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 2.0.3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 0.01, N = 3SE +/- 13.77, N = 3SE +/- 4.82, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310.561015.41953.7111.1911.171. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000Min: 10.54 / Avg: 10.56 / Max: 10.56Min: 998.76 / Avg: 1015.41 / Max: 1042.73Min: 948.02 / Avg: 953.71 / Max: 963.29Min: 11.18 / Avg: 11.19 / Max: 11.19Min: 11.16 / Avg: 11.17 / Max: 11.191. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.55181.10361.65542.20722.759SE +/- 0.004283, N = 3SE +/- 0.007777, N = 3SE +/- 0.002421, N = 3SE +/- 0.007526, N = 3SE +/- 0.004608, N = 30.7874922.3135602.3576902.3650202.452320MIN: 0.76MIN: 2.23MIN: 2.27MIN: 2.26MIN: 2.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 0.78 / Avg: 0.79 / Max: 0.79Min: 2.3 / Avg: 2.31 / Max: 2.33Min: 2.35 / Avg: 2.36 / Max: 2.36Min: 2.35 / Avg: 2.37 / Max: 2.38Min: 2.44 / Avg: 2.45 / Max: 2.461. (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 3.8Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000844.79383.40382.94539.34540.621. (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: leblancbigRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X6001200180024003000SE +/- 0.39, N = 3SE +/- 0.25, N = 3SE +/- 0.54, N = 3SE +/- 0.18, N = 3SE +/- 0.54, N = 32898.101323.071323.661838.951839.221. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X5001000150020002500Min: 2897.54 / Avg: 2898.1 / Max: 2898.85Min: 1322.57 / Avg: 1323.07 / Max: 1323.4Min: 1322.6 / Avg: 1323.65 / Max: 1324.35Min: 1838.66 / Avg: 1838.95 / Max: 1839.27Min: 1838.21 / Avg: 1839.22 / Max: 1840.061. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X6001200180024003000SE +/- 1.06, N = 3SE +/- 0.02, N = 3SE +/- 0.47, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 33023.811382.131384.051920.481919.501. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X5001000150020002500Min: 3021.99 / Avg: 3023.81 / Max: 3025.66Min: 1382.1 / Avg: 1382.13 / Max: 1382.16Min: 1383.46 / Avg: 1384.05 / Max: 1384.99Min: 1920.28 / Avg: 1920.48 / Max: 1920.84Min: 1919.14 / Avg: 1919.5 / Max: 1919.831. (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 TracerRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X70140210280350SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12333.33166.67166.67200.00200.00MIN: 250MIN: 142.86 / MAX: 200MIN: 142.86 / MAX: 200MIN: 166.67 / MAX: 250MIN: 166.67 / MAX: 250
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 166.67 / Avg: 166.67 / Max: 166.67Min: 166.67 / Avg: 166.67 / Max: 166.67

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRyzen 9 5900XRyzen 9 5900XaRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250SE +/- 0.22, N = 3SE +/- 0.79, N = 3SE +/- 1.14, N = 3SE +/- 1.07, N = 3SE +/- 0.17, N = 3SE +/- 0.37, N = 3235.08238.97123.86122.81165.25163.94MIN: 1 / MAX: 916MIN: 1 / MAX: 927MIN: 1 / MAX: 500MIN: 1 / MAX: 498MIN: 1 / MAX: 654MIN: 1 / MAX: 647
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRyzen 9 5900XRyzen 9 5900XaRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 234.67 / Avg: 235.08 / Max: 235.42Min: 237.58 / Avg: 238.97 / Max: 240.33Min: 121.58 / Avg: 123.86 / Max: 125.08Min: 121.42 / Avg: 122.81 / Max: 124.92Min: 164.92 / Avg: 165.25 / Max: 165.5Min: 163.25 / Avg: 163.94 / Max: 164.5

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: SciVisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.20, N = 3SE +/- 0.00, N = 15SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 824.8012.8212.8816.8516.91MIN: 22.73 / MAX: 26.32MIN: 12.5 / MAX: 13.7MIN: 12.66 / MAX: 13.7MIN: 16.39 / MAX: 17.86MIN: 16.39 / MAX: 17.86
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 24.39 / Avg: 24.8 / Max: 25Min: 12.82 / Avg: 12.82 / Max: 12.82Min: 12.82 / Avg: 12.88 / Max: 12.99Min: 16.67 / Avg: 16.85 / Max: 16.95Min: 16.67 / Avg: 16.91 / Max: 16.95

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-v2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.8821.7642.6463.5284.41SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 33.922.182.222.052.05MIN: 3.84 / MAX: 4.48MIN: 2.16 / MAX: 2.63MIN: 2.18 / MAX: 3.09MIN: 2 / MAX: 2.89MIN: 2 / MAX: 2.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 3.89 / Avg: 3.92 / Max: 3.93Min: 2.17 / Avg: 2.18 / Max: 2.19Min: 2.21 / Avg: 2.22 / Max: 2.23Min: 2.02 / Avg: 2.05 / Max: 2.09Min: 2.02 / Avg: 2.05 / Max: 2.081. (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: 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1020304050SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 343.0022.6022.4932.2232.261. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645Min: 42.64 / Avg: 43 / Max: 43.21Min: 22.48 / Avg: 22.6 / Max: 22.66Min: 22.37 / Avg: 22.49 / Max: 22.66Min: 32.09 / Avg: 32.22 / Max: 32.38Min: 32.12 / Avg: 32.26 / Max: 32.371. (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: u8s8f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 313.5425.5825.7020.9821.01MIN: 13.2MIN: 25.07MIN: 25.15MIN: 19.96MIN: 19.921. (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: u8s8f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 13.49 / Avg: 13.54 / Max: 13.57Min: 25.56 / Avg: 25.58 / Max: 25.59Min: 25.66 / Avg: 25.7 / Max: 25.73Min: 20.87 / Avg: 20.98 / Max: 21.08Min: 20.88 / Avg: 21.01 / Max: 21.11. (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 1.5.2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X13K26K39K52K65KSE +/- 388.66, N = 3SE +/- 41.35, N = 3SE +/- 43.34, N = 3SE +/- 202.07, N = 3SE +/- 191.78, N = 361660.6032516.1032502.9342027.1042083.551. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X11K22K33K44K55KMin: 61024.23 / Avg: 61660.6 / Max: 62365.37Min: 32458.04 / Avg: 32516.1 / Max: 32596.12Min: 32416.53 / Avg: 32502.93 / Max: 32552.03Min: 41792.08 / Avg: 42027.1 / Max: 42429.34Min: 41825.35 / Avg: 42083.55 / Max: 42458.281. (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 SceneRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3104.7655.6055.2373.5173.83
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 104.47 / Avg: 104.76 / Max: 104.95Min: 55.43 / Avg: 55.6 / Max: 55.74Min: 54.77 / Avg: 55.23 / Max: 55.64Min: 73.31 / Avg: 73.51 / Max: 73.64Min: 73.78 / Avg: 73.83 / Max: 73.92

Smallpt

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.023, N = 3SE +/- 0.035, N = 3SE +/- 0.009, N = 3SE +/- 0.010, N = 3SE +/- 0.041, N = 36.27611.87211.8449.1339.2131. (CXX) g++ options: -fopenmp -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 6.23 / Avg: 6.28 / Max: 6.31Min: 11.81 / Avg: 11.87 / Max: 11.93Min: 11.83 / Avg: 11.84 / Max: 11.86Min: 9.12 / Avg: 9.13 / Max: 9.15Min: 9.14 / Avg: 9.21 / Max: 9.281. (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: SciVisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.01932.03863.05794.07725.0965SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.532.402.403.073.06MIN: 4.41 / MAX: 4.65MIN: 2.39 / MAX: 2.43MIN: 2.38 / MAX: 2.43MIN: 3.04 / MAX: 3.16MIN: 3.02 / MAX: 3.16
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.48 / Avg: 4.53 / Max: 4.59Min: 2.4 / Avg: 2.4 / Max: 2.4Min: 2.39 / Avg: 2.4 / Max: 2.41Min: 3.07 / Avg: 3.07 / Max: 3.09Min: 3.05 / Avg: 3.06 / Max: 3.09

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 319.9910.6710.6313.7213.74MIN: 19.51 / MAX: 20.68MIN: 10.53 / MAX: 10.88MIN: 10.39 / MAX: 10.91MIN: 13.58 / MAX: 14.09MIN: 13.54 / MAX: 14.29
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 19.72 / Avg: 19.99 / Max: 20.22Min: 10.59 / Avg: 10.67 / Max: 10.73Min: 10.44 / Avg: 10.63 / Max: 10.74Min: 13.7 / Avg: 13.72 / Max: 13.74Min: 13.63 / Avg: 13.74 / Max: 13.9

N-Queens

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

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 37.36313.75613.83010.81510.8231. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 7.36 / Avg: 7.36 / Max: 7.37Min: 13.75 / Avg: 13.76 / Max: 13.76Min: 13.83 / Avg: 13.83 / Max: 13.83Min: 10.81 / Avg: 10.81 / Max: 10.82Min: 10.82 / Avg: 10.82 / Max: 10.821. (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 PerformanceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X8001600240032004000SE +/- 17.37, N = 3SE +/- 2.09, N = 3SE +/- 1.19, N = 3SE +/- 6.65, N = 3SE +/- 7.03, N = 33724.21996.81983.82543.42542.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X6001200180024003000Min: 3697.5 / Avg: 3724.2 / Max: 3756.8Min: 1993.4 / Avg: 1996.77 / Max: 2000.6Min: 1981.9 / Avg: 1983.83 / Max: 1986Min: 2534.4 / Avg: 2543.43 / Max: 2556.4Min: 2533.6 / Avg: 2542.4 / Max: 2556.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X400K800K1200K1600K2000KSE +/- 16169.24, N = 3SE +/- 1495.28, N = 3SE +/- 1384.64, N = 3SE +/- 14364.31, N = 3SE +/- 12666.67, N = 31807667968064963003123200012253331. (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: MD5Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X300K600K900K1200K1500KMin: 1791000 / Avg: 1807666.67 / Max: 1840000Min: 965760 / Avg: 968063.67 / Max: 970867Min: 960883 / Avg: 963003 / Max: 965606Min: 1205000 / Avg: 1232000 / Max: 1254000Min: 1200000 / Avg: 1225333.33 / Max: 12380001. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X6K12K18K24K30KSE +/- 231.78, N = 3SE +/- 28.99, N = 3SE +/- 33.91, N = 3SE +/- 19.88, N = 3SE +/- 74.77, N = 32643514105141631823318034
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X5K10K15K20K25KMin: 26144 / Avg: 26435 / Max: 26893Min: 14052 / Avg: 14104.67 / Max: 14152Min: 14110 / Avg: 14162.67 / Max: 14226Min: 18206 / Avg: 18233.33 / Max: 18272Min: 17905 / Avg: 18033.67 / Max: 18164

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 317694941211211. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 174 / Avg: 175.67 / Max: 178Min: 121 / Avg: 121.33 / Max: 122Min: 120 / Avg: 121 / Max: 1221. (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 TracerRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.683.573.574.574.56MIN: 6.54 / MAX: 6.9MIN: 3.53 / MAX: 3.64MIN: 3.51 / MAX: 3.62MIN: 4.48 / MAX: 4.67MIN: 4.5 / MAX: 4.69
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 6.67 / Avg: 6.68 / Max: 6.71Min: 3.56 / Avg: 3.57 / Max: 3.58Min: 3.56 / Avg: 3.57 / Max: 3.57Min: 4.55 / Avg: 4.57 / Max: 4.59Min: 4.55 / Avg: 4.56 / Max: 4.57

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.43, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 3SE +/- 0.61, N = 3SE +/- 0.45, N = 354.34101.67101.5779.6879.361. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 53.48 / Avg: 54.34 / Max: 54.87Min: 101.32 / Avg: 101.67 / Max: 102.02Min: 101.19 / Avg: 101.57 / Max: 101.8Min: 78.45 / Avg: 79.68 / Max: 80.3Min: 78.47 / Avg: 79.36 / Max: 79.931. (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: SciVisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 13SE +/- 0.00, N = 1333.3317.8617.8622.7322.73MIN: 31.25 / MAX: 34.48MIN: 16.95 / MAX: 18.18MIN: 16.67 / MAX: 18.18MIN: 21.74 / MAX: 23.26MIN: 21.74 / MAX: 23.26
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 33.33 / Avg: 33.33 / Max: 33.33Min: 17.86 / Avg: 17.86 / Max: 17.86Min: 17.86 / Avg: 17.86 / Max: 17.86Min: 22.73 / Avg: 22.73 / Max: 22.73Min: 22.73 / Avg: 22.73 / Max: 22.73

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 313.4224.7525.0420.3820.67MIN: 13.17MIN: 24.3MIN: 24.58MIN: 19.48MIN: 19.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 13.39 / Avg: 13.42 / Max: 13.48Min: 24.71 / Avg: 24.75 / Max: 24.83Min: 24.97 / Avg: 25.04 / Max: 25.09Min: 20.37 / Avg: 20.38 / Max: 20.41Min: 20.64 / Avg: 20.67 / Max: 20.71. (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 TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X10M20M30M40M50MSE +/- 191418.48, N = 3SE +/- 76309.10, N = 3SE +/- 198919.28, N = 3SE +/- 186513.01, N = 3SE +/- 46263.13, N = 345975058248814012464494531112383315003161. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X8M16M24M32M40MMin: 45592385 / Avg: 45975057.67 / Max: 46176106Min: 24738214 / Avg: 24881400.67 / Max: 24998737Min: 24247135 / Avg: 24644944.67 / Max: 24848002Min: 30851934 / Avg: 31112383 / Max: 31473878Min: 31429553 / Avg: 31500316.33 / Max: 315873241. (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: SupercarRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.20872.41743.62614.83486.0435SE +/- 0.032, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.011, N = 35.3722.8942.8833.7053.724
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: SupercarRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.32 / Avg: 5.37 / Max: 5.43Min: 2.89 / Avg: 2.89 / Max: 2.9Min: 2.88 / Avg: 2.88 / Max: 2.88Min: 3.7 / Avg: 3.71 / Max: 3.71Min: 3.7 / Avg: 3.72 / Max: 3.74

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: u8s8f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150SE +/- 0.69, N = 3SE +/- 0.08, N = 3SE +/- 0.24, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 382.16152.80153.05121.37121.54MIN: 80.23MIN: 151.95MIN: 151.9MIN: 119.42MIN: 119.691. (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: u8s8f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 81.31 / Avg: 82.16 / Max: 83.52Min: 152.65 / Avg: 152.79 / Max: 152.93Min: 152.66 / Avg: 153.05 / Max: 153.5Min: 120.87 / Avg: 121.37 / Max: 121.99Min: 120.94 / Avg: 121.54 / Max: 122.091. (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: BedroomRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.56591.13181.69772.26362.8295SE +/- 0.005, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.004, N = 32.5151.3561.3531.7231.743
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: BedroomRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.51 / Avg: 2.52 / Max: 2.52Min: 1.36 / Avg: 1.36 / Max: 1.36Min: 1.35 / Avg: 1.35 / Max: 1.36Min: 1.71 / Avg: 1.72 / Max: 1.74Min: 1.74 / Avg: 1.74 / Max: 1.75

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 319.4110.4610.4513.4313.38MIN: 19.13 / MAX: 20.17MIN: 9.84 / MAX: 10.7MIN: 10.33 / MAX: 10.68MIN: 13.32 / MAX: 13.82MIN: 13.18 / MAX: 13.87
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 19.33 / Avg: 19.41 / Max: 19.54Min: 10.38 / Avg: 10.46 / Max: 10.53Min: 10.39 / Avg: 10.45 / Max: 10.54Min: 13.41 / Avg: 13.43 / Max: 13.45Min: 13.27 / Avg: 13.38 / Max: 13.47

C-Ray

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

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 3SE +/- 0.25, N = 340.3074.5974.8558.3458.191. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1428425670Min: 40.04 / Avg: 40.3 / Max: 40.44Min: 74.51 / Avg: 74.59 / Max: 74.67Min: 74.5 / Avg: 74.85 / Max: 75.28Min: 57.87 / Avg: 58.34 / Max: 58.58Min: 57.7 / Avg: 58.19 / Max: 58.461. (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-OnlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X150300450600750SE +/- 0.46, N = 3SE +/- 0.25, N = 3SE +/- 0.94, N = 3SE +/- 0.23, N = 3SE +/- 0.28, N = 3381.36705.78707.36545.95547.40
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X120240360480600Min: 380.45 / Avg: 381.36 / Max: 381.86Min: 705.35 / Avg: 705.78 / Max: 706.23Min: 705.9 / Avg: 707.36 / Max: 709.11Min: 545.52 / Avg: 545.95 / Max: 546.3Min: 546.9 / Avg: 547.4 / Max: 547.85

m-queens

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

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 340.8475.1475.7259.3959.381. (CXX) g++ options: -fopenmp -O2 -march=native
OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1530456075Min: 40.59 / Avg: 40.84 / Max: 41.04Min: 75.12 / Avg: 75.14 / Max: 75.16Min: 75.7 / Avg: 75.72 / Max: 75.75Min: 59.24 / Avg: 59.39 / Max: 59.51Min: 59.27 / Avg: 59.38 / Max: 59.451. (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 TracerRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.53331.06661.59992.13322.6665SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.371.291.281.631.63MIN: 2.33 / MAX: 2.47MIN: 1.28 / MAX: 1.3MIN: 1.27 / MAX: 1.29MIN: 1.62 / MAX: 1.67MIN: 1.61 / MAX: 1.67
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.36 / Avg: 2.37 / Max: 2.38Min: 1.28 / Avg: 1.29 / Max: 1.29Min: 1.28 / Avg: 1.28 / Max: 1.28Min: 1.63 / Avg: 1.63 / Max: 1.64Min: 1.62 / Avg: 1.63 / Max: 1.63

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-OnlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X130260390520650SE +/- 0.41, N = 3SE +/- 0.60, N = 3SE +/- 0.19, N = 3SE +/- 0.22, N = 3SE +/- 0.27, N = 3314.86580.56582.92457.35457.07
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X100200300400500Min: 314.14 / Avg: 314.86 / Max: 315.57Min: 579.78 / Avg: 580.56 / Max: 581.75Min: 582.55 / Avg: 582.92 / Max: 583.17Min: 457.02 / Avg: 457.35 / Max: 457.78Min: 456.75 / Avg: 457.07 / Max: 457.6

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 GenerationRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 313.4424.7524.8919.4719.561. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 7.41e12 Prime Number GenerationRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 13.37 / Avg: 13.44 / Max: 13.49Min: 24.73 / Avg: 24.75 / Max: 24.79Min: 24.73 / Avg: 24.89 / Max: 24.98Min: 19.36 / Avg: 19.47 / Max: 19.54Min: 19.51 / Avg: 19.56 / Max: 19.631. (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-OnlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X120240360480600SE +/- 0.96, N = 3SE +/- 0.45, N = 3SE +/- 1.19, N = 3SE +/- 0.64, N = 3SE +/- 0.60, N = 3288.77533.31534.32420.34420.73
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X90180270360450Min: 286.89 / Avg: 288.77 / Max: 290.01Min: 532.7 / Avg: 533.31 / Max: 534.18Min: 533.11 / Avg: 534.32 / Max: 536.69Min: 419.09 / Avg: 420.34 / Max: 421.21Min: 419.86 / Avg: 420.73 / Max: 421.89

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X70140210280350SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 33331811802322301. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300Min: 332 / Avg: 333.33 / Max: 335Min: 180 / Avg: 180.33 / Max: 181Min: 229 / Avg: 230 / Max: 2311. (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 TracerRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.4410.8821.3231.7642.205SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.961.071.061.361.36MIN: 1.94 / MAX: 2.01MIN: 1.05 / MAX: 1.08MAX: 1.07MIN: 1.35 / MAX: 1.39MIN: 1.35 / MAX: 1.39
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.95 / Avg: 1.96 / Max: 1.96Min: 1.06 / Avg: 1.07 / Max: 1.07Min: 1.06 / Avg: 1.06 / Max: 1.07Min: 1.36 / Avg: 1.36 / Max: 1.36Min: 1.36 / Avg: 1.36 / Max: 1.37

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.68181.36362.04542.72723.409SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.031.641.662.102.10MIN: 2.95 / MAX: 3.15MIN: 1.6 / MAX: 1.69MIN: 1.61 / MAX: 1.71MIN: 2.05 / MAX: 2.17MIN: 2.05 / MAX: 2.18
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 3.03 / Avg: 3.03 / Max: 3.04Min: 1.63 / Avg: 1.64 / Max: 1.64Min: 1.65 / Avg: 1.66 / Max: 1.67Min: 2.1 / Avg: 2.1 / Max: 2.1Min: 2.09 / Avg: 2.1 / Max: 2.11

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.65251.3051.95752.613.2625SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 32.901.571.572.032.01MIN: 2.7 / MAX: 3.16MIN: 1.5 / MAX: 1.6MIN: 1.5 / MAX: 1.62MIN: 1.94 / MAX: 2.1MIN: 1.9 / MAX: 2.13
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.84 / Avg: 2.9 / Max: 2.96Min: 1.56 / Avg: 1.57 / Max: 1.57Min: 1.56 / Avg: 1.57 / Max: 1.59Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 1.99 / Avg: 2.01 / Max: 2.05

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3128.78236.43237.86186.67186.74
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 128.59 / Avg: 128.78 / Max: 128.91Min: 236.31 / Avg: 236.43 / Max: 236.5Min: 237.83 / Avg: 237.86 / Max: 237.91Min: 186.42 / Avg: 186.67 / Max: 187.07Min: 186.55 / Avg: 186.74 / Max: 186.96

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: SciVisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.06, N = 5SE +/- 0.03, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 1217.489.499.5212.2012.20MIN: 16.95 / MAX: 17.86MIN: 9.35 / MAX: 9.62MIN: 9.35 / MAX: 9.62MIN: 11.76 / MAX: 12.35MIN: 11.76 / MAX: 12.35
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 17.24 / Avg: 17.48 / Max: 17.54Min: 9.43 / Avg: 9.49 / Max: 9.52Min: 9.52 / Avg: 9.52 / Max: 9.52Min: 12.2 / Avg: 12.2 / Max: 12.2Min: 12.2 / Avg: 12.2 / Max: 12.2

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200SE +/- 0.32, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.16, N = 398.43180.54180.42142.55142.60
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 97.79 / Avg: 98.43 / Max: 98.79Min: 180.45 / Avg: 180.54 / Max: 180.7Min: 180.28 / Avg: 180.42 / Max: 180.57Min: 142.18 / Avg: 142.55 / Max: 142.8Min: 142.28 / Avg: 142.6 / Max: 142.78

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 6.77, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 2.52, N = 3SE +/- 2.73, N = 39095034986406311. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X160320480640800Min: 900 / Avg: 908.67 / Max: 922Min: 503 / Avg: 503.33 / Max: 504Min: 498 / Avg: 498.33 / Max: 499Min: 637 / Avg: 640 / Max: 645Min: 627 / Avg: 630.67 / Max: 6361. (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 EncodeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 389.7349.3849.2263.0262.751. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.4.11080p 8-bit YUV To HEVC Video EncodeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 89.38 / Avg: 89.73 / Max: 89.94Min: 49.24 / Avg: 49.38 / Max: 49.54Min: 49.1 / Avg: 49.22 / Max: 49.41Min: 62.75 / Avg: 63.02 / Max: 63.19Min: 62.46 / Avg: 62.75 / Max: 62.911. (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 AtomsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.5361.0721.6082.1442.68SE +/- 0.00505, N = 3SE +/- 0.00091, N = 3SE +/- 0.00069, N = 3SE +/- 0.00235, N = 3SE +/- 0.00414, N = 31.311392.382002.379821.898001.89325
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.3 / Avg: 1.31 / Max: 1.32Min: 2.38 / Avg: 2.38 / Max: 2.38Min: 2.38 / Avg: 2.38 / Max: 2.38Min: 1.89 / Avg: 1.9 / Max: 1.9Min: 1.89 / Avg: 1.89 / Max: 1.9

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.24, N = 3SE +/- 0.27, N = 3127.10230.11230.38182.23181.731. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 126.74 / Avg: 127.1 / Max: 127.41Min: 230 / Avg: 230.11 / Max: 230.2Min: 230.13 / Avg: 230.38 / Max: 230.56Min: 181.76 / Avg: 182.23 / Max: 182.51Min: 181.19 / Avg: 181.73 / Max: 182.061. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.55561.11121.66682.22242.778SE +/- 0.00239, N = 3SE +/- 0.00360, N = 3SE +/- 0.00329, N = 3SE +/- 0.00478, N = 3SE +/- 0.00339, N = 31.362912.469372.460991.920801.93145MIN: 1.32MIN: 2.41MIN: 2.39MIN: 1.81MIN: 1.821. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.36 / Avg: 1.36 / Max: 1.37Min: 2.46 / Avg: 2.47 / Max: 2.47Min: 2.45 / Avg: 2.46 / Max: 2.46Min: 1.91 / Avg: 1.92 / Max: 1.93Min: 1.92 / Avg: 1.93 / Max: 1.941. (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 TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 328.3751.1151.1140.3340.391. (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 TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1020304050Min: 28.23 / Avg: 28.37 / Max: 28.53Min: 50.98 / Avg: 51.11 / Max: 51.21Min: 51.04 / Avg: 51.11 / Max: 51.2Min: 40.19 / Avg: 40.33 / Max: 40.47Min: 40.37 / Avg: 40.39 / Max: 40.411. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.16342.32683.49024.65365.817SE +/- 0.00753, N = 3SE +/- 0.00934, N = 3SE +/- 0.00954, N = 3SE +/- 0.01798, N = 3SE +/- 0.00526, N = 32.870725.170545.146853.772153.75694MIN: 2.77MIN: 5.05MIN: 5.01MIN: 3.54MIN: 3.521. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.86 / Avg: 2.87 / Max: 2.88Min: 5.15 / Avg: 5.17 / Max: 5.19Min: 5.13 / Avg: 5.15 / Max: 5.16Min: 3.75 / Avg: 3.77 / Max: 3.81Min: 3.75 / Avg: 3.76 / Max: 3.771. (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 MaterialRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300147.87265.64265.93210.00210.11

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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.13452.2693.40354.5385.6725SE +/- 0.00583, N = 3SE +/- 0.00976, N = 3SE +/- 0.00573, N = 3SE +/- 0.01528, N = 3SE +/- 0.01486, N = 32.807765.034265.042243.876153.90306MIN: 2.71MIN: 4.92MIN: 4.92MIN: 3.73MIN: 3.741. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.8 / Avg: 2.81 / Max: 2.82Min: 5.01 / Avg: 5.03 / Max: 5.04Min: 5.03 / Avg: 5.04 / Max: 5.05Min: 3.85 / Avg: 3.88 / Max: 3.9Min: 3.87 / Avg: 3.9 / Max: 3.921. (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: ThoroughRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 315.8228.2828.3222.1022.051. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 15.73 / Avg: 15.82 / Max: 15.9Min: 28.22 / Avg: 28.28 / Max: 28.33Min: 28.26 / Avg: 28.32 / Max: 28.38Min: 21.92 / Avg: 22.1 / Max: 22.24Min: 21.87 / Avg: 22.05 / Max: 22.191. (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: 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.19722.39443.59164.78885.986SE +/- 0.032, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.016, N = 3SE +/- 0.026, N = 35.3212.9802.9843.8273.8361. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.27 / Avg: 5.32 / Max: 5.38Min: 2.97 / Avg: 2.98 / Max: 2.99Min: 2.98 / Avg: 2.98 / Max: 2.99Min: 3.8 / Avg: 3.83 / Max: 3.86Min: 3.81 / Avg: 3.84 / Max: 3.891. (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 V2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X600K1200K1800K2400K3000KSE +/- 2469.90, N = 3SE +/- 1022.05, N = 3SE +/- 1373.73, N = 3SE +/- 1613.28, N = 3SE +/- 2166.86, N = 316969033002027300525722824932276323
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X500K1000K1500K2000K2500KMin: 1692020 / Avg: 1696903.33 / Max: 1699990Min: 3000240 / Avg: 3002026.67 / Max: 3003780Min: 3003440 / Avg: 3005256.67 / Max: 3007950Min: 2279300 / Avg: 2282493.33 / Max: 2284490Min: 2271990 / Avg: 2276323.33 / Max: 2278540

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: u8s8f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.73451.4692.20352.9383.6725SE +/- 0.00154, N = 3SE +/- 0.00225, N = 3SE +/- 0.00118, N = 3SE +/- 0.00601, N = 3SE +/- 0.00712, N = 31.846623.250213.264322.551142.54671MIN: 1.78MIN: 3.15MIN: 3.19MIN: 2.39MIN: 2.391. (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: u8s8f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.84 / Avg: 1.85 / Max: 1.85Min: 3.25 / Avg: 3.25 / Max: 3.25Min: 3.26 / Avg: 3.26 / Max: 3.27Min: 2.54 / Avg: 2.55 / Max: 2.56Min: 2.54 / Avg: 2.55 / Max: 2.561. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.13372.26743.40114.53485.6685SE +/- 0.01686, N = 3SE +/- 0.01608, N = 3SE +/- 0.00571, N = 3SE +/- 0.01452, N = 3SE +/- 0.01576, N = 32.851175.026285.038453.633533.65022MIN: 2.72MIN: 4.89MIN: 4.92MIN: 3.44MIN: 3.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.82 / Avg: 2.85 / Max: 2.88Min: 5.01 / Avg: 5.03 / Max: 5.06Min: 5.03 / Avg: 5.04 / Max: 5.05Min: 3.61 / Avg: 3.63 / Max: 3.66Min: 3.62 / Avg: 3.65 / Max: 3.671. (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 V4Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X700K1400K2100K2800K3500KSE +/- 4101.81, N = 3SE +/- 1479.80, N = 3SE +/- 242.65, N = 3SE +/- 2017.43, N = 3SE +/- 1983.75, N = 318848633326913332609325257302519023
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X600K1200K1800K2400K3000KMin: 1876830 / Avg: 1884863.33 / Max: 1890320Min: 3325020 / Avg: 3326913.33 / Max: 3329830Min: 3325630 / Avg: 3326093.33 / Max: 3326450Min: 2521770 / Avg: 2525730 / Max: 2528380Min: 2515070 / Avg: 2519023.33 / Max: 2521290

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.73991.47982.21972.95963.6995SE +/- 0.00364, N = 3SE +/- 0.00315, N = 3SE +/- 0.00369, N = 3SE +/- 0.00276, N = 3SE +/- 0.00300, N = 31.870123.288363.277552.570582.58455MIN: 1.8MIN: 3.21MIN: 3.19MIN: 2.45MIN: 2.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.86 / Avg: 1.87 / Max: 1.88Min: 3.28 / Avg: 3.29 / Max: 3.29Min: 3.27 / Avg: 3.28 / Max: 3.28Min: 2.57 / Avg: 2.57 / Max: 2.58Min: 2.58 / Avg: 2.58 / Max: 2.591. (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: EmilyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X90180270360450231.02403.91406.12323.99325.30

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30060090012001500SE +/- 6.24, N = 3SE +/- 1.33, N = 3SE +/- 2.08, N = 3SE +/- 1.86, N = 31586915903115711361. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30060090012001500Min: 1577 / Avg: 1586 / Max: 1598Min: 900 / Avg: 902.67 / Max: 904Min: 1154 / Avg: 1157 / Max: 1161Min: 1134 / Avg: 1136.33 / Max: 11401. (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 AtomsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.011, N = 3SE +/- 0.012, N = 3SE +/- 0.027, N = 3SE +/- 0.052, N = 3SE +/- 0.003, N = 310.4826.0165.9737.2237.0711. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 10.46 / Avg: 10.48 / Max: 10.5Min: 5.99 / Avg: 6.02 / Max: 6.03Min: 5.92 / Avg: 5.97 / Max: 6.01Min: 7.12 / Avg: 7.22 / Max: 7.29Min: 7.07 / Avg: 7.07 / Max: 7.081. (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 CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.49, N = 3SE +/- 0.35, N = 3SE +/- 0.52, N = 3SE +/- 0.25, N = 3SE +/- 0.28, N = 353.4093.6193.5574.3175.17
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 52.8 / Avg: 53.4 / Max: 54.37Min: 93.25 / Avg: 93.61 / Max: 94.32Min: 93.03 / Avg: 93.55 / Max: 94.59Min: 73.86 / Avg: 74.31 / Max: 74.72Min: 74.69 / Avg: 75.17 / Max: 75.66

YafaRay

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

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150SE +/- 0.57, N = 3SE +/- 0.06, N = 3SE +/- 0.35, N = 3SE +/- 0.18, N = 3SE +/- 0.40, N = 384.03147.19147.19117.61117.331. (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 SceneRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 82.96 / Avg: 84.03 / Max: 84.9Min: 147.08 / Avg: 147.19 / Max: 147.26Min: 146.5 / Avg: 147.19 / Max: 147.62Min: 117.39 / Avg: 117.61 / Max: 117.96Min: 116.89 / Avg: 117.33 / Max: 118.141. (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 CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 323.0540.1340.1732.4532.43
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240Min: 22.89 / Avg: 23.05 / Max: 23.14Min: 40.07 / Avg: 40.13 / Max: 40.18Min: 40.11 / Avg: 40.17 / Max: 40.22Min: 32.27 / Avg: 32.45 / Max: 32.6Min: 32.3 / Avg: 32.43 / Max: 32.53

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1428425670SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 335.0360.9360.9948.9748.821. (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 3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860Min: 34.76 / Avg: 35.03 / Max: 35.28Min: 60.87 / Avg: 60.93 / Max: 60.98Min: 60.92 / Avg: 60.99 / Max: 61.04Min: 48.75 / Avg: 48.97 / Max: 49.17Min: 48.55 / Avg: 48.82 / Max: 48.991. (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 DepthRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X10M20M30M40M50MSE +/- 309127.34, N = 3SE +/- 134404.35, N = 3SE +/- 229502.95, N = 3SE +/- 294869.17, N = 3SE +/- 317223.46, N = 94644782726853014269622573383226033906575
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X8M16M24M32M40MMin: 45983643 / Avg: 46447826.67 / Max: 47033584Min: 26618428 / Avg: 26853014 / Max: 27083976Min: 26569783 / Avg: 26962257 / Max: 27364620Min: 33448091 / Avg: 33832260.33 / Max: 34411842Min: 32727412 / Avg: 33906574.89 / Max: 35856996

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50K100K150K200K250KSE +/- 352.11, N = 3SE +/- 41.49, N = 3SE +/- 94.08, N = 3SE +/- 241.45, N = 3SE +/- 190.69, N = 3129948224590224669174846174381
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X40K80K120K160K200KMin: 129246 / Avg: 129948.33 / Max: 130344Min: 224514 / Avg: 224589.67 / Max: 224657Min: 224532 / Avg: 224668.67 / Max: 224849Min: 174369 / Avg: 174845.67 / Max: 175151Min: 174009 / Avg: 174381.33 / Max: 174639

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30K60K90K120K150KSE +/- 223.00, N = 3SE +/- 43.56, N = 3SE +/- 27.34, N = 3SE +/- 161.74, N = 3SE +/- 93.24, N = 388452.8152706.0152878.0116937.0116651.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30K60K90K120K150KMin: 88006.8 / Avg: 88452.8 / Max: 88676.2Min: 152642 / Avg: 152705.67 / Max: 152789Min: 152850 / Avg: 152878.33 / Max: 152933Min: 116618 / Avg: 116937 / Max: 117143Min: 116476 / Avg: 116651.33 / Max: 116794

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X40K80K120K160K200KSE +/- 230.61, N = 3SE +/- 42.78, N = 3SE +/- 8.25, N = 3SE +/- 154.10, N = 3SE +/- 162.50, N = 396889.3167078.0167308.0128223.0127916.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30K60K90K120K150KMin: 96429 / Avg: 96889.27 / Max: 97145Min: 166997 / Avg: 167078.33 / Max: 167142Min: 167296 / Avg: 167308.33 / Max: 167324Min: 127916 / Avg: 128223.33 / Max: 128397Min: 127591 / Avg: 127916 / Max: 128079

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150SE +/- 0.34, N = 3SE +/- 0.23, N = 3SE +/- 0.39, N = 3SE +/- 0.69, N = 3SE +/- 0.99, N = 372.58124.85125.0594.0394.68
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 72.07 / Avg: 72.58 / Max: 73.23Min: 124.52 / Avg: 124.85 / Max: 125.3Min: 124.41 / Avg: 125.05 / Max: 125.77Min: 92.91 / Avg: 94.03 / Max: 95.3Min: 92.88 / Avg: 94.68 / Max: 96.29

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.039, N = 3SE +/- 0.127, N = 3SE +/- 0.036, N = 3SE +/- 0.086, N = 3SE +/- 0.037, N = 37.63913.02313.1369.6579.791
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 7.58 / Avg: 7.64 / Max: 7.71Min: 12.77 / Avg: 13.02 / Max: 13.18Min: 13.09 / Avg: 13.14 / Max: 13.21Min: 9.55 / Avg: 9.66 / Max: 9.83Min: 9.73 / Avg: 9.79 / Max: 9.86

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X40K80K120K160K200K1976221173051149401507111501331. (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 EncodingRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150SE +/- 1.23, N = 15SE +/- 0.76, N = 13SE +/- 1.03, N = 7SE +/- 1.20, N = 7SE +/- 1.11, N = 8157.2093.5892.02109.23108.871. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 145.38 / Avg: 157.2 / Max: 161.23Min: 86.72 / Avg: 93.58 / Max: 95.26Min: 87.61 / Avg: 92.02 / Max: 93.94Min: 103.72 / Avg: 109.23 / Max: 111.95Min: 102.83 / Avg: 108.87 / Max: 111.721. (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 DragonRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 320.6012.0812.0615.2015.05MIN: 20.29 / MAX: 21.07MIN: 11.94 / MAX: 12.25MIN: 12.01 / MAX: 12.2MIN: 15.1 / MAX: 15.44MIN: 14.44 / MAX: 15.45
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 20.4 / Avg: 20.6 / Max: 20.73Min: 12.04 / Avg: 12.08 / Max: 12.14Min: 12.05 / Avg: 12.06 / Max: 12.08Min: 15.18 / Avg: 15.2 / Max: 15.23Min: 14.75 / Avg: 15.05 / Max: 15.24

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 5600XRyzen 7 5800XAMD Ryzen 7 5800X800K1600K2400K3200K4000KSE +/- 14863.58, N = 3SE +/- 15672.12, N = 3SE +/- 21979.32, N = 33847006.582257913.672296121.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X700K1400K2100K2800K3500KMin: 3817282.5 / Avg: 3847006.58 / Max: 3862239.25Min: 2237709.25 / Avg: 2257913.67 / Max: 2288768.75Min: 2252252.25 / Avg: 2296121.5 / Max: 2320482.751. (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 ObjRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 318.1710.8010.6713.5313.57MIN: 18.02 / MAX: 18.49MIN: 10.72 / MAX: 10.93MIN: 10.38 / MAX: 10.95MIN: 13.33 / MAX: 13.82MIN: 13.48 / MAX: 13.81
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 18.13 / Avg: 18.17 / Max: 18.19Min: 10.78 / Avg: 10.8 / Max: 10.81Min: 10.42 / Avg: 10.67 / Max: 10.82Min: 13.42 / Avg: 13.53 / Max: 13.62Min: 13.56 / Avg: 13.57 / Max: 13.6

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1326395265SE +/- 0.28, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.25, N = 332.9656.0256.0845.7845.91
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1122334455Min: 32.41 / Avg: 32.96 / Max: 33.25Min: 55.91 / Avg: 56.02 / Max: 56.11Min: 55.98 / Avg: 56.08 / Max: 56.14Min: 45.39 / Avg: 45.78 / Max: 45.98Min: 45.45 / Avg: 45.91 / Max: 46.29

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 320.1711.9611.9715.2615.07MIN: 20.07 / MAX: 20.46MIN: 11.87 / MAX: 12.14MIN: 11.87 / MAX: 12.12MIN: 15 / MAX: 15.61MIN: 14.98 / MAX: 15.3
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 20.14 / Avg: 20.17 / Max: 20.2Min: 11.91 / Avg: 11.96 / Max: 11.99Min: 11.91 / Avg: 11.97 / Max: 12.02Min: 15.06 / Avg: 15.26 / Max: 15.45Min: 15.04 / Avg: 15.07 / Max: 15.1

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 318.9331.8131.8825.7525.761. (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 2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 18.68 / Avg: 18.93 / Max: 19.14Min: 31.75 / Avg: 31.81 / Max: 31.87Min: 31.85 / Avg: 31.88 / Max: 31.9Min: 25.48 / Avg: 25.75 / Max: 25.94Min: 25.53 / Avg: 25.75 / Max: 25.951. (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: u8s8f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.40510.81021.21531.62042.0255SE +/- 0.00157, N = 3SE +/- 0.00662, N = 3SE +/- 0.00295, N = 3SE +/- 0.00156, N = 3SE +/- 0.00239, N = 31.069671.785211.800651.396231.40024MIN: 1.05MIN: 1.73MIN: 1.74MIN: 1.31MIN: 1.311. (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: u8s8f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.07 / Avg: 1.07 / Max: 1.07Min: 1.77 / Avg: 1.79 / Max: 1.8Min: 1.8 / Avg: 1.8 / Max: 1.8Min: 1.39 / Avg: 1.4 / Max: 1.4Min: 1.4 / Avg: 1.4 / Max: 1.41. (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_linearridgeregressionRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.00582.01163.01744.02325.029SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 32.674.454.473.373.41
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.62 / Avg: 2.67 / Max: 2.69Min: 4.38 / Avg: 4.45 / Max: 4.52Min: 4.45 / Avg: 4.47 / Max: 4.49Min: 3.32 / Avg: 3.37 / Max: 3.45Min: 3.35 / Avg: 3.41 / Max: 3.46

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 312.8721.5221.4316.3616.18
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 12.63 / Avg: 12.87 / Max: 13.05Min: 21.43 / Avg: 21.52 / Max: 21.58Min: 21.02 / Avg: 21.43 / Max: 21.64Min: 16.27 / Avg: 16.36 / Max: 16.45Min: 15.79 / Avg: 16.18 / Max: 16.4

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 ObjRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 318.3410.9811.0013.7313.78MIN: 18.19 / MAX: 18.68MIN: 10.86 / MAX: 11.16MIN: 10.89 / MAX: 11.18MIN: 13.21 / MAX: 14.21MIN: 13.65 / MAX: 14.02
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 18.29 / Avg: 18.34 / Max: 18.41Min: 10.92 / Avg: 10.98 / Max: 11.02Min: 10.94 / Avg: 11 / Max: 11.05Min: 13.51 / Avg: 13.73 / Max: 13.84Min: 13.74 / Avg: 13.78 / Max: 13.8

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250138.82230.22231.72184.44183.64

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 311.546.956.938.678.64
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 11.49 / Avg: 11.54 / Max: 11.6Min: 6.95 / Avg: 6.95 / Max: 6.96Min: 6.92 / Avg: 6.93 / Max: 6.94Min: 8.63 / Avg: 8.67 / Max: 8.72Min: 8.6 / Avg: 8.64 / Max: 8.67

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.39870.79741.19611.59481.9935SE +/- 0.00364, N = 3SE +/- 0.00553, N = 3SE +/- 0.00744, N = 3SE +/- 0.00116, N = 3SE +/- 0.00040, N = 31.065491.772091.770521.372491.38500MIN: 1.04MIN: 1.72MIN: 1.72MIN: 1.29MIN: 1.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.06 / Avg: 1.07 / Max: 1.07Min: 1.76 / Avg: 1.77 / Max: 1.78Min: 1.76 / Avg: 1.77 / Max: 1.78Min: 1.37 / Avg: 1.37 / Max: 1.37Min: 1.38 / Avg: 1.38 / Max: 1.391. (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 CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X150300450600750SE +/- 3.78, N = 3SE +/- 2.12, N = 3SE +/- 0.41, N = 3SE +/- 1.38, N = 3SE +/- 1.62, N = 3429.20708.52711.41587.91582.56
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X130260390520650Min: 424.47 / Avg: 429.2 / Max: 436.67Min: 704.34 / Avg: 708.52 / Max: 711.29Min: 710.66 / Avg: 711.41 / Max: 712.07Min: 586.1 / Avg: 587.91 / Max: 590.62Min: 580.37 / Avg: 582.56 / Max: 585.73

Incompact3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X80160240320400SE +/- 2.62, N = 3SE +/- 2.85, N = 3SE +/- 0.66, N = 3SE +/- 3.64, N = 3SE +/- 1.12, N = 3233.36384.88382.09345.56345.851. (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: CylinderRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X70140210280350Min: 228.16 / Avg: 233.36 / Max: 236.53Min: 380.99 / Avg: 384.88 / Max: 390.43Min: 380.77 / Avg: 382.09 / Max: 382.76Min: 338.53 / Avg: 345.56 / Max: 350.71Min: 344.53 / Avg: 345.85 / Max: 348.071. (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-GaussianRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X80160240320400SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 3.67, N = 33792342312822831. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X70140210280350Min: 377 / Avg: 378.67 / Max: 380Min: 230 / Avg: 231.33 / Max: 232Min: 275 / Avg: 282.33 / Max: 2861. (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 DVRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.022, N = 3SE +/- 0.051, N = 3SE +/- 0.053, N = 3SE +/- 0.005, N = 3SE +/- 0.046, N = 36.2573.8443.8446.1386.0791. (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 DVRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 6.22 / Avg: 6.26 / Max: 6.29Min: 3.77 / Avg: 3.84 / Max: 3.94Min: 3.79 / Avg: 3.84 / Max: 3.95Min: 6.13 / Avg: 6.14 / Max: 6.15Min: 6.03 / Avg: 6.08 / Max: 6.171. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.01600, N = 3SE +/- 0.01704, N = 3SE +/- 0.01408, N = 3SE +/- 0.00557, N = 3SE +/- 0.00529, N = 34.849337.849917.822445.485885.51910MIN: 4.48MIN: 7.61MIN: 7.53MIN: 5.33MIN: 5.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 4.82 / Avg: 4.85 / Max: 4.87Min: 7.82 / Avg: 7.85 / Max: 7.88Min: 7.79 / Avg: 7.82 / Max: 7.84Min: 5.48 / Avg: 5.49 / Max: 5.5Min: 5.51 / Avg: 5.52 / Max: 5.531. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.01207, N = 3SE +/- 0.01687, N = 3SE +/- 0.01791, N = 3SE +/- 0.00612, N = 3SE +/- 0.00552, N = 34.885657.851907.880815.543105.55011MIN: 4.58MIN: 7.62MIN: 7.67MIN: 5.35MIN: 5.361. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 4.86 / Avg: 4.89 / Max: 4.9Min: 7.82 / Avg: 7.85 / Max: 7.87Min: 7.85 / Avg: 7.88 / Max: 7.9Min: 5.54 / Avg: 5.54 / Max: 5.56Min: 5.54 / Avg: 5.55 / Max: 5.561. (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: MediumRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.425.285.286.466.441. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 8.4 / Avg: 8.42 / Max: 8.45Min: 5.28 / Avg: 5.28 / Max: 5.29Min: 5.27 / Avg: 5.28 / Max: 5.3Min: 6.45 / Avg: 6.46 / Max: 6.47Min: 6.43 / Avg: 6.44 / Max: 6.461. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.235.185.186.326.311. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 8.18 / Avg: 8.23 / Max: 8.27Min: 5.17 / Avg: 5.18 / Max: 5.19Min: 5.17 / Avg: 5.18 / Max: 5.19Min: 6.3 / Avg: 6.32 / Max: 6.34Min: 6.29 / Avg: 6.31 / Max: 6.331. (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 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200SE +/- 0.40, N = 3SE +/- 0.32, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.26, N = 3202.61127.84127.75132.75133.111. (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 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 201.82 / Avg: 202.61 / Max: 203.11Min: 127.5 / Avg: 127.84 / Max: 128.48Min: 127.61 / Avg: 127.75 / Max: 127.93Min: 132.48 / Avg: 132.75 / Max: 132.98Min: 132.6 / Avg: 133.11 / Max: 133.451. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 320.4032.2231.8925.8025.76MIN: 19.8MIN: 30.99MIN: 30.85MIN: 25.12MIN: 25.111. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 20.26 / Avg: 20.4 / Max: 20.59Min: 31.93 / Avg: 32.22 / Max: 32.56Min: 31.75 / Avg: 31.89 / Max: 32.06Min: 25.65 / Avg: 25.8 / Max: 26.06Min: 25.7 / Avg: 25.76 / Max: 25.81. (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 FastRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 323.0614.6814.6118.0818.021. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 22.93 / Avg: 23.06 / Max: 23.21Min: 14.63 / Avg: 14.68 / Max: 14.73Min: 14.6 / Avg: 14.61 / Max: 14.63Min: 18.04 / Avg: 18.08 / Max: 18.15Min: 17.95 / Avg: 18.02 / Max: 18.141. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300SE +/- 0.14, N = 3SE +/- 0.38, N = 3SE +/- 0.22, N = 3SE +/- 1.00, N = 3SE +/- 0.88, N = 3181.85285.20286.25203.04205.17MIN: 180.95MIN: 283.46MIN: 284.69MIN: 200.2MIN: 202.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250Min: 181.58 / Avg: 181.85 / Max: 182.03Min: 284.45 / Avg: 285.2 / Max: 285.67Min: 285.8 / Avg: 286.25 / Max: 286.49Min: 201.1 / Avg: 203.04 / Max: 204.38Min: 203.6 / Avg: 205.17 / Max: 206.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Sunflow Rendering System

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.23650.4730.70950.9461.1825SE +/- 0.011, N = 3SE +/- 0.014, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.010, N = 30.6791.0491.0510.8030.821MIN: 0.59 / MAX: 0.98MIN: 0.98 / MAX: 1.42MIN: 0.97 / MAX: 1.47MIN: 0.73 / MAX: 1.12MIN: 0.74 / MAX: 1.09
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 0.66 / Avg: 0.68 / Max: 0.7Min: 1.03 / Avg: 1.05 / Max: 1.08Min: 1.05 / Avg: 1.05 / Max: 1.06Min: 0.8 / Avg: 0.8 / Max: 0.81Min: 0.81 / Avg: 0.82 / Max: 0.84

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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300SE +/- 0.29, N = 3SE +/- 0.37, N = 3SE +/- 0.22, N = 3SE +/- 0.75, N = 3SE +/- 0.76, N = 3178.59274.62275.92204.51203.89MIN: 177.41MIN: 273.14MIN: 274.48MIN: 201.75MIN: 200.991. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250Min: 178.09 / Avg: 178.59 / Max: 179.11Min: 274.05 / Avg: 274.62 / Max: 275.31Min: 275.58 / Avg: 275.92 / Max: 276.33Min: 203.03 / Avg: 204.51 / Max: 205.5Min: 202.4 / Avg: 203.89 / Max: 204.911. (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 4KRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 322.7315.2315.1014.7814.901. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 22.48 / Avg: 22.73 / Max: 22.89Min: 15.07 / Avg: 15.23 / Max: 15.45Min: 14.93 / Avg: 15.1 / Max: 15.22Min: 14.63 / Avg: 14.78 / Max: 14.96Min: 14.76 / Avg: 14.9 / Max: 15.051. (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 MappingRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 0.28, N = 3SE +/- 0.63, N = 3SE +/- 0.25, N = 3SE +/- 2.68, N = 3SE +/- 0.93, N = 3866.15565.68567.84720.41716.641. (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 MappingRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X150300450600750Min: 865.8 / Avg: 866.15 / Max: 866.7Min: 564.43 / Avg: 565.68 / Max: 566.41Min: 567.34 / Avg: 567.84 / Max: 568.18Min: 717.31 / Avg: 720.41 / Max: 725.74Min: 715.21 / Avg: 716.64 / Max: 718.391. (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 FastRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 340.2226.3426.2832.3532.151. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240Min: 40.07 / Avg: 40.22 / Max: 40.46Min: 26.29 / Avg: 26.34 / Max: 26.42Min: 26.16 / Avg: 26.28 / Max: 26.34Min: 32.23 / Avg: 32.35 / Max: 32.46Min: 32 / Avg: 32.15 / Max: 32.231. (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 CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 320.0930.6730.5326.1326.21
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 19.97 / Avg: 20.09 / Max: 20.16Min: 30.59 / Avg: 30.67 / Max: 30.77Min: 30.35 / Avg: 30.53 / Max: 30.66Min: 25.95 / Avg: 26.13 / Max: 26.22Min: 26.05 / Avg: 26.21 / Max: 26.33

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.50, N = 3SE +/- 0.22, N = 3SE +/- 0.39, N = 3SE +/- 0.44, N = 3SE +/- 0.31, N = 358.7389.5689.4874.5074.311. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 58.2 / Avg: 58.73 / Max: 59.73Min: 89.28 / Avg: 89.56 / Max: 89.98Min: 88.74 / Avg: 89.48 / Max: 90.04Min: 73.88 / Avg: 74.5 / Max: 75.34Min: 73.71 / Avg: 74.3 / Max: 74.741. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.18, N = 335.6854.2854.3745.1544.941. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1122334455Min: 35.52 / Avg: 35.68 / Max: 35.92Min: 54.13 / Avg: 54.28 / Max: 54.39Min: 54.29 / Avg: 54.37 / Max: 54.49Min: 44.74 / Avg: 45.15 / Max: 45.55Min: 44.64 / Avg: 44.94 / Max: 45.251. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 317.8012.0911.9214.8714.79
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 17.68 / Avg: 17.8 / Max: 17.89Min: 11.93 / Avg: 12.09 / Max: 12.35Min: 11.74 / Avg: 11.92 / Max: 12.19Min: 14.68 / Avg: 14.87 / Max: 14.97Min: 14.69 / Avg: 14.79 / Max: 14.87

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 331.0821.0821.0528.3028.231. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 30.99 / Avg: 31.08 / Max: 31.17Min: 20.97 / Avg: 21.08 / Max: 21.15Min: 21.03 / Avg: 21.05 / Max: 21.06Min: 28.24 / Avg: 28.3 / Max: 28.37Min: 28.21 / Avg: 28.23 / Max: 28.271. (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: VMAF Optimized - Input: Bosphorus 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250SE +/- 1.94, N = 12SE +/- 2.18, N = 4SE +/- 2.38, N = 3SE +/- 2.13, N = 4SE +/- 2.71, N = 3217.14147.90147.71159.15157.751. (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 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 195.95 / Avg: 217.14 / Max: 220.26Min: 141.61 / Avg: 147.9 / Max: 151.06Min: 142.99 / Avg: 147.71 / Max: 150.6Min: 152.83 / Avg: 159.15 / Max: 162.21Min: 152.36 / Avg: 157.75 / Max: 160.91. (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: SlowRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 330.1320.5420.5727.6027.471. (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: SlowRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 29.89 / Avg: 30.13 / Max: 30.31Min: 20.51 / Avg: 20.54 / Max: 20.58Min: 20.51 / Avg: 20.57 / Max: 20.61Min: 27.58 / Avg: 27.6 / Max: 27.62Min: 27.41 / Avg: 27.47 / Max: 27.511. (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-v3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.9271.8542.7813.7084.635SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.123.013.042.832.81MIN: 4.03 / MAX: 5.31MIN: 2.97 / MAX: 3.7MIN: 2.99 / MAX: 4.21MIN: 2.76 / MAX: 4.05MIN: 2.75 / MAX: 3.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.07 / Avg: 4.12 / Max: 4.19Min: 3 / Avg: 3.01 / Max: 3.01Min: 3.04 / Avg: 3.04 / Max: 3.05Min: 2.8 / Avg: 2.83 / Max: 2.87Min: 2.79 / Avg: 2.81 / Max: 2.861. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1632486480SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 348.3369.3970.2059.0559.93MIN: 47.72MIN: 68.78MIN: 69.59MIN: 57.93MIN: 58.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1428425670Min: 48.25 / Avg: 48.33 / Max: 48.37Min: 69.38 / Avg: 69.39 / Max: 69.4Min: 70.1 / Avg: 70.2 / Max: 70.28Min: 58.91 / Avg: 59.05 / Max: 59.21Min: 59.73 / Avg: 59.93 / Max: 60.071. (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 BenchmarkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.28330.56660.84991.13321.4165SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 31.2590.8740.8720.9580.9601. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.25 / Avg: 1.26 / Max: 1.26Min: 0.87 / Avg: 0.87 / Max: 0.88Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.96 / Avg: 0.96 / Max: 0.96Min: 0.96 / Avg: 0.96 / Max: 0.961. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250SE +/- 0.67, N = 3SE +/- 1.06, N = 3SE +/- 0.24, N = 3SE +/- 0.51, N = 3SE +/- 0.33, N = 3225.17156.10156.33168.71167.461. (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 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 224.13 / Avg: 225.17 / Max: 226.42Min: 154.16 / Avg: 156.1 / Max: 157.81Min: 155.97 / Avg: 156.33 / Max: 156.78Min: 167.69 / Avg: 168.71 / Max: 169.25Min: 166.81 / Avg: 167.46 / Max: 167.881. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1632486480SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 349.6171.2471.2961.0761.08MIN: 49.09MIN: 70.64MIN: 70.77MIN: 59.83MIN: 59.731. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1428425670Min: 49.54 / Avg: 49.61 / Max: 49.67Min: 71.18 / Avg: 71.24 / Max: 71.3Min: 71.22 / Avg: 71.29 / Max: 71.34Min: 60.89 / Avg: 61.07 / Max: 61.25Min: 60.97 / Avg: 61.08 / Max: 61.221. (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 MobileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X40K80K120K160K200KSE +/- 202.44, N = 3SE +/- 186.70, N = 3SE +/- 169.90, N = 3SE +/- 1222.67, N = 3SE +/- 1820.50, N = 3128086183728184025145483146691
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30K60K90K120K150KMin: 127785 / Avg: 128086 / Max: 128471Min: 183470 / Avg: 183728.33 / Max: 184091Min: 183793 / Avg: 184025 / Max: 184356Min: 144253 / Avg: 145482.67 / Max: 147928Min: 143773 / Avg: 146691.33 / Max: 150036

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.87081.74162.61243.48324.354SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 33.872.993.012.732.73MIN: 3.81 / MAX: 4.57MIN: 2.93 / MAX: 4.08MIN: 2.95 / MAX: 4.09MIN: 2.65 / MAX: 3.35MIN: 2.66 / MAX: 3.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 3.85 / Avg: 3.87 / Max: 3.88Min: 2.98 / Avg: 2.99 / Max: 2.99Min: 3 / Avg: 3.01 / Max: 3.02Min: 2.69 / Avg: 2.73 / Max: 2.78Min: 2.7 / Avg: 2.73 / Max: 2.761. (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: SqueezeNetV1.0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.059, N = 10SE +/- 0.063, N = 3SE +/- 0.020, N = 3SE +/- 0.014, N = 3SE +/- 0.049, N = 76.2554.9285.0134.5034.423MIN: 5.87 / MAX: 15.92MIN: 4.75 / MAX: 13.58MIN: 4.91 / MAX: 13.06MIN: 4.42 / MAX: 4.94MIN: 4.21 / MAX: 13.231. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 5.93 / Avg: 6.26 / Max: 6.6Min: 4.8 / Avg: 4.93 / Max: 5.01Min: 4.97 / Avg: 5.01 / Max: 5.04Min: 4.48 / Avg: 4.5 / Max: 4.52Min: 4.26 / Avg: 4.42 / Max: 4.541. (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

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.96081.92162.88243.84324.804SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 34.273.233.263.043.03MIN: 4.21 / MAX: 5.51MIN: 3.14 / MAX: 4MIN: 3.2 / MAX: 4.48MIN: 2.94 / MAX: 12.36MIN: 2.94 / MAX: 4.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.25 / Avg: 4.27 / Max: 4.29Min: 3.2 / Avg: 3.23 / Max: 3.25Min: 3.25 / Avg: 3.26 / Max: 3.27Min: 2.99 / Avg: 3.04 / Max: 3.12Min: 3 / Avg: 3.03 / Max: 3.081. (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 DocumentRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 313.9519.5919.5716.4216.44
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 13.91 / Avg: 13.95 / Max: 14Min: 19.56 / Avg: 19.59 / Max: 19.64Min: 19.53 / Avg: 19.57 / Max: 19.61Min: 16.35 / Avg: 16.42 / Max: 16.54Min: 16.38 / Avg: 16.44 / Max: 16.54

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.72, N = 3SE +/- 0.22, N = 3SE +/- 0.53, N = 3SE +/- 0.22, N = 3SE +/- 0.27, N = 3110.6079.0279.0285.4785.651. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 109.29 / Avg: 110.6 / Max: 111.77Min: 78.62 / Avg: 79.02 / Max: 79.36Min: 78.32 / Avg: 79.02 / Max: 80.06Min: 85.22 / Avg: 85.47 / Max: 85.9Min: 85.14 / Avg: 85.65 / Max: 86.091. 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 CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1326395265SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 342.5559.1859.1450.9150.71
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860Min: 42.26 / Avg: 42.55 / Max: 42.95Min: 59.1 / Avg: 59.18 / Max: 59.3Min: 59.11 / Avg: 59.14 / Max: 59.21Min: 50.72 / Avg: 50.91 / Max: 51.05Min: 50.6 / Avg: 50.71 / Max: 50.83

Nebular Empirical Analysis Tool

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 310.5214.5814.6012.5712.611. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 10.46 / Avg: 10.52 / Max: 10.59Min: 14.54 / Avg: 14.58 / Max: 14.63Min: 14.56 / Avg: 14.6 / Max: 14.65Min: 12.53 / Avg: 12.57 / Max: 12.6Min: 12.55 / Avg: 12.61 / Max: 12.71. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1020304050SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 330.7640.8542.3938.0438.81MIN: 29.96MIN: 40.29MIN: 41.83MIN: 37.21MIN: 38.11. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645Min: 30.64 / Avg: 30.76 / Max: 30.87Min: 40.62 / Avg: 40.85 / Max: 41.03Min: 42.2 / Avg: 42.39 / Max: 42.64Min: 37.78 / Avg: 38.04 / Max: 38.33Min: 38.71 / Avg: 38.81 / Max: 38.871. (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 DataRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X150300450600750678.26526.78505.06696.01677.01

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.98481.96962.95443.93924.924SE +/- 0.01915, N = 3SE +/- 0.01790, N = 3SE +/- 0.01547, N = 3SE +/- 0.01920, N = 3SE +/- 0.01637, N = 33.205654.376984.359903.191493.24440MIN: 2.97MIN: 4.18MIN: 4.09MIN: 3.05MIN: 3.091. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 3.17 / Avg: 3.21 / Max: 3.23Min: 4.35 / Avg: 4.38 / Max: 4.41Min: 4.33 / Avg: 4.36 / Max: 4.38Min: 3.16 / Avg: 3.19 / Max: 3.22Min: 3.21 / Avg: 3.24 / Max: 3.261. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.98171.96342.94513.92684.9085SE +/- 0.01061, N = 3SE +/- 0.01108, N = 3SE +/- 0.00657, N = 3SE +/- 0.02383, N = 3SE +/- 0.02730, N = 33.840394.348884.363103.217143.23041MIN: 3.6MIN: 4.14MIN: 4.16MIN: 3.05MIN: 3.051. (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: f32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 3.82 / Avg: 3.84 / Max: 3.86Min: 4.33 / Avg: 4.35 / Max: 4.37Min: 4.36 / Avg: 4.36 / Max: 4.38Min: 3.17 / Avg: 3.22 / Max: 3.25Min: 3.18 / Avg: 3.23 / Max: 3.271. (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: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 9.31, N = 12SE +/- 14.03, N = 3SE +/- 13.98, N = 3SE +/- 5.99, N = 3SE +/- 15.51, N = 3729.48915.31856.51987.07907.141. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000Min: 697.17 / Avg: 729.48 / Max: 782.06Min: 897.74 / Avg: 915.31 / Max: 943.04Min: 828.57 / Avg: 856.51 / Max: 871.38Min: 977.73 / Avg: 987.07 / Max: 998.23Min: 876.76 / Avg: 907.14 / Max: 927.741. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.31632.63263.94895.26526.5815SE +/- 0.011, N = 10SE +/- 0.006, N = 3SE +/- 0.012, N = 3SE +/- 0.011, N = 3SE +/- 0.005, N = 75.8504.3554.3434.4244.458MIN: 5.73 / MAX: 14.54MIN: 4.3 / MAX: 5.43MIN: 4.28 / MAX: 5.47MIN: 4.37 / MAX: 5.41MIN: 4.37 / MAX: 4.841. (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-v1-1.0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.78 / Avg: 5.85 / Max: 5.89Min: 4.34 / Avg: 4.36 / Max: 4.36Min: 4.32 / Avg: 4.34 / Max: 4.36Min: 4.41 / Avg: 4.42 / Max: 4.45Min: 4.44 / Avg: 4.46 / Max: 4.481. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.28, N = 3SE +/- 0.20, N = 323.6931.3131.5728.9428.81
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 23.42 / Avg: 23.69 / Max: 24.11Min: 31.15 / Avg: 31.31 / Max: 31.55Min: 31.24 / Avg: 31.57 / Max: 31.87Min: 28.49 / Avg: 28.94 / Max: 29.46Min: 28.46 / Avg: 28.8 / Max: 29.15

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.70161.40322.10482.80643.508SE +/- 0.018, N = 10SE +/- 0.016, N = 3SE +/- 0.011, N = 3SE +/- 0.016, N = 3SE +/- 0.020, N = 73.1182.7032.7342.3882.343MIN: 2.95 / MAX: 12.69MIN: 2.64 / MAX: 2.97MIN: 2.69 / MAX: 3.01MIN: 2.34 / MAX: 2.66MIN: 2.24 / MAX: 2.861. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 3.03 / Avg: 3.12 / Max: 3.25Min: 2.67 / Avg: 2.7 / Max: 2.73Min: 2.71 / Avg: 2.73 / Max: 2.75Min: 2.37 / Avg: 2.39 / Max: 2.42Min: 2.27 / Avg: 2.34 / Max: 2.391. (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: vklBenchmarkStructuredVolumeRyzen 9 5900XRyzen 9 5900XaRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20M40M60M80M100MSE +/- 766368.01, N = 15SE +/- 1111483.12, N = 3SE +/- 596052.47, N = 3SE +/- 333968.72, N = 3SE +/- 458598.16, N = 3SE +/- 318117.11, N = 379672506.4580112360.9660724115.8460252649.1171378988.7471968735.77MIN: 1328287 / MAX: 762373872MIN: 1366414 / MAX: 872147880MIN: 1295899 / MAX: 426733056MIN: 1310316 / MAX: 410968800MIN: 1363853 / MAX: 568181736MIN: 1371138 / MAX: 543311568
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeRyzen 9 5900XRyzen 9 5900XaRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X14M28M42M56M70MMin: 75699044.08 / Avg: 79672506.45 / Max: 84745470.3Min: 78833325.81 / Avg: 80112360.96 / Max: 82326437.51Min: 59713632.41 / Avg: 60724115.84 / Max: 61777105.73Min: 59585228.51 / Avg: 60252649.11 / Max: 60609111.08Min: 70571711.14 / Avg: 71378988.74 / Max: 72159673.92Min: 71424907.16 / Avg: 71968735.77 / Max: 72526627.89

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.957.857.906.936.901. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 5.87 / Avg: 5.95 / Max: 6.03Min: 7.84 / Avg: 7.85 / Max: 7.85Min: 7.84 / Avg: 7.9 / Max: 7.93Min: 6.9 / Avg: 6.93 / Max: 6.96Min: 6.88 / Avg: 6.9 / Max: 6.921. (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 FastRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150SE +/- 0.37, N = 3SE +/- 0.33, N = 3SE +/- 0.30, N = 3SE +/- 0.20, N = 3SE +/- 0.38, N = 3129.1898.3499.17122.60122.681. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 128.51 / Avg: 129.18 / Max: 129.79Min: 97.99 / Avg: 98.34 / Max: 99.01Min: 98.66 / Avg: 99.17 / Max: 99.71Min: 122.39 / Avg: 122.6 / Max: 123Min: 122 / Avg: 122.68 / Max: 123.331. (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 HydrodynamicsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.11832.23663.35494.47325.5915SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.804.564.814.754.971. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 3.77 / Avg: 3.8 / Max: 3.84Min: 4.55 / Avg: 4.56 / Max: 4.57Min: 4.81 / Avg: 4.81 / Max: 4.82Min: 4.75 / Avg: 4.75 / Max: 4.76Min: 4.95 / Avg: 4.97 / Max: 4.981. (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 4KRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250SE +/- 0.31, N = 3SE +/- 0.15, N = 3SE +/- 0.25, N = 3SE +/- 0.33, N = 3SE +/- 0.59, N = 3223.16172.35171.36195.64194.21MIN: 187.58 / MAX: 239.18MIN: 162.37 / MAX: 195.27MIN: 161.78 / MAX: 194.07MIN: 179.71 / MAX: 214.51MIN: 178.9 / MAX: 214.211. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 222.57 / Avg: 223.16 / Max: 223.61Min: 172.17 / Avg: 172.35 / Max: 172.65Min: 170.94 / Avg: 171.36 / Max: 171.79Min: 195.01 / Avg: 195.64 / Max: 196.14Min: 193.54 / Avg: 194.21 / Max: 195.371. (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 CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 0.64, N = 3SE +/- 2.08, N = 3SE +/- 1.70, N = 3SE +/- 1.93, N = 3SE +/- 2.95, N = 3716.14921.53922.11817.25817.32
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X160320480640800Min: 715.16 / Avg: 716.14 / Max: 717.35Min: 917.58 / Avg: 921.53 / Max: 924.66Min: 919.58 / Avg: 922.11 / Max: 925.35Min: 813.48 / Avg: 817.25 / Max: 819.84Min: 812.88 / Avg: 817.32 / Max: 822.91

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: P3B2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X120240360480600568.06464.04465.31441.43442.51

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.17682.35363.53044.70725.884SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 35.234.384.424.134.07MIN: 5.15 / MAX: 6.5MIN: 4.3 / MAX: 5.59MIN: 4.37 / MAX: 5.18MIN: 3.99 / MAX: 18.04MIN: 4.01 / MAX: 5.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.19 / Avg: 5.23 / Max: 5.25Min: 4.37 / Avg: 4.38 / Max: 4.39Min: 4.42 / Avg: 4.42 / Max: 4.42Min: 4.02 / Avg: 4.13 / Max: 4.28Min: 4.06 / Avg: 4.07 / Max: 4.091. (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: vklBenchmarkVdbVolumeRyzen 9 5900XRyzen 9 5900XaRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4M8M12M16M20MSE +/- 154659.06, N = 3SE +/- 26905.55, N = 3SE +/- 44716.68, N = 3SE +/- 35830.58, N = 3SE +/- 71046.73, N = 3SE +/- 73069.36, N = 318779249.0018980250.3114831168.1114918098.2316914302.0916975644.96MIN: 1182930 / MAX: 76321224MIN: 1179210 / MAX: 93634272MIN: 1141257 / MAX: 41818392MIN: 1150974 / MAX: 43411824MIN: 1190466 / MAX: 59425776MIN: 1188619 / MAX: 60171264
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeRyzen 9 5900XRyzen 9 5900XaRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3M6M9M12M15MMin: 18622382.55 / Avg: 18779249 / Max: 19088556.57Min: 18928064.14 / Avg: 18980250.31 / Max: 19017709.07Min: 14743835.86 / Avg: 14831168.11 / Max: 14891524.14Min: 14864231.82 / Avg: 14918098.23 / Max: 14985961.84Min: 16830172.91 / Avg: 16914302.09 / Max: 17055536.36Min: 16876309.16 / Avg: 16975644.96 / Max: 17118139

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 5Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.22, N = 3SE +/- 0.31, N = 327.221.521.524.924.8
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 26.9 / Avg: 27.2 / Max: 27.4Min: 21.4 / Avg: 21.5 / Max: 21.6Min: 21.3 / Avg: 21.47 / Max: 21.6Min: 24.6 / Avg: 24.87 / Max: 25.3Min: 24.2 / Avg: 24.8 / Max: 25.2

libgav1

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

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1428425670SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.26, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 358.4949.6249.3562.2662.251. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860Min: 58.41 / Avg: 58.49 / Max: 58.56Min: 49.56 / Avg: 49.62 / Max: 49.65Min: 48.83 / Avg: 49.35 / Max: 49.66Min: 62.15 / Avg: 62.26 / Max: 62.38Min: 62.11 / Avg: 62.25 / Max: 62.41. (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 FastRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1530456075SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.19, N = 368.9255.1555.1666.1365.771. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1326395265Min: 68.63 / Avg: 68.92 / Max: 69.17Min: 54.9 / Avg: 55.15 / Max: 55.45Min: 54.99 / Avg: 55.16 / Max: 55.38Min: 66.12 / Avg: 66.13 / Max: 66.15Min: 65.4 / Avg: 65.77 / Max: 65.971. (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 SpaceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 4.70, N = 3SE +/- 0.67, N = 3SE +/- 1.20, N = 310438548369339141. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000Min: 1034 / Avg: 1043.33 / Max: 1049Min: 835 / Avg: 836.33 / Max: 837Min: 912 / Avg: 913.67 / Max: 9161. (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: Points2ImageRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X8K16K24K32K40KSE +/- 313.78, N = 3SE +/- 143.67, N = 3SE +/- 217.48, N = 3SE +/- 229.50, N = 3SE +/- 106.06, N = 330203.9737070.4937032.1435913.1836182.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X6K12K18K24K30KMin: 29581.13 / Avg: 30203.97 / Max: 30581.97Min: 36828.57 / Avg: 37070.49 / Max: 37325.74Min: 36600.32 / Avg: 37032.14 / Max: 37293.26Min: 35457.85 / Avg: 35913.18 / Max: 36191.02Min: 35988.7 / Avg: 36182.33 / Max: 36354.161. (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 PNGRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 15SE +/- 0.13, N = 320.9518.2918.4717.1117.211. rsvg-convert version 2.50.1
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 20.77 / Avg: 20.95 / Max: 21.1Min: 18.12 / Avg: 18.29 / Max: 18.62Min: 18.41 / Avg: 18.47 / Max: 18.51Min: 16.3 / Avg: 17.11 / Max: 18.23Min: 16.96 / Avg: 17.21 / Max: 17.341. 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-v3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240SE +/- 0.22, N = 10SE +/- 0.80, N = 3SE +/- 0.14, N = 3SE +/- 0.19, N = 3SE +/- 0.58, N = 727.7832.5133.4929.8228.51MIN: 26.88 / MAX: 36.93MIN: 30.76 / MAX: 41.16MIN: 33.06 / MAX: 41.84MIN: 29.25 / MAX: 38.99MIN: 26.45 / MAX: 35.451. (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-v3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 27.16 / Avg: 27.78 / Max: 29.62Min: 30.92 / Avg: 32.51 / Max: 33.35Min: 33.21 / Avg: 33.49 / Max: 33.63Min: 29.5 / Avg: 29.82 / Max: 30.17Min: 26.74 / Avg: 28.51 / Max: 29.811. (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-onlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.008, N = 3SE +/- 0.015, N = 3SE +/- 0.006, N = 3SE +/- 0.011, N = 3SE +/- 0.005, N = 35.6966.8076.8126.2446.255
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 5.69 / Avg: 5.7 / Max: 5.71Min: 6.79 / Avg: 6.81 / Max: 6.84Min: 6.8 / Avg: 6.81 / Max: 6.82Min: 6.22 / Avg: 6.24 / Max: 6.26Min: 6.25 / Avg: 6.25 / Max: 6.26

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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 316.0317.8018.3818.4619.03MIN: 15.68MIN: 17.63MIN: 18.03MIN: 18.01MIN: 18.561. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 16 / Avg: 16.03 / Max: 16.05Min: 17.77 / Avg: 17.8 / Max: 17.84Min: 18.32 / Avg: 18.38 / Max: 18.42Min: 18.41 / Avg: 18.46 / Max: 18.55Min: 18.91 / Avg: 19.03 / Max: 19.11. (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 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1632486480SE +/- 0.15, N = 3SE +/- 0.70, N = 3SE +/- 0.54, N = 3SE +/- 0.69, N = 3SE +/- 0.06, N = 370.2659.2959.6562.4462.321. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1428425670Min: 70 / Avg: 70.26 / Max: 70.51Min: 57.96 / Avg: 59.29 / Max: 60.32Min: 58.8 / Avg: 59.65 / Max: 60.65Min: 61.57 / Avg: 62.44 / Max: 63.8Min: 62.22 / Avg: 62.32 / Max: 62.441. (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 CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 382.8197.7398.0988.7588.98
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 82.38 / Avg: 82.81 / Max: 83.15Min: 97.61 / Avg: 97.73 / Max: 97.8Min: 97.79 / Avg: 98.09 / Max: 98.55Min: 88.63 / Avg: 88.75 / Max: 88.92Min: 88.67 / Avg: 88.98 / Max: 89.16

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X140280420560700SE +/- 1.28, N = 3SE +/- 2.41, N = 3SE +/- 1.85, N = 3SE +/- 0.81, N = 3SE +/- 3.70, N = 3638.64544.62540.37621.33620.24MIN: 484.32 / MAX: 799.84MIN: 401.45 / MAX: 837.86MIN: 401.38 / MAX: 828.64MIN: 469.11 / MAX: 856.07MIN: 467.8 / MAX: 841.951. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X110220330440550Min: 637.12 / Avg: 638.64 / Max: 641.19Min: 541.95 / Avg: 544.62 / Max: 549.43Min: 536.67 / Avg: 540.37 / Max: 542.39Min: 619.82 / Avg: 621.33 / Max: 622.61Min: 613.62 / Avg: 620.24 / Max: 626.431. (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: FastRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.16332.32663.48994.65325.8165SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 34.405.155.174.734.691. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.31 / Avg: 4.4 / Max: 4.52Min: 5.09 / Avg: 5.15 / Max: 5.19Min: 5.13 / Avg: 5.17 / Max: 5.2Min: 4.68 / Avg: 4.73 / Max: 4.79Min: 4.63 / Avg: 4.69 / Max: 4.781. (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-bitRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 325.4422.1922.1325.9725.941. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080p 10-bitRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 25.33 / Avg: 25.44 / Max: 25.55Min: 22.16 / Avg: 22.19 / Max: 22.22Min: 22.09 / Avg: 22.13 / Max: 22.16Min: 25.9 / Avg: 25.97 / Max: 26.01Min: 25.92 / Avg: 25.94 / Max: 25.961. (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: googlenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 312.6611.6811.7011.3210.89MIN: 12.56 / MAX: 12.93MIN: 11.54 / MAX: 12.81MIN: 11.58 / MAX: 22.96MIN: 10.65 / MAX: 12.93MIN: 10.47 / MAX: 22.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 12.64 / Avg: 12.66 / Max: 12.69Min: 11.66 / Avg: 11.68 / Max: 11.69Min: 11.67 / Avg: 11.7 / Max: 11.75Min: 10.85 / Avg: 11.32 / Max: 11.59Min: 10.72 / Avg: 10.89 / Max: 11.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.12282.24563.36844.49125.614SE +/- 0.056, N = 3SE +/- 0.034, N = 3SE +/- 0.031, N = 3SE +/- 0.042, N = 3SE +/- 0.033, N = 34.3124.9904.9524.5944.5861. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.24 / Avg: 4.31 / Max: 4.42Min: 4.92 / Avg: 4.99 / Max: 5.03Min: 4.89 / Avg: 4.95 / Max: 5Min: 4.53 / Avg: 4.59 / Max: 4.68Min: 4.54 / Avg: 4.59 / Max: 4.651. (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 RNARyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.065, N = 3SE +/- 0.062, N = 3SE +/- 0.094, N = 3SE +/- 0.013, N = 3SE +/- 0.045, N = 37.5648.5578.7388.6828.7081. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNARyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 7.44 / Avg: 7.56 / Max: 7.65Min: 8.47 / Avg: 8.56 / Max: 8.68Min: 8.58 / Avg: 8.74 / Max: 8.9Min: 8.66 / Avg: 8.68 / Max: 8.7Min: 8.65 / Avg: 8.71 / Max: 8.81. (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 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X130260390520650SE +/- 1.16, N = 3SE +/- 1.22, N = 3SE +/- 3.44, N = 3SE +/- 1.86, N = 3SE +/- 1.92, N = 3606.86525.51528.69565.16568.53MIN: 467.52 / MAX: 658.93MIN: 450.44 / MAX: 569.79MIN: 472.86 / MAX: 578.85MIN: 478.92 / MAX: 617.47MIN: 465.22 / MAX: 625.971. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X110220330440550Min: 605.7 / Avg: 606.86 / Max: 609.18Min: 523.33 / Avg: 525.51 / Max: 527.54Min: 524.71 / Avg: 528.69 / Max: 535.54Min: 563.23 / Avg: 565.16 / Max: 568.88Min: 564.76 / Avg: 568.53 / Max: 571.031. (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 4KRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 328.1125.3425.2729.1128.961. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 4KRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 28 / Avg: 28.11 / Max: 28.17Min: 25.26 / Avg: 25.34 / Max: 25.43Min: 25.25 / Avg: 25.27 / Max: 25.3Min: 29.09 / Avg: 29.11 / Max: 29.13Min: 28.89 / Avg: 28.96 / Max: 29.031. (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: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3K6K9K12K15KSE +/- 89.36, N = 3SE +/- 216.77, N = 12SE +/- 193.39, N = 11SE +/- 138.89, N = 3SE +/- 68.15, N = 314105156781590116200162441. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3K6K9K12K15KMin: 14012 / Avg: 14105.33 / Max: 14284Min: 14048 / Avg: 15678.17 / Max: 16261Min: 14067 / Avg: 15901.18 / Max: 16408Min: 15924 / Avg: 16200.33 / Max: 16363Min: 16162 / Avg: 16243.67 / Max: 163791. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 313.4715.3315.4714.4714.42MIN: 13.28 / MAX: 13.71MIN: 15.21 / MAX: 15.56MIN: 15.3 / MAX: 15.76MIN: 14.23 / MAX: 14.81MIN: 14.22 / MAX: 151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 13.45 / Avg: 13.47 / Max: 13.51Min: 15.31 / Avg: 15.33 / Max: 15.34Min: 15.38 / Avg: 15.47 / Max: 15.52Min: 14.37 / Avg: 14.47 / Max: 14.63Min: 14.4 / Avg: 14.42 / Max: 14.441. (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 TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 346.6053.4653.3950.4050.281. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1122334455Min: 46.46 / Avg: 46.6 / Max: 46.72Min: 53.43 / Avg: 53.46 / Max: 53.5Min: 53.36 / Avg: 53.39 / Max: 53.43Min: 50.28 / Avg: 50.4 / Max: 50.5Min: 50.23 / Avg: 50.28 / Max: 50.321. 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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1326395265SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 358.7251.2351.1955.6555.64
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860Min: 58.6 / Avg: 58.72 / Max: 58.95Min: 51 / Avg: 51.23 / Max: 51.62Min: 50.94 / Avg: 51.19 / Max: 51.6Min: 55.51 / Avg: 55.65 / Max: 55.76Min: 55.57 / Avg: 55.64 / Max: 55.68

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 312.2810.7310.7210.8510.86
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 12.24 / Avg: 12.28 / Max: 12.34Min: 10.69 / Avg: 10.73 / Max: 10.77Min: 10.72 / Avg: 10.72 / Max: 10.73Min: 10.76 / Avg: 10.84 / Max: 11Min: 10.79 / Avg: 10.86 / Max: 11

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.019, N = 3SE +/- 0.040, N = 3SE +/- 0.038, N = 3SE +/- 0.025, N = 3SE +/- 0.018, N = 35.4916.2716.2645.8595.9351. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 5.46 / Avg: 5.49 / Max: 5.53Min: 6.19 / Avg: 6.27 / Max: 6.32Min: 6.21 / Avg: 6.26 / Max: 6.34Min: 5.81 / Avg: 5.86 / Max: 5.89Min: 5.9 / Avg: 5.93 / Max: 5.951. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1020304050SE +/- 0.27, N = 3SE +/- 0.02, N = 3SE +/- 0.25, N = 3SE +/- 0.02, N = 3SE +/- 0.66, N = 337.8043.0643.1240.1140.441. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645Min: 37.26 / Avg: 37.8 / Max: 38.12Min: 43.03 / Avg: 43.06 / Max: 43.08Min: 42.79 / Avg: 43.12 / Max: 43.62Min: 40.08 / Avg: 40.11 / Max: 40.15Min: 39.56 / Avg: 40.44 / Max: 41.741. (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: resnet50Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.29, N = 3SE +/- 0.28, N = 323.7225.0825.4622.6922.34MIN: 23.57 / MAX: 24.13MIN: 24.9 / MAX: 36.77MIN: 25.07 / MAX: 25.89MIN: 21.99 / MAX: 24.17MIN: 21.92 / MAX: 23.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 23.68 / Avg: 23.72 / Max: 23.77Min: 25.06 / Avg: 25.08 / Max: 25.11Min: 25.17 / Avg: 25.46 / Max: 25.62Min: 22.1 / Avg: 22.69 / Max: 23.02Min: 22.04 / Avg: 22.34 / Max: 22.891. (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: 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.0360.0720.1080.1440.18SE +/- 0.002, N = 4SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.1600.1420.1410.1520.1501. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X12345Min: 0.16 / Avg: 0.16 / Max: 0.17Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.151. (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: 10Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.04872.09743.14614.19485.2435SE +/- 0.031, N = 3SE +/- 0.041, N = 3SE +/- 0.049, N = 3SE +/- 0.009, N = 3SE +/- 0.040, N = 34.1184.6614.6084.2984.3281. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.08 / Avg: 4.12 / Max: 4.18Min: 4.58 / Avg: 4.66 / Max: 4.71Min: 4.54 / Avg: 4.61 / Max: 4.7Min: 4.28 / Avg: 4.3 / Max: 4.31Min: 4.28 / Avg: 4.33 / Max: 4.411. (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: BLASRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X130260390520650SE +/- 6.87, N = 5SE +/- 5.77, N = 3SE +/- 4.67, N = 3SE +/- 3.53, N = 3SE +/- 2.08, N = 35435855856145981. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X110220330440550Min: 524 / Avg: 542.6 / Max: 560Min: 575 / Avg: 585 / Max: 595Min: 580 / Avg: 584.67 / Max: 594Min: 609 / Avg: 614.33 / Max: 621Min: 595 / Avg: 598 / Max: 6021. (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: EXPoSERyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X130260390520650SE +/- 0.49, N = 3SE +/- 0.21, N = 3SE +/- 0.64, N = 3SE +/- 1.53, N = 3SE +/- 1.09, N = 3601.08534.89537.41572.75573.84
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSERyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X110220330440550Min: 600.18 / Avg: 601.07 / Max: 601.87Min: 534.67 / Avg: 534.89 / Max: 535.3Min: 536.23 / Avg: 537.41 / Max: 538.42Min: 570.26 / Avg: 572.75 / Max: 575.53Min: 571.66 / Avg: 573.84 / Max: 574.93

miniFE

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

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X10002000300040005000SE +/- 11.64, N = 3SE +/- 6.57, N = 3SE +/- 2.07, N = 3SE +/- 6.08, N = 3SE +/- 2.37, N = 34262.624741.564755.144304.074311.711. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X8001600240032004000Min: 4250.53 / Avg: 4262.62 / Max: 4285.89Min: 4732.6 / Avg: 4741.56 / Max: 4754.35Min: 4751.29 / Avg: 4755.14 / Max: 4758.39Min: 4297.84 / Avg: 4304.07 / Max: 4316.22Min: 4307.1 / Avg: 4311.71 / Max: 4314.981. (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 BenchmarkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.030.060.090.120.15SE +/- 0.0017, N = 3SE +/- 0.0005, N = 3SE +/- 0.0009, N = 3SE +/- 0.0013, N = 3SE +/- 0.0003, N = 30.12040.13320.13320.12080.11961. R scripting front-end version 4.0.2 (2020-06-22)
OpenBenchmarking.orgSeconds, Fewer Is BetterR BenchmarkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X12345Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 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 ImagesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 319.2617.7817.7417.3517.59
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 19.04 / Avg: 19.26 / Max: 19.4Min: 17.71 / Avg: 17.78 / Max: 17.89Min: 17.7 / Avg: 17.74 / Max: 17.82Min: 17.3 / Avg: 17.35 / Max: 17.43Min: 17.41 / Avg: 17.59 / Max: 17.72

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: P3B1Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X300600900120015001191.531073.771079.971159.501162.12

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 0.22.1Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.077, N = 3SE +/- 0.015, N = 3SE +/- 0.041, N = 3SE +/- 0.006, N = 3SE +/- 0.012, N = 37.5198.3438.2867.6457.613
OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 7.44 / Avg: 7.52 / Max: 7.67Min: 8.32 / Avg: 8.34 / Max: 8.37Min: 8.24 / Avg: 8.29 / Max: 8.37Min: 7.63 / Avg: 7.65 / Max: 7.65Min: 7.59 / Avg: 7.61 / Max: 7.63

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-onlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.04190.08380.12570.16760.2095SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.1860.1680.1690.1770.176
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X12345Min: 0.18 / Avg: 0.19 / Max: 0.19Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.18 / Avg: 0.18 / Max: 0.18

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.09450.1890.28350.3780.4725SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.420.390.380.410.401. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X12345Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.38 / Avg: 0.39 / Max: 0.39Min: 0.38 / Avg: 0.38 / Max: 0.39Min: 0.4 / Avg: 0.41 / Max: 0.41Min: 0.4 / Avg: 0.4 / Max: 0.41. (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 ClusterRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30060090012001500SE +/- 14.18, N = 3SE +/- 1.50, N = 3SE +/- 0.45, N = 3SE +/- 0.70, N = 3SE +/- 4.82, N = 31444.161308.231314.651377.571387.791. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30060090012001500Min: 1415.81 / Avg: 1444.16 / Max: 1459.2Min: 1305.3 / Avg: 1308.23 / Max: 1310.25Min: 1314.01 / Avg: 1314.65 / Max: 1315.52Min: 1376.8 / Avg: 1377.57 / Max: 1378.96Min: 1378.15 / Avg: 1387.79 / Max: 1392.881. (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 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.07, N = 3SE +/- 0.47, N = 3SE +/- 0.13, N = 3SE +/- 0.28, N = 3SE +/- 0.18, N = 392.2884.5884.7592.8493.341. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 1080pRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 92.17 / Avg: 92.28 / Max: 92.41Min: 83.73 / Avg: 84.58 / Max: 85.35Min: 84.6 / Avg: 84.75 / Max: 85Min: 92.28 / Avg: 92.84 / Max: 93.16Min: 92.99 / Avg: 93.34 / Max: 93.611. (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 tau100.0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200SE +/- 2.67, N = 3SE +/- 0.33, N = 3SE +/- 3.51, N = 3SE +/- 1.20, N = 31852032041971971. (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 tau100.0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 182 / Avg: 184.67 / Max: 190Min: 202 / Avg: 202.67 / Max: 203Min: 200 / Avg: 204 / Max: 211Min: 195 / Avg: 197.33 / Max: 1991. (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-tinyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 0.10, N = 321.3520.1720.2019.8419.39MIN: 21.14 / MAX: 33.04MIN: 19.68 / MAX: 20.9MIN: 20.06 / MAX: 20.49MIN: 19.25 / MAX: 20.54MIN: 19.12 / MAX: 19.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 21.28 / Avg: 21.35 / Max: 21.4Min: 19.85 / Avg: 20.17 / Max: 20.6Min: 20.16 / Avg: 20.2 / Max: 20.24Min: 19.35 / Avg: 19.84 / Max: 20.3Min: 19.22 / Avg: 19.39 / Max: 19.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 312.5712.2112.2411.9811.45MIN: 12.34 / MAX: 13.93MIN: 12.02 / MAX: 24.54MIN: 12.06 / MAX: 12.55MIN: 11.54 / MAX: 12.55MIN: 11.24 / MAX: 11.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 12.54 / Avg: 12.57 / Max: 12.63Min: 12.13 / Avg: 12.21 / Max: 12.28Min: 12.23 / Avg: 12.24 / Max: 12.26Min: 11.6 / Avg: 11.98 / Max: 12.3Min: 11.42 / Avg: 11.45 / Max: 11.51. (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 CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 318.0819.8419.7818.6218.67
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 18.06 / Avg: 18.08 / Max: 18.1Min: 19.73 / Avg: 19.84 / Max: 19.97Min: 19.65 / Avg: 19.78 / Max: 19.86Min: 18.51 / Avg: 18.62 / Max: 18.77Min: 18.57 / Avg: 18.67 / Max: 18.77

FFTW

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

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3K6K9K12K15KSE +/- 82.30, N = 3SE +/- 157.50, N = 3SE +/- 18.72, N = 3SE +/- 13.20, N = 3SE +/- 117.49, N = 313891126861278413066131851. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2K4K6K8K10KMin: 13780 / Avg: 13891.33 / Max: 14052Min: 12373 / Avg: 12686.33 / Max: 12871Min: 12749 / Avg: 12784 / Max: 12813Min: 13040 / Avg: 13066 / Max: 13083Min: 13044 / Avg: 13184.67 / Max: 134181. (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: P1B2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X81624324036.9334.0833.7733.9033.92

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 311.2210.2610.3210.8910.73
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 11.13 / Avg: 11.22 / Max: 11.38Min: 10.21 / Avg: 10.26 / Max: 10.33Min: 10.27 / Avg: 10.32 / Max: 10.35Min: 10.81 / Avg: 10.89 / Max: 10.96Min: 10.49 / Avg: 10.73 / Max: 10.86

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.20, N = 10SE +/- 0.02, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.29, N = 727.8425.8526.1726.1725.63MIN: 27.12 / MAX: 37.4MIN: 25.66 / MAX: 34.05MIN: 25.66 / MAX: 34.06MIN: 25.9 / MAX: 34.67MIN: 24.52 / MAX: 34.571. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 27.28 / Avg: 27.84 / Max: 29.25Min: 25.81 / Avg: 25.85 / Max: 25.89Min: 25.77 / Avg: 26.17 / Max: 26.4Min: 26.14 / Avg: 26.17 / Max: 26.22Min: 24.77 / Avg: 25.63 / Max: 26.291. (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-onlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.013, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.014, N = 3SE +/- 0.011, N = 35.6386.1116.1225.8035.805
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.61 / Avg: 5.64 / Max: 5.66Min: 6.1 / Avg: 6.11 / Max: 6.12Min: 6.12 / Avg: 6.12 / Max: 6.13Min: 5.79 / Avg: 5.8 / Max: 5.83Min: 5.78 / Avg: 5.8 / Max: 5.82

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.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X70140210280350SE +/- 0.58, N = 3SE +/- 1.53, N = 3SE +/- 1.00, N = 32802942963043031. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250Min: 295 / Avg: 296 / Max: 297Min: 302 / Avg: 304 / Max: 307Min: 301 / Avg: 303 / Max: 3041. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. AMD Ryzen 7 5800X: firefox 82.0.3

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200SE +/- 0.78, N = 3SE +/- 0.33, N = 3SE +/- 2.39, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3176.33166.11163.04175.10171.681. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 174.88 / Avg: 176.33 / Max: 177.53Min: 165.67 / Avg: 166.11 / Max: 166.75Min: 158.29 / Avg: 163.04 / Max: 165.82Min: 175.04 / Avg: 175.1 / Max: 175.15Min: 171.61 / Avg: 171.68 / Max: 171.741. (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_startupRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.266.056.045.815.79
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 6.26 / Avg: 6.26 / Max: 6.27Min: 6.03 / Avg: 6.05 / Max: 6.07Min: 6.03 / Avg: 6.04 / Max: 6.04Min: 5.8 / Avg: 5.81 / Max: 5.81Min: 5.78 / Avg: 5.79 / Max: 5.8

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 MappingRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 2.32, N = 3SE +/- 5.90, N = 3SE +/- 6.90, N = 3SE +/- 5.03, N = 3SE +/- 5.90, N = 3912.98985.15985.65923.15930.101. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000Min: 908.4 / Avg: 912.98 / Max: 915.97Min: 973.43 / Avg: 985.15 / Max: 992.1Min: 972 / Avg: 985.65 / Max: 994.24Min: 913.11 / Avg: 923.15 / Max: 928.81Min: 918.72 / Avg: 930.1 / Max: 938.491. (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: 200Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X16K32K48K64K80KSE +/- 230.78, N = 3SE +/- 24.66, N = 3SE +/- 77.40, N = 3SE +/- 214.09, N = 3SE +/- 270.64, N = 377028730777293671573715271. (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: 200Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X13K26K39K52K65KMin: 76636 / Avg: 77027.67 / Max: 77435Min: 73030 / Avg: 73077.33 / Max: 73113Min: 72785 / Avg: 72936 / Max: 73041Min: 71304 / Avg: 71573 / Max: 71996Min: 71032 / Avg: 71527.33 / Max: 719641. (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 BenchmarkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.26, N = 352.9349.4549.1651.2451.061. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1122334455Min: 52.76 / Avg: 52.93 / Max: 53.18Min: 49.41 / Avg: 49.45 / Max: 49.48Min: 48.97 / Avg: 49.16 / Max: 49.27Min: 51.16 / Avg: 51.24 / Max: 51.34Min: 50.54 / Avg: 51.06 / Max: 51.391. (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 32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X13K26K39K52K65KSE +/- 815.13, N = 12SE +/- 383.46, N = 3SE +/- 761.68, N = 3SE +/- 342.02, N = 3SE +/- 223.57, N = 358019602896025962391613351. (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 32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X11K22K33K44K55KMin: 54221 / Avg: 58018.75 / Max: 63039Min: 59527 / Avg: 60289.33 / Max: 60743Min: 58736 / Avg: 60259.33 / Max: 61030Min: 61708 / Avg: 62391 / Max: 62765Min: 60919 / Avg: 61335 / Max: 616851. (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: 100Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X8K16K24K32K40KSE +/- 183.67, N = 3SE +/- 83.27, N = 3SE +/- 112.72, N = 3SE +/- 352.86, N = 3SE +/- 202.18, N = 337784364613644135522351621. (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: 100Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X7K14K21K28K35KMin: 37512 / Avg: 37784.33 / Max: 38134Min: 36306 / Avg: 36461.33 / Max: 36591Min: 36237 / Avg: 36441.33 / Max: 36626Min: 34919 / Avg: 35521.67 / Max: 36141Min: 34775 / Avg: 35162 / Max: 354571. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1000Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X80K160K240K320K400KSE +/- 333.48, N = 3SE +/- 364.74, N = 3SE +/- 123.95, N = 3SE +/- 850.93, N = 3SE +/- 413.45, N = 33873893645833646463622423605131. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1000Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X70K140K210K280K350KMin: 387025 / Avg: 387389 / Max: 388055Min: 364156 / Avg: 364583.33 / Max: 365309Min: 364437 / Avg: 364646.33 / Max: 364866Min: 360557 / Avg: 362241.67 / Max: 363293Min: 359789 / Avg: 360512.67 / Max: 3612211. (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-bitRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.05, N = 3125.75117.62117.10122.18122.88MIN: 87.04 / MAX: 259.34MIN: 78.37 / MAX: 285.75MIN: 77.92 / MAX: 280.75MIN: 82.12 / MAX: 285.11MIN: 82.25 / MAX: 288.121. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 125.39 / Avg: 125.75 / Max: 126.01Min: 117.55 / Avg: 117.62 / Max: 117.77Min: 116.94 / Avg: 117.1 / Max: 117.33Min: 121.75 / Avg: 122.18 / Max: 122.48Min: 122.78 / Avg: 122.88 / Max: 122.961. (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 SolverRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X11002200330044005500SE +/- 75.94, N = 15SE +/- 66.75, N = 15SE +/- 60.60, N = 15SE +/- 74.48, N = 15SE +/- 61.14, N = 155322.165137.354957.595167.375213.081. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X9001800270036004500Min: 4874.11 / Avg: 5322.16 / Max: 5835.94Min: 4623.01 / Avg: 5137.35 / Max: 5415.96Min: 4611.99 / Avg: 4957.59 / Max: 5232.96Min: 4762.95 / Avg: 5167.37 / Max: 5558.59Min: 4849.85 / Avg: 5213.08 / Max: 5651.051. (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-onlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 313.0312.2512.2813.1313.11
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 13.03 / Avg: 13.03 / Max: 13.03Min: 12.24 / Avg: 12.25 / Max: 12.27Min: 12.27 / Avg: 12.28 / Max: 12.31Min: 13.1 / Avg: 13.13 / Max: 13.15Min: 13.1 / Avg: 13.1 / Max: 13.11

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.030, N = 3SE +/- 0.110, N = 3SE +/- 0.094, N = 3SE +/- 0.087, N = 3SE +/- 0.064, N = 36.2286.6486.6496.2056.250
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 6.19 / Avg: 6.23 / Max: 6.29Min: 6.52 / Avg: 6.65 / Max: 6.87Min: 6.51 / Avg: 6.65 / Max: 6.83Min: 6.09 / Avg: 6.2 / Max: 6.38Min: 6.18 / Avg: 6.25 / Max: 6.38

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1020304050SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 340.6143.1543.1940.3840.31
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645Min: 40.43 / Avg: 40.61 / Max: 40.73Min: 43.09 / Avg: 43.15 / Max: 43.2Min: 43.14 / Avg: 43.19 / Max: 43.28Min: 40.21 / Avg: 40.38 / Max: 40.61Min: 40.06 / Avg: 40.31 / Max: 40.49

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X40K80K120K160K200KSE +/- 238.69, N = 3SE +/- 386.97, N = 3SE +/- 100.37, N = 3SE +/- 90.65, N = 3SE +/- 270.82, N = 31958621844951852461840521834621. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30K60K90K120K150KMin: 195574 / Avg: 195862.33 / Max: 196336Min: 183850 / Avg: 184495.33 / Max: 185188Min: 185046 / Avg: 185246 / Max: 185361Min: 183896 / Avg: 184051.67 / Max: 184210Min: 183144 / Avg: 183462.33 / Max: 1840011. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20K40K60K80K100KSE +/- 100.23, N = 3SE +/- 28.54, N = 3SE +/- 130.17, N = 3SE +/- 239.58, N = 3SE +/- 56.26, N = 397659920089272691741914891. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20K40K60K80K100KMin: 97544 / Avg: 97659.33 / Max: 97859Min: 91977 / Avg: 92008 / Max: 92065Min: 92557 / Avg: 92726 / Max: 92982Min: 91262 / Avg: 91741 / Max: 91991Min: 91377 / Avg: 91489.33 / Max: 915511. (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 4096Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X7K14K21K28K35KSE +/- 370.08, N = 5SE +/- 441.94, N = 9SE +/- 360.82, N = 9SE +/- 501.02, N = 3SE +/- 62.96, N = 330986294312988530915313981. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X5K10K15K20K25KMin: 29855 / Avg: 30985.8 / Max: 31898Min: 27712 / Avg: 29430.56 / Max: 30803Min: 28033 / Avg: 29884.78 / Max: 30823Min: 29917 / Avg: 30915.33 / Max: 31489Min: 31316 / Avg: 31398.33 / Max: 315221. (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-RelaxationRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X5001000150020002500SE +/- 26.14, N = 3SE +/- 4.92, N = 3SE +/- 4.72, N = 3SE +/- 0.05, N = 3SE +/- 1.64, N = 32429.562290.262327.762442.232433.141. (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-RelaxationRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X400800120016002000Min: 2379.23 / Avg: 2429.56 / Max: 2466.95Min: 2281.61 / Avg: 2290.26 / Max: 2298.63Min: 2319.97 / Avg: 2327.76 / Max: 2336.28Min: 2442.18 / Avg: 2442.23 / Max: 2442.33Min: 2430.41 / Avg: 2433.14 / Max: 2436.071. (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 AnalysisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1326395265SE +/- 0.43, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.70, N = 358.7955.3855.1558.1658.491. (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 AnalysisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860Min: 57.99 / Avg: 58.79 / Max: 59.46Min: 55.23 / Avg: 55.38 / Max: 55.49Min: 55 / Avg: 55.15 / Max: 55.36Min: 57.88 / Avg: 58.16 / Max: 58.37Min: 57.27 / Avg: 58.49 / Max: 59.71. (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: 1000Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X200K400K600K800K1000KSE +/- 1376.91, N = 3SE +/- 1425.81, N = 3SE +/- 1157.66, N = 3SE +/- 559.80, N = 3SE +/- 495.56, N = 39776149233769272439177039179571. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1000Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X200K400K600K800K1000KMin: 974866 / Avg: 977614.33 / Max: 979139Min: 921446 / Avg: 923376 / Max: 926159Min: 925841 / Avg: 927243.33 / Max: 929540Min: 916829 / Avg: 917703 / Max: 918746Min: 917113 / Avg: 917957 / Max: 9188291. (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 5Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240SE +/- 0.25, N = 3SE +/- 0.16, N = 3SE +/- 0.29, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 330.6832.6832.1332.4032.271. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 30.22 / Avg: 30.68 / Max: 31.06Min: 32.41 / Avg: 32.68 / Max: 32.95Min: 31.8 / Avg: 32.13 / Max: 32.7Min: 32.21 / Avg: 32.4 / Max: 32.66Min: 32.14 / Avg: 32.27 / Max: 32.511. (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: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.41, N = 398.6101.0101.0105.0104.01. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 97.9 / Avg: 98.63 / Max: 99.31. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 5.84, N = 3SE +/- 5.49, N = 3SE +/- 0.88, N = 3SE +/- 4.36, N = 3SE +/- 2.52, N = 31045102898210419931. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000Min: 1039 / Avg: 1045.33 / Max: 1057Min: 1018 / Avg: 1027.67 / Max: 1037Min: 980 / Avg: 981.67 / Max: 983Min: 1034 / Avg: 1041 / Max: 1049Min: 988 / Avg: 993 / Max: 9961. (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 5600XRyzen 7 5800XAMD Ryzen 7 5800X800K1600K2400K3200K4000KSE +/- 31024.92, N = 3SE +/- 37460.92, N = 3SE +/- 50413.53, N = 33642818.253425847.503490511.001. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X600K1200K1800K2400K3000KMin: 3585490.75 / Avg: 3642818.25 / Max: 3692044.25Min: 3356241.5 / Avg: 3425847.5 / Max: 3484655Min: 3389939.25 / Avg: 3490511 / Max: 35470071. (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 TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645SE +/- 0.29, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 335.8238.0637.6736.3436.46
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240Min: 35.43 / Avg: 35.82 / Max: 36.38Min: 37.81 / Avg: 38.06 / Max: 38.51Min: 37.39 / Avg: 37.67 / Max: 38.13Min: 36.25 / Avg: 36.34 / Max: 36.46Min: 36.08 / Avg: 36.46 / Max: 36.8

Timed HMMer Search

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.08, N = 3SE +/- 0.47, N = 3SE +/- 0.26, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 399.2793.4593.5094.3994.531. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 99.12 / Avg: 99.27 / Max: 99.4Min: 92.52 / Avg: 93.45 / Max: 93.95Min: 93.06 / Avg: 93.5 / Max: 93.97Min: 94.21 / Avg: 94.39 / Max: 94.6Min: 94.26 / Avg: 94.53 / Max: 94.861. (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 TransformRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X110220330440550SE +/- 4.98, N = 3SE +/- 2.87, N = 3SE +/- 1.24, N = 3SE +/- 0.79, N = 3SE +/- 1.02, N = 3513.46491.01494.65520.05512.511. (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 TransformRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X90180270360450Min: 504.43 / Avg: 513.46 / Max: 521.63Min: 485.44 / Avg: 491.01 / Max: 495Min: 492.25 / Avg: 494.65 / Max: 496.41Min: 518.72 / Avg: 520.05 / Max: 521.46Min: 510.51 / Avg: 512.51 / Max: 513.841. (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-256Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X16003200480064008000SE +/- 64.47, N = 3SE +/- 9.30, N = 3SE +/- 3.98, N = 3SE +/- 5.43, N = 3SE +/- 7.17, N = 37492.937077.927087.527476.307327.731. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X13002600390052006500Min: 7364.62 / Avg: 7492.93 / Max: 7568.01Min: 7063.35 / Avg: 7077.92 / Max: 7095.21Min: 7080.41 / Avg: 7087.52 / Max: 7094.18Min: 7466.69 / Avg: 7476.3 / Max: 7485.5Min: 7316.44 / Avg: 7327.73 / Max: 7341.031. (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 TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.48, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 328.5329.0229.4127.8228.201. (CC) gcc options: -lm -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 27.57 / Avg: 28.53 / Max: 29.04Min: 28.95 / Avg: 29.02 / Max: 29.15Min: 29.36 / Avg: 29.41 / Max: 29.48Min: 27.82 / Avg: 27.82 / Max: 27.83Min: 27.98 / Avg: 28.2 / Max: 28.531. (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: vgg16Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 314.0013.2713.2813.2613.26MIN: 13.56 / MAX: 22.93MIN: 13.16 / MAX: 13.59MIN: 13.18 / MAX: 13.6MIN: 13.17 / MAX: 13.58MIN: 13.15 / MAX: 13.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 13.85 / Avg: 14 / Max: 14.26Min: 13.26 / Avg: 13.27 / Max: 13.29Min: 13.27 / Avg: 13.28 / Max: 13.3Min: 13.26 / Avg: 13.26 / Max: 13.27Min: 13.26 / Avg: 13.26 / Max: 13.271. (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-levelsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.005, N = 3SE +/- 0.020, N = 3SE +/- 0.031, N = 3SE +/- 0.048, N = 3SE +/- 0.015, N = 39.8109.5219.4979.3169.302
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 9.8 / Avg: 9.81 / Max: 9.82Min: 9.5 / Avg: 9.52 / Max: 9.56Min: 9.46 / Avg: 9.5 / Max: 9.56Min: 9.23 / Avg: 9.32 / Max: 9.39Min: 9.27 / Avg: 9.3 / Max: 9.32

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 ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X400800120016002000SE +/- 15.55, N = 3SE +/- 16.52, N = 12SE +/- 19.55, N = 6SE +/- 20.97, N = 5SE +/- 17.86, N = 121588.571614.161605.931673.831657.071. chrome 86.0.4240.183
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30060090012001500Min: 1557.55 / Avg: 1588.57 / Max: 1605.97Min: 1500.22 / Avg: 1614.16 / Max: 1679.17Min: 1508.43 / Avg: 1605.93 / Max: 1629.89Min: 1592.86 / Avg: 1673.83 / Max: 1714.13Min: 1522.4 / Avg: 1657.07 / Max: 1728.091. 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: CompositeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X400800120016002000SE +/- 18.29, N = 3SE +/- 1.59, N = 3SE +/- 1.25, N = 3SE +/- 1.66, N = 3SE +/- 1.62, N = 31913.981840.151868.131938.721911.931. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: CompositeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30060090012001500Min: 1878.65 / Avg: 1913.98 / Max: 1939.87Min: 1837.2 / Avg: 1840.15 / Max: 1842.67Min: 1865.81 / Avg: 1868.13 / Max: 1870.11Min: 1935.44 / Avg: 1938.72 / Max: 1940.84Min: 1908.73 / Avg: 1911.93 / Max: 1914.021. (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 4096Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X15K30K45K60K75KSE +/- 511.30, N = 3SE +/- 462.02, N = 3SE +/- 421.99, N = 3SE +/- 548.06, N = 3SE +/- 727.70, N = 370231682576931471317677511. (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 4096Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X12K24K36K48K60KMin: 69658 / Avg: 70231 / Max: 71251Min: 67333 / Avg: 68257 / Max: 68726Min: 68558 / Avg: 69313.67 / Max: 70017Min: 70222 / Avg: 71316.67 / Max: 71913Min: 66361 / Avg: 67750.67 / Max: 688201. (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 OggRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.0012.0023.0034.0045.005SE +/- 0.039, N = 3SE +/- 0.016, N = 3SE +/- 0.023, N = 3SE +/- 0.021, N = 3SE +/- 0.025, N = 34.2444.3864.4494.2304.3051. (CC) gcc options: -O2 -ffast-math -fsigned-char -lvorbis -logg
OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Encoding 1.3.3WAV To OggRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.17 / Avg: 4.24 / Max: 4.29Min: 4.37 / Avg: 4.39 / Max: 4.42Min: 4.42 / Avg: 4.45 / Max: 4.49Min: 4.19 / Avg: 4.23 / Max: 4.26Min: 4.26 / Avg: 4.3 / Max: 4.351. (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: TwofishRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X100200300400500SE +/- 2.59, N = 3SE +/- 1.03, N = 3SE +/- 0.90, N = 3SE +/- 0.02, N = 3SE +/- 0.83, N = 3466.08444.01451.41466.88455.211. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X80160240320400Min: 462.16 / Avg: 466.08 / Max: 470.98Min: 441.98 / Avg: 444.01 / Max: 445.33Min: 449.64 / Avg: 451.41 / Max: 452.56Min: 466.84 / Avg: 466.88 / Max: 466.91Min: 453.55 / Avg: 455.21 / Max: 456.131. (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_loadsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 317.518.017.818.417.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 17.4 / Avg: 17.47 / Max: 17.5Min: 17.9 / Avg: 17.97 / Max: 18Min: 17.8 / Avg: 17.8 / Max: 17.8Min: 18.4 / Avg: 18.4 / Max: 18.4Min: 17.7 / Avg: 17.77 / Max: 17.8

TSCP

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

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X400K800K1200K1600K2000KSE +/- 16509.45, N = 5SE +/- 10551.38, N = 5SE +/- 7407.01, N = 5SE +/- 2771.65, N = 5SE +/- 2485.91, N = 5193447618609751860855195590319137651. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X300K600K900K1200K1500KMin: 1886226 / Avg: 1934476.2 / Max: 1974114Min: 1835926 / Avg: 1860974.8 / Max: 1886226Min: 1835926 / Avg: 1860854.6 / Max: 1879788Min: 1946212 / Avg: 1955903.4 / Max: 1960064Min: 1905806 / Avg: 1913765.2 / Max: 19190871. (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: KASUMIRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150SE +/- 0.61, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3111.83106.43106.66111.77109.511. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 111.19 / Avg: 111.83 / Max: 113.05Min: 106.18 / Avg: 106.43 / Max: 106.72Min: 106.49 / Avg: 106.66 / Max: 106.8Min: 111.74 / Avg: 111.77 / Max: 111.8Min: 109.45 / Avg: 109.51 / Max: 109.561. (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 1,000Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1020304050SE +/- 0.60, N = 3SE +/- 0.08, N = 3SE +/- 0.50, N = 7SE +/- 0.16, N = 3SE +/- 0.07, N = 342.6843.4643.9241.8142.391. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645Min: 41.72 / Avg: 42.68 / Max: 43.79Min: 43.31 / Avg: 43.46 / Max: 43.56Min: 43.24 / Avg: 43.92 / Max: 46.89Min: 41.55 / Avg: 41.81 / Max: 42.11Min: 42.24 / Avg: 42.39 / Max: 42.481. (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 32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X5K10K15K20K25KSE +/- 44.77, N = 3SE +/- 332.32, N = 3SE +/- 232.83, N = 3SE +/- 107.82, N = 3SE +/- 231.42, N = 321954209022132321913215741. (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 32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4K8K12K16K20KMin: 21865 / Avg: 21954 / Max: 22007Min: 20239 / Avg: 20902 / Max: 21274Min: 20863 / Avg: 21322.67 / Max: 21617Min: 21721 / Avg: 21913 / Max: 22094Min: 21119 / Avg: 21574 / Max: 218751. (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-tinyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.706.396.386.436.43MIN: 6.59 / MAX: 11.8MIN: 6.35 / MAX: 7.26MIN: 6.35 / MAX: 6.56MIN: 6.38 / MAX: 6.65MIN: 6.39 / MAX: 6.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 6.68 / Avg: 6.7 / Max: 6.71Min: 6.38 / Avg: 6.39 / Max: 6.39Min: 6.38 / Avg: 6.38 / Max: 6.39Min: 6.42 / Avg: 6.43 / Max: 6.46Min: 6.41 / Avg: 6.43 / Max: 6.441. (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 FactorizationRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X10002000300040005000SE +/- 37.55, N = 3SE +/- 4.72, N = 3SE +/- 8.73, N = 3SE +/- 0.16, N = 3SE +/- 4.92, N = 34381.094234.704314.204446.074375.361. (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 FactorizationRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X8001600240032004000Min: 4308.15 / Avg: 4381.09 / Max: 4433.05Min: 4225.63 / Avg: 4234.7 / Max: 4241.51Min: 4296.97 / Avg: 4314.2 / Max: 4325.28Min: 4445.75 / Avg: 4446.07 / Max: 4446.29Min: 4365.99 / Avg: 4375.36 / Max: 4382.661. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Monte CarloRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X130260390520650SE +/- 6.22, N = 3SE +/- 2.90, N = 3SE +/- 1.34, N = 3SE +/- 0.46, N = 3SE +/- 0.22, N = 3581.00565.66570.48593.88578.591. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Monte CarloRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X100200300400500Min: 568.94 / Avg: 581 / Max: 589.67Min: 559.95 / Avg: 565.66 / Max: 569.42Min: 567.92 / Avg: 570.48 / Max: 572.46Min: 592.97 / Avg: 593.88 / Max: 594.48Min: 578.2 / Avg: 578.59 / Max: 578.971. (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 MP3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.062, N = 3SE +/- 0.019, N = 3SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.007, N = 35.8156.0086.0625.7745.8331. (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 MP3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.7 / Avg: 5.82 / Max: 5.92Min: 5.98 / Avg: 6.01 / Max: 6.05Min: 6.05 / Avg: 6.06 / Max: 6.07Min: 5.76 / Avg: 5.77 / Max: 5.79Min: 5.82 / Avg: 5.83 / Max: 5.841. (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: DefaultRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.25940.51880.77821.03761.297SE +/- 0.010, N = 3SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 3SE +/- 0.002, N = 31.1181.1361.1531.1071.1001. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.11 / Avg: 1.12 / Max: 1.14Min: 1.13 / Avg: 1.14 / Max: 1.14Min: 1.15 / Avg: 1.15 / Max: 1.17Min: 1.1 / Avg: 1.11 / Max: 1.12Min: 1.1 / Avg: 1.1 / Max: 1.11. (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 ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 1.38, N = 3SE +/- 12.11, N = 4SE +/- 3.63, N = 3SE +/- 8.94, N = 3SE +/- 12.46, N = 4865.47836.96825.78865.18854.181. chrome 86.0.4240.183
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X150300450600750Min: 863.78 / Avg: 865.47 / Max: 868.2Min: 818.61 / Avg: 836.96 / Max: 872Min: 820.92 / Avg: 825.78 / Max: 832.89Min: 847.67 / Avg: 865.18 / Max: 877.11Min: 824.42 / Avg: 854.18 / Max: 885.191. 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 TimesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X160320480640800SE +/- 5.04, N = 3SE +/- 8.02, N = 3SE +/- 3.84, N = 3SE +/- 2.73, N = 3SE +/- 1.33, N = 3718752738747743
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X130260390520650Min: 711 / Avg: 718.33 / Max: 728Min: 743 / Avg: 752 / Max: 768Min: 734 / Avg: 738.33 / Max: 746Min: 742 / Avg: 747.33 / Max: 751Min: 740 / Avg: 742.67 / Max: 744

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 313.2513.4013.5313.0012.921. (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, LosslessRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 13.22 / Avg: 13.25 / Max: 13.27Min: 13.25 / Avg: 13.4 / Max: 13.47Min: 13.48 / Avg: 13.52 / Max: 13.61Min: 12.79 / Avg: 13 / Max: 13.12Min: 12.91 / Avg: 12.92 / Max: 12.931. (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_qdaRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1428425670SE +/- 0.12, N = 3SE +/- 0.26, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 360.2963.0162.5060.5760.25
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860Min: 60.1 / Avg: 60.29 / Max: 60.52Min: 62.48 / Avg: 63.01 / Max: 63.32Min: 62.45 / Avg: 62.5 / Max: 62.53Min: 60.27 / Avg: 60.57 / Max: 60.82Min: 60.23 / Avg: 60.25 / Max: 60.28

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 1.5.16AverageRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X200M400M600M800M1000MSE +/- 640239.54, N = 3SE +/- 6434346.56, N = 3SE +/- 1904320.29, N = 3SE +/- 4238517.57, N = 3SE +/- 5385783.46, N = 3109290108910617486461054605574110032486911023363331. (CC) gcc options: -lm -lpthread -lcurses -lrt
OpenBenchmarking.orgOperations Per Second, More Is BetterSwet 1.5.16AverageRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X200M400M600M800M1000MMin: 1092007264 / Avg: 1092901088.67 / Max: 1094142059Min: 1053421819 / Avg: 1061748646 / Max: 1074409142Min: 1052020551 / Avg: 1054605574 / Max: 1058320388Min: 1093953701 / Avg: 1100324869.33 / Max: 1108353103Min: 1092309172 / Avg: 1102336333.33 / Max: 11107575551. (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 BlurRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1020304050SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 346.1544.8944.8644.1644.17
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645Min: 45.94 / Avg: 46.15 / Max: 46.32Min: 44.86 / Avg: 44.89 / Max: 44.93Min: 44.81 / Avg: 44.86 / Max: 44.97Min: 44.08 / Avg: 44.16 / Max: 44.23Min: 43.94 / Avg: 44.17 / Max: 44.39

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 MultiplyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X400800120016002000SE +/- 16.66, N = 3SE +/- 1.52, N = 3SE +/- 5.96, N = 3SE +/- 9.50, N = 3SE +/- 1.89, N = 31664.781619.151633.551691.391660.041. (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 MultiplyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X30060090012001500Min: 1632.5 / Avg: 1664.78 / Max: 1688.04Min: 1616.77 / Avg: 1619.15 / Max: 1621.97Min: 1624.25 / Avg: 1633.55 / Max: 1644.66Min: 1672.63 / Avg: 1691.39 / Max: 1703.35Min: 1657.79 / Avg: 1660.04 / Max: 1663.791. (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-b0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 310.109.679.709.709.67MIN: 8.7 / MAX: 19.59MIN: 9.16 / MAX: 13.66MIN: 9.2 / MAX: 13.92MIN: 9.19 / MAX: 13.42MIN: 8.63 / MAX: 13.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 10 / Avg: 10.1 / Max: 10.27Min: 9.62 / Avg: 9.67 / Max: 9.72Min: 9.65 / Avg: 9.7 / Max: 9.77Min: 9.68 / Avg: 9.7 / Max: 9.71Min: 9.62 / Avg: 9.67 / Max: 9.741. (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 TimesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 315.6615.9816.3415.8915.801. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 15.35 / Avg: 15.66 / Max: 16.15Min: 15.95 / Avg: 15.98 / Max: 16.03Min: 16.26 / Avg: 16.34 / Max: 16.38Min: 15.75 / Avg: 15.89 / Max: 16.05Min: 15.62 / Avg: 15.8 / Max: 15.981. 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 5600XRyzen 7 5800XAMD Ryzen 7 5800X500K1000K1500K2000K2500KSE +/- 9980.90, N = 3SE +/- 22045.06, N = 3SE +/- 16028.35, N = 32219356.172252973.302315362.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X400K800K1200K1600K2000KMin: 2202784.25 / Avg: 2219356.17 / Max: 2237279.75Min: 2217791.5 / Avg: 2252973.33 / Max: 2293578Min: 2283908.75 / Avg: 2315362.5 / Max: 2336448.51. (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 GlassRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 322.5621.8921.9121.6321.68
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 22.47 / Avg: 22.56 / Max: 22.65Min: 21.83 / Avg: 21.89 / Max: 21.97Min: 21.9 / Avg: 21.91 / Max: 21.92Min: 21.61 / Avg: 21.63 / Max: 21.65Min: 21.65 / Avg: 21.68 / Max: 21.74

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 315.2414.9115.1614.6214.731. chrome 86.0.4240.183
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 15.11 / Avg: 15.24 / Max: 15.43Min: 14.78 / Avg: 14.91 / Max: 14.99Min: 15.02 / Avg: 15.16 / Max: 15.33Min: 14.58 / Avg: 14.62 / Max: 14.64Min: 14.62 / Avg: 14.73 / Max: 14.791. 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 2020-06-28Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.22, N = 4SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 315.5616.1116.2115.6815.711. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 15.2 / Avg: 15.56 / Max: 16.17Min: 15.97 / Avg: 16.11 / Max: 16.22Min: 16.06 / Avg: 16.21 / Max: 16.32Min: 15.49 / Avg: 15.68 / Max: 16.04Min: 15.55 / Avg: 15.71 / Max: 15.941. (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 v1.1Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250SE +/- 1.56, N = 3SE +/- 0.31, N = 3SE +/- 0.34, N = 3SE +/- 0.03, N = 3SE +/- 1.40, N = 3211.76219.14218.48210.36212.07MIN: 208.97 / MAX: 214.69MIN: 218.14 / MAX: 220.02MIN: 217.14 / MAX: 219.38MIN: 210.07 / MAX: 211.29MIN: 209.14 / MAX: 214.031. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 209.16 / Avg: 211.76 / Max: 214.55Min: 218.52 / Avg: 219.14 / Max: 219.52Min: 217.83 / Avg: 218.48 / Max: 218.95Min: 210.31 / Avg: 210.36 / Max: 210.4Min: 209.33 / Avg: 212.06 / Max: 213.921. (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 4096Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2K4K6K8K10KSE +/- 57.39, N = 3SE +/- 78.39, N = 3SE +/- 40.76, N = 3SE +/- 38.52, N = 3SE +/- 23.18, N = 311529111481126111611114721. (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 4096Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2K4K6K8K10KMin: 11443 / Avg: 11529.33 / Max: 11638Min: 11036 / Avg: 11148 / Max: 11299Min: 11199 / Avg: 11261.33 / Max: 11338Min: 11548 / Avg: 11611.33 / Max: 11681Min: 11428 / Avg: 11471.67 / Max: 115071. (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: chaosRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.09, N = 3SE +/- 0.33, N = 3SE +/- 0.35, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 382.484.885.783.384.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1632486480Min: 82.3 / Avg: 82.43 / Max: 82.6Min: 84.3 / Avg: 84.77 / Max: 85.4Min: 85.1 / Avg: 85.73 / Max: 86.3Min: 83.2 / Avg: 83.27 / Max: 83.4Min: 83.8 / Avg: 83.97 / Max: 84.2

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X110220330440550SE +/- 1.38, N = 3SE +/- 0.51, N = 3SE +/- 0.63, N = 3SE +/- 1.29, N = 3SE +/- 0.68, N = 3507.20497.84503.07517.61513.38
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X90180270360450Min: 505.17 / Avg: 507.2 / Max: 509.83Min: 496.87 / Avg: 497.84 / Max: 498.59Min: 502.34 / Avg: 503.07 / Max: 504.32Min: 515.1 / Avg: 517.61 / Max: 519.4Min: 512.03 / Avg: 513.38 / Max: 514.24

Botan

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

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X120240360480600SE +/- 4.26, N = 3SE +/- 1.17, N = 3SE +/- 0.43, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3563.28543.07543.24564.24551.531. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X100200300400500Min: 557.63 / Avg: 563.28 / Max: 571.64Min: 541.32 / Avg: 543.07 / Max: 545.28Min: 542.5 / Avg: 543.24 / Max: 543.99Min: 564.15 / Avg: 564.24 / Max: 564.31Min: 551.27 / Avg: 551.52 / Max: 551.861. (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 ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X70140210280350SE +/- 1.86, N = 3SE +/- 4.70, N = 3SE +/- 3.00, N = 3SE +/- 1.53, N = 3SE +/- 1.00, N = 33243123133163191. chrome 86.0.4240.183
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300Min: 322 / Avg: 324.33 / Max: 328Min: 306 / Avg: 311.67 / Max: 321Min: 310 / Avg: 313 / Max: 319Min: 314 / Avg: 316 / Max: 319Min: 318 / Avg: 319 / Max: 3211. 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: squeezenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.0982.1963.2944.3925.49SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.884.704.724.714.74MIN: 4.79 / MAX: 9.12MIN: 4.69 / MAX: 4.87MIN: 4.69 / MAX: 12.69MIN: 4.69 / MAX: 4.9MIN: 4.69 / MAX: 8.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.85 / Avg: 4.88 / Max: 4.93Min: 4.7 / Avg: 4.7 / Max: 4.71Min: 4.71 / Avg: 4.72 / Max: 4.74Min: 4.71 / Avg: 4.71 / Max: 4.71Min: 4.71 / Avg: 4.74 / Max: 4.761. (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: SerialRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X100200300400500443.50446.85444.14430.37430.85

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.16332.32663.48994.65325.8165SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.175.004.985.145.131. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.16 / Avg: 5.17 / Max: 5.19Min: 4.96 / Avg: 5 / Max: 5.05Min: 4.98 / Avg: 4.98 / Max: 4.99Min: 5.13 / Avg: 5.14 / Max: 5.16Min: 5.12 / Avg: 5.13 / Max: 5.141. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.74031.48062.22092.96123.7015SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.293.173.173.283.251. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 3.27 / Avg: 3.29 / Max: 3.3Min: 3.16 / Avg: 3.17 / Max: 3.18Min: 3.15 / Avg: 3.17 / Max: 3.18Min: 3.26 / Avg: 3.28 / Max: 3.29Min: 3.24 / Avg: 3.25 / Max: 3.261. (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 4096Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X16003200480064008000SE +/- 61.16, N = 3SE +/- 3.96, N = 3SE +/- 51.17, N = 3SE +/- 18.30, N = 3SE +/- 77.74, N = 37533.77351.37505.37629.07568.61. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 4096Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X13002600390052006500Min: 7437.6 / Avg: 7533.73 / Max: 7647.3Min: 7345.5 / Avg: 7351.33 / Max: 7358.9Min: 7450.9 / Avg: 7505.33 / Max: 7607.6Min: 7597.4 / Avg: 7629.03 / Max: 7660.8Min: 7415.7 / Avg: 7568.63 / Max: 7669.41. (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: rotateRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.065, N = 3SE +/- 0.014, N = 3SE +/- 0.033, N = 3SE +/- 0.022, N = 3SE +/- 0.028, N = 39.2039.1189.1288.8778.892
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 9.1 / Avg: 9.2 / Max: 9.32Min: 9.1 / Avg: 9.12 / Max: 9.15Min: 9.1 / Avg: 9.13 / Max: 9.19Min: 8.83 / Avg: 8.88 / Max: 8.91Min: 8.85 / Avg: 8.89 / Max: 8.94

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.21, N = 313.0612.8512.9013.3213.08MIN: 12.95 / MAX: 13.28MIN: 12.72 / MAX: 13.05MIN: 12.74 / MAX: 21.89MIN: 12.78 / MAX: 22.69MIN: 12.77 / MAX: 14.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 13.02 / Avg: 13.06 / Max: 13.09Min: 12.8 / Avg: 12.85 / Max: 12.89Min: 12.82 / Avg: 12.9 / Max: 12.99Min: 12.85 / Avg: 13.32 / Max: 13.61Min: 12.84 / Avg: 13.08 / Max: 13.511. (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 ConversionRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240SE +/- 0.49, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 335.5036.1836.5735.2935.421. (CC) gcc options: -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image ConversionRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240Min: 34.71 / Avg: 35.5 / Max: 36.4Min: 35.92 / Avg: 36.18 / Max: 36.56Min: 36.35 / Avg: 36.57 / Max: 36.87Min: 35.1 / Avg: 35.29 / Max: 35.67Min: 35.27 / Avg: 35.42 / Max: 35.631. (CC) gcc options: -lm

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 39.399.739.719.649.651. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 9.38 / Avg: 9.39 / Max: 9.41Min: 9.71 / Avg: 9.73 / Max: 9.74Min: 9.66 / Avg: 9.71 / Max: 9.79Min: 9.61 / Avg: 9.64 / Max: 9.67Min: 9.63 / Avg: 9.65 / Max: 9.671. (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 TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2M4M6M8M10MSE +/- 163808.43, N = 3SE +/- 39564.13, N = 3SE +/- 20694.84, N = 3SE +/- 23792.46, N = 3SE +/- 15860.46, N = 311262069111972131101532011413403114040471. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2M4M6M8M10MMin: 11000048 / Avg: 11262069.33 / Max: 11563398Min: 11118686 / Avg: 11197212.67 / Max: 11244910Min: 10973992 / Avg: 11015319.67 / Max: 11037945Min: 11365901 / Avg: 11413402.67 / Max: 11439590Min: 11383215 / Avg: 11404047.33 / Max: 114351801. (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 2.0.2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300SE +/- 0.70, N = 3SE +/- 0.56, N = 3SE +/- 0.93, N = 3SE +/- 0.71, N = 3SE +/- 0.50, N = 3263.64256.59255.49264.71264.561. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250Min: 262.27 / Avg: 263.64 / Max: 264.6Min: 255.51 / Avg: 256.59 / Max: 257.4Min: 254.04 / Avg: 255.49 / Max: 257.23Min: 263.32 / Avg: 264.71 / Max: 265.69Min: 263.56 / Avg: 264.56 / Max: 265.141. (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 CompressionRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.26452.5293.79355.0586.3225SE +/- 0.011, N = 3SE +/- 0.016, N = 3SE +/- 0.017, N = 3SE +/- 0.007, N = 3SE +/- 0.014, N = 35.6115.6205.5715.5175.4281. (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 CompressionRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.59 / Avg: 5.61 / Max: 5.63Min: 5.6 / Avg: 5.62 / Max: 5.65Min: 5.54 / Avg: 5.57 / Max: 5.6Min: 5.51 / Avg: 5.52 / Max: 5.53Min: 5.41 / Avg: 5.43 / Max: 5.461. (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 5600XRyzen 7 5800XAMD Ryzen 7 5800X600K1200K1800K2400K3000KSE +/- 43675.82, N = 3SE +/- 23393.80, N = 3SE +/- 19621.86, N = 32661315.252755332.172742897.581. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X500K1000K1500K2000K2500KMin: 2610966.25 / Avg: 2661315.25 / Max: 2748307.75Min: 2724795.5 / Avg: 2755332.17 / Max: 2801299.75Min: 2703654 / Avg: 2742897.58 / Max: 2762607.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X700K1400K2100K2800K3500KSE +/- 44267.29, N = 12SE +/- 11024.61, N = 3SE +/- 22603.88, N = 33000656.903106298.503074202.831. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X500K1000K1500K2000K2500KMin: 2519375.25 / Avg: 3000656.9 / Max: 3068662.5Min: 3087111 / Avg: 3106298.5 / Max: 3125300Min: 3030400 / Avg: 3074202.83 / Max: 3105788.751. (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: mnasnetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.6121.2241.8362.4483.06SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.722.692.712.632.66MIN: 2.53 / MAX: 4.14MIN: 2.5 / MAX: 4.1MIN: 2.49 / MAX: 3.96MIN: 2.49 / MAX: 3.96MIN: 2.49 / MAX: 3.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.66 / Avg: 2.72 / Max: 2.75Min: 2.66 / Avg: 2.69 / Max: 2.71Min: 2.68 / Avg: 2.71 / Max: 2.74Min: 2.62 / Avg: 2.63 / Max: 2.65Min: 2.62 / Avg: 2.66 / Max: 2.71. (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 2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X12M24M36M48M60MSE +/- 419132.37, N = 3SE +/- 30315.09, N = 3SE +/- 121332.16, N = 3SE +/- 29185.92, N = 3SE +/- 115616.65, N = 354164885.054591384.154024585.755228772.655847496.4
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X10M20M30M40M50MMin: 53336815 / Avg: 54164884.97 / Max: 54691795.7Min: 54558446.3 / Avg: 54591384.07 / Max: 54651936.3Min: 53864870.1 / Avg: 54024585.73 / Max: 54262660.7Min: 55171089.2 / Avg: 55228772.6 / Max: 55265355.3Min: 55699196.6 / Avg: 55847496.37 / Max: 56075292

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.020, N = 3SE +/- 0.058, N = 3SE +/- 0.046, N = 3SE +/- 0.059, N = 3SE +/- 0.055, N = 36.6346.4366.4266.4376.424
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 6.61 / Avg: 6.63 / Max: 6.67Min: 6.33 / Avg: 6.44 / Max: 6.53Min: 6.34 / Avg: 6.43 / Max: 6.5Min: 6.33 / Avg: 6.44 / Max: 6.53Min: 6.32 / Avg: 6.42 / Max: 6.48

FFTW

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

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3K6K9K12K15KSE +/- 47.22, N = 3SE +/- 33.79, N = 3SE +/- 24.77, N = 3SE +/- 55.14, N = 3SE +/- 76.49, N = 313125127791271113062130641. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 32Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2K4K6K8K10KMin: 13068 / Avg: 13125.33 / Max: 13219Min: 12721 / Avg: 12778.67 / Max: 12838Min: 12662 / Avg: 12711.33 / Max: 12740Min: 12967 / Avg: 13062 / Max: 13158Min: 12914 / Avg: 13064 / Max: 131651. (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: CartoonRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1632486480SE +/- 0.25, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.34, N = 3SE +/- 0.15, N = 371.3470.0170.0169.2369.09
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1428425670Min: 70.9 / Avg: 71.34 / Max: 71.75Min: 69.94 / Avg: 70.01 / Max: 70.08Min: 69.97 / Avg: 70.01 / Max: 70.09Min: 68.6 / Avg: 69.23 / Max: 69.79Min: 68.82 / Avg: 69.09 / Max: 69.35

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 330.5231.2331.2530.4130.27
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835Min: 30.34 / Avg: 30.52 / Max: 30.66Min: 31.22 / Avg: 31.23 / Max: 31.25Min: 31.13 / Avg: 31.25 / Max: 31.36Min: 30.36 / Avg: 30.41 / Max: 30.46Min: 30.19 / Avg: 30.27 / Max: 30.41

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150SE +/- 0.33, N = 3124126128126126
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 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 100Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.40460.80921.21381.61842.023SE +/- 0.014, N = 3SE +/- 0.001, N = 3SE +/- 0.010, N = 3SE +/- 0.001, N = 3SE +/- 0.014, N = 31.7601.7901.7981.7591.7421. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.74 / Avg: 1.76 / Max: 1.79Min: 1.79 / Avg: 1.79 / Max: 1.79Min: 1.79 / Avg: 1.8 / Max: 1.82Min: 1.76 / Avg: 1.76 / Max: 1.76Min: 1.73 / Avg: 1.74 / Max: 1.771. (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: alexnetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.15882.31763.47644.63525.794SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.154.994.995.005.00MIN: 5.08 / MAX: 5.3MIN: 4.94 / MAX: 5.21MIN: 4.93 / MAX: 5.2MIN: 4.94 / MAX: 5.18MIN: 4.93 / MAX: 5.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.15 / Avg: 5.15 / Max: 5.16Min: 4.99 / Avg: 4.99 / Max: 5Min: 4.99 / Avg: 4.99 / Max: 51. (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_pyaesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.29, N = 378.379.779.079.680.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1530456075Min: 78.2 / Avg: 78.3 / Max: 78.4Min: 79.6 / Avg: 79.73 / Max: 79.9Min: 78.8 / Avg: 79.03 / Max: 79.3Min: 79.3 / Avg: 79.63 / Max: 79.9Min: 80.3 / Avg: 80.77 / Max: 81.3

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: mobilenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.10252.2053.30754.415.5125SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.904.754.754.754.77MIN: 4.84 / MAX: 5.15MIN: 4.72 / MAX: 10.23MIN: 4.72 / MAX: 4.88MIN: 4.73 / MAX: 4.93MIN: 4.75 / MAX: 4.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.87 / Avg: 4.9 / Max: 4.92Min: 4.73 / Avg: 4.75 / Max: 4.78Min: 4.74 / Avg: 4.75 / Max: 4.75Min: 4.75 / Avg: 4.75 / Max: 4.76Min: 4.77 / Avg: 4.77 / Max: 4.781. (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: raytraceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X80160240320400SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3349358360352352
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300Min: 348 / Avg: 349.33 / Max: 351Min: 357 / Avg: 358 / Max: 359Min: 351 / Avg: 352 / Max: 353Min: 351 / Avg: 352.33 / Max: 353

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 312.913.213.113.012.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 12.8 / Avg: 12.87 / Max: 12.9Min: 13.1 / Avg: 13.17 / Max: 13.2Min: 13 / Avg: 13.1 / Max: 13.2Min: 12.9 / Avg: 12.97 / Max: 13Min: 12.8 / Avg: 12.83 / 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 ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X15K30K45K60K75KSE +/- 188.50, N = 3SE +/- 83.32, N = 3SE +/- 162.80, N = 3SE +/- 380.53, N = 3SE +/- 548.24, N = 369991703687050772165716111. chrome 86.0.4240.183
OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X13K26K39K52K65KMin: 69614 / Avg: 69991 / Max: 70180Min: 70216 / Avg: 70368.33 / Max: 70503Min: 70216 / Avg: 70507 / Max: 70779Min: 71578 / Avg: 72165 / Max: 72878Min: 70538 / Avg: 71611 / Max: 723431. 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 ParallelRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150140.89136.66137.56138.19137.95

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.26, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3SE +/- 0.28, N = 3SE +/- 0.14, N = 325.0325.1225.5024.7624.911. chrome 86.0.4240.183
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 24.67 / Avg: 25.03 / Max: 25.52Min: 24.74 / Avg: 25.12 / Max: 25.44Min: 25.1 / Avg: 25.5 / Max: 25.82Min: 24.21 / Avg: 24.76 / Max: 25.09Min: 24.62 / Avg: 24.91 / Max: 25.051. 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: vgg16Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1428425670SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 360.1761.4461.9661.5461.34MIN: 59.53 / MAX: 64.23MIN: 60.68 / MAX: 62.74MIN: 61.16 / MAX: 63.15MIN: 60.71 / MAX: 62.45MIN: 60.89 / MAX: 63.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860Min: 60.12 / Avg: 60.17 / Max: 60.21Min: 61.37 / Avg: 61.44 / Max: 61.48Min: 61.75 / Avg: 61.96 / Max: 62.17Min: 61.19 / Avg: 61.54 / Max: 61.94Min: 61.33 / Avg: 61.34 / Max: 61.351. (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: vklBenchmarkUnstructuredVolumeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X500K1000K1500K2000K2500KSE +/- 22511.88, N = 3SE +/- 2378.31, N = 3SE +/- 492.10, N = 3SE +/- 2159.15, N = 3SE +/- 1996.99, N = 32335977.212402654.482405173.752385407.422388782.56MIN: 31301 / MAX: 8466024MIN: 32546 / MAX: 8555916MIN: 31789 / MAX: 8585608MIN: 32703 / MAX: 8478456MIN: 32411 / MAX: 8469962
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X400K800K1200K1600K2000KMin: 2309287.36 / Avg: 2335977.21 / Max: 2380724.26Min: 2398754.77 / Avg: 2402654.48 / Max: 2406962.98Min: 2404583.3 / Avg: 2405173.75 / Max: 2406150.9Min: 2383219.16 / Avg: 2385407.42 / Max: 2389725.59Min: 2385917.94 / Avg: 2388782.56 / Max: 2392625.15

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 324.9724.5724.3925.0525.111. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 24.85 / Avg: 24.97 / Max: 25.19Min: 24.54 / Avg: 24.57 / Max: 24.63Min: 24.21 / Avg: 24.39 / Max: 24.56Min: 24.91 / Avg: 25.05 / Max: 25.26Min: 24.97 / Avg: 25.11 / Max: 25.271. (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: floatRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 382.484.884.582.983.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1632486480Min: 82.2 / Avg: 82.43 / Max: 82.6Min: 84.3 / Avg: 84.8 / Max: 85.1Min: 84.4 / Avg: 84.5 / Max: 84.6Min: 82.9 / Avg: 82.9 / Max: 82.9Min: 83.1 / Avg: 83.3 / Max: 83.5

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-v2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.49950.9991.49851.9982.4975SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 32.222.162.192.162.18MIN: 2.09 / MAX: 6.81MIN: 2.06 / MAX: 3.11MIN: 2.06 / MAX: 3.01MIN: 2.06 / MAX: 3MIN: 2.07 / MAX: 2.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.21 / Avg: 2.22 / Max: 2.24Min: 2.16 / Avg: 2.16 / Max: 2.17Min: 2.18 / Avg: 2.19 / Max: 2.2Min: 2.16 / Avg: 2.16 / Max: 2.17Min: 2.16 / Avg: 2.18 / Max: 2.221. (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: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250SE +/- 0.39, N = 3SE +/- 0.47, N = 3SE +/- 0.50, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3240.97239.88240.23246.27245.301. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 240.47 / Avg: 240.97 / Max: 241.75Min: 239.22 / Avg: 239.88 / Max: 240.78Min: 239.52 / Avg: 240.23 / Max: 241.19Min: 246.01 / Avg: 246.27 / Max: 246.48Min: 245.17 / Avg: 245.3 / Max: 245.451. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 327.7427.8828.0927.3727.361. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 27.48 / Avg: 27.74 / Max: 27.89Min: 27.84 / Avg: 27.88 / Max: 27.91Min: 28.03 / Avg: 28.09 / Max: 28.15Min: 27.33 / Avg: 27.37 / Max: 27.4Min: 27.32 / Avg: 27.36 / Max: 27.431. (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: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X9K18K27K36K45KSE +/- 140.41, N = 3SE +/- 92.11, N = 3SE +/- 51.29, N = 3SE +/- 97.52, N = 3SE +/- 145.80, N = 339847397863999540830406351. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X7K14K21K28K35KMin: 39682 / Avg: 39846.67 / Max: 40126Min: 39624 / Avg: 39785.67 / Max: 39943Min: 39895 / Avg: 39995.33 / Max: 40064Min: 40684 / Avg: 40830 / Max: 41015Min: 40432 / Avg: 40635.33 / Max: 409181. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. AMD Ryzen 7 5800X: firefox 82.0.3

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300SE +/- 0.60, N = 3SE +/- 1.64, N = 3SE +/- 2.14, N = 3SE +/- 1.52, N = 3SE +/- 0.84, N = 3262.14264.49263.77257.76259.101. chrome 86.0.4240.183
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250Min: 261.34 / Avg: 262.14 / Max: 263.31Min: 261.9 / Avg: 264.49 / Max: 267.53Min: 261.57 / Avg: 263.77 / Max: 268.05Min: 254.98 / Avg: 257.76 / Max: 260.2Min: 258 / Avg: 259.1 / Max: 260.761. chrome 86.0.4240.183

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240SE +/- 0.40, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.31, N = 335.6935.5035.3634.8034.871. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240Min: 35.17 / Avg: 35.69 / Max: 36.48Min: 35.14 / Avg: 35.5 / Max: 35.7Min: 35.18 / Avg: 35.36 / Max: 35.67Min: 34.59 / Avg: 34.8 / Max: 35.08Min: 34.34 / Avg: 34.87 / Max: 35.411. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. AMD Ryzen 7 5800X: firefox 82.0.3

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: resnet50Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.826.666.666.656.67MIN: 6.65 / MAX: 15.99MIN: 6.53 / MAX: 6.9MIN: 6.55 / MAX: 6.88MIN: 6.52 / MAX: 6.82MIN: 6.54 / MAX: 10.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 6.79 / Avg: 6.82 / Max: 6.85Min: 6.65 / Avg: 6.66 / Max: 6.67Min: 6.65 / Avg: 6.66 / Max: 6.66Min: 6.65 / Avg: 6.65 / Max: 6.66Min: 6.66 / Avg: 6.67 / Max: 6.681. (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: 2to3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3237241241235235
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 236 / Avg: 236.67 / Max: 238Min: 240 / Avg: 240.67 / Max: 242Min: 234 / Avg: 234.67 / Max: 235

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X70140210280350SE +/- 1.20, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3319324327321322
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300Min: 317 / Avg: 319.33 / Max: 321Min: 323 / Avg: 323.67 / Max: 325Min: 321 / Avg: 321.67 / Max: 322

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X70140210280350SE +/- 5.00, N = 3SE +/- 2.62, N = 3SE +/- 3.28, N = 3SE +/- 3.03, N = 3SE +/- 2.62, N = 3299.9303.3302.7299.4296.01. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250Min: 292.7 / Avg: 299.87 / Max: 309.5Min: 298.1 / Avg: 303.33 / Max: 306.1Min: 298.9 / Avg: 302.67 / Max: 309.2Min: 293.3 / Avg: 299.37 / Max: 302.5Min: 292.9 / Avg: 296 / Max: 301.21. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1020304050SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 0.19, N = 342.9742.6942.7441.9841.94
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645Min: 42.82 / Avg: 42.97 / Max: 43.2Min: 42.52 / Avg: 42.69 / Max: 42.8Min: 42.69 / Avg: 42.74 / Max: 42.86Min: 41.5 / Avg: 41.98 / Max: 42.3Min: 41.73 / Avg: 41.94 / Max: 42.33

Selenium

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.96751.9352.90253.874.8375SE +/- 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. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.3 / Avg: 4.33 / Max: 4.4Min: 4.3 / Avg: 4.33 / Max: 4.4Min: 4.2 / Avg: 4.27 / Max: 4.3Min: 4.2 / Avg: 4.2 / Max: 4.2Min: 4.2 / Avg: 4.27 / Max: 4.31. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.94, N = 3SE +/- 0.74, N = 391.489.989.589.390.1
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 90.9 / Avg: 91.37 / Max: 91.8Min: 89.6 / Avg: 89.87 / Max: 90.1Min: 89.2 / Avg: 89.5 / Max: 89.7Min: 88.2 / Avg: 89.33 / Max: 91.2Min: 89.3 / Avg: 90.13 / Max: 91.6

Selenium

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

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1020304050SE +/- 0.27, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 343.8042.8043.2042.9343.691. chrome 86.0.4240.183
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645Min: 43.3 / Avg: 43.83 / Max: 44.2Min: 42.7 / Avg: 42.8 / Max: 42.89Min: 43.1 / Avg: 43.2 / Max: 43.3Min: 42.78 / Avg: 42.93 / Max: 43.1Min: 43.68 / Avg: 43.69 / Max: 43.71. 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 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 8.51, N = 3SE +/- 4.30, N = 3SE +/- 5.96, N = 3839.9859.5850.31. (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
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 1.x - Resolution: 1920 x 1080AMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X150300450600750Min: 822.9 / Avg: 839.87 / Max: 849.5Min: 855.2 / Avg: 859.5 / Max: 868.1Min: 840.4 / Avg: 850.3 / Max: 8611. (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_templateRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 335.135.635.935.335.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X816243240Min: 35 / Avg: 35.1 / Max: 35.2Min: 35.5 / Avg: 35.6 / Max: 35.7Min: 35.8 / Avg: 35.87 / Max: 36Min: 35.1 / Avg: 35.27 / Max: 35.4Min: 35.2 / Avg: 35.2 / 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: AntialiasRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X714212835SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 328.5128.5628.5927.9827.96
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 28.32 / Avg: 28.51 / Max: 28.77Min: 28.48 / Avg: 28.56 / Max: 28.61Min: 28.5 / Avg: 28.59 / Max: 28.64Min: 27.95 / Avg: 27.98 / Max: 28.03Min: 27.8 / Avg: 27.96 / Max: 28.05

Dolfyn

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 313.6613.5913.6813.3813.39
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 13.51 / Avg: 13.66 / Max: 13.83Min: 13.51 / Avg: 13.59 / Max: 13.7Min: 13.59 / Avg: 13.68 / Max: 13.79Min: 13.27 / Avg: 13.38 / Max: 13.45Min: 13.27 / Avg: 13.39 / Max: 13.57

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 317.1417.2717.1616.9216.90
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 17.04 / Avg: 17.14 / Max: 17.28Min: 17.16 / Avg: 17.27 / Max: 17.37Min: 17.12 / Avg: 17.16 / Max: 17.2Min: 16.87 / Avg: 16.92 / Max: 16.97Min: 16.87 / Avg: 16.9 / Max: 16.93

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X130260390520650SE +/- 2.95, N = 3SE +/- 0.49, N = 3SE +/- 0.65, N = 3SE +/- 1.62, N = 3SE +/- 2.08, N = 3596.4609.3608.9597.5598.81. chrome 86.0.4240.183
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X110220330440550Min: 590.6 / Avg: 596.43 / Max: 600.1Min: 608.5 / Avg: 609.33 / Max: 610.2Min: 608.2 / Avg: 608.9 / Max: 610.2Min: 594.4 / Avg: 597.53 / Max: 599.8Min: 595.3 / Avg: 598.83 / Max: 602.51. 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 v2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X50100150200250SE +/- 1.35, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.53, N = 3SE +/- 0.21, N = 3218.34213.81213.74215.32215.64MIN: 215.2 / MAX: 236.84MIN: 213.6 / MAX: 216.12MIN: 213.54 / MAX: 218.18MIN: 213.41 / MAX: 217.32MIN: 214.78 / MAX: 216.291. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 216.67 / Avg: 218.34 / Max: 221.02Min: 213.68 / Avg: 213.81 / Max: 213.92Min: 213.69 / Avg: 213.74 / Max: 213.78Min: 214.27 / Avg: 215.32 / Max: 215.95Min: 215.4 / Avg: 215.64 / Max: 216.071. (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 ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X70140210280350SE +/- 0.95, N = 3SE +/- 0.09, N = 3SE +/- 0.61, N = 3SE +/- 0.61, N = 3SE +/- 0.92, N = 3320.01322.63322.60326.56326.811. chrome 86.0.4240.183
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X60120180240300Min: 318.11 / Avg: 320.01 / Max: 321.05Min: 322.47 / Avg: 322.63 / Max: 322.76Min: 321.97 / Avg: 322.6 / Max: 323.82Min: 325.93 / Avg: 326.56 / Max: 327.78Min: 325.06 / Avg: 326.81 / Max: 328.191. 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: goRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3189191193189190
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200Min: 188 / Avg: 188.67 / Max: 189Min: 191 / Avg: 192.67 / Max: 194Min: 189 / Avg: 190 / Max: 191

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: resnet18Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.54681.09361.64042.18722.734SE +/- 0.00, N = 3SE +/- 0.01, N = 2SE +/- 0.00, N = 3SE +/- 0.00, N = 2SE +/- 0.00, N = 22.432.392.392.392.38MIN: 2.35 / MAX: 2.62MIN: 2.32 / MAX: 2.6MIN: 2.32 / MAX: 2.87MIN: 2.31 / MAX: 2.57MIN: 2.32 / MAX: 2.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.43 / Avg: 2.43 / Max: 2.43Min: 2.38 / Avg: 2.39 / Max: 2.39Min: 2.39 / Avg: 2.39 / Max: 2.39Min: 2.39 / Avg: 2.39 / Max: 2.39Min: 2.38 / Avg: 2.38 / Max: 2.381. (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-ProcessingRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X110220330440550SE +/- 1.13, N = 3SE +/- 0.67, N = 3SE +/- 0.37, N = 3SE +/- 0.86, N = 3SE +/- 0.46, N = 3482.60488.59485.33480.10478.571. (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-ProcessingRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X90180270360450Min: 480.64 / Avg: 482.6 / Max: 484.55Min: 487.68 / Avg: 488.59 / Max: 489.9Min: 484.72 / Avg: 485.33 / Max: 486.01Min: 478.42 / Avg: 480.1 / Max: 481.24Min: 477.88 / Avg: 478.57 / Max: 479.451. (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: ScaleRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.00442.00883.01324.01765.022SE +/- 0.044, N = 3SE +/- 0.067, N = 3SE +/- 0.045, N = 3SE +/- 0.025, N = 3SE +/- 0.046, N = 34.4614.4034.4644.3754.373
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 4.39 / Avg: 4.46 / Max: 4.54Min: 4.3 / Avg: 4.4 / Max: 4.53Min: 4.39 / Avg: 4.46 / Max: 4.54Min: 4.33 / Avg: 4.37 / Max: 4.41Min: 4.28 / Avg: 4.37 / Max: 4.44

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: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.13, N = 3SE +/- 0.83, N = 3SE +/- 0.67, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3108.9107.8108.0108.0110.01. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 108.6 / Avg: 108.87 / Max: 109Min: 107 / Avg: 107.83 / Max: 109.5Min: 107 / Avg: 107.67 / Max: 109Min: 107 / Avg: 108.33 / Max: 110Min: 108 / Avg: 109.67 / Max: 1121. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3

Optcarrot

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

OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized BenchmarkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200SE +/- 1.24, N = 4SE +/- 0.79, N = 4SE +/- 0.86, N = 4SE +/- 1.35, N = 4SE +/- 1.16, N = 4165.70163.17162.43162.85164.721. ruby 2.7.1p83 (2020-03-31 revision a0c7c23c9c) [x86_64-linux-gnu]
OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized BenchmarkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 162.26 / Avg: 165.7 / Max: 167.67Min: 161.04 / Avg: 163.17 / Max: 164.78Min: 159.91 / Avg: 162.43 / Max: 163.83Min: 159.35 / Avg: 162.85 / Max: 165.76Min: 161.75 / Avg: 164.72 / Max: 167.351. 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: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150SE +/- 0.20, N = 3SE +/- 1.27, N = 3SE +/- 1.45, N = 3SE +/- 0.37, N = 3SE +/- 0.42, N = 3113.04112.89113.98113.85115.161. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 112.64 / Avg: 113.04 / Max: 113.31Min: 110.36 / Avg: 112.89 / Max: 114.33Min: 111.8 / Avg: 113.98 / Max: 116.74Min: 113.29 / Avg: 113.85 / Max: 114.56Min: 114.34 / Avg: 115.16 / Max: 115.751. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200SE +/- 0.51, N = 3SE +/- 0.33, N = 3SE +/- 0.12, N = 3SE +/- 0.29, N = 3SE +/- 0.78, N = 3183.89185.52184.43187.41186.851. chrome 86.0.4240.183
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 182.93 / Avg: 183.89 / Max: 184.66Min: 184.9 / Avg: 185.52 / Max: 185.99Min: 184.21 / Avg: 184.42 / Max: 184.61Min: 186.92 / Avg: 187.41 / Max: 187.92Min: 185.35 / Avg: 186.85 / Max: 187.971. 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 TimesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1020304050SE +/- 0.23, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.35, N = 341.8642.0142.0341.4441.301. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X918273645Min: 41.4 / Avg: 41.86 / Max: 42.1Min: 41.96 / Avg: 42.01 / Max: 42.03Min: 42 / Avg: 42.03 / Max: 42.06Min: 41.39 / Avg: 41.44 / Max: 41.49Min: 40.61 / Avg: 41.3 / Max: 41.661. 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: ReflectRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.24, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 323.5723.7723.7423.3723.46
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 23.27 / Avg: 23.57 / Max: 24.05Min: 23.68 / Avg: 23.77 / Max: 23.86Min: 23.72 / Avg: 23.74 / Max: 23.76Min: 23.13 / Avg: 23.37 / Max: 23.51Min: 23.43 / Avg: 23.46 / Max: 23.48

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.8191.6382.4573.2764.095SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 33.643.583.623.603.60MIN: 3.38 / MAX: 5.37MIN: 3.35 / MAX: 5.17MIN: 3.35 / MAX: 5.17MIN: 3.33 / MAX: 12.49MIN: 3.34 / MAX: 9.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 3.62 / Avg: 3.64 / Max: 3.66Min: 3.54 / Avg: 3.58 / Max: 3.62Min: 3.58 / Avg: 3.62 / Max: 3.67Min: 3.57 / Avg: 3.6 / Max: 3.64Min: 3.59 / Avg: 3.6 / Max: 3.621. (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 ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200SE +/- 0.40, N = 3SE +/- 0.67, N = 3SE +/- 0.22, N = 3SE +/- 0.52, N = 3SE +/- 0.35, N = 3164.0162.2162.3164.9164.41. chrome 86.0.4240.183
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 163.3 / Avg: 164 / Max: 164.7Min: 160.9 / Avg: 162.2 / Max: 163.1Min: 162 / Avg: 162.27 / Max: 162.7Min: 164.3 / Avg: 164.87 / Max: 165.9Min: 163.8 / Avg: 164.37 / Max: 1651. 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 5.2.0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.19342.38683.58024.77365.967SE +/- 0.025, N = 5SE +/- 0.017, N = 5SE +/- 0.021, N = 5SE +/- 0.024, N = 5SE +/- 0.019, N = 55.3045.2735.2315.2365.221
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.22 / Avg: 5.3 / Max: 5.36Min: 5.24 / Avg: 5.27 / Max: 5.33Min: 5.2 / Avg: 5.23 / Max: 5.32Min: 5.17 / Avg: 5.24 / Max: 5.3Min: 5.19 / Avg: 5.22 / Max: 5.3

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1224364860SE +/- 0.45, N = 3SE +/- 0.26, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 352.5252.2152.2153.0353.041. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1122334455Min: 51.82 / Avg: 52.52 / Max: 53.37Min: 51.7 / Avg: 52.21 / Max: 52.54Min: 52.13 / Avg: 52.21 / Max: 52.37Min: 52.82 / Avg: 53.03 / Max: 53.33Min: 52.94 / Avg: 53.04 / Max: 53.141. (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: googlenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.262.523.785.046.3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.605.535.535.525.56MIN: 5.47 / MAX: 11.99MIN: 5.41 / MAX: 9.44MIN: 5.41 / MAX: 6.31MIN: 5.41 / MAX: 6.32MIN: 5.42 / MAX: 101. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.56 / Avg: 5.6 / Max: 5.65Min: 5.52 / Avg: 5.53 / Max: 5.54Min: 5.52 / Avg: 5.53 / Max: 5.54Min: 5.51 / Avg: 5.52 / Max: 5.53Min: 5.55 / Avg: 5.56 / Max: 5.571. (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: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X150300450600750SE +/- 4.78, N = 3SE +/- 1.13, N = 3SE +/- 1.33, N = 3SE +/- 5.00, N = 3SE +/- 3.15, N = 3674.3669.7666.5665.8664.81. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X120240360480600Min: 667.4 / Avg: 674.33 / Max: 683.5Min: 667.5 / Avg: 669.67 / Max: 671.3Min: 663.9 / Avg: 666.53 / Max: 668.2Min: 656.6 / Avg: 665.77 / Max: 673.8Min: 659.5 / Avg: 664.8 / Max: 670.41. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.25. AMD Ryzen 7 5800X: firefox 82.0.3

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.17, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 324.524.824.824.624.51. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 24.2 / Avg: 24.5 / Max: 24.8Min: 24.5 / Avg: 24.8 / Max: 25.2Min: 24.8 / Avg: 24.83 / Max: 24.9Min: 24.4 / Avg: 24.6 / Max: 24.8Min: 24.4 / Avg: 24.47 / Max: 24.51. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3

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: blazefaceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.19130.38260.57390.76520.9565SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.850.840.840.840.85MIN: 0.78 / MAX: 1.3MIN: 0.76 / MAX: 1.26MIN: 0.76 / MAX: 1.25MIN: 0.76 / MAX: 1.34MIN: 0.76 / MAX: 1.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 0.81 / Avg: 0.85 / Max: 0.87Min: 0.84 / Avg: 0.84 / Max: 0.85Min: 0.83 / Avg: 0.84 / Max: 0.85Min: 0.84 / Avg: 0.84 / Max: 0.85Min: 0.83 / Avg: 0.85 / Max: 0.861. (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 5600XRyzen 7 5800XAMD Ryzen 7 5800X4080120160200SE +/- 2.05, N = 3SE +/- 1.08, N = 3SE +/- 0.15, N = 3176.5178.0177.11. (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
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 1080AMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 172.9 / Avg: 176.5 / Max: 180Min: 176 / Avg: 178 / Max: 179.7Min: 176.9 / Avg: 177.1 / Max: 177.41. (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 5600XRyzen 7 5800XAMD Ryzen 7 5800X1326395265SE +/- 0.03, N = 3SE +/- 0.06, N = 357.056.957.0MAX: 76.4MAX: 76MAX: 76.4
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1122334455Min: 56.9 / Avg: 56.93 / Max: 57Min: 56.9 / Avg: 57 / Max: 57.1

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 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000SE +/- 0.00, N = 3SE +/- 1.03, N = 3SE +/- 0.53, N = 3992.2993.2991.71. (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
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 1080AMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X2004006008001000Min: 992.2 / Avg: 992.2 / Max: 992.2Min: 992.2 / Avg: 993.23 / Max: 995.3Min: 990.6 / Avg: 991.67 / Max: 992.21. (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

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 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 393.4293.3493.35
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Heaven 4.0Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGLAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 93.21 / Avg: 93.42 / Max: 93.58Min: 93.2 / Avg: 93.34 / Max: 93.57Min: 93.25 / Avg: 93.35 / Max: 93.51

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 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3106.1106.1106.1MAX: 171MAX: 171MAX: 171.2
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X20406080100Min: 106.1 / Avg: 106.13 / Max: 106.2Min: 106 / Avg: 106.1 / Max: 106.2Min: 106 / Avg: 106.07 / 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 ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.91.82.73.64.5SE +/- 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 ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 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: BlowfishRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X6K12K18K24K30KSE +/- 336.91, N = 3SE +/- 18.19, N = 3SE +/- 19.38, N = 3SE +/- 482.40, N = 12SE +/- 138.91, N = 329864158911584619527202161. (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: BlowfishRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X5K10K15K20K25KMin: 29351 / Avg: 29864.33 / Max: 30499Min: 15859 / Avg: 15891 / Max: 15922Min: 15818 / Avg: 15845.67 / Max: 15883Min: 14246 / Avg: 19527 / Max: 20510Min: 20025 / Avg: 20215.67 / Max: 204861. (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 NetworkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X12002400360048006000SE +/- 117.34, N = 13SE +/- 279.72, N = 12SE +/- 224.33, N = 15SE +/- 198.26, N = 15SE +/- 112.24, N = 15366952025600393340191. (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 NetworkRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X10002000300040005000Min: 3190 / Avg: 3668.92 / Max: 4687Min: 3530 / Avg: 5202 / Max: 6647Min: 4227 / Avg: 5599.93 / Max: 7069Min: 2943 / Avg: 3933.47 / Max: 5446Min: 3362 / Avg: 4018.73 / Max: 47891. (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 ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X7K14K21K28K35KSE +/- 686.65, N = 9SE +/- 370.50, N = 9SE +/- 505.88, N = 9SE +/- 1127.24, N = 6SE +/- 712.44, N = 931191263842662826970287561. chrome 86.0.4240.183
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X5K10K15K20K25KMin: 28313 / Avg: 31191.33 / Max: 34188Min: 24816 / Avg: 26384.22 / Max: 28619Min: 23740 / Avg: 26628.44 / Max: 28889Min: 23350 / Avg: 26969.83 / Max: 30395Min: 24042 / Avg: 28755.89 / Max: 308821. chrome 86.0.4240.183

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150SE +/- 9.19, N = 9SE +/- 9.57, N = 6SE +/- 6.57, N = 7SE +/- 1.66, N = 3SE +/- 8.13, N = 9144.62109.05105.38124.98121.231. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: MotionMark - Browser: FirefoxRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X306090120150Min: 110.75 / Avg: 144.62 / Max: 183.62Min: 82.91 / Avg: 109.05 / Max: 153.15Min: 77.67 / Avg: 105.38 / Max: 122.86Min: 122.62 / Avg: 124.98 / Max: 128.19Min: 89.96 / Avg: 121.23 / Max: 150.121. Ryzen 9 5900X: firefox 82.0.22. Ryzen 5 5600X: firefox 82.0.23. AMD 5600X: firefox 82.0.24. Ryzen 7 5800X: firefox 82.0.35. AMD Ryzen 7 5800X: firefox 82.0.3

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.58731.17461.76192.34922.9365SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 32.512.402.612.492.41MIN: 2.39 / MAX: 3.54MIN: 2.36 / MAX: 3.2MIN: 2.36 / MAX: 3.2MIN: 2.36 / MAX: 2.84MIN: 2.36 / MAX: 2.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Ryzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 2.41 / Avg: 2.51 / Max: 2.7Min: 2.39 / Avg: 2.4 / Max: 2.42Min: 2.57 / Avg: 2.61 / Max: 2.65Min: 2.39 / Avg: 2.49 / Max: 2.55Min: 2.39 / Avg: 2.41 / Max: 2.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X0.35330.70661.05991.41321.7665SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 31.570.980.981.050.99MIN: 1.53 / MAX: 1.75MIN: 0.97 / MAX: 2.04MIN: 0.97 / MAX: 1.52MIN: 0.97 / MAX: 1.71MIN: 0.97 / MAX: 2.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 1.55 / Avg: 1.57 / Max: 1.59Min: 0.97 / Avg: 0.98 / Max: 0.98Min: 0.98 / Avg: 0.98 / Max: 0.99Min: 0.99 / Avg: 1.05 / Max: 1.17Min: 0.99 / Avg: 0.99 / Max: 11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.02, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.45, N = 3SE +/- 0.11, N = 312.3013.3713.2512.4411.86MIN: 12.15 / MAX: 12.53MIN: 13.06 / MAX: 15.59MIN: 13.14 / MAX: 13.5MIN: 11.63 / MAX: 13.53MIN: 11.63 / MAX: 12.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620Min: 12.27 / Avg: 12.3 / Max: 12.32Min: 13.15 / Avg: 13.37 / Max: 13.81Min: 13.22 / Avg: 13.25 / Max: 13.29Min: 11.69 / Avg: 12.44 / Max: 13.26Min: 11.69 / Avg: 11.86 / Max: 12.061. (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 PDFRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X1.30592.61183.91775.22366.5295SE +/- 0.128, N = 25SE +/- 0.103, N = 25SE +/- 0.125, N = 25SE +/- 0.121, N = 25SE +/- 0.227, N = 205.6945.6175.8045.4705.5761. LibreOffice 7.0.2.2 00(Build:2)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810Min: 5.11 / Avg: 5.69 / Max: 6.91Min: 5.24 / Avg: 5.62 / Max: 6.98Min: 5.29 / Avg: 5.8 / Max: 7.1Min: 5.04 / Avg: 5.47 / Max: 7.29Min: 5.12 / Avg: 5.58 / Max: 9.511. 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 SynthesisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430SE +/- 0.51, N = 20SE +/- 0.20, N = 4SE +/- 0.18, N = 4SE +/- 0.57, N = 20SE +/- 0.58, N = 2024.2622.8622.6724.3024.181. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X612182430Min: 21.46 / Avg: 24.26 / Max: 29.76Min: 22.39 / Avg: 22.86 / Max: 23.33Min: 22.24 / Avg: 22.67 / Max: 23.09Min: 22.19 / Avg: 24.3 / Max: 32.63Min: 21.65 / Avg: 24.18 / Max: 32.931. (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 FLACRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X246810SE +/- 0.052, N = 5SE +/- 0.019, N = 5SE +/- 0.007, N = 5SE +/- 0.013, N = 5SE +/- 0.347, N = 256.5796.7956.7596.4146.8531. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 6.44 / Avg: 6.58 / Max: 6.73Min: 6.75 / Avg: 6.79 / Max: 6.86Min: 6.74 / Avg: 6.76 / Max: 6.78Min: 6.38 / Avg: 6.41 / Max: 6.44Min: 6.45 / Avg: 6.85 / Max: 15.191. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 15SE +/- 0.06, N = 317.1614.2414.7916.2917.81MIN: 16.8MIN: 13.78MIN: 14.27MIN: 14.64MIN: 15.491. (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: CPURyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X510152025Min: 17.14 / Avg: 17.16 / Max: 17.2Min: 14.2 / Avg: 14.24 / Max: 14.28Min: 14.65 / Avg: 14.79 / Max: 14.87Min: 15.14 / Avg: 16.29 / Max: 17.58Min: 17.7 / Avg: 17.81 / Max: 17.921. (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 ProteinRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215SE +/- 0.141, N = 12SE +/- 0.075, N = 4SE +/- 0.031, N = 3SE +/- 0.121, N = 13SE +/- 0.096, N = 1510.3065.8785.8877.0766.8021. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinRyzen 9 5900XRyzen 5 5600XAMD 5600XRyzen 7 5800XAMD Ryzen 7 5800X3691215Min: 9.06 / Avg: 10.31 / Max: 10.69Min: 5.72 / Avg: 5.88 / Max: 6.08Min: 5.83 / Avg: 5.89 / Max: 5.93Min: 5.77 / Avg: 7.08 / Max: 7.41Min: 6.23 / Avg: 6.8 / Max: 7.441. (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