: 15.29 / Avg: 15.47 / Max: 15.8Min: 15.62 / Avg: 15.73 / Max: 15.82Min: 15.64 / Avg: 15.8 / Max: 16.11Min: 15.43 / Avg: 15.85 / Max: 16.16Min: 15.87 / Avg: 15.9 / Max: 15.94Min: 15.97 / Avg: 16.03 / Max: 16.1Min: 17.16 / Avg: 17.17 / Max: 17.19Min: 17.62 / Avg: 17.75 / Max: 18.021. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT816243240SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 330.3430.6230.6430.6830.6930.7634.0334.79
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XCore i5 10600KRyzen 7 3800XT714212835Min: 30.12 / Avg: 30.34 / Max: 30.48Min: 30.47 / Avg: 30.62 / Max: 30.82Min: 30.53 / Avg: 30.64 / Max: 30.82Min: 30.62 / Avg: 30.68 / Max: 30.78Min: 30.64 / Avg: 30.69 / Max: 30.72Min: 30.54 / Avg: 30.76 / Max: 30.88Min: 34.01 / Avg: 34.03 / Max: 34.05Min: 34.5 / Avg: 34.79 / Max: 34.93

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 i5 10600KAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 7 3800XT1530456075SE +/- 0.00, N = 3SE +/- 0.44, N = 3SE +/- 0.06, N = 3SE +/- 0.76, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 359.7460.9461.1061.8265.3365.3765.6668.33MIN: 59.6 / MAX: 63.37MIN: 59.59 / MAX: 62.87MIN: 60.06 / MAX: 62.16MIN: 58.81 / MAX: 582MIN: 64.32 / MAX: 67.23MIN: 64.01 / MAX: 74.99MIN: 64.68 / MAX: 67.82MIN: 67.88 / MAX: 117.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Core i5 10600KAMD 5900XAMD Ryzen 9 5900XRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5950XRyzen 7 3800XT1326395265Min: 59.73 / Avg: 59.74 / Max: 59.74Min: 60.06 / Avg: 60.94 / Max: 61.47Min: 61.02 / Avg: 61.1 / Max: 61.22Min: 61.01 / Avg: 61.82 / Max: 63.34Min: 65.29 / Avg: 65.33 / Max: 65.37Min: 65.14 / Avg: 65.37 / Max: 65.51Min: 65.55 / Avg: 65.66 / Max: 65.72Min: 68.19 / Avg: 68.33 / Max: 68.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Tesseract OCR

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XAMD 5900XCore i5 10600KRyzen 7 3800XT510152025SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 319.1419.2519.3319.3619.3719.4820.3821.70
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XAMD 5900XCore i5 10600KRyzen 7 3800XT510152025Min: 19 / Avg: 19.14 / Max: 19.24Min: 19.04 / Avg: 19.25 / Max: 19.49Min: 19.01 / Avg: 19.33 / Max: 19.74Min: 19.08 / Avg: 19.36 / Max: 19.52Min: 19.27 / Avg: 19.37 / Max: 19.43Min: 19.31 / Avg: 19.48 / Max: 19.59Min: 20.33 / Avg: 20.38 / Max: 20.43Min: 21.36 / Avg: 21.7 / Max: 21.93

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: Wavelet BlurRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT1326395265SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 350.2050.5150.6050.6550.7550.8554.4756.80
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurRyzen 9 5900XAMD 5950XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5900XAMD Ryzen 9 5950XCore i5 10600KRyzen 7 3800XT1122334455Min: 50.03 / Avg: 50.2 / Max: 50.34Min: 50.49 / Avg: 50.51 / Max: 50.55Min: 50.57 / Avg: 50.6 / Max: 50.65Min: 50.28 / Avg: 50.65 / Max: 51.11Min: 50.59 / Avg: 50.75 / Max: 50.88Min: 50.79 / Avg: 50.85 / Max: 50.91Min: 54.35 / Avg: 54.47 / Max: 54.57Min: 56.62 / Avg: 56.8 / Max: 56.93

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-v1-1.0AMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XTRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XCore i5 10600K1.27152.5433.81455.0866.3575SE +/- 0.019, N = 3SE +/- 0.032, N = 3SE +/- 0.010, N = 15SE +/- 0.022, N = 3SE +/- 0.013, N = 5SE +/- 0.007, N = 15SE +/- 0.006, N = 15SE +/- 0.003, N = 35.0495.0515.0585.3575.5915.6325.6375.651MIN: 4.99 / MAX: 17.3MIN: 4.96 / MAX: 5.68MIN: 4.94 / MAX: 18.32MIN: 5.28 / MAX: 7.63MIN: 5.51 / MAX: 7.82MIN: 5.54 / MAX: 18.15MIN: 5.54 / MAX: 10.33MIN: 5.62 / MAX: 8.231. (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-v1-1.0AMD 5950XAMD Ryzen 9 5950XRyzen 9 5950XRyzen 7 3800XTRyzen 9 5900XAMD 5900XAMD Ryzen 9 5900XCore i5 10600K246810Min: 5.02 / Avg: 5.05 / Max: 5.08Min: 5.01 / Avg: 5.05 / Max: 5.12Min: 5 / Avg: 5.06 / Max: 5.12Min: 5.33 / Avg: 5.36 / Max: 5.4Min: 5.55 / Avg: 5.59 / Max: 5.62Min: 5.57 / Avg: 5.63 / Max: 5.68Min: 5.57 / Avg: 5.64 / Max: 5.67Min: 5.65 / Avg: 5.65 / Max: 5.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

dcraw

This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image ConversionCore i5 10600KAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XT816243240SE +/- 0.01, N = 3SE +/- 0.28, N = 3SE +/- 0.38, N = 3SE +/- 0.17, N = 3SE +/- 0.22, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 334.0334.3634.4834.5534.8934.9235.0236.791. (CC) gcc options: -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image ConversionCore i5 10600KAMD 5900XRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5900XAMD 5950XAMD Ryzen 9 5950XRyzen 7 3800XT816243240Min: 34.02 / Avg: 34.03 / Max: 34.04Min: 34.05 / Avg: 34.36 / Max: 34.91Min: 33.89 / Avg: 34.48 / Max: 35.18Min: 34.25 / Avg: 34.55 / Max: 34.82Min: 34.49 / Avg: 34.89 / Max: 35.24Min: 34.85 / Avg: 34.92 / Max: 35.02Min: 34.94 / Avg: 35.02 / Max: 35.13Min: 36.53 / Avg: 36.79 / Max: 37.131. (CC) gcc options: -lm

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 TimeAMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT714212835SE +/- 0.10, N = 3SE +/- 0.31, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 328.0128.2128.3428.6728.7828.8028.8930.141. (CC) gcc options: -lm -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeAMD 5900XAMD Ryzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5950XAMD 5950XRyzen 9 5900XCore i5 10600KRyzen 7 3800XT714212835Min: 27.9 / Avg: 28.01 / Max: 28.21Min: 27.61 / Avg: 28.21 / Max: 28.64Min: 28.11 / Avg: 28.34 / Max: 28.47Min: 28.55 / Avg: 28.67 / Max: 28.74Min: 28.47 / Avg: 28.78 / Max: 29.24Min: 28.68 / Avg: 28.8 / Max: 28.94Min: 28.87 / Avg: 28.89 / Max: 28.89Min: 30.07 / Avg: 30.14 / Max: 30.191. (CC) gcc options: -lm -O3

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-onlyRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTAMD Ryzen 9 5950XCore i5 10600KAMD 5950XRyzen 9 5950X0.04030.08060.12090.16120.2015SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 13SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1690.1710.1730.1750.1770.1770.1780.179
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyRyzen 9 5900XAMD Ryzen 9 5900XAMD 5900XRyzen 7 3800XTAMD Ryzen 9 5950XCore i5 10600KAMD 5950XRyzen 9 5950X12345Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.17 / Avg: 0.17 / Max: 0.19Min: 0.17 / Avg: 0.18 / Max: 0.18Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.17 / Avg: 0.18 / Max: 0.18Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.18 / Avg: 0.18 / Max: 0.18

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 7.0Test: N=256, 1D Complex FFT RoutineRyzen 9 5900X8K16K24K32K40KSE +/- 503.26, N = 335355.091. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkCore i5 10600KRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5900XAMD 5950XRyzen 7 3800XT11002200330044005500SE +/- 10.84, N = 3SE +/- 97.38, N = 15SE +/- 78.86, N = 3SE +/- 174.53, N = 12SE +/- 147.57, N = 14SE +/- 147.73, N = 15SE +/- 128.36, N = 15SE +/- 223.14, N = 12246130784660469547584872493849801. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkCore i5 10600KRyzen 9 5900XRyzen 9 5950XAMD Ryzen 9 5900XAMD Ryzen 9 5950XAMD 5900XAMD 5950XRyzen 7 3800XT9001800270036004500Min: 2444 / Avg: 2460.67 / Max: 2481Min: 2168 / Avg: 3077.67 / Max: 3549Min: 4526 / Avg: 4659.67 / Max: 4799Min: 3810 / Avg: 4695.08 / Max: 6053Min: 3548 / Avg: 4757.86 / Max: 5562Min: 3876 / Avg: 4872.33 / Max: 5617Min: 3826 / Avg: 4938.47 / Max: 5734Min: 4140 / Avg: 4980.17 / Max: 69681. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

272 Results Shown

NCNN
LULESH
NCNN
oneDNN
NCNN:
  Vulkan GPU - googlenet
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - alexnet
  Vulkan GPU - mobilenet
oneDNN
NCNN
GraphicsMagick
NCNN
oneDNN
TensorFlow Lite:
  Inception ResNet V2
  Mobilenet Float
  Inception V4
ACES DGEMM
QMCPACK
NAMD
TensorFlow Lite
C-Ray
NCNN
Mlpack Benchmark
oneDNN
ASTC Encoder
TensorFlow Lite
oneDNN
CP2K Molecular Dynamics
YafaRay
ASTC Encoder
IndigoBench
Tachyon
Blender
Chaos Group V-RAY
Smallpt
LuxCoreRender
Basis Universal
Blender
Embree
Blender
NCNN
Incompact3D
Blender
GraphicsMagick
IndigoBench
LuxCoreRender
Tungsten Renderer
Kvazaar
Appleseed
Kvazaar
SVT-HEVC
Appleseed
OSPray
LAMMPS Molecular Dynamics Simulator
POV-Ray
Basis Universal
rays1bench
Blender
Appleseed
OSPray
LAMMPS Molecular Dynamics Simulator
OSPray
Timed MPlayer Compilation
OpenVKL
OSPray
OpenVINO
Embree
TTSIOD 3D Renderer
Tungsten Renderer
GraphicsMagick
OpenVINO
Embree:
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon Obj
Tungsten Renderer
Timed FFmpeg Compilation
Timed Linux Kernel Compilation
oneDNN:
  Deconvolution Batch deconv_1d - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
GraphicsMagick
Numenta Anomaly Benchmark
Kvazaar
OSPray
Kvazaar
GraphicsMagick
NCNN
x264
Kvazaar
OSPray:
  San Miguel - Path Tracer
  San Miguel - SciVis
Kvazaar
SVT-AV1
Timed LLVM Compilation
oneDNN:
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
SVT-AV1
TensorFlow Lite
Nebular Empirical Analysis Tool
FFTW
x265
NeatBench
Numenta Anomaly Benchmark
Embree
oneDNN
Embree
Numenta Anomaly Benchmark
FFTW
Build2
OSPray
Numenta Anomaly Benchmark
FFTW
libavif avifenc
FFTW
Pennant:
  leblancbig
  sedovbig
Algebraic Multi-Grid Benchmark
NCNN:
  Vulkan GPU - resnet18
  Vulkan GPU - vgg16
  Vulkan GPU - resnet50
libavif avifenc
Timed ImageMagick Compilation
Kvazaar
Intel Open Image Denoise
Kvazaar
OpenVINO
LeelaChessZero
OpenVINO
G'MIC
OCRMyPDF
OpenVINO
Timed MAFFT Alignment
FFTW
OpenVINO
SVT-VP9
libgav1
FFTW
Timed PHP Compilation
PlaidML
OpenVKL
GPAW
dav1d
libgav1
ASTC Encoder
Timed MrBayes Analysis
dav1d
OpenVKL
dav1d
Timed GDB GNU Debugger Compilation
Timed GCC Compilation
FFmpeg
dav1d
SVT-VP9
Timed HMMer Search
x265
FFTW
PlaidML
AOM AV1
Monte Carlo Simulations of Ionised Nebulae
GROMACS
SVT-VP9
libgav1
oneDNN
NCNN
Tungsten Renderer
libgav1
AOM AV1
oneDNN
FFTW
Dolfyn
miniFE
Scikit-Learn
LibRaw
Inkscape
Radiance Benchmark
librsvg
RNNoise
Basis Universal
GIMP
oneDNN
Radiance Benchmark
Mobile Neural Network
Darktable
Basis Universal
oneDNN
AOM AV1
NCNN
OpenVINO
CloverLeaf
SVT-AV1
Mlpack Benchmark
NCNN
ASTC Encoder
Basis Universal
G'MIC
OpenVINO
VP9 libvpx Encoding
GraphicsMagick
AOM AV1
TNN
RawTherapee
Timed Apache Compilation
Numpy Benchmark
AOM AV1
LAME MP3 Encoding
TNN
Himeno Benchmark
NCNN:
  CPU - yolov4-tiny
  CPU - resnet18
Mobile Neural Network
NCNN
libavif avifenc
GIMP
libjpeg-turbo tjbench
NCNN
eSpeak-NG Speech Engine
Hugin
OpenVINO
VP9 libvpx Encoding
GraphicsMagick
Mlpack Benchmark
libavif avifenc
WebP Image Encode
GEGL
GNU Octave Benchmark
Darktable
NCNN
OpenVINO
WebP Image Encode
NCNN
Montage Astronomical Image Mosaic Engine
Numenta Anomaly Benchmark
NCNN
Ogg Encoding
OpenVINO
WebP Image Encode
GIMP
Caffe
WebP Image Encode
Caffe
WebP Image Encode
Mobile Neural Network
NCNN
Caffe
NCNN
OpenVINO
FLAC Audio Encoding
Darktable
GEGL:
  Rotate 90 Degrees
  Color Enhance
GIMP
Caffe
GEGL
Caffe
NCNN
Caffe
GEGL:
  Cartoon
  Tile Glass
OpenVKL
Mlpack Benchmark
DeepSpeech
Mobile Neural Network
GEGL
G'MIC
GEGL
NCNN
Tesseract OCR
GEGL
Mobile Neural Network
dcraw
AOBench
Darktable
FFTE
OpenCV