amd-ryzen-9-5900x-on-linux-ubuntu-2010

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Ryzen 9 5900X
November 05 2020
  1 Day, 7 Hours, 9 Minutes
Ryzen 9 5900Xa
November 07 2020
  10 Minutes
Ryzen 5 5600X
November 07 2020
  1 Day, 3 Hours, 28 Minutes
AMD 5600X
November 08 2020
  1 Day, 4 Hours
5600X 2a
November 10 2020
 
Ryzen 7 5800X
November 10 2020
  1 Day, 1 Hour, 33 Minutes
AMD Ryzen 7 5800X
November 11 2020
  1 Day, 3 Hours, 40 Minutes
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amd-ryzen-9-5900x-on-linux-ubuntu-2010 ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 9 5900XRyzen 9 5900XaRyzen 5 5600XAMD 5600X5600X 2aRyzen 7 5800XAMD Ryzen 7 5800XAMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASRock X570 Pro4 (P3.40 BIOS)AMD Starship/Matisse16GB500GB CT500P2SSD8 + 16GB Corsair Voyager 3.0Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1560/2100MHz)AMD Ellesmere HDMI AudioASUS VP28UIntel I211Ubuntu 20.105.8.0-26-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0ext43840x2160AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads)500GB CT500P2SSD8G237HL1920x1080AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads)OpenBenchmarking.orgCompiler Details- Ryzen 9 5900X, Ryzen 5 5600X, AMD 5600X, 5600X 2a, Ryzen 7 5800X, AMD Ryzen 7 5800X: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009Graphics Details- Ryzen 9 5900X, Ryzen 7 5800X, AMD Ryzen 7 5800X: GLAMORJava Details- Ryzen 9 5900X, Ryzen 5 5600X, AMD 5600X, 5600X 2a, Ryzen 7 5800X, AMD Ryzen 7 5800X: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)Python Details- Ryzen 9 5900X, Ryzen 5 5600X, AMD 5600X, 5600X 2a, Ryzen 7 5800X, AMD Ryzen 7 5800X: Python 3.8.6Security Details- 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-on-linux-ubuntu-2010 lulesh: onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUqmcpack: pennant: leblancbigpennant: sedovbigospray: Magnetic Reconnection - Path Traceropenvkl: vklBenchmarkospray: San Miguel - SciVisncnn: CPU - shufflenet-v2svt-av1: Enc Mode 8 - 1080pmkl-dnn: IP Batch All - u8s8f32aircrack-ng: rays1bench: Large Scenesmallpt: Global Illumination Renderer; 128 Samplesospray: XFrog Forest - SciVisembree: Pathtracer - Crownn-queens: Elapsed Timeopenssl: RSA 4096-bit Performancejohn-the-ripper: MD5v-ray: CPUgraphics-magick: Sharpenospray: NASA Streamlines - Path Tracertachyon: Total Timeospray: NASA Streamlines - SciVisonednn: IP Batch All - u8s8f32 - CPUstockfish: Total Timeindigobench: Supercarmkl-dnn: Deconvolution Batch deconv_1d - u8s8f32indigobench: Bedroomembree: Pathtracer ISPC - Crownc-ray: Total Time - 4K, 16 Rays Per Pixelblender: Barbershop - CPU-Onlym-queens: Time To Solveospray: XFrog Forest - Path Tracerblender: Pabellon Barcelona - CPU-Onlyprimesieve: 1e12 Prime Number Generationblender: Classroom - CPU-Onlygraphics-magick: Enhancedospray: San Miguel - Path Tracerluxcorerender: Rainbow Colors and Prismluxcorerender: DLSCblender: Fishy Cat - CPU-Onlyospray: Magnetic Reconnection - SciVisblender: BMW27 - CPU-Onlygraphics-magick: Swirlsvt-hevc: 1080p 8-bit YUV To HEVC Video Encodenamd: ATPase Simulation - 327,506 Atomsastcenc: Exhaustiveonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUpovray: Trace Timemkl-dnn: Deconvolution Batch deconv_1d - f32appleseed: Disney Materialonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUastcenc: Thoroughsvt-av1: Enc Mode 4 - 1080ptensorflow-lite: Inception ResNet V2mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32onednn: Deconvolution Batch deconv_1d - f32 - CPUtensorflow-lite: Inception V4onednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUappleseed: Emilygraphics-magick: Resizinglammps: 20k Atomsbuild-linux-kernel: Time To Compileyafaray: Total Time For Sample Scenebuild-mplayer: Time To Compilebasis: UASTC Level 3asmfish: 1024 Hash Memory, 26 Depthtensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quantnumenta-nab: Earthgecko Skylinenumenta-nab: Windowed Gaussianbrl-cad: VGR Performance Metricx264: H.264 Video Encodingembree: Pathtracer ISPC - Asian Dragonredis: LPOPembree: Pathtracer ISPC - Asian Dragon Objbuild-ffmpeg: Time To Compileembree: Pathtracer - Asian Dragonbasis: UASTC Level 2mkl-dnn: IP Batch 1D - u8s8f32mlpack: scikit_linearridgeregressionnumenta-nab: Relative Entropyembree: Pathtracer - Asian Dragon Objappleseed: Material Testeroidn: Memorialonednn: IP Batch 1D - u8s8f32 - CPUbuild-llvm: Time To Compileincompact3d: Cylindergraphics-magick: Noise-Gaussianffmpeg: H.264 HD To NTSC DVonednn: Deconvolution Batch deconv_3d - f32 - CPUmkl-dnn: Deconvolution Batch deconv_3d - f32kvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Slowsvt-vp9: Visual Quality Optimized - Bosphorus 1080pmkl-dnn: Recurrent Neural Network Inference - f32kvazaar: Bosphorus 4K - Very Fastonednn: Recurrent Neural Network Training - f32 - CPUsunflow: Global Illumination + Image Synthesismkl-dnn: Recurrent Neural Network Training - f32x265: Bosphorus 4Kttsiod-renderer: Phong Rendering With Soft-Shadow Mappingkvazaar: Bosphorus 4K - Ultra Fastbuild-imagemagick: Time To Compileavifenc: 0avifenc: 2plaidml: No - Inference - VGG16 - CPUkvazaar: Bosphorus 1080p - Mediumsvt-vp9: VMAF Optimized - Bosphorus 1080pkvazaar: Bosphorus 1080p - Slowncnn: CPU-v3-v3 - mobilenet-v3onednn: IP Batch All - f32 - CPUgromacs: Water Benchmarksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pmkl-dnn: IP Batch All - f32tensorflow-lite: NASNet Mobilencnn: CPU - mnasnetmnn: SqueezeNetV1.0ncnn: CPU-v2-v2 - mobilenet-v2ocrmypdf: Processing 60 Page PDF Documentgmic: 2D Function Plotting, 1000 Timesbuild-php: Time To Compileneat: onednn: Recurrent Neural Network Inference - f32 - CPUcp2k: Fayalite-FIST Dataonednn: IP Batch 1D - f32 - CPUmkl-dnn: IP Batch 1D - f32selenium: Basemark - Firefoxmnn: mobilenet-v1-1.0numenta-nab: Bayesian Changepointmnn: MobileNetV2_224openvkl: vklBenchmarkStructuredVolumeastcenc: Mediumkvazaar: Bosphorus 1080p - Ultra Fastcloverleaf: Lagrangian-Eulerian Hydrodynamicsdav1d: Summer Nature 4Kbuild-gcc: Time To Compileecp-candle: P3B2ncnn: CPU - efficientnet-b0openvkl: vklBenchmarkVdbVolumeneatbench: libgav1: Chimera 1080pkvazaar: Bosphorus 1080p - Very Fastgraphics-magick: HWB Color Spacedaphne: OpenMP - Points2Imagersvg: SVG Files To PNGmnn: inception-v3darktable: Masskrug - CPU-onlyonednn: Convolution Batch Shapes Auto - f32 - CPUx265: Bosphorus 1080pbuild-gdb: Time To Compiledav1d: Chimera 1080pastcenc: Fastlibgav1: Chimera 1080p 10-bitncnn: CPU - googlenetavifenc: 8mafft: Multiple Sequence Alignment - LSU RNAdav1d: Summer Nature 1080plibgav1: Summer Nature 4Kselenium: CanvasMark - Firefoxncnn: CPU - alexnetrawtherapee: Total Benchmark Timedeepspeech: CPUgimp: unsharp-maskbasis: UASTC Level 0basis: ETC1Sncnn: CPU - resnet50svt-av1: Enc Mode 0 - 1080pavifenc: 10lczero: BLASnumenta-nab: EXPoSEminife: Smallrbenchmark: tesseract-ocr: Time To OCR 7 Imagesecp-candle: P3B1scikit-learn: darktable: Server Rack - CPU-onlyaom-av1: Speed 0 Two-Passdaphne: OpenMP - Euclidean Clusterlibgav1: Summer Nature 1080pmocassin: Dust 2D tau100.0ncnn: CPU - yolov4-tinyncnn: CPU - squeezenetbuild-apache: Time To Compilefftw: Stock - 2D FFT Size 32ecp-candle: P1B2plaidml: No - Inference - ResNet 50 - CPUmnn: resnet-v2-50darktable: Server Room - CPU-onlyselenium: WebXPRT - Firefoxbotan: CAST-256pyperformance: python_startupdaphne: OpenMP - NDT Mappingcaffe: AlexNet - CPU - 200libraw: Post-Processing Benchmarkfftw: Float + SSE - 2D FFT Size 32caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 1000dav1d: Chimera 1080p 10-bithimeno: Poisson Pressure Solverdarktable: Boat - CPU-onlygimp: resizemlpack: scikit_icacaffe: GoogleNet - CPU - 200caffe: GoogleNet - CPU - 100fftw: Float + SSE - 2D FFT Size 4096luajit: Jacobi Successive Over-Relaxationmrbayes: Primate Phylogeny Analysiscaffe: GoogleNet - CPU - 1000vpxenc: Speed 5selenium: StyleBench - Firefoxgraphics-magick: Rotateredis: GEThugin: Panorama Photo Assistant + Stitching Timehmmer: Pfam Database Searchluajit: Fast Fourier Transformbotan: AES-256aobench: 2048 x 2048 - Total Timencnn: Vulkan GPU - vgg16gimp: auto-levelsselenium: Basemark - Google Chromeluajit: Compositefftw: Float + SSE - 1D FFT Size 4096encode-ogg: WAV To Oggbotan: Twofishpyperformance: json_loadstscp: AI Chess Performancebotan: KASUMIsqlite-speedtest: Timed Time - Size 1,000fftw: Float + SSE - 1D FFT Size 32ncnn: Vulkan GPU - yolov4-tinyluajit: Dense LU Matrix Factorizationluajit: Monte Carloencode-mp3: WAV To MP3webp: Defaultselenium: MotionMark - Google Chromepybench: Total For Average Test Timeswebp: Quality 100, Losslessmlpack: scikit_qdaswet: Averagegegl: Wavelet Blurluajit: Sparse Matrix Multiplyncnn: Vulkan GPU - efficientnet-b0gmic: Plotting Isosurface Of A 3D Volume, 1000 Timesredis: LPUSHgegl: Tile Glassselenium: ARES-6 - Google Chromernnoise: tnn: CPU - SqueezeNet v1.1fftw: Stock - 1D FFT Size 4096pyperformance: chaosnumpy: botan: Blowfishselenium: WebXPRT - Google Chromencnn: Vulkan GPU - squeezenetradiance: Serialaom-av1: Speed 6 Two-Passaom-av1: Speed 4 Two-Passfftw: Stock - 2D FFT Size 4096gimp: rotatencnn: CPU - resnet18dcraw: RAW To PPM Image Conversionvpxenc: Speed 0crafty: Elapsed Timetjbench: webp: Quality 100, Highest Compressionredis: SETredis: SADDncnn: Vulkan GPU - mnasnetbyte: Dhrystone 2gegl: Cropfftw: Stock - 1D FFT Size 32gegl: Cartoongegl: Rotate 90 Degreespyperformance: regex_compilewebp: Quality 100ncnn: Vulkan GPU - alexnetpyperformance: crypto_pyaesncnn: Vulkan GPU - mobilenetpyperformance: raytracepyperformance: pathlibselenium: Octane - Google Chromeradiance: SMP Parallelselenium: WASM imageConvolute - Google Chromencnn: CPU - vgg16openvkl: vklBenchmarkUnstructuredVolumeaom-av1: Speed 6 Realtimepyperformance: floatncnn: Vulkan GPU - shufflenet-v2selenium: Jetstream - Firefoxwebp: Quality 100, Lossless, Highest Compressionselenium: Octane - Firefoxselenium: WASM collisionDetection - Google Chromeselenium: ARES-6 - Firefoxncnn: Vulkan GPU - resnet50pyperformance: 2to3pyperformance: pickle_pure_pythonselenium: WASM collisionDetection - Firefoxgegl: Color Enhanceselenium: Maze Solver - Firefoxpyperformance: nbodyselenium: StyleBench - Google Chromeyquake2: OpenGL 1.x - 1920 x 1080pyperformance: django_templategegl: Antialiasdolfyn: Computational Fluid Dynamicsmlpack: scikit_svmselenium: Kraken - Google Chrometnn: CPU - MobileNet v2selenium: Jetstream - Google Chromepyperformance: goncnn: Vulkan GPU - resnet18basis: UASTC Level 2 + RDO Post-Processinggegl: Scaleselenium: Speedometer - Firefoxoptcarrot: Optimized Benchmarkselenium: Jetstream 2 - Firefoxselenium: Jetstream 2 - Google Chromegmic: 3D Elevated Function In Rand Colors, 100 Timesgegl: Reflectncnn: Vulkan GPU-v3-v3 - mobilenet-v3selenium: Speedometer - Google Chromeoctave-benchmark: aom-av1: Speed 8 Realtimencnn: Vulkan GPU - googlenetselenium: Kraken - Firefoxselenium: WASM imageConvolute - Firefoxncnn: Vulkan GPU - blazefaceyquake2: Software CPU - 1920 x 1080unigine-super: 1920 x 1080 - Fullscreen - Medium - OpenGLyquake2: OpenGL 3.x - 1920 x 1080unigine-heaven: 1920 x 1080 - Fullscreen - OpenGLunigine-super: 1920 x 1080 - Fullscreen - Low - OpenGLselenium: Maze Solver - Google Chromenwchem: C240 Buckyballjohn-the-ripper: Blowfishopencv: DNN - Deep Neural Networkselenium: CanvasMark - Google Chromeselenium: MotionMark - Firefoxncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: CPU - blazefacencnn: CPU - mobilenetlibreoffice: 20 Documents To PDFespeak: Text-To-Speech Synthesisencode-flac: WAV To FLAConednn: Convolution Batch Shapes Auto - u8s8f32 - CPUlammps: Rhodopsin ProteinRyzen 9 5900XRyzen 9 5900XaRyzen 5 5600XAMD 5600X5600X 2aRyzen 7 5800XAMD Ryzen 7 5800X10.5564540.787492844.792898.0993023.814333.33235.0824.803.9242.99913.537161660.601104.766.2764.5319.98917.3633724.21807667264351766.6854.342933.3313.4189459750585.37282.16352.51519.412940.298381.3640.8402.37314.8613.442288.773331.963.032.90128.7817.4898.4390989.731.31139127.101.3629128.3692.87072147.8737842.8077615.825.32116969031.846622.8511718848631.87012231.015901158610.48253.39884.02723.04835.0324644782712994888452.896889.372.5847.639197622157.2020.595618.168732.96420.174818.9281.069672.6712.86918.3360138.82249511.541.06549429.202233.3587593796.2574.849334.885658.428.23202.6120.402123.06181.8450.679178.59222.73866.15140.2220.09258.73135.68117.8031.08217.1430.134.1248.32611.259225.1749.60791280863.876.2554.2713.954110.59542.54910.52030.7566678.2623.205653.84039729.485.85023.6883.11879672506.4504515.95129.183.80223.16716.136568.0625.2318779249.00000027.258.4968.92104330203.97390249220.95027.7825.69616.032570.2682.806638.644.4025.4412.664.3127.564606.8628.111410513.4746.59958.7244912.2805.49137.80423.720.1604.118543601.0754262.620.120419.2581191.5287.5190.1860.421444.1692.2818521.3512.5718.0821389136.93411.2227.8395.638280176.3306.26912.987702852.935801937784387389125.755322.16418313.0306.22840.6119586297659309862429.5658.79297761430.6898.6104535.82399.272513.467492.93128.52614.009.8101588.571913.98702314.244466.07517.51934476111.83242.675219546.704381.09581.005.8151.118865.4771813.24560.29109290108946.1521664.7810.1015.65722.56415.2415.556211.7641152982.4507.20563.2823244.88443.5015.173.297533.79.20313.0635.4969.3911262069263.6385615.6112.7254164885.06.6341312571.33530.5181241.7605.1578.34.9034912.969991140.8925.027060.172335977.209253424.9782.42.22240.9727.74139847262.14235.696.82237319299.942.9684.391.443.835.128.51113.66017.14596.4218.340320.011892.43482.5994.461108.9165.70113.037183.89341.86223.5733.64164.05.30452.525.60674.324.50.85411128.329864366931191144.622.511.5712.305.69424.2556.57917.163410.306238.9780112360.96396418980250.3106061015.412122.31356383.41323.0671382.134166.67123.8612.822.1822.59825.577432516.09655.6011.8722.4010.673613.7561996.896806414105943.57101.672917.8624.7487248814012.894152.7951.35610.458174.590705.7875.1361.29580.5624.749533.311811.071.641.57236.439.49180.5450349.382.38200230.112.4693751.1125.17054265.6384345.0342628.282.98030020273.250215.0262833269133.28836403.9063959156.01693.608147.19340.13460.92726853014224590152706167078124.84713.02311730593.5812.081710.795556.01511.962431.8061.785214.4521.51510.9844230.2235166.951.77209708.516384.8828942343.8447.849917.851905.285.18127.8432.221514.68285.2031.049274.61615.23565.67626.3430.66789.55654.27712.0921.08147.9020.543.0169.39150.874156.1071.23701837282.994.9283.2319.59479.01659.18014.58340.8537526.7794.376984.34888915.314.35531.3132.70360724115.8378387.8598.344.56172.35921.532464.0384.3814831168.10606121.549.6255.1585437070.49049243018.29432.5146.80717.795059.2997.733544.625.1522.1911.684.9908.557525.5125.341567815.3353.46051.2344110.7316.27143.05525.080.1424.661585534.8864741.560.133217.7781073.7738.3430.1680.391308.2384.5820320.1712.2119.8381268634.07910.2625.8496.111294166.1136.05985.157307749.456028936461364583117.625137.34850012.2536.64843.1518449592008294312290.2655.37692337632.68101102838.05693.451491.017077.91929.02213.279.5211614.161840.15682574.386444.00818.01860975106.42643.464209026.394234.70565.666.0081.136836.9675213.39563.01106174864644.8871619.159.6715.98421.89314.9116.114219.1351114884.8497.84543.0743124.70446.8495.003.177351.39.11812.8536.1809.7311197213256.5866125.6202.6954591384.16.4361277970.00631.2321261.7904.9979.74.7535813.270368136.65525.116861.442402654.479495324.5784.82.16239.8827.87739786264.490035.506.66241324303.342.6914.389.942.8035.628.56113.59417.27609.3213.813322.631912.39488.5944.403107.8163.17112.888185.51942.00523.7713.58162.25.27352.215.53669.724.80.844.015891520226384109.052.400.9813.375.61722.8556.79514.23715.878953.713032.35769382.941323.6551384.054166.67122.8112.882.2222.49025.699732502.93255.2311.8442.4010.632213.8301983.896300314163943.57101.565217.8625.0379246449452.883153.0491.35310.448374.852707.3675.7241.28582.9224.886534.321801.061.661.57237.869.52180.4249849.222.37982230.382.4609951.1055.14685265.9265235.0422428.322.98430052573.264325.0384533260933.27755406.1159389035.97393.552147.18640.17060.99426962257224669152878167308125.05013.13611494092.0212.06043847006.5810.667356.08111.970731.8791.800654.4721.42711.0032231.7151176.931.77052711.414382.0924682313.8447.822447.880815.285.18127.7531.885814.61286.2521.051275.91715.10567.83826.2830.52589.47954.36911.9221.05147.7120.573.0470.20340.872156.3371.29081840253.015.0133.2619.57379.01959.14314.59542.3914505.0644.359904.36310856.514.34331.5662.73460252649.1081087.9099.174.81171.36922.109465.3094.4214918098.22727321.549.3555.1683637032.13874488718.47133.4876.81218.382759.6598.092540.375.1722.1311.704.9528.738528.6925.271590115.4753.38751.1921510.7246.26443.12025.460.1414.608585537.4114755.140.133217.7441079.978.2860.1690.381314.6584.7520420.2012.2419.7791278433.7710.3226.1716.122296163.0376.04985.657293649.166025936441364646117.104957.59123512.2836.64943.1918524692726298852327.7655.14592724332.131019823642818.2537.67293.503494.657087.52429.41313.289.4971605.931868.13693144.449451.40817.81860855106.66043.923213236.384314.20570.486.0621.153825.7873813.52562.50105460557444.8621633.559.7016.3392219356.1721.90815.1616.213218.4761126185.7503.07543.2363134.72444.1424.983.177505.39.12812.9036.5719.7111015320255.4862825.5712661315.253000656.902.7154024585.76.4261271170.01131.2491281.7984.9979.04.7536013.170507137.55925.502361.962405173.753943224.3984.52.19240.2328.08539995263.766835.366.66241327302.742.7434.389.543.20839.935.928.59113.67617.16608.9213.740322.601932.39485.3264.464108162.43113.978184.42542.03123.7363.62162.35.23152.215.53666.524.80.84176.557992.293.4195106.14.015846560026628105.382.610.9813.255.80422.6676.75914.79175.88711.1867172.36502539.341838.9481920.479200165.2516.852.0532.21520.975642027.09673.519.1333.0713.720010.8152543.41232000182331214.5779.676222.7320.3825311123833.705121.3711.72313.430758.337545.9559.3921.63457.3519.472420.342321.362.102.03186.6712.20142.5564063.021.89800182.231.9208040.3323.77215210.0002493.8761522.103.82722824932.551143.6335325257302.57058323.99269311577.22374.305117.60832.44548.9723383226017484611693712822394.0319.657150711109.2315.20012257913.6713.531545.78115.255725.7541.396233.3716.36213.7254184.4389178.671.37249587.91345.5633652826.1385.485885.543106.466.32132.7525.802918.08203.0430.803204.51014.78720.41232.3526.12574.49845.15214.8728.30159.1527.602.8359.05000.958168.7161.07141454832.734.5033.0416.42485.47150.90612.57038.0433696.0063.191493.21714987.074.42428.9352.38871378988.7387396.93122.604.75195.64817.254441.4344.1316914302.09090924.962.2666.1393335913.17513403517.10729.8226.24418.460862.4488.746621.334.7325.9711.324.5948.682565.1629.111620014.4750.39555.6511810.8455.85940.11122.690.1524.298614572.7474304.070.120817.3451159.4967.6450.1770.411377.5792.8419719.8411.9818.6161306633.89710.8926.1665.803304175.0965.81923.157157351.246239135522362242122.185167.36604013.1316.20540.3818405291741309152442.2358.15591770332.4010510413425847.536.33694.394520.057476.30127.82313.269.3161673.831938.72713174.230466.88418.41955903111.77441.813219136.434446.07593.885.7741.107865.1874713.00360.57110032486944.1641691.399.7015.8922252973.321.63314.6215.683210.3551161183.3517.61564.2403164.71430.3715.143.287629.08.87713.3235.2899.6411413403264.7105355.5172755332.173106298.52.6355228772.66.4371306269.22830.4101261.759579.64.7535213.072165138.18624.756761.542385407.416403825.0582.92.16246.2727.37440830257.762534.806.65235321299.441.9794.289.342.93859.535.327.97713.37516.92597.5215.319326.561892.39480.0964.375108162.85113.846187.40941.43523.3653.60164.95.23653.035.52665.824.60.84178.056.9993.293.3392106.1419527393326970124.982.491.0512.445.47024.2976.41416.29057.07611.1720082.45232540.621839.2151919.495200163.9416.912.0532.26121.009442083.54673.839.2133.0613.740810.8232542.41225333180341214.5679.356722.7320.6737315003163.724121.5411.74313.377558.192547.4059.3791.63457.0719.562420.732301.362.102.01186.7412.20142.6063162.751.89325181.731.9314540.3913.75694210.1130993.9030622.053.83622763232.546713.6502225190232.58455325.30412911367.07175.166117.33332.42848.8203390657517438111665112791694.6849.791150133108.8715.05182296121.5013.571845.90615.070225.7551.400243.4116.18413.7758183.6375358.641.38500582.564345.8517562836.0795.519105.550116.446.31133.1125.758618.02205.1740.821203.88514.90716.64332.1526.21074.30544.9414.7928.23157.7527.472.8159.93300.960167.4661.08101466912.734.4233.0316.44385.64650.71112.60538.8089677.0063.244403.23041907.144.45828.8052.34371968735.7747756.90122.684.97194.21817.324442.5084.0716975644.96212124.862.2565.7791436182.32687296217.20828.5086.25519.031162.3288.979620.244.6925.9410.894.5868.708568.5328.961624414.4250.28155.6440210.8615.93540.43822.340.1504.328598573.8394311.710.119617.5921162.1247.6130.1760.41387.7993.3419719.3911.4518.6681318533.91510.7325.6285.805303171.6805.79930.107152751.066133535162360513122.885213.07944913.1056.25040.3118346291489313982433.1458.49191795732.271049933490511.0036.46394.528512.517327.73128.20013.269.3021657.071911.93677514.305455.21317.81913765109.51342.386215746.434375.36578.595.8331.100854.1874312.91560.25110233633344.1661660.049.6715.7982315362.5021.68014.7315.706212.0651147284.0513.38551.5253194.74430.8515.133.257568.68.89213.0835.4159.6511404047264.5580625.4282742897.583074202.832.6655847496.46.4241306469.08630.2721261.742580.84.7735212.871611137.9524.907361.342388782.558359625.1183.32.18245.3027.36140635259.099334.876.67235322296.041.9374.390.143.69850.335.227.95513.38816.90598.8215.644326.811902.38478.5694.373110164.72115.160186.85141.30323.4603.60164.45.22153.045.56664.824.50.85177.157.0991.793.3479106.1420216401928756121.232.410.9911.865.57624.1756.85317.81166.802OpenBenchmarking.org

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000SE +/- 4.82, N = 3SE +/- 0.01, N = 3SE +/- 13.77, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3953.7111.171015.4111.1910.561. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000Min: 948.02 / Avg: 953.71 / Max: 963.29Min: 11.16 / Avg: 11.17 / Max: 11.19Min: 998.76 / Avg: 1015.41 / Max: 1042.73Min: 11.18 / Avg: 11.19 / Max: 11.19Min: 10.54 / Avg: 10.56 / Max: 10.561. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.55181.10361.65542.20722.759SE +/- 0.002421, N = 3SE +/- 0.004608, N = 3SE +/- 0.007777, N = 3SE +/- 0.007526, N = 3SE +/- 0.004283, N = 32.3576902.4523202.3135602.3650200.787492MIN: 2.27MIN: 2.36MIN: 2.23MIN: 2.26MIN: 0.761. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.35 / Avg: 2.36 / Max: 2.36Min: 2.44 / Avg: 2.45 / Max: 2.46Min: 2.3 / Avg: 2.31 / Max: 2.33Min: 2.35 / Avg: 2.37 / Max: 2.38Min: 0.78 / Avg: 0.79 / Max: 0.791. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 3.8AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000382.94540.62383.40539.34844.791. (CXX) g++ options: -fopenmp -fomit-frame-pointer -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -march=native -O3 -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: leblancbigAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X6001200180024003000SE +/- 0.54, N = 3SE +/- 0.54, N = 3SE +/- 0.25, N = 3SE +/- 0.18, N = 3SE +/- 0.39, N = 31323.661839.221323.071838.952898.101. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X5001000150020002500Min: 1322.6 / Avg: 1323.65 / Max: 1324.35Min: 1838.21 / Avg: 1839.22 / Max: 1840.06Min: 1322.57 / Avg: 1323.07 / Max: 1323.4Min: 1838.66 / Avg: 1838.95 / Max: 1839.27Min: 2897.54 / Avg: 2898.1 / Max: 2898.851. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X6001200180024003000SE +/- 0.47, N = 3SE +/- 0.20, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 1.06, N = 31384.051919.501382.131920.483023.811. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X5001000150020002500Min: 1383.46 / Avg: 1384.05 / Max: 1384.99Min: 1919.14 / Avg: 1919.5 / Max: 1919.83Min: 1382.1 / Avg: 1382.13 / Max: 1382.16Min: 1920.28 / Avg: 1920.48 / Max: 1920.84Min: 3021.99 / Avg: 3023.81 / Max: 3025.661. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X70140210280350SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12166.67200.00166.67200.00333.33MIN: 142.86 / MAX: 200MIN: 166.67 / MAX: 250MIN: 142.86 / MAX: 200MIN: 166.67 / MAX: 250MIN: 250
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300Min: 166.67 / Avg: 166.67 / Max: 166.67Min: 166.67 / Avg: 166.67 / Max: 166.67Min: 333.33 / Avg: 333.33 / Max: 333.33

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5900Xa50100150200250SE +/- 1.07, N = 3SE +/- 0.37, N = 3SE +/- 1.14, N = 3SE +/- 0.17, N = 3SE +/- 0.22, N = 3SE +/- 0.79, N = 3122.81163.94123.86165.25235.08238.97MIN: 1 / MAX: 498MIN: 1 / MAX: 647MIN: 1 / MAX: 500MIN: 1 / MAX: 654MIN: 1 / MAX: 916MIN: 1 / MAX: 927
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5900Xa4080120160200Min: 121.42 / Avg: 122.81 / Max: 124.92Min: 163.25 / Avg: 163.94 / Max: 164.5Min: 121.58 / Avg: 123.86 / Max: 125.08Min: 164.92 / Avg: 165.25 / Max: 165.5Min: 234.67 / Avg: 235.08 / Max: 235.42Min: 237.58 / Avg: 238.97 / Max: 240.33

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: SciVisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.06, N = 3SE +/- 0.04, N = 8SE +/- 0.00, N = 15SE +/- 0.09, N = 3SE +/- 0.20, N = 312.8816.9112.8216.8524.80MIN: 12.66 / MAX: 13.7MIN: 16.39 / MAX: 17.86MIN: 12.5 / MAX: 13.7MIN: 16.39 / MAX: 17.86MIN: 22.73 / MAX: 26.32
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 12.82 / Avg: 12.88 / Max: 12.99Min: 16.67 / Avg: 16.91 / Max: 16.95Min: 12.82 / Avg: 12.82 / Max: 12.82Min: 16.67 / Avg: 16.85 / Max: 16.95Min: 24.39 / Avg: 24.8 / Max: 25

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-v2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.8821.7642.6463.5284.41SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.222.052.182.053.92MIN: 2.18 / MAX: 3.09MIN: 2 / MAX: 2.71MIN: 2.16 / MAX: 2.63MIN: 2 / MAX: 2.89MIN: 3.84 / MAX: 4.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.21 / Avg: 2.22 / Max: 2.23Min: 2.02 / Avg: 2.05 / Max: 2.08Min: 2.17 / Avg: 2.18 / Max: 2.19Min: 2.02 / Avg: 2.05 / Max: 2.09Min: 3.89 / Avg: 3.92 / Max: 3.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1020304050SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 322.4932.2622.6032.2243.001. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645Min: 22.37 / Avg: 22.49 / Max: 22.66Min: 32.12 / Avg: 32.26 / Max: 32.37Min: 22.48 / Avg: 22.6 / Max: 22.66Min: 32.09 / Avg: 32.22 / Max: 32.38Min: 42.64 / Avg: 43 / Max: 43.211. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: u8s8f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 325.7021.0125.5820.9813.54MIN: 25.15MIN: 19.92MIN: 25.07MIN: 19.96MIN: 13.21. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: u8s8f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 25.66 / Avg: 25.7 / Max: 25.73Min: 20.88 / Avg: 21.01 / Max: 21.1Min: 25.56 / Avg: 25.58 / Max: 25.59Min: 20.87 / Avg: 20.98 / Max: 21.08Min: 13.49 / Avg: 13.54 / Max: 13.571. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Aircrack-ng

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

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X13K26K39K52K65KSE +/- 43.34, N = 3SE +/- 191.78, N = 3SE +/- 41.35, N = 3SE +/- 202.07, N = 3SE +/- 388.66, N = 332502.9342083.5532516.1042027.1061660.601. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X11K22K33K44K55KMin: 32416.53 / Avg: 32502.93 / Max: 32552.03Min: 41825.35 / Avg: 42083.55 / Max: 42458.28Min: 32458.04 / Avg: 32516.1 / Max: 32596.12Min: 41792.08 / Avg: 42027.1 / Max: 42429.34Min: 61024.23 / Avg: 61660.6 / Max: 62365.371. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

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 SceneAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 355.2373.8355.6073.51104.76
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 54.77 / Avg: 55.23 / Max: 55.64Min: 73.78 / Avg: 73.83 / Max: 73.92Min: 55.43 / Avg: 55.6 / Max: 55.74Min: 73.31 / Avg: 73.51 / Max: 73.64Min: 104.47 / Avg: 104.76 / Max: 104.95

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 SamplesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.009, N = 3SE +/- 0.041, N = 3SE +/- 0.035, N = 3SE +/- 0.010, N = 3SE +/- 0.023, N = 311.8449.21311.8729.1336.2761. (CXX) g++ options: -fopenmp -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 11.83 / Avg: 11.84 / Max: 11.86Min: 9.14 / Avg: 9.21 / Max: 9.28Min: 11.81 / Avg: 11.87 / Max: 11.93Min: 9.12 / Avg: 9.13 / Max: 9.15Min: 6.23 / Avg: 6.28 / Max: 6.311. (CXX) g++ options: -fopenmp -O3

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: SciVisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.01932.03863.05794.07725.0965SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 32.403.062.403.074.53MIN: 2.38 / MAX: 2.43MIN: 3.02 / MAX: 3.16MIN: 2.39 / MAX: 2.43MIN: 3.04 / MAX: 3.16MIN: 4.41 / MAX: 4.65
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.39 / Avg: 2.4 / Max: 2.41Min: 3.05 / Avg: 3.06 / Max: 3.09Min: 2.4 / Avg: 2.4 / Max: 2.4Min: 3.07 / Avg: 3.07 / Max: 3.09Min: 4.48 / Avg: 4.53 / Max: 4.59

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: CrownAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 310.6313.7410.6713.7219.99MIN: 10.39 / MAX: 10.91MIN: 13.54 / MAX: 14.29MIN: 10.53 / MAX: 10.88MIN: 13.58 / MAX: 14.09MIN: 19.51 / MAX: 20.68
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 10.44 / Avg: 10.63 / Max: 10.74Min: 13.63 / Avg: 13.74 / Max: 13.9Min: 10.59 / Avg: 10.67 / Max: 10.73Min: 13.7 / Avg: 13.72 / Max: 13.74Min: 19.72 / Avg: 19.99 / Max: 20.22

N-Queens

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

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 313.83010.82313.75610.8157.3631. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 13.83 / Avg: 13.83 / Max: 13.83Min: 10.82 / Avg: 10.82 / Max: 10.82Min: 13.75 / Avg: 13.76 / Max: 13.76Min: 10.81 / Avg: 10.81 / Max: 10.82Min: 7.36 / Avg: 7.36 / Max: 7.371. (CC) gcc options: -static -fopenmp -O3 -march=native

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X8001600240032004000SE +/- 1.19, N = 3SE +/- 7.03, N = 3SE +/- 2.09, N = 3SE +/- 6.65, N = 3SE +/- 17.37, N = 31983.82542.41996.82543.43724.21. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X6001200180024003000Min: 1981.9 / Avg: 1983.83 / Max: 1986Min: 2533.6 / Avg: 2542.4 / Max: 2556.3Min: 1993.4 / Avg: 1996.77 / Max: 2000.6Min: 2534.4 / Avg: 2543.43 / Max: 2556.4Min: 3697.5 / Avg: 3724.2 / Max: 3756.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X400K800K1200K1600K2000KSE +/- 1384.64, N = 3SE +/- 12666.67, N = 3SE +/- 1495.28, N = 3SE +/- 14364.31, N = 3SE +/- 16169.24, N = 39630031225333968064123200018076671. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X300K600K900K1200K1500KMin: 960883 / Avg: 963003 / Max: 965606Min: 1200000 / Avg: 1225333.33 / Max: 1238000Min: 965760 / Avg: 968063.67 / Max: 970867Min: 1205000 / Avg: 1232000 / Max: 1254000Min: 1791000 / Avg: 1807666.67 / Max: 18400001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X6K12K18K24K30KSE +/- 33.91, N = 3SE +/- 74.77, N = 3SE +/- 28.99, N = 3SE +/- 19.88, N = 3SE +/- 231.78, N = 31416318034141051823326435
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X5K10K15K20K25KMin: 14110 / Avg: 14162.67 / Max: 14226Min: 17905 / Avg: 18033.67 / Max: 18164Min: 14052 / Avg: 14104.67 / Max: 14152Min: 18206 / Avg: 18233.33 / Max: 18272Min: 26144 / Avg: 26435 / Max: 26893

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: SharpenAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 1.20, N = 394121941211761. (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: SharpenAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150Min: 120 / Avg: 121 / Max: 122Min: 121 / Avg: 121.33 / Max: 122Min: 174 / Avg: 175.67 / Max: 1781. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 TracerAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.574.563.574.576.68MIN: 3.51 / MAX: 3.62MIN: 4.5 / MAX: 4.69MIN: 3.53 / MAX: 3.64MIN: 4.48 / MAX: 4.67MIN: 6.54 / MAX: 6.9
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 3.56 / Avg: 3.57 / Max: 3.57Min: 4.55 / Avg: 4.56 / Max: 4.57Min: 3.56 / Avg: 3.57 / Max: 3.58Min: 4.55 / Avg: 4.57 / Max: 4.59Min: 6.67 / Avg: 6.68 / Max: 6.71

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.19, N = 3SE +/- 0.45, N = 3SE +/- 0.20, N = 3SE +/- 0.61, N = 3SE +/- 0.43, N = 3101.5779.36101.6779.6854.341. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 101.19 / Avg: 101.57 / Max: 101.8Min: 78.47 / Avg: 79.36 / Max: 79.93Min: 101.32 / Avg: 101.67 / Max: 102.02Min: 78.45 / Avg: 79.68 / Max: 80.3Min: 53.48 / Avg: 54.34 / Max: 54.871. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

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: SciVisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240SE +/- 0.00, N = 12SE +/- 0.00, N = 13SE +/- 0.00, N = 12SE +/- 0.00, N = 13SE +/- 0.00, N = 1217.8622.7317.8622.7333.33MIN: 16.67 / MAX: 18.18MIN: 21.74 / MAX: 23.26MIN: 16.95 / MAX: 18.18MIN: 21.74 / MAX: 23.26MIN: 31.25 / MAX: 34.48
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 17.86 / Avg: 17.86 / Max: 17.86Min: 22.73 / Avg: 22.73 / Max: 22.73Min: 17.86 / Avg: 17.86 / Max: 17.86Min: 22.73 / Avg: 22.73 / Max: 22.73Min: 33.33 / Avg: 33.33 / Max: 33.33

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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 325.0420.6724.7520.3813.42MIN: 24.58MIN: 19.7MIN: 24.3MIN: 19.48MIN: 13.171. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 24.97 / Avg: 25.04 / Max: 25.09Min: 20.64 / Avg: 20.67 / Max: 20.7Min: 24.71 / Avg: 24.75 / Max: 24.83Min: 20.37 / Avg: 20.38 / Max: 20.41Min: 13.39 / Avg: 13.42 / Max: 13.481. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X10M20M30M40M50MSE +/- 198919.28, N = 3SE +/- 46263.13, N = 3SE +/- 76309.10, N = 3SE +/- 186513.01, N = 3SE +/- 191418.48, N = 324644945315003162488140131112383459750581. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X8M16M24M32M40MMin: 24247135 / Avg: 24644944.67 / Max: 24848002Min: 31429553 / Avg: 31500316.33 / Max: 31587324Min: 24738214 / Avg: 24881400.67 / Max: 24998737Min: 30851934 / Avg: 31112383 / Max: 31473878Min: 45592385 / Avg: 45975057.67 / Max: 461761061. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.20872.41743.62614.83486.0435SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.032, N = 32.8833.7242.8943.7055.372
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: SupercarAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.88 / Avg: 2.88 / Max: 2.88Min: 3.7 / Avg: 3.72 / Max: 3.74Min: 2.89 / Avg: 2.89 / Max: 2.9Min: 3.7 / Avg: 3.71 / Max: 3.71Min: 5.32 / Avg: 5.37 / Max: 5.43

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150SE +/- 0.24, N = 3SE +/- 0.33, N = 3SE +/- 0.08, N = 3SE +/- 0.33, N = 3SE +/- 0.69, N = 3153.05121.54152.80121.3782.16MIN: 151.9MIN: 119.69MIN: 151.95MIN: 119.42MIN: 80.231. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150Min: 152.66 / Avg: 153.05 / Max: 153.5Min: 120.94 / Avg: 121.54 / Max: 122.09Min: 152.65 / Avg: 152.79 / Max: 152.93Min: 120.87 / Avg: 121.37 / Max: 121.99Min: 81.31 / Avg: 82.16 / Max: 83.521. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

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: BedroomAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.56591.13181.69772.26362.8295SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.000, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 31.3531.7431.3561.7232.515
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: BedroomAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 1.35 / Avg: 1.35 / Max: 1.36Min: 1.74 / Avg: 1.74 / Max: 1.75Min: 1.36 / Avg: 1.36 / Max: 1.36Min: 1.71 / Avg: 1.72 / Max: 1.74Min: 2.51 / Avg: 2.52 / Max: 2.52

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 310.4513.3810.4613.4319.41MIN: 10.33 / MAX: 10.68MIN: 13.18 / MAX: 13.87MIN: 9.84 / MAX: 10.7MIN: 13.32 / MAX: 13.82MIN: 19.13 / MAX: 20.17
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 10.39 / Avg: 10.45 / Max: 10.54Min: 13.27 / Avg: 13.38 / Max: 13.47Min: 10.38 / Avg: 10.46 / Max: 10.53Min: 13.41 / Avg: 13.43 / Max: 13.45Min: 19.33 / Avg: 19.41 / Max: 19.54

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.23, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 374.8558.1974.5958.3440.301. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1428425670Min: 74.5 / Avg: 74.85 / Max: 75.28Min: 57.7 / Avg: 58.19 / Max: 58.46Min: 74.51 / Avg: 74.59 / Max: 74.67Min: 57.87 / Avg: 58.34 / Max: 58.58Min: 40.04 / Avg: 40.3 / Max: 40.441. (CC) gcc options: -lm -lpthread -O3

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X150300450600750SE +/- 0.94, N = 3SE +/- 0.28, N = 3SE +/- 0.25, N = 3SE +/- 0.23, N = 3SE +/- 0.46, N = 3707.36547.40705.78545.95381.36
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X120240360480600Min: 705.9 / Avg: 707.36 / Max: 709.11Min: 546.9 / Avg: 547.4 / Max: 547.85Min: 705.35 / Avg: 705.78 / Max: 706.23Min: 545.52 / Avg: 545.95 / Max: 546.3Min: 380.45 / Avg: 381.36 / Max: 381.86

m-queens

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

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 375.7259.3875.1459.3940.841. (CXX) g++ options: -fopenmp -O2 -march=native
OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1530456075Min: 75.7 / Avg: 75.72 / Max: 75.75Min: 59.27 / Avg: 59.38 / Max: 59.45Min: 75.12 / Avg: 75.14 / Max: 75.16Min: 59.24 / Avg: 59.39 / Max: 59.51Min: 40.59 / Avg: 40.84 / Max: 41.041. (CXX) g++ options: -fopenmp -O2 -march=native

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.53331.06661.59992.13322.6665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.281.631.291.632.37MIN: 1.27 / MAX: 1.29MIN: 1.61 / MAX: 1.67MIN: 1.28 / MAX: 1.3MIN: 1.62 / MAX: 1.67MIN: 2.33 / MAX: 2.47
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 1.28 / Avg: 1.28 / Max: 1.28Min: 1.62 / Avg: 1.63 / Max: 1.63Min: 1.28 / Avg: 1.29 / Max: 1.29Min: 1.63 / Avg: 1.63 / Max: 1.64Min: 2.36 / Avg: 2.37 / Max: 2.38

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X130260390520650SE +/- 0.19, N = 3SE +/- 0.27, N = 3SE +/- 0.60, N = 3SE +/- 0.22, N = 3SE +/- 0.41, N = 3582.92457.07580.56457.35314.86
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X100200300400500Min: 582.55 / Avg: 582.92 / Max: 583.17Min: 456.75 / Avg: 457.07 / Max: 457.6Min: 579.78 / Avg: 580.56 / Max: 581.75Min: 457.02 / Avg: 457.35 / Max: 457.78Min: 314.14 / Avg: 314.86 / Max: 315.57

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 7.41e12 Prime Number GenerationAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 324.8919.5624.7519.4713.441. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 7.41e12 Prime Number GenerationAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 24.73 / Avg: 24.89 / Max: 24.98Min: 19.51 / Avg: 19.56 / Max: 19.63Min: 24.73 / Avg: 24.75 / Max: 24.79Min: 19.36 / Avg: 19.47 / Max: 19.54Min: 13.37 / Avg: 13.44 / Max: 13.491. (CXX) g++ options: -O3 -lpthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X120240360480600SE +/- 1.19, N = 3SE +/- 0.60, N = 3SE +/- 0.45, N = 3SE +/- 0.64, N = 3SE +/- 0.96, N = 3534.32420.73533.31420.34288.77
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X90180270360450Min: 533.11 / Avg: 534.32 / Max: 536.69Min: 419.86 / Avg: 420.73 / Max: 421.89Min: 532.7 / Avg: 533.31 / Max: 534.18Min: 419.09 / Avg: 420.34 / Max: 421.21Min: 286.89 / Avg: 288.77 / Max: 290.01

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X70140210280350SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 31802301812323331. (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: EnhancedAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300Min: 180 / Avg: 180.33 / Max: 181Min: 229 / Avg: 230 / Max: 231Min: 332 / Avg: 333.33 / Max: 3351. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.4410.8821.3231.7642.205SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 41.061.361.071.361.96MAX: 1.07MIN: 1.35 / MAX: 1.39MIN: 1.05 / MAX: 1.08MIN: 1.35 / MAX: 1.39MIN: 1.94 / MAX: 2.01
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 1.06 / Avg: 1.06 / Max: 1.07Min: 1.36 / Avg: 1.36 / Max: 1.37Min: 1.06 / Avg: 1.07 / Max: 1.07Min: 1.36 / Avg: 1.36 / Max: 1.36Min: 1.95 / Avg: 1.96 / Max: 1.96

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.68181.36362.04542.72723.409SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.662.101.642.103.03MIN: 1.61 / MAX: 1.71MIN: 2.05 / MAX: 2.18MIN: 1.6 / MAX: 1.69MIN: 2.05 / MAX: 2.17MIN: 2.95 / MAX: 3.15
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 1.65 / Avg: 1.66 / Max: 1.67Min: 2.09 / Avg: 2.1 / Max: 2.11Min: 1.63 / Avg: 1.64 / Max: 1.64Min: 2.1 / Avg: 2.1 / Max: 2.1Min: 3.03 / Avg: 3.03 / Max: 3.04

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.65251.3051.95752.613.2625SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 31.572.011.572.032.90MIN: 1.5 / MAX: 1.62MIN: 1.9 / MAX: 2.13MIN: 1.5 / MAX: 1.6MIN: 1.94 / MAX: 2.1MIN: 2.7 / MAX: 3.16
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 1.56 / Avg: 1.57 / Max: 1.59Min: 1.99 / Avg: 2.01 / Max: 2.05Min: 1.56 / Avg: 1.57 / Max: 1.57Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 2.84 / Avg: 2.9 / Max: 2.96

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3237.86186.74236.43186.67128.78
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 237.83 / Avg: 237.86 / Max: 237.91Min: 186.55 / Avg: 186.74 / Max: 186.96Min: 236.31 / Avg: 236.43 / Max: 236.5Min: 186.42 / Avg: 186.67 / Max: 187.07Min: 128.59 / Avg: 128.78 / Max: 128.91

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.03, N = 3SE +/- 0.00, N = 12SE +/- 0.06, N = 59.5212.209.4912.2017.48MIN: 9.35 / MAX: 9.62MIN: 11.76 / MAX: 12.35MIN: 9.35 / MAX: 9.62MIN: 11.76 / MAX: 12.35MIN: 16.95 / MAX: 17.86
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 9.52 / Avg: 9.52 / Max: 9.52Min: 12.2 / Avg: 12.2 / Max: 12.2Min: 9.43 / Avg: 9.49 / Max: 9.52Min: 12.2 / Avg: 12.2 / Max: 12.2Min: 17.24 / Avg: 17.48 / Max: 17.54

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-OnlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 3180.42142.60180.54142.5598.43
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150Min: 180.28 / Avg: 180.42 / Max: 180.57Min: 142.28 / Avg: 142.6 / Max: 142.78Min: 180.45 / Avg: 180.54 / Max: 180.7Min: 142.18 / Avg: 142.55 / Max: 142.8Min: 97.79 / Avg: 98.43 / Max: 98.79

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: SwirlAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000SE +/- 0.33, N = 3SE +/- 2.73, N = 3SE +/- 0.33, N = 3SE +/- 2.52, N = 3SE +/- 6.77, N = 34986315036409091. (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: SwirlAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X160320480640800Min: 498 / Avg: 498.33 / Max: 499Min: 627 / Avg: 630.67 / Max: 636Min: 503 / Avg: 503.33 / Max: 504Min: 637 / Avg: 640 / Max: 645Min: 900 / Avg: 908.67 / Max: 9221. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 EncodeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 349.2262.7549.3863.0289.731. (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 EncodeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 49.1 / Avg: 49.22 / Max: 49.41Min: 62.46 / Avg: 62.75 / Max: 62.91Min: 49.24 / Avg: 49.38 / Max: 49.54Min: 62.75 / Avg: 63.02 / Max: 63.19Min: 89.38 / Avg: 89.73 / Max: 89.941. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.5361.0721.6082.1442.68SE +/- 0.00069, N = 3SE +/- 0.00414, N = 3SE +/- 0.00091, N = 3SE +/- 0.00235, N = 3SE +/- 0.00505, N = 32.379821.893252.382001.898001.31139
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.38 / Avg: 2.38 / Max: 2.38Min: 1.89 / Avg: 1.89 / Max: 1.9Min: 2.38 / Avg: 2.38 / Max: 2.38Min: 1.89 / Avg: 1.9 / Max: 1.9Min: 1.3 / Avg: 1.31 / Max: 1.32

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 0.19, N = 3230.38181.73230.11182.23127.101. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 230.13 / Avg: 230.38 / Max: 230.56Min: 181.19 / Avg: 181.73 / Max: 182.06Min: 230 / Avg: 230.11 / Max: 230.2Min: 181.76 / Avg: 182.23 / Max: 182.51Min: 126.74 / Avg: 127.1 / Max: 127.411. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.55561.11121.66682.22242.778SE +/- 0.00329, N = 3SE +/- 0.00339, N = 3SE +/- 0.00360, N = 3SE +/- 0.00478, N = 3SE +/- 0.00239, N = 32.460991.931452.469371.920801.36291MIN: 2.39MIN: 1.82MIN: 2.41MIN: 1.81MIN: 1.321. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.45 / Avg: 2.46 / Max: 2.46Min: 1.92 / Avg: 1.93 / Max: 1.94Min: 2.46 / Avg: 2.47 / Max: 2.47Min: 1.91 / Avg: 1.92 / Max: 1.93Min: 1.36 / Avg: 1.36 / Max: 1.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

POV-Ray

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 351.1140.3951.1140.3328.371. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1020304050Min: 51.04 / Avg: 51.11 / Max: 51.2Min: 40.37 / Avg: 40.39 / Max: 40.41Min: 50.98 / Avg: 51.11 / Max: 51.21Min: 40.19 / Avg: 40.33 / Max: 40.47Min: 28.23 / Avg: 28.37 / Max: 28.531. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.16342.32683.49024.65365.817SE +/- 0.00954, N = 3SE +/- 0.00526, N = 3SE +/- 0.00934, N = 3SE +/- 0.01798, N = 3SE +/- 0.00753, N = 35.146853.756945.170543.772152.87072MIN: 5.01MIN: 3.52MIN: 5.05MIN: 3.54MIN: 2.771. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 5.13 / Avg: 5.15 / Max: 5.16Min: 3.75 / Avg: 3.76 / Max: 3.77Min: 5.15 / Avg: 5.17 / Max: 5.19Min: 3.75 / Avg: 3.77 / Max: 3.81Min: 2.86 / Avg: 2.87 / Max: 2.881. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

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 MaterialAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300265.93210.11265.64210.00147.87

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.13452.2693.40354.5385.6725SE +/- 0.00573, N = 3SE +/- 0.01486, N = 3SE +/- 0.00976, N = 3SE +/- 0.01528, N = 3SE +/- 0.00583, N = 35.042243.903065.034263.876152.80776MIN: 4.92MIN: 3.74MIN: 4.92MIN: 3.73MIN: 2.711. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 5.03 / Avg: 5.04 / Max: 5.05Min: 3.87 / Avg: 3.9 / Max: 3.92Min: 5.01 / Avg: 5.03 / Max: 5.04Min: 3.85 / Avg: 3.88 / Max: 3.9Min: 2.8 / Avg: 2.81 / Max: 2.821. (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: ThoroughAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 328.3222.0528.2822.1015.821. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 28.26 / Avg: 28.32 / Max: 28.38Min: 21.87 / Avg: 22.05 / Max: 22.19Min: 28.22 / Avg: 28.28 / Max: 28.33Min: 21.92 / Avg: 22.1 / Max: 22.24Min: 15.73 / Avg: 15.82 / Max: 15.91. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.19722.39443.59164.78885.986SE +/- 0.002, N = 3SE +/- 0.026, N = 3SE +/- 0.005, N = 3SE +/- 0.016, N = 3SE +/- 0.032, N = 32.9843.8362.9803.8275.3211. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.98 / Avg: 2.98 / Max: 2.99Min: 3.81 / Avg: 3.84 / Max: 3.89Min: 2.97 / Avg: 2.98 / Max: 2.99Min: 3.8 / Avg: 3.83 / Max: 3.86Min: 5.27 / Avg: 5.32 / Max: 5.381. (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: Inception ResNet V2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X600K1200K1800K2400K3000KSE +/- 1373.73, N = 3SE +/- 2166.86, N = 3SE +/- 1022.05, N = 3SE +/- 1613.28, N = 3SE +/- 2469.90, N = 330052572276323300202722824931696903
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X500K1000K1500K2000K2500KMin: 3003440 / Avg: 3005256.67 / Max: 3007950Min: 2271990 / Avg: 2276323.33 / Max: 2278540Min: 3000240 / Avg: 3002026.67 / Max: 3003780Min: 2279300 / Avg: 2282493.33 / Max: 2284490Min: 1692020 / Avg: 1696903.33 / Max: 1699990

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.73451.4692.20352.9383.6725SE +/- 0.00118, N = 3SE +/- 0.00712, N = 3SE +/- 0.00225, N = 3SE +/- 0.00601, N = 3SE +/- 0.00154, N = 33.264322.546713.250212.551141.84662MIN: 3.19MIN: 2.39MIN: 3.15MIN: 2.39MIN: 1.781. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 3.26 / Avg: 3.26 / Max: 3.27Min: 2.54 / Avg: 2.55 / Max: 2.56Min: 3.25 / Avg: 3.25 / Max: 3.25Min: 2.54 / Avg: 2.55 / Max: 2.56Min: 1.84 / Avg: 1.85 / Max: 1.851. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.13372.26743.40114.53485.6685SE +/- 0.00571, N = 3SE +/- 0.01576, N = 3SE +/- 0.01608, N = 3SE +/- 0.01452, N = 3SE +/- 0.01686, N = 35.038453.650225.026283.633532.85117MIN: 4.92MIN: 3.45MIN: 4.89MIN: 3.44MIN: 2.721. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 5.03 / Avg: 5.04 / Max: 5.05Min: 3.62 / Avg: 3.65 / Max: 3.67Min: 5.01 / Avg: 5.03 / Max: 5.06Min: 3.61 / Avg: 3.63 / Max: 3.66Min: 2.82 / Avg: 2.85 / Max: 2.881. (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 V4AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X700K1400K2100K2800K3500KSE +/- 242.65, N = 3SE +/- 1983.75, N = 3SE +/- 1479.80, N = 3SE +/- 2017.43, N = 3SE +/- 4101.81, N = 333260932519023332691325257301884863
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X600K1200K1800K2400K3000KMin: 3325630 / Avg: 3326093.33 / Max: 3326450Min: 2515070 / Avg: 2519023.33 / Max: 2521290Min: 3325020 / Avg: 3326913.33 / Max: 3329830Min: 2521770 / Avg: 2525730 / Max: 2528380Min: 1876830 / Avg: 1884863.33 / Max: 1890320

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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.73991.47982.21972.95963.6995SE +/- 0.00369, N = 3SE +/- 0.00300, N = 3SE +/- 0.00315, N = 3SE +/- 0.00276, N = 3SE +/- 0.00364, N = 33.277552.584553.288362.570581.87012MIN: 3.19MIN: 2.46MIN: 3.21MIN: 2.45MIN: 1.81. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 3.27 / Avg: 3.28 / Max: 3.28Min: 2.58 / Avg: 2.58 / Max: 2.59Min: 3.28 / Avg: 3.29 / Max: 3.29Min: 2.57 / Avg: 2.57 / Max: 2.58Min: 1.86 / Avg: 1.87 / Max: 1.881. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X90180270360450406.12325.30403.91323.99231.02

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: ResizingAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30060090012001500SE +/- 1.33, N = 3SE +/- 1.86, N = 3SE +/- 2.08, N = 3SE +/- 6.24, N = 39031136915115715861. (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: ResizingAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30060090012001500Min: 900 / Avg: 902.67 / Max: 904Min: 1134 / Avg: 1136.33 / Max: 1140Min: 1154 / Avg: 1157 / Max: 1161Min: 1577 / Avg: 1586 / Max: 15981. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 29Oct2020Model: 20k AtomsAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.027, N = 3SE +/- 0.003, N = 3SE +/- 0.012, N = 3SE +/- 0.052, N = 3SE +/- 0.011, N = 35.9737.0716.0167.22310.4821. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 5.92 / Avg: 5.97 / Max: 6.01Min: 7.07 / Avg: 7.07 / Max: 7.08Min: 5.99 / Avg: 6.02 / Max: 6.03Min: 7.12 / Avg: 7.22 / Max: 7.29Min: 10.46 / Avg: 10.48 / Max: 10.51. (CXX) g++ options: -O3 -pthread -lm

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 CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.52, N = 3SE +/- 0.28, N = 3SE +/- 0.35, N = 3SE +/- 0.25, N = 3SE +/- 0.49, N = 393.5575.1793.6174.3153.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 93.03 / Avg: 93.55 / Max: 94.59Min: 74.69 / Avg: 75.17 / Max: 75.66Min: 93.25 / Avg: 93.61 / Max: 94.32Min: 73.86 / Avg: 74.31 / Max: 74.72Min: 52.8 / Avg: 53.4 / Max: 54.37

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150SE +/- 0.35, N = 3SE +/- 0.40, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.57, N = 3147.19117.33147.19117.6184.031. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150Min: 146.5 / Avg: 147.19 / Max: 147.62Min: 116.89 / Avg: 117.33 / Max: 118.14Min: 147.08 / Avg: 147.19 / Max: 147.26Min: 117.39 / Avg: 117.61 / Max: 117.96Min: 82.96 / Avg: 84.03 / Max: 84.91. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Timed MPlayer Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 340.1732.4340.1332.4523.05
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240Min: 40.11 / Avg: 40.17 / Max: 40.22Min: 32.3 / Avg: 32.43 / Max: 32.53Min: 40.07 / Avg: 40.13 / Max: 40.18Min: 32.27 / Avg: 32.45 / Max: 32.6Min: 22.89 / Avg: 23.05 / Max: 23.14

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1428425670SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 360.9948.8260.9348.9735.031. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860Min: 60.92 / Avg: 60.99 / Max: 61.04Min: 48.55 / Avg: 48.82 / Max: 48.99Min: 60.87 / Avg: 60.93 / Max: 60.98Min: 48.75 / Avg: 48.97 / Max: 49.17Min: 34.76 / Avg: 35.03 / Max: 35.281. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

asmFish

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

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X10M20M30M40M50MSE +/- 229502.95, N = 3SE +/- 317223.46, N = 9SE +/- 134404.35, N = 3SE +/- 294869.17, N = 3SE +/- 309127.34, N = 32696225733906575268530143383226046447827
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X8M16M24M32M40MMin: 26569783 / Avg: 26962257 / Max: 27364620Min: 32727412 / Avg: 33906574.89 / Max: 35856996Min: 26618428 / Avg: 26853014 / Max: 27083976Min: 33448091 / Avg: 33832260.33 / Max: 34411842Min: 45983643 / Avg: 46447826.67 / Max: 47033584

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50K100K150K200K250KSE +/- 94.08, N = 3SE +/- 190.69, N = 3SE +/- 41.49, N = 3SE +/- 241.45, N = 3SE +/- 352.11, N = 3224669174381224590174846129948
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X40K80K120K160K200KMin: 224532 / Avg: 224668.67 / Max: 224849Min: 174009 / Avg: 174381.33 / Max: 174639Min: 224514 / Avg: 224589.67 / Max: 224657Min: 174369 / Avg: 174845.67 / Max: 175151Min: 129246 / Avg: 129948.33 / Max: 130344

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30K60K90K120K150KSE +/- 27.34, N = 3SE +/- 93.24, N = 3SE +/- 43.56, N = 3SE +/- 161.74, N = 3SE +/- 223.00, N = 3152878.0116651.0152706.0116937.088452.8
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30K60K90K120K150KMin: 152850 / Avg: 152878.33 / Max: 152933Min: 116476 / Avg: 116651.33 / Max: 116794Min: 152642 / Avg: 152705.67 / Max: 152789Min: 116618 / Avg: 116937 / Max: 117143Min: 88006.8 / Avg: 88452.8 / Max: 88676.2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X40K80K120K160K200KSE +/- 8.25, N = 3SE +/- 162.50, N = 3SE +/- 42.78, N = 3SE +/- 154.10, N = 3SE +/- 230.61, N = 3167308.0127916.0167078.0128223.096889.3
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30K60K90K120K150KMin: 167296 / Avg: 167308.33 / Max: 167324Min: 127591 / Avg: 127916 / Max: 128079Min: 166997 / Avg: 167078.33 / Max: 167142Min: 127916 / Avg: 128223.33 / Max: 128397Min: 96429 / Avg: 96889.27 / Max: 97145

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150SE +/- 0.39, N = 3SE +/- 0.99, N = 3SE +/- 0.23, N = 3SE +/- 0.69, N = 3SE +/- 0.34, N = 3125.0594.68124.8594.0372.58
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 124.41 / Avg: 125.05 / Max: 125.77Min: 92.88 / Avg: 94.68 / Max: 96.29Min: 124.52 / Avg: 124.85 / Max: 125.3Min: 92.91 / Avg: 94.03 / Max: 95.3Min: 72.07 / Avg: 72.58 / Max: 73.23

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.036, N = 3SE +/- 0.037, N = 3SE +/- 0.127, N = 3SE +/- 0.086, N = 3SE +/- 0.039, N = 313.1369.79113.0239.6577.639
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 13.09 / Avg: 13.14 / Max: 13.21Min: 9.73 / Avg: 9.79 / Max: 9.86Min: 12.77 / Avg: 13.02 / Max: 13.18Min: 9.55 / Avg: 9.66 / Max: 9.83Min: 7.58 / Avg: 7.64 / Max: 7.71

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X40K80K120K160K200K1149401501331173051507111976221. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

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 EncodingAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150SE +/- 1.03, N = 7SE +/- 1.11, N = 8SE +/- 0.76, N = 13SE +/- 1.20, N = 7SE +/- 1.23, N = 1592.02108.8793.58109.23157.201. (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 EncodingAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150Min: 87.61 / Avg: 92.02 / Max: 93.94Min: 102.83 / Avg: 108.87 / Max: 111.72Min: 86.72 / Avg: 93.58 / Max: 95.26Min: 103.72 / Avg: 109.23 / Max: 111.95Min: 145.38 / Avg: 157.2 / Max: 161.231. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 312.0615.0512.0815.2020.60MIN: 12.01 / MAX: 12.2MIN: 14.44 / MAX: 15.45MIN: 11.94 / MAX: 12.25MIN: 15.1 / MAX: 15.44MIN: 20.29 / MAX: 21.07
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 12.05 / Avg: 12.06 / Max: 12.08Min: 14.75 / Avg: 15.05 / Max: 15.24Min: 12.04 / Avg: 12.08 / Max: 12.14Min: 15.18 / Avg: 15.2 / Max: 15.23Min: 20.4 / Avg: 20.6 / Max: 20.73

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X800K1600K2400K3200K4000KSE +/- 14863.58, N = 3SE +/- 21979.32, N = 3SE +/- 15672.12, N = 33847006.582296121.502257913.671. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X700K1400K2100K2800K3500KMin: 3817282.5 / Avg: 3847006.58 / Max: 3862239.25Min: 2252252.25 / Avg: 2296121.5 / Max: 2320482.75Min: 2237709.25 / Avg: 2257913.67 / Max: 2288768.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 310.6713.5710.8013.5318.17MIN: 10.38 / MAX: 10.95MIN: 13.48 / MAX: 13.81MIN: 10.72 / MAX: 10.93MIN: 13.33 / MAX: 13.82MIN: 18.02 / MAX: 18.49
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 10.42 / Avg: 10.67 / Max: 10.82Min: 13.56 / Avg: 13.57 / Max: 13.6Min: 10.78 / Avg: 10.8 / Max: 10.81Min: 13.42 / Avg: 13.53 / Max: 13.62Min: 18.13 / Avg: 18.17 / Max: 18.19

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 CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1326395265SE +/- 0.05, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 356.0845.9156.0245.7832.96
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1122334455Min: 55.98 / Avg: 56.08 / Max: 56.14Min: 45.45 / Avg: 45.91 / Max: 46.29Min: 55.91 / Avg: 56.02 / Max: 56.11Min: 45.39 / Avg: 45.78 / Max: 45.98Min: 32.41 / Avg: 32.96 / Max: 33.25

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 DragonAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 311.9715.0711.9615.2620.17MIN: 11.87 / MAX: 12.12MIN: 14.98 / MAX: 15.3MIN: 11.87 / MAX: 12.14MIN: 15 / MAX: 15.61MIN: 20.07 / MAX: 20.46
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 11.91 / Avg: 11.97 / Max: 12.02Min: 15.04 / Avg: 15.07 / Max: 15.1Min: 11.91 / Avg: 11.96 / Max: 11.99Min: 15.06 / Avg: 15.26 / Max: 15.45Min: 20.14 / Avg: 20.17 / Max: 20.2

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 331.8825.7631.8125.7518.931. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 31.85 / Avg: 31.88 / Max: 31.9Min: 25.53 / Avg: 25.75 / Max: 25.95Min: 31.75 / Avg: 31.81 / Max: 31.87Min: 25.48 / Avg: 25.75 / Max: 25.94Min: 18.68 / Avg: 18.93 / Max: 19.141. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: u8s8f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.40510.81021.21531.62042.0255SE +/- 0.00295, N = 3SE +/- 0.00239, N = 3SE +/- 0.00662, N = 3SE +/- 0.00156, N = 3SE +/- 0.00157, N = 31.800651.400241.785211.396231.06967MIN: 1.74MIN: 1.31MIN: 1.73MIN: 1.31MIN: 1.051. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: u8s8f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 1.8 / Avg: 1.8 / Max: 1.8Min: 1.4 / Avg: 1.4 / Max: 1.4Min: 1.77 / Avg: 1.79 / Max: 1.8Min: 1.39 / Avg: 1.4 / Max: 1.4Min: 1.07 / Avg: 1.07 / Max: 1.071. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.00582.01163.01744.02325.029SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 34.473.414.453.372.67
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.45 / Avg: 4.47 / Max: 4.49Min: 3.35 / Avg: 3.41 / Max: 3.46Min: 4.38 / Avg: 4.45 / Max: 4.52Min: 3.32 / Avg: 3.37 / Max: 3.45Min: 2.62 / Avg: 2.67 / Max: 2.69

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 EntropyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 321.4316.1821.5216.3612.87
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 21.02 / Avg: 21.43 / Max: 21.64Min: 15.79 / Avg: 16.18 / Max: 16.4Min: 21.43 / Avg: 21.52 / Max: 21.58Min: 16.27 / Avg: 16.36 / Max: 16.45Min: 12.63 / Avg: 12.87 / Max: 13.05

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 Dragon ObjAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 311.0013.7810.9813.7318.34MIN: 10.89 / MAX: 11.18MIN: 13.65 / MAX: 14.02MIN: 10.86 / MAX: 11.16MIN: 13.21 / MAX: 14.21MIN: 18.19 / MAX: 18.68
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 10.94 / Avg: 11 / Max: 11.05Min: 13.74 / Avg: 13.78 / Max: 13.8Min: 10.92 / Avg: 10.98 / Max: 11.02Min: 13.51 / Avg: 13.73 / Max: 13.84Min: 18.29 / Avg: 18.34 / Max: 18.41

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250231.72183.64230.22184.44138.82

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: MemorialAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 36.938.646.958.6711.54
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 6.92 / Avg: 6.93 / Max: 6.94Min: 8.6 / Avg: 8.64 / Max: 8.67Min: 6.95 / Avg: 6.95 / Max: 6.96Min: 8.63 / Avg: 8.67 / Max: 8.72Min: 11.49 / Avg: 11.54 / Max: 11.6

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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.39870.79741.19611.59481.9935SE +/- 0.00744, N = 3SE +/- 0.00040, N = 3SE +/- 0.00553, N = 3SE +/- 0.00116, N = 3SE +/- 0.00364, N = 31.770521.385001.772091.372491.06549MIN: 1.72MIN: 1.29MIN: 1.72MIN: 1.29MIN: 1.041. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 1.76 / Avg: 1.77 / Max: 1.78Min: 1.38 / Avg: 1.38 / Max: 1.39Min: 1.76 / Avg: 1.77 / Max: 1.78Min: 1.37 / Avg: 1.37 / Max: 1.37Min: 1.06 / Avg: 1.07 / Max: 1.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X150300450600750SE +/- 0.41, N = 3SE +/- 1.62, N = 3SE +/- 2.12, N = 3SE +/- 1.38, N = 3SE +/- 3.78, N = 3711.41582.56708.52587.91429.20
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X130260390520650Min: 710.66 / Avg: 711.41 / Max: 712.07Min: 580.37 / Avg: 582.56 / Max: 585.73Min: 704.34 / Avg: 708.52 / Max: 711.29Min: 586.1 / Avg: 587.91 / Max: 590.62Min: 424.47 / Avg: 429.2 / Max: 436.67

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: CylinderAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X80160240320400SE +/- 0.66, N = 3SE +/- 1.12, N = 3SE +/- 2.85, N = 3SE +/- 3.64, N = 3SE +/- 2.62, N = 3382.09345.85384.88345.56233.361. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X70140210280350Min: 380.77 / Avg: 382.09 / Max: 382.76Min: 344.53 / Avg: 345.85 / Max: 348.07Min: 380.99 / Avg: 384.88 / Max: 390.43Min: 338.53 / Avg: 345.56 / Max: 350.71Min: 228.16 / Avg: 233.36 / Max: 236.531. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz

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-GaussianAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X80160240320400SE +/- 0.67, N = 3SE +/- 3.67, N = 3SE +/- 0.88, N = 32312832342823791. (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-GaussianAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X70140210280350Min: 230 / Avg: 231.33 / Max: 232Min: 275 / Avg: 282.33 / Max: 286Min: 377 / Avg: 378.67 / Max: 3801. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 DVAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.053, N = 3SE +/- 0.046, N = 3SE +/- 0.051, N = 3SE +/- 0.005, N = 3SE +/- 0.022, N = 33.8446.0793.8446.1386.2571. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lm -lxcb -lasound -pthread -lva -lbz2 -llzma -lva-drm -lva-x11 -lX11 -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 DVAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 3.79 / Avg: 3.84 / Max: 3.95Min: 6.03 / Avg: 6.08 / Max: 6.17Min: 3.77 / Avg: 3.84 / Max: 3.94Min: 6.13 / Avg: 6.14 / Max: 6.15Min: 6.22 / Avg: 6.26 / Max: 6.291. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lm -lxcb -lasound -pthread -lva -lbz2 -llzma -lva-drm -lva-x11 -lX11 -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.01408, N = 3SE +/- 0.00529, N = 3SE +/- 0.01704, N = 3SE +/- 0.00557, N = 3SE +/- 0.01600, N = 37.822445.519107.849915.485884.84933MIN: 7.53MIN: 5.33MIN: 7.61MIN: 5.33MIN: 4.481. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 7.79 / Avg: 7.82 / Max: 7.84Min: 5.51 / Avg: 5.52 / Max: 5.53Min: 7.82 / Avg: 7.85 / Max: 7.88Min: 5.48 / Avg: 5.49 / Max: 5.5Min: 4.82 / Avg: 4.85 / Max: 4.871. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.01791, N = 3SE +/- 0.00552, N = 3SE +/- 0.01687, N = 3SE +/- 0.00612, N = 3SE +/- 0.01207, N = 37.880815.550117.851905.543104.88565MIN: 7.67MIN: 5.36MIN: 7.62MIN: 5.35MIN: 4.581. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 7.85 / Avg: 7.88 / Max: 7.9Min: 5.54 / Avg: 5.55 / Max: 5.56Min: 7.82 / Avg: 7.85 / Max: 7.87Min: 5.54 / Avg: 5.54 / Max: 5.56Min: 4.86 / Avg: 4.89 / Max: 4.91. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.286.445.286.468.421. (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: MediumAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 5.27 / Avg: 5.28 / Max: 5.3Min: 6.43 / Avg: 6.44 / Max: 6.46Min: 5.28 / Avg: 5.28 / Max: 5.29Min: 6.45 / Avg: 6.46 / Max: 6.47Min: 8.4 / Avg: 8.42 / Max: 8.451. (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: SlowAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 35.186.315.186.328.231. (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: SlowAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 5.17 / Avg: 5.18 / Max: 5.19Min: 6.29 / Avg: 6.31 / Max: 6.33Min: 5.17 / Avg: 5.18 / Max: 5.19Min: 6.3 / Avg: 6.32 / Max: 6.34Min: 8.18 / Avg: 8.23 / Max: 8.271. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200SE +/- 0.09, N = 3SE +/- 0.26, N = 3SE +/- 0.32, N = 3SE +/- 0.15, N = 3SE +/- 0.40, N = 3127.75133.11127.84132.75202.611. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 127.61 / Avg: 127.75 / Max: 127.93Min: 132.6 / Avg: 133.11 / Max: 133.45Min: 127.5 / Avg: 127.84 / Max: 128.48Min: 132.48 / Avg: 132.75 / Max: 132.98Min: 201.82 / Avg: 202.61 / Max: 203.111. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Inference - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 331.8925.7632.2225.8020.40MIN: 30.85MIN: 25.11MIN: 30.99MIN: 25.12MIN: 19.81. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Inference - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 31.75 / Avg: 31.89 / Max: 32.06Min: 25.7 / Avg: 25.76 / Max: 25.8Min: 31.93 / Avg: 32.22 / Max: 32.56Min: 25.65 / Avg: 25.8 / Max: 26.06Min: 20.26 / Avg: 20.4 / Max: 20.591. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 314.6118.0214.6818.0823.061. (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 FastAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 14.6 / Avg: 14.61 / Max: 14.63Min: 17.95 / Avg: 18.02 / Max: 18.14Min: 14.63 / Avg: 14.68 / Max: 14.73Min: 18.04 / Avg: 18.08 / Max: 18.15Min: 22.93 / Avg: 23.06 / Max: 23.211. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300SE +/- 0.22, N = 3SE +/- 0.88, N = 3SE +/- 0.38, N = 3SE +/- 1.00, N = 3SE +/- 0.14, N = 3286.25205.17285.20203.04181.85MIN: 284.69MIN: 202.59MIN: 283.46MIN: 200.2MIN: 180.951. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250Min: 285.8 / Avg: 286.25 / Max: 286.49Min: 203.6 / Avg: 205.17 / Max: 206.62Min: 284.45 / Avg: 285.2 / Max: 285.67Min: 201.1 / Avg: 203.04 / Max: 204.38Min: 181.58 / Avg: 181.85 / Max: 182.031. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.23650.4730.70950.9461.1825SE +/- 0.005, N = 3SE +/- 0.010, N = 3SE +/- 0.014, N = 3SE +/- 0.004, N = 3SE +/- 0.011, N = 31.0510.8211.0490.8030.679MIN: 0.97 / MAX: 1.47MIN: 0.74 / MAX: 1.09MIN: 0.98 / MAX: 1.42MIN: 0.73 / MAX: 1.12MIN: 0.59 / MAX: 0.98
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 1.05 / Avg: 1.05 / Max: 1.06Min: 0.81 / Avg: 0.82 / Max: 0.84Min: 1.03 / Avg: 1.05 / Max: 1.08Min: 0.8 / Avg: 0.8 / Max: 0.81Min: 0.66 / Avg: 0.68 / Max: 0.7

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300SE +/- 0.22, N = 3SE +/- 0.76, N = 3SE +/- 0.37, N = 3SE +/- 0.75, N = 3SE +/- 0.29, N = 3275.92203.89274.62204.51178.59MIN: 274.48MIN: 200.99MIN: 273.14MIN: 201.75MIN: 177.411. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250Min: 275.58 / Avg: 275.92 / Max: 276.33Min: 202.4 / Avg: 203.89 / Max: 204.91Min: 274.05 / Avg: 274.62 / Max: 275.31Min: 203.03 / Avg: 204.51 / Max: 205.5Min: 178.09 / Avg: 178.59 / Max: 179.111. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 315.1014.9015.2314.7822.731. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 14.93 / Avg: 15.1 / Max: 15.22Min: 14.76 / Avg: 14.9 / Max: 15.05Min: 15.07 / Avg: 15.23 / Max: 15.45Min: 14.63 / Avg: 14.78 / Max: 14.96Min: 22.48 / Avg: 22.73 / Max: 22.891. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000SE +/- 0.25, N = 3SE +/- 0.93, N = 3SE +/- 0.63, N = 3SE +/- 2.68, N = 3SE +/- 0.28, N = 3567.84716.64565.68720.41866.151. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X150300450600750Min: 567.34 / Avg: 567.84 / Max: 568.18Min: 715.21 / Avg: 716.64 / Max: 718.39Min: 564.43 / Avg: 565.68 / Max: 566.41Min: 717.31 / Avg: 720.41 / Max: 725.74Min: 865.8 / Avg: 866.15 / Max: 866.71. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

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 FastAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 326.2832.1526.3432.3540.221. (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 FastAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240Min: 26.16 / Avg: 26.28 / Max: 26.34Min: 32 / Avg: 32.15 / Max: 32.23Min: 26.29 / Avg: 26.34 / Max: 26.42Min: 32.23 / Avg: 32.35 / Max: 32.46Min: 40.07 / Avg: 40.22 / Max: 40.461. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 330.5326.2130.6726.1320.09
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 30.35 / Avg: 30.53 / Max: 30.66Min: 26.05 / Avg: 26.21 / Max: 26.33Min: 30.59 / Avg: 30.67 / Max: 30.77Min: 25.95 / Avg: 26.13 / Max: 26.22Min: 19.97 / Avg: 20.09 / Max: 20.16

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: 0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.39, N = 3SE +/- 0.31, N = 3SE +/- 0.22, N = 3SE +/- 0.44, N = 3SE +/- 0.50, N = 389.4874.3189.5674.5058.731. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 88.74 / Avg: 89.48 / Max: 90.04Min: 73.71 / Avg: 74.3 / Max: 74.74Min: 89.28 / Avg: 89.56 / Max: 89.98Min: 73.88 / Avg: 74.5 / Max: 75.34Min: 58.2 / Avg: 58.73 / Max: 59.731. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.23, N = 3SE +/- 0.12, N = 354.3744.9454.2845.1535.681. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1122334455Min: 54.29 / Avg: 54.37 / Max: 54.49Min: 44.64 / Avg: 44.94 / Max: 45.25Min: 54.13 / Avg: 54.28 / Max: 54.39Min: 44.74 / Avg: 45.15 / Max: 45.55Min: 35.52 / Avg: 35.68 / Max: 35.921. (CXX) g++ options: -O3 -fPIC

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 311.9214.7912.0914.8717.80
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 11.74 / Avg: 11.92 / Max: 12.19Min: 14.69 / Avg: 14.79 / Max: 14.87Min: 11.93 / Avg: 12.09 / Max: 12.35Min: 14.68 / Avg: 14.87 / Max: 14.97Min: 17.68 / Avg: 17.8 / Max: 17.89

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: MediumAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 321.0528.2321.0828.3031.081. (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: MediumAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 21.03 / Avg: 21.05 / Max: 21.06Min: 28.21 / Avg: 28.23 / Max: 28.27Min: 20.97 / Avg: 21.08 / Max: 21.15Min: 28.24 / Avg: 28.3 / Max: 28.37Min: 30.99 / Avg: 31.08 / Max: 31.171. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250SE +/- 2.38, N = 3SE +/- 2.71, N = 3SE +/- 2.18, N = 4SE +/- 2.13, N = 4SE +/- 1.94, N = 12147.71157.75147.90159.15217.141. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 142.99 / Avg: 147.71 / Max: 150.6Min: 152.36 / Avg: 157.75 / Max: 160.9Min: 141.61 / Avg: 147.9 / Max: 151.06Min: 152.83 / Avg: 159.15 / Max: 162.21Min: 195.95 / Avg: 217.14 / Max: 220.261. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 320.5727.4720.5427.6030.131. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 20.51 / Avg: 20.57 / Max: 20.61Min: 27.41 / Avg: 27.47 / Max: 27.51Min: 20.51 / Avg: 20.54 / Max: 20.58Min: 27.58 / Avg: 27.6 / Max: 27.62Min: 29.89 / Avg: 30.13 / Max: 30.311. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.9271.8542.7813.7084.635SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 33.042.813.012.834.12MIN: 2.99 / MAX: 4.21MIN: 2.75 / MAX: 3.89MIN: 2.97 / MAX: 3.7MIN: 2.76 / MAX: 4.05MIN: 4.03 / MAX: 5.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 3.04 / Avg: 3.04 / Max: 3.05Min: 2.79 / Avg: 2.81 / Max: 2.86Min: 3 / Avg: 3.01 / Max: 3.01Min: 2.8 / Avg: 2.83 / Max: 2.87Min: 4.07 / Avg: 4.12 / Max: 4.191. (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: IP Batch All - Data Type: f32 - Engine: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1632486480SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 370.2059.9369.3959.0548.33MIN: 69.59MIN: 58.5MIN: 68.78MIN: 57.93MIN: 47.721. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1428425670Min: 70.1 / Avg: 70.2 / Max: 70.28Min: 59.73 / Avg: 59.93 / Max: 60.07Min: 69.38 / Avg: 69.39 / Max: 69.4Min: 58.91 / Avg: 59.05 / Max: 59.21Min: 48.25 / Avg: 48.33 / Max: 48.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.28330.56660.84991.13321.4165SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 30.8720.9600.8740.9581.2591. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.96 / Avg: 0.96 / Max: 0.96Min: 0.87 / Avg: 0.87 / Max: 0.88Min: 0.96 / Avg: 0.96 / Max: 0.96Min: 1.25 / Avg: 1.26 / Max: 1.261. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250SE +/- 0.24, N = 3SE +/- 0.33, N = 3SE +/- 1.06, N = 3SE +/- 0.51, N = 3SE +/- 0.67, N = 3156.33167.46156.10168.71225.171. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 155.97 / Avg: 156.33 / Max: 156.78Min: 166.81 / Avg: 167.46 / Max: 167.88Min: 154.16 / Avg: 156.1 / Max: 157.81Min: 167.69 / Avg: 168.71 / Max: 169.25Min: 224.13 / Avg: 225.17 / Max: 226.421. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1632486480SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 371.2961.0871.2461.0749.61MIN: 70.77MIN: 59.73MIN: 70.64MIN: 59.83MIN: 49.091. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1428425670Min: 71.22 / Avg: 71.29 / Max: 71.34Min: 60.97 / Avg: 61.08 / Max: 61.22Min: 71.18 / Avg: 71.24 / Max: 71.3Min: 60.89 / Avg: 61.07 / Max: 61.25Min: 49.54 / Avg: 49.61 / Max: 49.671. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -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: NASNet MobileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X40K80K120K160K200KSE +/- 169.90, N = 3SE +/- 1820.50, N = 3SE +/- 186.70, N = 3SE +/- 1222.67, N = 3SE +/- 202.44, N = 3184025146691183728145483128086
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30K60K90K120K150KMin: 183793 / Avg: 184025 / Max: 184356Min: 143773 / Avg: 146691.33 / Max: 150036Min: 183470 / Avg: 183728.33 / Max: 184091Min: 144253 / Avg: 145482.67 / Max: 147928Min: 127785 / Avg: 128086 / Max: 128471

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.87081.74162.61243.48324.354SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 33.012.732.992.733.87MIN: 2.95 / MAX: 4.09MIN: 2.66 / MAX: 3.8MIN: 2.93 / MAX: 4.08MIN: 2.65 / MAX: 3.35MIN: 3.81 / MAX: 4.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 3 / Avg: 3.01 / Max: 3.02Min: 2.7 / Avg: 2.73 / Max: 2.76Min: 2.98 / Avg: 2.99 / Max: 2.99Min: 2.69 / Avg: 2.73 / Max: 2.78Min: 3.85 / Avg: 3.87 / Max: 3.881. (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: SqueezeNetV1.0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.020, N = 3SE +/- 0.049, N = 7SE +/- 0.063, N = 3SE +/- 0.014, N = 3SE +/- 0.059, N = 105.0134.4234.9284.5036.255MIN: 4.91 / MAX: 13.06MIN: 4.21 / MAX: 13.23MIN: 4.75 / MAX: 13.58MIN: 4.42 / MAX: 4.94MIN: 5.87 / MAX: 15.921. (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: SqueezeNetV1.0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 4.97 / Avg: 5.01 / Max: 5.04Min: 4.26 / Avg: 4.42 / Max: 4.54Min: 4.8 / Avg: 4.93 / Max: 5.01Min: 4.48 / Avg: 4.5 / Max: 4.52Min: 5.93 / Avg: 6.26 / Max: 6.61. (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-v2-v2 - Model: mobilenet-v2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.96081.92162.88243.84324.804SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 33.263.033.233.044.27MIN: 3.2 / MAX: 4.48MIN: 2.94 / MAX: 4.23MIN: 3.14 / MAX: 4MIN: 2.94 / MAX: 12.36MIN: 4.21 / MAX: 5.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 3.25 / Avg: 3.26 / Max: 3.27Min: 3 / Avg: 3.03 / Max: 3.08Min: 3.2 / Avg: 3.23 / Max: 3.25Min: 2.99 / Avg: 3.04 / Max: 3.12Min: 4.25 / Avg: 4.27 / Max: 4.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 319.5716.4419.5916.4213.95
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 19.53 / Avg: 19.57 / Max: 19.61Min: 16.38 / Avg: 16.44 / Max: 16.54Min: 19.56 / Avg: 19.59 / Max: 19.64Min: 16.35 / Avg: 16.42 / Max: 16.54Min: 13.91 / Avg: 13.95 / Max: 14

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 TimesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.53, N = 3SE +/- 0.27, N = 3SE +/- 0.22, N = 3SE +/- 0.22, N = 3SE +/- 0.72, N = 379.0285.6579.0285.47110.601. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 78.32 / Avg: 79.02 / Max: 80.06Min: 85.14 / Avg: 85.65 / Max: 86.09Min: 78.62 / Avg: 79.02 / Max: 79.36Min: 85.22 / Avg: 85.47 / Max: 85.9Min: 109.29 / Avg: 110.6 / Max: 111.771. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1326395265SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 359.1450.7159.1850.9142.55
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860Min: 59.11 / Avg: 59.14 / Max: 59.21Min: 50.6 / Avg: 50.71 / Max: 50.83Min: 59.1 / Avg: 59.18 / Max: 59.3Min: 50.72 / Avg: 50.91 / Max: 51.05Min: 42.26 / Avg: 42.55 / Max: 42.95

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 314.6012.6114.5812.5710.521. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 14.56 / Avg: 14.6 / Max: 14.65Min: 12.55 / Avg: 12.61 / Max: 12.7Min: 14.54 / Avg: 14.58 / Max: 14.63Min: 12.53 / Avg: 12.57 / Max: 12.6Min: 10.46 / Avg: 10.52 / Max: 10.591. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1020304050SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 342.3938.8140.8538.0430.76MIN: 41.83MIN: 38.1MIN: 40.29MIN: 37.21MIN: 29.961. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645Min: 42.2 / Avg: 42.39 / Max: 42.64Min: 38.71 / Avg: 38.81 / Max: 38.87Min: 40.62 / Avg: 40.85 / Max: 41.03Min: 37.78 / Avg: 38.04 / Max: 38.33Min: 30.64 / Avg: 30.76 / Max: 30.871. (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 DataAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X150300450600750505.06677.01526.78696.01678.26

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.98481.96962.95443.93924.924SE +/- 0.01547, N = 3SE +/- 0.01637, N = 3SE +/- 0.01790, N = 3SE +/- 0.01920, N = 3SE +/- 0.01915, N = 34.359903.244404.376983.191493.20565MIN: 4.09MIN: 3.09MIN: 4.18MIN: 3.05MIN: 2.971. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.33 / Avg: 4.36 / Max: 4.38Min: 3.21 / Avg: 3.24 / Max: 3.26Min: 4.35 / Avg: 4.38 / Max: 4.41Min: 3.16 / Avg: 3.19 / Max: 3.22Min: 3.17 / Avg: 3.21 / Max: 3.231. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.98171.96342.94513.92684.9085SE +/- 0.00657, N = 3SE +/- 0.02730, N = 3SE +/- 0.01108, N = 3SE +/- 0.02383, N = 3SE +/- 0.01061, N = 34.363103.230414.348883.217143.84039MIN: 4.16MIN: 3.05MIN: 4.14MIN: 3.05MIN: 3.61. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.36 / Avg: 4.36 / Max: 4.38Min: 3.18 / Avg: 3.23 / Max: 3.27Min: 4.33 / Avg: 4.35 / Max: 4.37Min: 3.17 / Avg: 3.22 / Max: 3.25Min: 3.82 / Avg: 3.84 / Max: 3.861. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Selenium

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

OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000SE +/- 13.98, N = 3SE +/- 15.51, N = 3SE +/- 14.03, N = 3SE +/- 5.99, N = 3SE +/- 9.31, N = 12856.51907.14915.31987.07729.481. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000Min: 828.57 / Avg: 856.51 / Max: 871.38Min: 876.76 / Avg: 907.14 / Max: 927.74Min: 897.74 / Avg: 915.31 / Max: 943.04Min: 977.73 / Avg: 987.07 / Max: 998.23Min: 697.17 / Avg: 729.48 / Max: 782.061. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.31632.63263.94895.26526.5815SE +/- 0.012, N = 3SE +/- 0.005, N = 7SE +/- 0.006, N = 3SE +/- 0.011, N = 3SE +/- 0.011, N = 104.3434.4584.3554.4245.850MIN: 4.28 / MAX: 5.47MIN: 4.37 / MAX: 4.84MIN: 4.3 / MAX: 5.43MIN: 4.37 / MAX: 5.41MIN: 5.73 / MAX: 14.541. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.32 / Avg: 4.34 / Max: 4.36Min: 4.44 / Avg: 4.46 / Max: 4.48Min: 4.34 / Avg: 4.36 / Max: 4.36Min: 4.41 / Avg: 4.42 / Max: 4.45Min: 5.78 / Avg: 5.85 / Max: 5.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.22, N = 331.5728.8131.3128.9423.69
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 31.24 / Avg: 31.57 / Max: 31.87Min: 28.46 / Avg: 28.8 / Max: 29.15Min: 31.15 / Avg: 31.31 / Max: 31.55Min: 28.49 / Avg: 28.94 / Max: 29.46Min: 23.42 / Avg: 23.69 / Max: 24.11

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_224AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.70161.40322.10482.80643.508SE +/- 0.011, N = 3SE +/- 0.020, N = 7SE +/- 0.016, N = 3SE +/- 0.016, N = 3SE +/- 0.018, N = 102.7342.3432.7032.3883.118MIN: 2.69 / MAX: 3.01MIN: 2.24 / MAX: 2.86MIN: 2.64 / MAX: 2.97MIN: 2.34 / MAX: 2.66MIN: 2.95 / MAX: 12.691. (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: MobileNetV2_224AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.71 / Avg: 2.73 / Max: 2.75Min: 2.27 / Avg: 2.34 / Max: 2.39Min: 2.67 / Avg: 2.7 / Max: 2.73Min: 2.37 / Avg: 2.39 / Max: 2.42Min: 3.03 / Avg: 3.12 / Max: 3.251. (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

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: vklBenchmarkStructuredVolumeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5900Xa20M40M60M80M100MSE +/- 333968.72, N = 3SE +/- 318117.11, N = 3SE +/- 596052.47, N = 3SE +/- 458598.16, N = 3SE +/- 766368.01, N = 15SE +/- 1111483.12, N = 360252649.1171968735.7760724115.8471378988.7479672506.4580112360.96MIN: 1310316 / MAX: 410968800MIN: 1371138 / MAX: 543311568MIN: 1295899 / MAX: 426733056MIN: 1363853 / MAX: 568181736MIN: 1328287 / MAX: 762373872MIN: 1366414 / MAX: 872147880
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5900Xa14M28M42M56M70MMin: 59585228.51 / Avg: 60252649.11 / Max: 60609111.08Min: 71424907.16 / Avg: 71968735.77 / Max: 72526627.89Min: 59713632.41 / Avg: 60724115.84 / Max: 61777105.73Min: 70571711.14 / Avg: 71378988.74 / Max: 72159673.92Min: 75699044.08 / Avg: 79672506.45 / Max: 84745470.3Min: 78833325.81 / Avg: 80112360.96 / Max: 82326437.51

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 37.906.907.856.935.951. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 7.84 / Avg: 7.9 / Max: 7.93Min: 6.88 / Avg: 6.9 / Max: 6.92Min: 7.84 / Avg: 7.85 / Max: 7.85Min: 6.9 / Avg: 6.93 / Max: 6.96Min: 5.87 / Avg: 5.95 / Max: 6.031. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150SE +/- 0.30, N = 3SE +/- 0.38, N = 3SE +/- 0.33, N = 3SE +/- 0.20, N = 3SE +/- 0.37, N = 399.17122.6898.34122.60129.181. (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 FastAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 98.66 / Avg: 99.17 / Max: 99.71Min: 122 / Avg: 122.68 / Max: 123.33Min: 97.99 / Avg: 98.34 / Max: 99.01Min: 122.39 / Avg: 122.6 / Max: 123Min: 128.51 / Avg: 129.18 / Max: 129.791. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.11832.23663.35494.47325.5915SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 34.814.974.564.753.801. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.81 / Avg: 4.81 / Max: 4.82Min: 4.95 / Avg: 4.97 / Max: 4.98Min: 4.55 / Avg: 4.56 / Max: 4.57Min: 4.75 / Avg: 4.75 / Max: 4.76Min: 3.77 / Avg: 3.8 / Max: 3.841. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 4KAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250SE +/- 0.25, N = 3SE +/- 0.59, N = 3SE +/- 0.15, N = 3SE +/- 0.33, N = 3SE +/- 0.31, N = 3171.36194.21172.35195.64223.16MIN: 161.78 / MAX: 194.07MIN: 178.9 / MAX: 214.21MIN: 162.37 / MAX: 195.27MIN: 179.71 / MAX: 214.51MIN: 187.58 / MAX: 239.181. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 170.94 / Avg: 171.36 / Max: 171.79Min: 193.54 / Avg: 194.21 / Max: 195.37Min: 172.17 / Avg: 172.35 / Max: 172.65Min: 195.01 / Avg: 195.64 / Max: 196.14Min: 222.57 / Avg: 223.16 / Max: 223.611. (CC) gcc options: -pthread

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 CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000SE +/- 1.70, N = 3SE +/- 2.95, N = 3SE +/- 2.08, N = 3SE +/- 1.93, N = 3SE +/- 0.64, N = 3922.11817.32921.53817.25716.14
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X160320480640800Min: 919.58 / Avg: 922.11 / Max: 925.35Min: 812.88 / Avg: 817.32 / Max: 822.91Min: 917.58 / Avg: 921.53 / Max: 924.66Min: 813.48 / Avg: 817.25 / Max: 819.84Min: 715.16 / Avg: 716.14 / Max: 717.35

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X120240360480600465.31442.51464.04441.43568.06

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.17682.35363.53044.70725.884SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 34.424.074.384.135.23MIN: 4.37 / MAX: 5.18MIN: 4.01 / MAX: 5.28MIN: 4.3 / MAX: 5.59MIN: 3.99 / MAX: 18.04MIN: 5.15 / MAX: 6.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.42 / Avg: 4.42 / Max: 4.42Min: 4.06 / Avg: 4.07 / Max: 4.09Min: 4.37 / Avg: 4.38 / Max: 4.39Min: 4.02 / Avg: 4.13 / Max: 4.28Min: 5.19 / Avg: 5.23 / Max: 5.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5900Xa4M8M12M16M20MSE +/- 35830.58, N = 3SE +/- 73069.36, N = 3SE +/- 44716.68, N = 3SE +/- 71046.73, N = 3SE +/- 154659.06, N = 3SE +/- 26905.55, N = 314918098.2316975644.9614831168.1116914302.0918779249.0018980250.31MIN: 1150974 / MAX: 43411824MIN: 1188619 / MAX: 60171264MIN: 1141257 / MAX: 41818392MIN: 1190466 / MAX: 59425776MIN: 1182930 / MAX: 76321224MIN: 1179210 / MAX: 93634272
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900XRyzen 9 5900Xa3M6M9M12M15MMin: 14864231.82 / Avg: 14918098.23 / Max: 14985961.84Min: 16876309.16 / Avg: 16975644.96 / Max: 17118139Min: 14743835.86 / Avg: 14831168.11 / Max: 14891524.14Min: 16830172.91 / Avg: 16914302.09 / Max: 17055536.36Min: 18622382.55 / Avg: 18779249 / Max: 19088556.57Min: 18928064.14 / Avg: 18980250.31 / Max: 19017709.07

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.09, N = 3SE +/- 0.31, N = 3SE +/- 0.06, N = 3SE +/- 0.22, N = 3SE +/- 0.15, N = 321.524.821.524.927.2
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 21.3 / Avg: 21.47 / Max: 21.6Min: 24.2 / Avg: 24.8 / Max: 25.2Min: 21.4 / Avg: 21.5 / Max: 21.6Min: 24.6 / Avg: 24.87 / Max: 25.3Min: 26.9 / Avg: 27.2 / Max: 27.4

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 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1428425670SE +/- 0.26, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 349.3562.2549.6262.2658.491. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860Min: 48.83 / Avg: 49.35 / Max: 49.66Min: 62.11 / Avg: 62.25 / Max: 62.4Min: 49.56 / Avg: 49.62 / Max: 49.65Min: 62.15 / Avg: 62.26 / Max: 62.38Min: 58.41 / Avg: 58.49 / Max: 58.561. (CXX) g++ options: -O3 -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1530456075SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 355.1665.7755.1566.1368.921. (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 FastAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1326395265Min: 54.99 / Avg: 55.16 / Max: 55.38Min: 65.4 / Avg: 65.77 / Max: 65.97Min: 54.9 / Avg: 55.15 / Max: 55.45Min: 66.12 / Avg: 66.13 / Max: 66.15Min: 68.63 / Avg: 68.92 / Max: 69.171. (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: HWB Color SpaceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000SE +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 4.70, N = 383691485493310431. (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 SpaceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000Min: 835 / Avg: 836.33 / Max: 837Min: 912 / Avg: 913.67 / Max: 916Min: 1034 / Avg: 1043.33 / Max: 10491. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X8K16K24K32K40KSE +/- 217.48, N = 3SE +/- 106.06, N = 3SE +/- 143.67, N = 3SE +/- 229.50, N = 3SE +/- 313.78, N = 337032.1436182.3337070.4935913.1830203.971. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X6K12K18K24K30KMin: 36600.32 / Avg: 37032.14 / Max: 37293.26Min: 35988.7 / Avg: 36182.33 / Max: 36354.16Min: 36828.57 / Avg: 37070.49 / Max: 37325.74Min: 35457.85 / Avg: 35913.18 / Max: 36191.02Min: 29581.13 / Avg: 30203.97 / Max: 30581.971. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 PNGAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 15SE +/- 0.10, N = 318.4717.2118.2917.1120.951. rsvg-convert version 2.50.1
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 18.41 / Avg: 18.47 / Max: 18.51Min: 16.96 / Avg: 17.21 / Max: 17.34Min: 18.12 / Avg: 18.29 / Max: 18.62Min: 16.3 / Avg: 17.11 / Max: 18.23Min: 20.77 / Avg: 20.95 / Max: 21.11. rsvg-convert version 2.50.1

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240SE +/- 0.14, N = 3SE +/- 0.58, N = 7SE +/- 0.80, N = 3SE +/- 0.19, N = 3SE +/- 0.22, N = 1033.4928.5132.5129.8227.78MIN: 33.06 / MAX: 41.84MIN: 26.45 / MAX: 35.45MIN: 30.76 / MAX: 41.16MIN: 29.25 / MAX: 38.99MIN: 26.88 / MAX: 36.931. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 33.21 / Avg: 33.49 / Max: 33.63Min: 26.74 / Avg: 28.51 / Max: 29.81Min: 30.92 / Avg: 32.51 / Max: 33.35Min: 29.5 / Avg: 29.82 / Max: 30.17Min: 27.16 / Avg: 27.78 / Max: 29.621. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 3.2.1Test: Masskrug - Acceleration: CPU-onlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.015, N = 3SE +/- 0.011, N = 3SE +/- 0.008, N = 36.8126.2556.8076.2445.696
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 6.8 / Avg: 6.81 / Max: 6.82Min: 6.25 / Avg: 6.25 / Max: 6.26Min: 6.79 / Avg: 6.81 / Max: 6.84Min: 6.22 / Avg: 6.24 / Max: 6.26Min: 5.69 / Avg: 5.7 / Max: 5.71

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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 318.3819.0317.8018.4616.03MIN: 18.03MIN: 18.56MIN: 17.63MIN: 18.01MIN: 15.681. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 18.32 / Avg: 18.38 / Max: 18.42Min: 18.91 / Avg: 19.03 / Max: 19.1Min: 17.77 / Avg: 17.8 / Max: 17.84Min: 18.41 / Avg: 18.46 / Max: 18.55Min: 16 / Avg: 16.03 / Max: 16.051. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1632486480SE +/- 0.54, N = 3SE +/- 0.06, N = 3SE +/- 0.70, N = 3SE +/- 0.69, N = 3SE +/- 0.15, N = 359.6562.3259.2962.4470.261. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1428425670Min: 58.8 / Avg: 59.65 / Max: 60.65Min: 62.22 / Avg: 62.32 / Max: 62.44Min: 57.96 / Avg: 59.29 / Max: 60.32Min: 61.57 / Avg: 62.44 / Max: 63.8Min: 70 / Avg: 70.26 / Max: 70.511. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 398.0988.9897.7388.7582.81
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 97.79 / Avg: 98.09 / Max: 98.55Min: 88.67 / Avg: 88.98 / Max: 89.16Min: 97.61 / Avg: 97.73 / Max: 97.8Min: 88.63 / Avg: 88.75 / Max: 88.92Min: 82.38 / Avg: 82.81 / Max: 83.15

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X140280420560700SE +/- 1.85, N = 3SE +/- 3.70, N = 3SE +/- 2.41, N = 3SE +/- 0.81, N = 3SE +/- 1.28, N = 3540.37620.24544.62621.33638.64MIN: 401.38 / MAX: 828.64MIN: 467.8 / MAX: 841.95MIN: 401.45 / MAX: 837.86MIN: 469.11 / MAX: 856.07MIN: 484.32 / MAX: 799.841. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X110220330440550Min: 536.67 / Avg: 540.37 / Max: 542.39Min: 613.62 / Avg: 620.24 / Max: 626.43Min: 541.95 / Avg: 544.62 / Max: 549.43Min: 619.82 / Avg: 621.33 / Max: 622.61Min: 637.12 / Avg: 638.64 / Max: 641.191. (CC) gcc options: -pthread

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.16332.32663.48994.65325.8165SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 35.174.695.154.734.401. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 5.13 / Avg: 5.17 / Max: 5.2Min: 4.63 / Avg: 4.69 / Max: 4.78Min: 5.09 / Avg: 5.15 / Max: 5.19Min: 4.68 / Avg: 4.73 / Max: 4.79Min: 4.31 / Avg: 4.4 / Max: 4.521. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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-bitAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 322.1325.9422.1925.9725.441. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080p 10-bitAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 22.09 / Avg: 22.13 / Max: 22.16Min: 25.92 / Avg: 25.94 / Max: 25.96Min: 22.16 / Avg: 22.19 / Max: 22.22Min: 25.9 / Avg: 25.97 / Max: 26.01Min: 25.33 / Avg: 25.44 / Max: 25.551. (CXX) g++ options: -O3 -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: googlenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.24, N = 3SE +/- 0.02, N = 311.7010.8911.6811.3212.66MIN: 11.58 / MAX: 22.96MIN: 10.47 / MAX: 22.05MIN: 11.54 / MAX: 12.81MIN: 10.65 / MAX: 12.93MIN: 12.56 / MAX: 12.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 11.67 / Avg: 11.7 / Max: 11.75Min: 10.72 / Avg: 10.89 / Max: 11.05Min: 11.66 / Avg: 11.68 / Max: 11.69Min: 10.85 / Avg: 11.32 / Max: 11.59Min: 12.64 / Avg: 12.66 / Max: 12.691. (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: 8AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.12282.24563.36844.49125.614SE +/- 0.031, N = 3SE +/- 0.033, N = 3SE +/- 0.034, N = 3SE +/- 0.042, N = 3SE +/- 0.056, N = 34.9524.5864.9904.5944.3121. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.89 / Avg: 4.95 / Max: 5Min: 4.54 / Avg: 4.59 / Max: 4.65Min: 4.92 / Avg: 4.99 / Max: 5.03Min: 4.53 / Avg: 4.59 / Max: 4.68Min: 4.24 / Avg: 4.31 / Max: 4.421. (CXX) g++ options: -O3 -fPIC

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 RNAAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.094, N = 3SE +/- 0.045, N = 3SE +/- 0.062, N = 3SE +/- 0.013, N = 3SE +/- 0.065, N = 38.7388.7088.5578.6827.5641. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 8.58 / Avg: 8.74 / Max: 8.9Min: 8.65 / Avg: 8.71 / Max: 8.8Min: 8.47 / Avg: 8.56 / Max: 8.68Min: 8.66 / Avg: 8.68 / Max: 8.7Min: 7.44 / Avg: 7.56 / Max: 7.651. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X130260390520650SE +/- 3.44, N = 3SE +/- 1.92, N = 3SE +/- 1.22, N = 3SE +/- 1.86, N = 3SE +/- 1.16, N = 3528.69568.53525.51565.16606.86MIN: 472.86 / MAX: 578.85MIN: 465.22 / MAX: 625.97MIN: 450.44 / MAX: 569.79MIN: 478.92 / MAX: 617.47MIN: 467.52 / MAX: 658.931. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X110220330440550Min: 524.71 / Avg: 528.69 / Max: 535.54Min: 564.76 / Avg: 568.53 / Max: 571.03Min: 523.33 / Avg: 525.51 / Max: 527.54Min: 563.23 / Avg: 565.16 / Max: 568.88Min: 605.7 / Avg: 606.86 / Max: 609.181. (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: Summer Nature 4KAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 325.2728.9625.3429.1128.111. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 4KAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 25.25 / Avg: 25.27 / Max: 25.3Min: 28.89 / Avg: 28.96 / Max: 29.03Min: 25.26 / Avg: 25.34 / Max: 25.43Min: 29.09 / Avg: 29.11 / Max: 29.13Min: 28 / Avg: 28.11 / Max: 28.171. (CXX) g++ options: -O3 -lpthread

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3K6K9K12K15KSE +/- 193.39, N = 11SE +/- 68.15, N = 3SE +/- 216.77, N = 12SE +/- 138.89, N = 3SE +/- 89.36, N = 315901162441567816200141051. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3K6K9K12K15KMin: 14067 / Avg: 15901.18 / Max: 16408Min: 16162 / Avg: 16243.67 / Max: 16379Min: 14048 / Avg: 15678.17 / Max: 16261Min: 15924 / Avg: 16200.33 / Max: 16363Min: 14012 / Avg: 14105.33 / Max: 142841. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 315.4714.4215.3314.4713.47MIN: 15.3 / MAX: 15.76MIN: 14.22 / MAX: 15MIN: 15.21 / MAX: 15.56MIN: 14.23 / MAX: 14.81MIN: 13.28 / MAX: 13.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 15.38 / Avg: 15.47 / Max: 15.52Min: 14.4 / Avg: 14.42 / Max: 14.44Min: 15.31 / Avg: 15.33 / Max: 15.34Min: 14.37 / Avg: 14.47 / Max: 14.63Min: 13.45 / Avg: 13.47 / Max: 13.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 353.3950.2853.4650.4046.601. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1122334455Min: 53.36 / Avg: 53.39 / Max: 53.43Min: 50.23 / Avg: 50.28 / Max: 50.32Min: 53.43 / Avg: 53.46 / Max: 53.5Min: 50.28 / Avg: 50.4 / Max: 50.5Min: 46.46 / Avg: 46.6 / Max: 46.721. RawTherapee, version 5.8, command line.

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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1326395265SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 351.1955.6451.2355.6558.72
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860Min: 50.94 / Avg: 51.19 / Max: 51.6Min: 55.57 / Avg: 55.64 / Max: 55.68Min: 51 / Avg: 51.23 / Max: 51.62Min: 55.51 / Avg: 55.65 / Max: 55.76Min: 58.6 / Avg: 58.72 / Max: 58.95

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-maskAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 310.7210.8610.7310.8512.28
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 10.72 / Avg: 10.72 / Max: 10.73Min: 10.79 / Avg: 10.86 / Max: 11Min: 10.69 / Avg: 10.73 / Max: 10.77Min: 10.76 / Avg: 10.84 / Max: 11Min: 12.24 / Avg: 12.28 / Max: 12.34

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 0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.038, N = 3SE +/- 0.018, N = 3SE +/- 0.040, N = 3SE +/- 0.025, N = 3SE +/- 0.019, N = 36.2645.9356.2715.8595.4911. (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 0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 6.21 / Avg: 6.26 / Max: 6.34Min: 5.9 / Avg: 5.93 / Max: 5.95Min: 6.19 / Avg: 6.27 / Max: 6.32Min: 5.81 / Avg: 5.86 / Max: 5.89Min: 5.46 / Avg: 5.49 / Max: 5.531. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1020304050SE +/- 0.25, N = 3SE +/- 0.66, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.27, N = 343.1240.4443.0640.1137.801. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645Min: 42.79 / Avg: 43.12 / Max: 43.62Min: 39.56 / Avg: 40.44 / Max: 41.74Min: 43.03 / Avg: 43.06 / Max: 43.08Min: 40.08 / Avg: 40.11 / Max: 40.15Min: 37.26 / Avg: 37.8 / Max: 38.121. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -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: resnet50AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.15, N = 3SE +/- 0.28, N = 3SE +/- 0.02, N = 3SE +/- 0.29, N = 3SE +/- 0.03, N = 325.4622.3425.0822.6923.72MIN: 25.07 / MAX: 25.89MIN: 21.92 / MAX: 23.14MIN: 24.9 / MAX: 36.77MIN: 21.99 / MAX: 24.17MIN: 23.57 / MAX: 24.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 25.17 / Avg: 25.46 / Max: 25.62Min: 22.04 / Avg: 22.34 / Max: 22.89Min: 25.06 / Avg: 25.08 / Max: 25.11Min: 22.1 / Avg: 22.69 / Max: 23.02Min: 23.68 / Avg: 23.72 / Max: 23.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.0360.0720.1080.1440.18SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 40.1410.1500.1420.1520.1601. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X12345Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.16 / Avg: 0.16 / Max: 0.171. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.04872.09743.14614.19485.2435SE +/- 0.049, N = 3SE +/- 0.040, N = 3SE +/- 0.041, N = 3SE +/- 0.009, N = 3SE +/- 0.031, N = 34.6084.3284.6614.2984.1181. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.54 / Avg: 4.61 / Max: 4.7Min: 4.28 / Avg: 4.33 / Max: 4.41Min: 4.58 / Avg: 4.66 / Max: 4.71Min: 4.28 / Avg: 4.3 / Max: 4.31Min: 4.08 / Avg: 4.12 / Max: 4.181. (CXX) g++ options: -O3 -fPIC

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: BLASAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X130260390520650SE +/- 4.67, N = 3SE +/- 2.08, N = 3SE +/- 5.77, N = 3SE +/- 3.53, N = 3SE +/- 6.87, N = 55855985856145431. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X110220330440550Min: 580 / Avg: 584.67 / Max: 594Min: 595 / Avg: 598 / Max: 602Min: 575 / Avg: 585 / Max: 595Min: 609 / Avg: 614.33 / Max: 621Min: 524 / Avg: 542.6 / Max: 5601. (CXX) g++ options: -flto -pthread

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: EXPoSEAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X130260390520650SE +/- 0.64, N = 3SE +/- 1.09, N = 3SE +/- 0.21, N = 3SE +/- 1.53, N = 3SE +/- 0.49, N = 3537.41573.84534.89572.75601.08
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X110220330440550Min: 536.23 / Avg: 537.41 / Max: 538.42Min: 571.66 / Avg: 573.84 / Max: 574.93Min: 534.67 / Avg: 534.89 / Max: 535.3Min: 570.26 / Avg: 572.75 / Max: 575.53Min: 600.18 / Avg: 601.07 / Max: 601.87

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: SmallAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X10002000300040005000SE +/- 2.07, N = 3SE +/- 2.37, N = 3SE +/- 6.57, N = 3SE +/- 6.08, N = 3SE +/- 11.64, N = 34755.144311.714741.564304.074262.621. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X8001600240032004000Min: 4751.29 / Avg: 4755.14 / Max: 4758.39Min: 4307.1 / Avg: 4311.71 / Max: 4314.98Min: 4732.6 / Avg: 4741.56 / Max: 4754.35Min: 4297.84 / Avg: 4304.07 / Max: 4316.22Min: 4250.53 / Avg: 4262.62 / Max: 4285.891. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi

R Benchmark

This test is a quick-running survey of general R performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterR BenchmarkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.030.060.090.120.15SE +/- 0.0009, N = 3SE +/- 0.0003, N = 3SE +/- 0.0005, N = 3SE +/- 0.0013, N = 3SE +/- 0.0017, N = 30.13320.11960.13320.12080.12041. R scripting front-end version 4.0.2 (2020-06-22)
OpenBenchmarking.orgSeconds, Fewer Is BetterR BenchmarkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X12345Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.121. R scripting front-end version 4.0.2 (2020-06-22)

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 ImagesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 317.7417.5917.7817.3519.26
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 17.7 / Avg: 17.74 / Max: 17.82Min: 17.41 / Avg: 17.59 / Max: 17.72Min: 17.71 / Avg: 17.78 / Max: 17.89Min: 17.3 / Avg: 17.35 / Max: 17.43Min: 19.04 / Avg: 19.26 / Max: 19.4

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X300600900120015001079.971162.121073.771159.501191.53

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.041, N = 3SE +/- 0.012, N = 3SE +/- 0.015, N = 3SE +/- 0.006, N = 3SE +/- 0.077, N = 38.2867.6138.3437.6457.519
OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 8.24 / Avg: 8.29 / Max: 8.37Min: 7.59 / Avg: 7.61 / Max: 7.63Min: 8.32 / Avg: 8.34 / Max: 8.37Min: 7.63 / Avg: 7.65 / Max: 7.65Min: 7.44 / Avg: 7.52 / Max: 7.67

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 3.2.1Test: Server Rack - Acceleration: CPU-onlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.04190.08380.12570.16760.2095SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.1690.1760.1680.1770.186
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X12345Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.18 / Avg: 0.19 / Max: 0.19

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-PassAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.09450.1890.28350.3780.4725SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.380.400.390.410.421. (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-PassAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X12345Min: 0.38 / Avg: 0.38 / Max: 0.39Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.38 / Avg: 0.39 / Max: 0.39Min: 0.4 / Avg: 0.41 / Max: 0.41Min: 0.42 / Avg: 0.42 / Max: 0.421. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30060090012001500SE +/- 0.45, N = 3SE +/- 4.82, N = 3SE +/- 1.50, N = 3SE +/- 0.70, N = 3SE +/- 14.18, N = 31314.651387.791308.231377.571444.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30060090012001500Min: 1314.01 / Avg: 1314.65 / Max: 1315.52Min: 1378.15 / Avg: 1387.79 / Max: 1392.88Min: 1305.3 / Avg: 1308.23 / Max: 1310.25Min: 1376.8 / Avg: 1377.57 / Max: 1378.96Min: 1415.81 / Avg: 1444.16 / Max: 1459.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.47, N = 3SE +/- 0.28, N = 3SE +/- 0.07, N = 384.7593.3484.5892.8492.281. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 1080pAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 84.6 / Avg: 84.75 / Max: 85Min: 92.99 / Avg: 93.34 / Max: 93.61Min: 83.73 / Avg: 84.58 / Max: 85.35Min: 92.28 / Avg: 92.84 / Max: 93.16Min: 92.17 / Avg: 92.28 / Max: 92.411. (CXX) g++ options: -O3 -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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200SE +/- 3.51, N = 3SE +/- 0.33, N = 3SE +/- 1.20, N = 3SE +/- 2.67, N = 32041972031971851. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 200 / Avg: 204 / Max: 211Min: 202 / Avg: 202.67 / Max: 203Min: 195 / Avg: 197.33 / Max: 199Min: 182 / Avg: 184.67 / Max: 1901. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz

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-tinyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 3SE +/- 0.27, N = 3SE +/- 0.04, N = 320.2019.3920.1719.8421.35MIN: 20.06 / MAX: 20.49MIN: 19.12 / MAX: 19.78MIN: 19.68 / MAX: 20.9MIN: 19.25 / MAX: 20.54MIN: 21.14 / MAX: 33.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 20.16 / Avg: 20.2 / Max: 20.24Min: 19.22 / Avg: 19.39 / Max: 19.57Min: 19.85 / Avg: 20.17 / Max: 20.6Min: 19.35 / Avg: 19.84 / Max: 20.3Min: 21.28 / Avg: 21.35 / Max: 21.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 312.2411.4512.2111.9812.57MIN: 12.06 / MAX: 12.55MIN: 11.24 / MAX: 11.69MIN: 12.02 / MAX: 24.54MIN: 11.54 / MAX: 12.55MIN: 12.34 / MAX: 13.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 12.23 / Avg: 12.24 / Max: 12.26Min: 11.42 / Avg: 11.45 / Max: 11.5Min: 12.13 / Avg: 12.21 / Max: 12.28Min: 11.6 / Avg: 11.98 / Max: 12.3Min: 12.54 / Avg: 12.57 / Max: 12.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed Apache Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 319.7818.6719.8418.6218.08
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 19.65 / Avg: 19.78 / Max: 19.86Min: 18.57 / Avg: 18.67 / Max: 18.77Min: 19.73 / Avg: 19.84 / Max: 19.97Min: 18.51 / Avg: 18.62 / Max: 18.77Min: 18.06 / Avg: 18.08 / Max: 18.1

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 32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3K6K9K12K15KSE +/- 18.72, N = 3SE +/- 117.49, N = 3SE +/- 157.50, N = 3SE +/- 13.20, N = 3SE +/- 82.30, N = 312784131851268613066138911. (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 32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2K4K6K8K10KMin: 12749 / Avg: 12784 / Max: 12813Min: 13044 / Avg: 13184.67 / Max: 13418Min: 12373 / Avg: 12686.33 / Max: 12871Min: 13040 / Avg: 13066 / Max: 13083Min: 13780 / Avg: 13891.33 / Max: 140521. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X81624324033.7733.9234.0833.9036.93

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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 310.3210.7310.2610.8911.22
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 10.27 / Avg: 10.32 / Max: 10.35Min: 10.49 / Avg: 10.73 / Max: 10.86Min: 10.21 / Avg: 10.26 / Max: 10.33Min: 10.81 / Avg: 10.89 / Max: 10.96Min: 11.13 / Avg: 11.22 / Max: 11.38

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.20, N = 3SE +/- 0.29, N = 7SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 1026.1725.6325.8526.1727.84MIN: 25.66 / MAX: 34.06MIN: 24.52 / MAX: 34.57MIN: 25.66 / MAX: 34.05MIN: 25.9 / MAX: 34.67MIN: 27.12 / MAX: 37.41. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 25.77 / Avg: 26.17 / Max: 26.4Min: 24.77 / Avg: 25.63 / Max: 26.29Min: 25.81 / Avg: 25.85 / Max: 25.89Min: 26.14 / Avg: 26.17 / Max: 26.22Min: 27.28 / Avg: 27.84 / Max: 29.251. (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 3.2.1Test: Server Room - Acceleration: CPU-onlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.004, N = 3SE +/- 0.011, N = 3SE +/- 0.006, N = 3SE +/- 0.014, N = 3SE +/- 0.013, N = 36.1225.8056.1115.8035.638
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 6.12 / Avg: 6.12 / Max: 6.13Min: 5.78 / Avg: 5.8 / Max: 5.82Min: 6.1 / Avg: 6.11 / Max: 6.12Min: 5.79 / Avg: 5.8 / Max: 5.83Min: 5.61 / Avg: 5.64 / Max: 5.66

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X70140210280350SE +/- 0.58, N = 3SE +/- 1.00, N = 3SE +/- 1.53, N = 32963032943042801. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250Min: 295 / Avg: 296 / Max: 297Min: 301 / Avg: 303 / Max: 304Min: 302 / Avg: 304 / Max: 3071. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. Ryzen 9 5900X: firefox 82.0.2

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200SE +/- 2.39, N = 3SE +/- 0.04, N = 3SE +/- 0.33, N = 3SE +/- 0.03, N = 3SE +/- 0.78, N = 3163.04171.68166.11175.10176.331. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150Min: 158.29 / Avg: 163.04 / Max: 165.82Min: 171.61 / Avg: 171.68 / Max: 171.74Min: 165.67 / Avg: 166.11 / Max: 166.75Min: 175.04 / Avg: 175.1 / Max: 175.15Min: 174.88 / Avg: 176.33 / Max: 177.531. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.045.796.055.816.26
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 6.03 / Avg: 6.04 / Max: 6.04Min: 5.78 / Avg: 5.79 / Max: 5.8Min: 6.03 / Avg: 6.05 / Max: 6.07Min: 5.8 / Avg: 5.81 / Max: 5.81Min: 6.26 / Avg: 6.26 / Max: 6.27

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000SE +/- 6.90, N = 3SE +/- 5.90, N = 3SE +/- 5.90, N = 3SE +/- 5.03, N = 3SE +/- 2.32, N = 3985.65930.10985.15923.15912.981. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000Min: 972 / Avg: 985.65 / Max: 994.24Min: 918.72 / Avg: 930.1 / Max: 938.49Min: 973.43 / Avg: 985.15 / Max: 992.1Min: 913.11 / Avg: 923.15 / Max: 928.81Min: 908.4 / Avg: 912.98 / Max: 915.971. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X16K32K48K64K80KSE +/- 77.40, N = 3SE +/- 270.64, N = 3SE +/- 24.66, N = 3SE +/- 214.09, N = 3SE +/- 230.78, N = 372936715277307771573770281. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X13K26K39K52K65KMin: 72785 / Avg: 72936 / Max: 73041Min: 71032 / Avg: 71527.33 / Max: 71964Min: 73030 / Avg: 73077.33 / Max: 73113Min: 71304 / Avg: 71573 / Max: 71996Min: 76636 / Avg: 77027.67 / Max: 774351. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 BenchmarkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860SE +/- 0.09, N = 3SE +/- 0.26, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 349.1651.0649.4551.2452.931. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1122334455Min: 48.97 / Avg: 49.16 / Max: 49.27Min: 50.54 / Avg: 51.06 / Max: 51.39Min: 49.41 / Avg: 49.45 / Max: 49.48Min: 51.16 / Avg: 51.24 / Max: 51.34Min: 52.76 / Avg: 52.93 / Max: 53.181. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X13K26K39K52K65KSE +/- 761.68, N = 3SE +/- 223.57, N = 3SE +/- 383.46, N = 3SE +/- 342.02, N = 3SE +/- 815.13, N = 1260259613356028962391580191. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X11K22K33K44K55KMin: 58736 / Avg: 60259.33 / Max: 61030Min: 60919 / Avg: 61335 / Max: 61685Min: 59527 / Avg: 60289.33 / Max: 60743Min: 61708 / Avg: 62391 / Max: 62765Min: 54221 / Avg: 58018.75 / Max: 630391. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X8K16K24K32K40KSE +/- 112.72, N = 3SE +/- 202.18, N = 3SE +/- 83.27, N = 3SE +/- 352.86, N = 3SE +/- 183.67, N = 336441351623646135522377841. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X7K14K21K28K35KMin: 36237 / Avg: 36441.33 / Max: 36626Min: 34775 / Avg: 35162 / Max: 35457Min: 36306 / Avg: 36461.33 / Max: 36591Min: 34919 / Avg: 35521.67 / Max: 36141Min: 37512 / Avg: 37784.33 / Max: 381341. (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: 1000AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X80K160K240K320K400KSE +/- 123.95, N = 3SE +/- 413.45, N = 3SE +/- 364.74, N = 3SE +/- 850.93, N = 3SE +/- 333.48, N = 33646463605133645833622423873891. (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: 1000AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X70K140K210K280K350KMin: 364437 / Avg: 364646.33 / Max: 364866Min: 359789 / Avg: 360512.67 / Max: 361221Min: 364156 / Avg: 364583.33 / Max: 365309Min: 360557 / Avg: 362241.67 / Max: 363293Min: 387025 / Avg: 387389 / Max: 3880551. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.18, N = 3117.10122.88117.62122.18125.75MIN: 77.92 / MAX: 280.75MIN: 82.25 / MAX: 288.12MIN: 78.37 / MAX: 285.75MIN: 82.12 / MAX: 285.11MIN: 87.04 / MAX: 259.341. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 116.94 / Avg: 117.1 / Max: 117.33Min: 122.78 / Avg: 122.88 / Max: 122.96Min: 117.55 / Avg: 117.62 / Max: 117.77Min: 121.75 / Avg: 122.18 / Max: 122.48Min: 125.39 / Avg: 125.75 / Max: 126.011. (CC) gcc options: -pthread

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X11002200330044005500SE +/- 60.60, N = 15SE +/- 61.14, N = 15SE +/- 66.75, N = 15SE +/- 74.48, N = 15SE +/- 75.94, N = 154957.595213.085137.355167.375322.161. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X9001800270036004500Min: 4611.99 / Avg: 4957.59 / Max: 5232.96Min: 4849.85 / Avg: 5213.08 / Max: 5651.05Min: 4623.01 / Avg: 5137.35 / Max: 5415.96Min: 4762.95 / Avg: 5167.37 / Max: 5558.59Min: 4874.11 / Avg: 5322.16 / Max: 5835.941. (CC) gcc options: -O3 -mavx2

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 3.2.1Test: Boat - Acceleration: CPU-onlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 312.2813.1112.2513.1313.03
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 12.27 / Avg: 12.28 / Max: 12.31Min: 13.1 / Avg: 13.1 / Max: 13.11Min: 12.24 / Avg: 12.25 / Max: 12.27Min: 13.1 / Avg: 13.13 / Max: 13.15Min: 13.03 / Avg: 13.03 / Max: 13.03

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.094, N = 3SE +/- 0.064, N = 3SE +/- 0.110, N = 3SE +/- 0.087, N = 3SE +/- 0.030, N = 36.6496.2506.6486.2056.228
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 6.51 / Avg: 6.65 / Max: 6.83Min: 6.18 / Avg: 6.25 / Max: 6.38Min: 6.52 / Avg: 6.65 / Max: 6.87Min: 6.09 / Avg: 6.2 / Max: 6.38Min: 6.19 / Avg: 6.23 / Max: 6.29

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1020304050SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 343.1940.3143.1540.3840.61
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645Min: 43.14 / Avg: 43.19 / Max: 43.28Min: 40.06 / Avg: 40.31 / Max: 40.49Min: 43.09 / Avg: 43.15 / Max: 43.2Min: 40.21 / Avg: 40.38 / Max: 40.61Min: 40.43 / Avg: 40.61 / Max: 40.73

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: 200AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X40K80K120K160K200KSE +/- 100.37, N = 3SE +/- 270.82, N = 3SE +/- 386.97, N = 3SE +/- 90.65, N = 3SE +/- 238.69, N = 31852461834621844951840521958621. (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: 200AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30K60K90K120K150KMin: 185046 / Avg: 185246 / Max: 185361Min: 183144 / Avg: 183462.33 / Max: 184001Min: 183850 / Avg: 184495.33 / Max: 185188Min: 183896 / Avg: 184051.67 / Max: 184210Min: 195574 / Avg: 195862.33 / Max: 1963361. (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: 100AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20K40K60K80K100KSE +/- 130.17, N = 3SE +/- 56.26, N = 3SE +/- 28.54, N = 3SE +/- 239.58, N = 3SE +/- 100.23, N = 392726914899200891741976591. (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: 100AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20K40K60K80K100KMin: 92557 / Avg: 92726 / Max: 92982Min: 91377 / Avg: 91489.33 / Max: 91551Min: 91977 / Avg: 92008 / Max: 92065Min: 91262 / Avg: 91741 / Max: 91991Min: 97544 / Avg: 97659.33 / Max: 978591. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 4096AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X7K14K21K28K35KSE +/- 360.82, N = 9SE +/- 62.96, N = 3SE +/- 441.94, N = 9SE +/- 501.02, N = 3SE +/- 370.08, N = 529885313982943130915309861. (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 4096AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X5K10K15K20K25KMin: 28033 / Avg: 29884.78 / Max: 30823Min: 31316 / Avg: 31398.33 / Max: 31522Min: 27712 / Avg: 29430.56 / Max: 30803Min: 29917 / Avg: 30915.33 / Max: 31489Min: 29855 / Avg: 30985.8 / Max: 318981. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Jacobi Successive Over-RelaxationAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X5001000150020002500SE +/- 4.72, N = 3SE +/- 1.64, N = 3SE +/- 4.92, N = 3SE +/- 0.05, N = 3SE +/- 26.14, N = 32327.762433.142290.262442.232429.561. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Jacobi Successive Over-RelaxationAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X400800120016002000Min: 2319.97 / Avg: 2327.76 / Max: 2336.28Min: 2430.41 / Avg: 2433.14 / Max: 2436.07Min: 2281.61 / Avg: 2290.26 / Max: 2298.63Min: 2442.18 / Avg: 2442.23 / Max: 2442.33Min: 2379.23 / Avg: 2429.56 / Max: 2466.951. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1326395265SE +/- 0.11, N = 3SE +/- 0.70, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.43, N = 355.1558.4955.3858.1658.791. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860Min: 55 / Avg: 55.15 / Max: 55.36Min: 57.27 / Avg: 58.49 / Max: 59.7Min: 55.23 / Avg: 55.38 / Max: 55.49Min: 57.88 / Avg: 58.16 / Max: 58.37Min: 57.99 / Avg: 58.79 / Max: 59.461. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline

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: 1000AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X200K400K600K800K1000KSE +/- 1157.66, N = 3SE +/- 495.56, N = 3SE +/- 1425.81, N = 3SE +/- 559.80, N = 3SE +/- 1376.91, N = 39272439179579233769177039776141. (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: 1000AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X200K400K600K800K1000KMin: 925841 / Avg: 927243.33 / Max: 929540Min: 917113 / Avg: 917957 / Max: 918829Min: 921446 / Avg: 923376 / Max: 926159Min: 916829 / Avg: 917703 / Max: 918746Min: 974866 / Avg: 977614.33 / Max: 9791391. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240SE +/- 0.29, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.25, N = 332.1332.2732.6832.4030.681. (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 5AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 31.8 / Avg: 32.13 / Max: 32.7Min: 32.14 / Avg: 32.27 / Max: 32.51Min: 32.41 / Avg: 32.68 / Max: 32.95Min: 32.21 / Avg: 32.4 / Max: 32.66Min: 30.22 / Avg: 30.68 / Max: 31.061. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

Selenium

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

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.41, N = 3101.0104.0101.0105.098.61. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 97.9 / Avg: 98.63 / Max: 99.31. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2

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: RotateAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000SE +/- 0.88, N = 3SE +/- 2.52, N = 3SE +/- 5.49, N = 3SE +/- 4.36, N = 3SE +/- 5.84, N = 39829931028104110451. (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: RotateAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000Min: 980 / Avg: 981.67 / Max: 983Min: 988 / Avg: 993 / Max: 996Min: 1018 / Avg: 1027.67 / Max: 1037Min: 1034 / Avg: 1041 / Max: 1049Min: 1039 / Avg: 1045.33 / Max: 10571. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X800K1600K2400K3200K4000KSE +/- 31024.92, N = 3SE +/- 50413.53, N = 3SE +/- 37460.92, N = 33642818.253490511.003425847.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X600K1200K1800K2400K3000KMin: 3585490.75 / Avg: 3642818.25 / Max: 3692044.25Min: 3389939.25 / Avg: 3490511 / Max: 3547007Min: 3356241.5 / Avg: 3425847.5 / Max: 34846551. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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 TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645SE +/- 0.23, N = 3SE +/- 0.21, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.29, N = 337.6736.4638.0636.3435.82
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240Min: 37.39 / Avg: 37.67 / Max: 38.13Min: 36.08 / Avg: 36.46 / Max: 36.8Min: 37.81 / Avg: 38.06 / Max: 38.51Min: 36.25 / Avg: 36.34 / Max: 36.46Min: 35.43 / Avg: 35.82 / Max: 36.38

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 SearchAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.26, N = 3SE +/- 0.18, N = 3SE +/- 0.47, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 393.5094.5393.4594.3999.271. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 93.06 / Avg: 93.5 / Max: 93.97Min: 94.26 / Avg: 94.53 / Max: 94.86Min: 92.52 / Avg: 93.45 / Max: 93.95Min: 94.21 / Avg: 94.39 / Max: 94.6Min: 99.12 / Avg: 99.27 / Max: 99.41. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Fast Fourier TransformAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X110220330440550SE +/- 1.24, N = 3SE +/- 1.02, N = 3SE +/- 2.87, N = 3SE +/- 0.79, N = 3SE +/- 4.98, N = 3494.65512.51491.01520.05513.461. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Fast Fourier TransformAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X90180270360450Min: 492.25 / Avg: 494.65 / Max: 496.41Min: 510.51 / Avg: 512.51 / Max: 513.84Min: 485.44 / Avg: 491.01 / Max: 495Min: 518.72 / Avg: 520.05 / Max: 521.46Min: 504.43 / Avg: 513.46 / Max: 521.631. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X16003200480064008000SE +/- 3.98, N = 3SE +/- 7.17, N = 3SE +/- 9.30, N = 3SE +/- 5.43, N = 3SE +/- 64.47, N = 37087.527327.737077.927476.307492.931. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X13002600390052006500Min: 7080.41 / Avg: 7087.52 / Max: 7094.18Min: 7316.44 / Avg: 7327.73 / Max: 7341.03Min: 7063.35 / Avg: 7077.92 / Max: 7095.21Min: 7466.69 / Avg: 7476.3 / Max: 7485.5Min: 7364.62 / Avg: 7492.93 / Max: 7568.011. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.48, N = 329.4128.2029.0227.8228.531. (CC) gcc options: -lm -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 29.36 / Avg: 29.41 / Max: 29.48Min: 27.98 / Avg: 28.2 / Max: 28.53Min: 28.95 / Avg: 29.02 / Max: 29.15Min: 27.82 / Avg: 27.82 / Max: 27.83Min: 27.57 / Avg: 28.53 / Max: 29.041. (CC) gcc options: -lm -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: vgg16AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 313.2813.2613.2713.2614.00MIN: 13.18 / MAX: 13.6MIN: 13.15 / MAX: 13.55MIN: 13.16 / MAX: 13.59MIN: 13.17 / MAX: 13.58MIN: 13.56 / MAX: 22.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 13.27 / Avg: 13.28 / Max: 13.3Min: 13.26 / Avg: 13.26 / Max: 13.27Min: 13.26 / Avg: 13.27 / Max: 13.29Min: 13.26 / Avg: 13.26 / Max: 13.27Min: 13.85 / Avg: 14 / Max: 14.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.031, N = 3SE +/- 0.015, N = 3SE +/- 0.020, N = 3SE +/- 0.048, N = 3SE +/- 0.005, N = 39.4979.3029.5219.3169.810
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 9.46 / Avg: 9.5 / Max: 9.56Min: 9.27 / Avg: 9.3 / Max: 9.32Min: 9.5 / Avg: 9.52 / Max: 9.56Min: 9.23 / Avg: 9.32 / Max: 9.39Min: 9.8 / Avg: 9.81 / Max: 9.82

Selenium

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

OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X400800120016002000SE +/- 19.55, N = 6SE +/- 17.86, N = 12SE +/- 16.52, N = 12SE +/- 20.97, N = 5SE +/- 15.55, N = 31605.931657.071614.161673.831588.571. chrome 86.0.4240.183
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30060090012001500Min: 1508.43 / Avg: 1605.93 / Max: 1629.89Min: 1522.4 / Avg: 1657.07 / Max: 1728.09Min: 1500.22 / Avg: 1614.16 / Max: 1679.17Min: 1592.86 / Avg: 1673.83 / Max: 1714.13Min: 1557.55 / Avg: 1588.57 / Max: 1605.971. chrome 86.0.4240.183

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: CompositeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X400800120016002000SE +/- 1.25, N = 3SE +/- 1.62, N = 3SE +/- 1.59, N = 3SE +/- 1.66, N = 3SE +/- 18.29, N = 31868.131911.931840.151938.721913.981. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: CompositeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30060090012001500Min: 1865.81 / Avg: 1868.13 / Max: 1870.11Min: 1908.73 / Avg: 1911.93 / Max: 1914.02Min: 1837.2 / Avg: 1840.15 / Max: 1842.67Min: 1935.44 / Avg: 1938.72 / Max: 1940.84Min: 1878.65 / Avg: 1913.98 / Max: 1939.871. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X15K30K45K60K75KSE +/- 421.99, N = 3SE +/- 727.70, N = 3SE +/- 462.02, N = 3SE +/- 548.06, N = 3SE +/- 511.30, N = 369314677516825771317702311. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X12K24K36K48K60KMin: 68558 / Avg: 69313.67 / Max: 70017Min: 66361 / Avg: 67750.67 / Max: 68820Min: 67333 / Avg: 68257 / Max: 68726Min: 70222 / Avg: 71316.67 / Max: 71913Min: 69658 / Avg: 70231 / Max: 712511. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.0012.0023.0034.0045.005SE +/- 0.023, N = 3SE +/- 0.025, N = 3SE +/- 0.016, N = 3SE +/- 0.021, N = 3SE +/- 0.039, N = 34.4494.3054.3864.2304.2441. (CC) gcc options: -O2 -ffast-math -fsigned-char -lvorbis -logg
OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Encoding 1.3.3WAV To OggAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.42 / Avg: 4.45 / Max: 4.49Min: 4.26 / Avg: 4.3 / Max: 4.35Min: 4.37 / Avg: 4.39 / Max: 4.42Min: 4.19 / Avg: 4.23 / Max: 4.26Min: 4.17 / Avg: 4.24 / Max: 4.291. (CC) gcc options: -O2 -ffast-math -fsigned-char -lvorbis -logg

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X100200300400500SE +/- 0.90, N = 3SE +/- 0.83, N = 3SE +/- 1.03, N = 3SE +/- 0.02, N = 3SE +/- 2.59, N = 3451.41455.21444.01466.88466.081. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X80160240320400Min: 449.64 / Avg: 451.41 / Max: 452.56Min: 453.55 / Avg: 455.21 / Max: 456.13Min: 441.98 / Avg: 444.01 / Max: 445.33Min: 466.84 / Avg: 466.88 / Max: 466.91Min: 462.16 / Avg: 466.08 / Max: 470.981. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 317.817.818.018.417.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 17.8 / Avg: 17.8 / Max: 17.8Min: 17.7 / Avg: 17.77 / Max: 17.8Min: 17.9 / Avg: 17.97 / Max: 18Min: 18.4 / Avg: 18.4 / Max: 18.4Min: 17.4 / Avg: 17.47 / Max: 17.5

TSCP

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

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X400K800K1200K1600K2000KSE +/- 7407.01, N = 5SE +/- 2485.91, N = 5SE +/- 10551.38, N = 5SE +/- 2771.65, N = 5SE +/- 16509.45, N = 5186085519137651860975195590319344761. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X300K600K900K1200K1500KMin: 1835926 / Avg: 1860854.6 / Max: 1879788Min: 1905806 / Avg: 1913765.2 / Max: 1919087Min: 1835926 / Avg: 1860974.8 / Max: 1886226Min: 1946212 / Avg: 1955903.4 / Max: 1960064Min: 1886226 / Avg: 1934476.2 / Max: 19741141. (CC) gcc options: -O3 -march=native

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.61, N = 3106.66109.51106.43111.77111.831. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 106.49 / Avg: 106.66 / Max: 106.8Min: 109.45 / Avg: 109.51 / Max: 109.56Min: 106.18 / Avg: 106.43 / Max: 106.72Min: 111.74 / Avg: 111.77 / Max: 111.8Min: 111.19 / Avg: 111.83 / Max: 113.051. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1020304050SE +/- 0.50, N = 7SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.60, N = 343.9242.3943.4641.8142.681. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645Min: 43.24 / Avg: 43.92 / Max: 46.89Min: 42.24 / Avg: 42.39 / Max: 42.48Min: 43.31 / Avg: 43.46 / Max: 43.56Min: 41.55 / Avg: 41.81 / Max: 42.11Min: 41.72 / Avg: 42.68 / Max: 43.791. (CC) gcc options: -O2 -ldl -lz -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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X5K10K15K20K25KSE +/- 232.83, N = 3SE +/- 231.42, N = 3SE +/- 332.32, N = 3SE +/- 107.82, N = 3SE +/- 44.77, N = 321323215742090221913219541. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4K8K12K16K20KMin: 20863 / Avg: 21322.67 / Max: 21617Min: 21119 / Avg: 21574 / Max: 21875Min: 20239 / Avg: 20902 / Max: 21274Min: 21721 / Avg: 21913 / Max: 22094Min: 21865 / Avg: 21954 / Max: 220071. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.386.436.396.436.70MIN: 6.35 / MAX: 6.56MIN: 6.39 / MAX: 6.62MIN: 6.35 / MAX: 7.26MIN: 6.38 / MAX: 6.65MIN: 6.59 / MAX: 11.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 6.38 / Avg: 6.38 / Max: 6.39Min: 6.41 / Avg: 6.43 / Max: 6.44Min: 6.38 / Avg: 6.39 / Max: 6.39Min: 6.42 / Avg: 6.43 / Max: 6.46Min: 6.68 / Avg: 6.7 / Max: 6.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Dense LU Matrix FactorizationAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X10002000300040005000SE +/- 8.73, N = 3SE +/- 4.92, N = 3SE +/- 4.72, N = 3SE +/- 0.16, N = 3SE +/- 37.55, N = 34314.204375.364234.704446.074381.091. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Dense LU Matrix FactorizationAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X8001600240032004000Min: 4296.97 / Avg: 4314.2 / Max: 4325.28Min: 4365.99 / Avg: 4375.36 / Max: 4382.66Min: 4225.63 / Avg: 4234.7 / Max: 4241.51Min: 4445.75 / Avg: 4446.07 / Max: 4446.29Min: 4308.15 / Avg: 4381.09 / Max: 4433.051. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Monte CarloAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X130260390520650SE +/- 1.34, N = 3SE +/- 0.22, N = 3SE +/- 2.90, N = 3SE +/- 0.46, N = 3SE +/- 6.22, N = 3570.48578.59565.66593.88581.001. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Monte CarloAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X100200300400500Min: 567.92 / Avg: 570.48 / Max: 572.46Min: 578.2 / Avg: 578.59 / Max: 578.97Min: 559.95 / Avg: 565.66 / Max: 569.42Min: 592.97 / Avg: 593.88 / Max: 594.48Min: 568.94 / Avg: 581 / Max: 589.671. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.006, N = 3SE +/- 0.007, N = 3SE +/- 0.019, N = 3SE +/- 0.010, N = 3SE +/- 0.062, N = 36.0625.8336.0085.7745.8151. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 6.05 / Avg: 6.06 / Max: 6.07Min: 5.82 / Avg: 5.83 / Max: 5.84Min: 5.98 / Avg: 6.01 / Max: 6.05Min: 5.76 / Avg: 5.77 / Max: 5.79Min: 5.7 / Avg: 5.82 / Max: 5.921. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.25940.51880.77821.03761.297SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.010, N = 31.1531.1001.1361.1071.1181. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 1.15 / Avg: 1.15 / Max: 1.17Min: 1.1 / Avg: 1.1 / Max: 1.1Min: 1.13 / Avg: 1.14 / Max: 1.14Min: 1.1 / Avg: 1.11 / Max: 1.12Min: 1.11 / Avg: 1.12 / Max: 1.141. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2004006008001000SE +/- 3.63, N = 3SE +/- 12.46, N = 4SE +/- 12.11, N = 4SE +/- 8.94, N = 3SE +/- 1.38, N = 3825.78854.18836.96865.18865.471. chrome 86.0.4240.183
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X150300450600750Min: 820.92 / Avg: 825.78 / Max: 832.89Min: 824.42 / Avg: 854.18 / Max: 885.19Min: 818.61 / Avg: 836.96 / Max: 872Min: 847.67 / Avg: 865.18 / Max: 877.11Min: 863.78 / Avg: 865.47 / Max: 868.21. chrome 86.0.4240.183

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X160320480640800SE +/- 3.84, N = 3SE +/- 1.33, N = 3SE +/- 8.02, N = 3SE +/- 2.73, N = 3SE +/- 5.04, N = 3738743752747718
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X130260390520650Min: 734 / Avg: 738.33 / Max: 746Min: 740 / Avg: 742.67 / Max: 744Min: 743 / Avg: 752 / Max: 768Min: 742 / Avg: 747.33 / Max: 751Min: 711 / Avg: 718.33 / Max: 728

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 313.5312.9213.4013.0013.251. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 13.48 / Avg: 13.52 / Max: 13.61Min: 12.91 / Avg: 12.92 / Max: 12.93Min: 13.25 / Avg: 13.4 / Max: 13.47Min: 12.79 / Avg: 13 / Max: 13.12Min: 13.22 / Avg: 13.25 / Max: 13.271. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1428425670SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.26, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 362.5060.2563.0160.5760.29
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860Min: 62.45 / Avg: 62.5 / Max: 62.53Min: 60.23 / Avg: 60.25 / Max: 60.28Min: 62.48 / Avg: 63.01 / Max: 63.32Min: 60.27 / Avg: 60.57 / Max: 60.82Min: 60.1 / Avg: 60.29 / Max: 60.52

Swet

Swet is a synthetic CPU/RAM benchmark, includes multi-processor test cases. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOperations Per Second, More Is BetterSwet 1.5.16AverageAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X200M400M600M800M1000MSE +/- 1904320.29, N = 3SE +/- 5385783.46, N = 3SE +/- 6434346.56, N = 3SE +/- 4238517.57, N = 3SE +/- 640239.54, N = 3105460557411023363331061748646110032486910929010891. (CC) gcc options: -lm -lpthread -lcurses -lrt
OpenBenchmarking.orgOperations Per Second, More Is BetterSwet 1.5.16AverageAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X200M400M600M800M1000MMin: 1052020551 / Avg: 1054605574 / Max: 1058320388Min: 1092309172 / Avg: 1102336333.33 / Max: 1110757555Min: 1053421819 / Avg: 1061748646 / Max: 1074409142Min: 1093953701 / Avg: 1100324869.33 / Max: 1108353103Min: 1092007264 / Avg: 1092901088.67 / Max: 10941420591. (CC) gcc options: -lm -lpthread -lcurses -lrt

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 BlurAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1020304050SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 344.8644.1744.8944.1646.15
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645Min: 44.81 / Avg: 44.86 / Max: 44.97Min: 43.94 / Avg: 44.17 / Max: 44.39Min: 44.86 / Avg: 44.89 / Max: 44.93Min: 44.08 / Avg: 44.16 / Max: 44.23Min: 45.94 / Avg: 46.15 / Max: 46.32

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Sparse Matrix MultiplyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X400800120016002000SE +/- 5.96, N = 3SE +/- 1.89, N = 3SE +/- 1.52, N = 3SE +/- 9.50, N = 3SE +/- 16.66, N = 31633.551660.041619.151691.391664.781. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Sparse Matrix MultiplyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X30060090012001500Min: 1624.25 / Avg: 1633.55 / Max: 1644.66Min: 1657.79 / Avg: 1660.04 / Max: 1663.79Min: 1616.77 / Avg: 1619.15 / Max: 1621.97Min: 1672.63 / Avg: 1691.39 / Max: 1703.35Min: 1632.5 / Avg: 1664.78 / Max: 1688.041. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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-b0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 39.709.679.679.7010.10MIN: 9.2 / MAX: 13.92MIN: 8.63 / MAX: 13.97MIN: 9.16 / MAX: 13.66MIN: 9.19 / MAX: 13.42MIN: 8.7 / MAX: 19.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 9.65 / Avg: 9.7 / Max: 9.77Min: 9.62 / Avg: 9.67 / Max: 9.74Min: 9.62 / Avg: 9.67 / Max: 9.72Min: 9.68 / Avg: 9.7 / Max: 9.71Min: 10 / Avg: 10.1 / Max: 10.271. (CXX) g++ options: -O3 -rdynamic -lgomp -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: Plotting Isosurface Of A 3D Volume, 1000 TimesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 316.3415.8015.9815.8915.661. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 16.26 / Avg: 16.34 / Max: 16.38Min: 15.62 / Avg: 15.8 / Max: 15.98Min: 15.95 / Avg: 15.98 / Max: 16.03Min: 15.75 / Avg: 15.89 / Max: 16.05Min: 15.35 / Avg: 15.66 / Max: 16.151. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X500K1000K1500K2000K2500KSE +/- 9980.90, N = 3SE +/- 16028.35, N = 3SE +/- 22045.06, N = 32219356.172315362.502252973.301. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X400K800K1200K1600K2000KMin: 2202784.25 / Avg: 2219356.17 / Max: 2237279.75Min: 2283908.75 / Avg: 2315362.5 / Max: 2336448.5Min: 2217791.5 / Avg: 2252973.33 / Max: 22935781. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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: Tile GlassAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 321.9121.6821.8921.6322.56
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 21.9 / Avg: 21.91 / Max: 21.92Min: 21.65 / Avg: 21.68 / Max: 21.74Min: 21.83 / Avg: 21.89 / Max: 21.97Min: 21.61 / Avg: 21.63 / Max: 21.65Min: 22.47 / Avg: 22.56 / Max: 22.65

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 315.1614.7314.9114.6215.241. chrome 86.0.4240.183
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 15.02 / Avg: 15.16 / Max: 15.33Min: 14.62 / Avg: 14.73 / Max: 14.79Min: 14.78 / Avg: 14.91 / Max: 14.99Min: 14.58 / Avg: 14.62 / Max: 14.64Min: 15.11 / Avg: 15.24 / Max: 15.431. chrome 86.0.4240.183

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.22, N = 416.2115.7116.1115.6815.561. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 16.06 / Avg: 16.21 / Max: 16.32Min: 15.55 / Avg: 15.71 / Max: 15.94Min: 15.97 / Avg: 16.11 / Max: 16.22Min: 15.49 / Avg: 15.68 / Max: 16.04Min: 15.2 / Avg: 15.56 / Max: 16.171. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250SE +/- 0.34, N = 3SE +/- 1.40, N = 3SE +/- 0.31, N = 3SE +/- 0.03, N = 3SE +/- 1.56, N = 3218.48212.07219.14210.36211.76MIN: 217.14 / MAX: 219.38MIN: 209.14 / MAX: 214.03MIN: 218.14 / MAX: 220.02MIN: 210.07 / MAX: 211.29MIN: 208.97 / MAX: 214.691. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 217.83 / Avg: 218.48 / Max: 218.95Min: 209.33 / Avg: 212.06 / Max: 213.92Min: 218.52 / Avg: 219.14 / Max: 219.52Min: 210.31 / Avg: 210.36 / Max: 210.4Min: 209.16 / Avg: 211.76 / Max: 214.551. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -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: 1D FFT Size 4096AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2K4K6K8K10KSE +/- 40.76, N = 3SE +/- 23.18, N = 3SE +/- 78.39, N = 3SE +/- 38.52, N = 3SE +/- 57.39, N = 311261114721114811611115291. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2K4K6K8K10KMin: 11199 / Avg: 11261.33 / Max: 11338Min: 11428 / Avg: 11471.67 / Max: 11507Min: 11036 / Avg: 11148 / Max: 11299Min: 11548 / Avg: 11611.33 / Max: 11681Min: 11443 / Avg: 11529.33 / Max: 116381. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.35, N = 3SE +/- 0.12, N = 3SE +/- 0.33, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 385.784.084.883.382.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1632486480Min: 85.1 / Avg: 85.73 / Max: 86.3Min: 83.8 / Avg: 83.97 / Max: 84.2Min: 84.3 / Avg: 84.77 / Max: 85.4Min: 83.2 / Avg: 83.27 / Max: 83.4Min: 82.3 / Avg: 82.43 / Max: 82.6

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X110220330440550SE +/- 0.63, N = 3SE +/- 0.68, N = 3SE +/- 0.51, N = 3SE +/- 1.29, N = 3SE +/- 1.38, N = 3503.07513.38497.84517.61507.20
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X90180270360450Min: 502.34 / Avg: 503.07 / Max: 504.32Min: 512.03 / Avg: 513.38 / Max: 514.24Min: 496.87 / Avg: 497.84 / Max: 498.59Min: 515.1 / Avg: 517.61 / Max: 519.4Min: 505.17 / Avg: 507.2 / Max: 509.83

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X120240360480600SE +/- 0.43, N = 3SE +/- 0.18, N = 3SE +/- 1.17, N = 3SE +/- 0.05, N = 3SE +/- 4.26, N = 3543.24551.53543.07564.24563.281. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X100200300400500Min: 542.5 / Avg: 543.24 / Max: 543.99Min: 551.27 / Avg: 551.52 / Max: 551.86Min: 541.32 / Avg: 543.07 / Max: 545.28Min: 564.15 / Avg: 564.24 / Max: 564.31Min: 557.63 / Avg: 563.28 / Max: 571.641. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X70140210280350SE +/- 3.00, N = 3SE +/- 1.00, N = 3SE +/- 4.70, N = 3SE +/- 1.53, N = 3SE +/- 1.86, N = 33133193123163241. chrome 86.0.4240.183
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300Min: 310 / Avg: 313 / Max: 319Min: 318 / Avg: 319 / Max: 321Min: 306 / Avg: 311.67 / Max: 321Min: 314 / Avg: 316 / Max: 319Min: 322 / Avg: 324.33 / Max: 3281. chrome 86.0.4240.183

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: squeezenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.0982.1963.2944.3925.49SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 34.724.744.704.714.88MIN: 4.69 / MAX: 12.69MIN: 4.69 / MAX: 8.66MIN: 4.69 / MAX: 4.87MIN: 4.69 / MAX: 4.9MIN: 4.79 / MAX: 9.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.71 / Avg: 4.72 / Max: 4.74Min: 4.71 / Avg: 4.74 / Max: 4.76Min: 4.7 / Avg: 4.7 / Max: 4.71Min: 4.71 / Avg: 4.71 / Max: 4.71Min: 4.85 / Avg: 4.88 / Max: 4.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Radiance Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X100200300400500444.14430.85446.85430.37443.50

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-PassAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.16332.32663.48994.65325.8165SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.985.135.005.145.171. (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-PassAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.98 / Avg: 4.98 / Max: 4.99Min: 5.12 / Avg: 5.13 / Max: 5.14Min: 4.96 / Avg: 5 / Max: 5.05Min: 5.13 / Avg: 5.14 / Max: 5.16Min: 5.16 / Avg: 5.17 / Max: 5.191. (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-PassAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.74031.48062.22092.96123.7015SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.173.253.173.283.291. (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-PassAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 3.15 / Avg: 3.17 / Max: 3.18Min: 3.24 / Avg: 3.25 / Max: 3.26Min: 3.16 / Avg: 3.17 / Max: 3.18Min: 3.26 / Avg: 3.28 / Max: 3.29Min: 3.27 / Avg: 3.29 / Max: 3.31. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -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: Stock - Size: 2D FFT Size 4096AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X16003200480064008000SE +/- 51.17, N = 3SE +/- 77.74, N = 3SE +/- 3.96, N = 3SE +/- 18.30, N = 3SE +/- 61.16, N = 37505.37568.67351.37629.07533.71. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X13002600390052006500Min: 7450.9 / Avg: 7505.33 / Max: 7607.6Min: 7415.7 / Avg: 7568.63 / Max: 7669.4Min: 7345.5 / Avg: 7351.33 / Max: 7358.9Min: 7597.4 / Avg: 7629.03 / Max: 7660.8Min: 7437.6 / Avg: 7533.73 / Max: 7647.31. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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: rotateAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.033, N = 3SE +/- 0.028, N = 3SE +/- 0.014, N = 3SE +/- 0.022, N = 3SE +/- 0.065, N = 39.1288.8929.1188.8779.203
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 9.1 / Avg: 9.13 / Max: 9.19Min: 8.85 / Avg: 8.89 / Max: 8.94Min: 9.1 / Avg: 9.12 / Max: 9.15Min: 8.83 / Avg: 8.88 / Max: 8.91Min: 9.1 / Avg: 9.2 / Max: 9.32

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: resnet18AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.05, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 3SE +/- 0.02, N = 312.9013.0812.8513.3213.06MIN: 12.74 / MAX: 21.89MIN: 12.77 / MAX: 14.32MIN: 12.72 / MAX: 13.05MIN: 12.78 / MAX: 22.69MIN: 12.95 / MAX: 13.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 12.82 / Avg: 12.9 / Max: 12.99Min: 12.84 / Avg: 13.08 / Max: 13.51Min: 12.8 / Avg: 12.85 / Max: 12.89Min: 12.85 / Avg: 13.32 / Max: 13.61Min: 13.02 / Avg: 13.06 / Max: 13.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 ConversionAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.19, N = 3SE +/- 0.49, N = 336.5735.4236.1835.2935.501. (CC) gcc options: -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image ConversionAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240Min: 36.35 / Avg: 36.57 / Max: 36.87Min: 35.27 / Avg: 35.42 / Max: 35.63Min: 35.92 / Avg: 36.18 / Max: 36.56Min: 35.1 / Avg: 35.29 / Max: 35.67Min: 34.71 / Avg: 35.5 / Max: 36.41. (CC) gcc options: -lm

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 39.719.659.739.649.391. (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 0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 9.66 / Avg: 9.71 / Max: 9.79Min: 9.63 / Avg: 9.65 / Max: 9.67Min: 9.71 / Avg: 9.73 / Max: 9.74Min: 9.61 / Avg: 9.64 / Max: 9.67Min: 9.38 / Avg: 9.39 / Max: 9.411. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

Crafty

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

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2M4M6M8M10MSE +/- 20694.84, N = 3SE +/- 15860.46, N = 3SE +/- 39564.13, N = 3SE +/- 23792.46, N = 3SE +/- 163808.43, N = 311015320114040471119721311413403112620691. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2M4M6M8M10MMin: 10973992 / Avg: 11015319.67 / Max: 11037945Min: 11383215 / Avg: 11404047.33 / Max: 11435180Min: 11118686 / Avg: 11197212.67 / Max: 11244910Min: 11365901 / Avg: 11413402.67 / Max: 11439590Min: 11000048 / Avg: 11262069.33 / Max: 115633981. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300SE +/- 0.93, N = 3SE +/- 0.50, N = 3SE +/- 0.56, N = 3SE +/- 0.71, N = 3SE +/- 0.70, N = 3255.49264.56256.59264.71263.641. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250Min: 254.04 / Avg: 255.49 / Max: 257.23Min: 263.56 / Avg: 264.56 / Max: 265.14Min: 255.51 / Avg: 256.59 / Max: 257.4Min: 263.32 / Avg: 264.71 / Max: 265.69Min: 262.27 / Avg: 263.64 / Max: 264.61. (CC) gcc options: -O3 -rdynamic

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.26452.5293.79355.0586.3225SE +/- 0.017, N = 3SE +/- 0.014, N = 3SE +/- 0.016, N = 3SE +/- 0.007, N = 3SE +/- 0.011, N = 35.5715.4285.6205.5175.6111. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 5.54 / Avg: 5.57 / Max: 5.6Min: 5.41 / Avg: 5.43 / Max: 5.46Min: 5.6 / Avg: 5.62 / Max: 5.65Min: 5.51 / Avg: 5.52 / Max: 5.53Min: 5.59 / Avg: 5.61 / Max: 5.631. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X600K1200K1800K2400K3000KSE +/- 43675.82, N = 3SE +/- 19621.86, N = 3SE +/- 23393.80, N = 32661315.252742897.582755332.171. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X500K1000K1500K2000K2500KMin: 2610966.25 / Avg: 2661315.25 / Max: 2748307.75Min: 2703654 / Avg: 2742897.58 / Max: 2762607.75Min: 2724795.5 / Avg: 2755332.17 / Max: 2801299.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X700K1400K2100K2800K3500KSE +/- 44267.29, N = 12SE +/- 22603.88, N = 3SE +/- 11024.61, N = 33000656.903074202.833106298.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X500K1000K1500K2000K2500KMin: 2519375.25 / Avg: 3000656.9 / Max: 3068662.5Min: 3030400 / Avg: 3074202.83 / Max: 3105788.75Min: 3087111 / Avg: 3106298.5 / Max: 31253001. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -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: mnasnetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.6121.2241.8362.4483.06SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 32.712.662.692.632.72MIN: 2.49 / MAX: 3.96MIN: 2.49 / MAX: 3.93MIN: 2.5 / MAX: 4.1MIN: 2.49 / MAX: 3.96MIN: 2.53 / MAX: 4.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.68 / Avg: 2.71 / Max: 2.74Min: 2.62 / Avg: 2.66 / Max: 2.7Min: 2.66 / Avg: 2.69 / Max: 2.71Min: 2.62 / Avg: 2.63 / Max: 2.65Min: 2.66 / Avg: 2.72 / Max: 2.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X12M24M36M48M60MSE +/- 121332.16, N = 3SE +/- 115616.65, N = 3SE +/- 30315.09, N = 3SE +/- 29185.92, N = 3SE +/- 419132.37, N = 354024585.755847496.454591384.155228772.654164885.0
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X10M20M30M40M50MMin: 53864870.1 / Avg: 54024585.73 / Max: 54262660.7Min: 55699196.6 / Avg: 55847496.37 / Max: 56075292Min: 54558446.3 / Avg: 54591384.07 / Max: 54651936.3Min: 55171089.2 / Avg: 55228772.6 / Max: 55265355.3Min: 53336815 / Avg: 54164884.97 / Max: 54691795.7

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: CropAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.046, N = 3SE +/- 0.055, N = 3SE +/- 0.058, N = 3SE +/- 0.059, N = 3SE +/- 0.020, N = 36.4266.4246.4366.4376.634
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 6.34 / Avg: 6.43 / Max: 6.5Min: 6.32 / Avg: 6.42 / Max: 6.48Min: 6.33 / Avg: 6.44 / Max: 6.53Min: 6.33 / Avg: 6.44 / Max: 6.53Min: 6.61 / Avg: 6.63 / Max: 6.67

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 32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3K6K9K12K15KSE +/- 24.77, N = 3SE +/- 76.49, N = 3SE +/- 33.79, N = 3SE +/- 55.14, N = 3SE +/- 47.22, N = 312711130641277913062131251. (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 32AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X2K4K6K8K10KMin: 12662 / Avg: 12711.33 / Max: 12740Min: 12914 / Avg: 13064 / Max: 13165Min: 12721 / Avg: 12778.67 / Max: 12838Min: 12967 / Avg: 13062 / Max: 13158Min: 13068 / Avg: 13125.33 / Max: 132191. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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: CartoonAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1632486480SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.34, N = 3SE +/- 0.25, N = 370.0169.0970.0169.2371.34
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1428425670Min: 69.97 / Avg: 70.01 / Max: 70.09Min: 68.82 / Avg: 69.09 / Max: 69.35Min: 69.94 / Avg: 70.01 / Max: 70.08Min: 68.6 / Avg: 69.23 / Max: 69.79Min: 70.9 / Avg: 71.34 / Max: 71.75

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 331.2530.2731.2330.4130.52
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835Min: 31.13 / Avg: 31.25 / Max: 31.36Min: 30.19 / Avg: 30.27 / Max: 30.41Min: 31.22 / Avg: 31.23 / Max: 31.25Min: 30.36 / Avg: 30.41 / Max: 30.46Min: 30.34 / Avg: 30.52 / Max: 30.66

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150SE +/- 0.33, N = 3128126126126124
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 125 / Avg: 125.67 / Max: 126

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.40460.80921.21381.61842.023SE +/- 0.010, N = 3SE +/- 0.014, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.014, N = 31.7981.7421.7901.7591.7601. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 1.79 / Avg: 1.8 / Max: 1.82Min: 1.73 / Avg: 1.74 / Max: 1.77Min: 1.79 / Avg: 1.79 / Max: 1.79Min: 1.76 / Avg: 1.76 / Max: 1.76Min: 1.74 / Avg: 1.76 / Max: 1.791. (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: Vulkan GPU - Model: alexnetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.15882.31763.47644.63525.794SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.995.004.995.005.15MIN: 4.93 / MAX: 5.2MIN: 4.93 / MAX: 5.17MIN: 4.94 / MAX: 5.21MIN: 4.94 / MAX: 5.18MIN: 5.08 / MAX: 5.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.99 / Avg: 4.99 / Max: 5Min: 4.99 / Avg: 4.99 / Max: 5Min: 5.15 / Avg: 5.15 / Max: 5.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.15, N = 3SE +/- 0.29, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 379.080.879.779.678.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1530456075Min: 78.8 / Avg: 79.03 / Max: 79.3Min: 80.3 / Avg: 80.77 / Max: 81.3Min: 79.6 / Avg: 79.73 / Max: 79.9Min: 79.3 / Avg: 79.63 / Max: 79.9Min: 78.2 / Avg: 78.3 / Max: 78.4

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: mobilenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.10252.2053.30754.415.5125SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 34.754.774.754.754.90MIN: 4.72 / MAX: 4.88MIN: 4.75 / MAX: 4.93MIN: 4.72 / MAX: 10.23MIN: 4.73 / MAX: 4.93MIN: 4.84 / MAX: 5.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.74 / Avg: 4.75 / Max: 4.75Min: 4.77 / Avg: 4.77 / Max: 4.78Min: 4.73 / Avg: 4.75 / Max: 4.78Min: 4.75 / Avg: 4.75 / Max: 4.76Min: 4.87 / Avg: 4.9 / Max: 4.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X80160240320400SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 3360352358352349
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300Min: 351 / Avg: 352.33 / Max: 353Min: 357 / Avg: 358 / Max: 359Min: 351 / Avg: 352 / Max: 353Min: 348 / Avg: 349.33 / Max: 351

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 313.112.813.213.012.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 13 / Avg: 13.1 / Max: 13.2Min: 12.8 / Avg: 12.83 / Max: 12.9Min: 13.1 / Avg: 13.17 / Max: 13.2Min: 12.9 / Avg: 12.97 / Max: 13Min: 12.8 / Avg: 12.87 / Max: 12.9

Selenium

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

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X15K30K45K60K75KSE +/- 162.80, N = 3SE +/- 548.24, N = 3SE +/- 83.32, N = 3SE +/- 380.53, N = 3SE +/- 188.50, N = 370507716117036872165699911. chrome 86.0.4240.183
OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X13K26K39K52K65KMin: 70216 / Avg: 70507 / Max: 70779Min: 70538 / Avg: 71611 / Max: 72343Min: 70216 / Avg: 70368.33 / Max: 70503Min: 71578 / Avg: 72165 / Max: 72878Min: 69614 / Avg: 69991 / Max: 701801. chrome 86.0.4240.183

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150137.56137.95136.66138.19140.89

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.28, N = 3SE +/- 0.26, N = 325.5024.9125.1224.7625.031. chrome 86.0.4240.183
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 25.1 / Avg: 25.5 / Max: 25.82Min: 24.62 / Avg: 24.91 / Max: 25.05Min: 24.74 / Avg: 25.12 / Max: 25.44Min: 24.21 / Avg: 24.76 / Max: 25.09Min: 24.67 / Avg: 25.03 / Max: 25.521. chrome 86.0.4240.183

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: vgg16AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1428425670SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.03, N = 361.9661.3461.4461.5460.17MIN: 61.16 / MAX: 63.15MIN: 60.89 / MAX: 63.48MIN: 60.68 / MAX: 62.74MIN: 60.71 / MAX: 62.45MIN: 59.53 / MAX: 64.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860Min: 61.75 / Avg: 61.96 / Max: 62.17Min: 61.33 / Avg: 61.34 / Max: 61.35Min: 61.37 / Avg: 61.44 / Max: 61.48Min: 61.19 / Avg: 61.54 / Max: 61.94Min: 60.12 / Avg: 60.17 / Max: 60.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X500K1000K1500K2000K2500KSE +/- 492.10, N = 3SE +/- 1996.99, N = 3SE +/- 2378.31, N = 3SE +/- 2159.15, N = 3SE +/- 22511.88, N = 32405173.752388782.562402654.482385407.422335977.21MIN: 31789 / MAX: 8585608MIN: 32411 / MAX: 8469962MIN: 32546 / MAX: 8555916MIN: 32703 / MAX: 8478456MIN: 31301 / MAX: 8466024
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X400K800K1200K1600K2000KMin: 2404583.3 / Avg: 2405173.75 / Max: 2406150.9Min: 2385917.94 / Avg: 2388782.56 / Max: 2392625.15Min: 2398754.77 / Avg: 2402654.48 / Max: 2406962.98Min: 2383219.16 / Avg: 2385407.42 / Max: 2389725.59Min: 2309287.36 / Avg: 2335977.21 / Max: 2380724.26

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 RealtimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 324.3925.1124.5725.0524.971. (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 RealtimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 24.21 / Avg: 24.39 / Max: 24.56Min: 24.97 / Avg: 25.11 / Max: 25.27Min: 24.54 / Avg: 24.57 / Max: 24.63Min: 24.91 / Avg: 25.05 / Max: 25.26Min: 24.85 / Avg: 24.97 / Max: 25.191. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 384.583.384.882.982.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1632486480Min: 84.4 / Avg: 84.5 / Max: 84.6Min: 83.1 / Avg: 83.3 / Max: 83.5Min: 84.3 / Avg: 84.8 / Max: 85.1Min: 82.9 / Avg: 82.9 / Max: 82.9Min: 82.2 / Avg: 82.43 / Max: 82.6

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: Vulkan GPU - Model: shufflenet-v2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.49950.9991.49851.9982.4975SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.192.182.162.162.22MIN: 2.06 / MAX: 3.01MIN: 2.07 / MAX: 2.95MIN: 2.06 / MAX: 3.11MIN: 2.06 / MAX: 3MIN: 2.09 / MAX: 6.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.18 / Avg: 2.19 / Max: 2.2Min: 2.16 / Avg: 2.18 / Max: 2.22Min: 2.16 / Avg: 2.16 / Max: 2.17Min: 2.16 / Avg: 2.16 / Max: 2.17Min: 2.21 / Avg: 2.22 / Max: 2.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250SE +/- 0.50, N = 3SE +/- 0.08, N = 3SE +/- 0.47, N = 3SE +/- 0.14, N = 3SE +/- 0.39, N = 3240.23245.30239.88246.27240.971. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 239.52 / Avg: 240.23 / Max: 241.19Min: 245.17 / Avg: 245.3 / Max: 245.45Min: 239.22 / Avg: 239.88 / Max: 240.78Min: 246.01 / Avg: 246.27 / Max: 246.48Min: 240.47 / Avg: 240.97 / Max: 241.751. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2

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 CompressionAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 328.0927.3627.8827.3727.741. (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 CompressionAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 28.03 / Avg: 28.09 / Max: 28.15Min: 27.32 / Avg: 27.36 / Max: 27.43Min: 27.84 / Avg: 27.88 / Max: 27.91Min: 27.33 / Avg: 27.37 / Max: 27.4Min: 27.48 / Avg: 27.74 / Max: 27.891. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Selenium

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

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X9K18K27K36K45KSE +/- 51.29, N = 3SE +/- 145.80, N = 3SE +/- 92.11, N = 3SE +/- 97.52, N = 3SE +/- 140.41, N = 339995406353978640830398471. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X7K14K21K28K35KMin: 39895 / Avg: 39995.33 / Max: 40064Min: 40432 / Avg: 40635.33 / Max: 40918Min: 39624 / Avg: 39785.67 / Max: 39943Min: 40684 / Avg: 40830 / Max: 41015Min: 39682 / Avg: 39846.67 / Max: 401261. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. Ryzen 9 5900X: firefox 82.0.2

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300SE +/- 2.14, N = 3SE +/- 0.84, N = 3SE +/- 1.64, N = 3SE +/- 1.52, N = 3SE +/- 0.60, N = 3263.77259.10264.49257.76262.141. chrome 86.0.4240.183
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250Min: 261.57 / Avg: 263.77 / Max: 268.05Min: 258 / Avg: 259.1 / Max: 260.76Min: 261.9 / Avg: 264.49 / Max: 267.53Min: 254.98 / Avg: 257.76 / Max: 260.2Min: 261.34 / Avg: 262.14 / Max: 263.311. chrome 86.0.4240.183

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240SE +/- 0.16, N = 3SE +/- 0.31, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.40, N = 335.3634.8735.5034.8035.691. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240Min: 35.18 / Avg: 35.36 / Max: 35.67Min: 34.34 / Avg: 34.87 / Max: 35.41Min: 35.14 / Avg: 35.5 / Max: 35.7Min: 34.59 / Avg: 34.8 / Max: 35.08Min: 35.17 / Avg: 35.69 / Max: 36.481. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. Ryzen 9 5900X: firefox 82.0.2

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: resnet50AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 36.666.676.666.656.82MIN: 6.55 / MAX: 6.88MIN: 6.54 / MAX: 10.69MIN: 6.53 / MAX: 6.9MIN: 6.52 / MAX: 6.82MIN: 6.65 / MAX: 15.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 6.65 / Avg: 6.66 / Max: 6.66Min: 6.66 / Avg: 6.67 / Max: 6.68Min: 6.65 / Avg: 6.66 / Max: 6.67Min: 6.65 / Avg: 6.65 / Max: 6.66Min: 6.79 / Avg: 6.82 / Max: 6.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3241235241235237
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 240 / Avg: 240.67 / Max: 242Min: 234 / Avg: 234.67 / Max: 235Min: 236 / Avg: 236.67 / Max: 238

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X70140210280350SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 1.20, N = 3327322324321319
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300Min: 321 / Avg: 321.67 / Max: 322Min: 323 / Avg: 323.67 / Max: 325Min: 317 / Avg: 319.33 / Max: 321

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X70140210280350SE +/- 3.28, N = 3SE +/- 2.62, N = 3SE +/- 2.62, N = 3SE +/- 3.03, N = 3SE +/- 5.00, N = 3302.7296.0303.3299.4299.91. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250Min: 298.9 / Avg: 302.67 / Max: 309.2Min: 292.9 / Avg: 296 / Max: 301.2Min: 298.1 / Avg: 303.33 / Max: 306.1Min: 293.3 / Avg: 299.37 / Max: 302.5Min: 292.7 / Avg: 299.87 / Max: 309.51. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1020304050SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.24, N = 3SE +/- 0.12, N = 342.7441.9442.6941.9842.97
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645Min: 42.69 / Avg: 42.74 / Max: 42.86Min: 41.73 / Avg: 41.94 / Max: 42.33Min: 42.52 / Avg: 42.69 / Max: 42.8Min: 41.5 / Avg: 41.98 / Max: 42.3Min: 42.82 / Avg: 42.97 / Max: 43.2

Selenium

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.96751.9352.90253.874.8375SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 34.34.34.34.24.31. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.2 / Avg: 4.27 / Max: 4.3Min: 4.2 / Avg: 4.27 / Max: 4.3Min: 4.3 / Avg: 4.33 / Max: 4.4Min: 4.2 / Avg: 4.2 / Max: 4.2Min: 4.3 / Avg: 4.33 / Max: 4.41. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.15, N = 3SE +/- 0.74, N = 3SE +/- 0.15, N = 3SE +/- 0.94, N = 3SE +/- 0.26, N = 389.590.189.989.391.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 89.2 / Avg: 89.5 / Max: 89.7Min: 89.3 / Avg: 90.13 / Max: 91.6Min: 89.6 / Avg: 89.87 / Max: 90.1Min: 88.2 / Avg: 89.33 / Max: 91.2Min: 90.9 / Avg: 91.37 / Max: 91.8

Selenium

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

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1020304050SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 343.2043.6942.8042.9343.801. chrome 86.0.4240.183
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645Min: 43.1 / Avg: 43.2 / Max: 43.3Min: 43.68 / Avg: 43.69 / Max: 43.7Min: 42.7 / Avg: 42.8 / Max: 42.89Min: 42.78 / Avg: 42.93 / Max: 43.1Min: 43.3 / Avg: 43.83 / Max: 44.21. chrome 86.0.4240.183

yquake2

This is a test of Yamagi Quake II. Yamagi Quake II is an enhanced client for id Software's Quake II with focus on offline and coop gameplay. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 1.x - Resolution: 1920 x 1080AMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X2004006008001000SE +/- 8.51, N = 3SE +/- 5.96, N = 3SE +/- 4.30, N = 3839.9850.3859.51. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 1.x - Resolution: 1920 x 1080AMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X150300450600750Min: 822.9 / Avg: 839.87 / Max: 849.5Min: 840.4 / Avg: 850.3 / Max: 861Min: 855.2 / Avg: 859.5 / Max: 868.11. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 335.935.235.635.335.1
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X816243240Min: 35.8 / Avg: 35.87 / Max: 36Min: 35.2 / Avg: 35.2 / Max: 35.2Min: 35.5 / Avg: 35.6 / Max: 35.7Min: 35.1 / Avg: 35.27 / Max: 35.4Min: 35 / Avg: 35.1 / Max: 35.2

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: AntialiasAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X714212835SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 328.5927.9628.5627.9828.51
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 28.5 / Avg: 28.59 / Max: 28.64Min: 27.8 / Avg: 27.96 / Max: 28.05Min: 28.48 / Avg: 28.56 / Max: 28.61Min: 27.95 / Avg: 27.98 / Max: 28.03Min: 28.32 / Avg: 28.51 / Max: 28.77

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 313.6813.3913.5913.3813.66
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 13.59 / Avg: 13.68 / Max: 13.79Min: 13.27 / Avg: 13.39 / Max: 13.57Min: 13.51 / Avg: 13.59 / Max: 13.7Min: 13.27 / Avg: 13.38 / Max: 13.45Min: 13.51 / Avg: 13.66 / Max: 13.83

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 317.1616.9017.2716.9217.14
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 17.12 / Avg: 17.16 / Max: 17.2Min: 16.87 / Avg: 16.9 / Max: 16.93Min: 17.16 / Avg: 17.27 / Max: 17.37Min: 16.87 / Avg: 16.92 / Max: 16.97Min: 17.04 / Avg: 17.14 / Max: 17.28

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X130260390520650SE +/- 0.65, N = 3SE +/- 2.08, N = 3SE +/- 0.49, N = 3SE +/- 1.62, N = 3SE +/- 2.95, N = 3608.9598.8609.3597.5596.41. chrome 86.0.4240.183
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X110220330440550Min: 608.2 / Avg: 608.9 / Max: 610.2Min: 595.3 / Avg: 598.83 / Max: 602.5Min: 608.5 / Avg: 609.33 / Max: 610.2Min: 594.4 / Avg: 597.53 / Max: 599.8Min: 590.6 / Avg: 596.43 / Max: 600.11. chrome 86.0.4240.183

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X50100150200250SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.53, N = 3SE +/- 1.35, N = 3213.74215.64213.81215.32218.34MIN: 213.54 / MAX: 218.18MIN: 214.78 / MAX: 216.29MIN: 213.6 / MAX: 216.12MIN: 213.41 / MAX: 217.32MIN: 215.2 / MAX: 236.841. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 213.69 / Avg: 213.74 / Max: 213.78Min: 215.4 / Avg: 215.64 / Max: 216.07Min: 213.68 / Avg: 213.81 / Max: 213.92Min: 214.27 / Avg: 215.32 / Max: 215.95Min: 216.67 / Avg: 218.34 / Max: 221.021. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X70140210280350SE +/- 0.61, N = 3SE +/- 0.92, N = 3SE +/- 0.09, N = 3SE +/- 0.61, N = 3SE +/- 0.95, N = 3322.60326.81322.63326.56320.011. chrome 86.0.4240.183
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X60120180240300Min: 321.97 / Avg: 322.6 / Max: 323.82Min: 325.06 / Avg: 326.81 / Max: 328.19Min: 322.47 / Avg: 322.63 / Max: 322.76Min: 325.93 / Avg: 326.56 / Max: 327.78Min: 318.11 / Avg: 320.01 / Max: 321.051. chrome 86.0.4240.183

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3193190191189189
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200Min: 191 / Avg: 192.67 / Max: 194Min: 189 / Avg: 190 / Max: 191Min: 188 / Avg: 188.67 / Max: 189

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.54681.09361.64042.18722.734SE +/- 0.00, N = 3SE +/- 0.00, N = 2SE +/- 0.01, N = 2SE +/- 0.00, N = 2SE +/- 0.00, N = 32.392.382.392.392.43MIN: 2.32 / MAX: 2.87MIN: 2.32 / MAX: 2.57MIN: 2.32 / MAX: 2.6MIN: 2.31 / MAX: 2.57MIN: 2.35 / MAX: 2.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.39 / Avg: 2.39 / Max: 2.39Min: 2.38 / Avg: 2.38 / Max: 2.38Min: 2.38 / Avg: 2.39 / Max: 2.39Min: 2.39 / Avg: 2.39 / Max: 2.39Min: 2.43 / Avg: 2.43 / Max: 2.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X110220330440550SE +/- 0.37, N = 3SE +/- 0.46, N = 3SE +/- 0.67, N = 3SE +/- 0.86, N = 3SE +/- 1.13, N = 3485.33478.57488.59480.10482.601. (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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X90180270360450Min: 484.72 / Avg: 485.33 / Max: 486.01Min: 477.88 / Avg: 478.57 / Max: 479.45Min: 487.68 / Avg: 488.59 / Max: 489.9Min: 478.42 / Avg: 480.1 / Max: 481.24Min: 480.64 / Avg: 482.6 / Max: 484.551. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.00442.00883.01324.01765.022SE +/- 0.045, N = 3SE +/- 0.046, N = 3SE +/- 0.067, N = 3SE +/- 0.025, N = 3SE +/- 0.044, N = 34.4644.3734.4034.3754.461
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4.39 / Avg: 4.46 / Max: 4.54Min: 4.28 / Avg: 4.37 / Max: 4.44Min: 4.3 / Avg: 4.4 / Max: 4.53Min: 4.33 / Avg: 4.37 / Max: 4.41Min: 4.39 / Avg: 4.46 / Max: 4.54

Selenium

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

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100SE +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 0.83, N = 3SE +/- 0.88, N = 3SE +/- 0.13, N = 3108.0110.0107.8108.0108.91. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 107 / Avg: 107.67 / Max: 109Min: 108 / Avg: 109.67 / Max: 112Min: 107 / Avg: 107.83 / Max: 109.5Min: 107 / Avg: 108.33 / Max: 110Min: 108.6 / Avg: 108.87 / Max: 1091. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2

Optcarrot

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

OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized BenchmarkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200SE +/- 0.86, N = 4SE +/- 1.16, N = 4SE +/- 0.79, N = 4SE +/- 1.35, N = 4SE +/- 1.24, N = 4162.43164.72163.17162.85165.701. ruby 2.7.1p83 (2020-03-31 revision a0c7c23c9c) [x86_64-linux-gnu]
OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized BenchmarkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150Min: 159.91 / Avg: 162.43 / Max: 163.83Min: 161.75 / Avg: 164.72 / Max: 167.35Min: 161.04 / Avg: 163.17 / Max: 164.78Min: 159.35 / Avg: 162.85 / Max: 165.76Min: 162.26 / Avg: 165.7 / Max: 167.671. ruby 2.7.1p83 (2020-03-31 revision a0c7c23c9c) [x86_64-linux-gnu]

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150SE +/- 1.45, N = 3SE +/- 0.42, N = 3SE +/- 1.27, N = 3SE +/- 0.37, N = 3SE +/- 0.20, N = 3113.98115.16112.89113.85113.041. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X20406080100Min: 111.8 / Avg: 113.98 / Max: 116.74Min: 114.34 / Avg: 115.16 / Max: 115.75Min: 110.36 / Avg: 112.89 / Max: 114.33Min: 113.29 / Avg: 113.85 / Max: 114.56Min: 112.64 / Avg: 113.04 / Max: 113.311. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200SE +/- 0.12, N = 3SE +/- 0.78, N = 3SE +/- 0.33, N = 3SE +/- 0.29, N = 3SE +/- 0.51, N = 3184.43186.85185.52187.41183.891. chrome 86.0.4240.183
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150Min: 184.21 / Avg: 184.42 / Max: 184.61Min: 185.35 / Avg: 186.85 / Max: 187.97Min: 184.9 / Avg: 185.52 / Max: 185.99Min: 186.92 / Avg: 187.41 / Max: 187.92Min: 182.93 / Avg: 183.89 / Max: 184.661. chrome 86.0.4240.183

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1020304050SE +/- 0.02, N = 3SE +/- 0.35, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.23, N = 342.0341.3042.0141.4441.861. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X918273645Min: 42 / Avg: 42.03 / Max: 42.06Min: 40.61 / Avg: 41.3 / Max: 41.66Min: 41.96 / Avg: 42.01 / Max: 42.03Min: 41.39 / Avg: 41.44 / Max: 41.49Min: 41.4 / Avg: 41.86 / Max: 42.11. 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: ReflectAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.24, N = 323.7423.4623.7723.3723.57
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 23.72 / Avg: 23.74 / Max: 23.76Min: 23.43 / Avg: 23.46 / Max: 23.48Min: 23.68 / Avg: 23.77 / Max: 23.86Min: 23.13 / Avg: 23.37 / Max: 23.51Min: 23.27 / Avg: 23.57 / Max: 24.05

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-v3AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.8191.6382.4573.2764.095SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 33.623.603.583.603.64MIN: 3.35 / MAX: 5.17MIN: 3.34 / MAX: 9.99MIN: 3.35 / MAX: 5.17MIN: 3.33 / MAX: 12.49MIN: 3.38 / MAX: 5.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 3.58 / Avg: 3.62 / Max: 3.67Min: 3.59 / Avg: 3.6 / Max: 3.62Min: 3.54 / Avg: 3.58 / Max: 3.62Min: 3.57 / Avg: 3.6 / Max: 3.64Min: 3.62 / Avg: 3.64 / Max: 3.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

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

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X4080120160200SE +/- 0.22, N = 3SE +/- 0.35, N = 3SE +/- 0.67, N = 3SE +/- 0.52, N = 3SE +/- 0.40, N = 3162.3164.4162.2164.9164.01. chrome 86.0.4240.183
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150Min: 162 / Avg: 162.27 / Max: 162.7Min: 163.8 / Avg: 164.37 / Max: 165Min: 160.9 / Avg: 162.2 / Max: 163.1Min: 164.3 / Avg: 164.87 / Max: 165.9Min: 163.3 / Avg: 164 / Max: 164.71. chrome 86.0.4240.183

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 5.2.0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.19342.38683.58024.77365.967SE +/- 0.021, N = 5SE +/- 0.019, N = 5SE +/- 0.017, N = 5SE +/- 0.024, N = 5SE +/- 0.025, N = 55.2315.2215.2735.2365.304
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 5.2 / Avg: 5.23 / Max: 5.32Min: 5.19 / Avg: 5.22 / Max: 5.3Min: 5.24 / Avg: 5.27 / Max: 5.33Min: 5.17 / Avg: 5.24 / Max: 5.3Min: 5.22 / Avg: 5.3 / Max: 5.36

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 RealtimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1224364860SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.45, N = 352.2153.0452.2153.0352.521. (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 RealtimeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1122334455Min: 52.13 / Avg: 52.21 / Max: 52.37Min: 52.94 / Avg: 53.04 / Max: 53.14Min: 51.7 / Avg: 52.21 / Max: 52.54Min: 52.82 / Avg: 53.03 / Max: 53.33Min: 51.82 / Avg: 52.52 / Max: 53.371. (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: Vulkan GPU - Model: googlenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.262.523.785.046.3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 35.535.565.535.525.60MIN: 5.41 / MAX: 6.31MIN: 5.42 / MAX: 10MIN: 5.41 / MAX: 9.44MIN: 5.41 / MAX: 6.32MIN: 5.47 / MAX: 11.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 5.52 / Avg: 5.53 / Max: 5.54Min: 5.55 / Avg: 5.56 / Max: 5.57Min: 5.52 / Avg: 5.53 / Max: 5.54Min: 5.51 / Avg: 5.52 / Max: 5.53Min: 5.56 / Avg: 5.6 / Max: 5.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X150300450600750SE +/- 1.33, N = 3SE +/- 3.15, N = 3SE +/- 1.13, N = 3SE +/- 5.00, N = 3SE +/- 4.78, N = 3666.5664.8669.7665.8674.31. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X120240360480600Min: 663.9 / Avg: 666.53 / Max: 668.2Min: 659.5 / Avg: 664.8 / Max: 670.4Min: 667.5 / Avg: 669.67 / Max: 671.3Min: 656.6 / Avg: 665.77 / Max: 673.8Min: 667.4 / Avg: 674.33 / Max: 683.51. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. Ryzen 9 5900X: firefox 82.0.2

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 324.824.524.824.624.51. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 24.8 / Avg: 24.83 / Max: 24.9Min: 24.4 / Avg: 24.47 / Max: 24.5Min: 24.5 / Avg: 24.8 / Max: 25.2Min: 24.4 / Avg: 24.6 / Max: 24.8Min: 24.2 / Avg: 24.5 / Max: 24.81. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.19130.38260.57390.76520.9565SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 30.840.850.840.840.85MIN: 0.76 / MAX: 1.25MIN: 0.76 / MAX: 1.25MIN: 0.76 / MAX: 1.26MIN: 0.76 / MAX: 1.34MIN: 0.78 / MAX: 1.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 0.83 / Avg: 0.84 / Max: 0.85Min: 0.83 / Avg: 0.85 / Max: 0.86Min: 0.84 / Avg: 0.84 / Max: 0.85Min: 0.84 / Avg: 0.84 / Max: 0.85Min: 0.81 / Avg: 0.85 / Max: 0.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

yquake2

This is a test of Yamagi Quake II. Yamagi Quake II is an enhanced client for id Software's Quake II with focus on offline and coop gameplay. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 1080AMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X4080120160200SE +/- 2.05, N = 3SE +/- 0.15, N = 3SE +/- 1.08, N = 3176.5177.1178.01. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 1080AMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X306090120150Min: 172.9 / Avg: 176.5 / Max: 180Min: 176.9 / Avg: 177.1 / Max: 177.4Min: 176 / Avg: 178 / Max: 179.71. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

Unigine Superposition

This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X1326395265SE +/- 0.06, N = 3SE +/- 0.03, N = 357.057.056.9MAX: 76.4MAX: 76.4MAX: 76
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X1122334455Min: 56.9 / Avg: 57 / Max: 57.1Min: 56.9 / Avg: 56.93 / Max: 57

yquake2

This is a test of Yamagi Quake II. Yamagi Quake II is an enhanced client for id Software's Quake II with focus on offline and coop gameplay. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 1080AMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X2004006008001000SE +/- 0.00, N = 3SE +/- 0.53, N = 3SE +/- 1.03, N = 3992.2991.7993.21. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 1080AMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X2004006008001000Min: 992.2 / Avg: 992.2 / Max: 992.2Min: 990.6 / Avg: 991.67 / Max: 992.2Min: 992.2 / Avg: 993.23 / Max: 995.31. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

Unigine Heaven

This test calculates the average frame-rate within the Heaven demo for the Unigine engine. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGLAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X20406080100SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 393.4293.3593.34
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGLAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X20406080100Min: 93.21 / Avg: 93.42 / Max: 93.58Min: 93.25 / Avg: 93.35 / Max: 93.51Min: 93.2 / Avg: 93.34 / Max: 93.57

Unigine Superposition

This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X20406080100SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3106.1106.1106.1MAX: 171MAX: 171.2MAX: 171
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLAMD 5600XAMD Ryzen 7 5800XRyzen 7 5800X20406080100Min: 106.1 / Avg: 106.13 / Max: 106.2Min: 106 / Avg: 106.07 / Max: 106.2Min: 106 / Avg: 106.1 / Max: 106.2

Selenium

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.91.82.73.64.5SE +/- 0.03, N = 3SE +/- 0.03, N = 34.04.04.04.04.01. chrome 86.0.4240.183
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 4 / Avg: 4.03 / Max: 4.1Min: 4 / Avg: 4.03 / Max: 4.11. chrome 86.0.4240.183

NWChem

NWChem is an open-source high performance computational chemistry package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0Input: C240 BuckyballRyzen 9 5900X2K4K6K8K10K11128.31. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X6K12K18K24K30KSE +/- 19.38, N = 3SE +/- 138.91, N = 3SE +/- 18.19, N = 3SE +/- 482.40, N = 12SE +/- 336.91, N = 315846202161589119527298641. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X5K10K15K20K25KMin: 15818 / Avg: 15845.67 / Max: 15883Min: 20025 / Avg: 20215.67 / Max: 20486Min: 15859 / Avg: 15891 / Max: 15922Min: 14246 / Avg: 19527 / Max: 20510Min: 29351 / Avg: 29864.33 / Max: 304991. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

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 NetworkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X12002400360048006000SE +/- 224.33, N = 15SE +/- 112.24, N = 15SE +/- 279.72, N = 12SE +/- 198.26, N = 15SE +/- 117.34, N = 13560040195202393336691. (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 NetworkAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X10002000300040005000Min: 4227 / Avg: 5599.93 / Max: 7069Min: 3362 / Avg: 4018.73 / Max: 4789Min: 3530 / Avg: 5202 / Max: 6647Min: 2943 / Avg: 3933.47 / Max: 5446Min: 3190 / Avg: 3668.92 / Max: 46871. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X7K14K21K28K35KSE +/- 505.88, N = 9SE +/- 712.44, N = 9SE +/- 370.50, N = 9SE +/- 1127.24, N = 6SE +/- 686.65, N = 926628287562638426970311911. chrome 86.0.4240.183
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X5K10K15K20K25KMin: 23740 / Avg: 26628.44 / Max: 28889Min: 24042 / Avg: 28755.89 / Max: 30882Min: 24816 / Avg: 26384.22 / Max: 28619Min: 23350 / Avg: 26969.83 / Max: 30395Min: 28313 / Avg: 31191.33 / Max: 341881. chrome 86.0.4240.183

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150SE +/- 6.57, N = 7SE +/- 8.13, N = 9SE +/- 9.57, N = 6SE +/- 1.66, N = 3SE +/- 9.19, N = 9105.38121.23109.05124.98144.621. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: FirefoxAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X306090120150Min: 77.67 / Avg: 105.38 / Max: 122.86Min: 89.96 / Avg: 121.23 / Max: 150.12Min: 82.91 / Avg: 109.05 / Max: 153.15Min: 122.62 / Avg: 124.98 / Max: 128.19Min: 110.75 / Avg: 144.62 / Max: 183.621. AMD 5600X: firefox 82.0.22. AMD Ryzen 7 5800X: firefox 82.0.33. Ryzen 5 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. Ryzen 9 5900X: firefox 82.0.2

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-v2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.58731.17461.76192.34922.9365SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 32.612.412.402.492.51MIN: 2.36 / MAX: 3.2MIN: 2.36 / MAX: 2.91MIN: 2.36 / MAX: 3.2MIN: 2.36 / MAX: 2.84MIN: 2.39 / MAX: 3.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2AMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 2.57 / Avg: 2.61 / Max: 2.65Min: 2.39 / Avg: 2.41 / Max: 2.45Min: 2.39 / Avg: 2.4 / Max: 2.42Min: 2.39 / Avg: 2.49 / Max: 2.55Min: 2.41 / Avg: 2.51 / Max: 2.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X0.35330.70661.05991.41321.7665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 30.980.990.981.051.57MIN: 0.97 / MAX: 1.52MIN: 0.97 / MAX: 2.06MIN: 0.97 / MAX: 2.04MIN: 0.97 / MAX: 1.71MIN: 1.53 / MAX: 1.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 0.98 / Avg: 0.98 / Max: 0.99Min: 0.99 / Avg: 0.99 / Max: 1Min: 0.97 / Avg: 0.98 / Max: 0.98Min: 0.99 / Avg: 1.05 / Max: 1.17Min: 1.55 / Avg: 1.57 / Max: 1.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.45, N = 3SE +/- 0.02, N = 313.2511.8613.3712.4412.30MIN: 13.14 / MAX: 13.5MIN: 11.63 / MAX: 12.98MIN: 13.06 / MAX: 15.59MIN: 11.63 / MAX: 13.53MIN: 12.15 / MAX: 12.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620Min: 13.22 / Avg: 13.25 / Max: 13.29Min: 11.69 / Avg: 11.86 / Max: 12.06Min: 13.15 / Avg: 13.37 / Max: 13.81Min: 11.69 / Avg: 12.44 / Max: 13.26Min: 12.27 / Avg: 12.3 / Max: 12.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LibreOffice

Various benchmarking operations with the LibreOffice open-source office suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X1.30592.61183.91775.22366.5295SE +/- 0.125, N = 25SE +/- 0.227, N = 20SE +/- 0.103, N = 25SE +/- 0.121, N = 25SE +/- 0.128, N = 255.8045.5765.6175.4705.6941. LibreOffice 7.0.2.2 00(Build:2)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810Min: 5.29 / Avg: 5.8 / Max: 7.1Min: 5.12 / Avg: 5.58 / Max: 9.51Min: 5.24 / Avg: 5.62 / Max: 6.98Min: 5.04 / Avg: 5.47 / Max: 7.29Min: 5.11 / Avg: 5.69 / Max: 6.911. LibreOffice 7.0.2.2 00(Build:2)

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 SynthesisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430SE +/- 0.18, N = 4SE +/- 0.58, N = 20SE +/- 0.20, N = 4SE +/- 0.57, N = 20SE +/- 0.51, N = 2022.6724.1822.8624.3024.261. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X612182430Min: 22.24 / Avg: 22.67 / Max: 23.09Min: 21.65 / Avg: 24.18 / Max: 32.93Min: 22.39 / Avg: 22.86 / Max: 23.33Min: 22.19 / Avg: 24.3 / Max: 32.63Min: 21.46 / Avg: 24.26 / Max: 29.761. (CC) gcc options: -O2 -std=c99

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 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X246810SE +/- 0.007, N = 5SE +/- 0.347, N = 25SE +/- 0.019, N = 5SE +/- 0.013, N = 5SE +/- 0.052, N = 56.7596.8536.7956.4146.5791. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 6.74 / Avg: 6.76 / Max: 6.78Min: 6.45 / Avg: 6.85 / Max: 15.19Min: 6.75 / Avg: 6.79 / Max: 6.86Min: 6.38 / Avg: 6.41 / Max: 6.44Min: 6.44 / Avg: 6.58 / Max: 6.731. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X48121620SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.28, N = 15SE +/- 0.02, N = 314.7917.8114.2416.2917.16MIN: 14.27MIN: 15.49MIN: 13.78MIN: 14.64MIN: 16.81. (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: CPUAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X510152025Min: 14.65 / Avg: 14.79 / Max: 14.87Min: 17.7 / Avg: 17.81 / Max: 17.92Min: 14.2 / Avg: 14.24 / Max: 14.28Min: 15.14 / Avg: 16.29 / Max: 17.58Min: 17.14 / Avg: 17.16 / Max: 17.21. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 29Oct2020Model: Rhodopsin ProteinAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215SE +/- 0.031, N = 3SE +/- 0.096, N = 15SE +/- 0.075, N = 4SE +/- 0.121, N = 13SE +/- 0.141, N = 125.8876.8025.8787.07610.3061. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinAMD 5600XAMD Ryzen 7 5800XRyzen 5 5600XRyzen 7 5800XRyzen 9 5900X3691215Min: 5.83 / Avg: 5.89 / Max: 5.93Min: 6.23 / Avg: 6.8 / Max: 7.44Min: 5.72 / Avg: 5.88 / Max: 6.08Min: 5.77 / Avg: 7.08 / Max: 7.41Min: 9.06 / Avg: 10.31 / Max: 10.691. (CXX) g++ options: -O3 -pthread -lm

349 Results Shown

LULESH
oneDNN
QMCPACK
Pennant:
  leblancbig
  sedovbig
OSPray
OpenVKL
OSPray
NCNN
SVT-AV1
oneDNN MKL-DNN
Aircrack-ng
rays1bench
Smallpt
OSPray
Embree
N-Queens
OpenSSL
John The Ripper
Chaos Group V-RAY
GraphicsMagick
OSPray
Tachyon
OSPray
oneDNN
Stockfish
IndigoBench
oneDNN MKL-DNN
IndigoBench
Embree
C-Ray
Blender
m-queens
OSPray
Blender
Primesieve
Blender
GraphicsMagick
OSPray
LuxCoreRender:
  Rainbow Colors and Prism
  DLSC
Blender
OSPray
Blender
GraphicsMagick
SVT-HEVC
NAMD
ASTC Encoder
oneDNN
POV-Ray
oneDNN MKL-DNN
Appleseed
oneDNN
ASTC Encoder
SVT-AV1
TensorFlow Lite
oneDNN MKL-DNN
oneDNN
TensorFlow Lite
oneDNN
Appleseed
GraphicsMagick
LAMMPS Molecular Dynamics Simulator
Timed Linux Kernel Compilation
YafaRay
Timed MPlayer Compilation
Basis Universal
asmFish
TensorFlow Lite:
  SqueezeNet
  Mobilenet Float
  Mobilenet Quant
Numenta Anomaly Benchmark:
  Earthgecko Skyline
  Windowed Gaussian
BRL-CAD
x264
Embree
Redis
Embree
Timed FFmpeg Compilation
Embree
Basis Universal
oneDNN MKL-DNN
Mlpack Benchmark
Numenta Anomaly Benchmark
Embree
Appleseed
Intel Open Image Denoise
oneDNN
Timed LLVM Compilation
Incompact3D
GraphicsMagick
FFmpeg
oneDNN
oneDNN MKL-DNN
Kvazaar:
  Bosphorus 4K - Medium
  Bosphorus 4K - Slow
SVT-VP9
oneDNN MKL-DNN
Kvazaar
oneDNN
Sunflow Rendering System
oneDNN MKL-DNN
x265
TTSIOD 3D Renderer
Kvazaar
Timed ImageMagick Compilation
libavif avifenc:
  0
  2
PlaidML
Kvazaar
SVT-VP9
Kvazaar
NCNN
oneDNN
GROMACS
SVT-VP9
oneDNN MKL-DNN
TensorFlow Lite
NCNN
Mobile Neural Network
NCNN
OCRMyPDF
G'MIC
Timed PHP Compilation
Nebular Empirical Analysis Tool
oneDNN
CP2K Molecular Dynamics
oneDNN
oneDNN MKL-DNN
Selenium
Mobile Neural Network
Numenta Anomaly Benchmark
Mobile Neural Network
OpenVKL
ASTC Encoder
Kvazaar
CloverLeaf
dav1d
Timed GCC Compilation
ECP-CANDLE
NCNN
OpenVKL
NeatBench
libgav1
Kvazaar
GraphicsMagick
Darmstadt Automotive Parallel Heterogeneous Suite
librsvg
Mobile Neural Network
Darktable
oneDNN
x265
Timed GDB GNU Debugger Compilation
dav1d
ASTC Encoder
libgav1
NCNN
libavif avifenc
Timed MAFFT Alignment
dav1d
libgav1
Selenium
NCNN
RawTherapee
DeepSpeech
GIMP
Basis Universal:
  UASTC Level 0
  ETC1S
NCNN
SVT-AV1
libavif avifenc
LeelaChessZero
Numenta Anomaly Benchmark
miniFE
R Benchmark
Tesseract OCR
ECP-CANDLE
Scikit-Learn
Darktable
AOM AV1
Darmstadt Automotive Parallel Heterogeneous Suite
libgav1
Monte Carlo Simulations of Ionised Nebulae
NCNN:
  CPU - yolov4-tiny
  CPU - squeezenet
Timed Apache Compilation
FFTW
ECP-CANDLE
PlaidML
Mobile Neural Network
Darktable
Selenium
Botan
PyPerformance
Darmstadt Automotive Parallel Heterogeneous Suite
Caffe
LibRaw
FFTW
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 1000
dav1d
Himeno Benchmark
Darktable
GIMP
Mlpack Benchmark
Caffe:
  GoogleNet - CPU - 200
  GoogleNet - CPU - 100
FFTW
LuaJIT
Timed MrBayes Analysis
Caffe
VP9 libvpx Encoding
Selenium
GraphicsMagick
Redis
Hugin
Timed HMMer Search
LuaJIT
Botan
AOBench
NCNN
GIMP
Selenium
LuaJIT
FFTW
Ogg Encoding
Botan
PyPerformance
TSCP
Botan
SQLite Speedtest
FFTW
NCNN
LuaJIT:
  Dense LU Matrix Factorization
  Monte Carlo
LAME MP3 Encoding
WebP Image Encode
Selenium
PyBench
WebP Image Encode
Mlpack Benchmark
Swet
GEGL
LuaJIT
NCNN
G'MIC
Redis
GEGL
Selenium
RNNoise
TNN
FFTW
PyPerformance
Numpy Benchmark
Botan
Selenium
NCNN
Radiance Benchmark
AOM AV1:
  Speed 6 Two-Pass
  Speed 4 Two-Pass
FFTW
GIMP
NCNN
dcraw
VP9 libvpx Encoding
Crafty
libjpeg-turbo tjbench
WebP Image Encode
Redis:
  SET
  SADD
NCNN
BYTE Unix Benchmark
GEGL
FFTW
GEGL:
  Cartoon
  Rotate 90 Degrees
PyPerformance
WebP Image Encode
NCNN
PyPerformance
NCNN
PyPerformance:
  raytrace
  pathlib
Selenium
Radiance Benchmark
Selenium
NCNN
OpenVKL
AOM AV1
PyPerformance
NCNN
Selenium
WebP Image Encode
Selenium:
  Octane - Firefox
  WASM collisionDetection - Google Chrome
  ARES-6 - Firefox
NCNN
PyPerformance:
  2to3
  pickle_pure_python
Selenium
GEGL
Selenium
PyPerformance
Selenium
yquake2
PyPerformance
GEGL
Dolfyn
Mlpack Benchmark
Selenium
TNN
Selenium
PyPerformance
NCNN
Basis Universal
GEGL
Selenium
Optcarrot
Selenium:
  Jetstream 2 - Firefox
  Jetstream 2 - Google Chrome
G'MIC
GEGL
NCNN
Selenium
GNU Octave Benchmark
AOM AV1
NCNN
Selenium:
  Kraken - Firefox
  WASM imageConvolute - Firefox
NCNN
yquake2
Unigine Superposition
yquake2
Unigine Heaven
Unigine Superposition
Selenium
NWChem
John The Ripper
OpenCV
Selenium:
  CanvasMark - Google Chrome
  MotionMark - Firefox
NCNN:
  Vulkan GPU-v2-v2 - mobilenet-v2
  CPU - blazeface
  CPU - mobilenet
LibreOffice
eSpeak-NG Speech Engine
FLAC Audio Encoding
oneDNN
LAMMPS Molecular Dynamics Simulator