Core i5 10600K X

Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

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Core i5 10600K
July 23 2020
  14 Hours, 36 Minutes
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Core i5 10600K

Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: DELL P2415Q, Network: Intel

OS: Ubuntu 20.04, Kernel: 5.4.0-40-generic (x86_64), Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i5 10600K XOpenBenchmarking.orgPhoronix Test SuiteIntel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)ASUS PRIME Z490M-PLUS (1001 BIOS)Intel Comet Lake PCH32GBSamsung SSD 970 EVO 500GBASUS Intel UHD 630 3GB (1200MHz)Realtek ALC887-VDDELL P2415QIntelUbuntu 20.045.4.0-40-generic (x86_64)GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8GCC 9.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCore I5 10600K X BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8- OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)- Python 2.7.18rc1 + Python 3.8.2- itlb_multihit: KVM: Vulnerable + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i5 10600K Xtesseract-ocr: Time To OCR 7 Imagesai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scoreappleseed: Material Testerappleseed: Disney Materialappleseed: Emilypyperformance: pickle_pure_pythonpyperformance: django_templatepyperformance: python_startuppyperformance: regex_compilepyperformance: crypto_pyaespyperformance: json_loadspyperformance: raytracepyperformance: pathlibpyperformance: nbodypyperformance: floatpyperformance: chaospyperformance: 2to3pyperformance: goblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Classroom - CPU-Onlyblender: BMW27 - CPU-Onlyindigobench: Supercarindigobench: Bedroomv-ray: CPUocrmypdf: Processing 60 Page PDF Documentdaphne: OpenMP - Euclidean Clusterdaphne: OpenMP - Points2Imagedaphne: OpenMP - NDT Mappingtachyon: Total Timeradiance: SMP Parallelradiance: Serialn-queens: Elapsed Timem-queens: Time To Solveffmpeg: H.264 HD To NTSC DVaobench: 2048 x 2048 - Total Timerays1bench: Large Sceneopm: Flow MPI Norne - 6opm: Flow MPI Norne - 4opm: Flow MPI Norne - 2opm: Flow MPI Norne - 1yafaray: Total Time For Sample Scenetungsten: Volumetric Caustictungsten: Non-Exponentialtungsten: Water Caustictungsten: Hairsmallpt: Global Illumination Renderer; 128 Samplespovray: Trace Timec-ray: Total Time - 4K, 16 Rays Per Pixelbuild-linux-kernel: Time To Compileavifenc: 10avifenc: 8avifenc: 2avifenc: 0asmfish: 1024 Hash Memory, 26 Depthstockfish: Total Timeluxcorerender: Rainbow Colors and Prismluxcorerender: DLSCopenvkl: vklBenchmarkUnstructuredVolumeopenvkl: vklBenchmarkStructuredVolumeopenvkl: vklBenchmarkVdbVolumeopenvkl: vklBenchmarkoidn: Memorialx265: H.265 1080p Video Encodingx264: H.264 Video Encodingvpxenc: Speed 5vpxenc: Speed 0svt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-hevc: 1080p 8-bit YUV To HEVC Video Encodesvt-av1: Enc Mode 8 - 1080psvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 0 - 1080pembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer - Asian Dragonembree: Pathtracer ISPC - Crownembree: Pathtracer - Crownaom-av1: Speed 8 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 4 Two-Passaom-av1: Speed 0 Two-Passttsiod-renderer: Phong Rendering With Soft-Shadow Mappingospray: Magnetic Reconnection - Path Tracerospray: NASA Streamlines - Path Tracerospray: Magnetic Reconnection - SciVisospray: XFrog Forest - Path Tracerospray: NASA Streamlines - SciVisospray: San Miguel - Path Tracerospray: XFrog Forest - SciVisospray: San Miguel - SciVisdav1d: Chimera 1080p 10-bitdav1d: Summer Nature 1080pdav1d: Summer Nature 4Kdav1d: Chimera 1080ponednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: IP Batch All - u8s8f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch All - f32 - CPUonednn: IP Batch 1D - f32 - CPUtscp: AI Chess Performancecrafty: Elapsed Timerenaissance: Genetic Algorithm Using Jenetics + Futuresrenaissance: Akka Unbalanced Cobwebbed Treerenaissance: In-Memory Database Shootoutrenaissance: Twitter HTTP Requestsrenaissance: Savina Reactors.IOrenaissance: Apache Spark ALSrenaissance: Rand Forestrenaissance: Scala Dottyjava-gradle-perf: Reactorlibgav1: Chimera 1080p 10-bitlibgav1: Summer Nature 1080plibgav1: Summer Nature 4Klibgav1: Chimera 1080prodinia: OpenMP Streamclusterrodinia: OpenMP CFD Solverrodinia: OpenMP Leukocyterodinia: OpenMP HotSpot3Drodinia: OpenMP LavaMDlczero: BLASwireguard: renaissance: Apache Spark PageRankrenaissance: Apache Spark BayesCore i5 10600K20.388222511261099283.147408303.653296512.45574634540.16.6314088.819.337315.298.688.585.6265201788.98865.93326.98617.80208.512.4811.0581125329.1901234.9132473.368003115850.74118.5346192.058613.72918.773108.1844.22628.90843.93304.836237.522196.61314.097196.06712.21298.9510530.012335.868414.04359.53794.647105.8345.0555.41763.478106.91022469622199766891.371.262380196.044164051297524.65765824019599.924242113.976.8655.0674.8628.817.83123.11157.14152.3640.2021.8192.7690.13111.048912.16159.321510.07729.68178.555245.724.1821.472.620.31415.703166.673.2212.661.1715.6251.152.1513.04102.86498.75144.38551.732.740193.44955143.875355.4684.001375.9518613.98448.362665.2708715.361828.18862.0269465.30804.30207102400093839861280.0598047.0512455.2591894.62916055.8481840.4651480.6971431.157196.88924.0193.2823.9458.2118.04128.076131.80893.115305.113381156.1233310.895663.015OpenBenchmarking.org

Tesseract OCR

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesCore i5 10600K510152025SE +/- 0.02, N = 320.39

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreCore i5 10600K50010001500200025002225

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreCore i5 10600K20040060080010001126

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreCore i5 10600K20040060080010001099

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterCore i5 10600K60120180240300283.15

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialCore i5 10600K70140210280350303.65

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyCore i5 10600K110220330440550512.46

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: pickle_pure_pythonCore i5 10600K70140210280350345

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateCore i5 10600K918273645SE +/- 0.18, N = 340.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCore i5 10600K246810SE +/- 0.03, N = 36.63

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCore i5 10600K306090120150140

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesCore i5 10600K20406080100SE +/- 0.06, N = 388.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsCore i5 10600K510152025SE +/- 0.00, N = 319.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCore i5 10600K80160240320400373

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCore i5 10600K48121620SE +/- 0.00, N = 315.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyCore i5 10600K20406080100SE +/- 0.07, N = 398.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatCore i5 10600K20406080100SE +/- 0.09, N = 388.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosCore i5 10600K20406080100SE +/- 0.19, N = 385.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Core i5 10600K60120180240300265

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goCore i5 10600K4080120160200201

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 2.82Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i5 10600K2004006008001000SE +/- 1.15, N = 3788.98

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Barbershop - Compute: CPU-OnlyCore i5 10600K2004006008001000SE +/- 3.21, N = 3865.93

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Fishy Cat - Compute: CPU-OnlyCore i5 10600K70140210280350SE +/- 1.09, N = 3326.98

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: Classroom - Compute: CPU-OnlyCore i5 10600K130260390520650SE +/- 1.58, N = 3617.80

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.82Blend File: BMW27 - Compute: CPU-OnlyCore i5 10600K50100150200250SE +/- 0.19, N = 3208.51

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: SupercarCore i5 10600K0.55821.11641.67462.23282.791SE +/- 0.001, N = 32.481

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: BedroomCore i5 10600K0.23810.47620.71430.95241.1905SE +/- 0.001, N = 31.058

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUCore i5 10600K2K4K6K8K10KSE +/- 30.67, N = 311253

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentCore i5 10600K714212835SE +/- 0.07, N = 329.19

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 ClusterCore i5 10600K30060090012001500SE +/- 0.93, N = 31234.911. (CXX) g++ options: -O3 -std=c++11 -fopenmp

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageCore i5 10600K7K14K21K28K35KSE +/- 274.07, N = 332473.371. (CXX) g++ options: -O3 -std=c++11 -fopenmp

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingCore i5 10600K2004006008001000SE +/- 0.70, N = 3850.741. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Tachyon

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeCore i5 10600K306090120150SE +/- 0.11, N = 3118.531. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -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: SMP ParallelCore i5 10600K4080120160200192.06

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialCore i5 10600K130260390520650613.73

N-Queens

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

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeCore i5 10600K510152025SE +/- 0.00, N = 318.771. (CC) gcc options: -static -fopenmp -O3 -march=native

m-queens

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

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveCore i5 10600K20406080100SE +/- 0.02, N = 3108.181. (CXX) g++ options: -fopenmp -O2 -march=native

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 DVCore i5 10600K0.95091.90182.85273.80364.7545SE +/- 0.017, N = 34.2261. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lXv -lX11 -lXext -lm -lxcb -lasound -lSDL2 -lsndio -pthread -lva -lbz2 -llzma -lva-drm -lva-x11 -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT

AOBench

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeCore i5 10600K714212835SE +/- 0.02, N = 328.911. (CC) gcc options: -lm -O3

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 SceneCore i5 10600K1020304050SE +/- 0.01, N = 343.93

Open Porous Media

This is a test of Open Porous Media, a set of open-source tools concerning simulation of flow and transport of fluids in porous media. This test profile depends upon MPI/Flow already being installed on the system. Install instructions at https://opm-project.org/?page_id=36. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 6Core i5 10600K70140210280350SE +/- 0.31, N = 3304.841. flow 2020.04

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 4Core i5 10600K50100150200250SE +/- 0.11, N = 3237.521. flow 2020.04

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 2Core i5 10600K4080120160200SE +/- 0.01, N = 3196.611. flow 2020.04

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 1Core i5 10600K70140210280350SE +/- 0.55, N = 3314.101. flow 2020.04

YafaRay

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

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneCore i5 10600K4080120160200SE +/- 0.56, N = 3196.071. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Tungsten Renderer

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticCore i5 10600K3691215SE +/- 0.02, N = 312.211. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialCore i5 10600K3691215SE +/- 0.02668, N = 38.951051. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticCore i5 10600K714212835SE +/- 0.06, N = 330.011. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairCore i5 10600K816243240SE +/- 0.06, N = 335.871. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Smallpt

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesCore i5 10600K48121620SE +/- 0.01, N = 314.041. (CXX) g++ options: -fopenmp -O3

POV-Ray

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeCore i5 10600K1326395265SE +/- 0.06, N = 359.541. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

C-Ray

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

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelCore i5 10600K20406080100SE +/- 0.03, N = 394.651. (CC) gcc options: -lm -lpthread -O3

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i5 10600K20406080100SE +/- 0.68, N = 3105.83

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Core i5 10600K1.13742.27483.41224.54965.687SE +/- 0.011, N = 35.0551. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Core i5 10600K1.21882.43763.65644.87526.094SE +/- 0.004, N = 35.4171. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Core i5 10600K1428425670SE +/- 0.11, N = 363.481. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Core i5 10600K20406080100SE +/- 0.17, N = 3106.911. (CXX) g++ options: -O3 -fPIC

asmFish

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

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i5 10600K5M10M15M20M25MSE +/- 97184.84, N = 322469622

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeCore i5 10600K4M8M12M16M20MSE +/- 136450.27, N = 3199766891. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismCore i5 10600K0.30830.61660.92491.23321.5415SE +/- 0.01, N = 31.37MIN: 1.34 / MAX: 1.42

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCore i5 10600K0.28350.5670.85051.1341.4175SE +/- 0.01, N = 31.26MIN: 1.21 / MAX: 1.29

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: vklBenchmarkUnstructuredVolumeCore i5 10600K500K1000K1500K2000K2500KSE +/- 4726.00, N = 32380196.04MIN: 34812 / MAX: 8466397

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeCore i5 10600K11M22M33M44M55MSE +/- 179323.68, N = 351297524.66MIN: 1212665 / MAX: 286550640

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeCore i5 10600K5M10M15M20M25MSE +/- 126216.52, N = 324019599.92MIN: 951512 / MAX: 79642980

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i5 10600K306090120150SE +/- 0.14, N = 3113.97MIN: 1 / MAX: 457

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCore i5 10600K246810SE +/- 0.02, N = 36.86

x265

This is a simple test of the x265 encoder run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingCore i5 10600K1224364860SE +/- 0.28, N = 355.061. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x264

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingCore i5 10600K20406080100SE +/- 0.86, N = 374.861. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Core i5 10600K714212835SE +/- 0.02, N = 328.811. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Core i5 10600K246810SE +/- 0.04, N = 37.831. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCore i5 10600K306090120150SE +/- 0.13, N = 3123.111. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i5 10600K306090120150SE +/- 0.33, N = 3157.141. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pCore i5 10600K306090120150SE +/- 1.01, N = 3152.361. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 EncodeCore i5 10600K918273645SE +/- 0.04, N = 340.201. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pCore i5 10600K510152025SE +/- 0.02, N = 321.821. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCore i5 10600K0.6231.2461.8692.4923.115SE +/- 0.005, N = 32.7691. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pCore i5 10600K0.02950.0590.08850.1180.1475SE +/- 0.000, N = 30.1311. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjCore i5 10600K3691215SE +/- 0.01, N = 311.05MIN: 10.99 / MAX: 11.2

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonCore i5 10600K3691215SE +/- 0.07, N = 312.16MIN: 11.68 / MAX: 12.59

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjCore i5 10600K3691215SE +/- 0.1309, N = 49.3215MIN: 8.9 / MAX: 9.55

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonCore i5 10600K3691215SE +/- 0.03, N = 310.08MIN: 10.01 / MAX: 10.24

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownCore i5 10600K3691215SE +/- 0.1619, N = 39.6817MIN: 9.13 / MAX: 10.18

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownCore i5 10600K246810SE +/- 0.0120, N = 38.5552MIN: 8.49 / MAX: 8.7

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeCore i5 10600K1020304050SE +/- 0.01, N = 345.721. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassCore i5 10600K0.94051.8812.82153.7624.7025SE +/- 0.01, N = 34.181. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeCore i5 10600K510152025SE +/- 0.02, N = 321.471. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassCore i5 10600K0.58951.1791.76852.3582.9475SE +/- 0.00, N = 32.621. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassCore i5 10600K0.06980.13960.20940.27920.349SE +/- 0.00, N = 30.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingCore i5 10600K90180270360450SE +/- 0.44, N = 3415.701. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

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 TracerCore i5 10600K4080120160200SE +/- 0.00, N = 12166.67MIN: 142.86 / MAX: 200

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerCore i5 10600K0.72451.4492.17352.8983.6225SE +/- 0.00, N = 33.22MIN: 3.04 / MAX: 3.31

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisCore i5 10600K3691215SE +/- 0.00, N = 1512.66MIN: 11.76 / MAX: 12.82

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerCore i5 10600K0.26330.52660.78991.05321.3165SE +/- 0.00, N = 31.17MIN: 1.16 / MAX: 1.19

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisCore i5 10600K48121620SE +/- 0.00, N = 315.63MIN: 15.15 / MAX: 16.13

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerCore i5 10600K0.25880.51760.77641.03521.294SE +/- 0.00, N = 31.15MIN: 1.14 / MAX: 1.16

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisCore i5 10600K0.48380.96761.45141.93522.419SE +/- 0.00, N = 32.15MIN: 2.01 / MAX: 2.19

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisCore i5 10600K3691215SE +/- 0.06, N = 313.04MIN: 12.82 / MAX: 13.16

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 1080p 10-bitCore i5 10600K20406080100SE +/- 0.19, N = 3102.86MIN: 67.2 / MAX: 241.151. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pCore i5 10600K110220330440550SE +/- 1.21, N = 3498.75MIN: 442.16 / MAX: 550.081. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCore i5 10600K306090120150SE +/- 0.12, N = 3144.38MIN: 136.45 / MAX: 160.431. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pCore i5 10600K120240360480600SE +/- 0.84, N = 3551.73MIN: 404.84 / MAX: 855.381. (CC) gcc options: -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUCore i5 10600K0.61651.2331.84952.4663.0825SE +/- 0.00279, N = 32.74019MIN: 2.671. (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: CPUCore i5 10600K0.77611.55222.32833.10443.8805SE +/- 0.00501, N = 33.44955MIN: 3.361. (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: CPUCore i5 10600K306090120150SE +/- 0.29, N = 3143.88MIN: 142.441. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i5 10600K80160240320400SE +/- 1.03, N = 3355.47MIN: 352.191. (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: CPUCore i5 10600K0.90031.80062.70093.60124.5015SE +/- 0.00680, N = 34.00137MIN: 3.941. (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: CPUCore i5 10600K1.33922.67844.01765.35686.696SE +/- 0.04969, N = 35.95186MIN: 5.811. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUCore i5 10600K48121620SE +/- 0.02, N = 313.98MIN: 13.581. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUCore i5 10600K246810SE +/- 0.02126, N = 38.36266MIN: 8.311. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUCore i5 10600K1.18592.37183.55774.74365.9295SE +/- 0.02924, N = 35.27087MIN: 5.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUCore i5 10600K48121620SE +/- 0.05, N = 315.36MIN: 15.191. (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: CPUCore i5 10600K714212835SE +/- 0.02, N = 328.19MIN: 27.51. (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 1D - Data Type: u8s8f32 - Engine: CPUCore i5 10600K0.45610.91221.36831.82442.2805SE +/- 0.00380, N = 32.02694MIN: 1.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUCore i5 10600K1530456075SE +/- 0.05, N = 365.31MIN: 63.791. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUCore i5 10600K0.9681.9362.9043.8724.84SE +/- 0.01263, N = 34.30207MIN: 4.191. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

TSCP

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

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceCore i5 10600K200K400K600K800K1000K10240001. (CC) gcc options: -O3 -march=native

Crafty

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

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i5 10600K2M4M6M8M10MSE +/- 6210.15, N = 393839861. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Genetic Algorithm Using Jenetics + FuturesCore i5 10600K30060090012001500SE +/- 8.60, N = 251280.06

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeCore i5 10600K2K4K6K8K10KSE +/- 87.83, N = 208047.05

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database ShootoutCore i5 10600K5001000150020002500SE +/- 28.08, N = 252455.26

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsCore i5 10600K400800120016002000SE +/- 21.36, N = 51894.63

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Savina Reactors.IOCore i5 10600K3K6K9K12K15KSE +/- 188.67, N = 516055.85

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark ALSCore i5 10600K400800120016002000SE +/- 15.51, N = 121840.47

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestCore i5 10600K30060090012001500SE +/- 9.62, N = 51480.70

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Scala DottyCore i5 10600K30060090012001500SE +/- 8.45, N = 51431.16

Java Gradle Build

This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorCore i5 10600K4080120160200SE +/- 0.40, N = 3196.89

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-bitCore i5 10600K612182430SE +/- 0.01, N = 324.011. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 1080pCore i5 10600K20406080100SE +/- 0.24, N = 393.281. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 4KCore i5 10600K612182430SE +/- 0.01, N = 323.941. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pCore i5 10600K1326395265SE +/- 0.03, N = 358.211. (CXX) g++ options: -O3 -lpthread

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterCore i5 10600K48121620SE +/- 0.02, N = 318.041. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverCore i5 10600K714212835SE +/- 0.06, N = 328.081. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteCore i5 10600K306090120150SE +/- 1.51, N = 3131.811. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DCore i5 10600K20406080100SE +/- 0.14, N = 393.121. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDCore i5 10600K70140210280350SE +/- 0.88, N = 3305.111. (CXX) g++ options: -O2 -lOpenCL

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 0.25Backend: BLASCore i5 10600K80160240320400SE +/- 4.00, N = 33811. (CXX) g++ options: -pthread

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore i5 10600K306090120150SE +/- 1.58, N = 3156.12

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRankCore i5 10600K7001400210028003500SE +/- 71.89, N = 213310.90

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark BayesCore i5 10600K140280420560700SE +/- 66.18, N = 24663.02

139 Results Shown

Tesseract OCR
AI Benchmark Alpha:
  Device AI Score
  Device Training Score
  Device Inference Score
Appleseed:
  Material Tester
  Disney Material
  Emily
PyPerformance:
  pickle_pure_python
  django_template
  python_startup
  regex_compile
  crypto_pyaes
  json_loads
  raytrace
  pathlib
  nbody
  float
  chaos
  2to3
  go
Blender:
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
  Fishy Cat - CPU-Only
  Classroom - CPU-Only
  BMW27 - CPU-Only
IndigoBench:
  Supercar
  Bedroom
Chaos Group V-RAY
OCRMyPDF
Darmstadt Automotive Parallel Heterogeneous Suite:
  OpenMP - Euclidean Cluster
  OpenMP - Points2Image
  OpenMP - NDT Mapping
Tachyon
Radiance Benchmark:
  SMP Parallel
  Serial
N-Queens
m-queens
FFmpeg
AOBench
rays1bench
Open Porous Media:
  Flow MPI Norne - 6
  Flow MPI Norne - 4
  Flow MPI Norne - 2
  Flow MPI Norne - 1
YafaRay
Tungsten Renderer:
  Volumetric Caustic
  Non-Exponential
  Water Caustic
  Hair
Smallpt
POV-Ray
C-Ray
Timed Linux Kernel Compilation
libavif avifenc:
  10
  8
  2
  0
asmFish
Stockfish
LuxCoreRender:
  Rainbow Colors and Prism
  DLSC
OpenVKL:
  vklBenchmarkUnstructuredVolume
  vklBenchmarkStructuredVolume
  vklBenchmarkVdbVolume
  vklBenchmark
Intel Open Image Denoise
x265
x264
VP9 libvpx Encoding:
  Speed 5
  Speed 0
SVT-VP9:
  Visual Quality Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 1080p
SVT-HEVC
SVT-AV1:
  Enc Mode 8 - 1080p
  Enc Mode 4 - 1080p
  Enc Mode 0 - 1080p
Embree:
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer - Asian Dragon
  Pathtracer ISPC - Crown
  Pathtracer - Crown
AOM AV1:
  Speed 8 Realtime
  Speed 6 Two-Pass
  Speed 6 Realtime
  Speed 4 Two-Pass
  Speed 0 Two-Pass
TTSIOD 3D Renderer
OSPray:
  Magnetic Reconnection - Path Tracer
  NASA Streamlines - Path Tracer
  Magnetic Reconnection - SciVis
  XFrog Forest - Path Tracer
  NASA Streamlines - SciVis
  San Miguel - Path Tracer
  XFrog Forest - SciVis
  San Miguel - SciVis
dav1d:
  Chimera 1080p 10-bit
  Summer Nature 1080p
  Summer Nature 4K
  Chimera 1080p
oneDNN:
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Deconvolution Batch deconv_3d - u8s8f32 - CPU
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  IP Batch All - u8s8f32 - CPU
  IP Batch 1D - u8s8f32 - CPU
  IP Batch All - f32 - CPU
  IP Batch 1D - f32 - CPU
TSCP
Crafty
Renaissance:
  Genetic Algorithm Using Jenetics + Futures
  Akka Unbalanced Cobwebbed Tree
  In-Memory Database Shootout
  Twitter HTTP Requests
  Savina Reactors.IO
  Apache Spark ALS
  Rand Forest
  Scala Dotty
Java Gradle Build
libgav1:
  Chimera 1080p 10-bit
  Summer Nature 1080p
  Summer Nature 4K
  Chimera 1080p
Rodinia:
  OpenMP Streamcluster
  OpenMP CFD Solver
  OpenMP Leukocyte
  OpenMP HotSpot3D
  OpenMP LavaMD
LeelaChessZero
WireGuard + Linux Networking Stack Stress Test
Renaissance:
  Apache Spark PageRank
  Apache Spark Bayes

Core i5 10600K

Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: DELL P2415Q, Network: Intel

OS: Ubuntu 20.04, Kernel: 5.4.0-40-generic (x86_64), Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 23 July 2020 17:45 by user phoronix.