Intel Core i9 13900K Linux CPU Benchmarks

Benchmarks by Michael Larabel for future article on Phoronix..

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Audio Encoding 5 Tests
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Chess Test Suite 6 Tests
Timed Code Compilation 7 Tests
C/C++ Compiler Tests 24 Tests
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CPU Massive 43 Tests
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Identifier
Performance Per
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Date
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  Test
  Duration
Core i9 11900K
September 10 2022
  1 Day, 3 Hours, 40 Minutes
Core i5 12600K
September 08 2022
  1 Day, 6 Hours, 16 Minutes
Core i9 12900K
September 07 2022
  1 Day, 1 Hour, 39 Minutes
Core i9 13900K
October 24 2022
  22 Hours, 47 Minutes
Ryzen 9 3900X
September 03 2022
  1 Day, 4 Hours, 45 Minutes
Ryzen 9 3950X
September 05 2022
  1 Day, 2 Hours, 14 Minutes
Ryzen 5 5600X
August 28 2022
  1 Day, 10 Hours, 54 Minutes
Ryzen 7 5700G
August 31 2022
  1 Day, 6 Hours, 23 Minutes
Ryzen 7 5800X
September 01 2022
  1 Day, 6 Hours, 59 Minutes
Ryzen 7 5800X3D
August 23 2022
  1 Day, 5 Hours, 35 Minutes
Ryzen 9 5900X
August 24 2022
  1 Day, 42 Minutes
Ryzen 9 5950X
August 21 2022
  1 Day, 3 Hours, 57 Minutes
Ryzen 5 7600X
September 29 2022
  1 Day, 5 Hours, 28 Minutes
Ryzen 7 7700X
September 26 2022
  22 Hours, 18 Minutes
Ryzen 9 7900X
September 14 2022
  1 Day, 22 Minutes
Ryzen 9 7950X
September 15 2022
  23 Hours, 49 Minutes
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  1 Day, 3 Hours, 29 Minutes

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Intel Core i9 13900K Linux CPU BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950XIntel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads)ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS)Intel Device 7aa732GB2000GB Samsung SSD 980 PRO 2TBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)Intel Device 7ad0ASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.0.0-060000rc1daily20220820-generic (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48)1.3.224GCC 12.0.1 20220319ext43840x2160Intel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (0602 BIOS)Intel Device 7a27Realtek ALC897Realtek RTL8125 2.5GbE + Intel Device 7a70AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS)AMD Starship/MatisseAMD Navi 21 HDMI AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (0604 BIOS)AMD Device 14d8ASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseEnvironment Details- CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"Compiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-gcn/usr --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 Disk Details- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Core i9 12900K: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x23 - Thermald 2.4.9- Core i9 13900K: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x10e- Ryzen 9 5950X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016- Ryzen 9 7950X: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Details- OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Details- Python 3.10.4Security Details- Core i9 12900K: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Core i9 13900K: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 9 7950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Core i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950XResult OverviewPhoronix Test Suite100%156%212%268%324%CloverLeafXcompact3d Incompact3dASKAPAI Benchmark AlphaoneDNNIntel Open Image DenoiseLeelaChessZeroHigh Performance Conjugate GradientSVT-VP9PennantAircrack-ngAlgebraic Multi-Grid BenchmarkPrimesieveNAS Parallel BenchmarksGROMACSGPAWNAMDParallel BZIP2 CompressionNode.js Express HTTP Load TestLAMMPS Molecular Dynamics SimulatorSVT-HEVCOSPRaySysbenchNCNNXmrigTimed MrBayes Analysism-queensPHPBenchBlenderNatronStress-NGWireGuard + Linux Networking Stack Stress TestsimdjsonN-QueensTimed LLVM CompilationClickHouseKvazaarLuxCoreRenderPOV-RayStargate Digital Audio WorkstationIndigoBenchTimed Linux Kernel CompilationRedisTTSIOD 3D RendererPyBenchOpenVKLChaos Group V-RAYTimed Gem5 CompilationTimed Godot Game Engine CompilationSVT-AV1Timed FFmpeg CompilationTimed MPlayer CompilationasmFishEtcpakNode.js V8 Web Tooling BenchmarkEmbreeRawTherapeeONNX RuntimeNettleCoremarkHelsingTimed Mesa CompilationTensorFlow LiteOSPRay StudioPyPerformanceHierarchical INTegrationRodiniaQuantLibAOM AV1LuaRadioLiquid-DSPGraphicsMagickASTC EncoderOCRMyPDFx264OpenSSLlibavif avifenclibgav1PyHPC BenchmarksDaCapo BenchmarkAppleseedGNU RadioG'MICWebP2 Image EncodeBork File Encrypterx265ctx_clockZstd CompressionWavPack Audio EncodingOpenSCADSecureMarkFinanceBenchChia Blockchain VDFInkscapeSeleniumCraftySQLite SpeedtesteSpeak-NG Speech EngineNebular Empirical Analysis ToolRNNoiseLZ4 CompressionCryptsetupC-BloscTSCPGEGLNgspiceGoogle DracoGNU Octave BenchmarkTimed HMMer SearchLibRawGIMPUnpacking The Linux KernelOpus Codec EncodingUnpacking FirefoxTNNVOSK Speech Recognition ToolkitVP9 libvpx EncodingGzip Compressionlibjpeg-turbo tjbenchLAME MP3 EncodingFLAC Audio EncodingWebP Image Encode

Core i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950XPer Watt Result OverviewPhoronix Test Suite100%173%245%318%391%ASKAPNode.js Express HTTP Load TestNettleTSCPGNU RadioGROMACSSVT-VP9PHPBenchHierarchical INTegrationAircrack-ngSeleniumAI Benchmark AlphaQuantLibNAS Parallel BenchmarksRedisLeelaChessZeroHigh Performance Conjugate GradientAlgebraic Multi-Grid BenchmarkSecureMarkNode.js V8 Web Tooling BenchmarkChia Blockchain VDFAOM AV1CryptsetupsimdjsonCraftyLAMMPS Molecular Dynamics SimulatorC-Blosclibjpeg-turbo tjbenchLibRawLZ4 CompressionClickHouseXmrigIndigoBenchlibgav1LuxCoreRenderKvazaarSVT-HEVCONNX RuntimeSysbenchasmFishOSPRayEmbreeSVT-AV1Zstd CompressionASTC EncoderChaos Group V-RAYNatronx264LuaRadioOpenVKLIntel Open Image DenoiseTTSIOD 3D RendererVP9 libvpx EncodingOpenSSLStress-NGx265GraphicsMagickStargate Digital Audio WorkstationLiquid-DSPEtcpakCoremarkP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

Intel Core i9 13900K Linux CPU Benchmarksai-benchmark: Device Training Scoreaskap: tConvolve MT - Griddingonednn: Recurrent Neural Network Inference - f32 - CPUcloverleaf: Lagrangian-Eulerian Hydrodynamicsonednn: Recurrent Neural Network Inference - u8s8f32 - CPUincompact3d: input.i3d 129 Cells Per Directionaskap: tConvolve MT - Degriddingincompact3d: input.i3d 193 Cells Per Directionai-benchmark: Device AI Scoreaskap: Hogbom Clean OpenMPaskap: tConvolve OpenMP - Degriddinglczero: Eigennpb: SP.Bsvt-vp9: VMAF Optimized - Bosphorus 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Knpb: MG.Coidn: RT.ldr_alb_nrm.3840x2160oidn: RT.hdr_alb_nrm.3840x2160askap: tConvolve OpenMP - Griddinglczero: BLASonednn: Recurrent Neural Network Training - f32 - CPUospray: gravity_spheres_volume/dim_512/scivis/real_timeonednn: Recurrent Neural Network Training - u8s8f32 - CPUospray: gravity_spheres_volume/dim_512/ao/real_timehpcg: ai-benchmark: Device Inference Scorepennant: leblancbigncnn: CPU - vgg16svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 4Kaircrack-ng: gnuradio: Hilbert Transformnpb: IS.Dsvt-hevc: 10 - Bosphorus 4Knpb: BT.Camg: primesieve: 1e12ncnn: CPU - resnet18ncnn: CPU - resnet50npb: EP.Csvt-vp9: Visual Quality Optimized - Bosphorus 1080pgromacs: MPI CPU - water_GMX50_baregpaw: Carbon Nanotubeluaradio: Hilbert Transformnpb: LU.Cetcpak: Multi-Threaded - ETC2ospray: gravity_spheres_volume/dim_512/pathtracer/real_timenamd: ATPase Simulation - 327,506 Atomscompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionsvt-hevc: 10 - Bosphorus 1080pnode-express-loadtest: lammps: 20k Atomslammps: Rhodopsin Proteinnettle: aes256simdjson: DistinctUserIDsvt-av1: Preset 12 - Bosphorus 4Krodinia: OpenMP CFD Solverluxcorerender: Danish Mood - CPUindigobench: CPU - Bedroomgraphics-magick: Resizingncnn: CPU - alexnetsysbench: CPUxmrig: Wownero - 1Mluxcorerender: LuxCore Benchmark - CPUsimdjson: TopTweetsimdjson: PartialTweetstensorflow-lite: Inception V4svt-hevc: 7 - Bosphorus 4Kblender: Classroom - CPU-Onlystargate: 44100 - 1024blender: Fishy Cat - CPU-Onlydacapobench: Jythonmrbayes: Primate Phylogeny Analysisblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyospray-studio: 1 - 4K - 1 - Path Tracerm-queens: Time To Solvestargate: 44100 - 512ospray-studio: 2 - 4K - 1 - Path Tracerembree: Pathtracer - Crowntensorflow-lite: Mobilenet Floatospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerphpbench: PHP Benchmark Suiteospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerbuild-llvm: Ninjaospray-studio: 1 - 4K - 16 - Path Tracerembree: Pathtracer ISPC - Crownospray-studio: 3 - 4K - 16 - Path Tracerliquid-dsp: 32 - 256 - 57ospray-studio: 2 - 4K - 16 - Path Tracerkvazaar: Bosphorus 1080p - Very Fastgmic: 2D Function Plotting, 1000 Timesstress-ng: NUMAkvazaar: Bosphorus 1080p - Ultra Fastwireguard: pyperformance: chaosn-queens: Elapsed Timeclickhouse: 100M Rows Web Analytics Dataset, Third Runsvt-av1: Preset 10 - Bosphorus 4Kluxcorerender: DLSC - CPUstargate: 480000 - 512clickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheclickhouse: 100M Rows Web Analytics Dataset, Second Runkvazaar: Bosphorus 4K - Ultra Fastospray: particle_volume/scivis/real_timepovray: Trace Timeluaradio: FM Deemphasis Filternettle: poly1305-aesaom-av1: Speed 9 Realtime - Bosphorus 4Kredis: SET - 50build-llvm: Unix Makefilesbuild-linux-kernel: allmodconfigsvt-av1: Preset 8 - Bosphorus 4Kstargate: 480000 - 1024pyperformance: pickle_pure_pythonospray: particle_volume/ao/real_timeaom-av1: Speed 10 Realtime - Bosphorus 4Kastcenc: Exhaustivepyperformance: crypto_pyaesopenssl: SHA256compress-zstd: 19 - Compression Speedbuild-linux-kernel: defconfigblender: BMW27 - CPU-Onlyttsiod-renderer: Phong Rendering With Soft-Shadow Mappingpybench: Total For Average Test Timesv-ray: CPUsvt-av1: Preset 12 - Bosphorus 1080ppyperformance: regex_compilesimdjson: Kostyakvazaar: Bosphorus 4K - Very Faststargate: 96000 - 1024build-gem5: Time To Compilecryptsetup: PBKDF2-whirlpoolbuild-godot: Time To Compilegraphics-magick: Noise-Gaussianembree: Pathtracer ISPC - Asian Dragonbuild-ffmpeg: Time To Compilesvt-hevc: 7 - Bosphorus 1080pbuild-mplayer: Time To Compileaom-av1: Speed 8 Realtime - Bosphorus 4Kpyperformance: raytraceliquid-dsp: 16 - 256 - 57asmfish: 1024 Hash Memory, 26 Depthpyperformance: nbodyavifenc: 6appleseed: Emilyluxcorerender: Orange Juice - CPUnode-web-tooling: onnx: GPT-2 - CPU - Standardtensorflow-lite: SqueezeNetrawtherapee: Total Benchmark Timenpb: CG.Cdacapobench: Tradebeanshelsing: 14 digitcoremark: CoreMark Size 666 - Iterations Per Secondsvt-av1: Preset 10 - Bosphorus 1080pastcenc: Thoroughpyhpc: CPU - Numpy - 4194304 - Equation of Stateospray: particle_volume/pathtracer/real_timebuild-mesa: Time To Compilecompress-zstd: 19, Long Mode - Compression Speedpyperformance: 2to3graphics-magick: Enhancedsvt-av1: Preset 8 - Bosphorus 1080pappleseed: Disney Materialindigobench: CPU - Supercarhint: FLOATrodinia: OpenMP LavaMDpyperformance: json_loadschia-vdf: Square Assembly Optimizedliquid-dsp: 8 - 256 - 57quantlib: pyperformance: pathlibselenium: Speedometer - Firefoxcompress-zstd: 8, Long Mode - Compression Speedliquid-dsp: 2 - 256 - 57x264: Bosphorus 4Kx265: Bosphorus 1080psimdjson: LargeRandsvt-av1: Preset 4 - Bosphorus 4Kliquid-dsp: 4 - 256 - 57ocrmypdf: Processing 60 Page PDF Documentavifenc: 0selenium: ARES-6 - Firefoxavifenc: 6, Losslessnettle: chachagnuradio: FM Deemphasis Filtercryptsetup: AES-XTS 512b Decryptionavifenc: 2liquid-dsp: 1 - 256 - 57cryptsetup: AES-XTS 512b Encryptionstargate: 96000 - 512webp2: Quality 100, Lossless Compressionwebp2: Quality 75, Compression Effort 7compress-lz4: 1 - Decompression Speedopenvkl: vklBenchmark Scalarselenium: Speedometer - Google Chromex264: Bosphorus 1080plibgav1: Summer Nature 4Kpyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingopenssl: RSA4096compress-lz4: 3 - Decompression Speedwebp2: Quality 95, Compression Effort 7openssl: RSA4096compress-lz4: 9 - Decompression Speedwebp2: Quality 100, Compression Effort 5selenium: ARES-6 - Google Chromeluxcorerender: Rainbow Colors and Prism - CPUembree: Pathtracer - Asian Dragonfinancebench: Repo OpenMPbork: File Encryption Timetnn: CPU - DenseNetcompress-lz4: 1 - Compression Speedcompress-zstd: 3, Long Mode - Compression Speedcryptsetup: Twofish-XTS 512b Decryptioncryptsetup: Twofish-XTS 256b Encryptioncryptsetup: Twofish-XTS 512b Encryptioncryptsetup: Twofish-XTS 256b Decryptionctx-clock: Context Switch Timeselenium: WASM imageConvolute - Firefoxngspice: C2670x265: Bosphorus 4Kgmic: Plotting Isosurface Of A 3D Volume, 1000 Timesselenium: WASM imageConvolute - Google Chromeblosc: blosclz shuffleastcenc: Mediumsvt-av1: Preset 4 - Bosphorus 1080popenscad: Pistolappleseed: Material Testergegl: Reflectencode-wavpack: WAV To WavPackwebp2: Defaultcryptsetup: AES-XTS 256b Decryptionopenscad: Leonardo Phone Case Slimavifenc: 10, Losslesssecuremark: SecureMark-TLSgegl: Tile Glassopenscad: Mini-ITX Casecryptsetup: PBKDF2-sha512cryptsetup: AES-XTS 256b Encryptionselenium: Jetstream 2 - Google Chromeselenium: Jetstream 2 - Firefoxluaradio: Five Back to Back FIR Filtersinkscape: SVG Files To PNGpyperformance: python_startupgimp: rotatecrafty: Elapsed Timesqlite-speedtest: Timed Time - Size 1,000etcpak: Single-Threaded - ETC2gegl: Color Enhanceespeak: Text-To-Speech Synthesisfinancebench: Bonds OpenMPselenium: Kraken - Google Chromechia-vdf: Square Plain C++neat: rnnoise: gegl: Antialiasgimp: unsharp-maskluaradio: Complex Phasetscp: AI Chess Performanceselenium: Kraken - Firefoxvpxenc: Speed 5 - Bosphorus 1080ptnn: CPU - SqueezeNet v2compress-zstd: 3, Long Mode - Decompression Speedaom-av1: Speed 8 Realtime - Bosphorus 1080pgnuradio: FIR Filtercompress-zstd: 8 - Decompression Speedrodinia: OpenMP Leukocytevpxenc: Speed 0 - Bosphorus 1080pgimp: auto-levelsdraco: Liondraco: Church Facadetnn: CPU - SqueezeNet v1.1compress-zstd: 19, Long Mode - Decompression Speedcryptsetup: Serpent-XTS 512b Encryptiongnuradio: Signal Source (Cosine)cryptsetup: Serpent-XTS 256b Encryptionselenium: WASM collisionDetection - Firefoxgegl: Wavelet Bluroctave-benchmark: gnuradio: IIR Filterhmmer: Pfam Database Searchblosc: blosclz bitshufflecompress-zstd: 8, Long Mode - Decompression Speedlibraw: Post-Processing Benchmarkgegl: Scalenettle: sha512unpack-linux: linux-5.19.tar.xzgmic: 3D Elevated Function In Rand Colors, 100 Timescompress-zstd: 19 - Decompression Speedgraphics-magick: HWB Color Spaceencode-opus: WAV To Opus Encodeunpack-firefox: firefox-84.0.source.tar.xzvosk: dacapobench: H2gegl: Rotate 90 Degreestnn: CPU - MobileNet v2compress-gzip: Linux Source Tree Archiving To .tar.gzcryptsetup: Serpent-XTS 512b Decryptionvpxenc: Speed 5 - Bosphorus 4Kcryptsetup: Serpent-XTS 256b Decryptionngspice: C7552selenium: PSPDFKit WASM - Google Chrometjbench: Decompression Throughputencode-mp3: WAV To MP3encode-flac: WAV To FLACcompress-lz4: 9 - Compression Speedwebp: Quality 100, Highest Compressionselenium: PSPDFKit WASM - Firefoxgimp: resizexmrig: Monero - 1Mnpb: FT.Cpennant: sedovbigredis: GET - 500redis: GET - 50redis: SET - 500onnx: ArcFace ResNet-100 - CPU - Standardonnx: yolov4 - CPU - Standardtensorflow-lite: Mobilenet Quantncnn: CPU - vision_transformerncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - mobilenetaom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 1080pcompress-lz4: 3 - Compression Speedcompress-zstd: 8 - Compression Speedopenvkl: vklBenchmark ISPCnatron: Spaceshipselenium: WASM collisionDetection - Google ChromeCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X26122631.501610.1152.161616.0614.52250813794.6455.50841404185563.7107793.77194919988.28122.21127.7626772.390.340.344565.1419962877.824.020392890.624.1752510.4884157328.7645323.18416.59410.65100.0452600.4311111.71164.41157.2648847.7843185726713.2765.7011.111543.52338.341.740192.078218.550310.043598.0945.387020.873164.911502.76155049.6159.76912396.887.56185.1289.0942.553.14016494.0963423.1611431.12.907.497.4222748.082.77236.435.427824117.581860110.861874.54296.75606846.2155.239492620819.18801154.9519940720326714586617274237196363.24310102520.96361202001241733333103378105.9358.217521.29197.62105.23349.69.209267.02127.8443.235.495507256.35263.9353.418.0029222.896567.15055.4198.274032945.42388.726629.49766.5465.8537352107.76694100.301.271754.92420704484052.954.20782.951139.4750920821600.33288.04.8029.814.549003249.901118483869.06343926.161029.286241.8820.99871.0422412226666675371876565.35.623213.8339165.4321.22110801654.5735.4518532.372039290.781731893.512707360.11013.29561.124185.53230.79845.9170468163.327114.697538.619686869216.14705118.27712.92518677505170004700.69.532631191.820572333352.7985.091.722.66840538333310.93294.05619.307.2531649.441089.75669.044.1941050233335613.74.569738499.775101.66614571.259355214.77108.451.792279286.613651.8219.6104301.313773.42.9507.9614.0023.457821381.3880215.3312640.72613277.261465.8631.0624.6625.9630.915116.562.37129.808.83917.1122880.9102.17267.62454.490115.77145818.70911.2041.9616178.49.6253.74439330318.11423.97925648046111.5307.940182.9211713.616.4235.459.9881303462036.025316.23636.67818.74134364.959635395.022696721.93916.04923.54112.464871.01997945612.247.7044.6075486.4181.301130.95326.759.40520.6110.53731864484221.3164772.7902.25161.2900.6250.239.0884.624594.690.77613408.85681.880.445.827792.735.35436.4724618.515194.90313.29014.854186434.165222.97427.904931.421.44931.056.4012355292.1644265.13110.89077.115.213217713.2777327.120375.92174.09715268469.05247897.34054462.1719806872224.15152.898.9013.878.30218.43240.8979.06991.31364.6200.6635082816.291044.2242.111042.7911.07169344149.4550.83310325532636.9439509.14206621531.78145.98155.4725240.050.570.577166.3011552018.595.517742015.945.7144610.1965202426.2305219.13539.34524.69130.3069910.8231210.21257.39204.3952156.4145521766710.6065.389.263275.98447.731.479176.053251.454068.114602.5697.240920.576903.415680.351629417.86818.10113631.297.78213.8166.0853.804.30522564.21109404.8916997.84.287.877.8718793.7116.21152.386.32024576.701738115.489596.14190.35460130.0886.040114471626.9334951.57315010115322715897935522179419250.0507537328.600489349188210000076905152.2452.489774.86281.6592.55645.85.932317.39148.0844.516.009902308.40309.8075.7010.133615.038748.95549.96111.224568378.3278.257437.58080.0556.19700219310.1475112.011.725749.83820669113380.837.99352.941644.6846630518671.22881.95.2240.414.806556182.114129882150.13262635.204420.824347.4114.57984.1420913957333338202247259.74.079155.458837.4823.79105501471.2130.1578550.191676215.6871104577.982027418.90417.88751.032226.65724.89854.3154673187.85480.86942312.769754084011.9454379.65912.22704008936000005172.68.723061543.322923666771.5890.551.873.0684471166678.74168.70616.905.5111799.811195.76440.733.7681143566676456.84.764746374.48376.98713885.183396262.03125.111.692378571.913439.2163.3125815.613642.82.2847.0819.4531.914119350.2656254.8512267.39113095.741642.0695.3688.9689.7695.613115.352.71435.198.18315.6325764.4138.95318.35849.72985.50501617.12010.1811.5987044.38.7823.24043075316.88721.89428174917041.6340.821206.7211990.814.8784.919.3031414674532.576347.43132.60516.27930963.164713355.724850018.32214.43121.93011.721972.12184224545.551.3840.5605875.5208.771224.75785.649.98022.379.94631604135204.4005205.1996.35720.1994.0225.836.5444.485645.886.30314657.76150.490.225.571900.854.82733.1825061.916394.43811.94013.652173632.045200.00924.9241028.124.911027.753.3052184320.5932934.56510.01783.134.664209712.6929531.723533.02133.24425513026.36254103.54225271.425986851916.99109.268.4612.407.68266.22283.0183.751613.71716.0190.301132782.3151908.16136.451895.5934.89059321346.71156.3720302527214.4783247.027327766.3452.7156.899870.320.560.562740.937662944.653.080772890.533.256684.24462139560.4121745.65228.04223.6255.8370092.234538.1627.5593.0723905.1020976993310.62011.6319.771851.10216.941.261302.840127.327848.164908.0214.932651.099185.239363.74874512.61712.7307358.245.70117.48810.9893.004.07621427.1990823.4613608.03.235.775.6629906.467.21211.156.933557101.84297194.320800.97262.44623531.4776.694456630823.56271604.122040252069539440227376241465419.62010391622.18781226691128200000105236125.9486.587469.87225.21152.38375.47.023201.0790.6533.536.550401191.07200.8556.686.3029924.148466.83464.4169.442854310.58444.672699.23553.0836.6742373076.3863570.581.302578.72470832277351.359.75979.951047.3473021085458.8231223.8531.424.986759281.77784020677.43749322.879432.010226.0222.40854.7732110655000006003499691.35.920192.0080265.6815.6472902233.0645.7687115.712400291.007764912.632031309.30413.05201.001167.10337.37036.2231449144.211118.7568098.579506855987.14963111.21517.51825006045100003513.212.8208.51278.315655000052.3289.041.282.44630666666712.74099.78924.587.8111239.20823.54436.348.951791580004469.94.789527482.231110.38613713.558277206.2187.691.906313501.413240.7224.9224808.313290.43.2099.9115.1424.494426975.5950526.3632403.77112281.831397.5510.4501.0501.8511.217021.072.33226.8111.16621.3019582.0108.49487.38467.460114.4519123.12010.1262.0555245.911.7794.02332142522.57129.22522413665291.2256.787156.1611642.218.2755.8811.3421149756142.676293.66442.61921.27440456.299479463.320996723.80514.14528.42015.131805.91952692648.540.2151.7474897.7166.361133.44723.063.32818.1812.45639755198204.6404172.1942.34590.9942.4280.945.3985.141524.895.61413600.55127.678.286.825738.775.36140.3914240.516315.38113.43814.302209338.579220.29529.957926.323.02928.463.4442599278.3142285.15311.87670.895.317233813.6667291.211677.6884.466453667889.483554631.932895581.216794602072.4289.4518.4320.9910.76186.38197.9072.211235.31063.7252.0441632056.93584.15447.81585.07515.02342822753.5069.32393397522440.9256051.27174820281.00113.07121.7823041.520.900.905873.9216691141.657.905171145.578.047658.04153335925.2615124.23456.66446.85109.76118827.708755.51392.72170.8048477.344190559676.1337.4212.003124.98393.272.587153.151159.554684.856950.6469.493380.774322.792600.021401417.91517.7338462.6310.47205.4928.4554.585.59129034.82111000.8919993.25.0610.069.8217282.6105.88137.289.34687568.73226767.618512.22174.08365927.1808.899776372832.35721060.4212108512288512154004382143765261.6946197835.127873440171870000063139176.2768.550758.97325.67136.78753.05.601329.27147.2585.278.966020311.71327.5686.107.9528516.608535.84191.28105.124246231.95295.620445.71884.7679.3164682197.99220103.372.016559.13610817797080.439.27152.821332.5458932597714.09278.45.9846.227.050785191.055103004351.44067735.237822.001336.3214.93679.5724416348666678236694777.23.878140.1122368.2620.3589871525.2631.51110767.541589192.715914495.896473465.73219.63580.748251.10131.30954.0164652215.93579.46714212.400641509224.0489980.27811.82277678292933334487.69.99291.21748.421447333376.51124.321.793.5734313933339.06468.60618.655.3751511.60943.65633.934.4441082800005602.56.593179348.27777.71519656.776374294.70114.001.338397437.518742.7158.9936083.218685.02.2947.3819.5832.787220086.3170574.5831904.96217017.251928.4702.8685.7686.1702.618017.655.95336.599.27217.8426659.9135.576410.03554.28691.32405119.0248.3261.5306754.59.5983.00142716418.88423.90329832316746.3323.162193.4552167.813.8514.478.6321508542034.409384.27734.08317.66931935.990234357.627290019.18512.38023.94512.3001036.62503735506.249.7343.3246225.6211.341434.95985.852.14323.029.89434854428177.1595148.31124.35171.61122.1241.838.5734.176584.777.70016493.76286.095.955.961860.674.40135.6815152.318444.53411.10112.303177434.708185.26625.9551113.125.761111.854.6292504331.1520164.33310.17077.064.710210412.32712299.426872.0536.149275616058.15214718.54142316.4218045261527.5239.7912.1513.748.51258.13265.0677.802193.41996.2216.51OpenBenchmarking.org

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 Training ScoreCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X90018002700360045002612350811324163
OpenBenchmarking.orgScore Per Core, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Core - Device Training ScoreCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X60120180240300163.25146.1770.75260.191. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgScore Per Thread, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Thread - Device Training ScoreCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150108.83109.6335.38130.091. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X6001200180024003000SE +/- 0.96, N = 3SE +/- 2.71, N = 3SE +/- 0.22, N = 3SE +/- 14.44, N = 152631.502816.29782.322056.931. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second Per Core, More Is BetterASKAP 1.0Performance Per Core - Test: tConvolve MT - GriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X4080120160200164.47117.3548.89128.561. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgMillion Grid Points Per Second Per Thread, More Is BetterASKAP 1.0Performance Per Thread - Test: tConvolve MT - GriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X20406080100109.6588.0124.4564.281. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X5001000150020002500Min: 2629.69 / Avg: 2631.5 / Max: 2632.94Min: 2811.94 / Avg: 2816.29 / Max: 2821.26Min: 782.03 / Avg: 782.32 / Max: 782.75Min: 1915.08 / Avg: 2056.93 / Max: 2113.141. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X400800120016002000SE +/- 1.36, N = 3SE +/- 12.25, N = 3SE +/- 17.71, N = 7SE +/- 0.16, N = 31610.111044.221908.16584.15MIN: 1602.9MIN: 1015.86MIN: 1803.11MIN: 580.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.6Performance Per Core - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X7K14K21K28K35K25761.7625061.2830530.569346.461. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetteroneDNN 2.6Performance Per Thread - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X13K26K39K52K65K38642.6433415.0461061.1218692.931. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X30060090012001500Min: 1607.39 / Avg: 1610.11 / Max: 1611.51Min: 1019.72 / Avg: 1044.22 / Max: 1056.67Min: 1812.49 / Avg: 1908.16 / Max: 1949.64Min: 583.84 / Avg: 584.15 / Max: 584.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150SE +/- 0.51, N = 3SE +/- 0.21, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 352.1642.11136.4547.811. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterCloverLeafPerformance Per Core - Lagrangian-Eulerian HydrodynamicsCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X5001000150020002500834.561010.642183.20764.961. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterCloverLeafPerformance Per Thread - Lagrangian-Eulerian HydrodynamicsCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X90018002700360045001251.841347.524366.401529.921. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150Min: 51.26 / Avg: 52.16 / Max: 53.03Min: 41.7 / Avg: 42.11 / Max: 42.43Min: 136.19 / Avg: 136.45 / Max: 136.88Min: 47.8 / Avg: 47.81 / Max: 47.821. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X400800120016002000SE +/- 1.33, N = 3SE +/- 11.62, N = 3SE +/- 22.48, N = 3SE +/- 0.48, N = 31616.061042.791895.59585.08MIN: 1605.92MIN: 1015.71MIN: 1858.98MIN: 581.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.6Performance Per Core - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X6K12K18K24K30K25856.9625026.9630329.449361.201. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetteroneDNN 2.6Performance Per Thread - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X13K26K39K52K65K38785.4433369.2860658.8818722.401. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X30060090012001500Min: 1613.8 / Avg: 1616.06 / Max: 1618.4Min: 1019.58 / Avg: 1042.79 / Max: 1055.4Min: 1867.54 / Avg: 1895.59 / Max: 1940.04Min: 584.23 / Avg: 585.08 / Max: 585.891. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

Xcompact3d Incompact3d

Xcompact3d 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 BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X816243240SE +/- 0.01, N = 4SE +/- 0.04, N = 5SE +/- 0.31, N = 3SE +/- 0.06, N = 414.5211.0734.8915.021. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Performance Per Core - Input: input.i3d 129 Cells Per DirectionCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X120240360480600232.36265.72558.25240.381. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Performance Per Thread - Input: input.i3d 129 Cells Per DirectionCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X2004006008001000348.54354.291116.50480.751. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X714212835Min: 14.5 / Avg: 14.52 / Max: 14.56Min: 10.94 / Avg: 11.07 / Max: 11.16Min: 34.27 / Avg: 34.89 / Max: 35.24Min: 14.91 / Avg: 15.02 / Max: 15.171. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X9001800270036004500SE +/- 5.20, N = 3SE +/- 3.75, N = 3SE +/- 0.63, N = 3SE +/- 9.81, N = 153794.644149.451346.712753.501. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second Per Core, More Is BetterASKAP 1.0Performance Per Core - Test: tConvolve MT - DegriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X50100150200250237.17172.8984.17172.091. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgMillion Grid Points Per Second Per Thread, More Is BetterASKAP 1.0Performance Per Thread - Test: tConvolve MT - DegriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150158.11129.6742.0886.051. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X7001400210028003500Min: 3785.63 / Avg: 3794.64 / Max: 3803.66Min: 4142.05 / Avg: 4149.45 / Max: 4154.16Min: 1345.79 / Avg: 1346.71 / Max: 1347.92Min: 2688.61 / Avg: 2753.5 / Max: 2788.931. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Xcompact3d Incompact3d

Xcompact3d 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 BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.77, N = 355.5150.83156.3769.321. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Performance Per Core - Input: input.i3d 193 Cells Per DirectionCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X5001000150020002500888.141219.992501.951109.181. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Performance Per Thread - Input: input.i3d 193 Cells Per DirectionCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X110022003300440055001332.201626.665003.912218.371. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150Min: 55.44 / Avg: 55.51 / Max: 55.63Min: 50.78 / Avg: 50.83 / Max: 50.89Min: 156.12 / Avg: 156.37 / Max: 156.61Min: 68.25 / Avg: 69.32 / Max: 70.821. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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 i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X160032004800640080004185553225277522
OpenBenchmarking.orgScore Per Core, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Core - Device AI ScoreCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X100200300400500261.56230.50157.94470.131. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgScore Per Thread, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Thread - Device AI ScoreCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X50100150200250174.38172.8878.97235.061. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X140280420560700SE +/- 1.28, N = 5SE +/- 0.00, N = 5SE +/- 0.22, N = 4SE +/- 0.96, N = 5563.71636.94214.48440.931. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgIterations Per Second Per Core, More Is BetterASKAP 1.0Performance Per Core - Test: Hogbom Clean OpenMPCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X81624324035.2326.5413.4027.561. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgIterations Per Second Per Thread, More Is BetterASKAP 1.0Performance Per Thread - Test: Hogbom Clean OpenMPCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X61218243023.4919.906.7013.781. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X110220330440550Min: 561.8 / Avg: 563.71 / Max: 568.18Min: 636.94 / Avg: 636.94 / Max: 636.94Min: 214.13 / Avg: 214.48 / Max: 215.05Min: 438.6 / Avg: 440.93 / Max: 444.441. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X2K4K6K8K10KSE +/- 37.29, N = 6SE +/- 0.00, N = 6SE +/- 0.00, N = 6SE +/- 0.00, N = 67793.779509.143247.026051.271. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second Per Core, More Is BetterASKAP 1.0Performance Per Core - Test: tConvolve OpenMP - DegriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X110220330440550487.11396.21202.94378.201. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgMillion Grid Points Per Second Per Thread, More Is BetterASKAP 1.0Performance Per Thread - Test: tConvolve OpenMP - DegriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X70140210280350324.74297.16101.47189.101. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X17003400510068008500Min: 7607.31 / Avg: 7793.77 / Max: 7831.06Min: 9509.14 / Avg: 9509.14 / Max: 9509.14Min: 3247.02 / Avg: 3247.02 / Max: 3247.02Min: 6051.27 / Avg: 6051.27 / Max: 6051.271. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 0.28Backend: EigenCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X400800120016002000SE +/- 12.34, N = 3SE +/- 9.28, N = 3SE +/- 7.03, N = 6SE +/- 22.61, N = 31949206673217481. (CXX) g++ options: -flto -O3 -march=native -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.28Performance Per Core - Backend: EigenCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150121.8186.0845.75109.251. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgNodes Per Second Per Thread, More Is BetterLeelaChessZero 0.28Performance Per Thread - Backend: EigenCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X2040608010081.2164.5622.8854.631. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X400800120016002000Min: 1932 / Avg: 1949 / Max: 1973Min: 2054 / Avg: 2065.67 / Max: 2084Min: 710 / Avg: 732 / Max: 755Min: 1711 / Avg: 1748 / Max: 17891. (CXX) g++ options: -flto -O3 -march=native -pthread

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X5K10K15K20K25KSE +/- 142.05, N = 3SE +/- 262.60, N = 3SE +/- 1.69, N = 3SE +/- 32.32, N = 319988.2821531.787766.3420281.001. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s Per Core, More Is BetterNAS Parallel Benchmarks 3.4Performance Per Core - Test / Class: SP.BCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X300600900120015001249.27897.16485.401267.561. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgTotal Mop/s Per Thread, More Is BetterNAS Parallel Benchmarks 3.4Performance Per Thread - Test / Class: SP.BCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X2004006008001000832.85672.87242.70633.781. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X4K8K12K16K20KMin: 19730.24 / Avg: 19988.28 / Max: 20220.22Min: 21182.31 / Avg: 21531.78 / Max: 22046.05Min: 7763.62 / Avg: 7766.34 / Max: 7769.44Min: 20216.38 / Avg: 20281 / Max: 20314.991. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

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 YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150SE +/- 0.08, N = 7SE +/- 0.16, N = 7SE +/- 0.05, N = 4SE +/- 0.10, N = 7122.21145.9852.71113.071. (CC) gcc options: -O3 -fcommon -march=native -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-VP9 0.3Performance Per Core - Tuning: VMAF Optimized - Input: Bosphorus 4KCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X2468107.646.083.297.071. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgFrames Per Second Per Thread, More Is BetterSVT-VP9 0.3Performance Per Thread - Tuning: VMAF Optimized - Input: Bosphorus 4KCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X1.14532.29063.43594.58125.72655.094.561.653.531. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150Min: 121.97 / Avg: 122.21 / Max: 122.52Min: 145.25 / Avg: 145.98 / Max: 146.49Min: 52.61 / Avg: 52.71 / Max: 52.83Min: 112.61 / Avg: 113.07 / Max: 113.321. (CC) gcc options: -O3 -fcommon -march=native -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150SE +/- 0.06, N = 7SE +/- 0.09, N = 8SE +/- 0.04, N = 5SE +/- 0.11, N = 7127.76155.4756.89121.781. (CC) gcc options: -O3 -fcommon -march=native -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Core, More Is BetterSVT-VP9 0.3Performance Per Core - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X2468107.996.483.567.611. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgFrames Per Second Per Thread, More Is BetterSVT-VP9 0.3Performance Per Thread - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X1.1972.3943.5914.7885.9855.324.861.783.811. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150Min: 127.57 / Avg: 127.76 / Max: 127.98Min: 154.99 / Avg: 155.47 / Max: 155.88Min: 56.78 / Avg: 56.89 / Max: 56.98Min: 121.2 / Avg: 121.78 / Max: 122.111. (CC) gcc options: -O3 -fcommon -march=native -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X6K12K18K24K30KSE +/- 22.00, N = 6SE +/- 247.23, N = 6SE +/- 6.81, N = 3SE +/- 13.53, N = 626772.3925240.059870.3223041.521. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s Per Core, More Is BetterNAS Parallel Benchmarks 3.4Performance Per Core - Test / Class: MG.CCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X4008001200160020001673.271051.67616.901440.101. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgTotal Mop/s Per Thread, More Is BetterNAS Parallel Benchmarks 3.4Performance Per Thread - Test / Class: MG.CCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X20040060080010001115.52788.75308.45720.051. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X5K10K15K20K25KMin: 26673.41 / Avg: 26772.39 / Max: 26833.08Min: 24457.63 / Avg: 25240.05 / Max: 25701.98Min: 9862.11 / Avg: 9870.32 / Max: 9883.84Min: 22998.87 / Avg: 23041.52 / Max: 230921. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160Core i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X0.20250.4050.60750.811.0125SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.340.570.560.90
OpenBenchmarking.orgImages / Sec Per Core, More Is BetterIntel Open Image Denoise 1.4.0Performance Per Core - Run: RT.ldr_alb_nrm.3840x2160Core i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X0.01270.02540.03810.05080.06350.02130.02380.03500.05631. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgImages / Sec Per Thread, More Is BetterIntel Open Image Denoise 1.4.0Performance Per Thread - Run: RT.ldr_alb_nrm.3840x2160Core i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X0.00630.01260.01890.02520.03150.01420.01780.01750.02811. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160Core i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X246810Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.56 / Avg: 0.56 / Max: 0.56Min: 0.9 / Avg: 0.9 / Max: 0.9

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160Core i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X0.20250.4050.60750.811.0125SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.340.570.560.90
OpenBenchmarking.orgImages / Sec Per Core, More Is BetterIntel Open Image Denoise 1.4.0Performance Per Core - Run: RT.hdr_alb_nrm.3840x2160Core i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X0.01270.02540.03810.05080.06350.02130.02380.03500.05631. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgImages / Sec Per Thread, More Is BetterIntel Open Image Denoise 1.4.0Performance Per Thread - Run: RT.hdr_alb_nrm.3840x2160Core i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X0.00630.01260.01890.02520.03150.01420.01780.01750.02811. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160Core i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X246810Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.56 / Avg: 0.56 / Max: 0.56Min: 0.9 / Avg: 0.9 / Max: 0.9

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X15003000450060007500SE +/- 26.30, N = 6SE +/- 59.54, N = 6SE +/- 20.19, N = 6SE +/- 27.12, N = 64565.147166.302740.935873.921. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second Per Core, More Is BetterASKAP 1.0Performance Per Core - Test: tConvolve OpenMP - GriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X80160240320400285.32298.60171.31367.121. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgMillion Grid Points Per Second Per Thread, More Is BetterASKAP 1.0Performance Per Thread - Test: tConvolve OpenMP - GriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X50100150200250190.21223.9585.65183.561. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X12002400360048006000Min: 4512.81 / Avg: 4565.14 / Max: 4671.16Min: 7006.74 / Avg: 7166.3 / Max: 7396Min: 2689.45 / Avg: 2740.93 / Max: 2832.51Min: 5788.17 / Avg: 5873.92 / Max: 5916.81. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 0.28Backend: BLASCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X400800120016002000SE +/- 18.77, N = 3SE +/- 15.59, N = 3SE +/- 7.21, N = 3SE +/- 17.67, N = 31996115576616691. (CXX) g++ options: -flto -O3 -march=native -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.28Performance Per Core - Backend: BLASCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X306090120150124.7548.1347.88104.311. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgNodes Per Second Per Thread, More Is BetterLeelaChessZero 0.28Performance Per Thread - Backend: BLASCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X2040608010083.1736.0923.9452.161. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X30060090012001500Min: 1964 / Avg: 1996 / Max: 2029Min: 1128 / Avg: 1155 / Max: 1182Min: 752 / Avg: 766 / Max: 776Min: 1637 / Avg: 1669 / Max: 16981. (CXX) g++ options: -flto -O3 -march=native -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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X6001200180024003000SE +/- 4.53, N = 3SE +/- 12.00, N = 3SE +/- 9.11, N = 3SE +/- 0.85, N = 32877.822018.592944.651141.65MIN: 2864.15MIN: 1981.55MIN: 2911.82MIN: 1137.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms x Core, Fewer Is BetteroneDNN 2.6Performance Per Core - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X10K20K30K40K50K46045.1248446.1647114.4018266.401. Core i9 12900K: Detected core count of 162. Core i9 13900K: Detected core count of 243. Ryzen 9 5950X: Detected core count of 164. Ryzen 9 7950X: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetteroneDNN 2.6Performance Per Thread - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X20K40K60K80K100K69067.6864594.8894228.8036532.801. Core i9 12900K: Detected thread count of 242. Core i9 13900K: Detected thread count of 323. Ryzen 9 5950X: Detected thread count of 324. Ryzen 9 7950X: Detected thread count of 32
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X5001000150020002500Min: 2870.23 / Avg: 2877.82 / Max: 2885.89Min: 1994.96 / Avg: 2018.59 / Max: 2034.01Min: 2927.4 / Avg: 2944.65 / Max: 2958.34Min: 1140.46 / Avg: 1141.65 / Max: 1143.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity 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.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeCore i9 12900KCore i9 13900KRyzen 9 5950XRyzen 9 7950X246810SE +/- 0.00811, N = 3SE +/- 0.01732, N = 3SE +/- 0.00206, N = 3SE +/- 0.00625, N = 34.020395.517743.080777.90517