AMD Ryzen 9 7900X3D Linux Review Benchmarks

AMD Ryzen 9 7900X3D Linux review benchmarks for a future article on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2303030-NE-CPUBENCHM68
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Audio Encoding 2 Tests
AV1 5 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 4 Tests
Web Browsers 1 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 7 Tests
C/C++ Compiler Tests 21 Tests
Compression Tests 3 Tests
CPU Massive 41 Tests
Creator Workloads 42 Tests
Cryptocurrency Benchmarks, CPU Mining Tests 2 Tests
Cryptography 3 Tests
Database Test Suite 3 Tests
Encoding 13 Tests
Fortran Tests 4 Tests
Game Development 6 Tests
HPC - High Performance Computing 28 Tests
Imaging 8 Tests
Java 2 Tests
Common Kernel Benchmarks 4 Tests
Linear Algebra 2 Tests
Machine Learning 11 Tests
Molecular Dynamics 8 Tests
MPI Benchmarks 8 Tests
Multi-Core 47 Tests
Node.js + NPM Tests 2 Tests
NVIDIA GPU Compute 7 Tests
Intel oneAPI 6 Tests
OpenMPI Tests 11 Tests
Productivity 3 Tests
Programmer / Developer System Benchmarks 14 Tests
Python 4 Tests
Raytracing 3 Tests
Renderers 10 Tests
Scientific Computing 14 Tests
Software Defined Radio 3 Tests
Server 7 Tests
Server CPU Tests 28 Tests
Single-Threaded 8 Tests
Speech 2 Tests
Telephony 2 Tests
Texture Compression 3 Tests
Video Encoding 11 Tests
Common Workstation Benchmarks 5 Tests

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Core i9 13900K
February 13 2023
  1 Day, 4 Hours, 31 Minutes
Ryzen 7 5800X3D
February 22 2023
  1 Day, 6 Hours, 48 Minutes
Ryzen 9 5950X
February 24 2023
  1 Day, 6 Hours, 2 Minutes
Ryzen 7 7700X
February 27 2023
  1 Day, 2 Hours, 22 Minutes
Ryzen 9 7900X
February 28 2023
  1 Day, 1 Hour, 18 Minutes
Ryzen 9 7900X3D
March 02 2023
  1 Day, 1 Hour, 58 Minutes
Ryzen 9 7950X
February 15 2023
  23 Hours, 8 Minutes
Ryzen 9 7950X3D
February 16 2023
  1 Day, 12 Minutes
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  1 Day, 2 Hours, 47 Minutes

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AMD Ryzen 9 7900X3D Linux Review BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DIntel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (0809 BIOS)Intel Device 7a2732GBWestern Digital WD_BLACK SN850X 1000GB + 2000GBAMD Radeon RX 7900 XTX 24GB (2304/1249MHz)Realtek ALC897ASUS VP28UIntel Device 7a70Ubuntu 23.046.2.0-060200rc8daily20230213-generic (x86_64)GNOME Shell 43.2X Server 1.21.1.64.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49)GCC 12.2.0ext43840x2160AMD Ryzen 7 5800X3D 8-Core @ 4.55GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VIII HERO (4402 BIOS)AMD Starship/MatisseAMD Device ab30ASUS MG28URealtek RTL8125 2.5GbE + Intel I211AMD Ryzen 9 5950X 16-Core @ 5.08GHz (16 Cores / 32 Threads)AMD Ryzen 7 7700X 8-Core @ 5.57GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR X670E HERO (9922 BIOS)AMD Device 14d8Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411AMD Ryzen 9 7900X 12-Core @ 5.73GHz (12 Cores / 24 Threads)AMD Ryzen 9 7900X3D 12-Core @ 4.40GHz (12 Cores / 24 Threads)AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler 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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/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 13900K: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x10e - Thermald 2.5.2- Ryzen 7 5800X3D: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa20120a- Ryzen 9 5950X: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa201025- Ryzen 7 7700X: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7900X: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7900X3D: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7950X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7950X3D: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Details- OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Details- Python 3.11.1Security Details- 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 7 5800X3D: 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 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 7 7700X: 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 7900X: 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 7900X3D: 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- Ryzen 9 7950X3D: 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 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DResult OverviewPhoronix Test Suite100%174%249%323%398%oneDNNXcompact3d Incompact3dOSPRayOpenVINOOSPRay StudioNAMDPrimesieveCpuminer-OptStress-NGBlenderASKAPBRL-CADSVT-VP9Chaos Group V-RAYTachyonASTC EncoderLuxCoreRenderTimed Linux Kernel CompilationPennantNode.js Express HTTP Load TestTimed Godot Game Engine CompilationLeelaChessZeroSysbenchTimed LLVM CompilationDarktableTimed MPlayer CompilationIndigoBenchACES DGEMMGPAWOpenVKLStargate Digital Audio WorkstationN-QueensSVT-HEVCTimed FFmpeg CompilationHigh Performance Conjugate GradientEmbreeLAMMPS Molecular Dynamics Simulator7-Zip CompressionGROMACSTimed Mesa CompilationHimeno BenchmarkLULESHm-queensBuild2AppleseedOpenFOAMx264XmrigAlgebraic Multi-Grid BenchmarkLiquid-DSPKvazaarlibavif avifencTensorFlow LiteNumenta Anomaly BenchmarkNCNNGraphicsMagickx265Timed MrBayes AnalysisNatronPHPBenchSVT-AV1KTX-Software toktxRocksDBsimdjsonPyBenchONNX RuntimePyHPC BenchmarksWireGuard + Linux Networking Stack Stress TestTNNRawTherapeeAOM AV1RenaissanceDeepSpeechNumpy Benchmarkdav1dNode.js V8 Web Tooling Benchmarkrav1eQuantLibOpenEMSLuaRadioZstd CompressionSQLite SpeedtestDaCapo BenchmarkGIMPsrsRANSeleniumLZ4 CompressionCraftyRNNoiseDolfynGNU Octave BenchmarkRadiance BenchmarkGoogle DracoGEGLVP9 libvpx EncodingGcrypt Librarylibjpeg-turbo tjbenchLAME MP3 EncodingWebP Image EncodeUnpacking The Linux KernelUnpacking Firefox

Core i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DPer Watt Result OverviewPhoronix Test Suite100%178%257%335%414%LeelaChessZeroGROMACSASKAPNode.js Express HTTP Load TestAlgebraic Multi-Grid BenchmarkSVT-VP9High Performance Conjugate GradientOSPRayLULESHHimeno Benchmarkx264ASTC EncoderCpuminer-OptSVT-HEVCXmrigStress-NGKvazaarNatronEmbreeStargate Digital Audio WorkstationPHPBenchOpenVKLACES DGEMMSVT-AV1x2657-Zip CompressionLuxCoreRenderLAMMPS Molecular Dynamics SimulatorChaos Group V-RAYAOM AV1BRL-CADIndigoBenchOpenEMSrav1eVP9 libvpx EncodingLiquid-DSPSeleniumSysbenchWebP Image EncodeNode.js V8 Web Tooling BenchmarkNumpy BenchmarksrsRANsimdjsonQuantLibLZ4 CompressionCraftyZstd CompressionGraphicsMagicklibjpeg-turbo tjbenchRocksDBLuaRadioP.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

AMD Ryzen 9 7900X3D Linux Review Benchmarkscpuminer-opt: LBC, LBRY Creditsopenvino: Weld Porosity Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUstress-ng: Mallocopenvino: Face Detection FP16-INT8 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUopenvino: Machine Translation EN To DE FP16 - CPUospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeopenvino: Vehicle Detection FP16-INT8 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUpennant: sedovbigopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Detection FP16 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUcpuminer-opt: scryptopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Vehicle Detection FP16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUcpuminer-opt: Myriad-Groestlonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUcpuminer-opt: Quad SHA-256, Pyriteaskap: tConvolve OpenMP - Degriddingopenvino: Face Detection FP16 - CPUaskap: tConvolve MT - Griddingospray: gravity_spheres_volume/dim_512/pathtracer/real_timeincompact3d: input.i3d 129 Cells Per Directioncpuminer-opt: Skeincoinopenvino: Person Detection FP32 - CPUrocksdb: Rand Readopenvino: Person Detection FP16 - CPUospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerncnn: CPU - blazefaceopenvino: Weld Porosity Detection FP16-INT8 - CPUgraphics-magick: Sharpenstress-ng: Glibc Qsort Data Sortingospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Traceraskap: tConvolve MT - Degriddingospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerdarktable: Server Room - CPU-onlyincompact3d: input.i3d 193 Cells Per Directionopenvino: Person Vehicle Bike Detection FP16 - CPUprimesieve: 1e13stress-ng: Matrix Mathluxcorerender: LuxCore Benchmark - CPUnamd: ATPase Simulation - 327,506 Atomsopenvino: Face Detection FP16-INT8 - CPUopenfoam: drivaerFastback, Small Mesh Size - Execution Timeprimesieve: 1e12renaissance: Apache Spark Bayesluxcorerender: Danish Mood - CPUblender: Barbershop - CPU-Onlyaskap: Hogbom Clean OpenMPblender: Classroom - CPU-Onlystress-ng: Glibc C String Functionsncnn: CPU - shufflenet-v2svt-vp9: VMAF Optimized - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080popenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUsvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Kospray: particle_volume/scivis/real_timeopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUstress-ng: Memory Copyingospray: particle_volume/ao/real_timestress-ng: Cryptoopenvino: Vehicle Detection FP16-INT8 - CPUcpuminer-opt: x25xblender: BMW27 - CPU-Onlybrl-cad: VGR Performance Metricbuild-linux-kernel: allmodconfigliquid-dsp: 32 - 256 - 57blender: Pabellon Barcelona - CPU-Onlyopenvkl: vklBenchmark ISPCv-ray: CPUsvt-hevc: 1 - Bosphorus 4Kblender: Fishy Cat - CPU-Onlyastcenc: Thoroughembree: Pathtracer ISPC - Crownastcenc: Exhaustiveluxcorerender: DLSC - CPUtachyon: Total Timesvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pcpuminer-opt: Magiastcenc: Mediumpennant: leblancbigdarktable: Boat - CPU-onlysvt-hevc: 1 - Bosphorus 1080pappleseed: Disney Materialsvt-vp9: VMAF Optimized - Bosphorus 1080ptoktx: UASTC 4 + Zstd Compression 19onednn: Recurrent Neural Network Training - u8s8f32 - CPUastcenc: Fastonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUluxcorerender: Orange Juice - CPUsvt-vp9: Visual Quality Optimized - Bosphorus 4Kbuild-llvm: Ninjaonnx: ResNet50 v1-12-int8 - CPU - Standardncnn: CPU - vgg16darktable: Masskrug - CPU-onlystargate: 480000 - 1024node-express-loadtest: graphics-magick: Enhancedindigobench: CPU - Supercarncnn: CPU - regnety_400mstargate: 44100 - 1024liquid-dsp: 16 - 256 - 57compress-7zip: Decompression Ratingstress-ng: CPU Stresslczero: Eigenbuild-godot: Time To Compilelczero: BLASkvazaar: Bosphorus 4K - Slowembree: Pathtracer ISPC - Asian Dragonaskap: tConvolve OpenMP - Griddingkvazaar: Bosphorus 4K - Mediumsysbench: CPUcompress-zstd: 8 - Compression Speedcpuminer-opt: Ringcoinbuild-linux-kernel: defconfigbuild-mplayer: Time To Compilestress-ng: Vector Mathstargate: 96000 - 1024ncnn: CPU - FastestDetmt-dgemm: Sustained Floating-Point Ratexmrig: Wownero - 1Mgpaw: Carbon Nanotubecpuminer-opt: Triple SHA-256, Onecoinstargate: 480000 - 512svt-hevc: 10 - Bosphorus 4Kstargate: 44100 - 512svt-hevc: 7 - Bosphorus 1080plammps: Rhodopsin Proteinavifenc: 6ncnn: CPU - googlenetn-queens: Elapsed Timeindigobench: CPU - Bedroomcompress-zstd: 12 - Compression Speednumenta-nab: Windowed Gaussiansvt-hevc: 10 - Bosphorus 1080pbuild-ffmpeg: Time To Compilestargate: 96000 - 512build-llvm: Unix Makefilesx264: Bosphorus 4Khpcg: lammps: 20k Atomssvt-hevc: 7 - Bosphorus 4Kcpuminer-opt: Deepcoingromacs: MPI CPU - water_GMX50_barebuild-mesa: Time To Compilestargate: 192000 - 1024graphics-magick: Swirlclickhouse: 100M Rows Hits Dataset, Second Runcompress-zstd: 8, Long Mode - Compression Speedclickhouse: 100M Rows Hits Dataset, Third Runkvazaar: Bosphorus 4K - Super Fastlulesh: m-queens: Time To Solveappleseed: Emilybuild2: Time To Compilecompress-7zip: Compression Ratingkvazaar: Bosphorus 4K - Ultra Fastclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachencnn: CPU-v2-v2 - mobilenet-v2tensorflow-lite: Inception V4stargate: 192000 - 512x265: Bosphorus 4Kembree: Pathtracer - Crownncnn: CPU - resnet50ncnn: CPU-v3-v3 - mobilenet-v3avifenc: 0openvkl: vklBenchmark Scalartensorflow-lite: Mobilenet Quantgraphics-magick: Noise-Gaussianncnn: CPU - mnasnetdarktable: Server Rack - CPU-onlyospray: particle_volume/pathtracer/real_timetoktx: UASTC 3numenta-nab: Relative Entropygraphics-magick: Resizingkvazaar: Bosphorus 4K - Very Fastnumenta-nab: Bayesian Changepointrocksdb: Rand Fill Syncluaradio: Hilbert Transformnumenta-nab: KNN CADamg: x264: Bosphorus 1080pavifenc: 6, Losslessxmrig: Monero - 1Msvt-av1: Preset 12 - Bosphorus 4Kavifenc: 2ncnn: CPU - squeezenet_ssdembree: Pathtracer - Asian Dragonaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 1080pluxcorerender: Rainbow Colors and Prism - CPUcpuminer-opt: Garlicoinsvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 4Kstress-ng: Semaphoreskvazaar: Bosphorus 1080p - Super Fastdav1d: Summer Nature 4Kncnn: CPU - efficientnet-b0openvino: Weld Porosity Detection FP16 - CPUsvt-av1: Preset 4 - Bosphorus 4Kncnn: CPU - vision_transformerkvazaar: Bosphorus 1080p - Very Fastnumenta-nab: Contextual Anomaly Detector OSEappleseed: Material Testerrenaissance: Finagle HTTP Requestsrocksdb: Read While Writingrenaissance: Akka Unbalanced Cobwebbed Treencnn: CPU - resnet18compress-zstd: 3 - Compression Speedmrbayes: Primate Phylogeny Analysisaom-av1: Speed 6 Realtime - Bosphorus 1080pnumenta-nab: Earthgecko Skylinesrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMnatron: Spaceshipsimdjson: TopTweetpyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingsimdjson: PartialTweetssimdjson: DistinctUserIDaom-av1: Speed 9 Realtime - Bosphorus 1080pkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumdacapobench: Jythonkvazaar: Bosphorus 1080p - Ultra Fastaom-av1: Speed 6 Realtime - Bosphorus 4Krenaissance: ALS Movie Lensphpbench: PHP Benchmark Suitencnn: CPU - mobilenettnn: CPU - SqueezeNet v1.1aom-av1: Speed 9 Realtime - Bosphorus 4Kncnn: CPU - yolov4-tinyrocksdb: Read Rand Write Randaom-av1: Speed 4 Two-Pass - Bosphorus 4Ktnn: CPU - DenseNetaom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 4Ktensorflow-lite: Mobilenet Floatrocksdb: Update Randncnn: CPU - alexnettoktx: UASTC 3 + Zstd Compression 19aom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 1080ppyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 1080ppybench: Total For Average Test Timesavifenc: 10, Losslessopenfoam: drivaerFastback, Small Mesh Size - Mesh Timepyhpc: CPU - Numpy - 4194304 - Equation of Statewireguard: x265: Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 1080pgraphics-magick: Rotatepyhpc: CPU - Numpy - 1048576 - Equation of Staterav1e: 1simdjson: Kostyarawtherapee: Total Benchmark Timeluaradio: FM Deemphasis Filtertnn: CPU - MobileNet v2dav1d: Chimera 1080p 10-bitonnx: GPT-2 - CPU - Standarddeepspeech: CPUnumpy: gegl: Scalerocksdb: Seq Filltnn: CPU - SqueezeNet v2renaissance: Savina Reactors.IOselenium: Speedometer - Google Chromenode-web-tooling: renaissance: Scala Dottyrav1e: 6simdjson: LargeRandcompress-lz4: 1 - Decompression Speedsvt-av1: Preset 13 - Bosphorus 1080pcompress-zstd: 8 - Decompression Speedquantlib: gimp: unsharp-maskluaradio: Five Back to Back FIR Filtersselenium: WASM imageConvolute - Google Chromesrsran: OFDM_Testcompress-lz4: 3 - Decompression Speedopenems: pyEMS Couplerrav1e: 5compress-zstd: 3 - Decompression Speedcompress-lz4: 9 - Decompression Speedselenium: Octane - Google Chromeliquid-dsp: 8 - 256 - 57compress-lz4: 1 - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedrenaissance: Genetic Algorithm Using Jenetics + Futuresgimp: resizesrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMcompress-zstd: 3, Long Mode - Decompression Speedsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMgegl: Antialiasdav1d: Summer Nature 1080prenaissance: Apache Spark PageRankselenium: WASM collisionDetection - Google Chromerav1e: 10compress-zstd: 12 - Decompression Speedselenium: ARES-6 - Google Chromesqlite-speedtest: Timed Time - Size 1,000srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMrenaissance: Apache Spark ALSgimp: auto-levelstoktx: Zstd Compression 19graphics-magick: HWB Color Spacerocksdb: Rand Fillgegl: Cartooncompress-zstd: 19, Long Mode - Decompression Speedgegl: Reflectdav1d: Chimera 1080pselenium: Jetstream 2 - Google Chromecompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedgimp: rotateradiance: Serialdraco: Church Facadeluaradio: Complex Phaseselenium: PSPDFKit WASM - Google Chromewebp: Quality 100, Lossless, Highest Compressioncrafty: Elapsed Timernnoise: webp: Quality 100, Losslessdolfyn: Computational Fluid Dynamicsoctave-benchmark: vpxenc: Speed 5 - Bosphorus 1080pselenium: Kraken - Google Chromegegl: Color Enhancecompress-zstd: 19 - Compression Speedsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMradiance: SMP Parallelvpxenc: Speed 5 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 4Ksrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMgegl: Tile Glasssrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMwebp: Defaultsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMcompress-zstd: 3, Long Mode - Compression Speedvpxenc: Speed 0 - Bosphorus 1080pgegl: Cropgcrypt: compress-lz4: 9 - Compression Speedtjbench: Decompression Throughputencode-mp3: WAV To MP3renaissance: Rand Forestwebp: Quality 100compress-lz4: 3 - Compression Speedwebp: Quality 100, Highest Compressionunpack-linux: linux-5.19.tar.xzunpack-firefox: firefox-84.0.source.tar.xzgegl: Rotate 90 Degreesstress-ng: IO_uringgegl: Wavelet Blurdraco: Lionstress-ng: CPU Cachestress-ng: Socket Activityhimeno: Poisson Pressure Solverdacapobench: H2svt-av1: Preset 13 - Bosphorus 4Konednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 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Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D30K60K90K120K150KSE +/- 112.60, N = 3SE +/- 47.26, N = 3SE +/- 26.46, N = 3SE +/- 506.96, N = 3SE +/- 59.25, N = 3SE +/- 64.89, N = 3SE +/- 43.72, N = 3SE +/- 43.72, N = 3147653136400111630102647755075331348297271671. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D30K60K90K120K150KMin: 147460 / Avg: 147653.33 / Max: 147850Min: 136330 / Avg: 136400 / Max: 136490Min: 111590 / Avg: 111630 / Max: 111680Min: 102110 / Avg: 102646.67 / Max: 103660Min: 75420 / Avg: 75506.67 / Max: 75620Min: 53190 / Avg: 53313.33 / Max: 53410Min: 48210 / Avg: 48296.67 / Max: 48350Min: 27080 / Avg: 27166.67 / Max: 272201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D30060090012001500SE +/- 1.33, N = 3SE +/- 0.77, N = 3SE +/- 1.49, N = 3SE +/- 0.52, N = 3SE +/- 0.95, N = 3SE +/- 1.73, N = 3SE +/- 0.38, N = 3SE +/- 0.33, N = 31447.081335.751086.67998.87739.55562.23438.32276.53-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D30060090012001500Min: 1444.83 / Avg: 1447.08 / Max: 1449.44Min: 1334.87 / Avg: 1335.75 / Max: 1337.29Min: 1084.68 / Avg: 1086.67 / Max: 1089.59Min: 998.26 / Avg: 998.87 / Max: 999.9Min: 737.71 / Avg: 739.55 / Max: 740.86Min: 559.14 / Avg: 562.23 / Max: 565.14Min: 437.57 / Avg: 438.32 / Max: 438.72Min: 275.88 / Avg: 276.53 / Max: 276.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D10K20K30K40K50KSE +/- 45.80, N = 3SE +/- 13.50, N = 3SE +/- 105.58, N = 3SE +/- 21.54, N = 3SE +/- 132.08, N = 3SE +/- 131.87, N = 3SE +/- 45.29, N = 3SE +/- 5.84, N = 345170.1840665.2934079.3730334.4522851.9917587.9313284.368671.53-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D8K16K24K32K40KMin: 45104.5 / Avg: 45170.18 / Max: 45258.31Min: 40641.28 / Avg: 40665.29 / Max: 40687.98Min: 33893.47 / Avg: 34079.37 / Max: 34259.06Min: 30298.34 / Avg: 30334.45 / Max: 30372.85Min: 22594.32 / Avg: 22851.99 / Max: 23031.2Min: 17449.32 / Avg: 17587.93 / Max: 17851.55Min: 13197.07 / Avg: 13284.36 / Max: 13348.94Min: 8660.35 / Avg: 8671.53 / Max: 8680.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K0.40730.81461.22191.62922.0365SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 30.350.350.350.390.390.921.201.81-fPIC -shared - MIN: 0.21 / MAX: 7.18-fPIC -shared - MIN: 0.22 / MAX: 6.16-fPIC -shared - MIN: 0.21 / MAX: 7.08-fPIC -shared - MIN: 0.23 / MAX: 7.62-fPIC -shared - MIN: 0.22 / MAX: 9.86-fPIC -shared - MIN: 0.53 / MAX: 9-fPIC -shared - MIN: 0.62 / MAX: 10.19-pie -ldl - MIN: 0.71 / MAX: 17.791. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K246810Min: 0.34 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.92 / Avg: 0.92 / Max: 0.92Min: 1.19 / Avg: 1.2 / Max: 1.2Min: 1.78 / Avg: 1.81 / Max: 1.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 314.4813.5210.9210.127.505.614.032.83-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D48121620Min: 14.45 / Avg: 14.48 / Max: 14.54Min: 13.45 / Avg: 13.52 / Max: 13.55Min: 10.9 / Avg: 10.92 / Max: 10.95Min: 10.11 / Avg: 10.12 / Max: 10.13Min: 7.46 / Avg: 7.5 / Max: 7.52Min: 5.59 / Avg: 5.61 / Max: 5.66Min: 4.01 / Avg: 4.03 / Max: 4.07Min: 2.8 / Avg: 2.83 / Max: 2.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D6001200180024003000SE +/- 1.83, N = 3SE +/- 0.54, N = 3SE +/- 2.21, N = 3SE +/- 2.08, N = 3SE +/- 2.15, N = 3SE +/- 6.61, N = 3SE +/- 0.94, N = 3SE +/- 0.74, N = 32897.962615.512190.511955.071865.091474.43960.20566.78-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D5001000150020002500Min: 2894.72 / Avg: 2897.96 / Max: 2901.04Min: 2614.79 / Avg: 2615.51 / Max: 2616.56Min: 2187.99 / Avg: 2190.51 / Max: 2194.92Min: 1951.27 / Avg: 1955.07 / Max: 1958.43Min: 1862.37 / Avg: 1865.09 / Max: 1869.33Min: 1467.26 / Avg: 1474.43 / Max: 1487.63Min: 959.19 / Avg: 960.2 / Max: 962.08Min: 565.69 / Avg: 566.78 / Max: 568.21. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MallocRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D8M16M24M32M40MSE +/- 203990.92, N = 3SE +/- 180709.68, N = 3SE +/- 260323.82, N = 3SE +/- 146269.37, N = 3SE +/- 119578.68, N = 3SE +/- 65792.50, N = 3SE +/- 47113.56, N = 3SE +/- 8516.84, N = 337539926.4136092587.3733684130.5324924097.8022176873.8320823805.0810765884.487668646.591. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MallocRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D7M14M21M28M35MMin: 37287426.42 / Avg: 37539926.41 / Max: 37943700.65Min: 35743381.9 / Avg: 36092587.37 / Max: 36347872.32Min: 33254073.05 / Avg: 33684130.53 / Max: 34153311.59Min: 24661262.92 / Avg: 24924097.8 / Max: 25166747.23Min: 21965943.61 / Avg: 22176873.83 / Max: 22379953.03Min: 20698084.04 / Avg: 20823805.08 / Max: 20920305.19Min: 10678358.36 / Avg: 10765884.48 / Max: 10839870.81Min: 7652365.39 / Avg: 7668646.59 / Max: 7681123.251. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D714212835SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 328.3126.0721.2619.4618.3214.589.775.83-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D612182430Min: 28.28 / Avg: 28.31 / Max: 28.33Min: 26.03 / Avg: 26.07 / Max: 26.1Min: 21.24 / Avg: 21.26 / Max: 21.28Min: 19.46 / Avg: 19.46 / Max: 19.47Min: 18.17 / Avg: 18.32 / Max: 18.43Min: 14.53 / Avg: 14.58 / Max: 14.62Min: 9.73 / Avg: 9.77 / Max: 9.8Min: 5.82 / Avg: 5.83 / Max: 5.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950X0.38040.76081.14121.52161.902SE +/- 0.002971, N = 15SE +/- 0.010004, N = 15SE +/- 0.001006, N = 5SE +/- 0.003260, N = 5SE +/- 0.011800, N = 15SE +/- 0.008635, N = 15SE +/- 0.010984, N = 5SE +/- 0.011238, N = 140.3500240.5700280.6083390.6577250.6971670.8023541.0562001.690600MIN: 0.3MIN: 0.43-lpthread - MIN: 0.59MIN: 0.63MIN: 0.54MIN: 0.7MIN: 0.98-lpthread - MIN: 1.51. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950X246810Min: 0.33 / Avg: 0.35 / Max: 0.37Min: 0.47 / Avg: 0.57 / Max: 0.64Min: 0.61 / Avg: 0.61 / Max: 0.61Min: 0.65 / Avg: 0.66 / Max: 0.67Min: 0.59 / Avg: 0.7 / Max: 0.74Min: 0.74 / Avg: 0.8 / Max: 0.88Min: 1.04 / Avg: 1.06 / Max: 1.1Min: 1.62 / Avg: 1.69 / Max: 1.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D306090120150SE +/- 0.87, N = 3SE +/- 0.28, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.26, N = 3SE +/- 0.11, N = 3SE +/- 0.33, N = 3SE +/- 0.08, N = 3137.43134.94110.44106.7978.8461.2037.3828.87-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D306090120150Min: 135.72 / Avg: 137.43 / Max: 138.54Min: 134.54 / Avg: 134.94 / Max: 135.49Min: 110.34 / Avg: 110.44 / Max: 110.51Min: 106.67 / Avg: 106.79 / Max: 107.02Min: 78.37 / Avg: 78.84 / Max: 79.28Min: 61.02 / Avg: 61.2 / Max: 61.39Min: 36.77 / Avg: 37.38 / Max: 37.9Min: 28.77 / Avg: 28.87 / Max: 29.021. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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_timeRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810SE +/- 0.01237, N = 3SE +/- 0.00497, N = 3SE +/- 0.00296, N = 3SE +/- 0.01226, N = 3SE +/- 0.00437, N = 3SE +/- 0.02414, N = 3SE +/- 0.00443, N = 3SE +/- 0.01182, N = 37.858947.478695.937305.604814.933634.035243.084511.67511
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D3691215Min: 7.84 / Avg: 7.86 / Max: 7.88Min: 7.47 / Avg: 7.48 / Max: 7.49Min: 5.93 / Avg: 5.94 / Max: 5.94Min: 5.59 / Avg: 5.6 / Max: 5.63Min: 4.93 / Avg: 4.93 / Max: 4.94Min: 3.99 / Avg: 4.04 / Max: 4.06Min: 3.08 / Avg: 3.08 / Max: 3.09Min: 1.65 / Avg: 1.68 / Max: 1.69

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810SE +/- 0.00625, N = 3SE +/- 0.01003, N = 3SE +/- 0.00520, N = 3SE +/- 0.00496, N = 3SE +/- 0.01006, N = 3SE +/- 0.01255, N = 3SE +/- 0.00213, N = 3SE +/- 0.00204, N = 38.043687.652826.040375.735955.098794.099933.249531.78001
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D3691215Min: 8.03 / Avg: 8.04 / Max: 8.05Min: 7.63 / Avg: 7.65 / Max: 7.66Min: 6.03 / Avg: 6.04 / Max: 6.05Min: 5.73 / Avg: 5.74 / Max: 5.74Min: 5.08 / Avg: 5.1 / Max: 5.11Min: 4.09 / Avg: 4.1 / Max: 4.13Min: 3.25 / Avg: 3.25 / Max: 3.25Min: 1.78 / Avg: 1.78 / Max: 1.78

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D400800120016002000SE +/- 1.27, N = 3SE +/- 4.69, N = 3SE +/- 0.74, N = 3SE +/- 0.86, N = 3SE +/- 1.06, N = 3SE +/- 5.74, N = 3SE +/- 1.01, N = 3SE +/- 0.68, N = 31860.491708.211387.521253.86955.91948.97685.28413.79-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D30060090012001500Min: 1858.52 / Avg: 1860.49 / Max: 1862.87Min: 1701.37 / Avg: 1708.21 / Max: 1717.19Min: 1386.55 / Avg: 1387.52 / Max: 1388.98Min: 1252.27 / Avg: 1253.86 / Max: 1255.21Min: 954.52 / Avg: 955.91 / Max: 958Min: 937.59 / Avg: 948.97 / Max: 956.02Min: 683.8 / Avg: 685.28 / Max: 687.22Min: 412.47 / Avg: 413.79 / Max: 414.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D0.58111.16221.74332.32442.9055SE +/- 0.001903, N = 9SE +/- 0.000928, N = 9SE +/- 0.000789, N = 9SE +/- 0.002122, N = 9SE +/- 0.000808, N = 9SE +/- 0.000717, N = 9SE +/- 0.006955, N = 9SE +/- 0.005970, N = 90.5784200.6379440.7497010.8505520.8990061.4486501.6925002.582800MIN: 0.56MIN: 0.62MIN: 0.72MIN: 0.83MIN: 0.86MIN: 1.43-lpthread - MIN: 1.49-lpthread - MIN: 2.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D246810Min: 0.57 / Avg: 0.58 / Max: 0.59Min: 0.63 / Avg: 0.64 / Max: 0.64Min: 0.75 / Avg: 0.75 / Max: 0.75Min: 0.84 / Avg: 0.85 / Max: 0.86Min: 0.9 / Avg: 0.9 / Max: 0.9Min: 1.45 / Avg: 1.45 / Max: 1.45Min: 1.67 / Avg: 1.69 / Max: 1.72Min: 2.55 / Avg: 2.58 / Max: 2.611. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Pennant

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

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K306090120150SE +/- 0.26, N = 3SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 2.80, N = 1231.6933.8235.0438.0346.8166.0780.75138.711. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K306090120150Min: 31.28 / Avg: 31.69 / Max: 32.17Min: 33.42 / Avg: 33.82 / Max: 34.18Min: 34.96 / Avg: 35.04 / Max: 35.09Min: 37.89 / Avg: 38.03 / Max: 38.26Min: 46.68 / Avg: 46.81 / Max: 46.89Min: 66.03 / Avg: 66.07 / Max: 66.11Min: 80.45 / Avg: 80.75 / Max: 81.29Min: 118.4 / Avg: 138.71 / Max: 146.931. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.597.285.885.584.123.492.461.74-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3691215Min: 7.55 / Avg: 7.59 / Max: 7.62Min: 7.23 / Avg: 7.28 / Max: 7.33Min: 5.85 / Avg: 5.88 / Max: 5.92Min: 5.55 / Avg: 5.58 / Max: 5.62Min: 4.11 / Avg: 4.12 / Max: 4.13Min: 3.48 / Avg: 3.49 / Max: 3.5Min: 2.44 / Avg: 2.46 / Max: 2.47Min: 1.73 / Avg: 1.74 / Max: 1.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X816243240SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 37.697.948.158.5710.3214.6623.4933.25-fPIC -shared - MIN: 4.17 / MAX: 16.14-fPIC -shared - MIN: 4.31 / MAX: 18.63-fPIC -shared - MIN: 4.35 / MAX: 17.47-fPIC -shared - MIN: 3.69 / MAX: 17.41-fPIC -shared - MIN: 4.85 / MAX: 22.73-fPIC -shared - MIN: 7.89 / MAX: 23.34-pie -ldl - MIN: 6.4 / MAX: 48.86-fPIC -shared - MIN: 11.88 / MAX: 55.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X714212835Min: 7.67 / Avg: 7.69 / Max: 7.71Min: 7.88 / Avg: 7.94 / Max: 7.99Min: 8.1 / Avg: 8.15 / Max: 8.19Min: 8.52 / Avg: 8.57 / Max: 8.63Min: 10.26 / Avg: 10.32 / Max: 10.42Min: 14.63 / Avg: 14.66 / Max: 14.69Min: 23.43 / Avg: 23.49 / Max: 23.59Min: 33.02 / Avg: 33.25 / Max: 33.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.627.386.005.614.143.512.511.77-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3691215Min: 7.59 / Avg: 7.62 / Max: 7.66Min: 7.34 / Avg: 7.38 / Max: 7.42Min: 5.94 / Avg: 6 / Max: 6.04Min: 5.57 / Avg: 5.61 / Max: 5.63Min: 4.1 / Avg: 4.14 / Max: 4.21Min: 3.5 / Avg: 3.51 / Max: 3.53Min: 2.5 / Avg: 2.51 / Max: 2.52Min: 1.76 / Avg: 1.77 / Max: 1.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D0.40490.80981.21471.61962.0245SE +/- 0.000506, N = 3SE +/- 0.001790, N = 3SE +/- 0.001699, N = 3SE +/- 0.000740, N = 3SE +/- 0.000323, N = 3SE +/- 0.012535, N = 3SE +/- 0.010879, N = 3SE +/- 0.003085, N = 30.4189260.4667300.5447850.5970260.7434870.9658241.1225301.799600MIN: 0.4MIN: 0.45MIN: 0.52MIN: 0.58MIN: 0.72MIN: 0.86-lpthread - MIN: 0.98-lpthread - MIN: 1.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D246810Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.46 / Avg: 0.47 / Max: 0.47Min: 0.54 / Avg: 0.54 / Max: 0.55Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.74 / Avg: 0.74 / Max: 0.74Min: 0.95 / Avg: 0.97 / Max: 0.99Min: 1.11 / Avg: 1.12 / Max: 1.14Min: 1.79 / Avg: 1.8 / Max: 1.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D150300450600750SE +/- 0.31, N = 3SE +/- 0.20, N = 3SE +/- 0.31, N = 3SE +/- 0.29, N = 3SE +/- 0.33, N = 3SE +/- 0.98, N = 3SE +/- 0.41, N = 3SE +/- 0.14, N = 3686.75641.01518.65478.82348.32330.68306.65161.111. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D120240360480600Min: 686.26 / Avg: 686.75 / Max: 687.31Min: 640.64 / Avg: 641.01 / Max: 641.33Min: 518.04 / Avg: 518.65 / Max: 519.01Min: 478.34 / Avg: 478.82 / Max: 479.34Min: 347.71 / Avg: 348.32 / Max: 348.83Min: 329.29 / Avg: 330.68 / Max: 332.56Min: 306.12 / Avg: 306.65 / Max: 307.46Min: 160.97 / Avg: 161.11 / Max: 161.381. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X50100150200250SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.36, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.37, N = 3SE +/- 1.88, N = 350.7154.2956.1558.1659.23130.59138.39213.78-fPIC -shared - MIN: 25.82 / MAX: 55.51-fPIC -shared - MIN: 26.6 / MAX: 62.88-fPIC -shared - MIN: 45.41 / MAX: 64.44-fPIC -shared - MIN: 31.66 / MAX: 70.64-fPIC -shared - MIN: 43.76 / MAX: 68.8-pie -ldl - MIN: 54.14 / MAX: 236.07-fPIC -shared - MIN: 114.75 / MAX: 150.81-fPIC -shared - MIN: 140.01 / MAX: 251.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X4080120160200Min: 50.43 / Avg: 50.71 / Max: 51.01Min: 54.26 / Avg: 54.29 / Max: 54.33Min: 56.03 / Avg: 56.15 / Max: 56.22Min: 57.69 / Avg: 58.16 / Max: 58.87Min: 58.99 / Avg: 59.23 / Max: 59.4Min: 130.15 / Avg: 130.59 / Max: 130.95Min: 137.65 / Avg: 138.39 / Max: 138.85Min: 210.79 / Avg: 213.78 / Max: 217.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 3.80, N = 3SE +/- 1.04, N = 3SE +/- 3.73, N = 3SE +/- 2.44, N = 3SE +/- 1.74, N = 3SE +/- 0.74, N = 3SE +/- 0.33, N = 3SE +/- 0.85, N = 31007.38780.05774.49735.18466.25340.07272.75240.30-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X2004006008001000Min: 1000.83 / Avg: 1007.38 / Max: 1013.99Min: 778 / Avg: 780.05 / Max: 781.4Min: 767.05 / Avg: 774.49 / Max: 778.59Min: 732.27 / Avg: 735.18 / Max: 740.02Min: 463.23 / Avg: 466.25 / Max: 469.27Min: 338.6 / Avg: 340.07 / Max: 340.86Min: 272.14 / Avg: 272.75 / Max: 273.28Min: 239.14 / Avg: 240.3 / Max: 241.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 0.34, N = 3SE +/- 2.97, N = 3SE +/- 2.16, N = 3SE +/- 2.64, N = 3SE +/- 2.29, N = 3SE +/- 10.69, N = 15SE +/- 0.76, N = 3SE +/- 22.47, N = 15570.79677.18793.05826.161103.311111.501381.462323.83MIN: 566.8MIN: 668.44MIN: 783.64MIN: 820.18MIN: 1093.61MIN: 1016.3-lpthread - MIN: 1368.51-lpthread - MIN: 2134.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X400800120016002000Min: 570.23 / Avg: 570.79 / Max: 571.4Min: 672.63 / Avg: 677.18 / Max: 682.75Min: 788.79 / Avg: 793.05 / Max: 795.83Min: 822.93 / Avg: 826.16 / Max: 831.39Min: 1099.42 / Avg: 1103.31 / Max: 1107.34Min: 1055.09 / Avg: 1111.5 / Max: 1168.8Min: 1379.93 / Avg: 1381.46 / Max: 1382.27Min: 2143.21 / Avg: 2323.83 / Max: 2438.691. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X13K26K39K52K65KSE +/- 767.09, N = 3SE +/- 440.21, N = 15SE +/- 463.79, N = 8SE +/- 706.67, N = 3SE +/- 99.39, N = 3SE +/- 10.00, N = 3SE +/- 100.39, N = 3SE +/- 35.28, N = 362040583755313350517461171872017307157931. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X11K22K33K44K55KMin: 60530 / Avg: 62040 / Max: 63030Min: 55820 / Avg: 58374.67 / Max: 60860Min: 51970 / Avg: 53132.5 / Max: 55310Min: 49810 / Avg: 50516.67 / Max: 51930Min: 45980 / Avg: 46116.67 / Max: 46310Min: 18710 / Avg: 18720 / Max: 18740Min: 17110 / Avg: 17306.67 / Max: 17440Min: 15740 / Avg: 15793.33 / Max: 158601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 2.61, N = 3SE +/- 5.12, N = 3SE +/- 7.60, N = 3SE +/- 3.32, N = 3SE +/- 3.26, N = 3SE +/- 9.18, N = 15SE +/- 1.30, N = 3SE +/- 32.81, N = 15578.14682.16792.65823.811100.891125.151383.292257.09MIN: 568.99MIN: 668.42MIN: 777.74MIN: 817.48MIN: 1090.4MIN: 1014.77-lpthread - MIN: 1369.05-lpthread - MIN: 2024.071. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X400800120016002000Min: 572.94 / Avg: 578.14 / Max: 580.93Min: 672.17 / Avg: 682.16 / Max: 689.1Min: 782.15 / Avg: 792.65 / Max: 807.41Min: 819.74 / Avg: 823.81 / Max: 830.39Min: 1096.32 / Avg: 1100.89 / Max: 1107.21Min: 1056.15 / Avg: 1125.15 / Max: 1163.42Min: 1380.7 / Avg: 1383.29 / Max: 1384.76Min: 2038.72 / Avg: 2257.09 / Max: 2474.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D400800120016002000SE +/- 1.71, N = 3SE +/- 1.67, N = 3SE +/- 1.03, N = 3SE +/- 1.69, N = 3SE +/- 3.08, N = 3SE +/- 4.56, N = 3SE +/- 3.90, N = 3SE +/- 0.73, N = 31705.711663.961263.741195.92902.60689.37600.77446.96-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D30060090012001500Min: 1703.56 / Avg: 1705.71 / Max: 1709.08Min: 1660.86 / Avg: 1663.96 / Max: 1666.57Min: 1262.62 / Avg: 1263.74 / Max: 1265.8Min: 1193.45 / Avg: 1195.92 / Max: 1199.15Min: 898.16 / Avg: 902.6 / Max: 908.51Min: 680.87 / Avg: 689.37 / Max: 696.49Min: 594.58 / Avg: 600.77 / Max: 607.98Min: 445.49 / Avg: 446.96 / Max: 447.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPURyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X510152025SE +/- 0.04758, N = 7SE +/- 0.00702, N = 7SE +/- 0.07096, N = 15SE +/- 0.01640, N = 7SE +/- 0.05005, N = 7SE +/- 0.01592, N = 7SE +/- 0.02026, N = 7SE +/- 0.15435, N = 95.036675.191385.353605.870626.416607.5611411.7808019.15900MIN: 4.77MIN: 5.11MIN: 4.93MIN: 5.7MIN: 6.19MIN: 7.41-lpthread - MIN: 11.46-lpthread - MIN: 18.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPURyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X510152025Min: 4.89 / Avg: 5.04 / Max: 5.22Min: 5.17 / Avg: 5.19 / Max: 5.23Min: 5.04 / Avg: 5.35 / Max: 5.7Min: 5.78 / Avg: 5.87 / Max: 5.92Min: 6.29 / Avg: 6.42 / Max: 6.7Min: 7.51 / Avg: 7.56 / Max: 7.63Min: 11.7 / Avg: 11.78 / Max: 11.84Min: 18.45 / Avg: 19.16 / Max: 20.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D70K140K210K280K350KSE +/- 2466.61, N = 3SE +/- 165.63, N = 3SE +/- 1312.15, N = 3SE +/- 278.47, N = 3SE +/- 1609.65, N = 3SE +/- 2058.35, N = 3SE +/- 117.90, N = 3SE +/- 58.59, N = 3313527291570237690218663199987161843155270836901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D50K100K150K200K250KMin: 309560 / Avg: 313526.67 / Max: 318050Min: 291240 / Avg: 291570 / Max: 291760Min: 236250 / Avg: 237690 / Max: 240310Min: 218370 / Avg: 218663.33 / Max: 219220Min: 197780 / Avg: 199986.67 / Max: 203120Min: 159770 / Avg: 161843.33 / Max: 165960Min: 155110 / Avg: 155270 / Max: 155500Min: 83580 / Avg: 83690 / Max: 837801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 - DegriddingRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 5950X3K6K9K12K15KSE +/- 150.99, N = 7SE +/- 50.57, N = 15SE +/- 43.50, N = 15SE +/- 20.33, N = 15SE +/- 73.72, N = 2SE +/- 64.62, N = 12SE +/- 38.23, N = 6SE +/- 15.52, N = 611883.3010038.328500.607637.146265.725980.064077.153214.731. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 5950X2K4K6K8K10KMin: 11094 / Avg: 11883.26 / Max: 12102.5Min: 9861.33 / Avg: 10038.32 / Max: 10240.6Min: 8320.5 / Avg: 8500.63 / Max: 8875.2Min: 7607.31 / Avg: 7637.14 / Max: 7831.06Min: 6192 / Avg: 6265.72 / Max: 6339.43Min: 5547 / Avg: 5980.06 / Max: 6192Min: 3973.97 / Avg: 4077.15 / Max: 4160.25Min: 3169.71 / Avg: 3214.73 / Max: 3247.021. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X400800120016002000SE +/- 0.73, N = 3SE +/- 0.68, N = 3SE +/- 1.01, N = 3SE +/- 0.86, N = 3SE +/- 0.21, N = 3SE +/- 10.89, N = 3SE +/- 6.67, N = 3SE +/- 8.96, N = 3532.68547.69550.02589.99591.491404.321417.261965.82-fPIC -shared - MIN: 482.54 / MAX: 550.82-fPIC -shared - MIN: 518.58 / MAX: 576.17-fPIC -shared - MIN: 531.31 / MAX: 582.87-fPIC -shared - MIN: 295.96 / MAX: 626.63-fPIC -shared - MIN: 570.05 / MAX: 613.62-fPIC -shared - MIN: 1296.81 / MAX: 1476.41-pie -ldl - MIN: 1086.31 / MAX: 1957.4-fPIC -shared - MIN: 1462.45 / MAX: 2340.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X30060090012001500Min: 531.6 / Avg: 532.68 / Max: 534.08Min: 546.32 / Avg: 547.69 / Max: 548.38Min: 548.11 / Avg: 550.02 / Max: 551.54Min: 588.41 / Avg: 589.99 / Max: 591.35Min: 591.06 / Avg: 591.49 / Max: 591.71Min: 1392.82 / Avg: 1404.32 / Max: 1426.1Min: 1404.51 / Avg: 1417.26 / Max: 1427.05Min: 1947.91 / Avg: 1965.82 / Max: 1975.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 3.81, N = 3SE +/- 24.86, N = 6SE +/- 0.19, N = 3SE +/- 18.74, N = 3SE +/- 11.79, N = 3SE +/- 10.46, N = 3SE +/- 1.70, N = 3SE +/- 0.32, N = 32814.432510.852198.382090.222006.261776.89933.62784.791. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X5001000150020002500Min: 2807.31 / Avg: 2814.43 / Max: 2820.32Min: 2430.17 / Avg: 2510.85 / Max: 2609.55Min: 2198.19 / Avg: 2198.38 / Max: 2198.76Min: 2052.73 / Avg: 2090.22 / Max: 2108.96Min: 1982.67 / Avg: 2006.26 / Max: 2018.37Min: 1756.02 / Avg: 1776.89 / Max: 1788.45Min: 930.36 / Avg: 933.62 / Max: 936.08Min: 784.4 / Avg: 784.79 / Max: 785.421. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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/pathtracer/real_timeRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215SE +/- 0.00580, N = 3SE +/- 0.01045, N = 3SE +/- 0.00553, N = 3SE +/- 0.00958, N = 3SE +/- 0.00464, N = 3SE +/- 0.00263, N = 3SE +/- 0.00343, N = 3SE +/- 0.00214, N = 39.506918.968457.176926.873166.729004.944924.851022.69658
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215Min: 9.5 / Avg: 9.51 / Max: 9.52Min: 8.95 / Avg: 8.97 / Max: 8.99Min: 7.17 / Avg: 7.18 / Max: 7.18Min: 6.86 / Avg: 6.87 / Max: 6.89Min: 6.72 / Avg: 6.73 / Max: 6.73Min: 4.94 / Avg: 4.94 / Max: 4.95Min: 4.84 / Avg: 4.85 / Max: 4.86Min: 2.69 / Avg: 2.7 / Max: 2.7

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 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X918273645SE +/- 0.07, N = 4SE +/- 0.07, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 4SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.31, N = 311.6414.5114.5614.6217.1421.2527.8439.181. (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, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X816243240Min: 11.44 / Avg: 11.64 / Max: 11.74Min: 14.33 / Avg: 14.51 / Max: 14.62Min: 14.52 / Avg: 14.56 / Max: 14.64Min: 14.6 / Avg: 14.62 / Max: 14.65Min: 17.08 / Avg: 17.14 / Max: 17.21Min: 21.2 / Avg: 21.25 / Max: 21.27Min: 27.8 / Avg: 27.84 / Max: 27.86Min: 38.64 / Avg: 39.18 / Max: 39.721. (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

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D60K120K180K240K300KSE +/- 209.84, N = 3SE +/- 1039.32, N = 3SE +/- 883.50, N = 3SE +/- 100.66, N = 3SE +/- 636.80, N = 3SE +/- 124.23, N = 3SE +/- 1533.37, N = 3SE +/- 23.33, N = 3282660263657214193196780159687150080143133847931. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D50K100K150K200K250KMin: 282260 / Avg: 282660 / Max: 282970Min: 262350 / Avg: 263656.67 / Max: 265710Min: 213280 / Avg: 214193.33 / Max: 215960Min: 196660 / Avg: 196780 / Max: 196980Min: 158540 / Avg: 159686.67 / Max: 160740Min: 149870 / Avg: 150080 / Max: 150300Min: 140070 / Avg: 143133.33 / Max: 144790Min: 84750 / Avg: 84793.33 / Max: 848301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X7001400210028003500SE +/- 2.52, N = 3SE +/- 3.71, N = 3SE +/- 3.14, N = 3SE +/- 4.33, N = 3SE +/- 5.79, N = 3SE +/- 8.48, N = 3SE +/- 4.89, N = 3SE +/- 10.16, N = 3968.151017.481048.211070.121094.082259.512289.643226.89-fPIC -shared - MIN: 572.97 / MAX: 1056.59-fPIC -shared - MIN: 559.12 / MAX: 1140.75-fPIC -shared - MIN: 623.79 / MAX: 1281.26-fPIC -shared - MIN: 946.62 / MAX: 1184.61-fPIC -shared - MIN: 592.03 / MAX: 1279.91-pie -ldl - MIN: 956.01 / MAX: 3055.94-fPIC -shared - MIN: 2152.44 / MAX: 2412.21-fPIC -shared - MIN: 1561.02 / MAX: 3819.131. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X6001200180024003000Min: 963.37 / Avg: 968.15 / Max: 971.94Min: 1010.12 / Avg: 1017.48 / Max: 1022.03Min: 1043.38 / Avg: 1048.21 / Max: 1054.11Min: 1062.41 / Avg: 1070.12 / Max: 1077.4Min: 1083.59 / Avg: 1094.08 / Max: 1103.57Min: 2244.5 / Avg: 2259.51 / Max: 2273.87Min: 2283.28 / Avg: 2289.64 / Max: 2299.26Min: 3208.17 / Avg: 3226.89 / Max: 3243.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random ReadCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D40M80M120M160M200MSE +/- 1452665.51, N = 3SE +/- 438240.45, N = 3SE +/- 374203.74, N = 3SE +/- 242106.05, N = 3SE +/- 258027.67, N = 3SE +/- 238323.80, N = 3SE +/- 712090.86, N = 3SE +/- 111777.38, N = 31767174621578888871471205201196646331111709889589075480611699533662801. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random ReadCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D30M60M90M120M150MMin: 175020752 / Avg: 176717462.33 / Max: 179608265Min: 157212173 / Avg: 157888887.33 / Max: 158709642Min: 146738243 / Avg: 147120520 / Max: 147868869Min: 119253714 / Avg: 119664633.33 / Max: 120091915Min: 110779015 / Avg: 111170988 / Max: 111657668Min: 95529592 / Avg: 95890753.67 / Max: 96340716Min: 79187821 / Avg: 80611698.67 / Max: 81349122Min: 53231132 / Avg: 53366280 / Max: 535880741. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X7001400210028003500SE +/- 7.35, N = 3SE +/- 6.33, N = 3SE +/- 2.36, N = 3SE +/- 4.71, N = 3SE +/- 3.92, N = 3SE +/- 5.54, N = 3SE +/- 1.18, N = 3SE +/- 7.98, N = 3961.52995.461045.241064.891077.912240.872242.093159.12-fPIC -shared - MIN: 600.73 / MAX: 1050.96-fPIC -shared - MIN: 572.04 / MAX: 1117.78-fPIC -shared - MIN: 611.09 / MAX: 1300.14-fPIC -shared - MIN: 990.74 / MAX: 1208.12-fPIC -shared - MIN: 928.54 / MAX: 1280.56-pie -ldl - MIN: 1638.27 / MAX: 3037.36-fPIC -shared - MIN: 1995.69 / MAX: 2398.11-fPIC -shared - MIN: 1693.84 / MAX: 3677.171. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X5001000150020002500Min: 947.28 / Avg: 961.52 / Max: 971.78Min: 988.12 / Avg: 995.46 / Max: 1008.07Min: 1040.66 / Avg: 1045.24 / Max: 1048.51Min: 1059.61 / Avg: 1064.89 / Max: 1074.29Min: 1071.83 / Avg: 1077.91 / Max: 1085.25Min: 2230.52 / Avg: 2240.87 / Max: 2249.47Min: 2240.67 / Avg: 2242.09 / Max: 2244.42Min: 3148.75 / Avg: 3159.12 / Max: 3174.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20K40K60K80K100KSE +/- 58.60, N = 3SE +/- 37.51, N = 3SE +/- 63.13, N = 3SE +/- 49.83, N = 3SE +/- 30.49, N = 3SE +/- 69.22, N = 3SE +/- 58.86, N = 3SE +/- 224.96, N = 329485317933926740548416534992762991968101. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20K40K60K80K100KMin: 29383 / Avg: 29484.67 / Max: 29586Min: 31724 / Avg: 31793 / Max: 31853Min: 39194 / Avg: 39267.33 / Max: 39393Min: 40498 / Avg: 40548.33 / Max: 40648Min: 41606 / Avg: 41652.67 / Max: 41710Min: 49819 / Avg: 49927 / Max: 50056Min: 62904 / Avg: 62990.67 / Max: 63103Min: 96452 / Avg: 96810 / Max: 972251. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20K40K60K80K100KSE +/- 63.50, N = 3SE +/- 41.87, N = 3SE +/- 48.84, N = 3SE +/- 45.17, N = 3SE +/- 66.85, N = 3SE +/- 32.67, N = 3SE +/- 59.28, N = 3SE +/- 301.80, N = 329841313633978741231422375064263647976681. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20K40K60K80K100KMin: 29721 / Avg: 29841 / Max: 29937Min: 31286 / Avg: 31363 / Max: 31430Min: 39689 / Avg: 39786.67 / Max: 39837Min: 41141 / Avg: 41231.33 / Max: 41278Min: 42140 / Avg: 42236.67 / Max: 42365Min: 50591 / Avg: 50642.33 / Max: 50703Min: 63557 / Avg: 63647.33 / Max: 63759Min: 97076 / Avg: 97668.33 / Max: 980651. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20K40K60K80K100KSE +/- 55.03, N = 3SE +/- 17.05, N = 3SE +/- 27.95, N = 3SE +/- 186.37, N = 3SE +/- 38.08, N = 3SE +/- 62.42, N = 3SE +/- 52.68, N = 3SE +/- 139.75, N = 3351893775046894483104960663394745811132311. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20K40K60K80K100KMin: 35102 / Avg: 35189.33 / Max: 35291Min: 37721 / Avg: 37749.67 / Max: 37780Min: 46862 / Avg: 46894.33 / Max: 46950Min: 47940 / Avg: 48310 / Max: 48534Min: 49531 / Avg: 49606 / Max: 49655Min: 63314 / Avg: 63394 / Max: 63517Min: 74505 / Avg: 74580.67 / Max: 74682Min: 112992 / Avg: 113231 / Max: 1134761. (CXX) g++ options: -O3 -lm -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X0.40280.80561.20841.61122.014SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.560.741.081.391.461.521.631.79MIN: 0.55 / MAX: 0.86MIN: 0.72 / MAX: 3.38MIN: 0.9 / MAX: 1.73MIN: 1.36 / MAX: 1.78MIN: 1.42 / MAX: 1.93MIN: 1.49 / MAX: 2.02MIN: 1.6 / MAX: 2MIN: 1.71 / MAX: 3.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X246810Min: 0.56 / Avg: 0.56 / Max: 0.57Min: 0.74 / Avg: 0.74 / Max: 0.75Min: 0.93 / Avg: 1.08 / Max: 1.19Min: 1.38 / Avg: 1.39 / Max: 1.4Min: 1.45 / Avg: 1.46 / Max: 1.46Min: 1.51 / Avg: 1.52 / Max: 1.53Min: 1.62 / Avg: 1.63 / Max: 1.63Min: 1.77 / Avg: 1.79 / Max: 1.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K48121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 35.425.475.526.116.1314.1116.6517.15-fPIC -shared - MIN: 2.88 / MAX: 12.07-fPIC -shared - MIN: 2.94 / MAX: 12.06-fPIC -shared - MIN: 3.05 / MAX: 16.6-fPIC -shared - MIN: 3.2 / MAX: 13.25-fPIC -shared - MIN: 3.22 / MAX: 66.53-fPIC -shared - MIN: 8.09 / MAX: 21.63-fPIC -shared - MIN: 8.33 / MAX: 24.97-pie -ldl - MIN: 7.97 / MAX: 47.281. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K48121620Min: 5.37 / Avg: 5.42 / Max: 5.45Min: 5.46 / Avg: 5.47 / Max: 5.48Min: 5.51 / Avg: 5.52 / Max: 5.52Min: 6.11 / Avg: 6.11 / Max: 6.11Min: 6.12 / Avg: 6.13 / Max: 6.14Min: 14.07 / Avg: 14.11 / Max: 14.14Min: 16.62 / Avg: 16.65 / Max: 16.67Min: 17.11 / Avg: 17.15 / Max: 17.171. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D80160240320400SE +/- 1.67, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 33732722612262071951411181. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D70140210280350Min: 371 / Avg: 372.67 / Max: 376Min: 271 / Avg: 272 / Max: 273Min: 260 / Avg: 260.67 / Max: 261Min: 225 / Avg: 225.67 / Max: 227Min: 207 / Avg: 207 / Max: 207Min: 195 / Avg: 195.33 / Max: 196Min: 141 / Avg: 141 / Max: 141Min: 118 / Avg: 118.33 / Max: 1191. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D90180270360450SE +/- 0.73, N = 3SE +/- 1.17, N = 3SE +/- 0.96, N = 3SE +/- 2.20, N = 3SE +/- 0.58, N = 3SE +/- 2.05, N = 13SE +/- 0.36, N = 3SE +/- 0.11, N = 3407.22389.78370.71294.15276.88239.69190.63129.811. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D70140210280350Min: 406.2 / Avg: 407.22 / Max: 408.64Min: 388.2 / Avg: 389.78 / Max: 392.07Min: 369 / Avg: 370.71 / Max: 372.33Min: 289.8 / Avg: 294.15 / Max: 296.87Min: 275.9 / Avg: 276.88 / Max: 277.9Min: 236.32 / Avg: 239.69 / Max: 264.13Min: 190.07 / Avg: 190.63 / Max: 191.3Min: 129.7 / Avg: 129.81 / Max: 130.031. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D6001200180024003000SE +/- 0.88, N = 3SE +/- 2.60, N = 3SE +/- 0.58, N = 3SE +/- 3.53, N = 3SE +/- 2.40, N = 3SE +/- 2.85, N = 3SE +/- 1.33, N = 3SE +/- 1.86, N = 39199921226128313081551186328671. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D5001000150020002500Min: 918 / Avg: 919.33 / Max: 921Min: 988 / Avg: 992.33 / Max: 997Min: 1225 / Avg: 1226 / Max: 1227Min: 1276 / Avg: 1282.67 / Max: 1288Min: 1305 / Avg: 1308.33 / Max: 1313Min: 1545 / Avg: 1550.67 / Max: 1554Min: 1862 / Avg: 1863.33 / Max: 1866Min: 2865 / Avg: 2867.33 / Max: 28711. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D2K4K6K8K10KSE +/- 5.17, N = 3SE +/- 1.53, N = 3SE +/- 3.00, N = 3SE +/- 3.28, N = 3SE +/- 12.57, N = 3SE +/- 3.38, N = 3SE +/- 2.52, N = 3SE +/- 34.69, N = 33648385248755026520461907390113741. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D2K4K6K8K10KMin: 3638 / Avg: 3648.33 / Max: 3654Min: 3850 / Avg: 3852 / Max: 3855Min: 4872 / Avg: 4875 / Max: 4881Min: 5021 / Avg: 5025.67 / Max: 5032Min: 5180 / Avg: 5204.33 / Max: 5222Min: 6186 / Avg: 6190.33 / Max: 6197Min: 7385 / Avg: 7390 / Max: 7393Min: 11305 / Avg: 11374.33 / Max: 114111. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D2K4K6K8K10KSE +/- 3.79, N = 3SE +/- 0.67, N = 3SE +/- 3.46, N = 3SE +/- 4.33, N = 3SE +/- 4.81, N = 3SE +/- 11.46, N = 3SE +/- 2.60, N = 3SE +/- 7.57, N = 33710400149555116524462817508115341. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D2K4K6K8K10KMin: 3704 / Avg: 3710 / Max: 3717Min: 4000 / Avg: 4001.33 / Max: 4002Min: 4949 / Avg: 4955 / Max: 4961Min: 5112 / Avg: 5116.33 / Max: 5125Min: 5237 / Avg: 5243.67 / Max: 5253Min: 6267 / Avg: 6281.33 / Max: 6304Min: 7503 / Avg: 7507.67 / Max: 7512Min: 11520 / Avg: 11534 / Max: 115461. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D6001200180024003000SE +/- 1.00, N = 3SE +/- 3.18, N = 3SE +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 2.33, N = 3SE +/- 3.18, N = 3SE +/- 1.00, N = 3SE +/- 1.73, N = 393410011244130513231571188928881. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D5001000150020002500Min: 933 / Avg: 934 / Max: 936Min: 997 / Avg: 1000.67 / Max: 1007Min: 1243 / Avg: 1243.67 / Max: 1245Min: 1303 / Avg: 1304.67 / Max: 1307Min: 1319 / Avg: 1322.67 / Max: 1327Min: 1566 / Avg: 1571.33 / Max: 1577Min: 1887 / Avg: 1889 / Max: 1890Min: 2885 / Avg: 2888 / Max: 28911. (CXX) g++ options: -O3 -lm -ldl

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 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X9001800270036004500SE +/- 7.04, N = 3SE +/- 21.27, N = 6SE +/- 46.64, N = 3SE +/- 14.19, N = 3SE +/- 37.64, N = 3SE +/- 17.80, N = 3SE +/- 2.80, N = 3SE +/- 1.56, N = 34149.472951.492892.122863.752746.742106.481588.411344.171. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X7001400210028003500Min: 4138.02 / Avg: 4149.47 / Max: 4162.28Min: 2866.82 / Avg: 2951.49 / Max: 3004.3Min: 2799.01 / Avg: 2892.12 / Max: 2943.41Min: 2849.56 / Avg: 2863.75 / Max: 2892.12Min: 2671.46 / Avg: 2746.74 / Max: 2784.38Min: 2071.02 / Avg: 2106.48 / Max: 2126.86Min: 1583.09 / Avg: 1588.41 / Max: 1592.56Min: 1342.4 / Avg: 1344.17 / Max: 1347.281. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity 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.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3K6K9K12K15KSE +/- 8.50, N = 3SE +/- 10.26, N = 3SE +/- 8.21, N = 3SE +/- 21.40, N = 3SE +/- 10.90, N = 3SE +/- 15.45, N = 3SE +/- 8.08, N = 3SE +/- 22.48, N = 34363458558145979617373348831134671. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D2K4K6K8K10KMin: 4350 / Avg: 4363 / Max: 4379Min: 4565 / Avg: 4585 / Max: 4599Min: 5804 / Avg: 5813.67 / Max: 5830Min: 5937 / Avg: 5978.67 / Max: 6008Min: 6152 / Avg: 6172.67 / Max: 6189Min: 7305 / Avg: 7333.67 / Max: 7358Min: 8815 / Avg: 8831 / Max: 8841Min: 13423 / Avg: 13467.33 / Max: 134961. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D7001400210028003500SE +/- 2.08, N = 3SE +/- 0.88, N = 3SE +/- 1.15, N = 3SE +/- 1.45, N = 3SE +/- 5.51, N = 3SE +/- 1.15, N = 3SE +/- 0.67, N = 3SE +/- 2.19, N = 3109811541465152515571840221833821. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D6001200180024003000Min: 1094 / Avg: 1098 / Max: 1101Min: 1152 / Avg: 1153.67 / Max: 1155Min: 1463 / Avg: 1465 / Max: 1467Min: 1523 / Avg: 1525.33 / Max: 1528Min: 1551 / Avg: 1557 / Max: 1568Min: 1838 / Avg: 1840 / Max: 1842Min: 2217 / Avg: 2218.33 / Max: 2219Min: 3378 / Avg: 3382.33 / Max: 33851. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D80K160K240K320K400KSE +/- 235.20, N = 3SE +/- 259.60, N = 3SE +/- 269.60, N = 3SE +/- 307.43, N = 3SE +/- 120.32, N = 3SE +/- 247.07, N = 3SE +/- 610.10, N = 3SE +/- 534.98, N = 31205761267691600821641721693342034522391003692901. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D60K120K180K240K300KMin: 120106 / Avg: 120576.33 / Max: 120818Min: 126435 / Avg: 126768.67 / Max: 127280Min: 159582 / Avg: 160081.67 / Max: 160507Min: 163615 / Avg: 164172 / Max: 164676Min: 169138 / Avg: 169334.33 / Max: 169553Min: 202987 / Avg: 203452.33 / Max: 203829Min: 237881 / Avg: 239099.67 / Max: 239762Min: 368700 / Avg: 369290 / Max: 3703581. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D80K160K240K320K400KSE +/- 37.35, N = 3SE +/- 250.15, N = 3SE +/- 83.78, N = 3SE +/- 119.23, N = 3SE +/- 323.61, N = 3SE +/- 253.11, N = 3SE +/- 539.95, N = 3SE +/- 512.84, N = 31222201280391620981670321709602056322427943738571. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D60K120K180K240K300KMin: 122147 / Avg: 122219.67 / Max: 122271Min: 127661 / Avg: 128039.33 / Max: 128512Min: 161997 / Avg: 162097.67 / Max: 162264Min: 166825 / Avg: 167032.33 / Max: 167238Min: 170568 / Avg: 170960 / Max: 171602Min: 205286 / Avg: 205632 / Max: 206125Min: 241723 / Avg: 242793.67 / Max: 243451Min: 372859 / Avg: 373857 / Max: 3745611. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D90K180K270K360K450KSE +/- 74.18, N = 3SE +/- 1232.82, N = 3SE +/- 256.46, N = 3SE +/- 434.74, N = 3SE +/- 276.12, N = 3SE +/- 317.64, N = 3SE +/- 265.57, N = 3SE +/- 1552.60, N = 31434991513551895001950742008602397452842284366781. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D80K160K240K320K400KMin: 143362 / Avg: 143498.67 / Max: 143617Min: 149765 / Avg: 151355 / Max: 153782Min: 189002 / Avg: 189499.67 / Max: 189856Min: 194208 / Avg: 195073.67 / Max: 195577Min: 200549 / Avg: 200860.33 / Max: 201411Min: 239111 / Avg: 239745 / Max: 240097Min: 283756 / Avg: 284227.67 / Max: 284675Min: 433586 / Avg: 436678.33 / Max: 4384691. (CXX) g++ options: -O3 -lm -ldl

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Server Room - Acceleration: CPU-onlyCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X1.04362.08723.13084.17445.218SE +/- 0.005, N = 10SE +/- 0.004, N = 9SE +/- 0.005, N = 9SE +/- 0.003, N = 9SE +/- 0.011, N = 9SE +/- 0.004, N = 9SE +/- 0.007, N = 7SE +/- 0.002, N = 71.5302.3402.3822.4832.5092.7694.4804.638
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Server Room - Acceleration: CPU-onlyCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X246810Min: 1.51 / Avg: 1.53 / Max: 1.56Min: 2.33 / Avg: 2.34 / Max: 2.36Min: 2.36 / Avg: 2.38 / Max: 2.41Min: 2.47 / Avg: 2.48 / Max: 2.5Min: 2.47 / Avg: 2.51 / Max: 2.56Min: 2.76 / Avg: 2.77 / Max: 2.79Min: 4.45 / Avg: 4.48 / Max: 4.5Min: 4.63 / Avg: 4.64 / Max: 4.65

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 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.36, N = 12SE +/- 0.69, N = 3SE +/- 0.20, N = 3SE +/- 0.43, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 2.10, N = 351.8159.1760.9968.1468.8877.81129.90157.031. (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, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X306090120150Min: 49.99 / Avg: 51.81 / Max: 53.24Min: 57.79 / Avg: 59.17 / Max: 59.9Min: 60.68 / Avg: 60.99 / Max: 61.36Min: 67.32 / Avg: 68.14 / Max: 68.76Min: 68.73 / Avg: 68.88 / Max: 69.07Min: 77.78 / Avg: 77.81 / Max: 77.84Min: 129.52 / Avg: 129.9 / Max: 130.27Min: 152.87 / Avg: 157.03 / Max: 159.591. (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

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 34.434.684.744.805.018.9411.5913.30-fPIC -shared - MIN: 3.56 / MAX: 11.9-fPIC -shared - MIN: 3.47 / MAX: 15.64-fPIC -shared - MIN: 3.48 / MAX: 12.61-fPIC -shared - MIN: 3.57 / MAX: 13.05-fPIC -shared - MIN: 3.46 / MAX: 16.32-fPIC -shared - MIN: 6.65 / MAX: 16.68-pie -ldl - MIN: 6.67 / MAX: 43.83-fPIC -shared - MIN: 7.18 / MAX: 24.981. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X48121620Min: 4.4 / Avg: 4.43 / Max: 4.45Min: 4.67 / Avg: 4.68 / Max: 4.69Min: 4.73 / Avg: 4.74 / Max: 4.75Min: 4.79 / Avg: 4.8 / Max: 4.81Min: 5 / Avg: 5.01 / Max: 5.02Min: 8.93 / Avg: 8.94 / Max: 8.97Min: 11.47 / Avg: 11.59 / Max: 11.73Min: 13.14 / Avg: 13.3 / Max: 13.441. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

Primesieve

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D50100150200250SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 375.1183.0398.30110.64130.84133.29146.11223.961. (CXX) g++ options: -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D4080120160200Min: 74.72 / Avg: 75.11 / Max: 75.5Min: 83 / Avg: 83.03 / Max: 83.05Min: 98.08 / Avg: 98.3 / Max: 98.56Min: 110.5 / Avg: 110.64 / Max: 110.73Min: 130.39 / Avg: 130.84 / Max: 131.08Min: 133.01 / Avg: 133.29 / Max: 133.58Min: 145.96 / Avg: 146.11 / Max: 146.19Min: 223.57 / Avg: 223.96 / Max: 224.551. (CXX) g++ options: -O3

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Matrix MathRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D30K60K90K120K150KSE +/- 122.60, N = 3SE +/- 110.52, N = 3SE +/- 185.60, N = 3SE +/- 88.42, N = 3SE +/- 50.79, N = 3SE +/- 67.89, N = 3SE +/- 49.54, N = 3SE +/- 7.51, N = 3130380.61122854.78103299.3898472.6892087.0778872.2166358.1043765.161. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Matrix MathRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20K40K60K80K100KMin: 130157.36 / Avg: 130380.61 / Max: 130580.03Min: 122646.06 / Avg: 122854.78 / Max: 123022.18Min: 103074.19 / Avg: 103299.38 / Max: 103667.54Min: 98307.85 / Avg: 98472.68 / Max: 98610.59Min: 91988.27 / Avg: 92087.07 / Max: 92156.92Min: 78738.66 / Avg: 78872.21 / Max: 78960.26Min: 66271.09 / Avg: 66358.1 / Max: 66442.64Min: 43755.91 / Avg: 43765.16 / Max: 43780.041. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1.13852.2773.41554.5545.6925SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.064.793.853.783.523.242.541.70MIN: 2.28 / MAX: 5.71MIN: 2.1 / MAX: 5.42MIN: 1.45 / MAX: 4.38MIN: 1.58 / MAX: 4.31MIN: 1.41 / MAX: 4.03MIN: 1.21 / MAX: 3.77MIN: 0.89 / MAX: 2.99MIN: 0.51 / MAX: 2.07
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D246810Min: 5.03 / Avg: 5.06 / Max: 5.09Min: 4.77 / Avg: 4.79 / Max: 4.81Min: 3.81 / Avg: 3.85 / Max: 3.87Min: 3.78 / Avg: 3.78 / Max: 3.79Min: 3.51 / Avg: 3.52 / Max: 3.53Min: 3.21 / Avg: 3.24 / Max: 3.27Min: 2.54 / Avg: 2.54 / Max: 2.55Min: 1.69 / Avg: 1.7 / Max: 1.71

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D0.41780.83561.25341.67122.089SE +/- 0.00530, N = 3SE +/- 0.00042, N = 3SE +/- 0.00099, N = 3SE +/- 0.00066, N = 3SE +/- 0.00030, N = 3SE +/- 0.00111, N = 3SE +/- 0.00056, N = 3SE +/- 0.00120, N = 30.623910.768880.814841.008531.076751.093171.495841.85679
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D246810Min: 0.62 / Avg: 0.62 / Max: 0.63Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.81 / Avg: 0.81 / Max: 0.82Min: 1.01 / Avg: 1.01 / Max: 1.01Min: 1.08 / Avg: 1.08 / Max: 1.08Min: 1.09 / Avg: 1.09 / Max: 1.1Min: 1.5 / Avg: 1.5 / Max: 1.5Min: 1.85 / Avg: 1.86 / Max: 1.86

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 0.60, N = 3SE +/- 0.13, N = 3SE +/- 0.34, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 1.20, N = 3SE +/- 0.98, N = 3SE +/- 0.97, N = 3274.17281.71282.23306.37307.56434.99684.92815.12-fPIC -shared - MIN: 244.04 / MAX: 280.45-fPIC -shared - MIN: 266.25 / MAX: 291.86-fPIC -shared - MIN: 268.77 / MAX: 288.18-fPIC -shared - MIN: 154.67 / MAX: 315.35-fPIC -shared - MIN: 292.86 / MAX: 318.13-pie -ldl - MIN: 264.24 / MAX: 1313.32-fPIC -shared - MIN: 600.38 / MAX: 700.03-fPIC -shared - MIN: 670.44 / MAX: 830.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X140280420560700Min: 273.26 / Avg: 274.17 / Max: 275.31Min: 281.46 / Avg: 281.71 / Max: 281.92Min: 281.62 / Avg: 282.23 / Max: 282.79Min: 306 / Avg: 306.37 / Max: 306.79Min: 307.31 / Avg: 307.56 / Max: 307.7Min: 433.42 / Avg: 434.99 / Max: 437.35Min: 683.02 / Avg: 684.92 / Max: 686.27Min: 813.44 / Avg: 815.12 / Max: 816.81. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X80160240320400123.76135.21158.76163.99172.13250.46275.41367.891. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

Primesieve

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D48121620SE +/- 0.008, N = 7SE +/- 0.005, N = 6SE +/- 0.007, N = 6SE +/- 0.013, N = 5SE +/- 0.014, N = 5SE +/- 0.021, N = 5SE +/- 0.006, N = 4SE +/- 0.015, N = 36.1096.8488.0579.13510.64811.32711.92217.9681. (CXX) g++ options: -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D510152025Min: 6.08 / Avg: 6.11 / Max: 6.14Min: 6.83 / Avg: 6.85 / Max: 6.87Min: 8.03 / Avg: 8.06 / Max: 8.08Min: 9.1 / Avg: 9.14 / Max: 9.18Min: 10.62 / Avg: 10.65 / Max: 10.7Min: 11.26 / Avg: 11.33 / Max: 11.38Min: 11.91 / Avg: 11.92 / Max: 11.94Min: 17.95 / Avg: 17.97 / Max: 181. (CXX) g++ options: -O3

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 0.14Test: Apache Spark BayesCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 0.90, N = 3SE +/- 1.55, N = 3SE +/- 2.66, N = 3SE +/- 0.10, N = 3SE +/- 0.71, N = 3SE +/- 6.84, N = 3SE +/- 1.72, N = 3SE +/- 13.79, N = 3665.9779.2781.1785.5792.5848.51531.41927.8MIN: 481.68 / MAX: 667.68MIN: 574.45 / MAX: 792.41MIN: 577.05 / MAX: 785.48MIN: 581.49 / MAX: 785.65MIN: 587.35 / MAX: 793.32MIN: 621.07 / MAX: 862.03MIN: 1165.35 / MAX: 1533.83MIN: 1486.71 / MAX: 1954.98
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark BayesCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X30060090012001500Min: 664.9 / Avg: 665.87 / Max: 667.68Min: 776.31 / Avg: 779.21 / Max: 781.6Min: 776.3 / Avg: 781.12 / Max: 785.48Min: 785.33 / Avg: 785.52 / Max: 785.65Min: 791.09 / Avg: 792.5 / Max: 793.32Min: 840.1 / Avg: 848.46 / Max: 862.03Min: 1528.05 / Avg: 1531.37 / Max: 1533.83Min: 1910.07 / Avg: 1927.83 / Max: 1954.98

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1.02152.0433.06454.0865.1075SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 154.544.343.423.353.202.952.301.57MIN: 1.97 / MAX: 5.14MIN: 1.84 / MAX: 4.94MIN: 1.42 / MAX: 3.89MIN: 1.31 / MAX: 3.9MIN: 1.17 / MAX: 3.68MIN: 1.12 / MAX: 3.44MIN: 0.76 / MAX: 2.68MIN: 0.43 / MAX: 1.98
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D246810Min: 4.49 / Avg: 4.54 / Max: 4.58Min: 4.31 / Avg: 4.34 / Max: 4.36Min: 3.39 / Avg: 3.42 / Max: 3.44Min: 3.31 / Avg: 3.35 / Max: 3.41Min: 3.16 / Avg: 3.2 / Max: 3.25Min: 2.93 / Avg: 2.95 / Max: 2.97Min: 2.28 / Avg: 2.3 / Max: 2.31Min: 1.52 / Avg: 1.57 / Max: 1.64

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D30060090012001500SE +/- 0.52, N = 3SE +/- 0.46, N = 3SE +/- 0.23, N = 3SE +/- 0.20, N = 3SE +/- 0.35, N = 3SE +/- 0.82, N = 3SE +/- 1.18, N = 3SE +/- 0.68, N = 3470.53488.91596.21624.07652.55754.35924.811347.10
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D2004006008001000Min: 469.55 / Avg: 470.53 / Max: 471.31Min: 488.16 / Avg: 488.91 / Max: 489.76Min: 595.85 / Avg: 596.21 / Max: 596.63Min: 623.81 / Avg: 624.07 / Max: 624.47Min: 651.91 / Avg: 652.55 / Max: 653.13Min: 753.22 / Avg: 754.35 / Max: 755.95Min: 922.47 / Avg: 924.81 / Max: 926.28Min: 1345.75 / Avg: 1347.1 / Max: 1347.87

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 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 5950X140280420560700SE +/- 2.18, N = 5SE +/- 1.55, N = 5SE +/- 0.74, N = 5SE +/- 0.94, N = 4SE +/- 1.72, N = 4SE +/- 0.49, N = 4SE +/- 1.04, N = 5SE +/- 0.52, N = 4628.96551.29550.67480.78448.95441.99422.31219.781. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 5950X110220330440550Min: 625 / Avg: 628.96 / Max: 636.94Min: 546.45 / Avg: 551.29 / Max: 555.56Min: 549.45 / Avg: 550.67 / Max: 552.49Min: 478.47 / Avg: 480.77 / Max: 483.09Min: 444.44 / Avg: 448.95 / Max: 452.49Min: 440.53 / Avg: 441.99 / Max: 442.48Min: 420.17 / Avg: 422.31 / Max: 425.53Min: 218.34 / Avg: 219.78 / Max: 220.751. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D80160240320400SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.48, N = 3SE +/- 0.26, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.23, N = 3SE +/- 0.30, N = 3130.12138.52155.35172.38184.32204.89255.98370.89
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D70140210280350Min: 129.94 / Avg: 130.12 / Max: 130.3Min: 138.46 / Avg: 138.52 / Max: 138.56Min: 154.68 / Avg: 155.35 / Max: 156.27Min: 171.91 / Avg: 172.38 / Max: 172.82Min: 184.07 / Avg: 184.32 / Max: 184.5Min: 204.36 / Avg: 204.89 / Max: 205.22Min: 255.53 / Avg: 255.98 / Max: 256.27Min: 370.36 / Avg: 370.89 / Max: 371.39

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1.1M2.2M3.3M4.4M5.5MSE +/- 43833.77, N = 15SE +/- 67196.26, N = 3SE +/- 37609.63, N = 15SE +/- 50896.48, N = 3SE +/- 45143.50, N = 3SE +/- 14386.65, N = 3SE +/- 21440.29, N = 15SE +/- 18825.02, N = 34980738.044756204.014310974.123823661.613464453.233135222.882540395.761752396.441. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D900K1800K2700K3600K4500KMin: 4604539.4 / Avg: 4980738.04 / Max: 5137903.59Min: 4652134.41 / Avg: 4756204.01 / Max: 4881880.85Min: 3992476.7 / Avg: 4310974.12 / Max: 4467076.04Min: 3721931.01 / Avg: 3823661.61 / Max: 3877612Min: 3416983.68 / Avg: 3464453.23 / Max: 3554699.58Min: 3108232.3 / Avg: 3135222.88 / Max: 3157352.91Min: 2377336.46 / Avg: 2540395.76 / Max: 2650263.39Min: 1724845.94 / Avg: 1752396.44 / Max: 1788394.921. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Ryzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950X0.94281.88562.82843.77124.714SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.481.962.523.453.613.663.834.19MIN: 1.45 / MAX: 1.75MIN: 1.93 / MAX: 4.46MIN: 2.24 / MAX: 3.55MIN: 3.4 / MAX: 3.81MIN: 3.55 / MAX: 4.12MIN: 3.59 / MAX: 4.05MIN: 3.75 / MAX: 5.16MIN: 4.1 / MAX: 4.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Ryzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950X246810Min: 1.47 / Avg: 1.48 / Max: 1.49Min: 1.96 / Avg: 1.96 / Max: 1.96Min: 2.27 / Avg: 2.52 / Max: 2.86Min: 3.44 / Avg: 3.45 / Max: 3.46Min: 3.58 / Avg: 3.61 / Max: 3.63Min: 3.64 / Avg: 3.66 / Max: 3.67Min: 3.81 / Avg: 3.83 / Max: 3.85Min: 4.18 / Avg: 4.19 / Max: 4.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 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 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D306090120150SE +/- 0.17, N = 7SE +/- 0.19, N = 7SE +/- 0.12, N = 7SE +/- 0.14, N = 6SE +/- 0.10, N = 6SE +/- 0.10, N = 6SE +/- 0.03, N = 4SE +/- 0.03, N = 4145.06117.57113.19105.92105.1678.3852.6651.331. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D306090120150Min: 144.07 / Avg: 145.06 / Max: 145.46Min: 116.86 / Avg: 117.57 / Max: 118.24Min: 112.65 / Avg: 113.19 / Max: 113.67Min: 105.42 / Avg: 105.92 / Max: 106.4Min: 104.88 / Avg: 105.16 / Max: 105.51Min: 78.15 / Avg: 78.38 / Max: 78.8Min: 52.6 / Avg: 52.66 / Max: 52.72Min: 51.29 / Avg: 51.33 / Max: 51.421. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D100200300400500SE +/- 1.05, N = 15SE +/- 0.99, N = 15SE +/- 1.27, N = 11SE +/- 0.98, N = 11SE +/- 0.86, N = 15SE +/- 0.58, N = 9SE +/- 0.61, N = 9SE +/- 0.51, N = 8446.60391.54381.97331.57315.27219.69217.70158.481. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D80160240320400Min: 433.38 / Avg: 446.6 / Max: 451.79Min: 378.76 / Avg: 391.54 / Max: 394.56Min: 370.61 / Avg: 381.97 / Max: 384.53Min: 322.28 / Avg: 331.57 / Max: 334.26Min: 303.89 / Avg: 315.27 / Max: 318.25Min: 216.78 / Avg: 219.69 / Max: 222.92Min: 213.01 / Avg: 217.7 / Max: 219.28Min: 155.2 / Avg: 158.48 / Max: 159.721. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K0.37350.7471.12051.4941.8675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.590.600.610.670.680.851.111.66-fPIC -shared - MIN: 0.34 / MAX: 10.73-fPIC -shared - MIN: 0.34 / MAX: 7.47-fPIC -shared - MIN: 0.33 / MAX: 11.01-fPIC -shared - MIN: 0.35 / MAX: 8.04-fPIC -shared - MIN: 0.36 / MAX: 8.31-fPIC -shared - MIN: 0.51 / MAX: 8.11-fPIC -shared - MIN: 0.64 / MAX: 15.48-pie -ldl - MIN: 0.69 / MAX: 17.941. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K246810Min: 0.58 / Avg: 0.59 / Max: 0.59Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.61 / Avg: 0.61 / Max: 0.61Min: 0.67 / Avg: 0.67 / Max: 0.67Min: 0.68 / Avg: 0.68 / Max: 0.68Min: 0.85 / Avg: 0.85 / Max: 0.85Min: 1.1 / Avg: 1.11 / Max: 1.11Min: 1.65 / Avg: 1.66 / Max: 1.661. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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: PSNR/SSIM Optimized - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D306090120150SE +/- 0.66, N = 8SE +/- 0.17, N = 7SE +/- 0.09, N = 7SE +/- 0.15, N = 7SE +/- 0.13, N = 7SE +/- 0.14, N = 6SE +/- 0.13, N = 4SE +/- 0.04, N = 4153.15125.45121.62111.19110.1183.1256.6854.531. (CC) gcc options: -O3 -fcommon -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 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D306090120150Min: 148.97 / Avg: 153.15 / Max: 154.64Min: 125.15 / Avg: 125.45 / Max: 126.41Min: 121.33 / Avg: 121.62 / Max: 122.05Min: 110.7 / Avg: 111.19 / Max: 111.85Min: 109.73 / Avg: 110.11 / Max: 110.54Min: 82.58 / Avg: 83.12 / Max: 83.5Min: 56.33 / Avg: 56.68 / Max: 56.88Min: 54.46 / Avg: 54.53 / Max: 54.641. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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: particle_volume/scivis/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D3691215SE +/- 0.00250, N = 3SE +/- 0.00149, N = 3SE +/- 0.00443, N = 3SE +/- 0.00390, N = 3SE +/- 0.03342, N = 3SE +/- 0.00336, N = 3SE +/- 0.00344, N = 3SE +/- 0.00227, N = 39.706278.063427.652336.318976.000525.644344.094073.46547
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D3691215Min: 9.7 / Avg: 9.71 / Max: 9.71Min: 8.06 / Avg: 8.06 / Max: 8.07Min: 7.65 / Avg: 7.65 / Max: 7.66Min: 6.31 / Avg: 6.32 / Max: 6.32Min: 5.93 / Avg: 6 / Max: 6.03Min: 5.64 / Avg: 5.64 / Max: 5.65Min: 4.09 / Avg: 4.09 / Max: 4.1Min: 3.46 / Avg: 3.47 / Max: 3.47

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D6K12K18K24K30KSE +/- 15.17, N = 3SE +/- 27.74, N = 3SE +/- 61.06, N = 3SE +/- 63.18, N = 3SE +/- 59.61, N = 3SE +/- 30.52, N = 3SE +/- 66.11, N = 3SE +/- 1.71, N = 326151.5523609.2619881.0419215.5417556.5114354.7813500.819344.30-fPIC -shared-fPIC -shared-fPIC -shared-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D5K10K15K20K25KMin: 26126.91 / Avg: 26151.55 / Max: 26179.19Min: 23562.19 / Avg: 23609.26 / Max: 23658.22Min: 19782.55 / Avg: 19881.04 / Max: 19992.81Min: 19145.71 / Avg: 19215.54 / Max: 19341.66Min: 17442.48 / Avg: 17556.51 / Max: 17643.63Min: 14304 / Avg: 14354.78 / Max: 14409.49Min: 13383.69 / Avg: 13500.81 / Max: 13612.51Min: 9340.97 / Avg: 9344.3 / Max: 9346.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Memory CopyingRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D17003400510068008500SE +/- 18.75, N = 3SE +/- 49.82, N = 3SE +/- 24.77, N = 3SE +/- 6.34, N = 3SE +/- 17.39, N = 3SE +/- 0.37, N = 3SE +/- 8.40, N = 3SE +/- 33.30, N = 47707.897123.557110.756040.275498.574684.994658.292763.441. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Memory CopyingRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D13002600390052006500Min: 7688.02 / Avg: 7707.89 / Max: 7745.36Min: 7072.77 / Avg: 7123.55 / Max: 7223.18Min: 7061.21 / Avg: 7110.75 / Max: 7136.2Min: 6028.47 / Avg: 6040.27 / Max: 6050.2Min: 5464.21 / Avg: 5498.57 / Max: 5520.44Min: 4684.4 / Avg: 4684.99 / Max: 4685.67Min: 4642.79 / Avg: 4658.29 / Max: 4671.63Min: 2724.35 / Avg: 2763.44 / Max: 2863.131. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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: particle_volume/ao/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D3691215SE +/- 0.02158, N = 3SE +/- 0.03437, N = 3SE +/- 0.00289, N = 3SE +/- 0.00967, N = 3SE +/- 0.00302, N = 3SE +/- 0.00225, N = 3SE +/- 0.00176, N = 3SE +/- 0.00276, N = 39.744088.042507.548596.416326.033185.660574.104693.50683
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D3691215Min: 9.71 / Avg: 9.74 / Max: 9.78Min: 7.97 / Avg: 8.04 / Max: 8.08Min: 7.54 / Avg: 7.55 / Max: 7.55Min: 6.41 / Avg: 6.42 / Max: 6.44Min: 6.03 / Avg: 6.03 / Max: 6.04Min: 5.66 / Avg: 5.66 / Max: 5.66Min: 4.1 / Avg: 4.1 / Max: 4.11Min: 3.5 / Avg: 3.51 / Max: 3.51

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CryptoRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D10K20K30K40K50KSE +/- 80.13, N = 3SE +/- 54.01, N = 3SE +/- 37.57, N = 3SE +/- 32.03, N = 3SE +/- 25.81, N = 3SE +/- 39.92, N = 3SE +/- 14.47, N = 3SE +/- 7.19, N = 346618.1144383.1643702.3435166.0732628.3931804.8923725.3216797.661. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CryptoRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D8K16K24K32K40KMin: 46461.74 / Avg: 46618.11 / Max: 46726.67Min: 44281.1 / Avg: 44383.16 / Max: 44464.86Min: 43636.49 / Avg: 43702.34 / Max: 43766.62Min: 35113.57 / Avg: 35166.07 / Max: 35224.1Min: 32594.73 / Avg: 32628.39 / Max: 32679.12Min: 31755.65 / Avg: 31804.89 / Max: 31883.94Min: 23704.96 / Avg: 23725.32 / Max: 23753.31Min: 16788.86 / Avg: 16797.66 / Max: 16811.91. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.214.294.324.684.788.369.6611.66-fPIC -shared - MIN: 2.59 / MAX: 14.22-fPIC -shared - MIN: 2.68 / MAX: 13.51-fPIC -shared - MIN: 2.64 / MAX: 11.17-fPIC -shared - MIN: 3.02 / MAX: 12.65-fPIC -shared - MIN: 2.79 / MAX: 12.14-pie -ldl - MIN: 4.01 / MAX: 24.35-fPIC -shared - MIN: 6.14 / MAX: 16.95-fPIC -shared - MIN: 6.09 / MAX: 20.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X3691215Min: 4.18 / Avg: 4.21 / Max: 4.26Min: 4.29 / Avg: 4.29 / Max: 4.3Min: 4.31 / Avg: 4.32 / Max: 4.32Min: 4.65 / Avg: 4.68 / Max: 4.7Min: 4.77 / Avg: 4.78 / Max: 4.79Min: 8.34 / Avg: 8.36 / Max: 8.37Min: 9.64 / Avg: 9.66 / Max: 9.69Min: 11.63 / Avg: 11.66 / Max: 11.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D30060090012001500SE +/- 2.59, N = 3SE +/- 1.53, N = 3SE +/- 1.41, N = 3SE +/- 1.42, N = 3SE +/- 0.61, N = 3SE +/- 5.26, N = 3SE +/- 0.19, N = 3SE +/- 1.47, N = 31195.061115.691106.99904.02828.76780.35612.91432.771. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D2004006008001000Min: 1191.52 / Avg: 1195.06 / Max: 1200.11Min: 1113.85 / Avg: 1115.69 / Max: 1118.72Min: 1105.22 / Avg: 1106.99 / Max: 1109.78Min: 901.36 / Avg: 904.02 / Max: 906.21Min: 827.89 / Avg: 828.76 / Max: 829.93Min: 773.93 / Avg: 780.35 / Max: 790.78Min: 612.69 / Avg: 612.91 / Max: 613.28Min: 430.96 / Avg: 432.77 / Max: 435.691. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D306090120150SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.39, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 3SE +/- 0.27, N = 3SE +/- 0.17, N = 349.3552.3052.9465.2569.5476.6297.27136.16
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D306090120150Min: 49.2 / Avg: 49.35 / Max: 49.43Min: 52.17 / Avg: 52.3 / Max: 52.39Min: 52.16 / Avg: 52.94 / Max: 53.43Min: 65.11 / Avg: 65.25 / Max: 65.45Min: 69.3 / Avg: 69.54 / Max: 69.68Min: 76.21 / Avg: 76.62 / Max: 76.83Min: 96.75 / Avg: 97.27 / Max: 97.67Min: 135.89 / Avg: 136.16 / Max: 136.47

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.34VGR Performance MetricCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D100K200K300K400K500K4586674306383940943221472979502743912382281667301. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D30060090012001500SE +/- 0.20, N = 3SE +/- 0.55, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.24, N = 3SE +/- 0.57, N = 3SE +/- 0.40, N = 3SE +/- 0.58, N = 3505.52525.08548.48644.86674.45829.58953.951389.67
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D2004006008001000Min: 505.3 / Avg: 505.52 / Max: 505.91Min: 524.3 / Avg: 525.08 / Max: 526.14Min: 548.26 / Avg: 548.48 / Max: 548.62Min: 644.68 / Avg: 644.86 / Max: 645.21Min: 673.98 / Avg: 674.45 / Max: 674.73Min: 828.65 / Avg: 829.58 / Max: 830.61Min: 953.16 / Avg: 953.95 / Max: 954.41Min: 1389.05 / Avg: 1389.67 / Max: 1390.83

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D400M800M1200M1600M2000MSE +/- 2138535.32, N = 3SE +/- 1934195.21, N = 3SE +/- 517472.49, N = 3SE +/- 1102018.35, N = 3SE +/- 602771.38, N = 3SE +/- 581186.53, N = 3SE +/- 1106661.65, N = 3SE +/- 750022.22, N = 31715700000163746666714861333331237166667111290000010686333338375800006287500001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D300M600M900M1200M1500MMin: 1712100000 / Avg: 1715700000 / Max: 1719500000Min: 1633600000 / Avg: 1637466666.67 / Max: 1639500000Min: 1485100000 / Avg: 1486133333.33 / Max: 1486700000Min: 1235000000 / Avg: 1237166666.67 / Max: 1238600000Min: 1112200000 / Avg: 1112900000 / Max: 1114100000Min: 1067700000 / Avg: 1068633333.33 / Max: 1069700000Min: 835380000 / Avg: 837580000 / Max: 838890000Min: 627990000 / Avg: 628750000 / Max: 6302500001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D90180270360450SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.31, N = 3SE +/- 0.33, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 3SE +/- 0.40, N = 3158.52167.95185.26209.15223.89245.98310.18432.43
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D80160240320400Min: 158.44 / Avg: 158.52 / Max: 158.61Min: 167.64 / Avg: 167.95 / Max: 168.17Min: 185.05 / Avg: 185.26 / Max: 185.45Min: 208.58 / Avg: 209.15 / Max: 209.63Min: 223.43 / Avg: 223.89 / Max: 224.54Min: 245.42 / Avg: 245.98 / Max: 246.29Min: 309.99 / Avg: 310.18 / Max: 310.33Min: 431.87 / Avg: 432.43 / Max: 433.21

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 1.3.1Benchmark: vklBenchmark ISPCRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D90180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3421408348327323230229156MIN: 53 / MAX: 5933MIN: 55 / MAX: 5382MIN: 37 / MAX: 4964MIN: 42 / MAX: 4553MIN: 39 / MAX: 4308MIN: 28 / MAX: 3463MIN: 30 / MAX: 2942MIN: 17 / MAX: 2343
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D70140210280350Min: 420 / Avg: 420.67 / Max: 421Min: 407 / Avg: 407.67 / Max: 408Min: 346 / Avg: 347.67 / Max: 350Min: 326 / Avg: 326.67 / Max: 327Min: 323 / Avg: 323 / Max: 323Min: 230 / Avg: 230.33 / Max: 231Min: 228 / Avg: 228.67 / Max: 229Min: 156 / Avg: 156 / Max: 156

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D7K14K21K28K35KSE +/- 52.68, N = 3SE +/- 41.67, N = 3SE +/- 105.58, N = 3SE +/- 68.86, N = 3SE +/- 37.58, N = 3SE +/- 76.59, N = 3SE +/- 38.10, N = 3SE +/- 121.71, N = 33265431143276812474523456213351672212183
OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D6K12K18K24K30KMin: 32549 / Avg: 32654.33 / Max: 32709Min: 31060 / Avg: 31143.33 / Max: 31185Min: 27509 / Avg: 27680.67 / Max: 27873Min: 24653 / Avg: 24745.33 / Max: 24880Min: 23389 / Avg: 23456 / Max: 23519Min: 21199 / Avg: 21335.33 / Max: 21464Min: 16648 / Avg: 16722.33 / Max: 16774Min: 11952 / Avg: 12183 / Max: 12365

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.315.805.724.794.364.103.222.381. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215Min: 6.3 / Avg: 6.31 / Max: 6.33Min: 5.79 / Avg: 5.8 / Max: 5.8Min: 5.71 / Avg: 5.72 / Max: 5.73Min: 4.79 / Avg: 4.79 / Max: 4.8Min: 4.36 / Avg: 4.36 / Max: 4.36Min: 4.09 / Avg: 4.1 / Max: 4.1Min: 3.22 / Avg: 3.22 / Max: 3.22Min: 2.38 / Avg: 2.38 / Max: 2.381. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D4080120160200SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 363.7567.6377.1384.2289.8397.01124.81168.81
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D306090120150Min: 63.61 / Avg: 63.75 / Max: 63.89Min: 67.55 / Avg: 67.63 / Max: 67.67Min: 76.98 / Avg: 77.13 / Max: 77.21Min: 84.22 / Avg: 84.22 / Max: 84.22Min: 89.76 / Avg: 89.83 / Max: 89.91Min: 96.93 / Avg: 97.01 / Max: 97.15Min: 124.51 / Avg: 124.81 / Max: 125.01Min: 168.78 / Avg: 168.81 / Max: 168.87

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D48121620SE +/- 0.0136, N = 4SE +/- 0.0077, N = 3SE +/- 0.0056, N = 3SE +/- 0.0144, N = 3SE +/- 0.0185, N = 3SE +/- 0.0022, N = 3SE +/- 0.0105, N = 3SE +/- 0.0046, N = 317.812516.360316.051213.398712.024212.00788.99666.73231. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D510152025Min: 17.78 / Avg: 17.81 / Max: 17.84Min: 16.35 / Avg: 16.36 / Max: 16.37Min: 16.04 / Avg: 16.05 / Max: 16.06Min: 13.38 / Avg: 13.4 / Max: 13.43Min: 12 / Avg: 12.02 / Max: 12.06Min: 12 / Avg: 12.01 / Max: 12.01Min: 8.98 / Avg: 9 / Max: 9.02Min: 6.73 / Avg: 6.73 / Max: 6.741. (CXX) g++ options: -O3 -flto -pthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D816243240SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 336.3836.0430.1727.5927.0522.5318.8413.77MIN: 35.77 / MAX: 37.25MIN: 35.71 / MAX: 36.68MIN: 28.37 / MAX: 32.49MIN: 27.28 / MAX: 28.34MIN: 26.85 / MAX: 27.56MIN: 22.23 / MAX: 23.05MIN: 18.68 / MAX: 19.26MIN: 13.66 / MAX: 13.95
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D816243240Min: 36.1 / Avg: 36.38 / Max: 36.54Min: 35.98 / Avg: 36.04 / Max: 36.11Min: 30.15 / Avg: 30.17 / Max: 30.19Min: 27.5 / Avg: 27.59 / Max: 27.68Min: 27.03 / Avg: 27.05 / Max: 27.06Min: 22.42 / Avg: 22.53 / Max: 22.72Min: 18.82 / Avg: 18.84 / Max: 18.87Min: 13.71 / Avg: 13.77 / Max: 13.83

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D0.41690.83381.25071.66762.0845SE +/- 0.0009, N = 3SE +/- 0.0017, N = 3SE +/- 0.0006, N = 3SE +/- 0.0013, N = 3SE +/- 0.0014, N = 3SE +/- 0.0035, N = 3SE +/- 0.0005, N = 3SE +/- 0.0006, N = 31.85311.69471.53731.39511.26561.26020.93860.70131. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D246810Min: 1.85 / Avg: 1.85 / Max: 1.85Min: 1.69 / Avg: 1.69 / Max: 1.7Min: 1.54 / Avg: 1.54 / Max: 1.54Min: 1.39 / Avg: 1.4 / Max: 1.4Min: 1.26 / Avg: 1.27 / Max: 1.27Min: 1.26 / Avg: 1.26 / Max: 1.27Min: 0.94 / Avg: 0.94 / Max: 0.94Min: 0.7 / Avg: 0.7 / Max: 0.71. (CXX) g++ options: -O3 -flto -pthread

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1.19932.39863.59794.79725.9965SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.335.044.204.063.823.572.872.02MIN: 5.2 / MAX: 5.69MIN: 4.91 / MAX: 5.34MIN: 4.04 / MAX: 4.9MIN: 3.95 / MAX: 4.28MIN: 3.72 / MAX: 4.02MIN: 3.47 / MAX: 3.74MIN: 2.79 / MAX: 2.99MIN: 1.97 / MAX: 2.08
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D246810Min: 5.31 / Avg: 5.33 / Max: 5.37Min: 5.02 / Avg: 5.04 / Max: 5.05Min: 4.16 / Avg: 4.2 / Max: 4.27Min: 4.05 / Avg: 4.06 / Max: 4.06Min: 3.81 / Avg: 3.82 / Max: 3.82Min: 3.56 / Avg: 3.57 / Max: 3.58Min: 2.86 / Avg: 2.87 / Max: 2.87Min: 2.02 / Avg: 2.02 / Max: 2.02

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. The sample scene used is the Teapot scene ray-traced to 8K x 8K with 32 samples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total TimeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D306090120150SE +/- 0.35, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 3SE +/- 0.19, N = 353.0954.9059.1072.8778.6879.46108.03139.661. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total TimeCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D306090120150Min: 52.4 / Avg: 53.09 / Max: 53.52Min: 54.53 / Avg: 54.9 / Max: 55.29Min: 58.97 / Avg: 59.1 / Max: 59.17Min: 72.64 / Avg: 72.87 / Max: 73.03Min: 78.58 / Avg: 78.68 / Max: 78.75Min: 79.1 / Avg: 79.46 / Max: 79.64Min: 107.67 / Avg: 108.03 / Max: 108.22Min: 139.29 / Avg: 139.66 / Max: 139.891. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D120240360480600SE +/- 0.92, N = 12SE +/- 1.09, N = 12SE +/- 0.48, N = 12SE +/- 0.54, N = 11SE +/- 0.43, N = 11SE +/- 0.20, N = 10SE +/- 0.25, N = 10SE +/- 0.18, N = 9536.29455.49453.87392.81381.50271.68231.90204.811. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D90180270360450Min: 530.87 / Avg: 536.29 / Max: 542.63Min: 447.11 / Avg: 455.49 / Max: 458.99Min: 451.46 / Avg: 453.87 / Max: 456.85Min: 388.17 / Avg: 392.81 / Max: 395.3Min: 378.84 / Avg: 381.5 / Max: 383.5Min: 271.1 / Avg: 271.68 / Max: 273.18Min: 230.87 / Avg: 231.9 / Max: 232.9Min: 204.19 / Avg: 204.81 / Max: 205.651. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D30060090012001500SE +/- 3.42, N = 3SE +/- 8.24, N = 3SE +/- 1.32, N = 3SE +/- 7.46, N = 3SE +/- 1.96, N = 3SE +/- 3.35, N = 3SE +/- 2.44, N = 3SE +/- 0.75, N = 31174.691174.371099.05876.72827.56825.54581.03448.971. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D2004006008001000Min: 1169.34 / Avg: 1174.69 / Max: 1181.06Min: 1165.27 / Avg: 1174.37 / Max: 1190.83Min: 1097.63 / Avg: 1099.05 / Max: 1101.69Min: 862.08 / Avg: 876.72 / Max: 886.54Min: 823.93 / Avg: 827.56 / Max: 830.66Min: 821.35 / Avg: 825.54 / Max: 832.16Min: 577.5 / Avg: 581.03 / Max: 585.71Min: 447.56 / Avg: 448.97 / Max: 450.11. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D306090120150SE +/- 0.09, N = 7SE +/- 0.06, N = 7SE +/- 0.17, N = 6SE +/- 0.03, N = 6SE +/- 0.06, N = 6SE +/- 0.08, N = 6SE +/- 0.03, N = 5SE +/- 0.02, N = 4143.20129.14125.15108.3897.5896.2873.0754.751. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D306090120150Min: 143.02 / Avg: 143.2 / Max: 143.72Min: 128.91 / Avg: 129.14 / Max: 129.29Min: 124.82 / Avg: 125.15 / Max: 125.68Min: 108.31 / Avg: 108.38 / Max: 108.5Min: 97.3 / Avg: 97.58 / Max: 97.67Min: 95.9 / Avg: 96.28 / Max: 96.44Min: 72.95 / Avg: 73.07 / Max: 73.13Min: 54.69 / Avg: 54.75 / Max: 54.781. (CXX) g++ options: -O3 -flto -pthread

Pennant

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

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X1326395265SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 322.3022.7124.4026.5527.2032.8042.8558.311. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X1224364860Min: 22.21 / Avg: 22.3 / Max: 22.45Min: 22.56 / Avg: 22.71 / Max: 22.83Min: 24.39 / Avg: 24.4 / Max: 24.41Min: 26.42 / Avg: 26.55 / Max: 26.64Min: 26.9 / Avg: 27.2 / Max: 27.5Min: 32.78 / Avg: 32.8 / Max: 32.81Min: 42.8 / Avg: 42.85 / Max: 42.92Min: 58 / Avg: 58.31 / Max: 58.491. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Boat - Acceleration: CPU-onlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D1.13942.27883.41824.55765.697SE +/- 0.014, N = 10SE +/- 0.003, N = 9SE +/- 0.004, N = 9SE +/- 0.005, N = 9SE +/- 0.004, N = 9SE +/- 0.008, N = 8SE +/- 0.006, N = 7SE +/- 0.007, N = 71.9402.3682.4552.7302.9353.5154.3325.064
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Boat - Acceleration: CPU-onlyCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810Min: 1.87 / Avg: 1.94 / Max: 2.02Min: 2.35 / Avg: 2.37 / Max: 2.38Min: 2.43 / Avg: 2.45 / Max: 2.47Min: 2.71 / Avg: 2.73 / Max: 2.75Min: 2.91 / Avg: 2.93 / Max: 2.95Min: 3.49 / Avg: 3.51 / Max: 3.56Min: 4.32 / Avg: 4.33 / Max: 4.36Min: 5.03 / Avg: 5.06 / Max: 5.08

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 324.7622.6722.4818.8817.1516.2212.849.491. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D612182430Min: 24.71 / Avg: 24.76 / Max: 24.79Min: 22.63 / Avg: 22.67 / Max: 22.72Min: 22.34 / Avg: 22.48 / Max: 22.72Min: 18.84 / Avg: 18.88 / Max: 18.91Min: 17.1 / Avg: 17.15 / Max: 17.17Min: 16.19 / Avg: 16.22 / Max: 16.25Min: 12.83 / Avg: 12.84 / Max: 12.85Min: 9.48 / Avg: 9.49 / Max: 9.511. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D5010015020025079.2184.7985.51102.90110.68118.64149.49205.55

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 1080pCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D110220330440550SE +/- 0.99, N = 12SE +/- 0.61, N = 12SE +/- 0.92, N = 11SE +/- 0.42, N = 11SE +/- 0.30, N = 11SE +/- 0.28, N = 10SE +/- 0.13, N = 9SE +/- 0.31, N = 9521.50447.62443.30384.30373.61262.96227.83201.401. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D90180270360450Min: 517.15 / Avg: 521.5 / Max: 527.29Min: 444.42 / Avg: 447.62 / Max: 451.4Min: 435.45 / Avg: 443.3 / Max: 446.63Min: 382.14 / Avg: 384.3 / Max: 386.03Min: 372.06 / Avg: 373.61 / Max: 374.96Min: 261.88 / Avg: 262.96 / Max: 264.1Min: 227.45 / Avg: 227.83 / Max: 228.71Min: 199.82 / Avg: 201.4 / Max: 202.971. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 4 + Zstd Compression 19Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D60120180240300SE +/- 0.21, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.28, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3112.29119.18126.41156.54158.21169.07230.04290.75
OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 4 + Zstd Compression 19Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D50100150200250Min: 111.97 / Avg: 112.29 / Max: 112.68Min: 119.14 / Avg: 119.17 / Max: 119.25Min: 126.11 / Avg: 126.41 / Max: 126.8Min: 156.46 / Avg: 156.54 / Max: 156.62Min: 157.66 / Avg: 158.21 / Max: 158.55Min: 168.97 / Avg: 169.07 / Max: 169.12Min: 229.98 / Avg: 230.04 / Max: 230.11Min: 290.57 / Avg: 290.75 / Max: 290.99

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 1.84, N = 3SE +/- 11.97, N = 3SE +/- 2.02, N = 3SE +/- 0.46, N = 3SE +/- 1.26, N = 3SE +/- 22.76, N = 4SE +/- 1.70, N = 3SE +/- 33.27, N = 31131.141276.341483.531597.512070.712140.952703.162927.17MIN: 1124.17MIN: 1242.57MIN: 1474.48MIN: 1594.05MIN: 2060.86MIN: 1983.98-lpthread - MIN: 2684.5-lpthread - MIN: 2866.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X5001000150020002500Min: 1128.24 / Avg: 1131.14 / Max: 1134.55Min: 1254.95 / Avg: 1276.34 / Max: 1296.36Min: 1480.81 / Avg: 1483.53 / Max: 1487.47Min: 1596.59 / Avg: 1597.51 / Max: 1598.07Min: 2069.26 / Avg: 2070.71 / Max: 2073.21Min: 2098.83 / Avg: 2140.95 / Max: 2205.2Min: 2699.77 / Avg: 2703.16 / Max: 2705.09Min: 2886.12 / Avg: 2927.17 / Max: 2993.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D90180270360450SE +/- 0.31, N = 5SE +/- 0.19, N = 5SE +/- 0.25, N = 4SE +/- 0.22, N = 4SE +/- 0.56, N = 4SE +/- 0.11, N = 4SE +/- 0.29, N = 3SE +/- 0.08, N = 3406.61367.90339.53307.69281.08274.15208.78157.961. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D70140210280350Min: 405.75 / Avg: 406.61 / Max: 407.54Min: 367.56 / Avg: 367.9 / Max: 368.53Min: 339.16 / Avg: 339.53 / Max: 340.21Min: 307.04 / Avg: 307.69 / Max: 308.02Min: 279.75 / Avg: 281.08 / Max: 282.23Min: 273.93 / Avg: 274.15 / Max: 274.38Min: 208.33 / Avg: 208.78 / Max: 209.34Min: 157.86 / Avg: 157.96 / Max: 158.121. (CXX) g++ options: -O3 -flto -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 Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X6001200180024003000SE +/- 1.77, N = 3SE +/- 1.18, N = 3SE +/- 0.98, N = 3SE +/- 6.55, N = 3SE +/- 2.79, N = 3SE +/- 30.96, N = 3SE +/- 0.93, N = 3SE +/- 35.49, N = 41131.981269.381487.201589.032083.942180.932704.052904.78MIN: 1125.49MIN: 1257.16MIN: 1479.51MIN: 1575.69MIN: 2071.26MIN: 1985.43-lpthread - MIN: 2686.62-lpthread - MIN: 2827.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X5001000150020002500Min: 1129.24 / Avg: 1131.98 / Max: 1135.28Min: 1268.06 / Avg: 1269.38 / Max: 1271.74Min: 1485.98 / Avg: 1487.2 / Max: 1489.14Min: 1579.43 / Avg: 1589.03 / Max: 1601.54Min: 2078.95 / Avg: 2083.94 / Max: 2088.59Min: 2129.55 / Avg: 2180.93 / Max: 2236.56Min: 2702.24 / Avg: 2704.05 / Max: 2705.32Min: 2855.31 / Avg: 2904.78 / Max: 3008.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.317.896.956.436.055.704.633.24MIN: 7.42 / MAX: 8.8MIN: 7.06 / MAX: 8.33MIN: 6.28 / MAX: 7.94MIN: 5.86 / MAX: 6.67MIN: 5.54 / MAX: 6.22MIN: 5.28 / MAX: 5.87MIN: 4.49 / MAX: 4.71MIN: 3.19 / MAX: 3.27
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215Min: 8.3 / Avg: 8.31 / Max: 8.31Min: 7.89 / Avg: 7.89 / Max: 7.89Min: 6.91 / Avg: 6.95 / Max: 7Min: 6.39 / Avg: 6.43 / Max: 6.47Min: 6.03 / Avg: 6.05 / Max: 6.07Min: 5.69 / Avg: 5.7 / Max: 5.71Min: 4.62 / Avg: 4.63 / Max: 4.65Min: 3.23 / Avg: 3.24 / Max: 3.25

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: Visual Quality Optimized - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D306090120150SE +/- 0.99, N = 7SE +/- 0.72, N = 7SE +/- 0.75, N = 15SE +/- 0.64, N = 13SE +/- 0.71, N = 10SE +/- 0.68, N = 5SE +/- 0.62, N = 5SE +/- 0.38, N = 4117.33109.44109.0494.3290.6467.0155.5845.771. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D20406080100Min: 112 / Avg: 117.33 / Max: 120.1Min: 105.13 / Avg: 109.44 / Max: 110.39Min: 101.19 / Avg: 109.04 / Max: 110.38Min: 88.94 / Avg: 94.32 / Max: 95.75Min: 86.1 / Avg: 90.64 / Max: 92.41Min: 65.13 / Avg: 67.01 / Max: 68.3Min: 53.83 / Avg: 55.58 / Max: 56.66Min: 44.64 / Avg: 45.77 / Max: 46.341. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D140280420560700SE +/- 0.32, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.26, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3252.51255.35266.68314.33319.43418.07459.65646.22
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D110220330440550Min: 251.89 / Avg: 252.51 / Max: 252.96Min: 255.2 / Avg: 255.35 / Max: 255.61Min: 266.37 / Avg: 266.68 / Max: 266.99Min: 313.91 / Avg: 314.33 / Max: 314.81Min: 319.18 / Avg: 319.43 / Max: 319.56Min: 417.72 / Avg: 418.07 / Max: 418.31Min: 459.4 / Avg: 459.65 / Max: 459.92Min: 646.08 / Avg: 646.22 / Max: 646.36

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D110220330440550SE +/- 5.55, N = 3SE +/- 5.64, N = 15SE +/- 1.03, N = 3SE +/- 7.56, N = 15SE +/- 3.49, N = 15SE +/- 2.35, N = 3SE +/- 3.54, N = 15SE +/- 2.92, N = 15493.35493.33454.72441.62374.34329.48262.80193.041. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D90180270360450Min: 483.34 / Avg: 493.35 / Max: 502.5Min: 449.19 / Avg: 493.33 / Max: 511.12Min: 453.15 / Avg: 454.72 / Max: 456.67Min: 390.52 / Avg: 441.62 / Max: 474.55Min: 342.04 / Avg: 374.34 / Max: 385.89Min: 326.04 / Avg: 329.48 / Max: 333.97Min: 233.15 / Avg: 262.79 / Max: 276.88Min: 176.26 / Avg: 193.04 / Max: 203.491. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Core i9 13900KRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X1122334455SE +/- 0.28, N = 15SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.02, N = 3SE +/- 0.31, N = 319.4823.7024.4624.6325.3726.3032.7749.69MIN: 17.92 / MAX: 728.96MIN: 23.53 / MAX: 24.8MIN: 24.12 / MAX: 25.2MIN: 24.02 / MAX: 26.03MIN: 24.99 / MAX: 30.76MIN: 25.84 / MAX: 31.58MIN: 32.35 / MAX: 36.14MIN: 48.53 / MAX: 56.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Core i9 13900KRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X1020304050Min: 18.14 / Avg: 19.48 / Max: 21.8Min: 23.68 / Avg: 23.7 / Max: 23.74Min: 24.44 / Avg: 24.46 / Max: 24.5Min: 24.32 / Avg: 24.63 / Max: 24.93Min: 25.36 / Avg: 25.37 / Max: 25.38Min: 26.09 / Avg: 26.3 / Max: 26.69Min: 32.75 / Avg: 32.77 / Max: 32.8Min: 49.08 / Avg: 49.69 / Max: 50.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Masskrug - Acceleration: CPU-onlyCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D1.1252.253.3754.55.625SE +/- 0.007, N = 10SE +/- 0.007, N = 9SE +/- 0.008, N = 9SE +/- 0.008, N = 9SE +/- 0.008, N = 9SE +/- 0.009, N = 8SE +/- 0.004, N = 7SE +/- 0.005, N = 71.9672.6352.7132.9332.9593.5194.8595.000
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Masskrug - Acceleration: CPU-onlyCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810Min: 1.94 / Avg: 1.97 / Max: 2.01Min: 2.6 / Avg: 2.63 / Max: 2.67Min: 2.68 / Avg: 2.71 / Max: 2.75Min: 2.9 / Avg: 2.93 / Max: 2.97Min: 2.93 / Avg: 2.96 / Max: 3Min: 3.47 / Avg: 3.52 / Max: 3.55Min: 4.84 / Avg: 4.86 / Max: 4.87Min: 4.98 / Avg: 5 / Max: 5.01

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D246810SE +/- 0.002215, N = 3SE +/- 0.022510, N = 3SE +/- 0.037905, N = 3SE +/- 0.003979, N = 3SE +/- 0.057731, N = 5SE +/- 0.024910, N = 3SE +/- 0.008314, N = 3SE +/- 0.006907, N = 38.2720117.6878875.8546175.8048755.4244425.3203634.4435303.2623751. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D3691215Min: 8.27 / Avg: 8.27 / Max: 8.27Min: 7.64 / Avg: 7.69 / Max: 7.71Min: 5.78 / Avg: 5.85 / Max: 5.89Min: 5.8 / Avg: 5.8 / Max: 5.81Min: 5.19 / Avg: 5.42 / Max: 5.48Min: 5.27 / Avg: 5.32 / Max: 5.35Min: 4.43 / Avg: 4.44 / Max: 4.45Min: 3.25 / Avg: 3.26 / Max: 3.281. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Node.js Express HTTP Load Test

A Node.js Express server with a Node-based loadtest client for facilitating HTTP benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D4K8K12K16K20KSE +/- 182.55, N = 15SE +/- 22.96, N = 5SE +/- 62.53, N = 5SE +/- 33.49, N = 5SE +/- 46.68, N = 5SE +/- 49.13, N = 5SE +/- 31.67, N = 4SE +/- 8.30, N = 417636118391157711494107831062672796958
OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D3K6K9K12K15KMin: 16523 / Avg: 17635.8 / Max: 18374Min: 11790 / Avg: 11839.2 / Max: 11913Min: 11441 / Avg: 11577.4 / Max: 11804Min: 11403 / Avg: 11494 / Max: 11607Min: 10705 / Avg: 10783.4 / Max: 10954Min: 10479 / Avg: 10626.4 / Max: 10772Min: 7212 / Avg: 7278.75 / Max: 7364Min: 6935 / Avg: 6957.5 / Max: 6971

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D120240360480600SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 35625134884193843702642221. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D100200300400500Min: 561 / Avg: 562.33 / Max: 564Min: 512 / Avg: 513.33 / Max: 514Min: 487 / Avg: 487.67 / Max: 489Min: 419 / Avg: 419.33 / Max: 420Min: 383 / Avg: 384 / Max: 385Min: 369 / Avg: 369.67 / Max: 370Min: 263 / Avg: 263.67 / Max: 264Min: 222 / Avg: 222.33 / Max: 2231. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

IndigoBench

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

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215SE +/- 0.034, N = 3SE +/- 0.011, N = 3SE +/- 0.110, N = 6SE +/- 0.006, N = 3SE +/- 0.014, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 3SE +/- 0.010, N = 312.32111.85611.6029.3338.8998.6006.2304.905
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D48121620Min: 12.29 / Avg: 12.32 / Max: 12.39Min: 11.84 / Avg: 11.86 / Max: 11.88Min: 11.42 / Avg: 11.6 / Max: 12.14Min: 9.32 / Avg: 9.33 / Max: 9.35Min: 8.88 / Avg: 8.9 / Max: 8.92Min: 8.59 / Avg: 8.6 / Max: 8.61Min: 6.21 / Avg: 6.23 / Max: 6.24Min: 4.9 / Avg: 4.91 / Max: 4.92

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.18, N = 15SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 34.935.738.3610.3410.7711.3912.2212.38MIN: 4.82 / MAX: 5.65MIN: 5.66 / MAX: 8.34MIN: 7.42 / MAX: 11.26MIN: 10.17 / MAX: 13.16MIN: 10.48 / MAX: 11.47MIN: 11.2 / MAX: 12.36MIN: 11.96 / MAX: 13.32MIN: 12.1 / MAX: 12.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X48121620Min: 4.91 / Avg: 4.93 / Max: 4.95Min: 5.72 / Avg: 5.73 / Max: 5.73Min: 7.52 / Avg: 8.36 / Max: 9.18Min: 10.27 / Avg: 10.34 / Max: 10.39Min: 10.67 / Avg: 10.77 / Max: 10.87Min: 11.28 / Avg: 11.39 / Max: 11.6Min: 12.08 / Avg: 12.22 / Max: 12.32Min: 12.24 / Avg: 12.38 / Max: 12.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D246810SE +/- 0.044158, N = 3SE +/- 0.035847, N = 3SE +/- 0.026923, N = 3SE +/- 0.010662, N = 3SE +/- 0.001322, N = 3SE +/- 0.012948, N = 3SE +/- 0.002209, N = 3SE +/- 0.004391, N = 38.4190147.9817795.9833695.9606615.6420155.4239454.5808003.3593971. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D3691215Min: 8.33 / Avg: 8.42 / Max: 8.48Min: 7.93 / Avg: 7.98 / Max: 8.05Min: 5.94 / Avg: 5.98 / Max: 6.03Min: 5.94 / Avg: 5.96 / Max: 5.98Min: 5.64 / Avg: 5.64 / Max: 5.64Min: 5.41 / Avg: 5.42 / Max: 5.45Min: 4.58 / Avg: 4.58 / Max: 4.59Min: 3.35 / Avg: 3.36 / Max: 3.371. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 57Ryzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D300M600M900M1200M1500MSE +/- 7945718.62, N = 3SE +/- 3742102.80, N = 3SE +/- 1827870.65, N = 3SE +/- 2193171.22, N = 3SE +/- 7977955.74, N = 3SE +/- 3141832.44, N = 3SE +/- 387742.76, N = 3SE +/- 476806.51, N = 31573433333147990000012866333331209900000109633333310213666678356033336279266671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 57Ryzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D300M600M900M1200M1500MMin: 1558300000 / Avg: 1573433333.33 / Max: 1585200000Min: 1472800000 / Avg: 1479900000 / Max: 1485500000Min: 1283300000 / Avg: 1286633333.33 / Max: 1289600000Min: 1207000000 / Avg: 1209900000 / Max: 1214200000Min: 1080600000 / Avg: 1096333333.33 / Max: 1106500000Min: 1015100000 / Avg: 1021366666.67 / Max: 1024900000Min: 834830000 / Avg: 835603333.33 / Max: 836040000Min: 627430000 / Avg: 627926666.67 / Max: 6288800001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D40K80K120K160K200KSE +/- 282.00, N = 3SE +/- 814.41, N = 3SE +/- 985.52, N = 3SE +/- 237.45, N = 3SE +/- 101.53, N = 3SE +/- 255.40, N = 3SE +/- 168.01, N = 3SE +/- 172.79, N = 318463517642514515714003613749713187692177738971. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D30K60K90K120K150KMin: 184073 / Avg: 184635.33 / Max: 184954Min: 174942 / Avg: 176424.67 / Max: 177750Min: 144028 / Avg: 145157.33 / Max: 147121Min: 139645 / Avg: 140036.33 / Max: 140465Min: 137294 / Avg: 137496.67 / Max: 137609Min: 131479 / Avg: 131876.33 / Max: 132353Min: 91887 / Avg: 92177 / Max: 92469Min: 73651 / Avg: 73896.67 / Max: 742301. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU StressRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D13K26K39K52K65KSE +/- 708.50, N = 3SE +/- 186.27, N = 3SE +/- 740.51, N = 3SE +/- 675.22, N = 3SE +/- 448.98, N = 3SE +/- 123.16, N = 3SE +/- 36.51, N = 3SE +/- 268.87, N = 361043.3957970.6251978.2947950.6845371.2643335.7829975.2124536.081. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU StressRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D11K22K33K44K55KMin: 59628.29 / Avg: 61043.39 / Max: 61814.39Min: 57688.36 / Avg: 57970.62 / Max: 58322.31Min: 50627.85 / Avg: 51978.29 / Max: 53180.12Min: 47201.63 / Avg: 47950.68 / Max: 49298.33Min: 44771.57 / Avg: 45371.26 / Max: 46249.92Min: 43184.73 / Avg: 43335.78 / Max: 43579.81Min: 29935.43 / Avg: 29975.21 / Max: 30048.12Min: 24010.41 / Avg: 24536.08 / Max: 24896.991. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 11.84, N = 3SE +/- 15.17, N = 3SE +/- 10.15, N = 3SE +/- 22.88, N = 3SE +/- 21.22, N = 3SE +/- 17.34, N = 3SE +/- 6.12, N = 3SE +/- 6.80, N = 918041794178217641738155310927261. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X30060090012001500Min: 1780 / Avg: 1803.67 / Max: 1816Min: 1774 / Avg: 1794.33 / Max: 1824Min: 1769 / Avg: 1782 / Max: 1802Min: 1723 / Avg: 1764.33 / Max: 1802Min: 1699 / Avg: 1738 / Max: 1772Min: 1535 / Avg: 1553.33 / Max: 1588Min: 1081 / Avg: 1092.33 / Max: 1102Min: 688 / Avg: 725.56 / Max: 7531. (CXX) g++ options: -flto -pthread

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 348.4449.4050.9259.4261.6075.1183.42120.10
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20406080100Min: 48.41 / Avg: 48.44 / Max: 48.49Min: 49.37 / Avg: 49.4 / Max: 49.42Min: 50.74 / Avg: 50.92 / Max: 51.14Min: 59.36 / Avg: 59.42 / Max: 59.48Min: 61.46 / Avg: 61.6 / Max: 61.68Min: 75.08 / Avg: 75.11 / Max: 75.16Min: 83.4 / Avg: 83.42 / Max: 83.44Min: 119.96 / Avg: 120.1 / Max: 120.28

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: BLASRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X400800120016002000SE +/- 26.59, N = 3SE +/- 7.54, N = 3SE +/- 18.32, N = 3SE +/- 19.30, N = 3SE +/- 15.50, N = 3SE +/- 17.36, N = 3SE +/- 12.81, N = 3SE +/- 5.61, N = 319611896188718551652127510477911. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X30060090012001500Min: 1914 / Avg: 1961.33 / Max: 2006Min: 1881 / Avg: 1895.67 / Max: 1906Min: 1858 / Avg: 1887.33 / Max: 1921Min: 1827 / Avg: 1855 / Max: 1892Min: 1628 / Avg: 1652 / Max: 1681Min: 1253 / Avg: 1274.67 / Max: 1309Min: 1029 / Avg: 1047.33 / Max: 1072Min: 783 / Avg: 791.33 / Max: 8021. (CXX) g++ options: -flto -pthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D510152025SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 322.9520.6918.7516.8015.3614.9512.739.261. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D510152025Min: 22.88 / Avg: 22.95 / Max: 23Min: 20.65 / Avg: 20.69 / Max: 20.72Min: 18.58 / Avg: 18.75 / Max: 19.06Min: 16.77 / Avg: 16.8 / Max: 16.84Min: 15.33 / Avg: 15.36 / Max: 15.39Min: 14.94 / Avg: 14.95 / Max: 14.97Min: 12.72 / Avg: 12.73 / Max: 12.74Min: 9.22 / Avg: 9.26 / Max: 9.311. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian DragonRyzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D918273645SE +/- 0.03, N = 4SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 339.7337.2537.1831.3630.9924.4521.7116.03MIN: 39.38 / MAX: 41.15MIN: 35.14 / MAX: 39.61MIN: 36.82 / MAX: 38.24MIN: 31.19 / MAX: 31.8MIN: 30.81 / MAX: 31.42MIN: 24.27 / MAX: 24.99MIN: 21.57 / MAX: 22.09MIN: 15.95 / MAX: 16.27
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian DragonRyzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D816243240Min: 39.64 / Avg: 39.73 / Max: 39.79Min: 37.2 / Avg: 37.25 / Max: 37.29Min: 37.15 / Avg: 37.18 / Max: 37.2Min: 31.35 / Avg: 31.36 / Max: 31.38Min: 30.97 / Avg: 30.99 / Max: 31.02Min: 24.38 / Avg: 24.45 / Max: 24.54Min: 21.7 / Avg: 21.71 / Max: 21.71Min: 16.02 / Avg: 16.03 / Max: 16.05

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 - GriddingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 7900XCore i9 13900KRyzen 7 7700XRyzen 9 5950X15003000450060007500SE +/- 36.30, N = 7SE +/- 23.45, N = 6SE +/- 61.06, N = 15SE +/- 57.98, N = 15SE +/- 34.90, N = 12SE +/- 32.31, N = 15SE +/- 29.42, N = 6SE +/- 12.44, N = 66904.086168.556078.556022.715018.554933.623436.842793.171. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 7900XCore i9 13900KRyzen 7 7700XRyzen 9 5950X12002400360048006000Min: 6827.08 / Avg: 6904.08 / Max: 7006.74Min: 6051.27 / Avg: 6168.55 / Max: 6192Min: 5547 / Avg: 6078.55 / Max: 6494.05Min: 5665.02 / Avg: 6022.71 / Max: 6339.43Min: 4754.57 / Avg: 5018.55 / Max: 5120.31Min: 4754.57 / Avg: 4933.62 / Max: 5120.31Min: 3328.2 / Avg: 3436.84 / Max: 3503.37Min: 2773.5 / Avg: 2793.17 / Max: 2832.511. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 323.4321.1019.1617.1615.6715.3212.989.481. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D510152025Min: 23.4 / Avg: 23.43 / Max: 23.48Min: 21.09 / Avg: 21.1 / Max: 21.11Min: 19.07 / Avg: 19.16 / Max: 19.33Min: 17.15 / Avg: 17.16 / Max: 17.18Min: 15.64 / Avg: 15.67 / Max: 15.69Min: 15.31 / Avg: 15.32 / Max: 15.33Min: 12.97 / Avg: 12.98 / Max: 12.99Min: 9.47 / Avg: 9.48 / Max: 9.491. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPURyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D20K40K60K80K100KSE +/- 73.61, N = 3SE +/- 11.93, N = 3SE +/- 102.02, N = 3SE +/- 76.70, N = 3SE +/- 39.54, N = 3SE +/- 22.90, N = 3SE +/- 16.92, N = 3SE +/- 31.30, N = 3110272.31108215.79106975.3190608.9782908.3279331.6656216.7944673.831. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPURyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D20K40K60K80K100KMin: 110169.97 / Avg: 110272.31 / Max: 110415.14Min: 108193.1 / Avg: 108215.79 / Max: 108233.51Min: 106818.19 / Avg: 106975.31 / Max: 107166.6Min: 90526.22 / Avg: 90608.97 / Max: 90762.21Min: 82865.04 / Avg: 82908.32 / Max: 82987.29Min: 79299.89 / Avg: 79331.66 / Max: 79376.11Min: 56188.9 / Avg: 56216.79 / Max: 56247.33Min: 44626.45 / Avg: 44673.83 / Max: 44732.941. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 7 5800X3DRyzen 7 7700XRyzen 9 5950X2004006008001000SE +/- 6.46, N = 3SE +/- 3.56, N = 3SE +/- 3.32, N = 3SE +/- 7.93, N = 3SE +/- 2.70, N = 3SE +/- 2.83, N = 3SE +/- 1.42, N = 3SE +/- 1.63, N = 31064.21025.4864.9843.6759.5576.1554.2431.5-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 7 5800X3DRyzen 7 7700XRyzen 9 5950X2004006008001000Min: 1054.8 / Avg: 1064.23 / Max: 1076.6Min: 1018.8 / Avg: 1025.4 / Max: 1031Min: 859.7 / Avg: 864.93 / Max: 871.1Min: 827.8 / Avg: 843.6 / Max: 852.7Min: 754.4 / Avg: 759.5 / Max: 763.6Min: 571.2 / Avg: 576.07 / Max: 581Min: 552.1 / Avg: 554.2 / Max: 556.9Min: 428.5 / Avg: 431.47 / Max: 434.11. (CC) gcc options: -O3 -pthread -lz -llzma

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D11002200330044005500SE +/- 16.25, N = 3SE +/- 42.31, N = 6SE +/- 6.98, N = 3SE +/- 1.40, N = 3SE +/- 3.76, N = 3SE +/- 7.09, N = 3SE +/- 10.83, N = 3SE +/- 1.10, N = 35233.724425.464151.493738.243356.353155.052317.842127.931. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D9001800270036004500Min: 5206.99 / Avg: 5233.72 / Max: 5263.11Min: 4377.02 / Avg: 4425.46 / Max: 4636.72Min: 4137.73 / Avg: 4151.49 / Max: 4160.35Min: 3736.22 / Avg: 3738.24 / Max: 3740.92Min: 3349.74 / Avg: 3356.35 / Max: 3362.77Min: 3145.42 / Avg: 3155.05 / Max: 3168.88Min: 2306.85 / Avg: 2317.84 / Max: 2339.5Min: 2126.69 / Avg: 2127.93 / Max: 2130.121. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20406080100SE +/- 0.28, N = 3SE +/- 0.32, N = 3SE +/- 0.20, N = 3SE +/- 0.30, N = 3SE +/- 0.41, N = 3SE +/- 0.29, N = 3SE +/- 0.26, N = 3SE +/- 0.41, N = 345.1146.9347.3555.1057.6370.0576.90110.87
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20406080100Min: 44.83 / Avg: 45.11 / Max: 45.67Min: 46.5 / Avg: 46.93 / Max: 47.55Min: 46.96 / Avg: 47.35 / Max: 47.65Min: 54.78 / Avg: 55.1 / Max: 55.71Min: 57 / Avg: 57.63 / Max: 58.42Min: 69.76 / Avg: 70.05 / Max: 70.63Min: 76.63 / Avg: 76.9 / Max: 77.42Min: 110.44 / Avg: 110.87 / Max: 111.69

Timed MPlayer Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To CompileRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D816243240SE +/- 0.02, N = 4SE +/- 0.06, N = 4SE +/- 0.16, N = 6SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 314.8615.4016.0118.4219.3022.6226.4336.44
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To CompileRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D816243240Min: 14.82 / Avg: 14.86 / Max: 14.91Min: 15.26 / Avg: 15.4 / Max: 15.55Min: 15.33 / Avg: 16.01 / Max: 16.48Min: 18.39 / Avg: 18.42 / Max: 18.43Min: 19.19 / Avg: 19.3 / Max: 19.42Min: 22.56 / Avg: 22.62 / Max: 22.66Min: 26.41 / Avg: 26.43 / Max: 26.47Min: 36.41 / Avg: 36.44 / Max: 36.49

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Vector MathRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D30K60K90K120K150KSE +/- 19.90, N = 3SE +/- 39.72, N = 3SE +/- 85.41, N = 3SE +/- 143.21, N = 3SE +/- 9.32, N = 3SE +/- 57.68, N = 3SE +/- 15.56, N = 3SE +/- 5.92, N = 3145114.57137986.85119388.16111113.84109325.97102889.9173841.1759200.311. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Vector MathRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D30K60K90K120K150KMin: 145078.03 / Avg: 145114.57 / Max: 145146.52Min: 137907.8 / Avg: 137986.85 / Max: 138033.14Min: 119288.29 / Avg: 119388.16 / Max: 119558.11Min: 110947.15 / Avg: 111113.84 / Max: 111398.9Min: 109314.58 / Avg: 109325.97 / Max: 109344.44Min: 102774.81 / Avg: 102889.91 / Max: 102954.11Min: 73810.07 / Avg: 73841.17 / Max: 73857.76Min: 59192.56 / Avg: 59200.31 / Max: 59211.931. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D1.34072.68144.02215.36286.7035SE +/- 0.032748, N = 3SE +/- 0.059317, N = 3SE +/- 0.009453, N = 3SE +/- 0.015068, N = 3SE +/- 0.001006, N = 3SE +/- 0.009937, N = 3SE +/- 0.005376, N = 3SE +/- 0.002628, N = 35.9586055.5777374.2996214.2471584.0260293.9278323.2789402.4369011. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D246810Min: 5.89 / Avg: 5.96 / Max: 6Min: 5.47 / Avg: 5.58 / Max: 5.67Min: 4.29 / Avg: 4.3 / Max: 4.32Min: 4.22 / Avg: 4.25 / Max: 4.28Min: 4.02 / Avg: 4.03 / Max: 4.03Min: 3.91 / Avg: 3.93 / Max: 3.94Min: 3.27 / Avg: 3.28 / Max: 3.29Min: 2.43 / Avg: 2.44 / Max: 2.441. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X1.1162.2323.3484.4645.58SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 15SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 32.032.313.174.294.404.444.784.96MIN: 1.85 / MAX: 2.59MIN: 2.27 / MAX: 2.57MIN: 2.82 / MAX: 8.94MIN: 4.2 / MAX: 4.6MIN: 4.29 / MAX: 4.75MIN: 4.35 / MAX: 4.97MIN: 4.66 / MAX: 5.22MIN: 4.79 / MAX: 5.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X246810Min: 1.89 / Avg: 2.03 / Max: 2.21Min: 2.29 / Avg: 2.31 / Max: 2.36Min: 2.86 / Avg: 3.17 / Max: 3.85Min: 4.24 / Avg: 4.29 / Max: 4.37Min: 4.41 / Avg: 4.44 / Max: 4.47Min: 4.74 / Avg: 4.78 / Max: 4.84Min: 4.94 / Avg: 4.96 / Max: 51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3D3691215SE +/- 0.063022, N = 3SE +/- 0.029350, N = 3SE +/- 0.085076, N = 3SE +/- 0.038122, N = 3SE +/- 0.033463, N = 3SE +/- 0.077595, N = 7SE +/- 0.053531, N = 3SE +/- 0.011217, N = 311.42866111.1594809.6768628.4175298.3187248.2869275.6698874.6933061. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3D3691215Min: 11.32 / Avg: 11.43 / Max: 11.54Min: 11.1 / Avg: 11.16 / Max: 11.19Min: 9.52 / Avg: 9.68 / Max: 9.82Min: 8.34 / Avg: 8.42 / Max: 8.47Min: 8.28 / Avg: 8.32 / Max: 8.39Min: 8.08 / Avg: 8.29 / Max: 8.63Min: 5.59 / Avg: 5.67 / Max: 5.77Min: 4.67 / Avg: 4.69 / Max: 4.711. (CC) gcc options: -O3 -march=native -fopenmp

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D4K8K12K16K20KSE +/- 70.98, N = 3SE +/- 7.72, N = 3SE +/- 11.32, N = 3SE +/- 141.76, N = 3SE +/- 10.81, N = 3SE +/- 41.66, N = 3SE +/- 14.66, N = 3SE +/- 13.02, N = 320460.219571.515917.815096.714978.313665.510873.88405.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D4K8K12K16K20KMin: 20363.7 / Avg: 20460.17 / Max: 20598.6Min: 19556.1 / Avg: 19571.53 / Max: 19579.8Min: 15904.6 / Avg: 15917.77 / Max: 15940.3Min: 14813.9 / Avg: 15096.7 / Max: 15255.5Min: 14966.7 / Avg: 14978.3 / Max: 14999.9Min: 13606.9 / Avg: 13665.5 / Max: 13746.1Min: 10844.9 / Avg: 10873.83 / Max: 10892.4Min: 8391 / Avg: 8405.73 / Max: 8431.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D70140210280350SE +/- 0.37, N = 3SE +/- 0.36, N = 3SE +/- 0.11, N = 3SE +/- 0.40, N = 3SE +/- 0.29, N = 3SE +/- 0.75, N = 3SE +/- 0.58, N = 3SE +/- 0.29, N = 3126.80138.40143.26150.81190.85191.17302.76308.461. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D60120180240300Min: 126.13 / Avg: 126.8 / Max: 127.41Min: 137.72 / Avg: 138.4 / Max: 138.93Min: 143.07 / Avg: 143.26 / Max: 143.44Min: 150.28 / Avg: 150.81 / Max: 151.59Min: 190.42 / Avg: 190.85 / Max: 191.39Min: 190.21 / Avg: 191.17 / Max: 192.64Min: 302.11 / Avg: 302.76 / Max: 303.91Min: 307.91 / Avg: 308.46 / Max: 308.871. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D100K200K300K400K500KSE +/- 2404.69, N = 3SE +/- 396.86, N = 3SE +/- 226.59, N = 3SE +/- 212.63, N = 3SE +/- 2076.65, N = 3SE +/- 3220.09, N = 6SE +/- 2714.05, N = 3SE +/- 526.79, N = 34580134428004252833489473406773171872341331885071. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D80K160K240K320K400KMin: 453250 / Avg: 458013.33 / Max: 460970Min: 442200 / Avg: 442800 / Max: 443550Min: 424960 / Avg: 425283.33 / Max: 425720Min: 348610 / Avg: 348946.67 / Max: 349340Min: 336660 / Avg: 340676.67 / Max: 343600Min: 307880 / Avg: 317186.67 / Max: 327150Min: 231120 / Avg: 234133.33 / Max: 239550Min: 187960 / Avg: 188506.67 / Max: 1895601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D246810SE +/- 0.035983, N = 3SE +/- 0.028177, N = 3SE +/- 0.012084, N = 3SE +/- 0.043432, N = 3SE +/- 0.008940, N = 3SE +/- 0.000414, N = 3SE +/- 0.005091, N = 3SE +/- 0.003072, N = 37.6773187.2290225.5465975.5166645.1274315.0774124.2670013.1621331. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D3691215Min: 7.61 / Avg: 7.68 / Max: 7.72Min: 7.18 / Avg: 7.23 / Max: 7.27Min: 5.52 / Avg: 5.55 / Max: 5.56Min: 5.43 / Avg: 5.52 / Max: 5.58Min: 5.11 / Avg: 5.13 / Max: 5.14Min: 5.08 / Avg: 5.08 / Max: 5.08Min: 4.26 / Avg: 4.27 / Max: 4.28Min: 3.16 / Avg: 3.16 / Max: 3.171. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D4080120160200SE +/- 0.49, N = 9SE +/- 0.16, N = 8SE +/- 0.26, N = 8SE +/- 0.09, N = 8SE +/- 0.17, N = 8SE +/- 0.09, N = 7SE +/- 0.17, N = 6SE +/- 0.18, N = 6203.22174.36171.02147.99144.59115.5593.7983.851. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D4080120160200Min: 200.67 / Avg: 203.22 / Max: 204.64Min: 173.56 / Avg: 174.36 / Max: 175.18Min: 170.16 / Avg: 171.02 / Max: 172.07Min: 147.78 / Avg: 147.99 / Max: 148.55Min: 143.88 / Avg: 144.59 / Max: 145.38Min: 115.1 / Avg: 115.55 / Max: 115.79Min: 93.28 / Avg: 93.79 / Max: 94.41Min: 83.34 / Avg: 83.85 / Max: 84.281. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D246810SE +/- 0.074524, N = 7SE +/- 0.032785, N = 3SE +/- 0.043283, N = 3SE +/- 0.028482, N = 3SE +/- 0.002539, N = 3SE +/- 0.001419, N = 3SE +/- 0.012514, N = 3SE +/- 0.002227, N = 37.8969077.3726115.7265695.6451715.2509785.2350144.3942503.2604851. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D3691215Min: 7.54 / Avg: 7.9 / Max: 8.11Min: 7.33 / Avg: 7.37 / Max: 7.44Min: 5.66 / Avg: 5.73 / Max: 5.81Min: 5.6 / Avg: 5.65 / Max: 5.69Min: 5.25 / Avg: 5.25 / Max: 5.26Min: 5.23 / Avg: 5.24 / Max: 5.24Min: 4.37 / Avg: 4.39 / Max: 4.41Min: 3.26 / Avg: 3.26 / Max: 3.261. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D70140210280350SE +/- 0.45, N = 11SE +/- 0.34, N = 11SE +/- 0.20, N = 10SE +/- 0.43, N = 10SE +/- 0.22, N = 10SE +/- 0.24, N = 9SE +/- 0.15, N = 9SE +/- 0.12, N = 8342.53330.42308.28255.80234.26222.44186.77141.851. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D60120180240300Min: 340.14 / Avg: 342.53 / Max: 345.03Min: 328.41 / Avg: 330.42 / Max: 331.67Min: 307.38 / Avg: 308.28 / Max: 309.76Min: 252.63 / Avg: 255.8 / Max: 257.29Min: 233.19 / Avg: 234.26 / Max: 235.57Min: 221.57 / Avg: 222.44 / Max: 223.55Min: 185.93 / Avg: 186.77 / Max: 187.27Min: 141.48 / Avg: 141.85 / Max: 142.551. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D48121620SE +/- 0.043, N = 12SE +/- 0.116, N = 15SE +/- 0.091, N = 11SE +/- 0.076, N = 11SE +/- 0.069, N = 11SE +/- 0.043, N = 11SE +/- 0.016, N = 10SE +/- 0.015, N = 917.57616.95516.27013.10212.76812.3989.2417.3101. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D48121620Min: 17.23 / Avg: 17.58 / Max: 17.78Min: 15.83 / Avg: 16.96 / Max: 17.31Min: 15.79 / Avg: 16.27 / Max: 16.57Min: 12.59 / Avg: 13.1 / Max: 13.46Min: 12.35 / Avg: 12.77 / Max: 13Min: 12.13 / Avg: 12.4 / Max: 12.71Min: 9.1 / Avg: 9.24 / Max: 9.27Min: 7.2 / Avg: 7.31 / Max: 7.351. (CXX) g++ options: -O3 -lm -ldl

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 0.11Encoder Speed: 6Ryzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D246810SE +/- 0.005, N = 9SE +/- 0.012, N = 9SE +/- 0.049, N = 15SE +/- 0.010, N = 9SE +/- 0.014, N = 8SE +/- 0.010, N = 8SE +/- 0.003, N = 7SE +/- 0.016, N = 63.0143.2593.3133.6834.0104.5855.0097.2321. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6Ryzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215Min: 2.99 / Avg: 3.01 / Max: 3.04Min: 3.2 / Avg: 3.26 / Max: 3.3Min: 3.2 / Avg: 3.31 / Max: 3.86Min: 3.63 / Avg: 3.68 / Max: 3.73Min: 3.95 / Avg: 4.01 / Max: 4.07Min: 4.55 / Avg: 4.58 / Max: 4.62Min: 5 / Avg: 5.01 / Max: 5.03Min: 7.2 / Avg: 7.23 / Max: 7.291. (CXX) g++ options: -O3 -fPIC -lm

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetRyzen 7 5800X3DRyzen 7 7700XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 15SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 35.055.896.617.878.218.298.6612.10MIN: 4.96 / MAX: 8.3MIN: 5.66 / MAX: 6.59MIN: 6.02 / MAX: 11.08MIN: 7.74 / MAX: 8.53MIN: 8.05 / MAX: 14.08MIN: 8.16 / MAX: 14.32MIN: 8.46 / MAX: 14.3MIN: 11.75 / MAX: 18.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetRyzen 7 5800X3DRyzen 7 7700XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X48121620Min: 5.04 / Avg: 5.05 / Max: 5.07Min: 5.72 / Avg: 5.89 / Max: 6.13Min: 6.08 / Avg: 6.61 / Max: 7.02Min: 7.84 / Avg: 7.87 / Max: 7.9Min: 8.17 / Avg: 8.21 / Max: 8.24Min: 8.25 / Avg: 8.29 / Max: 8.32Min: 8.64 / Avg: 8.66 / Max: 8.68Min: 12.04 / Avg: 12.1 / Max: 12.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

N-Queens

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

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D48121620SE +/- 0.003, N = 7SE +/- 0.004, N = 7SE +/- 0.052, N = 7SE +/- 0.001, N = 6SE +/- 0.004, N = 6SE +/- 0.003, N = 6SE +/- 0.006, N = 5SE +/- 0.002, N = 45.7065.9856.1367.0597.5958.04211.28813.6641. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D48121620Min: 5.7 / Avg: 5.71 / Max: 5.72Min: 5.97 / Avg: 5.98 / Max: 6Min: 6.04 / Avg: 6.14 / Max: 6.4Min: 7.06 / Avg: 7.06 / Max: 7.06Min: 7.58 / Avg: 7.6 / Max: 7.61Min: 8.04 / Avg: 8.04 / Max: 8.05Min: 11.27 / Avg: 11.29 / Max: 11.3Min: 13.66 / Avg: 13.66 / Max: 13.671. (CC) gcc options: -static -fopenmp -O3 -march=native

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 4.4Acceleration: CPU - Scene: BedroomRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D1.26232.52463.78695.04926.3115SE +/- 0.013, N = 3SE +/- 0.012, N = 3SE +/- 0.013, N = 3SE +/- 0.010, N = 3SE +/- 0.010, N = 3SE +/- 0.047, N = 4SE +/- 0.005, N = 3SE +/- 0.008, N = 35.6105.4154.2344.0844.0774.0072.8652.348
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D246810Min: 5.59 / Avg: 5.61 / Max: 5.63Min: 5.39 / Avg: 5.42 / Max: 5.43Min: 4.22 / Avg: 4.23 / Max: 4.26Min: 4.07 / Avg: 4.08 / Max: 4.1Min: 4.06 / Avg: 4.08 / Max: 4.09Min: 3.87 / Avg: 4.01 / Max: 4.07Min: 2.86 / Avg: 2.87 / Max: 2.88Min: 2.33 / Avg: 2.35 / Max: 2.36

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X70140210280350SE +/- 1.54, N = 3SE +/- 2.51, N = 8SE +/- 1.17, N = 3SE +/- 0.98, N = 3SE +/- 1.83, N = 3SE +/- 0.09, N = 3SE +/- 0.35, N = 3SE +/- 0.12, N = 3305.7300.1255.9252.1251.4194.3155.3128.2-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X50100150200250Min: 303.6 / Avg: 305.7 / Max: 308.7Min: 292.5 / Avg: 300.14 / Max: 314Min: 253.7 / Avg: 255.9 / Max: 257.7Min: 250.4 / Avg: 252.1 / Max: 253.8Min: 247.8 / Avg: 251.4 / Max: 253.8Min: 194.2 / Avg: 194.33 / Max: 194.5Min: 154.7 / Avg: 155.27 / Max: 155.9Min: 128 / Avg: 128.23 / Max: 128.41. (CC) gcc options: -O3 -pthread -lz -llzma

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810SE +/- 0.011, N = 9SE +/- 0.054, N = 15SE +/- 0.015, N = 9SE +/- 0.022, N = 8SE +/- 0.024, N = 8SE +/- 0.008, N = 7SE +/- 0.018, N = 7SE +/- 0.012, N = 63.2173.2643.3943.8204.1665.0085.1117.670
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D3691215Min: 3.14 / Avg: 3.22 / Max: 3.26Min: 3.12 / Avg: 3.26 / Max: 3.75Min: 3.32 / Avg: 3.39 / Max: 3.46Min: 3.75 / Avg: 3.82 / Max: 3.94Min: 4.1 / Avg: 4.17 / Max: 4.3Min: 4.98 / Avg: 5.01 / Max: 5.05Min: 5.04 / Avg: 5.11 / Max: 5.19Min: 7.63 / Avg: 7.67 / Max: 7.7

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D150300450600750SE +/- 0.63, N = 12SE +/- 0.63, N = 12SE +/- 0.89, N = 12SE +/- 0.51, N = 12SE +/- 0.47, N = 12SE +/- 0.31, N = 11SE +/- 0.47, N = 11SE +/- 0.71, N = 10677.40598.16590.32497.76471.58384.37365.74284.581. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D120240360480600Min: 674.16 / Avg: 677.4 / Max: 681.82Min: 594.06 / Avg: 598.16 / Max: 601.2Min: 583.66 / Avg: 590.32 / Max: 595.24Min: 495.05 / Avg: 497.76 / Max: 500.83Min: 468.75 / Avg: 471.58 / Max: 473.93Min: 382.65 / Avg: 384.37 / Max: 386.1Min: 362.98 / Avg: 365.74 / Max: 368.1Min: 280.9 / Avg: 284.58 / Max: 287.361. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To CompileRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1122334455SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 321.1921.9421.9525.7827.2032.3436.1050.22
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To CompileRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1020304050Min: 21.14 / Avg: 21.19 / Max: 21.29Min: 21.88 / Avg: 21.94 / Max: 22.04Min: 21.86 / Avg: 21.95 / Max: 22Min: 25.68 / Avg: 25.78 / Max: 25.92Min: 26.97 / Avg: 27.2 / Max: 27.33Min: 32.26 / Avg: 32.34 / Max: 32.45Min: 35.99 / Avg: 36.1 / Max: 36.22Min: 50.11 / Avg: 50.22 / Max: 50.42

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D1.24532.49063.73594.98126.2265SE +/- 0.038218, N = 3SE +/- 0.005171, N = 3SE +/- 0.004755, N = 3SE +/- 0.020237, N = 3SE +/- 0.015700, N = 3SE +/- 0.002006, N = 3SE +/- 0.002164, N = 3SE +/- 0.002181, N = 35.5347355.1923844.0257784.0127993.7310173.6973383.1467502.3420921. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D246810Min: 5.47 / Avg: 5.53 / Max: 5.6Min: 5.19 / Avg: 5.19 / Max: 5.2Min: 4.02 / Avg: 4.03 / Max: 4.03Min: 3.97 / Avg: 4.01 / Max: 4.04Min: 3.7 / Avg: 3.73 / Max: 3.76Min: 3.69 / Avg: 3.7 / Max: 3.7Min: 3.14 / Avg: 3.15 / Max: 3.15Min: 2.34 / Avg: 2.34 / Max: 2.351. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D140280420560700SE +/- 2.61, N = 3SE +/- 0.94, N = 3SE +/- 3.42, N = 3SE +/- 1.30, N = 3SE +/- 3.05, N = 3SE +/- 4.98, N = 3SE +/- 3.49, N = 3SE +/- 2.88, N = 3282.10286.91295.10336.09341.61448.53476.30666.08
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D120240360480600Min: 276.9 / Avg: 282.1 / Max: 285.08Min: 285.04 / Avg: 286.91 / Max: 288.07Min: 288.27 / Avg: 295.1 / Max: 298.82Min: 333.77 / Avg: 336.09 / Max: 338.25Min: 335.63 / Avg: 341.61 / Max: 345.69Min: 439.13 / Avg: 448.53 / Max: 456.09Min: 470.75 / Avg: 476.3 / Max: 482.75Min: 662.83 / Avg: 666.08 / Max: 671.82

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20406080100SE +/- 0.77, N = 15SE +/- 0.72, N = 15SE +/- 0.67, N = 15SE +/- 0.45, N = 15SE +/- 0.38, N = 13SE +/- 0.40, N = 15SE +/- 0.46, N = 5SE +/- 0.34, N = 576.5471.3866.9861.4556.5552.3042.9832.441. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1530456075Min: 67.55 / Avg: 76.54 / Max: 78.03Min: 62.66 / Avg: 71.38 / Max: 72.59Min: 61.16 / Avg: 66.98 / Max: 68.55Min: 56.33 / Avg: 61.45 / Max: 62.35Min: 52.73 / Avg: 56.55 / Max: 57.2Min: 47.57 / Avg: 52.3 / Max: 53.16Min: 41.57 / Avg: 42.98 / Max: 43.75Min: 31.12 / Avg: 32.44 / Max: 32.881. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Core i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.02513, N = 3SE +/- 0.00747, N = 3SE +/- 0.00157, N = 3SE +/- 0.00260, N = 3SE +/- 0.00551, N = 3SE +/- 0.00490, N = 3SE +/- 0.00412, N = 3SE +/- 0.00040, N = 39.936098.478338.404188.338878.268337.536894.571454.252501. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Core i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X3691215Min: 9.9 / Avg: 9.94 / Max: 9.99Min: 8.47 / Avg: 8.48 / Max: 8.49Min: 8.4 / Avg: 8.4 / Max: 8.41Min: 8.33 / Avg: 8.34 / Max: 8.34Min: 8.26 / Avg: 8.27 / Max: 8.28Min: 7.53 / Avg: 7.54 / Max: 7.54Min: 4.56 / Avg: 4.57 / Max: 4.58Min: 4.25 / Avg: 4.25 / Max: 4.251. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D48121620SE +/- 0.068, N = 3SE +/- 0.171, N = 3SE +/- 0.044, N = 3SE +/- 0.069, N = 3SE +/- 0.015, N = 3SE +/- 0.132, N = 4SE +/- 0.002, N = 3SE +/- 0.010, N = 317.02616.51016.40713.13212.57112.4529.4107.3411. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D48121620Min: 16.9 / Avg: 17.03 / Max: 17.13Min: 16.27 / Avg: 16.51 / Max: 16.84Min: 16.32 / Avg: 16.41 / Max: 16.46Min: 13.05 / Avg: 13.13 / Max: 13.27Min: 12.54 / Avg: 12.57 / Max: 12.59Min: 12.06 / Avg: 12.45 / Max: 12.62Min: 9.41 / Avg: 9.41 / Max: 9.41Min: 7.32 / Avg: 7.34 / Max: 7.351. (CXX) g++ options: -O3 -lm -ldl

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20406080100SE +/- 0.10, N = 7SE +/- 0.49, N = 6SE +/- 0.05, N = 6SE +/- 0.13, N = 6SE +/- 0.09, N = 6SE +/- 0.07, N = 5SE +/- 0.05, N = 5SE +/- 0.06, N = 4105.34103.67101.1183.2977.9766.7359.9345.531. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20406080100Min: 105.06 / Avg: 105.34 / Max: 105.71Min: 102.3 / Avg: 103.67 / Max: 105.36Min: 100.94 / Avg: 101.11 / Max: 101.28Min: 82.94 / Avg: 83.29 / Max: 83.72Min: 77.66 / Avg: 77.97 / Max: 78.2Min: 66.59 / Avg: 66.73 / Max: 66.93Min: 59.83 / Avg: 59.93 / Max: 60.07Min: 45.35 / Avg: 45.53 / Max: 45.661. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D5K10K15K20K25KSE +/- 221.43, N = 14SE +/- 160.24, N = 3SE +/- 12.02, N = 3SE +/- 15.28, N = 3SE +/- 15.28, N = 3SE +/- 56.86, N = 3SE +/- 11.55, N = 3SE +/- 5.35, N = 321706.0019737.0018593.0017140.0016210.0014610.0011020.009389.621. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D4K8K12K16K20KMin: 21440 / Avg: 21705.71 / Max: 24580Min: 19440 / Avg: 19736.67 / Max: 19990Min: 18570 / Avg: 18593.33 / Max: 18610Min: 17120 / Avg: 17140 / Max: 17170Min: 16190 / Avg: 16210 / Max: 16240Min: 14530 / Avg: 14610 / Max: 14720Min: 11000 / Avg: 11020 / Max: 11040Min: 9384.16 / Avg: 9389.62 / Max: 9400.321. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K0.6011.2021.8032.4043.005SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 32.6712.5952.2882.2781.5521.2751.2311.1581. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K246810Min: 2.66 / Avg: 2.67 / Max: 2.68Min: 2.59 / Avg: 2.6 / Max: 2.6Min: 2.29 / Avg: 2.29 / Max: 2.29Min: 2.27 / Avg: 2.28 / Max: 2.29Min: 1.55 / Avg: 1.55 / Max: 1.55Min: 1.27 / Avg: 1.28 / Max: 1.28Min: 1.23 / Avg: 1.23 / Max: 1.23Min: 1.16 / Avg: 1.16 / Max: 1.161. (CXX) g++ options: -O3

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1122334455SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 321.4221.6722.5325.3825.8334.6635.5849.32
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1020304050Min: 21.26 / Avg: 21.42 / Max: 21.59Min: 21.64 / Avg: 21.67 / Max: 21.73Min: 22.37 / Avg: 22.53 / Max: 22.7Min: 25.27 / Avg: 25.38 / Max: 25.5Min: 25.65 / Avg: 25.83 / Max: 26.06Min: 34.59 / Avg: 34.66 / Max: 34.77Min: 35.51 / Avg: 35.58 / Max: 35.66Min: 49.23 / Avg: 49.32 / Max: 49.5

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D0.85311.70622.55933.41244.2655SE +/- 0.036089, N = 3SE +/- 0.011695, N = 3SE +/- 0.005415, N = 3SE +/- 0.021266, N = 3SE +/- 0.001019, N = 3SE +/- 0.011241, N = 3SE +/- 0.001978, N = 3SE +/- 0.001540, N = 33.7915583.6453442.8210292.8134012.6608722.5891682.1722311.6475891. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D246810Min: 3.74 / Avg: 3.79 / Max: 3.86Min: 3.62 / Avg: 3.65 / Max: 3.66Min: 2.81 / Avg: 2.82 / Max: 2.83Min: 2.77 / Avg: 2.81 / Max: 2.84Min: 2.66 / Avg: 2.66 / Max: 2.66Min: 2.57 / Avg: 2.59 / Max: 2.6Min: 2.17 / Avg: 2.17 / Max: 2.18Min: 1.64 / Avg: 1.65 / Max: 1.651. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D30060090012001500SE +/- 1.00, N = 3SE +/- 2.19, N = 3SE +/- 4.33, N = 3SE +/- 1.45, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 31227114711009639338926735351. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D2004006008001000Min: 1226 / Avg: 1227 / Max: 1229Min: 1144 / Avg: 1146.67 / Max: 1151Min: 1092 / Avg: 1099.67 / Max: 1107Min: 961 / Avg: 963.33 / Max: 966Min: 932 / Avg: 932.67 / Max: 934Min: 891 / Avg: 891.67 / Max: 892Min: 672 / Avg: 673.33 / Max: 674Min: 535 / Avg: 535.33 / Max: 5361. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 5950X70140210280350SE +/- 1.87, N = 3SE +/- 2.15, N = 3SE +/- 2.82, N = 3SE +/- 1.42, N = 3SE +/- 3.50, N = 4SE +/- 0.72, N = 3SE +/- 1.03, N = 3314.75309.08304.62286.87274.02252.50137.63MIN: 19.82 / MAX: 8571.43MIN: 20.75 / MAX: 10000MIN: 14.92 / MAX: 12000MIN: 15.97 / MAX: 12000MIN: 16.73 / MAX: 10000MIN: 11.06 / MAX: 10000MIN: 6.19 / MAX: 10000
OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 5950X60120180240300Min: 311.96 / Avg: 314.75 / Max: 318.3Min: 304.8 / Avg: 309.08 / Max: 311.51Min: 300.42 / Avg: 304.62 / Max: 309.98Min: 284.76 / Avg: 286.87 / Max: 289.58Min: 263.85 / Avg: 274.02 / Max: 278.94Min: 251.1 / Avg: 252.5 / Max: 253.46Min: 135.84 / Avg: 137.63 / Max: 139.41

100M Rows Hits Dataset, Second Run

Ryzen 7 5800X3D: The test run did not produce a result.

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 7 5800X3DRyzen 7 7700XRyzen 9 5950X2004006008001000SE +/- 0.90, N = 3SE +/- 1.82, N = 3SE +/- 2.24, N = 3SE +/- 1.03, N = 3SE +/- 1.83, N = 3SE +/- 1.03, N = 3SE +/- 1.46, N = 3SE +/- 1.47, N = 31010.4939.1848.8810.6718.4600.2565.0442.2-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 7 5800X3DRyzen 7 7700XRyzen 9 5950X2004006008001000Min: 1008.8 / Avg: 1010.43 / Max: 1011.9Min: 936.1 / Avg: 939.1 / Max: 942.4Min: 846 / Avg: 848.77 / Max: 853.2Min: 809 / Avg: 810.57 / Max: 812.5Min: 714.9 / Avg: 718.37 / Max: 721.1Min: 598.2 / Avg: 600.17 / Max: 601.7Min: 562.3 / Avg: 565 / Max: 567.3Min: 439.7 / Avg: 442.2 / Max: 444.81. (CC) gcc options: -O3 -pthread -lz -llzma

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 5950X70140210280350SE +/- 1.70, N = 3SE +/- 1.90, N = 3SE +/- 2.03, N = 3SE +/- 3.79, N = 3SE +/- 1.36, N = 4SE +/- 0.46, N = 3SE +/- 0.50, N = 3322.26307.59300.48289.27277.21256.05141.29MIN: 19.85 / MAX: 10000MIN: 20.63 / MAX: 8571.43MIN: 14.81 / MAX: 12000MIN: 16.12 / MAX: 12000MIN: 15.12 / MAX: 12000MIN: 11.14 / MAX: 12000MIN: 6.32 / MAX: 8571.43
OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 5950X60120180240300Min: 319.97 / Avg: 322.26 / Max: 325.57Min: 305.05 / Avg: 307.59 / Max: 311.31Min: 297.08 / Avg: 300.48 / Max: 304.1Min: 285.3 / Avg: 289.27 / Max: 296.85Min: 273.7 / Avg: 277.21 / Max: 280.15Min: 255.32 / Avg: 256.05 / Max: 256.89Min: 140.7 / Avg: 141.29 / Max: 142.28

100M Rows Hits Dataset, Third Run

Ryzen 7 5800X3D: The test run did not produce a result.

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1530456075SE +/- 0.06, N = 5SE +/- 0.05, N = 5SE +/- 0.37, N = 5SE +/- 0.04, N = 5SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 4SE +/- 0.03, N = 366.9060.1455.0352.3146.4444.5040.7729.421. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1326395265Min: 66.75 / Avg: 66.9 / Max: 67.05Min: 59.99 / Avg: 60.14 / Max: 60.31Min: 53.99 / Avg: 55.03 / Max: 55.65Min: 52.2 / Avg: 52.31 / Max: 52.42Min: 46.35 / Avg: 46.44 / Max: 46.54Min: 44.41 / Avg: 44.5 / Max: 44.56Min: 40.65 / Avg: 40.77 / Max: 40.93Min: 29.39 / Avg: 29.42 / Max: 29.491. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Core i9 13900KRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X3K6K9K12K15KSE +/- 12.29, N = 8SE +/- 19.57, N = 7SE +/- 23.98, N = 7SE +/- 7.57, N = 6SE +/- 11.39, N = 6SE +/- 5.17, N = 6SE +/- 1.53, N = 5SE +/- 8.73, N = 511725.469040.479024.848535.068487.097899.985579.135160.031. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Core i9 13900KRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X2K4K6K8K10KMin: 11653.68 / Avg: 11725.46 / Max: 11762.01Min: 8969.49 / Avg: 9040.47 / Max: 9094.28Min: 8943.11 / Avg: 9024.84 / Max: 9115.5Min: 8511.6 / Avg: 8535.06 / Max: 8566.55Min: 8449.69 / Avg: 8487.09 / Max: 8520.71Min: 7883.32 / Avg: 7899.98 / Max: 7917.56Min: 5575.32 / Avg: 5579.13 / Max: 5583.75Min: 5146.39 / Avg: 5160.03 / Max: 5192.531. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

m-queens

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

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D1428425670SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 327.0528.5231.9032.8336.0038.0853.2761.311. (CXX) g++ options: -fopenmp -O2 -march=native
OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D1224364860Min: 27 / Avg: 27.05 / Max: 27.08Min: 28.5 / Avg: 28.52 / Max: 28.53Min: 31.54 / Avg: 31.9 / Max: 32.09Min: 32.69 / Avg: 32.83 / Max: 32.9Min: 35.98 / Avg: 36 / Max: 36.03Min: 38.05 / Avg: 38.08 / Max: 38.1Min: 53.23 / Avg: 53.27 / Max: 53.29Min: 61.26 / Avg: 61.31 / Max: 61.341. (CXX) g++ options: -fopenmp -O2 -march=native

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D70140210280350139.75145.63167.46174.25183.09192.36244.61316.43

Build2

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D306090120150SE +/- 0.22, N = 3SE +/- 0.17, N = 3SE +/- 0.29, N = 3SE +/- 0.36, N = 3SE +/- 0.39, N = 3SE +/- 0.18, N = 3SE +/- 0.33, N = 3SE +/- 0.26, N = 354.6255.4855.5462.6664.5683.0586.96123.47
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20406080100Min: 54.23 / Avg: 54.62 / Max: 55Min: 55.19 / Avg: 55.48 / Max: 55.78Min: 54.96 / Avg: 55.54 / Max: 55.89Min: 61.98 / Avg: 62.66 / Max: 63.2Min: 63.89 / Avg: 64.56 / Max: 65.24Min: 82.86 / Avg: 83.05 / Max: 83.41Min: 86.41 / Avg: 86.96 / Max: 87.54Min: 122.96 / Avg: 123.47 / Max: 123.8

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingRyzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D40K80K120K160K200KSE +/- 443.43, N = 3SE +/- 867.87, N = 3SE +/- 335.16, N = 3SE +/- 338.27, N = 3SE +/- 1545.76, N = 3SE +/- 492.53, N = 3SE +/- 68.54, N = 3SE +/- 167.75, N = 318997918272117929115688115665511471594633840391. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingRyzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D30K60K90K120K150KMin: 189112 / Avg: 189978.67 / Max: 190575Min: 181154 / Avg: 182721 / Max: 184151Min: 178708 / Avg: 179290.67 / Max: 179869Min: 156423 / Avg: 156880.67 / Max: 157541Min: 153573 / Avg: 156655 / Max: 158406Min: 113855 / Avg: 114715 / Max: 115561Min: 94499 / Avg: 94633 / Max: 94725Min: 83759 / Avg: 84038.67 / Max: 843391. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20406080100SE +/- 0.09, N = 6SE +/- 0.03, N = 6SE +/- 0.72, N = 15SE +/- 0.05, N = 5SE +/- 0.04, N = 5SE +/- 0.08, N = 5SE +/- 0.04, N = 5SE +/- 0.05, N = 487.8978.9275.9767.8159.8357.3254.7039.071. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D20406080100Min: 87.54 / Avg: 87.89 / Max: 88.1Min: 78.79 / Avg: 78.92 / Max: 79.05Min: 71.4 / Avg: 75.97 / Max: 80.12Min: 67.73 / Avg: 67.81 / Max: 67.99Min: 59.71 / Avg: 59.83 / Max: 59.95Min: 57.14 / Avg: 57.32 / Max: 57.54Min: 54.55 / Avg: 54.7 / Max: 54.79Min: 38.95 / Avg: 39.07 / Max: 39.171. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 5950X60120180240300SE +/- 2.97, N = 3SE +/- 0.91, N = 3SE +/- 2.11, N = 3SE +/- 1.36, N = 3SE +/- 2.81, N = 4SE +/- 2.70, N = 3SE +/- 1.62, N = 3283.61281.69266.18255.92244.01233.08126.29MIN: 13.28 / MAX: 8571.43MIN: 16.55 / MAX: 8571.43MIN: 14.83 / MAX: 8571.43MIN: 15.86 / MAX: 10000MIN: 12.67 / MAX: 8571.43MIN: 10.73 / MAX: 10000MIN: 5.9 / MAX: 8571.43
OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 5950X50100150200250Min: 278.79 / Avg: 283.61 / Max: 289.02Min: 280.71 / Avg: 281.69 / Max: 283.51Min: 263.15 / Avg: 266.18 / Max: 270.23Min: 254.1 / Avg: 255.92 / Max: 258.59Min: 236.96 / Avg: 244.01 / Max: 250.05Min: 227.69 / Avg: 233.08 / Max: 235.93Min: 123.51 / Avg: 126.29 / Max: 129.12

100M Rows Hits Dataset, First Run / Cold Cache

Ryzen 7 5800X3D: The test run did not produce a result.

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 7 5800X3DRyzen 7 7700XCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X1.0442.0883.1324.1765.22SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 32.072.202.483.563.573.573.864.64MIN: 1.99 / MAX: 4.7MIN: 2.08 / MAX: 2.63MIN: 2.17 / MAX: 4.67MIN: 3.51 / MAX: 4MIN: 3.5 / MAX: 3.91MIN: 3.51 / MAX: 4.09MIN: 3.78 / MAX: 4.38MIN: 4.34 / MAX: 5.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 7 5800X3DRyzen 7 7700XCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X246810Min: 2.06 / Avg: 2.07 / Max: 2.07Min: 2.16 / Avg: 2.2 / Max: 2.26Min: 2.21 / Avg: 2.48 / Max: 2.83Min: 3.55 / Avg: 3.56 / Max: 3.58Min: 3.56 / Avg: 3.57 / Max: 3.59Min: 3.55 / Avg: 3.57 / Max: 3.59Min: 3.84 / Avg: 3.86 / Max: 3.87Min: 4.49 / Avg: 4.64 / Max: 4.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D8K16K24K32K40KSE +/- 3.56, N = 3SE +/- 8.73, N = 3SE +/- 17.04, N = 3SE +/- 11.82, N = 3SE +/- 163.25, N = 3SE +/- 7.90, N = 3SE +/- 34.59, N = 3SE +/- 87.40, N = 317165.517769.218814.920384.721377.121953.530030.838402.9
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D7K14K21K28K35KMin: 17159.9 / Avg: 17165.5 / Max: 17172.1Min: 17755.3 / Avg: 17769.23 / Max: 17785.3Min: 18791.6 / Avg: 18814.9 / Max: 18848.1Min: 20369.3 / Avg: 20384.67 / Max: 20407.9Min: 21127.5 / Avg: 21377.13 / Max: 21684.2Min: 21937.7 / Avg: 21953.5 / Max: 21961.6Min: 29981.8 / Avg: 30030.8 / Max: 30097.6Min: 38233.3 / Avg: 38402.93 / Max: 38524.3

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D0.78721.57442.36163.14883.936SE +/- 0.019558, N = 3SE +/- 0.015172, N = 3SE +/- 0.003461, N = 3SE +/- 0.017538, N = 3SE +/- 0.001485, N = 3SE +/- 0.002560, N = 3SE +/- 0.008435, N = 3SE +/- 0.000870, N = 33.4986603.3073632.6374602.5429972.4553222.3722312.0617031.5642441. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Ryzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 7 5800X3D246810Min: 3.46 / Avg: 3.5 / Max: 3.53Min: 3.29 / Avg: 3.31 / Max: 3.34Min: 2.63 / Avg: 2.64 / Max: 2.64Min: 2.52 / Avg: 2.54 / Max: 2.58Min: 2.45 / Avg: 2.46 / Max: 2.46Min: 2.37 / Avg: 2.37 / Max: 2.38Min: 2.04 / Avg: 2.06 / Max: 2.07Min: 1.56 / Avg: 1.56 / Max: 1.571. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D816243240SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.42, N = 4SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 335.9734.4234.3830.4128.9426.9719.2816.111. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D816243240Min: 35.87 / Avg: 35.97 / Max: 36.16Min: 34.02 / Avg: 34.42 / Max: 34.69Min: 33.7 / Avg: 34.38 / Max: 35.61Min: 30.09 / Avg: 30.41 / Max: 30.69Min: 28.86 / Avg: 28.94 / Max: 29Min: 26.82 / Avg: 26.97 / Max: 27.05Min: 19.04 / Avg: 19.28 / Max: 19.73Min: 16.01 / Avg: 16.11 / Max: 16.211. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: CrownRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D816243240SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 332.4232.0228.7724.6424.1723.6216.7314.55MIN: 32.1 / MAX: 33.08MIN: 31.73 / MAX: 32.49MIN: 27.17 / MAX: 30.82MIN: 24.41 / MAX: 25.11MIN: 23.85 / MAX: 24.67MIN: 23.35 / MAX: 24.16MIN: 16.55 / MAX: 17.14MIN: 14.4 / MAX: 14.76
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: CrownRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D714212835Min: 32.37 / Avg: 32.42 / Max: 32.46Min: 31.95 / Avg: 32.02 / Max: 32.06Min: 28.71 / Avg: 28.77 / Max: 28.81Min: 24.57 / Avg: 24.64 / Max: 24.72Min: 24.02 / Avg: 24.17 / Max: 24.32Min: 23.54 / Avg: 23.62 / Max: 23.67Min: 16.66 / Avg: 16.73 / Max: 16.81Min: 14.45 / Avg: 14.55 / Max: 14.63

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Core i9 13900KRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X510152025SE +/- 0.04, N = 15SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 39.4510.4011.5611.6911.7911.8812.8420.98MIN: 9.09 / MAX: 81.37MIN: 9.9 / MAX: 11.21MIN: 11.37 / MAX: 16.98MIN: 11.56 / MAX: 12.46MIN: 11.53 / MAX: 12.86MIN: 11.7 / MAX: 12.58MIN: 12.64 / MAX: 16.1MIN: 20.28 / MAX: 22.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Core i9 13900KRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X510152025Min: 9.2 / Avg: 9.45 / Max: 9.75Min: 10.17 / Avg: 10.4 / Max: 10.63Min: 11.53 / Avg: 11.56 / Max: 11.61Min: 11.67 / Avg: 11.69 / Max: 11.72Min: 11.73 / Avg: 11.79 / Max: 11.83Min: 11.87 / Avg: 11.88 / Max: 11.89Min: 12.83 / Avg: 12.84 / Max: 12.84Min: 20.72 / Avg: 20.98 / Max: 21.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950X0.8731.7462.6193.4924.365SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.751.832.173.063.123.153.383.88MIN: 1.67 / MAX: 2.14MIN: 1.75 / MAX: 5.77MIN: 1.96 / MAX: 5.03MIN: 3 / MAX: 3.5MIN: 3.07 / MAX: 3.52MIN: 3.07 / MAX: 16.74MIN: 3.31 / MAX: 3.9MIN: 3.78 / MAX: 9.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950X246810Min: 1.71 / Avg: 1.75 / Max: 1.8Min: 1.82 / Avg: 1.83 / Max: 1.84Min: 2 / Avg: 2.17 / Max: 2.44Min: 3.04 / Avg: 3.06 / Max: 3.09Min: 3.11 / Avg: 3.12 / Max: 3.13Min: 3.11 / Avg: 3.15 / Max: 3.19Min: 3.36 / Avg: 3.38 / Max: 3.39Min: 3.84 / Avg: 3.88 / Max: 3.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 0Ryzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D306090120150SE +/- 0.23, N = 3SE +/- 0.38, N = 3SE +/- 0.99, N = 3SE +/- 0.33, N = 3SE +/- 1.02, N = 4SE +/- 0.16, N = 3SE +/- 0.41, N = 3SE +/- 0.23, N = 368.7270.2773.5282.0390.3199.53107.34152.141. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 0Ryzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D306090120150Min: 68.28 / Avg: 68.72 / Max: 69.06Min: 69.51 / Avg: 70.27 / Max: 70.74Min: 72.17 / Avg: 73.52 / Max: 75.44Min: 81.59 / Avg: 82.03 / Max: 82.66Min: 87.32 / Avg: 90.31 / Max: 91.75Min: 99.3 / Avg: 99.53 / Max: 99.85Min: 106.79 / Avg: 107.34 / Max: 108.14Min: 151.74 / Avg: 152.14 / Max: 152.521. (CXX) g++ options: -O3 -fPIC -lm

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 1.3.1Benchmark: vklBenchmark ScalarRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D4080120160200SE +/- 0.00, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 2.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 320119919515415014310891MIN: 19 / MAX: 3717MIN: 20 / MAX: 3859MIN: 17 / MAX: 3736MIN: 10 / MAX: 2978MIN: 13 / MAX: 2735MIN: 14 / MAX: 2735MIN: 9 / MAX: 2138MIN: 8 / MAX: 1908
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ScalarRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D4080120160200Min: 201 / Avg: 201 / Max: 201Min: 197 / Avg: 198.67 / Max: 200Min: 194 / Avg: 195.33 / Max: 197Min: 150 / Avg: 154 / Max: 156Min: 150 / Avg: 150 / Max: 150Min: 143 / Avg: 143.33 / Max: 144Min: 107 / Avg: 107.67 / Max: 108Min: 90 / Avg: 90.67 / Max: 91

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 7 7700XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D7001400210028003500SE +/- 12.56, N = 3SE +/- 3.97, N = 3SE +/- 10.22, N = 3SE +/- 5.95, N = 3SE +/- 25.49, N = 3SE +/- 9.10, N = 3SE +/- 18.44, N = 3SE +/- 4.86, N = 31532.651639.071836.261880.151931.472029.682077.453375.08
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 7 7700XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D6001200180024003000Min: 1515.55 / Avg: 1532.65 / Max: 1557.13Min: 1633.18 / Avg: 1639.07 / Max: 1646.62Min: 1817.49 / Avg: 1836.26 / Max: 1852.67Min: 1870.24 / Avg: 1880.15 / Max: 1890.81Min: 1883.79 / Avg: 1931.47 / Max: 1970.93Min: 2012.52 / Avg: 2029.68 / Max: 2043.52Min: 2051.31 / Avg: 2077.45 / Max: 2113.06Min: 3365.7 / Avg: 3375.08 / Max: 3381.99

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D140280420560700SE +/- 1.15, N = 3SE +/- 1.15, N = 3SE +/- 5.04, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 1.20, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 36596166095474994903973011. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D120240360480600Min: 657 / Avg: 659 / Max: 661Min: 614 / Avg: 616 / Max: 618Min: 599 / Avg: 608.67 / Max: 616Min: 546 / Avg: 546.67 / Max: 548Min: 498 / Avg: 499 / Max: 500Min: 488 / Avg: 489.67 / Max: 492Min: 396 / Avg: 397 / Max: 398Min: 301 / Avg: 301.33 / Max: 3021. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X0.8641.7282.5923.4564.32SE +/- 0.06, N = 2SE +/- 0.01, N = 3SE +/- 0.05, N = 14SE +/- 0.01, N = 2SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.761.982.403.073.193.193.453.84MIN: 1.67 / MAX: 2.13MIN: 1.92 / MAX: 4.62MIN: 2.12 / MAX: 4.2MIN: 3.01 / MAX: 3.42MIN: 3.12 / MAX: 3.6MIN: 3.15 / MAX: 5.17MIN: 3.37 / MAX: 3.93MIN: 3.77 / MAX: 4.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X246810Min: 1.7 / Avg: 1.76 / Max: 1.81Min: 1.97 / Avg: 1.98 / Max: 1.99Min: 2.15 / Avg: 2.4 / Max: 2.64Min: 3.06 / Avg: 3.07 / Max: 3.08Min: 3.17 / Avg: 3.19 / Max: 3.22Min: 3.18 / Avg: 3.19 / Max: 3.22Min: 3.44 / Avg: 3.45 / Max: 3.46Min: 3.82 / Avg: 3.84 / Max: 3.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Server Rack - Acceleration: CPU-onlyRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D0.07470.14940.22410.29880.3735SE +/- 0.000, N = 14SE +/- 0.000, N = 14SE +/- 0.006, N = 15SE +/- 0.000, N = 14SE +/- 0.000, N = 14SE +/- 0.000, N = 14SE +/- 0.000, N = 13SE +/- 0.001, N = 130.1530.1540.1770.1820.1860.2430.2580.332
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Server Rack - Acceleration: CPU-onlyRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D12345Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.16 / Avg: 0.18 / Max: 0.25Min: 0.18 / Avg: 0.18 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.33 / Avg: 0.33 / Max: 0.34

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: particle_volume/pathtracer/real_timeRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D50100150200250SE +/- 0.27, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.29, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 3SE +/- 0.40, N = 3SE +/- 0.10, N = 3248.83229.11228.88217.68199.96168.03167.57115.16
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D50100150200250Min: 248.35 / Avg: 248.83 / Max: 249.28Min: 229.06 / Avg: 229.11 / Max: 229.18Min: 228.81 / Avg: 228.88 / Max: 229.02Min: 217.12 / Avg: 217.68 / Max: 218.12Min: 199.93 / Avg: 199.96 / Max: 199.98Min: 167.74 / Avg: 168.03 / Max: 168.52Min: 167.12 / Avg: 167.57 / Max: 168.36Min: 115.02 / Avg: 115.16 / Max: 115.34

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215SE +/- 0.013, N = 7SE +/- 0.002, N = 7SE +/- 0.004, N = 7SE +/- 0.009, N = 7SE +/- 0.004, N = 6SE +/- 0.009, N = 6SE +/- 0.004, N = 6SE +/- 0.005, N = 54.8734.9165.2635.9186.3396.4128.03410.497
OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215Min: 4.84 / Avg: 4.87 / Max: 4.93Min: 4.91 / Avg: 4.92 / Max: 4.93Min: 5.25 / Avg: 5.26 / Max: 5.28Min: 5.89 / Avg: 5.92 / Max: 5.96Min: 6.33 / Avg: 6.34 / Max: 6.35Min: 6.37 / Avg: 6.41 / Max: 6.44Min: 8.02 / Avg: 8.03 / Max: 8.05Min: 10.48 / Avg: 10.5 / Max: 10.51

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D48121620SE +/- 0.058, N = 6SE +/- 0.033, N = 6SE +/- 0.105, N = 15SE +/- 0.058, N = 6SE +/- 0.058, N = 6SE +/- 0.013, N = 5SE +/- 0.059, N = 5SE +/- 0.095, N = 46.8477.2047.4487.7608.2568.94011.01114.733
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D48121620Min: 6.64 / Avg: 6.85 / Max: 7.01Min: 7.12 / Avg: 7.2 / Max: 7.33Min: 6.5 / Avg: 7.45 / Max: 7.99Min: 7.51 / Avg: 7.76 / Max: 7.91Min: 7.98 / Avg: 8.26 / Max: 8.35Min: 8.9 / Avg: 8.94 / Max: 8.97Min: 10.82 / Avg: 11.01 / Max: 11.15Min: 14.48 / Avg: 14.73 / Max: 14.93

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D5001000150020002500SE +/- 2.73, N = 3SE +/- 29.87, N = 3SE +/- 7.51, N = 3SE +/- 5.33, N = 3SE +/- 1.86, N = 3SE +/- 3.61, N = 3SE +/- 1.73, N = 3SE +/- 1.86, N = 3232321772045188917841717134210801. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D400800120016002000Min: 2319 / Avg: 2322.67 / Max: 2328Min: 2145 / Avg: 2177.33 / Max: 2237Min: 2032 / Avg: 2045.33 / Max: 2058Min: 1878 / Avg: 1888.67 / Max: 1894Min: 1780 / Avg: 1783.67 / Max: 1786Min: 1712 / Avg: 1717 / Max: 1724Min: 1339 / Avg: 1342 / Max: 1345Min: 1078 / Avg: 1080.33 / Max: 10841. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1122334455SE +/- 0.04, N = 4SE +/- 0.07, N = 4SE +/- 0.22, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 350.7145.5043.4041.1636.6134.7832.4723.681. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1020304050Min: 50.6 / Avg: 50.71 / Max: 50.8Min: 45.32 / Avg: 45.5 / Max: 45.6Min: 43.15 / Avg: 43.4 / Max: 44.06Min: 41.09 / Avg: 41.16 / Max: 41.2Min: 36.55 / Avg: 36.61 / Max: 36.67Min: 34.69 / Avg: 34.78 / Max: 34.9Min: 32.39 / Avg: 32.47 / Max: 32.56Min: 23.62 / Avg: 23.68 / Max: 23.751. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D612182430SE +/- 0.12, N = 15SE +/- 0.10, N = 5SE +/- 0.17, N = 12SE +/- 0.10, N = 4SE +/- 0.16, N = 4SE +/- 0.32, N = 15SE +/- 0.27, N = 3SE +/- 0.09, N = 310.9211.2211.5112.1313.2615.3719.0323.35
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D510152025Min: 10.11 / Avg: 10.92 / Max: 11.43Min: 10.94 / Avg: 11.22 / Max: 11.48Min: 10.52 / Avg: 11.51 / Max: 12.19Min: 11.86 / Avg: 12.13 / Max: 12.33Min: 12.95 / Avg: 13.26 / Max: 13.69Min: 12.95 / Avg: 15.37 / Max: 16.52Min: 18.5 / Avg: 19.03 / Max: 19.34Min: 23.19 / Avg: 23.35 / Max: 23.51

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fill SyncCore i9 13900KRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 7 7700X9K18K27K36K45KSE +/- 85.24, N = 3SE +/- 61.08, N = 3SE +/- 97.08, N = 3SE +/- 80.88, N = 3SE +/- 33.05, N = 3SE +/- 50.20, N = 3SE +/- 28.02, N = 3SE +/- 29.41, N = 343677417324021939618302132987921599204391. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fill SyncCore i9 13900KRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 7 7700X8K16K24K32K40KMin: 43558 / Avg: 43676.67 / Max: 43842Min: 41611 / Avg: 41732 / Max: 41807Min: 40041 / Avg: 40219.33 / Max: 40375Min: 39475 / Avg: 39618 / Max: 39755Min: 30159 / Avg: 30213 / Max: 30273Min: 29815 / Avg: 29879 / Max: 29978Min: 21545 / Avg: 21599 / Max: 21639Min: 20381 / Avg: 20439.33 / Max: 204751. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformCore i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D60120180240300SE +/- 0.38, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.57, N = 7SE +/- 0.18, N = 3SE +/- 0.55, N = 3SE +/- 0.44, N = 3SE +/- 0.15, N = 3254.0155.7154.7154.4153.0151.1127.6119.3
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformCore i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D50100150200250Min: 253.3 / Avg: 254.03 / Max: 254.6Min: 155.5 / Avg: 155.7 / Max: 156Min: 154.6 / Avg: 154.7 / Max: 154.9Min: 152.5 / Avg: 154.4 / Max: 156.8Min: 152.7 / Avg: 152.97 / Max: 153.3Min: 150.2 / Avg: 151.13 / Max: 152.1Min: 126.7 / Avg: 127.57 / Max: 128.1Min: 119.1 / Avg: 119.3 / Max: 119.6

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D4080120160200SE +/- 0.24, N = 3SE +/- 0.31, N = 3SE +/- 1.24, N = 3SE +/- 0.29, N = 3SE +/- 0.23, N = 3SE +/- 0.27, N = 3SE +/- 0.42, N = 3SE +/- 0.36, N = 386.3290.0390.88105.38112.74118.81142.23183.07
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D306090120150Min: 86.07 / Avg: 86.32 / Max: 86.81Min: 89.43 / Avg: 90.03 / Max: 90.38Min: 88.47 / Avg: 90.88 / Max: 92.54Min: 104.96 / Avg: 105.38 / Max: 105.95Min: 112.3 / Avg: 112.73 / Max: 113.05Min: 118.42 / Avg: 118.81 / Max: 119.33Min: 141.39 / Avg: 142.23 / Max: 142.76Min: 182.45 / Avg: 183.07 / Max: 183.7

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Ryzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X100M200M300M400M500MSE +/- 125089.32, N = 4SE +/- 399596.70, N = 3SE +/- 343266.37, N = 4SE +/- 457167.13, N = 3SE +/- 2423281.77, N = 3SE +/- 95733.87, N = 5SE +/- 156345.04, N = 3SE +/- 69749.32, N = 34445030254382888004361201504307696674151192003931218202341361002099941331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Ryzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X80M160M240M320M400MMin: 444230400 / Avg: 444503025 / Max: 444736800Min: 437617600 / Avg: 438288800 / Max: 439000100Min: 435121000 / Avg: 436120150 / Max: 436629200Min: 429872100 / Avg: 430769666.67 / Max: 431369400Min: 412571600 / Avg: 415119200 / Max: 419963600Min: 392864700 / Avg: 393121820 / Max: 393386800Min: 233899600 / Avg: 234136100 / Max: 234431500Min: 209915100 / Avg: 209994133.33 / Max: 2101332001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D60120180240300SE +/- 2.29, N = 15SE +/- 1.64, N = 15SE +/- 1.97, N = 10SE +/- 1.51, N = 15SE +/- 1.69, N = 10SE +/- 1.18, N = 15SE +/- 0.99, N = 9SE +/- 1.00, N = 8295.75268.71257.55253.35230.13208.24186.48139.981. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D50100150200250Min: 264.47 / Avg: 295.75 / Max: 299.84Min: 246.44 / Avg: 268.71 / Max: 272.62Min: 241.17 / Avg: 257.55 / Max: 262.53Min: 232.43 / Avg: 253.35 / Max: 256.14Min: 214.97 / Avg: 230.13 / Max: 232.45Min: 192.08 / Avg: 208.24 / Max: 210.8Min: 178.62 / Avg: 186.48 / Max: 188.3Min: 133.07 / Avg: 139.98 / Max: 141.621. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

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 0.11Encoder Speed: 6, LosslessRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215SE +/- 0.014, N = 7SE +/- 0.011, N = 7SE +/- 0.030, N = 7SE +/- 0.030, N = 7SE +/- 0.037, N = 6SE +/- 0.039, N = 6SE +/- 0.014, N = 6SE +/- 0.019, N = 55.2065.4615.6346.0476.5037.5987.65510.9691. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215Min: 5.17 / Avg: 5.21 / Max: 5.28Min: 5.42 / Avg: 5.46 / Max: 5.5Min: 5.57 / Avg: 5.63 / Max: 5.77Min: 5.96 / Avg: 6.05 / Max: 6.16Min: 6.38 / Avg: 6.5 / Max: 6.64Min: 7.49 / Avg: 7.6 / Max: 7.74Min: 7.63 / Avg: 7.66 / Max: 7.71Min: 10.92 / Avg: 10.97 / Max: 11.031. (CXX) g++ options: -O3 -fPIC -lm

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X3K6K9K12K15KSE +/- 48.40, N = 3SE +/- 158.02, N = 5SE +/- 25.34, N = 3SE +/- 23.72, N = 3SE +/- 134.00, N = 3SE +/- 21.39, N = 3SE +/- 5.60, N = 3SE +/- 75.93, N = 316045.714384.313931.912874.79293.98857.67748.07634.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X3K6K9K12K15KMin: 15963 / Avg: 16045.67 / Max: 16130.6Min: 13770.3 / Avg: 14384.3 / Max: 14640.4Min: 13895.1 / Avg: 13931.93 / Max: 13980.5Min: 12827.9 / Avg: 12874.73 / Max: 12904.7Min: 9042.7 / Avg: 9293.87 / Max: 9500.4Min: 8814.9 / Avg: 8857.63 / Max: 8880.9Min: 7738.2 / Avg: 7748.03 / Max: 7757.6Min: 7496.9 / Avg: 7634 / Max: 7759.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D50100150200250SE +/- 1.00, N = 9SE +/- 0.73, N = 9SE +/- 0.53, N = 9SE +/- 0.51, N = 9SE +/- 0.66, N = 8SE +/- 0.35, N = 8SE +/- 0.20, N = 7SE +/- 0.40, N = 6229.83215.29212.95196.50187.69156.50120.16109.781. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D4080120160200Min: 224.12 / Avg: 229.83 / Max: 233.22Min: 210.42 / Avg: 215.29 / Max: 218.19Min: 210.07 / Avg: 212.95 / Max: 214.84Min: 193.25 / Avg: 196.5 / Max: 197.97Min: 184.68 / Avg: 187.69 / Max: 189.64Min: 155.52 / Avg: 156.5 / Max: 158.86Min: 119.39 / Avg: 120.16 / Max: 121.11Min: 108.66 / Avg: 109.78 / Max: 111.361. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 0.11Encoder Speed: 2Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1632486480SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.22, N = 3SE +/- 0.54, N = 4SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 334.2734.8935.9440.3343.9549.6550.7271.701. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 2Core i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D1428425670Min: 33.96 / Avg: 34.27 / Max: 34.49Min: 34.87 / Avg: 34.89 / Max: 34.9Min: 35.64 / Avg: 35.94 / Max: 36.23Min: 39.9 / Avg: 40.33 / Max: 40.6Min: 42.35 / Avg: 43.95 / Max: 44.74Min: 49.27 / Avg: 49.65 / Max: 49.89Min: 50.55 / Avg: 50.72 / Max: 50.93Min: 71.54 / Avg: 71.7 / Max: 71.791. (CXX) g++ options: -O3 -fPIC -lm

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdCore i9 13900KRyzen 7 5800X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950X48121620SE +/- 0.13, N = 15SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 38.558.609.8511.4311.6111.9712.0017.82MIN: 7.56 / MAX: 12.27MIN: 8.18 / MAX: 22.62MIN: 9.55 / MAX: 10.81MIN: 11.25 / MAX: 12.46MIN: 11.46 / MAX: 12.08MIN: 11.77 / MAX: 12.85MIN: 11.85 / MAX: 14.84MIN: 16.72 / MAX: 24.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdCore i9 13900KRyzen 7 5800X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950X510152025Min: 7.68 / Avg: 8.55 / Max: 9.32Min: 8.45 / Avg: 8.6 / Max: 8.7Min: 9.72 / Avg: 9.85 / Max: 10.02Min: 11.37 / Avg: 11.43 / Max: 11.46Min: 11.57 / Avg: 11.61 / Max: 11.64Min: 11.92 / Avg: 11.97 / Max: 12Min: 11.96 / Avg: 12 / Max: 12.05Min: 17.59 / Avg: 17.82 / Max: 18.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: Asian DragonRyzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D816243240SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 334.3333.5433.5426.5226.4524.7418.2616.48MIN: 33.87 / MAX: 34.89MIN: 31.42 / MAX: 35.72MIN: 33.23 / MAX: 34.25MIN: 26.41 / MAX: 26.79MIN: 26.31 / MAX: 26.72MIN: 24.59 / MAX: 25.13MIN: 18.17 / MAX: 18.47MIN: 16.34 / MAX: 16.79
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: Asian DragonRyzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D714212835Min: 34.01 / Avg: 34.33 / Max: 34.54Min: 33.36 / Avg: 33.54 / Max: 33.86Min: 33.44 / Avg: 33.54 / Max: 33.61Min: 26.5 / Avg: 26.52 / Max: 26.55Min: 26.41 / Avg: 26.45 / Max: 26.51Min: 24.71 / Avg: 24.74 / Max: 24.78Min: 18.24 / Avg: 18.26 / Max: 18.29Min: 16.43 / Avg: 16.48 / Max: 16.51

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D0.29480.58960.88441.17921.474SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.311.201.201.110.990.930.820.631. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D246810Min: 1.31 / Avg: 1.31 / Max: 1.32Min: 1.19 / Avg: 1.2 / Max: 1.21Min: 1.18 / Avg: 1.2 / Max: 1.22Min: 1.1 / Avg: 1.11 / Max: 1.11Min: 0.98 / Avg: 0.99 / Max: 0.99Min: 0.93 / Avg: 0.93 / Max: 0.93Min: 0.81 / Avg: 0.82 / Max: 0.82Min: 0.63 / Avg: 0.63 / Max: 0.631. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080pRyzen 7 5800X3DRyzen 7 7700XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X60120180240300SE +/- 7.40, N = 15SE +/- 6.70, N = 15SE +/- 2.48, N = 15SE +/- 1.66, N = 14SE +/- 2.81, N = 15SE +/- 1.80, N = 11SE +/- 2.02, N = 15SE +/- 0.80, N = 8295.26291.17273.80252.95251.83243.44231.37142.691. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080pRyzen 7 5800X3DRyzen 7 7700XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X50100150200250Min: 255.05 / Avg: 295.26 / Max: 326.7Min: 258.71 / Avg: 291.17 / Max: 319.83Min: 249.19 / Avg: 273.8 / Max: 283.24Min: 243.65 / Avg: 252.95 / Max: 263.12Min: 224.27 / Avg: 251.83 / Max: 268.66Min: 230.08 / Avg: 243.44 / Max: 250.79Min: 220.69 / Avg: 231.37 / Max: 244.35Min: 140.32 / Avg: 142.69 / Max: 145.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D510152025SE +/- 0.09, N = 5SE +/- 0.06, N = 5SE +/- 0.29, N = 15SE +/- 0.04, N = 4SE +/- 0.10, N = 4SE +/- 0.06, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 318.7017.6516.7714.8314.7413.8312.529.04MIN: 16.72 / MAX: 18.91MIN: 15.98 / MAX: 18.07MIN: 11.67 / MAX: 19.31MIN: 13.61 / MAX: 15.15MIN: 13.39 / MAX: 14.98MIN: 12.74 / MAX: 14MIN: 11.59 / MAX: 12.69MIN: 8.59 / MAX: 9.14
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPURyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D510152025Min: 18.36 / Avg: 18.7 / Max: 18.85Min: 17.56 / Avg: 17.65 / Max: 17.89Min: 14.54 / Avg: 16.77 / Max: 18.19Min: 14.73 / Avg: 14.83 / Max: 14.89Min: 14.49 / Avg: 14.74 / Max: 14.95Min: 13.66 / Avg: 13.83 / Max: 13.93Min: 12.46 / Avg: 12.52 / Max: 12.59Min: 9.02 / Avg: 9.04 / Max: 9.08

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X11002200330044005500SE +/- 9.84, N = 3SE +/- 47.14, N = 15SE +/- 46.39, N = 15SE +/- 13.23, N = 3SE +/- 38.52, N = 3SE +/- 37.47, N = 3SE +/- 2.32, N = 3SE +/- 26.51, N = 154914.473946.463871.123601.133567.933012.282598.492376.191. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X9001800270036004500Min: 4895.7 / Avg: 4914.47 / Max: 4929.01Min: 3452.55 / Avg: 3946.46 / Max: 4153.26Min: 3477.48 / Avg: 3871.12 / Max: 4324.23Min: 3585.38 / Avg: 3601.13 / Max: 3627.42Min: 3491.12 / Avg: 3567.93 / Max: 3611.51Min: 2947.49 / Avg: 3012.28 / Max: 3077.28Min: 2595.11 / Avg: 2598.49 / Max: 2602.93Min: 2217.31 / Avg: 2376.19 / Max: 2530.061. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D50100150200250SE +/- 0.45, N = 9SE +/- 0.50, N = 9SE +/- 0.72, N = 9SE +/- 0.26, N = 9SE +/- 0.39, N = 8SE +/- 0.33, N = 8SE +/- 0.29, N = 8SE +/- 0.22, N = 7211.67193.71183.44183.39165.72141.04140.03102.431. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D4080120160200Min: 209.99 / Avg: 211.67 / Max: 213.73Min: 191.73 / Avg: 193.71 / Max: 196.35Min: 179.91 / Avg: 183.44 / Max: 187.05Min: 182.47 / Avg: 183.39 / Max: 184.8Min: 164.53 / Avg: 165.72 / Max: 167.41Min: 139.85 / Avg: 141.04 / Max: 142.49Min: 138.53 / Avg: 140.03 / Max: 141.08Min: 101.71 / Avg: 102.43 / Max: 103.581. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D20406080100SE +/- 0.10, N = 5SE +/- 0.11, N = 5SE +/- 0.40, N = 5SE +/- 0.11, N = 5SE +/- 0.16, N = 5SE +/- 0.10, N = 4SE +/- 0.05, N = 4SE +/- 0.10, N = 374.7370.1066.8164.9159.6249.0648.1336.431. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D1428425670Min: 74.35 / Avg: 74.73 / Max: 74.86Min: 69.9 / Avg: 70.1 / Max: 70.41Min: 66.05 / Avg: 66.81 / Max: 68.21Min: 64.6 / Avg: 64.91 / Max: 65.21Min: 59.22 / Avg: 59.62 / Max: 60.02Min: 48.82 / Avg: 49.06 / Max: 49.31Min: 48.04 / Avg: 48.13 / Max: 48.26Min: 36.24 / Avg: 36.43 / Max: 36.581. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D0.10130.20260.30390.40520.5065SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 70.450.410.410.370.340.310.280.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D12345Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.41 / Avg: 0.41 / Max: 0.42Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.33 / Avg: 0.34 / Max: 0.34Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.21 / Avg: 0.22 / Max: 0.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SemaphoresCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3D800K1600K2400K3200K4000KSE +/- 1428.39, N = 3SE +/- 506.92, N = 3SE +/- 1160.61, N = 3SE +/- 756.14, N = 3SE +/- 966.27, N = 3SE +/- 1427.12, N = 3SE +/- 684.51, N = 3SE +/- 185.21, N = 33517761.823477980.143477892.663407082.542585686.292569631.591749118.241730567.001. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SemaphoresCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3D600K1200K1800K2400K3000KMin: 3515358.09 / Avg: 3517761.82 / Max: 3520300.65Min: 3477221.16 / Avg: 3477980.14 / Max: 3478941.75Min: 3475583.26 / Avg: 3477892.66 / Max: 3479250Min: 3405645.72 / Avg: 3407082.54 / Max: 3408209.49Min: 2584301.67 / Avg: 2585686.29 / Max: 2587546.13Min: 2566920.05 / Avg: 2569631.59 / Max: 2571759.15Min: 1747784.12 / Avg: 1749118.24 / Max: 1750051.34Min: 1730215.02 / Avg: 1730567 / Max: 1730842.961. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 7 7700XRyzen 9 7900X3DRyzen 7 5800X3D60120180240300SE +/- 0.15, N = 10SE +/- 0.20, N = 10SE +/- 0.36, N = 10SE +/- 0.22, N = 9SE +/- 0.10, N = 9SE +/- 0.07, N = 9SE +/- 0.11, N = 9SE +/- 0.07, N = 8260.54230.10216.38199.48177.47176.12171.44128.801. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 7 7700XRyzen 9 7900X3DRyzen 7 5800X3D50100150200250Min: 259.85 / Avg: 260.54 / Max: 261.43Min: 229.38 / Avg: 230.1 / Max: 231.07Min: 214.26 / Avg: 216.38 / Max: 217.88Min: 198.78 / Avg: 199.48 / Max: 200.84Min: 176.89 / Avg: 177.47 / Max: 177.89Min: 175.82 / Avg: 176.12 / Max: 176.39Min: 171.13 / Avg: 171.44 / Max: 172.03Min: 128.52 / Avg: 128.8 / Max: 129.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 1.1Video Input: Summer Nature 4KCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X90180270360450SE +/- 0.30, N = 3SE +/- 0.13, N = 5SE +/- 2.88, N = 5SE +/- 0.21, N = 5SE +/- 2.72, N = 5SE +/- 0.14, N = 5SE +/- 0.36, N = 4SE +/- 0.26, N = 3429.21401.30394.40368.80368.12342.05253.07212.531. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 4KCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X80160240320400Min: 428.67 / Avg: 429.21 / Max: 429.7Min: 400.91 / Avg: 401.3 / Max: 401.61Min: 385.16 / Avg: 394.4 / Max: 400.58Min: 368.34 / Avg: 368.8 / Max: 369.43Min: 361.13 / Avg: 368.12 / Max: 377.29Min: 341.7 / Avg: 342.05 / Max: 342.41Min: 252.47 / Avg: 253.07 / Max: 254.09Min: 212.02 / Avg: 212.53 / Max: 212.851. (CC) gcc options: -pthread -lm

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Ryzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950X246810SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 15SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 32.993.353.674.344.344.404.716.01MIN: 2.85 / MAX: 4.45MIN: 3.28 / MAX: 6.15MIN: 3.25 / MAX: 5.58MIN: 4.23 / MAX: 4.87MIN: 4.27 / MAX: 5MIN: 4.3 / MAX: 4.81MIN: 4.61 / MAX: 5.29MIN: 5.87 / MAX: 8.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Ryzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950X246810Min: 2.92 / Avg: 2.99 / Max: 3.11Min: 3.35 / Avg: 3.35 / Max: 3.35Min: 3.31 / Avg: 3.67 / Max: 3.98Min: 4.31 / Avg: 4.34 / Max: 4.37Min: 4.31 / Avg: 4.34 / Max: 4.37Min: 4.39 / Avg: 4.4 / Max: 4.43Min: 4.68 / Avg: 4.71 / Max: 4.72Min: 5.96 / Avg: 6.01 / Max: 6.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K1326395265SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 35.405.525.525.996.0014.4618.2356.87-fPIC -shared - MIN: 2.8 / MAX: 12.31-fPIC -shared - MIN: 2.85 / MAX: 12.38-fPIC -shared - MIN: 2.9 / MAX: 12.84-fPIC -shared - MIN: 3.05 / MAX: 13.36-fPIC -shared - MIN: 3.1 / MAX: 16.19-fPIC -shared - MIN: 9.58 / MAX: 23.62-fPIC -shared - MIN: 8.06 / MAX: 27.5-pie -ldl - MIN: 30.87 / MAX: 106.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K1122334455Min: 5.39 / Avg: 5.4 / Max: 5.42Min: 5.5 / Avg: 5.52 / Max: 5.53Min: 5.51 / Avg: 5.52 / Max: 5.53Min: 5.98 / Avg: 5.99 / Max: 5.99Min: 6 / Avg: 6 / Max: 6Min: 14.44 / Avg: 14.46 / Max: 14.49Min: 18.21 / Avg: 18.23 / Max: 18.27Min: 56.58 / Avg: 56.87 / Max: 57.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D1.29292.58583.87875.17166.4645SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.004, N = 3SE +/- 0.035, N = 3SE +/- 0.011, N = 3SE +/- 0.011, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 35.7465.2745.1024.8934.6143.9613.8582.9161. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810Min: 5.74 / Avg: 5.75 / Max: 5.76Min: 5.26 / Avg: 5.27 / Max: 5.29Min: 5.1 / Avg: 5.1 / Max: 5.11Min: 4.83 / Avg: 4.89 / Max: 4.95Min: 4.6 / Avg: 4.61 / Max: 4.64Min: 3.94 / Avg: 3.96 / Max: 3.98Min: 3.85 / Avg: 3.86 / Max: 3.87Min: 2.91 / Avg: 2.92 / Max: 2.921. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 1.15, N = 3SE +/- 0.07, N = 3SE +/- 0.52, N = 3SE +/- 1.27, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.57, N = 15SE +/- 0.27, N = 375.8580.5483.4890.2695.45113.98117.33148.93MIN: 74.42 / MAX: 99.17MIN: 80.17 / MAX: 86.18MIN: 81.43 / MAX: 94.9MIN: 87.98 / MAX: 95.67MIN: 94.77 / MAX: 103.2MIN: 113.39 / MAX: 119.97MIN: 114.58 / MAX: 811.08MIN: 148.35 / MAX: 152.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XCore i9 13900KRyzen 7 5800X3D306090120150Min: 74.64 / Avg: 75.85 / Max: 78.14Min: 80.46 / Avg: 80.54 / Max: 80.68Min: 82.76 / Avg: 83.48 / Max: 84.49Min: 88.49 / Avg: 90.26 / Max: 92.72Min: 95.23 / Avg: 95.45 / Max: 95.58Min: 113.81 / Avg: 113.98 / Max: 114.1Min: 115.45 / Avg: 117.33 / Max: 122.33Min: 148.63 / Avg: 148.93 / Max: 149.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 7 7700XRyzen 9 7900X3DRyzen 7 5800X3D4080120160200SE +/- 0.21, N = 9SE +/- 0.09, N = 9SE +/- 0.29, N = 9SE +/- 0.18, N = 8SE +/- 0.15, N = 8SE +/- 0.04, N = 8SE +/- 0.13, N = 8SE +/- 0.06, N = 7194.48173.02164.74147.58137.52133.81128.1099.071. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 7 7700XRyzen 9 7900X3DRyzen 7 5800X3D4080120160200Min: 193.75 / Avg: 194.48 / Max: 195.89Min: 172.65 / Avg: 173.02 / Max: 173.4Min: 163.65 / Avg: 164.74 / Max: 166.02Min: 147.01 / Avg: 147.58 / Max: 148.3Min: 136.91 / Avg: 137.52 / Max: 138.33Min: 133.58 / Avg: 133.81 / Max: 133.93Min: 127.7 / Avg: 128.1 / Max: 128.74Min: 98.86 / Avg: 99.07 / Max: 99.311. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSECore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D816243240SE +/- 0.16, N = 3SE +/- 0.20, N = 3SE +/- 0.29, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 316.9519.6120.2120.7122.6623.1026.9033.26
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSECore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D714212835Min: 16.74 / Avg: 16.95 / Max: 17.25Min: 19.33 / Avg: 19.61 / Max: 20.01Min: 19.89 / Avg: 20.21 / Max: 20.79Min: 20.51 / Avg: 20.71 / Max: 20.92Min: 22.51 / Avg: 22.66 / Max: 22.79Min: 23.04 / Avg: 23.1 / Max: 23.14Min: 26.42 / Avg: 26.9 / Max: 27.28Min: 33.19 / Avg: 33.26 / Max: 33.35

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D408012016020092.4797.1997.85111.76114.67120.28136.52181.26

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 0.14Test: Finagle HTTP RequestsRyzen 7 7700XCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X7001400210028003500SE +/- 14.55, N = 3SE +/- 12.67, N = 15SE +/- 23.88, N = 3SE +/- 14.73, N = 3SE +/- 19.45, N = 3SE +/- 14.56, N = 3SE +/- 13.60, N = 3SE +/- 20.55, N = 31695.91941.21971.21974.02072.72077.92862.53310.1MIN: 1514.18 / MAX: 1878.23MIN: 1647.41 / MAX: 2335.31MIN: 1777.92 / MAX: 2063.77MIN: 1798.72 / MAX: 2008.91MIN: 1894.58 / MAX: 2126.36MIN: 1872.52 / MAX: 2173.28MIN: 2469.86 / MAX: 3065.69MIN: 2959.21 / MAX: 3374.9
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Finagle HTTP RequestsRyzen 7 7700XCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X6001200180024003000Min: 1669.5 / Avg: 1695.9 / Max: 1719.69Min: 1784.29 / Avg: 1941.17 / Max: 1999.58Min: 1928.28 / Avg: 1971.23 / Max: 2010.8Min: 1944.67 / Avg: 1974.02 / Max: 1990.88Min: 2044.78 / Avg: 2072.68 / Max: 2110.12Min: 2049.32 / Avg: 2077.85 / Max: 2097.19Min: 2843.01 / Avg: 2862.5 / Max: 2888.68Min: 3285.81 / Avg: 3310.08 / Max: 3350.94

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read While WritingRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D900K1800K2700K3600K4500KSE +/- 14122.60, N = 3SE +/- 11052.18, N = 3SE +/- 112025.01, N = 15SE +/- 17781.19, N = 3SE +/- 20295.72, N = 3SE +/- 6392.88, N = 3SE +/- 6562.38, N = 3SE +/- 11402.66, N = 3437280641523733859856361642034010953218285280792722582141. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read While WritingRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3D800K1600K2400K3200K4000KMin: 4349209 / Avg: 4372805.67 / Max: 4398048Min: 4132734 / Avg: 4152372.67 / Max: 4170978Min: 3407208 / Avg: 3859855.67 / Max: 4814228Min: 3596369 / Avg: 3616419.67 / Max: 3651881Min: 3378015 / Avg: 3401095.33 / Max: 3441553Min: 3206907 / Avg: 3218285 / Max: 3229025Min: 2794910 / Avg: 2807927 / Max: 2815889Min: 2241247 / Avg: 2258213.67 / Max: 22798941. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 0.14Test: Akka Unbalanced Cobwebbed TreeRyzen 7 7700XCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 7 5800X3DRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950X2K4K6K8K10KSE +/- 18.45, N = 3SE +/- 35.60, N = 3SE +/- 38.67, N = 3SE +/- 44.32, N = 3SE +/- 9.33, N = 3SE +/- 28.12, N = 3SE +/- 24.66, N = 3SE +/- 30.44, N = 35795.46918.77124.77282.07444.77629.37864.811189.2MIN: 4366.23 / MAX: 5832.17MIN: 5248.75 / MAX: 6987.6MIN: 5335.37 / MAX: 7201.17MIN: 5400.73 / MAX: 7370.2MIN: 5592.56 / MAX: 7455.91MIN: 5687.47 / MAX: 7670.83MIN: 5963.11 / MAX: 7906.57MIN: 8671.38 / MAX: 11226.58
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Akka Unbalanced Cobwebbed TreeRyzen 7 7700XCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 7 5800X3DRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950X2K4K6K8K10KMin: 5774.31 / Avg: 5795.4 / Max: 5832.17Min: 6868.7 / Avg: 6918.69 / Max: 6987.6Min: 7076.57 / Avg: 7124.66 / Max: 7201.17Min: 7230.15 / Avg: 7282 / Max: 7370.2Min: 7426.2 / Avg: 7444.72 / Max: 7455.91Min: 7575.68 / Avg: 7629.3 / Max: 7670.83Min: 7821.21 / Avg: 7864.82 / Max: 7906.57Min: 11128.86 / Avg: 11189.17 / Max: 11226.58

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18Core i9 13900KRyzen 7 5800X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950X3691215SE +/- 0.04, N = 15SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 35.465.795.806.576.726.877.2710.51MIN: 5.16 / MAX: 9.86MIN: 5.52 / MAX: 9.01MIN: 5.53 / MAX: 6.67MIN: 6.45 / MAX: 7.39MIN: 6.59 / MAX: 11.99MIN: 6.74 / MAX: 7.74MIN: 7.13 / MAX: 8.04MIN: 10.29 / MAX: 11.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18Core i9 13900KRyzen 7 5800X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950X3691215Min: 5.23 / Avg: 5.46 / Max: 5.82Min: 5.75 / Avg: 5.79 / Max: 5.84Min: 5.7 / Avg: 5.77 / Max: 5.9Min: 6.55 / Avg: 6.57 / Max: 6.58Min: 6.7 / Avg: 6.72 / Max: 6.74Min: 6.83 / Avg: 6.87 / Max: 6.9Min: 7.22 / Avg: 7.27 / Max: 7.32Min: 10.47 / Avg: 10.51 / Max: 10.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression SpeedRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D9001800270036004500SE +/- 8.42, N = 3SE +/- 7.49, N = 3SE +/- 12.87, N = 3SE +/- 21.68, N = 3SE +/- 3.84, N = 3SE +/- 5.54, N = 3SE +/- 8.52, N = 3SE +/- 2.27, N = 34137.34055.14032.23746.73574.62958.62808.32160.7-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression SpeedRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D7001400210028003500Min: 4120.5 / Avg: 4137.3 / Max: 4146.8Min: 4040.8 / Avg: 4055.1 / Max: 4066.1Min: 4018.5 / Avg: 4032.17 / Max: 4057.9Min: 3716.1 / Avg: 3746.7 / Max: 3788.6Min: 3566.9 / Avg: 3574.57 / Max: 3578.8Min: 2952 / Avg: 2958.6 / Max: 2969.6Min: 2794.3 / Avg: 2808.27 / Max: 2823.7Min: 2157.1 / Avg: 2160.7 / Max: 2164.91. (CC) gcc options: -O3 -pthread -lz -llzma

Timed MrBayes Analysis

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K306090120150SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.83, N = 5SE +/- 0.23, N = 3SE +/- 0.90, N = 364.5365.7966.1470.3671.0385.3093.72122.66-msse4a -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-msse4a -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-msse4a -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-msse4a -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-msse4a -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-msse4a-msse4a1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K20406080100Min: 64.42 / Avg: 64.53 / Max: 64.75Min: 65.51 / Avg: 65.79 / Max: 65.99Min: 65.95 / Avg: 66.14 / Max: 66.26Min: 70.06 / Avg: 70.35 / Max: 70.75Min: 70.9 / Avg: 71.03 / Max: 71.15Min: 83.96 / Avg: 85.3 / Max: 88.46Min: 93.35 / Avg: 93.72 / Max: 94.15Min: 120.86 / Avg: 122.66 / Max: 123.721. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X60120180240300SE +/- 5.02, N = 15SE +/- 1.72, N = 15SE +/- 4.98, N = 15SE +/- 0.94, N = 10SE +/- 2.11, N = 15SE +/- 0.84, N = 9SE +/- 1.77, N = 9SE +/- 0.95, N = 15273.46254.21252.67241.18231.37221.43216.38144.001. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X50100150200250Min: 235.44 / Avg: 273.46 / Max: 286.52Min: 244.02 / Avg: 254.21 / Max: 266.7Min: 217.8 / Avg: 252.67 / Max: 265.51Min: 236.3 / Avg: 241.18 / Max: 245.04Min: 219.55 / Avg: 231.37 / Max: 243.84Min: 217.62 / Avg: 221.43 / Max: 224.68Min: 206.27 / Avg: 216.38 / Max: 222.2Min: 138 / Avg: 144 / Max: 149.821. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D20406080100SE +/- 0.57, N = 3SE +/- 0.47, N = 5SE +/- 0.85, N = 15SE +/- 0.64, N = 3SE +/- 0.41, N = 15SE +/- 0.51, N = 3SE +/- 0.30, N = 3SE +/- 0.40, N = 343.4646.7447.1947.7749.4158.7061.1282.22
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D1632486480Min: 42.64 / Avg: 43.46 / Max: 44.57Min: 45.7 / Avg: 46.74 / Max: 48.33Min: 40.65 / Avg: 47.19 / Max: 50.72Min: 46.67 / Avg: 47.77 / Max: 48.89Min: 46.88 / Avg: 49.41 / Max: 52.37Min: 57.9 / Avg: 58.7 / Max: 59.66Min: 60.66 / Avg: 61.12 / Max: 61.68Min: 81.45 / Avg: 82.22 / Max: 82.82

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D306090120150SE +/- 0.88, N = 5SE +/- 3.04, N = 5SE +/- 3.50, N = 5SE +/- 0.51, N = 5SE +/- 2.95, N = 4SE +/- 0.20, N = 4SE +/- 0.15, N = 4SE +/- 0.06, N = 3143.0139.5138.5127.7121.5109.579.975.6-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D306090120150Min: 141.8 / Avg: 143.04 / Max: 146.5Min: 127.4 / Avg: 139.54 / Max: 143.2Min: 129.7 / Avg: 138.52 / Max: 145.2Min: 126.4 / Avg: 127.72 / Max: 129.4Min: 112.8 / Avg: 121.5 / Max: 125.9Min: 108.9 / Avg: 109.5 / Max: 109.8Min: 79.5 / Avg: 79.9 / Max: 80.2Min: 75.5 / Avg: 75.6 / Max: 75.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 15SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 36.26.15.95.65.44.43.63.3
OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810Min: 6.1 / Avg: 6.17 / Max: 6.3Min: 6 / Avg: 6.1 / Max: 6.2Min: 5.5 / Avg: 5.93 / Max: 6.1Min: 5.5 / Avg: 5.6 / Max: 5.7Min: 5.3 / Avg: 5.4 / Max: 5.5Min: 4.3 / Avg: 4.37 / Max: 4.4Min: 3.5 / Avg: 3.57 / Max: 3.6Min: 3.3 / Avg: 3.3 / Max: 3.3

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3691215SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 15SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 39.829.749.589.488.978.075.545.231. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3691215Min: 9.76 / Avg: 9.82 / Max: 9.87Min: 9.62 / Avg: 9.74 / Max: 9.81Min: 9.54 / Avg: 9.58 / Max: 9.62Min: 9.42 / Avg: 9.48 / Max: 9.52Min: 8.75 / Avg: 8.97 / Max: 10.09Min: 8.06 / Avg: 8.07 / Max: 8.08Min: 5.51 / Avg: 5.54 / Max: 5.57Min: 5.18 / Avg: 5.23 / Max: 5.261. (CXX) g++ options: -O3

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X0.4120.8241.2361.6482.06SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.012, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 30.9761.0661.0791.0931.0951.4871.6931.831
OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X246810Min: 0.97 / Avg: 0.98 / Max: 0.98Min: 1.06 / Avg: 1.07 / Max: 1.07Min: 1.06 / Avg: 1.08 / Max: 1.09Min: 1.09 / Avg: 1.09 / Max: 1.1Min: 1.09 / Avg: 1.1 / Max: 1.1Min: 1.49 / Avg: 1.49 / Max: 1.49Min: 1.69 / Avg: 1.69 / Max: 1.7Min: 1.83 / Avg: 1.83 / Max: 1.84

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsRyzen 9 7950XRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D246810SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 6SE +/- 0.02, N = 38.538.418.398.187.506.944.824.551. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsRyzen 9 7950XRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3691215Min: 8.43 / Avg: 8.53 / Max: 8.7Min: 8.29 / Avg: 8.41 / Max: 8.56Min: 8.37 / Avg: 8.39 / Max: 8.4Min: 8.16 / Avg: 8.18 / Max: 8.19Min: 7.49 / Avg: 7.5 / Max: 7.52Min: 6.93 / Avg: 6.94 / Max: 6.95Min: 4.74 / Avg: 4.82 / Max: 5.05Min: 4.52 / Avg: 4.55 / Max: 4.571. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3691215SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 310.2910.0610.049.829.257.935.755.491. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3691215Min: 10.17 / Avg: 10.29 / Max: 10.37Min: 9.94 / Avg: 10.06 / Max: 10.12Min: 9.86 / Avg: 10.04 / Max: 10.17Min: 9.78 / Avg: 9.82 / Max: 9.84Min: 9.21 / Avg: 9.25 / Max: 9.28Min: 7.93 / Avg: 7.93 / Max: 7.94Min: 5.71 / Avg: 5.75 / Max: 5.79Min: 5.48 / Avg: 5.49 / Max: 5.51. (CXX) g++ options: -O3

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pRyzen 7 5800X3DCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X70140210280350SE +/- 5.19, N = 15SE +/- 0.89, N = 10SE +/- 6.06, N = 15SE +/- 1.78, N = 15SE +/- 2.83, N = 15SE +/- 1.27, N = 10SE +/- 3.12, N = 15SE +/- 0.40, N = 8304.65292.27289.16261.39253.89241.93232.12163.151. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pRyzen 7 5800X3DCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X50100150200250Min: 261.53 / Avg: 304.65 / Max: 322.6Min: 288.91 / Avg: 292.27 / Max: 298.59Min: 267.77 / Avg: 289.16 / Max: 320.51Min: 248.49 / Avg: 261.39 / Max: 271.13Min: 231.61 / Avg: 253.89 / Max: 266.91Min: 233.14 / Avg: 241.93 / Max: 246.67Min: 219.01 / Avg: 232.12 / Max: 255.48Min: 161.77 / Avg: 163.15 / Max: 164.511. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 5800X3D20406080100SE +/- 0.09, N = 6SE +/- 0.15, N = 6SE +/- 0.11, N = 6SE +/- 0.09, N = 6SE +/- 0.05, N = 5SE +/- 0.03, N = 5SE +/- 0.11, N = 5SE +/- 0.04, N = 489.0279.5172.3571.7964.9064.2263.1947.701. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 5800X3D20406080100Min: 88.73 / Avg: 89.02 / Max: 89.26Min: 79.25 / Avg: 79.51 / Max: 80.12Min: 71.84 / Avg: 72.35 / Max: 72.59Min: 71.44 / Avg: 71.79 / Max: 72.04Min: 64.79 / Avg: 64.9 / Max: 65.05Min: 64.14 / Avg: 64.22 / Max: 64.33Min: 62.89 / Avg: 63.19 / Max: 63.52Min: 47.59 / Avg: 47.7 / Max: 47.751. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 5800X3D20406080100SE +/- 0.12, N = 6SE +/- 0.06, N = 6SE +/- 0.11, N = 6SE +/- 0.06, N = 6SE +/- 0.05, N = 5SE +/- 0.09, N = 5SE +/- 0.09, N = 5SE +/- 0.05, N = 492.1982.1875.2274.4266.9966.7765.4849.471. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 5800X3D20406080100Min: 91.68 / Avg: 92.19 / Max: 92.54Min: 81.96 / Avg: 82.18 / Max: 82.34Min: 74.86 / Avg: 75.22 / Max: 75.61Min: 74.26 / Avg: 74.42 / Max: 74.7Min: 66.82 / Avg: 66.99 / Max: 67.11Min: 66.43 / Avg: 66.77 / Max: 66.91Min: 65.21 / Avg: 65.48 / Max: 65.72Min: 49.33 / Avg: 49.47 / Max: 49.531. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D7001400210028003500SE +/- 10.55, N = 10SE +/- 9.21, N = 9SE +/- 6.26, N = 9SE +/- 15.77, N = 20SE +/- 7.49, N = 9SE +/- 7.68, N = 9SE +/- 7.19, N = 8SE +/- 19.93, N = 1416342167220222482293235628283030
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D5001000150020002500Min: 1575 / Avg: 1633.9 / Max: 1701Min: 2131 / Avg: 2166.89 / Max: 2214Min: 2174 / Avg: 2201.78 / Max: 2230Min: 2166 / Avg: 2247.85 / Max: 2419Min: 2256 / Avg: 2293.44 / Max: 2321Min: 2318 / Avg: 2355.89 / Max: 2388Min: 2804 / Avg: 2828.38 / Max: 2857Min: 2961 / Avg: 3030.29 / Max: 3222

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D70140210280350SE +/- 0.22, N = 11SE +/- 0.29, N = 11SE +/- 0.35, N = 11SE +/- 0.22, N = 10SE +/- 0.16, N = 10SE +/- 0.16, N = 10SE +/- 0.37, N = 10SE +/- 0.14, N = 9318.75282.10281.97266.50238.42231.07220.27171.951. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D60120180240300Min: 317.47 / Avg: 318.75 / Max: 319.78Min: 280.86 / Avg: 282.1 / Max: 284.12Min: 279.95 / Avg: 281.97 / Max: 284.34Min: 265.03 / Avg: 266.5 / Max: 267.41Min: 237.64 / Avg: 238.42 / Max: 239.22Min: 230.3 / Avg: 231.07 / Max: 231.79Min: 218.18 / Avg: 220.27 / Max: 221.83Min: 171.31 / Avg: 171.95 / Max: 172.761. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7950XRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.26, N = 7SE +/- 0.29, N = 7SE +/- 1.41, N = 15SE +/- 1.32, N = 15SE +/- 1.15, N = 15SE +/- 0.45, N = 6SE +/- 0.90, N = 15SE +/- 0.41, N = 5120.38110.19105.65104.47104.39102.9089.0665.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7950XRyzen 7 5800X3DRyzen 9 5950X20406080100Min: 119.42 / Avg: 120.38 / Max: 121.34Min: 109.5 / Avg: 110.19 / Max: 111.61Min: 99.49 / Avg: 105.65 / Max: 112.22Min: 97.75 / Avg: 104.47 / Max: 110.52Min: 95.83 / Avg: 104.39 / Max: 108.32Min: 101.11 / Avg: 102.9 / Max: 104.19Min: 83.29 / Avg: 89.06 / Max: 92.6Min: 63.81 / Avg: 65.17 / Max: 66.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -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 0.14Test: ALS Movie LensRyzen 7 7700XRyzen 7 5800X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X2K4K6K8K10KSE +/- 51.87, N = 3SE +/- 39.34, N = 3SE +/- 19.36, N = 3SE +/- 88.59, N = 3SE +/- 24.63, N = 3SE +/- 61.73, N = 3SE +/- 40.26, N = 3SE +/- 69.78, N = 35254.47206.17211.67465.97531.37753.68138.79690.6MIN: 5185.58 / MAX: 5886.38MIN: 7129.39 / MAX: 7874.76MIN: 7173.07 / MAX: 8078.32MIN: 7341.05 / MAX: 8523.11MIN: 7482.09 / MAX: 8256.82MIN: 7639.03 / MAX: 8533.02MIN: 8080.45 / MAX: 8962.17MIN: 9552.49 / MAX: 10637.03
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: ALS Movie LensRyzen 7 7700XRyzen 7 5800X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X2K4K6K8K10KMin: 5185.58 / Avg: 5254.37 / Max: 5356.01Min: 7129.39 / Avg: 7206.05 / Max: 7259.73Min: 7173.07 / Avg: 7211.55 / Max: 7234.57Min: 7341.05 / Avg: 7465.9 / Max: 7637.2Min: 7482.09 / Avg: 7531.34 / Max: 7556.44Min: 7639.03 / Avg: 7753.62 / Max: 7850.73Min: 8080.45 / Avg: 8138.67 / Max: 8215.96Min: 9552.49 / Avg: 9690.61 / Max: 9776.97

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D400K800K1200K1600K2000KSE +/- 16916.01, N = 5SE +/- 15310.77, N = 4SE +/- 11742.84, N = 4SE +/- 12533.33, N = 4SE +/- 14330.85, N = 3SE +/- 10824.54, N = 15SE +/- 4891.90, N = 3SE +/- 10096.19, N = 3163985112630701235690121957411571091155612943774891445
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D300K600K900K1200K1500KMin: 1572706 / Avg: 1639851 / Max: 1663605Min: 1230910 / Avg: 1263070 / Max: 1303195Min: 1206191 / Avg: 1235689.75 / Max: 1260275Min: 1182105 / Avg: 1219574.25 / Max: 1234995Min: 1133391 / Avg: 1157109 / Max: 1182904Min: 1095527 / Avg: 1155612.13 / Max: 1260933Min: 934146 / Avg: 943774.33 / Max: 950093Min: 880277 / Avg: 891445 / Max: 911598

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetRyzen 7 5800X3DRyzen 7 7700XCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950X3691215SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 15SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 37.157.187.918.548.618.779.0613.15MIN: 6.96 / MAX: 10.03MIN: 7 / MAX: 7.96MIN: 6.32 / MAX: 12.55MIN: 8.35 / MAX: 52.67MIN: 8.41 / MAX: 9.21MIN: 8.69 / MAX: 10.08MIN: 8.94 / MAX: 9.49MIN: 12.8 / MAX: 13.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetRyzen 7 5800X3DRyzen 7 7700XCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950X48121620Min: 7.06 / Avg: 7.15 / Max: 7.31Min: 7.13 / Avg: 7.18 / Max: 7.26Min: 6.41 / Avg: 7.91 / Max: 8.74Min: 8.43 / Avg: 8.54 / Max: 8.7Min: 8.47 / Avg: 8.61 / Max: 8.77Min: 8.76 / Avg: 8.77 / Max: 8.78Min: 9.02 / Avg: 9.06 / Max: 9.13Min: 13.09 / Avg: 13.15 / Max: 13.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Core i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D50100150200250SE +/- 0.04, N = 5SE +/- 1.93, N = 4SE +/- 0.07, N = 4SE +/- 0.19, N = 4SE +/- 0.65, N = 4SE +/- 0.14, N = 4SE +/- 0.77, N = 4SE +/- 0.04, N = 4123.20176.57177.93179.06180.70189.31213.05225.97MIN: 122.51 / MAX: 124.34MIN: 174.44 / MAX: 182.44MIN: 177.62 / MAX: 178.48MIN: 178.58 / MAX: 179.74MIN: 178.49 / MAX: 185.5MIN: 188.81 / MAX: 190.65MIN: 211.46 / MAX: 218.4MIN: 225.75 / MAX: 228.641. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Core i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D4080120160200Min: 123.08 / Avg: 123.2 / Max: 123.3Min: 174.62 / Avg: 176.57 / Max: 182.35Min: 177.81 / Avg: 177.93 / Max: 178.13Min: 178.74 / Avg: 179.06 / Max: 179.6Min: 178.77 / Avg: 180.7 / Max: 181.58Min: 189.08 / Avg: 189.31 / Max: 189.62Min: 211.62 / Avg: 213.05 / Max: 214.58Min: 225.86 / Avg: 225.97 / Max: 226.081. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7950XRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.27, N = 7SE +/- 0.83, N = 7SE +/- 1.32, N = 15SE +/- 1.35, N = 15SE +/- 1.34, N = 15SE +/- 0.32, N = 6SE +/- 0.72, N = 15SE +/- 0.19, N = 5126.14112.93109.83107.57106.59105.5897.1768.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7950XRyzen 7 5800X3DRyzen 9 5950X20406080100Min: 125.04 / Avg: 126.14 / Max: 126.81Min: 108.2 / Avg: 112.93 / Max: 114.55Min: 103.52 / Avg: 109.83 / Max: 115.62Min: 100.32 / Avg: 107.57 / Max: 112.08Min: 100.35 / Avg: 106.59 / Max: 112.99Min: 104.85 / Avg: 105.58 / Max: 106.85Min: 89.87 / Avg: 97.17 / Max: 99.37Min: 68.35 / Avg: 68.99 / Max: 69.441. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyRyzen 7 5800X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 9 5950X510152025SE +/- 0.26, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.93, N = 15SE +/- 0.06, N = 312.4513.1014.0314.1214.2914.4314.5622.70MIN: 11.5 / MAX: 17.65MIN: 12.83 / MAX: 14.55MIN: 13.82 / MAX: 14.77MIN: 13.84 / MAX: 14.76MIN: 14.13 / MAX: 14.8MIN: 14.2 / MAX: 21.29MIN: 10.97 / MAX: 1397.59MIN: 21.12 / MAX: 29.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyRyzen 7 5800X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 9 5950X510152025Min: 12.1 / Avg: 12.45 / Max: 12.97Min: 13.01 / Avg: 13.1 / Max: 13.26Min: 13.97 / Avg: 14.03 / Max: 14.07Min: 13.96 / Avg: 14.12 / Max: 14.41Min: 14.26 / Avg: 14.29 / Max: 14.31Min: 14.34 / Avg: 14.43 / Max: 14.52Min: 11.11 / Avg: 14.56 / Max: 22.69Min: 22.59 / Avg: 22.7 / Max: 22.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read Random Write RandomRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D700K1400K2100K2800K3500KSE +/- 6732.06, N = 3SE +/- 10376.60, N = 3SE +/- 14672.98, N = 3SE +/- 8612.20, N = 3SE +/- 3408.91, N = 3SE +/- 840.10, N = 3SE +/- 6290.50, N = 3SE +/- 1659.74, N = 3342622732968633035216279519326842712588496251040318795731. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read Random Write RandomRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D600K1200K1800K2400K3000KMin: 3412892 / Avg: 3426226.67 / Max: 3434507Min: 3281861 / Avg: 3296863.33 / Max: 3316783Min: 3014850 / Avg: 3035216.33 / Max: 3063697Min: 2778505 / Avg: 2795193.33 / Max: 2807230Min: 2678701 / Avg: 2684271.33 / Max: 2690461Min: 2586850 / Avg: 2588495.67 / Max: 2589612Min: 2498377 / Avg: 2510403.33 / Max: 2519616Min: 1877171 / Avg: 1879572.67 / Max: 18827581. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D48121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 314.0813.2312.5412.3911.5610.139.957.731. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D48121620Min: 14.03 / Avg: 14.08 / Max: 14.13Min: 13.21 / Avg: 13.23 / Max: 13.27Min: 12.49 / Avg: 12.54 / Max: 12.6Min: 12.28 / Avg: 12.39 / Max: 12.53Min: 11.52 / Avg: 11.56 / Max: 11.59Min: 10.11 / Avg: 10.13 / Max: 10.15Min: 9.89 / Avg: 9.95 / Max: 10.01Min: 7.69 / Avg: 7.73 / Max: 7.761. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetCore i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D6001200180024003000SE +/- 1.41, N = 3SE +/- 1.67, N = 3SE +/- 0.10, N = 3SE +/- 4.05, N = 3SE +/- 1.23, N = 3SE +/- 1.14, N = 3SE +/- 0.47, N = 3SE +/- 2.70, N = 31434.841907.692012.862038.092073.722206.492378.962593.47MIN: 1379.25 / MAX: 1556.79MIN: 1861.57 / MAX: 1981.86MIN: 1972.33 / MAX: 2053.87MIN: 1995.44 / MAX: 2119.35MIN: 2039.53 / MAX: 2114.51MIN: 2167.83 / MAX: 2241.88MIN: 2319.36 / MAX: 2464.77MIN: 2525.74 / MAX: 2660.461. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetCore i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D5001000150020002500Min: 1432.08 / Avg: 1434.84 / Max: 1436.7Min: 1904.36 / Avg: 1907.69 / Max: 1909.53Min: 2012.67 / Avg: 2012.86 / Max: 2012.97Min: 2033.96 / Avg: 2038.09 / Max: 2046.2Min: 2072.09 / Avg: 2073.72 / Max: 2076.13Min: 2204.4 / Avg: 2206.49 / Max: 2208.33Min: 2378.29 / Avg: 2378.96 / Max: 2379.87Min: 2588.61 / Avg: 2593.47 / Max: 2597.941. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X60120180240300SE +/- 1.05, N = 10SE +/- 4.94, N = 15SE +/- 4.03, N = 15SE +/- 0.62, N = 10SE +/- 1.87, N = 15SE +/- 0.84, N = 9SE +/- 2.21, N = 15SE +/- 1.07, N = 15256.61248.58231.47230.61217.46214.20202.69141.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950X50100150200250Min: 252.26 / Avg: 256.61 / Max: 261.42Min: 216.58 / Avg: 248.58 / Max: 268.48Min: 203.83 / Avg: 231.47 / Max: 245.29Min: 228.64 / Avg: 230.61 / Max: 234.01Min: 210.56 / Avg: 217.46 / Max: 229.15Min: 211.49 / Avg: 214.2 / Max: 218.97Min: 194.71 / Avg: 202.69 / Max: 219.04Min: 134.47 / Avg: 141.99 / Max: 148.811. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X306090120150SE +/- 0.33, N = 7SE +/- 0.32, N = 7SE +/- 1.17, N = 15SE +/- 0.34, N = 6SE +/- 1.05, N = 15SE +/- 1.12, N = 15SE +/- 1.17, N = 15SE +/- 0.46, N = 5127.03113.49109.07106.82105.02104.8196.5570.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100Min: 125.51 / Avg: 127.03 / Max: 128.07Min: 112.15 / Avg: 113.49 / Max: 114.54Min: 103.88 / Avg: 109.07 / Max: 116.88Min: 105.98 / Avg: 106.82 / Max: 108.34Min: 101.36 / Avg: 105.02 / Max: 112.55Min: 100.8 / Avg: 104.81 / Max: 114.65Min: 89.85 / Avg: 96.55 / Max: 100.72Min: 69.42 / Avg: 70.33 / Max: 72.011. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D400800120016002000SE +/- 1.57, N = 3SE +/- 1.26, N = 3SE +/- 1.64, N = 3SE +/- 0.48, N = 3SE +/- 0.76, N = 3SE +/- 85.87, N = 12SE +/- 1.10, N = 3SE +/- 8.75, N = 31009.701060.561088.741108.041186.131349.901602.101822.87
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D30060090012001500Min: 1006.57 / Avg: 1009.7 / Max: 1011.31Min: 1058.85 / Avg: 1060.56 / Max: 1063.02Min: 1086.61 / Avg: 1088.74 / Max: 1091.96Min: 1107.45 / Avg: 1108.04 / Max: 1108.99Min: 1185.2 / Avg: 1186.13 / Max: 1187.64Min: 1120.04 / Avg: 1349.9 / Max: 2090.78Min: 1600.16 / Avg: 1602.1 / Max: 1603.98Min: 1805.79 / Avg: 1822.87 / Max: 1834.71

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Update RandomRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D200K400K600K800K1000KSE +/- 1700.63, N = 3SE +/- 4449.32, N = 3SE +/- 2190.80, N = 3SE +/- 2718.99, N = 3SE +/- 2771.98, N = 3SE +/- 287.16, N = 3SE +/- 2086.66, N = 3SE +/- 799.66, N = 39894729435168495378405018289658009117269615499031. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Update RandomRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D200K400K600K800K1000KMin: 986423 / Avg: 989471.67 / Max: 992302Min: 934992 / Avg: 943515.67 / Max: 949991Min: 845593 / Avg: 849537 / Max: 853162Min: 836540 / Avg: 840500.67 / Max: 845708Min: 825880 / Avg: 828965.33 / Max: 834497Min: 800362 / Avg: 800910.67 / Max: 801332Min: 723077 / Avg: 726961.33 / Max: 730225Min: 548323 / Avg: 549902.67 / Max: 5509091. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 5950X246810SE +/- 0.03, N = 15SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 34.154.324.394.464.714.724.767.44MIN: 3.86 / MAX: 6.43MIN: 4.1 / MAX: 5.12MIN: 4.29 / MAX: 7.46MIN: 4.33 / MAX: 5.02MIN: 4.62 / MAX: 5.43MIN: 4.64 / MAX: 5.14MIN: 4.49 / MAX: 5.41MIN: 7.03 / MAX: 8.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 5950X3691215Min: 3.93 / Avg: 4.15 / Max: 4.35Min: 4.16 / Avg: 4.32 / Max: 4.61Min: 4.38 / Avg: 4.39 / Max: 4.4Min: 4.44 / Avg: 4.46 / Max: 4.48Min: 4.69 / Avg: 4.71 / Max: 4.72Min: 4.71 / Avg: 4.72 / Max: 4.74Min: 4.59 / Avg: 4.76 / Max: 4.89Min: 7.29 / Avg: 7.44 / Max: 7.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3 + Zstd Compression 19Ryzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D3691215SE +/- 0.010, N = 6SE +/- 0.008, N = 6SE +/- 0.028, N = 5SE +/- 0.081, N = 15SE +/- 0.040, N = 5SE +/- 0.024, N = 5SE +/- 0.017, N = 4SE +/- 0.003, N = 47.4628.3238.4318.8099.48210.42311.63713.294
OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3 + Zstd Compression 19Ryzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D48121620Min: 7.43 / Avg: 7.46 / Max: 7.49Min: 8.31 / Avg: 8.32 / Max: 8.36Min: 8.39 / Avg: 8.43 / Max: 8.53Min: 8.7 / Avg: 8.81 / Max: 9.94Min: 9.42 / Avg: 9.48 / Max: 9.64Min: 10.37 / Avg: 10.42 / Max: 10.51Min: 11.61 / Avg: 11.64 / Max: 11.68Min: 13.29 / Avg: 13.29 / Max: 13.3

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D612182430SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 325.1823.7523.3222.5520.9818.6217.3914.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D612182430Min: 25.02 / Avg: 25.18 / Max: 25.38Min: 23.59 / Avg: 23.75 / Max: 23.84Min: 23.22 / Avg: 23.32 / Max: 23.37Min: 22.42 / Avg: 22.55 / Max: 22.73Min: 20.76 / Avg: 20.98 / Max: 21.37Min: 18.42 / Avg: 18.62 / Max: 18.75Min: 17.32 / Avg: 17.39 / Max: 17.52Min: 14.21 / Avg: 14.23 / Max: 14.241. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080pRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X1632486480SE +/- 0.32, N = 5SE +/- 0.13, N = 4SE +/- 0.13, N = 5SE +/- 0.32, N = 4SE +/- 0.29, N = 4SE +/- 0.03, N = 4SE +/- 0.09, N = 4SE +/- 0.11, N = 373.4870.2667.9767.6962.1060.0144.7341.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080pRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X1428425670Min: 72.58 / Avg: 73.48 / Max: 74.52Min: 69.92 / Avg: 70.26 / Max: 70.49Min: 67.66 / Avg: 67.97 / Max: 68.37Min: 67.13 / Avg: 67.69 / Max: 68.49Min: 61.48 / Avg: 62.1 / Max: 62.89Min: 59.97 / Avg: 60.01 / Max: 60.09Min: 44.47 / Avg: 44.73 / Max: 44.91Min: 41.8 / Avg: 41.99 / Max: 42.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral MixingRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X0.090.180.270.360.45SE +/- 0.002, N = 4SE +/- 0.000, N = 4SE +/- 0.000, N = 4SE +/- 0.001, N = 4SE +/- 0.000, N = 4SE +/- 0.003, N = 4SE +/- 0.001, N = 3SE +/- 0.002, N = 30.2300.2370.2370.2380.2420.3290.3800.400
OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral MixingRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X12345Min: 0.23 / Avg: 0.23 / Max: 0.24Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.32 / Avg: 0.33 / Max: 0.34Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 0.4 / Avg: 0.4 / Max: 0.4

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.19, N = 6SE +/- 0.44, N = 6SE +/- 0.96, N = 15SE +/- 0.25, N = 6SE +/- 0.92, N = 15SE +/- 0.71, N = 15SE +/- 0.15, N = 5SE +/- 0.32, N = 5101.8294.3791.7890.5888.5885.1172.9458.751. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X20406080100Min: 100.97 / Avg: 101.82 / Max: 102.38Min: 92.89 / Avg: 94.37 / Max: 96.23Min: 80.43 / Avg: 91.78 / Max: 94.58Min: 89.76 / Avg: 90.58 / Max: 91.36Min: 82.36 / Avg: 88.58 / Max: 93.54Min: 80.05 / Avg: 85.11 / Max: 87.43Min: 72.42 / Avg: 72.94 / Max: 73.35Min: 57.83 / Avg: 58.75 / Max: 59.771. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D714212835SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 330.7128.3527.9827.7025.1423.9021.1317.721. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D714212835Min: 30.64 / Avg: 30.71 / Max: 30.77Min: 28.33 / Avg: 28.35 / Max: 28.37Min: 27.73 / Avg: 27.98 / Max: 28.27Min: 27.67 / Avg: 27.7 / Max: 27.72Min: 25.05 / Avg: 25.14 / Max: 25.27Min: 23.88 / Avg: 23.9 / Max: 23.93Min: 21.13 / Avg: 21.13 / Max: 21.14Min: 17.68 / Avg: 17.72 / Max: 17.761. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

PyBench

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D140280420560700SE +/- 0.93, N = 5SE +/- 3.59, N = 4SE +/- 3.15, N = 4SE +/- 4.96, N = 4SE +/- 8.24, N = 15SE +/- 4.77, N = 4SE +/- 3.09, N = 4SE +/- 2.56, N = 4388508508508563573632670
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D120240360480600Min: 387 / Avg: 388.4 / Max: 392Min: 498 / Avg: 507.5 / Max: 514Min: 503 / Avg: 507.75 / Max: 517Min: 493 / Avg: 507.75 / Max: 514Min: 498 / Avg: 562.8 / Max: 590Min: 560 / Avg: 572.75 / Max: 583Min: 627 / Avg: 631.75 / Max: 640Min: 665 / Avg: 670.25 / Max: 676

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 0.11Encoder Speed: 10, LosslessRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D1.20982.41963.62944.83926.049SE +/- 0.011, N = 9SE +/- 0.024, N = 9SE +/- 0.031, N = 15SE +/- 0.018, N = 9SE +/- 0.028, N = 9SE +/- 0.009, N = 9SE +/- 0.038, N = 8SE +/- 0.018, N = 73.1283.2433.3143.3543.5353.6984.4415.3771. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810Min: 3.1 / Avg: 3.13 / Max: 3.19Min: 3.16 / Avg: 3.24 / Max: 3.36Min: 3.16 / Avg: 3.31 / Max: 3.53Min: 3.28 / Avg: 3.35 / Max: 3.42Min: 3.45 / Avg: 3.54 / Max: 3.69Min: 3.66 / Avg: 3.7 / Max: 3.73Min: 4.35 / Avg: 4.44 / Max: 4.67Min: 5.31 / Avg: 5.38 / Max: 5.451. (CXX) g++ options: -O3 -fPIC -lm

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X91827364522.3623.4825.3625.5826.4628.8736.6338.381. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K0.23690.47380.71070.94761.1845SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.6150.7270.7460.7480.7590.8341.0101.053
OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K246810Min: 0.61 / Avg: 0.62 / Max: 0.62Min: 0.73 / Avg: 0.73 / Max: 0.73Min: 0.74 / Avg: 0.75 / Max: 0.75Min: 0.75 / Avg: 0.75 / Max: 0.75Min: 0.76 / Avg: 0.76 / Max: 0.76Min: 0.83 / Avg: 0.83 / Max: 0.84Min: 1.01 / Avg: 1.01 / Max: 1.01Min: 1.05 / Avg: 1.05 / Max: 1.05

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 i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950X4080120160200SE +/- 0.24, N = 3SE +/- 0.53, N = 3SE +/- 0.55, N = 3SE +/- 1.80, N = 3SE +/- 1.01, N = 3SE +/- 0.21, N = 3SE +/- 0.17, N = 3SE +/- 0.90, N = 393.0495.41135.59140.13145.03147.67154.70158.72
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950X306090120150Min: 92.68 / Avg: 93.04 / Max: 93.5Min: 94.35 / Avg: 95.41 / Max: 96Min: 134.51 / Avg: 135.59 / Max: 136.31Min: 137.91 / Avg: 140.13 / Max: 143.7Min: 143.02 / Avg: 145.03 / Max: 146.23Min: 147.27 / Avg: 147.67 / Max: 147.98Min: 154.36 / Avg: 154.7 / Max: 154.89Min: 157.64 / Avg: 158.72 / Max: 160.51

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 0.22, N = 7SE +/- 0.17, N = 7SE +/- 0.09, N = 7SE +/- 0.20, N = 7SE +/- 0.36, N = 6SE +/- 0.21, N = 6SE +/- 0.31, N = 6SE +/- 0.64, N = 6123.00112.98112.96103.1791.4289.4488.1572.291. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XCore i9 13900KRyzen 7 5800X3D20406080100Min: 122.34 / Avg: 123 / Max: 123.93Min: 112.41 / Avg: 112.98 / Max: 113.63Min: 112.51 / Avg: 112.96 / Max: 113.22Min: 102.48 / Avg: 103.17 / Max: 104.11Min: 90.27 / Avg: 91.42 / Max: 92.94Min: 88.83 / Avg: 89.44 / Max: 89.99Min: 86.94 / Avg: 88.15 / Max: 89.24Min: 70.03 / Avg: 72.29 / Max: 73.91. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D2004006008001000SE +/- 1.21, N = 13SE +/- 2.12, N = 13SE +/- 2.17, N = 13SE +/- 1.63, N = 13SE +/- 1.67, N = 13SE +/- 1.34, N = 12SE +/- 0.86, N = 12SE +/- 0.75, N = 11780.94761.85739.38738.81685.85631.09491.08461.591. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D140280420560700Min: 772.94 / Avg: 780.94 / Max: 788.46Min: 748.8 / Avg: 761.85 / Max: 776.02Min: 725.77 / Avg: 739.38 / Max: 751.19Min: 725.94 / Avg: 738.81 / Max: 746.81Min: 672.14 / Avg: 685.85 / Max: 694.31Min: 625.17 / Avg: 631.09 / Max: 637.98Min: 486.28 / Avg: 491.08 / Max: 498.01Min: 457.15 / Avg: 461.59 / Max: 465.221. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D48121620SE +/- 0.031, N = 5SE +/- 0.050, N = 5SE +/- 0.014, N = 4SE +/- 0.031, N = 4SE +/- 0.028, N = 4SE +/- 0.028, N = 4SE +/- 0.033, N = 4SE +/- 0.018, N = 315.66514.77514.34613.21912.96812.78711.3089.3171. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D48121620Min: 15.55 / Avg: 15.67 / Max: 15.72Min: 14.65 / Avg: 14.78 / Max: 14.89Min: 14.33 / Avg: 14.35 / Max: 14.39Min: 13.14 / Avg: 13.22 / Max: 13.28Min: 12.92 / Avg: 12.97 / Max: 13.04Min: 12.71 / Avg: 12.79 / Max: 12.84Min: 11.23 / Avg: 11.31 / Max: 11.39Min: 9.28 / Avg: 9.32 / Max: 9.351. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateCore i9 13900KRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 7700XRyzen 9 5950XRyzen 9 7900XRyzen 9 7950XRyzen 7 5800X3D400800120016002000SE +/- 0.58, N = 3SE +/- 6.00, N = 3SE +/- 1.15, N = 3SE +/- 1.20, N = 3SE +/- 9.53, N = 3SE +/- 1.00, N = 3SE +/- 1.15, N = 3SE +/- 1.15, N = 316771046103610331032102010049981. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateCore i9 13900KRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 7700XRyzen 9 5950XRyzen 9 7900XRyzen 9 7950XRyzen 7 5800X3D30060090012001500Min: 1676 / Avg: 1677 / Max: 1678Min: 1034 / Avg: 1046 / Max: 1052Min: 1034 / Avg: 1036 / Max: 1038Min: 1031 / Avg: 1032.67 / Max: 1035Min: 1015 / Avg: 1031.67 / Max: 1048Min: 1018 / Avg: 1020 / Max: 1021Min: 1002 / Avg: 1004 / Max: 1006Min: 996 / Avg: 998 / Max: 10001. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of StateRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K0.04010.08020.12030.16040.2005SE +/- 0.001, N = 4SE +/- 0.001, N = 4SE +/- 0.001, N = 4SE +/- 0.001, N = 4SE +/- 0.000, N = 4SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.1060.1210.1220.1220.1220.1460.1710.178
OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of StateRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K12345Min: 0.1 / Avg: 0.11 / Max: 0.11Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.14 / Avg: 0.15 / Max: 0.15Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.18 / Avg: 0.18 / Max: 0.18

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 1Ryzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D0.28130.56260.84391.12521.4065SE +/- 0.003, N = 4SE +/- 0.006, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.014, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 31.2501.1761.1661.1591.1001.0580.9490.752
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 1Ryzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810Min: 1.24 / Avg: 1.25 / Max: 1.26Min: 1.16 / Avg: 1.18 / Max: 1.19Min: 1.15 / Avg: 1.17 / Max: 1.18Min: 1.15 / Avg: 1.16 / Max: 1.17Min: 1.07 / Avg: 1.1 / Max: 1.11Min: 1.04 / Avg: 1.06 / Max: 1.07Min: 0.95 / Avg: 0.95 / Max: 0.96Min: 0.75 / Avg: 0.75 / Max: 0.75

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D1.34332.68664.02995.37326.7165SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.975.945.945.925.915.283.793.621. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D246810Min: 5.96 / Avg: 5.97 / Max: 5.99Min: 5.87 / Avg: 5.94 / Max: 6.09Min: 5.93 / Avg: 5.94 / Max: 5.95Min: 5.89 / Avg: 5.92 / Max: 5.99Min: 5.84 / Avg: 5.91 / Max: 5.99Min: 5.28 / Avg: 5.28 / Max: 5.28Min: 3.78 / Avg: 3.79 / Max: 3.8Min: 3.61 / Avg: 3.62 / Max: 3.621. (CXX) g++ options: -O3

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i9 13900KRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D1224364860SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 333.0834.9035.0535.5036.8338.3549.1154.381. RawTherapee, version 5.9, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i9 13900KRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D1122334455Min: 32.96 / Avg: 33.08 / Max: 33.18Min: 34.76 / Avg: 34.9 / Max: 35.05Min: 34.88 / Avg: 35.05 / Max: 35.13Min: 35.46 / Avg: 35.5 / Max: 35.58Min: 36.79 / Avg: 36.83 / Max: 36.87Min: 38.34 / Avg: 38.35 / Max: 38.38Min: 49.06 / Avg: 49.11 / Max: 49.17Min: 54.34 / Avg: 54.38 / Max: 54.41. RawTherapee, version 5.9, command line.

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D160320480640800SE +/- 0.93, N = 3SE +/- 0.55, N = 3SE +/- 0.85, N = 3SE +/- 1.71, N = 3SE +/- 4.12, N = 7SE +/- 2.11, N = 3SE +/- 2.51, N = 3SE +/- 0.86, N = 3719.2532.2531.3520.2516.5513.6473.7442.3
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D130260390520650Min: 717.4 / Avg: 719.23 / Max: 720.4Min: 531.2 / Avg: 532.17 / Max: 533.1Min: 530 / Avg: 531.33 / Max: 532.9Min: 518.2 / Avg: 520.2 / Max: 523.6Min: 492.5 / Avg: 516.5 / Max: 523.1Min: 509.4 / Avg: 513.57 / Max: 516.2Min: 470.3 / Avg: 473.7 / Max: 478.6Min: 440.6 / Avg: 442.27 / Max: 443.5

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Core i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D50100150200250SE +/- 0.28, N = 5SE +/- 0.30, N = 4SE +/- 0.18, N = 4SE +/- 0.19, N = 4SE +/- 0.17, N = 4SE +/- 1.10, N = 4SE +/- 0.16, N = 4SE +/- 0.56, N = 3153.44185.81186.71188.74197.54199.96237.33246.70MIN: 149.26 / MAX: 190.32MIN: 184.46 / MAX: 187MIN: 185.88 / MAX: 190.65MIN: 187.81 / MAX: 189.89MIN: 195.94 / MAX: 224.01MIN: 188.83 / MAX: 207.01MIN: 235.02 / MAX: 240.34MIN: 245.03 / MAX: 249.541. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Core i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D4080120160200Min: 152.78 / Avg: 153.44 / Max: 154.2Min: 185.12 / Avg: 185.8 / Max: 186.49Min: 186.44 / Avg: 186.71 / Max: 187.24Min: 188.34 / Avg: 188.74 / Max: 189.12Min: 197.32 / Avg: 197.54 / Max: 198.06Min: 197.13 / Avg: 199.96 / Max: 202.01Min: 236.89 / Avg: 237.33 / Max: 237.63Min: 246.13 / Avg: 246.7 / Max: 247.821. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

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 1.1Video Input: Chimera 1080p 10-bitRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 0.41, N = 5SE +/- 0.92, N = 5SE +/- 1.26, N = 5SE +/- 0.58, N = 5SE +/- 2.39, N = 5SE +/- 0.13, N = 3SE +/- 0.57, N = 4SE +/- 0.13, N = 4867.75866.52844.29832.68791.04698.98697.22542.531. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X150300450600750Min: 866.16 / Avg: 867.75 / Max: 868.39Min: 864.04 / Avg: 866.52 / Max: 868.39Min: 840.29 / Avg: 844.29 / Max: 847.12Min: 830.79 / Avg: 832.68 / Max: 833.8Min: 781.51 / Avg: 791.04 / Max: 793.86Min: 698.85 / Avg: 698.98 / Max: 699.23Min: 695.96 / Avg: 697.22 / Max: 698.39Min: 542.19 / Avg: 542.53 / Max: 542.781. (CC) gcc options: -pthread -lm

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X4080120160200SE +/- 1.98, N = 6SE +/- 0.22, N = 3SE +/- 0.10, N = 3SE +/- 3.04, N = 15SE +/- 0.64, N = 3SE +/- 1.87, N = 4SE +/- 1.55, N = 15SE +/- 1.68, N = 15195.19190.03180.19166.94161.90150.58139.34122.531. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X4080120160200Min: 188.54 / Avg: 195.19 / Max: 199.12Min: 189.72 / Avg: 190.03 / Max: 190.45Min: 179.99 / Avg: 180.19 / Max: 180.32Min: 150.48 / Avg: 166.94 / Max: 177.96Min: 160.94 / Avg: 161.9 / Max: 163.11Min: 145 / Avg: 150.58 / Max: 152.93Min: 127.52 / Avg: 139.34 / Max: 143.55Min: 114.01 / Avg: 122.53 / Max: 128.151. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

DeepSpeech

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X1224364860SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.44, N = 3SE +/- 0.49, N = 15SE +/- 0.41, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.33, N = 334.6437.2037.9938.7239.4144.3044.8154.93
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPURyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 5800X3DCore i9 13900KRyzen 9 5950X1122334455Min: 34.53 / Avg: 34.64 / Max: 34.73Min: 36.84 / Avg: 37.2 / Max: 37.5Min: 37.17 / Avg: 37.99 / Max: 38.69Min: 34.74 / Avg: 38.72 / Max: 41.43Min: 38.59 / Avg: 39.41 / Max: 39.87Min: 44.12 / Avg: 44.3 / Max: 44.54Min: 44.76 / Avg: 44.81 / Max: 44.87Min: 54.28 / Avg: 54.93 / Max: 55.38

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D2004006008001000SE +/- 4.24, N = 3SE +/- 2.13, N = 3SE +/- 2.10, N = 3SE +/- 12.20, N = 3SE +/- 3.93, N = 3SE +/- 1.05, N = 3SE +/- 4.57, N = 3SE +/- 1.34, N = 3982.72969.84967.95943.72900.69796.35635.45620.36
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D2004006008001000Min: 974.43 / Avg: 982.72 / Max: 988.44Min: 966.62 / Avg: 969.84 / Max: 973.86Min: 964.42 / Avg: 967.95 / Max: 971.69Min: 920.13 / Avg: 943.72 / Max: 960.94Min: 894.15 / Avg: 900.69 / Max: 907.74Min: 794.44 / Avg: 796.35 / Max: 798.05Min: 626.32 / Avg: 635.45 / Max: 640.43Min: 617.94 / Avg: 620.36 / Max: 622.56

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.014, N = 7SE +/- 0.005, N = 7SE +/- 0.028, N = 6SE +/- 0.017, N = 6SE +/- 0.028, N = 6SE +/- 0.017, N = 6SE +/- 0.013, N = 6SE +/- 0.028, N = 55.3945.6186.9307.1387.3277.3397.8358.504
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X3691215Min: 5.36 / Avg: 5.39 / Max: 5.46Min: 5.6 / Avg: 5.62 / Max: 5.64Min: 6.85 / Avg: 6.93 / Max: 7Min: 7.1 / Avg: 7.14 / Max: 7.2Min: 7.24 / Avg: 7.33 / Max: 7.42Min: 7.28 / Avg: 7.34 / Max: 7.39Min: 7.8 / Avg: 7.83 / Max: 7.89Min: 8.43 / Avg: 8.5 / Max: 8.58

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Sequential FillRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3DRyzen 9 7900XRyzen 9 7900X3D400K800K1200K1600K2000KSE +/- 7303.80, N = 6SE +/- 2383.09, N = 3SE +/- 9220.65, N = 3SE +/- 3517.03, N = 3SE +/- 2790.99, N = 3SE +/- 4891.69, N = 4SE +/- 2366.68, N = 3SE +/- 757.93, N = 3202911615037741486549144140914200561390938134977812878581. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Sequential FillRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3DRyzen 9 7900XRyzen 9 7900X3D400K800K1200K1600K2000KMin: 2003254 / Avg: 2029116 / Max: 2052630Min: 1499581 / Avg: 1503774 / Max: 1507833Min: 1468944 / Avg: 1486549.33 / Max: 1500106Min: 1435344 / Avg: 1441408.67 / Max: 1447527Min: 1414923 / Avg: 1420056 / Max: 1424522Min: 1383310 / Avg: 1390937.75 / Max: 1405287Min: 1346272 / Avg: 1349778 / Max: 1354285Min: 1286345 / Avg: 1287858 / Max: 12886951. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Core i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D1224364860SE +/- 0.19, N = 10SE +/- 0.20, N = 9SE +/- 0.33, N = 15SE +/- 0.16, N = 9SE +/- 0.36, N = 9SE +/- 0.42, N = 15SE +/- 0.18, N = 9SE +/- 0.06, N = 835.2443.2643.7643.8244.7146.3852.2155.28MIN: 34.74 / MAX: 37.51MIN: 41.44 / MAX: 44.06MIN: 40.54 / MAX: 45.28MIN: 42.86 / MAX: 45.47MIN: 42.18 / MAX: 45.98MIN: 41.15 / MAX: 48.43MIN: 51.27 / MAX: 53.67MIN: 54.74 / MAX: 55.741. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Core i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D1122334455Min: 34.99 / Avg: 35.24 / Max: 36.93Min: 42.48 / Avg: 43.26 / Max: 43.98Min: 40.76 / Avg: 43.76 / Max: 45.23Min: 43.06 / Avg: 43.82 / Max: 44.51Min: 42.61 / Avg: 44.71 / Max: 45.79Min: 41.26 / Avg: 46.38 / Max: 48.24Min: 51.58 / Avg: 52.2 / Max: 53.49Min: 54.85 / Avg: 55.28 / Max: 55.421. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

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 0.14Test: Savina Reactors.IORyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X10002000300040005000SE +/- 32.33, N = 3SE +/- 20.37, N = 3SE +/- 16.02, N = 3SE +/- 26.64, N = 3SE +/- 43.09, N = 3SE +/- 43.03, N = 3SE +/- 51.90, N = 3SE +/- 23.82, N = 32887.23280.63302.83513.73623.33670.13916.04519.2MIN: 2836.17 / MAX: 4740.57MIN: 3241.47 / MAX: 4910.3MIN: 3277.35 / MAX: 4789.73MIN: 3464 / MAX: 5062.42MIN: 3579.77 / MAX: 5158.3MIN: 3585.91 / MAX: 5158.85MIN: 3848.37 / MAX: 6267.97MIN: 4472.65 / MAX: 6501.64
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IORyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X8001600240032004000Min: 2836.17 / Avg: 2887.18 / Max: 2947.11Min: 3241.47 / Avg: 3280.63 / Max: 3309.94Min: 3277.35 / Avg: 3302.78 / Max: 3332.36Min: 3464 / Avg: 3513.71 / Max: 3555.15Min: 3579.77 / Avg: 3623.29 / Max: 3709.47Min: 3585.91 / Avg: 3670.07 / Max: 3727.73Min: 3848.37 / Avg: 3915.99 / Max: 4018.01Min: 4472.65 / Avg: 4519.16 / Max: 4551.36

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D90180270360450SE +/- 0.33, N = 3SE +/- 2.00, N = 3SE +/- 4.51, N = 3SE +/- 2.89, N = 3SE +/- 1.33, N = 3SE +/- 1.86, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 34363913893843683652912801. chrome 110.0.5481.96
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D80160240320400Min: 435 / Avg: 435.67 / Max: 436Min: 387 / Avg: 391 / Max: 393Min: 380 / Avg: 389 / Max: 394Min: 379 / Avg: 384 / Max: 389Min: 365 / Avg: 367.67 / Max: 369Min: 363 / Avg: 365.33 / Max: 369Min: 291 / Avg: 291.33 / Max: 292Min: 279 / Avg: 280 / Max: 2811. chrome 110.0.5481.96

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 325.9223.6221.2821.0020.3719.7317.3116.65
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X612182430Min: 25.84 / Avg: 25.92 / Max: 26.08Min: 23.48 / Avg: 23.62 / Max: 23.71Min: 21.18 / Avg: 21.28 / Max: 21.45Min: 20.65 / Avg: 21 / Max: 21.26Min: 20.26 / Avg: 20.37 / Max: 20.53Min: 19.54 / Avg: 19.73 / Max: 19.91Min: 17.2 / Avg: 17.31 / Max: 17.41Min: 16.31 / Avg: 16.65 / Max: 16.91

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 0.14Test: Scala DottyRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X140280420560700SE +/- 0.84, N = 3SE +/- 5.05, N = 3SE +/- 1.84, N = 3SE +/- 6.28, N = 15SE +/- 8.80, N = 14SE +/- 8.05, N = 15SE +/- 6.35, N = 5SE +/- 8.58, N = 3429.9430.5442.7444.8455.3501.7600.9668.1MIN: 348.6 / MAX: 747.62MIN: 346.27 / MAX: 839.98MIN: 368.13 / MAX: 703.85MIN: 328.23 / MAX: 732.37MIN: 348.12 / MAX: 714.59MIN: 372.13 / MAX: 809.77MIN: 494.12 / MAX: 1094.25MIN: 495.44 / MAX: 959.14
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Scala DottyRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DCore i9 13900KRyzen 9 7950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X120240360480600Min: 428.82 / Avg: 429.89 / Max: 431.55Min: 420.56 / Avg: 430.45 / Max: 437.19Min: 438.99 / Avg: 442.66 / Max: 444.86Min: 397.28 / Avg: 444.79 / Max: 478.55Min: 414.15 / Avg: 455.28 / Max: 509.44Min: 450.1 / Avg: 501.71 / Max: 535.49Min: 590.81 / Avg: 600.94 / Max: 625.54Min: 651.78 / Avg: 668.08 / Max: 680.86

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 6Ryzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 7 7700XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D246810SE +/- 0.041, N = 6SE +/- 0.046, N = 6SE +/- 0.048, N = 6SE +/- 0.023, N = 6SE +/- 0.044, N = 5SE +/- 0.035, N = 5SE +/- 0.040, N = 5SE +/- 0.007, N = 47.9087.5027.3357.1956.9496.8685.7635.114
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 6Ryzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 7 7700XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D3691215Min: 7.79 / Avg: 7.91 / Max: 8.02Min: 7.31 / Avg: 7.5 / Max: 7.64Min: 7.18 / Avg: 7.34 / Max: 7.46Min: 7.13 / Avg: 7.2 / Max: 7.28Min: 6.86 / Avg: 6.95 / Max: 7.1Min: 6.78 / Avg: 6.87 / Max: 6.98Min: 5.65 / Avg: 5.76 / Max: 5.85Min: 5.1 / Avg: 5.11 / Max: 5.13

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomCore i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 5950XRyzen 7 5800X3D0.43430.86861.30291.73722.1715SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.931.841.841.831.821.781.321.251. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomCore i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 5950XRyzen 7 5800X3D246810Min: 1.92 / Avg: 1.93 / Max: 1.93Min: 1.83 / Avg: 1.84 / Max: 1.86Min: 1.83 / Avg: 1.84 / Max: 1.84Min: 1.83 / Avg: 1.83 / Max: 1.84Min: 1.79 / Avg: 1.82 / Max: 1.86Min: 1.78 / Avg: 1.78 / Max: 1.78Min: 1.32 / Avg: 1.32 / Max: 1.32Min: 1.25 / Avg: 1.25 / Max: 1.251. (CXX) g++ options: -O3

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedRyzen 9 7900XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D4K8K12K16K20KSE +/- 129.87, N = 3SE +/- 94.41, N = 3SE +/- 129.68, N = 3SE +/- 134.02, N = 3SE +/- 216.01, N = 4SE +/- 157.46, N = 3SE +/- 6.47, N = 3SE +/- 89.88, N = 320016.219933.519453.319259.218877.213858.213605.512991.71. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedRyzen 9 7900XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3K6K9K12K15KMin: 19758.4 / Avg: 20016.2 / Max: 20172.6Min: 19746.6 / Avg: 19933.47 / Max: 20050.4Min: 19197.5 / Avg: 19453.3 / Max: 19618.3Min: 19117.7 / Avg: 19259.2 / Max: 19527.1Min: 18594.5 / Avg: 18877.23 / Max: 19521.1Min: 13655.7 / Avg: 13858.17 / Max: 14168.3Min: 13593.5 / Avg: 13605.47 / Max: 13615.7Min: 12821.3 / Avg: 12991.67 / Max: 13126.51. (CC) gcc options: -O3

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D2004006008001000SE +/- 6.87, N = 15SE +/- 3.86, N = 15SE +/- 4.48, N = 15SE +/- 3.52, N = 15SE +/- 3.28, N = 15SE +/- 3.14, N = 15SE +/- 2.17, N = 15SE +/- 2.55, N = 15823.43789.41786.83734.09725.88693.78548.92535.901. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D140280420560700Min: 728.33 / Avg: 823.43 / Max: 836.52Min: 737.59 / Avg: 789.41 / Max: 800.62Min: 725.37 / Avg: 786.83 / Max: 796.15Min: 690.58 / Avg: 734.09 / Max: 746.86Min: 684.13 / Avg: 725.88 / Max: 736.85Min: 651.68 / Avg: 693.78 / Max: 701.76Min: 519.93 / Avg: 548.92 / Max: 555.57Min: 500.9 / Avg: 535.9 / Max: 541.51. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedCore i9 13900KRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3D6001200180024003000SE +/- 1.07, N = 3SE +/- 2.71, N = 3SE +/- 9.12, N = 3SE +/- 4.90, N = 3SE +/- 8.67, N = 3SE +/- 7.70, N = 3SE +/- 14.85, N = 3SE +/- 23.56, N = 32595.22429.42398.82392.72374.12358.91881.91697.7-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedCore i9 13900KRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3D5001000150020002500Min: 2593.4 / Avg: 2595.23 / Max: 2597.1Min: 2424.8 / Avg: 2429.43 / Max: 2434.2Min: 2388 / Avg: 2398.77 / Max: 2416.9Min: 2385 / Avg: 2392.7 / Max: 2401.8Min: 2357.2 / Avg: 2374.13 / Max: 2385.8Min: 2343.6 / Avg: 2358.93 / Max: 2367.9Min: 1852.8 / Avg: 1881.9 / Max: 1901.6Min: 1663.6 / Avg: 1697.7 / Max: 1742.91. (CC) gcc options: -O3 -pthread -lz -llzma

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Core i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 5950XRyzen 7 5800X3D11002200330044005500SE +/- 41.48, N = 4SE +/- 52.25, N = 3SE +/- 34.51, N = 3SE +/- 38.01, N = 3SE +/- 33.62, N = 3SE +/- 32.35, N = 3SE +/- 26.94, N = 3SE +/- 24.79, N = 35310.64605.34602.74537.14436.24424.53650.33482.81. (CXX) g++ options: -O3 -march=native -rdynamic
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Core i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 5950XRyzen 7 5800X3D9001800270036004500Min: 5186.3 / Avg: 5310.55 / Max: 5358.2Min: 4516.5 / Avg: 4605.33 / Max: 4697.4Min: 4553.4 / Avg: 4602.73 / Max: 4669.2Min: 4461.1 / Avg: 4537.1 / Max: 4576.5Min: 4369.4 / Avg: 4436.23 / Max: 4476Min: 4360.4 / Avg: 4424.5 / Max: 4464.2Min: 3596.6 / Avg: 3650.33 / Max: 3680.7Min: 3434.6 / Avg: 3482.83 / Max: 3516.91. (CXX) g++ options: -O3 -march=native -rdynamic

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: unsharp-maskRyzen 7 7700XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.01, N = 5SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.06, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 410.1111.8612.2012.8313.0413.1814.4315.42
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: unsharp-maskRyzen 7 7700XCore i9 13900KRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620Min: 10.08 / Avg: 10.11 / Max: 10.16Min: 11.81 / Avg: 11.86 / Max: 11.98Min: 12.13 / Avg: 12.2 / Max: 12.24Min: 12.77 / Avg: 12.83 / Max: 12.88Min: 12.95 / Avg: 13.04 / Max: 13.14Min: 13.06 / Avg: 13.18 / Max: 13.31Min: 14.4 / Avg: 14.43 / Max: 14.52Min: 15.36 / Avg: 15.42 / Max: 15.5

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 1.84, N = 3SE +/- 31.40, N = 3SE +/- 4.77, N = 3SE +/- 18.74, N = 7SE +/- 13.89, N = 3SE +/- 13.01, N = 3SE +/- 8.03, N = 3SE +/- 10.92, N = 32473.02203.42063.72028.51969.51843.71823.01627.9
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000Min: 2469.5 / Avg: 2473.03 / Max: 2475.7Min: 2147.8 / Avg: 2203.37 / Max: 2256.5Min: 2056.9 / Avg: 2063.7 / Max: 2072.9Min: 1958.5 / Avg: 2028.53 / Max: 2102.7Min: 1941.8 / Avg: 1969.53 / Max: 1984.9Min: 1818.9 / Avg: 1843.73 / Max: 1862.9Min: 1807.3 / Avg: 1823 / Max: 1833.8Min: 1606.4 / Avg: 1627.87 / Max: 1642.1

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D612182430SE +/- 0.03, N = 7SE +/- 0.04, N = 6SE +/- 0.14, N = 6SE +/- 0.07, N = 7SE +/- 0.42, N = 15SE +/- 0.36, N = 15SE +/- 0.19, N = 6SE +/- 0.19, N = 615.3417.4317.5517.6418.5119.7121.8223.281. chrome 110.0.5481.96
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D510152025Min: 15.27 / Avg: 15.34 / Max: 15.43Min: 17.31 / Avg: 17.43 / Max: 17.57Min: 17.12 / Avg: 17.55 / Max: 17.96Min: 17.49 / Avg: 17.64 / Max: 17.94Min: 17.29 / Avg: 18.51 / Max: 21.83Min: 17.05 / Avg: 19.71 / Max: 21.02Min: 21.14 / Avg: 21.82 / Max: 22.5Min: 22.77 / Avg: 23.28 / Max: 24.111. chrome 110.0.5481.96

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D50M100M150M200M250MSE +/- 1991819.69, N = 9SE +/- 3033333.33, N = 3SE +/- 1418919.78, N = 3SE +/- 517472.49, N = 3SE +/- 470224.53, N = 3SE +/- 1964971.02, N = 3SE +/- 1631699.86, N = 6SE +/- 233333.33, N = 3239288889235966667235600000203066667198833333196633333168533333157733333-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D40M80M120M160M200MMin: 229800000 / Avg: 239288888.89 / Max: 247300000Min: 230600000 / Avg: 235966666.67 / Max: 241100000Min: 233800000 / Avg: 235600000 / Max: 238400000Min: 202500000 / Avg: 203066666.67 / Max: 204100000Min: 197900000 / Avg: 198833333.33 / Max: 199400000Min: 192800000 / Avg: 196633333.33 / Max: 199300000Min: 161300000 / Avg: 168533333.33 / Max: 171800000Min: 157500000 / Avg: 157733333.33 / Max: 1582000001. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XCore i9 13900KRyzen 7 5800X3D4K8K12K16K20KSE +/- 66.63, N = 3SE +/- 43.99, N = 6SE +/- 49.48, N = 15SE +/- 43.21, N = 13SE +/- 69.25, N = 3SE +/- 77.47, N = 3SE +/- 106.04, N = 3SE +/- 47.61, N = 319135.118679.018610.718595.518524.413212.313077.312626.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 9 5950XCore i9 13900KRyzen 7 5800X3D3K6K9K12K15KMin: 19002.4 / Avg: 19135.1 / Max: 19212.1Min: 18515.3 / Avg: 18679.02 / Max: 18788.3Min: 18219.9 / Avg: 18610.72 / Max: 18832.6Min: 18340.7 / Avg: 18595.5 / Max: 18835.1Min: 18385.9 / Avg: 18524.4 / Max: 18594.5Min: 13071.5 / Avg: 13212.3 / Max: 13338.7Min: 12868.6 / Avg: 13077.33 / Max: 13214.2Min: 12544.6 / Avg: 12625.97 / Max: 12709.51. (CC) gcc options: -O3

OpenEMS

OpenEMS is a free and open electromagnetic field solver using the FDTD method. This test profile runs OpenEMS and pyEMS benchmark demos. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMCells/s, More Is BetterOpenEMS 0.0.35-86Test: pyEMS CouplerCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D1530456075SE +/- 0.54, N = 3SE +/- 0.60, N = 3SE +/- 0.27, N = 3SE +/- 0.65, N = 4SE +/- 0.24, N = 3SE +/- 0.37, N = 3SE +/- 0.27, N = 3SE +/- 0.42, N = 369.4262.4062.3661.8660.5257.9646.5645.881. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat
OpenBenchmarking.orgMCells/s, More Is BetterOpenEMS 0.0.35-86Test: pyEMS CouplerCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D1326395265Min: 68.35 / Avg: 69.42 / Max: 70.07Min: 61.22 / Avg: 62.4 / Max: 63.19Min: 61.95 / Avg: 62.36 / Max: 62.88Min: 59.99 / Avg: 61.86 / Max: 62.92Min: 60.11 / Avg: 60.52 / Max: 60.94Min: 57.42 / Avg: 57.96 / Max: 58.67Min: 46.03 / Avg: 46.56 / Max: 46.85Min: 45.36 / Avg: 45.88 / Max: 46.711. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 5Ryzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 7 7700XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D1.13112.26223.39334.52445.6555SE +/- 0.014, N = 4SE +/- 0.009, N = 4SE +/- 0.022, N = 4SE +/- 0.004, N = 4SE +/- 0.010, N = 4SE +/- 0.030, N = 4SE +/- 0.013, N = 4SE +/- 0.005, N = 35.0274.7594.6574.6144.5724.3983.7693.330
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 5Ryzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 7 7700XCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D246810Min: 4.99 / Avg: 5.03 / Max: 5.05Min: 4.75 / Avg: 4.76 / Max: 4.78Min: 4.61 / Avg: 4.66 / Max: 4.72Min: 4.61 / Avg: 4.61 / Max: 4.62Min: 4.56 / Avg: 4.57 / Max: 4.6Min: 4.31 / Avg: 4.4 / Max: 4.44Min: 3.74 / Avg: 3.77 / Max: 3.8Min: 3.32 / Avg: 3.33 / Max: 3.34

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression SpeedCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3D5001000150020002500SE +/- 0.35, N = 3SE +/- 3.89, N = 3SE +/- 2.97, N = 3SE +/- 5.18, N = 3SE +/- 11.06, N = 3SE +/- 1.40, N = 3SE +/- 13.92, N = 3SE +/- 2.59, N = 32362.82203.82183.92177.12177.02164.11721.21570.1-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression SpeedCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 5950XRyzen 7 5800X3D400800120016002000Min: 2362.1 / Avg: 2362.8 / Max: 2363.2Min: 2196.7 / Avg: 2203.8 / Max: 2210.1Min: 2178.4 / Avg: 2183.9 / Max: 2188.6Min: 2166.8 / Avg: 2177.1 / Max: 2183.2Min: 2156.8 / Avg: 2177.03 / Max: 2194.9Min: 2162.4 / Avg: 2164.13 / Max: 2166.9Min: 1700.1 / Avg: 1721.23 / Max: 1747.5Min: 1566.7 / Avg: 1570.13 / Max: 1575.21. (CC) gcc options: -O3 -pthread -lz -llzma

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D4K8K12K16K20KSE +/- 98.34, N = 3SE +/- 30.70, N = 3SE +/- 104.34, N = 3SE +/- 83.57, N = 3SE +/- 39.07, N = 3SE +/- 79.61, N = 3SE +/- 33.16, N = 3SE +/- 13.38, N = 319158.318820.918627.718556.118531.113453.713299.012734.21. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3K6K9K12K15KMin: 18961.7 / Avg: 19158.33 / Max: 19260.7Min: 18765.8 / Avg: 18820.93 / Max: 18871.9Min: 18419.1 / Avg: 18627.73 / Max: 18735.6Min: 18431.1 / Avg: 18556.1 / Max: 18714.7Min: 18487.2 / Avg: 18531.07 / Max: 18609Min: 13355.7 / Avg: 13453.73 / Max: 13611.4Min: 13257.2 / Avg: 13299 / Max: 13364.5Min: 12707.6 / Avg: 12734.23 / Max: 12749.81. (CC) gcc options: -O3

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D20K40K60K80K100KSE +/- 235.00, N = 3SE +/- 182.45, N = 3SE +/- 297.12, N = 3SE +/- 540.84, N = 3SE +/- 1243.88, N = 3SE +/- 638.16, N = 3SE +/- 462.76, N = 3SE +/- 212.34, N = 31137511031159996099807952299359078329763031. chrome 110.0.5481.96
OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D20K40K60K80K100KMin: 113285 / Avg: 113751 / Max: 114037Min: 102798 / Avg: 103115.33 / Max: 103430Min: 99380 / Avg: 99960 / Max: 100362Min: 98835 / Avg: 99807 / Max: 100704Min: 93389 / Avg: 95229 / Max: 97599Min: 92314 / Avg: 93590 / Max: 94253Min: 77619 / Avg: 78328.67 / Max: 79198Min: 76066 / Avg: 76303.33 / Max: 767271. chrome 110.0.5481.96

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 57Core i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D200M400M600M800M1000MSE +/- 712959.40, N = 3SE +/- 8035434.72, N = 3SE +/- 1731887.22, N = 3SE +/- 4677492.21, N = 3SE +/- 1345696.85, N = 3SE +/- 4139743.69, N = 3SE +/- 722041.86, N = 3SE +/- 2526831.57, N = 38253733338026166678025300008003500007553800007372866675824833335539233331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 57Core i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D140M280M420M560M700MMin: 824080000 / Avg: 825373333.33 / Max: 826540000Min: 786560000 / Avg: 802616666.67 / Max: 811230000Min: 800660000 / Avg: 802530000 / Max: 805990000Min: 791030000 / Avg: 800350000 / Max: 805710000Min: 752960000 / Avg: 755380000 / Max: 757610000Min: 730280000 / Avg: 737286666.67 / Max: 744610000Min: 581080000 / Avg: 582483333.33 / Max: 583480000Min: 548870000 / Avg: 553923333.33 / Max: 5565000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedRyzen 9 7900XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D4K8K12K16K20KSE +/- 93.51, N = 3SE +/- 83.96, N = 3SE +/- 87.67, N = 3SE +/- 115.61, N = 3SE +/- 178.19, N = 4SE +/- 79.44, N = 3SE +/- 6.85, N = 3SE +/- 57.71, N = 317379.2217291.7017272.8717165.7216706.3912902.1512178.4611683.201. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedRyzen 9 7900XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7950XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3K6K9K12K15KMin: 17200.32 / Avg: 17379.22 / Max: 17515.91Min: 17166.09 / Avg: 17291.7 / Max: 17451.01Min: 17148.35 / Avg: 17272.87 / Max: 17442.03Min: 17048.93 / Avg: 17165.72 / Max: 17396.94Min: 16482.75 / Avg: 16706.39 / Max: 17238.67Min: 12748.83 / Avg: 12902.15 / Max: 13014.9Min: 12168.07 / Avg: 12178.46 / Max: 12191.38Min: 11612.8 / Avg: 11683.2 / Max: 11797.611. (CC) gcc options: -O3

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D6001200180024003000SE +/- 12.55, N = 3SE +/- 6.35, N = 3SE +/- 1.36, N = 3SE +/- 7.13, N = 3SE +/- 7.04, N = 3SE +/- 24.20, N = 3SE +/- 8.94, N = 3SE +/- 21.95, N = 32577.02421.52415.52411.82384.02376.61910.01732.6-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D400800120016002000Min: 2552 / Avg: 2577 / Max: 2591.5Min: 2411.7 / Avg: 2421.5 / Max: 2433.4Min: 2413.3 / Avg: 2415.53 / Max: 2418Min: 2404 / Avg: 2411.77 / Max: 2426Min: 2371.7 / Avg: 2384.03 / Max: 2396.1Min: 2342.6 / Avg: 2376.57 / Max: 2423.4Min: 1892.4 / Avg: 1909.97 / Max: 1921.6Min: 1689.2 / Avg: 1732.57 / Max: 1760.21. (CC) gcc options: -O3 -pthread -lz -llzma

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 0.14Test: Genetic Algorithm Using Jenetics + FuturesRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 2.07, N = 3SE +/- 11.67, N = 3SE +/- 8.03, N = 3SE +/- 4.86, N = 3SE +/- 3.69, N = 3SE +/- 11.31, N = 3SE +/- 3.81, N = 3SE +/- 14.35, N = 3821.3932.3957.61007.41101.51140.31163.61220.1MIN: 809.34 / MAX: 847.99MIN: 892.62 / MAX: 967.72MIN: 923.64 / MAX: 992.06MIN: 950.18 / MAX: 1106.93MIN: 1035.84 / MAX: 1121.33MIN: 1104.93 / MAX: 1172.73MIN: 1141.33 / MAX: 1189.92MIN: 1185.32 / MAX: 1272.37
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Genetic Algorithm Using Jenetics + FuturesRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000Min: 817.31 / Avg: 821.3 / Max: 824.27Min: 919.64 / Avg: 932.29 / Max: 955.59Min: 942.62 / Avg: 957.62 / Max: 970.1Min: 998.28 / Avg: 1007.45 / Max: 1014.81Min: 1095.18 / Avg: 1101.51 / Max: 1107.96Min: 1118.69 / Avg: 1140.27 / Max: 1156.92Min: 1156.19 / Avg: 1163.56 / Max: 1168.95Min: 1204.9 / Avg: 1220.15 / Max: 1248.83

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: resizeRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.016, N = 5SE +/- 0.074, N = 4SE +/- 0.080, N = 4SE +/- 0.042, N = 4SE +/- 0.129, N = 6SE +/- 0.064, N = 4SE +/- 0.007, N = 4SE +/- 0.090, N = 49.32412.22012.46312.66212.66312.70213.09013.834
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: resizeRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X48121620Min: 9.28 / Avg: 9.32 / Max: 9.36Min: 12.05 / Avg: 12.22 / Max: 12.35Min: 12.31 / Avg: 12.46 / Max: 12.67Min: 12.56 / Avg: 12.66 / Max: 12.76Min: 12.45 / Avg: 12.66 / Max: 13.25Min: 12.59 / Avg: 12.7 / Max: 12.83Min: 13.08 / Avg: 13.09 / Max: 13.11Min: 13.65 / Avg: 13.83 / Max: 14.06

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D60120180240300SE +/- 0.55, N = 3SE +/- 0.99, N = 3SE +/- 0.46, N = 3SE +/- 0.64, N = 3SE +/- 0.25, N = 3SE +/- 0.29, N = 3SE +/- 1.11, N = 3SE +/- 0.06, N = 3256.4251.2250.6215.7208.7205.1186.3173.1-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D50100150200250Min: 255.5 / Avg: 256.43 / Max: 257.4Min: 249.8 / Avg: 251.17 / Max: 253.1Min: 250 / Avg: 250.6 / Max: 251.5Min: 214.6 / Avg: 215.7 / Max: 216.8Min: 208.4 / Avg: 208.7 / Max: 209.2Min: 204.6 / Avg: 205.07 / Max: 205.6Min: 184.8 / Avg: 186.33 / Max: 188.5Min: 173 / Avg: 173.1 / Max: 173.21. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D50100150200250SE +/- 1.04, N = 4SE +/- 0.82, N = 5SE +/- 0.27, N = 5SE +/- 1.62, N = 5SE +/- 0.67, N = 5SE +/- 1.12, N = 4SE +/- 0.32, N = 4SE +/- 0.54, N = 3228.2213.1210.2210.1191.0186.3163.6154.1-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D4080120160200Min: 225.2 / Avg: 228.18 / Max: 229.7Min: 210.7 / Avg: 213.06 / Max: 215.7Min: 209.3 / Avg: 210.24 / Max: 210.8Min: 207.8 / Avg: 210.1 / Max: 216.5Min: 188.9 / Avg: 191.04 / Max: 193Min: 184 / Avg: 186.33 / Max: 188.7Min: 162.8 / Avg: 163.58 / Max: 164.2Min: 153 / Avg: 154.07 / Max: 154.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression SpeedCore i9 13900KRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D5001000150020002500SE +/- 0.35, N = 3SE +/- 1.30, N = 3SE +/- 2.61, N = 3SE +/- 34.70, N = 3SE +/- 4.45, N = 3SE +/- 7.80, N = 3SE +/- 19.93, N = 3SE +/- 2.21, N = 32399.02250.82235.02220.92220.82219.21773.01622.5-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression SpeedCore i9 13900KRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D400800120016002000Min: 2398.4 / Avg: 2399 / Max: 2399.6Min: 2249 / Avg: 2250.77 / Max: 2253.3Min: 2230.3 / Avg: 2235.03 / Max: 2239.3Min: 2151.8 / Avg: 2220.9 / Max: 2261Min: 2212.1 / Avg: 2220.83 / Max: 2226.7Min: 2203.9 / Avg: 2219.2 / Max: 2229.5Min: 1733.2 / Avg: 1773.03 / Max: 1794.2Min: 1619.9 / Avg: 1622.5 / Max: 1626.91. (CC) gcc options: -O3 -pthread -lz -llzma

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D60120180240300SE +/- 1.02, N = 5SE +/- 1.97, N = 5SE +/- 1.17, N = 5SE +/- 0.74, N = 5SE +/- 1.04, N = 5SE +/- 1.91, N = 5SE +/- 1.31, N = 4SE +/- 0.64, N = 4257.2251.3250.5248.2242.8229.3190.7174.6-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D50100150200250Min: 254 / Avg: 257.18 / Max: 259.5Min: 246.1 / Avg: 251.34 / Max: 255.6Min: 246.7 / Avg: 250.5 / Max: 253.5Min: 245.4 / Avg: 248.18 / Max: 249.5Min: 239.8 / Avg: 242.84 / Max: 244.9Min: 226 / Avg: 229.32 / Max: 234.2Min: 187.3 / Avg: 190.65 / Max: 193.3Min: 172.7 / Avg: 174.63 / Max: 175.41. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D50100150200250SE +/- 0.89, N = 3SE +/- 0.61, N = 3SE +/- 0.07, N = 3SE +/- 3.21, N = 7SE +/- 0.56, N = 3SE +/- 0.25, N = 3SE +/- 0.42, N = 3SE +/- 0.25, N = 3240.2238.1237.3230.3204.3185.2174.9163.1-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D4080120160200Min: 238.4 / Avg: 240.17 / Max: 241.2Min: 237 / Avg: 238.13 / Max: 239.1Min: 237.2 / Avg: 237.33 / Max: 237.4Min: 211.1 / Avg: 230.26 / Max: 235Min: 203.2 / Avg: 204.27 / Max: 205.1Min: 184.9 / Avg: 185.2 / Max: 185.7Min: 174.1 / Avg: 174.9 / Max: 175.5Min: 162.6 / Avg: 163.1 / Max: 163.41. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D714212835SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 319.8022.6123.6123.9424.5024.8228.2829.05
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D612182430Min: 19.73 / Avg: 19.8 / Max: 19.85Min: 22.6 / Avg: 22.61 / Max: 22.61Min: 23.56 / Avg: 23.61 / Max: 23.71Min: 23.88 / Avg: 23.93 / Max: 23.98Min: 24.45 / Avg: 24.49 / Max: 24.55Min: 24.68 / Avg: 24.82 / Max: 24.97Min: 28.27 / Avg: 28.28 / Max: 28.29Min: 29.02 / Avg: 29.05 / Max: 29.08

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 1.1Video Input: Summer Nature 1080pRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 3.15, N = 10SE +/- 2.53, N = 3SE +/- 1.45, N = 10SE +/- 1.20, N = 10SE +/- 1.89, N = 10SE +/- 1.05, N = 10SE +/- 0.41, N = 9SE +/- 1.93, N = 91507.511426.551420.911408.291391.011271.691041.691028.121. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500Min: 1494.81 / Avg: 1507.51 / Max: 1521.47Min: 1423.94 / Avg: 1426.55 / Max: 1431.61Min: 1414.18 / Avg: 1420.91 / Max: 1431.24Min: 1401.29 / Avg: 1408.29 / Max: 1415.23Min: 1382.7 / Avg: 1391.01 / Max: 1400.7Min: 1265.43 / Avg: 1271.69 / Max: 1276.75Min: 1038.95 / Avg: 1041.69 / Max: 1042.86Min: 1018.87 / Avg: 1028.12 / Max: 1036.471. (CC) gcc options: -pthread -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 0.14Test: Apache Spark PageRankRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X5001000150020002500SE +/- 15.35, N = 3SE +/- 10.99, N = 3SE +/- 11.90, N = 3SE +/- 12.71, N = 15SE +/- 16.35, N = 3SE +/- 15.91, N = 15SE +/- 28.17, N = 3SE +/- 28.54, N = 31561.41572.71658.91676.11692.21842.12157.32282.4MIN: 1418.26 / MAX: 1752.72MIN: 1439.59 / MAX: 1783.75MIN: 1538.47 / MAX: 1746.84MIN: 1509.66 / MAX: 1844.06MIN: 1531.5 / MAX: 1756.35MIN: 1635.98 / MAX: 2012.4MIN: 1968.01 / MAX: 2242.52MIN: 2067.05 / MAX: 2379.88
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark PageRankRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X400800120016002000Min: 1535.54 / Avg: 1561.43 / Max: 1588.66Min: 1556.89 / Avg: 1572.68 / Max: 1593.83Min: 1641.67 / Avg: 1658.87 / Max: 1681.71Min: 1606.7 / Avg: 1676.14 / Max: 1796.99Min: 1664.06 / Avg: 1692.21 / Max: 1720.7Min: 1722.37 / Avg: 1842.14 / Max: 1927.98Min: 2111.58 / Avg: 2157.34 / Max: 2208.7Min: 2249.68 / Avg: 2282.39 / Max: 2339.26

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D60120180240300SE +/- 2.81, N = 15SE +/- 0.02, N = 5SE +/- 0.56, N = 5SE +/- 0.06, N = 5SE +/- 2.82, N = 15SE +/- 2.99, N = 15SE +/- 1.51, N = 4SE +/- 0.67, N = 4184.13218.01221.94226.13226.66232.43252.80268.491. chrome 110.0.5481.96
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D50100150200250Min: 173.97 / Avg: 184.13 / Max: 199.39Min: 217.96 / Avg: 218.01 / Max: 218.07Min: 219.87 / Avg: 221.94 / Max: 223.02Min: 226.01 / Avg: 226.13 / Max: 226.34Min: 217.86 / Avg: 226.66 / Max: 239.81Min: 221.86 / Avg: 232.43 / Max: 244.48Min: 248.98 / Avg: 252.8 / Max: 256.23Min: 266.47 / Avg: 268.49 / Max: 269.211. chrome 110.0.5481.96

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 10Ryzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D48121620SE +/- 0.05, N = 7SE +/- 0.04, N = 7SE +/- 0.08, N = 7SE +/- 0.08, N = 7SE +/- 0.03, N = 7SE +/- 0.03, N = 6SE +/- 0.08, N = 6SE +/- 0.02, N = 618.1617.4717.3916.5515.9915.8213.4512.46
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 10Ryzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D510152025Min: 17.92 / Avg: 18.15 / Max: 18.3Min: 17.25 / Avg: 17.47 / Max: 17.6Min: 17.09 / Avg: 17.39 / Max: 17.7Min: 16.28 / Avg: 16.55 / Max: 16.99Min: 15.86 / Avg: 15.99 / Max: 16.05Min: 15.7 / Avg: 15.82 / Max: 15.9Min: 13.11 / Avg: 13.45 / Max: 13.63Min: 12.41 / Avg: 12.46 / Max: 12.55

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D6001200180024003000SE +/- 0.12, N = 3SE +/- 5.61, N = 3SE +/- 13.08, N = 3SE +/- 25.34, N = 8SE +/- 4.43, N = 3SE +/- 75.00, N = 3SE +/- 14.89, N = 3SE +/- 7.09, N = 32580.82487.72471.72449.12429.32376.71899.51778.4-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D400800120016002000Min: 2580.6 / Avg: 2580.83 / Max: 2581Min: 2476.5 / Avg: 2487.67 / Max: 2494.2Min: 2452.5 / Avg: 2471.73 / Max: 2496.7Min: 2290.3 / Avg: 2449.13 / Max: 2518.3Min: 2421.1 / Avg: 2429.33 / Max: 2436.3Min: 2231.3 / Avg: 2376.7 / Max: 2481.3Min: 1873 / Avg: 1899.5 / Max: 1924.5Min: 1767.3 / Avg: 1778.4 / Max: 1791.61. (CC) gcc options: -O3 -pthread -lz -llzma

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D3691215SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 15SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 36.266.446.756.757.287.318.729.051. chrome 110.0.5481.96
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D3691215Min: 6.21 / Avg: 6.26 / Max: 6.3Min: 6.36 / Avg: 6.44 / Max: 6.57Min: 6.7 / Avg: 6.75 / Max: 6.79Min: 6.74 / Avg: 6.75 / Max: 6.77Min: 6.92 / Avg: 7.28 / Max: 7.67Min: 7.16 / Avg: 7.31 / Max: 7.48Min: 8.64 / Avg: 8.72 / Max: 8.87Min: 9 / Avg: 9.05 / Max: 9.121. chrome 110.0.5481.96

SQLite Speedtest

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D1020304050SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.29, N = 3SE +/- 0.19, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 331.7034.4934.7334.8035.1335.5444.2245.821. (CC) gcc options: -O2 -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D918273645Min: 31.66 / Avg: 31.7 / Max: 31.77Min: 34.3 / Avg: 34.49 / Max: 34.68Min: 34.57 / Avg: 34.73 / Max: 34.94Min: 34.72 / Avg: 34.8 / Max: 34.86Min: 34.63 / Avg: 35.13 / Max: 35.65Min: 35.17 / Avg: 35.54 / Max: 35.84Min: 43.95 / Avg: 44.22 / Max: 44.44Min: 45.69 / Avg: 45.82 / Max: 45.891. (CC) gcc options: -O2 -lz

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D60120180240300SE +/- 0.79, N = 4SE +/- 0.50, N = 4SE +/- 0.82, N = 4SE +/- 1.28, N = 4SE +/- 0.37, N = 4SE +/- 0.93, N = 4SE +/- 1.41, N = 4SE +/- 0.65, N = 4263.2260.7259.5257.8246.9223.1196.3182.7-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D50100150200250Min: 261.5 / Avg: 263.15 / Max: 264.9Min: 259.4 / Avg: 260.73 / Max: 261.6Min: 258 / Avg: 259.45 / Max: 261.4Min: 254.9 / Avg: 257.78 / Max: 260.6Min: 246.2 / Avg: 246.9 / Max: 247.8Min: 221.2 / Avg: 223.1 / Max: 225.6Min: 193.9 / Avg: 196.33 / Max: 200.4Min: 181.3 / Avg: 182.7 / Max: 184.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -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 0.14Test: Apache Spark ALSRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D5001000150020002500SE +/- 5.15, N = 3SE +/- 11.27, N = 3SE +/- 12.86, N = 14SE +/- 8.73, N = 3SE +/- 11.84, N = 3SE +/- 3.63, N = 3SE +/- 16.20, N = 3SE +/- 3.11, N = 31688.01726.21824.11830.21863.81868.32407.42413.4MIN: 1631.92 / MAX: 1743.48MIN: 1631.25 / MAX: 2223.55MIN: 1696.07 / MAX: 2476.07MIN: 1744.85 / MAX: 2498.03MIN: 1785.37 / MAX: 1996.47MIN: 1801.21 / MAX: 2007.19MIN: 2310.72 / MAX: 2858.76MIN: 2323.8 / MAX: 2498.72
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark ALSRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D400800120016002000Min: 1680.53 / Avg: 1687.95 / Max: 1697.86Min: 1710.71 / Avg: 1726.17 / Max: 1748.1Min: 1791.92 / Avg: 1824.1 / Max: 1985.88Min: 1818.86 / Avg: 1830.18 / Max: 1847.35Min: 1840.18 / Avg: 1863.76 / Max: 1877.44Min: 1862.94 / Avg: 1868.3 / Max: 1875.21Min: 2381.05 / Avg: 2407.44 / Max: 2436.92Min: 2407.39 / Avg: 2413.41 / Max: 2417.77

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: auto-levelsRyzen 7 7700XRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D3691215SE +/- 0.005, N = 5SE +/- 0.024, N = 5SE +/- 0.010, N = 5SE +/- 0.017, N = 5SE +/- 0.014, N = 5SE +/- 0.021, N = 4SE +/- 0.031, N = 4SE +/- 0.104, N = 49.0829.88210.10510.56210.68010.74812.72912.881
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: auto-levelsRyzen 7 7700XRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D48121620Min: 9.06 / Avg: 9.08 / Max: 9.09Min: 9.82 / Avg: 9.88 / Max: 9.94Min: 10.08 / Avg: 10.11 / Max: 10.13Min: 10.52 / Avg: 10.56 / Max: 10.61Min: 10.63 / Avg: 10.68 / Max: 10.71Min: 10.7 / Avg: 10.75 / Max: 10.78Min: 12.64 / Avg: 12.73 / Max: 12.79Min: 12.74 / Avg: 12.88 / Max: 13.18

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: Zstd Compression 19Ryzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.01, N = 5SE +/- 0.08, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 410.1911.3811.4811.4811.6312.8313.3314.45
OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: Zstd Compression 19Ryzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X48121620Min: 10.17 / Avg: 10.19 / Max: 10.22Min: 11.2 / Avg: 11.38 / Max: 11.67Min: 11.45 / Avg: 11.48 / Max: 11.55Min: 11.43 / Avg: 11.48 / Max: 11.52Min: 11.53 / Avg: 11.63 / Max: 11.71Min: 12.79 / Avg: 12.83 / Max: 12.92Min: 13.3 / Avg: 13.33 / Max: 13.36Min: 14.41 / Avg: 14.45 / Max: 14.52

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D400800120016002000SE +/- 9.33, N = 3SE +/- 8.17, N = 3SE +/- 4.48, N = 3SE +/- 5.21, N = 3SE +/- 3.21, N = 3SE +/- 2.67, N = 3SE +/- 3.53, N = 3SE +/- 2.03, N = 3175417191688166815801578156112441. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 7 7700XRyzen 7 5800X3D30060090012001500Min: 1735 / Avg: 1753.67 / Max: 1763Min: 1703 / Avg: 1719.33 / Max: 1728Min: 1679 / Avg: 1687.67 / Max: 1694Min: 1659 / Avg: 1667.67 / Max: 1677Min: 1575 / Avg: 1580 / Max: 1586Min: 1573 / Avg: 1578.33 / Max: 1581Min: 1554 / Avg: 1560.67 / Max: 1566Min: 1241 / Avg: 1244.33 / Max: 12481. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random FillRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 5800X3D300K600K900K1200K1500KSE +/- 4473.93, N = 3SE +/- 4775.50, N = 3SE +/- 2202.93, N = 3SE +/- 10578.83, N = 3SE +/- 2800.14, N = 3SE +/- 1751.92, N = 3SE +/- 2253.91, N = 3SE +/- 1087.26, N = 3145587314104661394781137443912888841248089122405110331251. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random FillRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 5800X3D300K600K900K1200K1500KMin: 1447039 / Avg: 1455873.33 / Max: 1461521Min: 1404326 / Avg: 1410466.33 / Max: 1419872Min: 1390379 / Avg: 1394780.67 / Max: 1397148Min: 1354198 / Avg: 1374439.33 / Max: 1389894Min: 1284269 / Avg: 1288884 / Max: 1293939Min: 1244841 / Avg: 1248089.33 / Max: 1250851Min: 1219714 / Avg: 1224051 / Max: 1227284Min: 1031108 / Avg: 1033125.33 / Max: 10348371. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X20406080100SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.30, N = 3SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.60, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 354.5655.7759.6361.5361.5762.1074.1476.87
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1530456075Min: 54.45 / Avg: 54.55 / Max: 54.67Min: 55.74 / Avg: 55.77 / Max: 55.81Min: 59.04 / Avg: 59.63 / Max: 59.95Min: 61.34 / Avg: 61.53 / Max: 61.89Min: 61.51 / Avg: 61.57 / Max: 61.61Min: 61.36 / Avg: 62.1 / Max: 63.29Min: 74.03 / Avg: 74.14 / Max: 74.22Min: 76.79 / Avg: 76.87 / Max: 76.93

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D5001000150020002500SE +/- 0.23, N = 3SE +/- 5.48, N = 6SE +/- 5.19, N = 15SE +/- 10.13, N = 3SE +/- 24.14, N = 15SE +/- 14.78, N = 15SE +/- 4.14, N = 6SE +/- 15.68, N = 32122.32023.32021.92002.11920.51853.11583.61508.7-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D400800120016002000Min: 2121.9 / Avg: 2122.33 / Max: 2122.7Min: 2007.1 / Avg: 2023.28 / Max: 2040.3Min: 1996.8 / Avg: 2021.87 / Max: 2053Min: 1986 / Avg: 2002.07 / Max: 2020.8Min: 1824.3 / Avg: 1920.49 / Max: 2054.1Min: 1821.1 / Avg: 1853.09 / Max: 2048.3Min: 1567.9 / Avg: 1583.63 / Max: 1597.9Min: 1477.5 / Avg: 1508.7 / Max: 1527.11. (CC) gcc options: -O3 -pthread -lz -llzma

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D612182430SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 317.6819.3719.3819.7020.0820.2923.6224.86
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D612182430Min: 17.63 / Avg: 17.68 / Max: 17.78Min: 19.35 / Avg: 19.37 / Max: 19.42Min: 19.38 / Avg: 19.38 / Max: 19.39Min: 19.69 / Avg: 19.7 / Max: 19.71Min: 19.98 / Avg: 20.08 / Max: 20.19Min: 20.22 / Avg: 20.29 / Max: 20.38Min: 23.57 / Avg: 23.62 / Max: 23.68Min: 24.82 / Avg: 24.86 / Max: 24.9

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 1.1Video Input: Chimera 1080pRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000SE +/- 3.00, N = 5SE +/- 0.93, N = 5SE +/- 0.43, N = 3SE +/- 1.36, N = 5SE +/- 0.68, N = 5SE +/- 0.40, N = 5SE +/- 0.10, N = 4SE +/- 3.50, N = 41011.30989.45976.80946.68916.09865.20767.36720.131. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080pRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X2004006008001000Min: 1002.43 / Avg: 1011.3 / Max: 1016.57Min: 987.8 / Avg: 989.45 / Max: 992.09Min: 976 / Avg: 976.8 / Max: 977.46Min: 942.19 / Avg: 946.68 / Max: 949.85Min: 914.27 / Avg: 916.09 / Max: 917.85Min: 864.32 / Avg: 865.2 / Max: 866.5Min: 767.14 / Avg: 767.36 / Max: 767.61Min: 715.87 / Avg: 720.13 / Max: 730.561. (CC) gcc options: -pthread -lm

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D80160240320400SE +/- 0.91, N = 3SE +/- 3.05, N = 3SE +/- 2.67, N = 3SE +/- 2.56, N = 3SE +/- 3.71, N = 3SE +/- 3.68, N = 4SE +/- 0.66, N = 3SE +/- 0.88, N = 3375.41361.27346.78344.46326.71319.18273.51267.801. chrome 110.0.5481.96
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D70140210280350Min: 374.25 / Avg: 375.41 / Max: 377.21Min: 356.61 / Avg: 361.27 / Max: 367.01Min: 341.76 / Avg: 346.78 / Max: 350.87Min: 340.39 / Avg: 344.46 / Max: 349.18Min: 319.3 / Avg: 326.71 / Max: 330.56Min: 308.37 / Avg: 319.18 / Max: 324.93Min: 272.19 / Avg: 273.51 / Max: 274.28Min: 266.63 / Avg: 267.8 / Max: 269.531. chrome 110.0.5481.96

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D5001000150020002500SE +/- 2.46, N = 3SE +/- 11.21, N = 3SE +/- 3.10, N = 3SE +/- 1.43, N = 3SE +/- 24.49, N = 15SE +/- 18.52, N = 15SE +/- 1.51, N = 3SE +/- 5.32, N = 32207.02143.52133.42107.22013.41979.11663.61575.4-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D400800120016002000Min: 2202.1 / Avg: 2206.97 / Max: 2210Min: 2124.5 / Avg: 2143.47 / Max: 2163.3Min: 2127.2 / Avg: 2133.4 / Max: 2136.7Min: 2104.6 / Avg: 2107.23 / Max: 2109.5Min: 1915.5 / Avg: 2013.42 / Max: 2151.1Min: 1923.7 / Avg: 1979.09 / Max: 2119.9Min: 1661.4 / Avg: 1663.63 / Max: 1666.5Min: 1568.2 / Avg: 1575.43 / Max: 1585.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X48121620SE +/- 0.17, N = 15SE +/- 0.16, N = 15SE +/- 0.12, N = 15SE +/- 0.03, N = 3SE +/- 0.11, N = 6SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 614.414.213.112.711.511.510.810.3-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X48121620Min: 13.1 / Avg: 14.41 / Max: 15.1Min: 12.9 / Avg: 14.18 / Max: 14.9Min: 12.4 / Avg: 13.15 / Max: 13.7Min: 12.7 / Avg: 12.73 / Max: 12.8Min: 11 / Avg: 11.53 / Max: 11.7Min: 11.5 / Avg: 11.5 / Max: 11.5Min: 10.7 / Avg: 10.77 / Max: 10.8Min: 10.1 / Avg: 10.28 / Max: 10.71. (CC) gcc options: -O3 -pthread -lz -llzma

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: rotateRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D3691215SE +/- 0.010, N = 5SE +/- 0.009, N = 5SE +/- 0.032, N = 5SE +/- 0.005, N = 5SE +/- 0.012, N = 5SE +/- 0.105, N = 5SE +/- 0.014, N = 4SE +/- 0.013, N = 48.9139.0729.4539.4699.4979.56011.83612.455
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: rotateRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D48121620Min: 8.88 / Avg: 8.91 / Max: 8.94Min: 9.04 / Avg: 9.07 / Max: 9.1Min: 9.37 / Avg: 9.45 / Max: 9.53Min: 9.46 / Avg: 9.47 / Max: 9.49Min: 9.46 / Avg: 9.5 / Max: 9.52Min: 9.22 / Avg: 9.56 / Max: 9.74Min: 11.81 / Avg: 11.84 / Max: 11.87Min: 12.43 / Avg: 12.46 / Max: 12.48

Radiance Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D100200300400500329.74331.74332.44332.53336.99344.61426.55460.15

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: Church FacadeRyzen 9 7950X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 5950X11002200330044005500SE +/- 7.96, N = 8SE +/- 13.88, N = 7SE +/- 13.13, N = 7SE +/- 15.66, N = 7SE +/- 11.48, N = 7SE +/- 21.89, N = 7SE +/- 2.92, N = 7SE +/- 4.47, N = 7364242734302445045314534454850811. (CXX) g++ options: -O3
OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: Church FacadeRyzen 9 7950X3DCore i9 13900KRyzen 7 5800X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 5950X9001800270036004500Min: 3615 / Avg: 3641.88 / Max: 3690Min: 4234 / Avg: 4273 / Max: 4337Min: 4277 / Avg: 4301.86 / Max: 4355Min: 4407 / Avg: 4449.57 / Max: 4529Min: 4488 / Avg: 4531.14 / Max: 4569Min: 4485 / Avg: 4533.57 / Max: 4653Min: 4536 / Avg: 4548 / Max: 4562Min: 5056 / Avg: 5080.86 / Max: 50911. (CXX) g++ options: -O3

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex PhaseRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D2004006008001000SE +/- 2.19, N = 3SE +/- 0.73, N = 3SE +/- 0.32, N = 3SE +/- 3.97, N = 3SE +/- 6.62, N = 7SE +/- 5.57, N = 3SE +/- 0.81, N = 3SE +/- 0.94, N = 31114.21106.11096.91085.21068.61064.1846.8801.5
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex PhaseRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D2004006008001000Min: 1110.4 / Avg: 1114.23 / Max: 1118Min: 1104.8 / Avg: 1106.13 / Max: 1107.3Min: 1096.3 / Avg: 1096.9 / Max: 1097.4Min: 1077.4 / Avg: 1085.17 / Max: 1090.5Min: 1042.7 / Avg: 1068.6 / Max: 1090.1Min: 1053.9 / Avg: 1064.07 / Max: 1073.1Min: 845.3 / Avg: 846.8 / Max: 848.1Min: 800.2 / Avg: 801.47 / Max: 803.3

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3D7001400210028003500SE +/- 19.70, N = 3SE +/- 26.15, N = 4SE +/- 0.88, N = 3SE +/- 10.37, N = 3SE +/- 31.38, N = 3SE +/- 25.01, N = 3SE +/- 28.20, N = 15SE +/- 26.29, N = 15226124852579261329983057309231391. chrome 110.0.5481.96
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3D5001000150020002500Min: 2239 / Avg: 2260.67 / Max: 2300Min: 2423 / Avg: 2484.75 / Max: 2548Min: 2577 / Avg: 2578.67 / Max: 2580Min: 2599 / Avg: 2612.67 / Max: 2633Min: 2964 / Avg: 2998.33 / Max: 3061Min: 3019 / Avg: 3056.67 / Max: 3104Min: 2846 / Avg: 3092.2 / Max: 3238Min: 2982 / Avg: 3139.2 / Max: 32711. chrome 110.0.5481.96

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionCore i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D0.20930.41860.62790.83721.0465SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 30.930.880.870.860.830.810.720.671. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionCore i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D246810Min: 0.93 / Avg: 0.93 / Max: 0.93Min: 0.87 / Avg: 0.88 / Max: 0.89Min: 0.87 / Avg: 0.87 / Max: 0.88Min: 0.85 / Avg: 0.86 / Max: 0.89Min: 0.83 / Avg: 0.83 / Max: 0.84Min: 0.79 / Avg: 0.81 / Max: 0.82Min: 0.72 / Avg: 0.72 / Max: 0.72Min: 0.67 / Avg: 0.67 / Max: 0.671. (CC) gcc options: -fvisibility=hidden -O2 -lm

Crafty

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

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D3M6M9M12M15MSE +/- 15817.42, N = 4SE +/- 33247.37, N = 4SE +/- 76270.31, N = 4SE +/- 64159.22, N = 4SE +/- 164144.94, N = 15SE +/- 87638.38, N = 4SE +/- 16648.56, N = 3SE +/- 29665.04, N = 315127124151043931485292714508057135319941340863711534617109149081. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D3M6M9M12M15MMin: 15095050 / Avg: 15127124 / Max: 15170607Min: 15037249 / Avg: 15104392.75 / Max: 15192294Min: 14656013 / Avg: 14852927 / Max: 14998202Min: 14375505 / Avg: 14508057 / Max: 14673714Min: 13086760 / Avg: 13531994 / Max: 15263958Min: 13163790 / Avg: 13408636.75 / Max: 13552442Min: 11514708 / Avg: 11534616.67 / Max: 11567685Min: 10855652 / Avg: 10914907.67 / Max: 109471081. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 5950XRyzen 7 5800X3D48121620SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.09, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 411.6612.6012.6512.9713.0113.3715.4416.141. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 5950XRyzen 7 5800X3D48121620Min: 11.64 / Avg: 11.66 / Max: 11.68Min: 12.56 / Avg: 12.6 / Max: 12.66Min: 12.56 / Avg: 12.65 / Max: 12.75Min: 12.8 / Avg: 12.97 / Max: 13.15Min: 12.98 / Avg: 13.01 / Max: 13.05Min: 13.34 / Avg: 13.37 / Max: 13.41Min: 15.38 / Avg: 15.44 / Max: 15.49Min: 16.07 / Avg: 16.14 / Max: 16.191. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 5950XRyzen 7 5800X3D0.52881.05761.58642.11522.644SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 15SE +/- 0.02, N = 5SE +/- 0.01, N = 4SE +/- 0.01, N = 42.352.312.262.252.222.211.881.701. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7900XRyzen 9 5950XRyzen 7 5800X3D246810Min: 2.35 / Avg: 2.35 / Max: 2.35Min: 2.29 / Avg: 2.31 / Max: 2.32Min: 2.24 / Avg: 2.26 / Max: 2.29Min: 2.24 / Avg: 2.25 / Max: 2.25Min: 2.01 / Avg: 2.22 / Max: 2.29Min: 2.18 / Avg: 2.21 / Max: 2.28Min: 1.87 / Avg: 1.88 / Max: 1.91Min: 1.69 / Avg: 1.7 / Max: 1.711. (CC) gcc options: -fvisibility=hidden -O2 -lm

Dolfyn

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D48121620SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.03, N = 5SE +/- 0.10, N = 5SE +/- 0.19, N = 15SE +/- 0.22, N = 15SE +/- 0.08, N = 4SE +/- 0.02, N = 410.3110.4510.5610.6111.2011.3813.4614.25
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D48121620Min: 10.29 / Avg: 10.31 / Max: 10.35Min: 10.41 / Avg: 10.44 / Max: 10.47Min: 10.49 / Avg: 10.56 / Max: 10.67Min: 10.27 / Avg: 10.61 / Max: 10.76Min: 10.3 / Avg: 11.2 / Max: 11.97Min: 10.43 / Avg: 11.38 / Max: 12.26Min: 13.27 / Avg: 13.45 / Max: 13.59Min: 14.2 / Avg: 14.25 / Max: 14.31

GNU Octave Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 7.3.0Ryzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X246810SE +/- 0.040, N = 8SE +/- 0.037, N = 8SE +/- 0.017, N = 8SE +/- 0.007, N = 8SE +/- 0.014, N = 8SE +/- 0.010, N = 7SE +/- 0.016, N = 7SE +/- 0.010, N = 64.6274.6594.7064.7284.7475.5736.2336.387
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 7.3.0Ryzen 9 7900X3DRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X3691215Min: 4.53 / Avg: 4.63 / Max: 4.83Min: 4.54 / Avg: 4.66 / Max: 4.83Min: 4.61 / Avg: 4.71 / Max: 4.76Min: 4.71 / Avg: 4.73 / Max: 4.78Min: 4.67 / Avg: 4.75 / Max: 4.8Min: 5.54 / Avg: 5.57 / Max: 5.6Min: 6.17 / Avg: 6.23 / Max: 6.29Min: 6.35 / Avg: 6.39 / Max: 6.43

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pRyzen 7 7700XCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1122334455SE +/- 0.06, N = 4SE +/- 0.11, N = 4SE +/- 0.24, N = 4SE +/- 0.43, N = 4SE +/- 0.47, N = 4SE +/- 0.16, N = 4SE +/- 0.05, N = 4SE +/- 0.07, N = 349.8846.5643.6243.1240.0939.6337.2736.341. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pRyzen 7 7700XCore i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 5950X1020304050Min: 49.74 / Avg: 49.88 / Max: 50.04Min: 46.4 / Avg: 46.56 / Max: 46.85Min: 43.16 / Avg: 43.62 / Max: 44.11Min: 41.94 / Avg: 43.12 / Max: 44.01Min: 38.71 / Avg: 40.09 / Max: 40.76Min: 39.15 / Avg: 39.63 / Max: 39.83Min: 37.17 / Avg: 37.27 / Max: 37.37Min: 36.24 / Avg: 36.34 / Max: 36.471. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D100200300400500SE +/- 0.15, N = 4SE +/- 0.63, N = 4SE +/- 1.86, N = 4SE +/- 2.49, N = 4SE +/- 4.43, N = 4SE +/- 3.52, N = 7SE +/- 1.04, N = 3SE +/- 1.25, N = 3341.9347.2348.5353.7373.8376.3448.4466.51. chrome 110.0.5481.96
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeCore i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D80160240320400Min: 341.5 / Avg: 341.9 / Max: 342.2Min: 346.4 / Avg: 347.23 / Max: 349.1Min: 345 / Avg: 348.5 / Max: 353.6Min: 351 / Avg: 353.73 / Max: 361.2Min: 365.3 / Avg: 373.75 / Max: 386.1Min: 358.5 / Avg: 376.34 / Max: 383.6Min: 446.4 / Avg: 448.43 / Max: 449.8Min: 465.1 / Avg: 466.5 / Max: 4691. chrome 110.0.5481.96

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D1020304050SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.28, N = 3SE +/- 0.50, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 330.8232.5932.8632.9433.5734.5839.7642.03
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D918273645Min: 30.74 / Avg: 30.82 / Max: 30.89Min: 32.58 / Avg: 32.59 / Max: 32.59Min: 32.74 / Avg: 32.86 / Max: 32.93Min: 32.89 / Avg: 32.94 / Max: 33.02Min: 33.02 / Avg: 33.57 / Max: 33.86Min: 33.9 / Avg: 34.58 / Max: 35.55Min: 39.5 / Avg: 39.76 / Max: 40.01Min: 41.91 / Avg: 42.03 / Max: 42.11

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.34, N = 15SE +/- 0.31, N = 15SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 325.524.823.423.320.620.419.018.7-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X612182430Min: 23.6 / Avg: 25.53 / Max: 27.2Min: 23.7 / Avg: 24.85 / Max: 26.7Min: 23.2 / Avg: 23.43 / Max: 23.6Min: 23.2 / Avg: 23.3 / Max: 23.4Min: 20.5 / Avg: 20.57 / Max: 20.6Min: 20.3 / Avg: 20.43 / Max: 20.6Min: 18.8 / Avg: 18.97 / Max: 19.1Min: 18.6 / Avg: 18.73 / Max: 18.91. (CC) gcc options: -O3 -pthread -lz -llzma

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D150300450600750SE +/- 1.52, N = 3SE +/- 1.13, N = 3SE +/- 4.08, N = 3SE +/- 1.02, N = 3SE +/- 6.39, N = 3SE +/- 2.09, N = 3SE +/- 3.98, N = 3SE +/- 0.82, N = 3703.9682.0671.9666.2608.1591.2549.7516.7-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D120240360480600Min: 701.7 / Avg: 703.87 / Max: 706.8Min: 680.1 / Avg: 682 / Max: 684Min: 667.7 / Avg: 671.93 / Max: 680.1Min: 664.2 / Avg: 666.17 / Max: 667.6Min: 595.3 / Avg: 608.07 / Max: 615Min: 587 / Avg: 591.17 / Max: 593.6Min: 544.7 / Avg: 549.73 / Max: 557.6Min: 515.1 / Avg: 516.73 / Max: 517.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

Radiance Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParallelRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D306090120150104.70105.40111.23112.36113.30115.75137.71142.24

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X714212835SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 327.9824.0723.3922.6322.1921.9921.7720.651. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X612182430Min: 27.77 / Avg: 27.98 / Max: 28.34Min: 23.92 / Avg: 24.07 / Max: 24.38Min: 23.23 / Avg: 23.39 / Max: 23.55Min: 22.5 / Avg: 22.63 / Max: 22.71Min: 21.84 / Avg: 22.19 / Max: 22.61Min: 21.55 / Avg: 21.99 / Max: 22.28Min: 21.48 / Avg: 21.77 / Max: 21.94Min: 20.59 / Avg: 20.65 / Max: 20.721. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 4KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X3691215SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 311.5610.7910.7710.6610.079.888.678.541. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 4KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X3691215Min: 11.51 / Avg: 11.56 / Max: 11.6Min: 10.7 / Avg: 10.79 / Max: 10.85Min: 10.58 / Avg: 10.77 / Max: 10.91Min: 10.64 / Avg: 10.66 / Max: 10.67Min: 9.9 / Avg: 10.07 / Max: 10.33Min: 9.76 / Avg: 9.88 / Max: 9.96Min: 8.56 / Avg: 8.67 / Max: 8.73Min: 8.47 / Avg: 8.54 / Max: 8.61. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 5950XRyzen 7 5800X3D140280420560700SE +/- 2.62, N = 5SE +/- 2.92, N = 5SE +/- 4.06, N = 5SE +/- 4.63, N = 5SE +/- 0.79, N = 5SE +/- 4.62, N = 5SE +/- 3.43, N = 4SE +/- 0.90, N = 4635.9620.1618.9617.3614.4598.0511.8470.7-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 5950XRyzen 7 5800X3D110220330440550Min: 627.3 / Avg: 635.86 / Max: 641Min: 610.7 / Avg: 620.1 / Max: 626.4Min: 610.8 / Avg: 618.94 / Max: 629.7Min: 599.1 / Avg: 617.3 / Max: 624.1Min: 611.5 / Avg: 614.42 / Max: 615.8Min: 580.2 / Avg: 597.98 / Max: 606Min: 503.3 / Avg: 511.78 / Max: 517.4Min: 469 / Avg: 470.73 / Max: 473.21. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D612182430SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 317.3218.0118.9919.3819.7720.1823.1023.38
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D510152025Min: 17.25 / Avg: 17.32 / Max: 17.43Min: 18 / Avg: 18.01 / Max: 18.02Min: 18.99 / Avg: 18.99 / Max: 19Min: 19.3 / Avg: 19.38 / Max: 19.44Min: 19.73 / Avg: 19.77 / Max: 19.84Min: 20.01 / Avg: 20.17 / Max: 20.44Min: 23 / Avg: 23.1 / Max: 23.2Min: 23.36 / Avg: 23.38 / Max: 23.41

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D140280420560700SE +/- 1.28, N = 3SE +/- 3.47, N = 3SE +/- 0.98, N = 3SE +/- 5.77, N = 3SE +/- 5.30, N = 7SE +/- 5.08, N = 3SE +/- 0.68, N = 3SE +/- 0.65, N = 3636.6619.8618.3617.8604.7552.5502.7472.2-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D110220330440550Min: 634.8 / Avg: 636.63 / Max: 639.1Min: 612.9 / Avg: 619.83 / Max: 623.5Min: 617.3 / Avg: 618.33 / Max: 620.3Min: 606.4 / Avg: 617.83 / Max: 624.9Min: 574 / Avg: 604.7 / Max: 615Min: 544.3 / Avg: 552.53 / Max: 561.8Min: 501.8 / Avg: 502.67 / Max: 504Min: 470.9 / Avg: 472.2 / Max: 472.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7900XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D714212835SE +/- 0.08, N = 13SE +/- 0.07, N = 13SE +/- 0.10, N = 15SE +/- 0.21, N = 15SE +/- 0.06, N = 15SE +/- 0.12, N = 13SE +/- 0.06, N = 12SE +/- 0.05, N = 1228.0427.9027.7927.4827.2325.4821.9820.841. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultRyzen 9 7950X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7900XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D612182430Min: 27.43 / Avg: 28.04 / Max: 28.34Min: 27.43 / Avg: 27.9 / Max: 28.5Min: 26.55 / Avg: 27.79 / Max: 28.04Min: 24.79 / Avg: 27.48 / Max: 27.94Min: 27.03 / Avg: 27.23 / Max: 28.07Min: 24.42 / Avg: 25.48 / Max: 25.72Min: 21.68 / Avg: 21.98 / Max: 22.45Min: 20.62 / Avg: 20.84 / Max: 21.051. (CC) gcc options: -fvisibility=hidden -O2 -lm

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D150300450600750SE +/- 2.11, N = 4SE +/- 1.96, N = 4SE +/- 0.62, N = 4SE +/- 1.07, N = 4SE +/- 2.22, N = 4SE +/- 1.94, N = 4SE +/- 4.41, N = 4SE +/- 0.45, N = 4692.9672.2666.8660.4660.3609.5555.7515.4-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D120240360480600Min: 689.8 / Avg: 692.9 / Max: 699.1Min: 666.6 / Avg: 672.18 / Max: 675.7Min: 665.7 / Avg: 666.75 / Max: 668.4Min: 657.4 / Avg: 660.35 / Max: 662.3Min: 655.3 / Avg: 660.3 / Max: 666.1Min: 604.9 / Avg: 609.45 / Max: 614Min: 549.8 / Avg: 555.68 / Max: 568.8Min: 514.3 / Avg: 515.38 / Max: 516.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression SpeedRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500SE +/- 1.97, N = 3SE +/- 2.20, N = 3SE +/- 2.98, N = 3SE +/- 1.67, N = 3SE +/- 1.22, N = 3SE +/- 2.34, N = 3SE +/- 3.47, N = 3SE +/- 1.74, N = 31485.41420.01409.31336.81329.21322.71292.81111.5-llz4-llz4-llz4-llz4-llz4-llz4-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression SpeedRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500Min: 1482.1 / Avg: 1485.37 / Max: 1488.9Min: 1417.7 / Avg: 1420 / Max: 1424.4Min: 1405.2 / Avg: 1409.3 / Max: 1415.1Min: 1333.6 / Avg: 1336.83 / Max: 1339.2Min: 1327.2 / Avg: 1329.2 / Max: 1331.4Min: 1320.1 / Avg: 1322.73 / Max: 1327.4Min: 1285.9 / Avg: 1292.8 / Max: 1296.9Min: 1109.3 / Avg: 1111.47 / Max: 1114.91. (CC) gcc options: -O3 -pthread -lz -llzma

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D510152025SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 4SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 322.4221.6021.4621.1820.0419.9817.0716.811. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D510152025Min: 22.36 / Avg: 22.42 / Max: 22.47Min: 21.46 / Avg: 21.6 / Max: 21.72Min: 21.2 / Avg: 21.46 / Max: 21.79Min: 21.12 / Avg: 21.18 / Max: 21.22Min: 19.65 / Avg: 20.04 / Max: 20.69Min: 19.85 / Avg: 19.98 / Max: 20.21Min: 16.91 / Avg: 17.07 / Max: 17.15Min: 16.79 / Avg: 16.81 / Max: 16.831. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 9 7900XRyzen 7 7700XCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D246810SE +/- 0.008, N = 6SE +/- 0.001, N = 6SE +/- 0.020, N = 6SE +/- 0.012, N = 6SE +/- 0.018, N = 6SE +/- 0.025, N = 6SE +/- 0.004, N = 6SE +/- 0.003, N = 56.4236.4296.5806.6696.8726.9248.2168.562
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 9 7900XRyzen 7 7700XCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D3691215Min: 6.4 / Avg: 6.42 / Max: 6.44Min: 6.43 / Avg: 6.43 / Max: 6.43Min: 6.52 / Avg: 6.58 / Max: 6.65Min: 6.61 / Avg: 6.67 / Max: 6.69Min: 6.8 / Avg: 6.87 / Max: 6.93Min: 6.83 / Avg: 6.92 / Max: 6.99Min: 8.21 / Avg: 8.22 / Max: 8.24Min: 8.55 / Avg: 8.56 / Max: 8.57

Gcrypt Library

Libgcrypt is a general purpose cryptographic library developed as part of the GnuPG project. This is a benchmark of libgcrypt's integrated benchmark and is measuring the time to run the benchmark command with a cipher/mac/hash repetition count set for 50 times as simple, high level look at the overall crypto performance of the system under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9Core i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D4080120160200SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.48, N = 3SE +/- 0.66, N = 3SE +/- 0.31, N = 3SE +/- 0.27, N = 3SE +/- 0.24, N = 3SE +/- 0.09, N = 3137.18142.80144.14146.39146.98157.57173.50182.351. (CC) gcc options: -O2 -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9Core i9 13900KRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D306090120150Min: 137.02 / Avg: 137.18 / Max: 137.3Min: 142.52 / Avg: 142.8 / Max: 143.16Min: 143.32 / Avg: 144.14 / Max: 145Min: 145.09 / Avg: 146.39 / Max: 147.29Min: 146.41 / Avg: 146.98 / Max: 147.47Min: 157.03 / Avg: 157.57 / Max: 157.86Min: 173.05 / Avg: 173.5 / Max: 173.87Min: 182.21 / Avg: 182.35 / Max: 182.531. (CC) gcc options: -O2 -fvisibility=hidden

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D20406080100SE +/- 0.01, N = 3SE +/- 0.88, N = 3SE +/- 0.93, N = 3SE +/- 0.78, N = 3SE +/- 0.45, N = 3SE +/- 0.15, N = 3SE +/- 0.98, N = 3SE +/- 0.38, N = 382.9678.5278.4875.9772.4270.2069.2362.411. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D1632486480Min: 82.93 / Avg: 82.96 / Max: 82.98Min: 76.77 / Avg: 78.52 / Max: 79.54Min: 76.64 / Avg: 78.48 / Max: 79.68Min: 74.79 / Avg: 75.97 / Max: 77.45Min: 71.68 / Avg: 72.42 / Max: 73.22Min: 69.89 / Avg: 70.2 / Max: 70.35Min: 67.39 / Avg: 69.23 / Max: 70.74Min: 61.65 / Avg: 62.41 / Max: 62.81. (CC) gcc options: -O3

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark that is part of libjpeg-turbo, a JPEG image codec library optimized for SIMD instructions on modern CPU architectures. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.1.0Test: Decompression ThroughputRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D70140210280350SE +/- 0.76, N = 3SE +/- 0.60, N = 3SE +/- 0.28, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 2.40, N = 3SE +/- 0.72, N = 3SE +/- 0.17, N = 3336.97335.95335.52327.78314.28311.90267.38254.471. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.1.0Test: Decompression ThroughputRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 7950X3DRyzen 9 5950XRyzen 7 5800X3D60120180240300Min: 335.45 / Avg: 336.97 / Max: 337.81Min: 334.75 / Avg: 335.95 / Max: 336.58Min: 335.2 / Avg: 335.52 / Max: 336.08Min: 327.43 / Avg: 327.78 / Max: 327.95Min: 314.03 / Avg: 314.28 / Max: 314.44Min: 308.67 / Avg: 311.9 / Max: 316.59Min: 265.93 / Avg: 267.38 / Max: 268.11Min: 254.15 / Avg: 254.47 / Max: 254.751. (CC) gcc options: -O3 -rdynamic

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 9 7900XRyzen 9 7950XRyzen 7 7700XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D246810SE +/- 0.011, N = 8SE +/- 0.018, N = 8SE +/- 0.005, N = 8SE +/- 0.011, N = 8SE +/- 0.007, N = 7SE +/- 0.016, N = 7SE +/- 0.041, N = 7SE +/- 0.014, N = 74.5694.5724.6394.7625.0905.2395.6096.0491. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 9 7900XRyzen 9 7950XRyzen 7 7700XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D246810Min: 4.55 / Avg: 4.57 / Max: 4.64Min: 4.5 / Avg: 4.57 / Max: 4.64Min: 4.63 / Avg: 4.64 / Max: 4.66Min: 4.74 / Avg: 4.76 / Max: 4.83Min: 5.07 / Avg: 5.09 / Max: 5.13Min: 5.15 / Avg: 5.24 / Max: 5.27Min: 5.51 / Avg: 5.61 / Max: 5.79Min: 6 / Avg: 6.05 / Max: 6.11. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -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 0.14Test: Random ForestRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D100200300400500SE +/- 2.62, N = 3SE +/- 0.37, N = 3SE +/- 1.62, N = 3SE +/- 1.04, N = 3SE +/- 1.84, N = 3SE +/- 0.96, N = 3SE +/- 2.59, N = 3SE +/- 1.52, N = 3366.8372.9374.6384.5395.5399.8471.2482.9MIN: 336.9 / MAX: 437.95MIN: 339.45 / MAX: 443.96MIN: 341.29 / MAX: 455.98MIN: 342.72 / MAX: 453.16MIN: 347.88 / MAX: 470.95MIN: 371.17 / MAX: 472.8MIN: 425.96 / MAX: 560.03MIN: 439.29 / MAX: 566.64
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Random ForestRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D90180270360450Min: 363.39 / Avg: 366.76 / Max: 371.91Min: 372.3 / Avg: 372.89 / Max: 373.56Min: 371.35 / Avg: 374.58 / Max: 376.46Min: 382.55 / Avg: 384.52 / Max: 386.06Min: 392.59 / Avg: 395.55 / Max: 398.93Min: 397.91 / Avg: 399.81 / Max: 401.02Min: 466.7 / Avg: 471.18 / Max: 475.68Min: 479.83 / Avg: 482.87 / Max: 484.51

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Ryzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D48121620SE +/- 0.06, N = 12SE +/- 0.05, N = 15SE +/- 0.10, N = 15SE +/- 0.01, N = 12SE +/- 0.16, N = 15SE +/- 0.10, N = 12SE +/- 0.06, N = 11SE +/- 0.03, N = 1117.3817.3017.2616.8516.7816.3914.0113.221. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Ryzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D48121620Min: 17.13 / Avg: 17.38 / Max: 17.82Min: 16.66 / Avg: 17.3 / Max: 17.4Min: 15.92 / Avg: 17.26 / Max: 17.56Min: 16.76 / Avg: 16.85 / Max: 16.93Min: 15.57 / Avg: 16.78 / Max: 17.39Min: 15.76 / Avg: 16.39 / Max: 16.64Min: 13.83 / Avg: 14.01 / Max: 14.42Min: 13.06 / Avg: 13.22 / Max: 13.361. (CC) gcc options: -fvisibility=hidden -O2 -lm

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D20406080100SE +/- 0.05, N = 3SE +/- 0.75, N = 3SE +/- 0.76, N = 6SE +/- 0.90, N = 3SE +/- 0.50, N = 13SE +/- 0.65, N = 15SE +/- 0.58, N = 3SE +/- 0.76, N = 385.1379.2779.0878.1573.6072.7570.3165.021. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D1632486480Min: 85.03 / Avg: 85.13 / Max: 85.18Min: 78.05 / Avg: 79.27 / Max: 80.65Min: 77.91 / Avg: 79.08 / Max: 82.83Min: 76.47 / Avg: 78.15 / Max: 79.56Min: 71.74 / Avg: 73.6 / Max: 78.79Min: 69.27 / Avg: 72.75 / Max: 78.49Min: 69.3 / Avg: 70.31 / Max: 71.32Min: 63.5 / Avg: 65.02 / Max: 65.851. (CC) gcc options: -O3

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D1.24882.49763.74644.99526.244SE +/- 0.02, N = 8SE +/- 0.01, N = 8SE +/- 0.01, N = 8SE +/- 0.00, N = 8SE +/- 0.06, N = 15SE +/- 0.02, N = 7SE +/- 0.02, N = 7SE +/- 0.01, N = 75.555.455.445.315.275.064.534.251. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D246810Min: 5.5 / Avg: 5.55 / Max: 5.61Min: 5.43 / Avg: 5.45 / Max: 5.47Min: 5.41 / Avg: 5.44 / Max: 5.47Min: 5.3 / Avg: 5.31 / Max: 5.33Min: 4.87 / Avg: 5.27 / Max: 5.5Min: 4.97 / Avg: 5.06 / Max: 5.1Min: 4.5 / Avg: 4.53 / Max: 4.63Min: 4.21 / Avg: 4.25 / Max: 4.291. (CC) gcc options: -fvisibility=hidden -O2 -lm

Unpacking The Linux Kernel

This test measures how long it takes to extract the .tar.xz Linux kernel source tree package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernel 5.19linux-5.19.tar.xzRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D1.09462.18923.28384.37845.473SE +/- 0.021, N = 8SE +/- 0.022, N = 8SE +/- 0.002, N = 8SE +/- 0.021, N = 20SE +/- 0.027, N = 20SE +/- 0.005, N = 8SE +/- 0.027, N = 7SE +/- 0.006, N = 73.7323.7793.7913.7924.0414.1534.5854.865
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernel 5.19linux-5.19.tar.xzRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D246810Min: 3.67 / Avg: 3.73 / Max: 3.81Min: 3.71 / Avg: 3.78 / Max: 3.86Min: 3.78 / Avg: 3.79 / Max: 3.8Min: 3.66 / Avg: 3.79 / Max: 3.98Min: 3.74 / Avg: 4.04 / Max: 4.18Min: 4.14 / Avg: 4.15 / Max: 4.17Min: 4.44 / Avg: 4.59 / Max: 4.64Min: 4.84 / Avg: 4.87 / Max: 4.89

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D3691215SE +/- 0.03, N = 5SE +/- 0.07, N = 5SE +/- 0.01, N = 5SE +/- 0.06, N = 20SE +/- 0.06, N = 4SE +/- 0.02, N = 4SE +/- 0.06, N = 4SE +/- 0.05, N = 410.0410.0410.1910.2010.8910.9712.3513.05
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzRyzen 9 7950XRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900X3DCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D48121620Min: 9.94 / Avg: 10.04 / Max: 10.15Min: 9.94 / Avg: 10.04 / Max: 10.31Min: 10.17 / Avg: 10.19 / Max: 10.24Min: 9.89 / Avg: 10.2 / Max: 10.72Min: 10.79 / Avg: 10.89 / Max: 11.07Min: 10.92 / Avg: 10.96 / Max: 11Min: 12.18 / Avg: 12.35 / Max: 12.46Min: 12.95 / Avg: 13.05 / Max: 13.18

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 7 7700XCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X918273645SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 329.3529.8133.0733.0933.8735.2537.2137.80
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 7 7700XCore i9 13900KRyzen 9 7900XRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X816243240Min: 29.31 / Avg: 29.35 / Max: 29.41Min: 29.55 / Avg: 29.81 / Max: 29.99Min: 32.88 / Avg: 33.07 / Max: 33.22Min: 32.85 / Avg: 33.09 / Max: 33.35Min: 33.53 / Avg: 33.87 / Max: 34.14Min: 35.07 / Avg: 35.25 / Max: 35.36Min: 37.05 / Avg: 37.21 / Max: 37.37Min: 37.62 / Avg: 37.8 / Max: 37.99

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: IO_uringCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 7900XRyzen 7 7700X7K14K21K28K35KSE +/- 397.29, N = 15SE +/- 429.48, N = 12SE +/- 461.56, N = 12SE +/- 746.94, N = 12SE +/- 433.42, N = 14SE +/- 249.82, N = 15SE +/- 431.79, N = 12SE +/- 280.27, N = 1433506.3432093.1931689.5830771.8528970.2428761.7828439.1226079.731. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: IO_uringCore i9 13900KRyzen 9 7950X3DRyzen 9 7950XRyzen 9 5950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 7900XRyzen 7 7700X6K12K18K24K30KMin: 29140.28 / Avg: 33506.34 / Max: 34330.51Min: 28070.42 / Avg: 32093.19 / Max: 34743.88Min: 27596.36 / Avg: 31689.58 / Max: 33922.93Min: 27268.39 / Avg: 30771.85 / Max: 36323.63Min: 26080.93 / Avg: 28970.24 / Max: 32069.67Min: 26978.77 / Avg: 28761.78 / Max: 30764.97Min: 26167.77 / Avg: 28439.12 / Max: 31368.62Min: 24146.36 / Avg: 26079.73 / Max: 27780.961. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D1020304050SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.26, N = 3SE +/- 0.43, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 335.4136.4238.1938.3139.5839.8044.5045.27
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurCore i9 13900KRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 7 5800X3D918273645Min: 35.22 / Avg: 35.41 / Max: 35.54Min: 36.4 / Avg: 36.42 / Max: 36.45Min: 38.02 / Avg: 38.19 / Max: 38.36Min: 38.15 / Avg: 38.31 / Max: 38.4Min: 39.06 / Avg: 39.58 / Max: 39.88Min: 38.95 / Avg: 39.8 / Max: 40.26Min: 44.25 / Avg: 44.5 / Max: 44.64Min: 45.25 / Avg: 45.27 / Max: 45.29

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: LionRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950XRyzen 7 5800X3DRyzen 9 5950X8001600240032004000SE +/- 8.03, N = 8SE +/- 2.26, N = 8SE +/- 4.74, N = 8SE +/- 3.08, N = 8SE +/- 27.97, N = 15SE +/- 2.58, N = 8SE +/- 3.96, N = 8SE +/- 5.36, N = 7314332393448350235333559361639311. (CXX) g++ options: -O3
OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: LionRyzen 9 7950X3DCore i9 13900KRyzen 9 7900XRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950XRyzen 7 5800X3DRyzen 9 5950X7001400210028003500Min: 3111 / Avg: 3142.63 / Max: 3165Min: 3229 / Avg: 3239.13 / Max: 3247Min: 3429 / Avg: 3448.13 / Max: 3474Min: 3490 / Avg: 3502.38 / Max: 3517Min: 3148 / Avg: 3533.27 / Max: 3586Min: 3548 / Avg: 3559.13 / Max: 3568Min: 3605 / Avg: 3615.88 / Max: 3640Min: 3911 / Avg: 3931.14 / Max: 39541. (CXX) g++ options: -O3

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7950XCore i9 13900K60120180240300Min: 11.08 / Avg: 76.03 / Max: 120.04Min: 9.55 / Avg: 80.83 / Max: 143.74Min: 9.26 / Avg: 92.93 / Max: 147.76Min: 7.99 / Avg: 93.16 / Max: 145.39Min: 2.06 / Avg: 111.33 / Max: 151.5Min: 9.68 / Avg: 123.95 / Max: 220.03Min: 9.26 / Avg: 134.06 / Max: 235.78Min: 5.12 / Avg: 135.05 / Max: 326.64

Stress-NG

OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption MonitorRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 7950X3DCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 5950X306090120150Min: 20.46 / Avg: 64.53 / Max: 80Min: 19.6 / Avg: 69.06 / Max: 107.41Min: 14.08 / Avg: 69.36 / Max: 88.35Min: 10.19 / Avg: 80.65 / Max: 139.77Min: 17.12 / Avg: 83.48 / Max: 109.88Min: 17.14 / Avg: 92.41 / Max: 118.22Min: 19.87 / Avg: 106.48 / Max: 135.9Min: 20.81 / Avg: 119.03 / Max: 145.7

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: CPU CacheRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D0.59361.18721.78082.37442.9682.6382.1951.8931.7341.6211.0861.0070.353

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU CacheRyzen 9 7950XRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XCore i9 13900KRyzen 7 5800X3D4080120160200SE +/- 0.89, N = 3SE +/- 2.45, N = 15SE +/- 1.82, N = 4SE +/- 1.53, N = 3SE +/- 8.82, N = 14SE +/- 1.87, N = 12SE +/- 1.63, N = 15SE +/- 0.71, N = 15184.67182.97158.05149.81141.63119.9287.6224.381. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU CacheRyzen 9 7950XRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 5950XCore i9 13900KRyzen 7 5800X3D306090120150Min: 183.32 / Avg: 184.67 / Max: 186.36Min: 171.82 / Avg: 182.97 / Max: 202.66Min: 152.63 / Avg: 158.05 / Max: 160.49Min: 146.79 / Avg: 149.81 / Max: 151.72Min: 28.03 / Avg: 141.63 / Max: 159.42Min: 109.32 / Avg: 119.92 / Max: 132.43Min: 74.58 / Avg: 87.62 / Max: 96.65Min: 20.26 / Avg: 24.38 / Max: 32.171. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption MonitorRyzen 9 7900X3DRyzen 7 5800X3DRyzen 7 7700XRyzen 9 7950X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7950XCore i9 13900K50100150200250Min: 18.63 / Avg: 98.13 / Max: 112.71Min: 23.3 / Avg: 108.11 / Max: 120.8Min: 17.86 / Avg: 113.9 / Max: 131.84Min: 17.67 / Avg: 117.19 / Max: 135.53Min: 21.02 / Avg: 131.26 / Max: 145.76Min: 19.33 / Avg: 170.14 / Max: 195.08Min: 18.07 / Avg: 192.75 / Max: 226.56Min: 10.4 / Avg: 195.75 / Max: 287.23

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Socket ActivityRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 5950XRyzen 7 5800X3D70140210280350299.31253.60184.11168.24166.23139.08131.04114.72

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Socket ActivityRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D8K16K24K32K40KSE +/- 317.27, N = 15SE +/- 238.95, N = 3SE +/- 322.27, N = 15SE +/- 958.61, N = 12SE +/- 438.83, N = 15SE +/- 179.13, N = 3SE +/- 490.12, N = 15SE +/- 129.05, N = 335077.3032428.3228282.5027224.2424884.9420969.8217199.3612402.401. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Socket ActivityRyzen 9 7950X3DRyzen 9 7950XRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D6K12K18K24K30KMin: 33104.02 / Avg: 35077.3 / Max: 37643.96Min: 32048.75 / Avg: 32428.32 / Max: 32869.56Min: 25984.92 / Avg: 28282.5 / Max: 30949.41Min: 21838.84 / Avg: 27224.24 / Max: 31373.91Min: 22741.64 / Avg: 24884.94 / Max: 29698.41Min: 20649.2 / Avg: 20969.82 / Max: 21268.58Min: 15934.21 / Avg: 17199.36 / Max: 21735.78Min: 12163.7 / Avg: 12402.4 / Max: 12606.791. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Himeno Benchmark

OpenBenchmarking.orgWatts, Fewer Is BetterHimeno Benchmark 3.0CPU Power Consumption MonitorRyzen 9 7950X3DRyzen 7 7700XRyzen 7 5800X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 5950XRyzen 9 7900XRyzen 9 7950X1224364860Min: 16.98 / Avg: 39.42 / Max: 41.62Min: 17.67 / Avg: 39.69 / Max: 42.82Min: 17.35 / Avg: 43.07 / Max: 47.03Min: 10.01 / Avg: 43.15 / Max: 48.35Min: 19.34 / Avg: 52.58 / Max: 58.13Min: 16.62 / Avg: 55.65 / Max: 62.4Min: 19.46 / Avg: 56.94 / Max: 61.05Min: 17.92 / Avg: 58.17 / Max: 62.34

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X50100150200250240.92124.14116.60115.5395.1392.6587.9587.09

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCore i9 13900KRyzen 9 5950XRyzen 9 7950XRyzen 7 5800X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3D2K4K6K8K10KSE +/- 7.19, N = 3SE +/- 52.25, N = 15SE +/- 94.44, N = 15SE +/- 84.00, N = 15SE +/- 89.06, N = 15SE +/- 89.89, N = 15SE +/- 80.24, N = 15SE +/- 94.70, N = 1210395.525156.195116.095021.845002.034958.554926.854554.181. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCore i9 13900KRyzen 9 5950XRyzen 9 7950XRyzen 7 5800X3DRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950X3D2K4K6K8K10KMin: 10382.02 / Avg: 10395.52 / Max: 10406.54Min: 4737.68 / Avg: 5156.19 / Max: 5386.9Min: 4543.63 / Avg: 5116.09 / Max: 5716.26Min: 4556.76 / Avg: 5021.84 / Max: 5447.6Min: 4458.17 / Avg: 5002.03 / Max: 5643.66Min: 4503.77 / Avg: 4958.55 / Max: 5742.34Min: 4464.97 / Avg: 4926.85 / Max: 5675.01Min: 4244.46 / Avg: 4554.18 / Max: 5319.971. (CC) gcc options: -O3 -mavx2

DaCapo Benchmark

OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption MonitorRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 7700XCore i9 13900KRyzen 7 5800X3DRyzen 9 7900XRyzen 9 7950XRyzen 9 5950X20406080100Min: 19.05 / Avg: 36.88 / Max: 60.78Min: 20.17 / Avg: 37.09 / Max: 59.23Min: 15.8 / Avg: 38.02 / Max: 71.09Min: 10.18 / Avg: 38.37 / Max: 93.56Min: 18.64 / Avg: 43.89 / Max: 75.61Min: 17.86 / Avg: 47.06 / Max: 87.12Min: 17.88 / Avg: 47.07 / Max: 91.88Min: 21.25 / Avg: 61.08 / Max: 111.48

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Core i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X400800120016002000SE +/- 20.58, N = 20SE +/- 27.98, N = 20SE +/- 30.73, N = 20SE +/- 32.07, N = 20SE +/- 24.67, N = 20SE +/- 23.11, N = 20SE +/- 25.88, N = 20SE +/- 41.13, N = 2015711575159716371648170817751872
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Core i9 13900KRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X30060090012001500Min: 1420 / Avg: 1570.75 / Max: 1751Min: 1328 / Avg: 1574.65 / Max: 1747Min: 1391 / Avg: 1596.8 / Max: 1821Min: 1389 / Avg: 1636.6 / Max: 2025Min: 1451 / Avg: 1648.1 / Max: 1908Min: 1514 / Avg: 1708.15 / Max: 1954Min: 1575 / Avg: 1775.45 / Max: 1964Min: 1598 / Avg: 1871.55 / Max: 2204

SVT-AV1

OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption MonitorRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 7700XRyzen 7 5800X3DRyzen 9 7900XRyzen 9 7950XCore i9 13900KRyzen 9 5950X4080120160200Min: 19.5 / Avg: 50.14 / Max: 89.59Min: 19.63 / Avg: 50.29 / Max: 97.23Min: 14.84 / Avg: 61.76 / Max: 117.97Min: 20.79 / Avg: 64.79 / Max: 105.49Min: 18.44 / Avg: 75.43 / Max: 156.8Min: 18.51 / Avg: 78.22 / Max: 173.5Min: 10.15 / Avg: 80.46 / Max: 220.14Min: 20.44 / Avg: 85.03 / Max: 143.42

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XCore i9 13900KRyzen 7 7700XRyzen 9 7900XRyzen 7 5800X3DRyzen 9 5950X0.94211.88422.82633.76844.71054.1873.7572.7512.7382.6752.6581.8221.466

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D50100150200250SE +/- 4.10, N = 15SE +/- 3.52, N = 15SE +/- 3.52, N = 15SE +/- 2.98, N = 15SE +/- 2.41, N = 15SE +/- 1.14, N = 13SE +/- 1.28, N = 15SE +/- 0.67, N = 7220.29215.19210.56200.48188.41165.18124.64118.031. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KCore i9 13900KRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D4080120160200Min: 177.67 / Avg: 220.29 / Max: 229.99Min: 178.27 / Avg: 215.19 / Max: 222.07Min: 176.89 / Avg: 210.56 / Max: 218.03Min: 169.55 / Avg: 200.48 / Max: 206.94Min: 164.55 / Avg: 188.41 / Max: 194.51Min: 155.18 / Avg: 165.18 / Max: 167.55Min: 112.01 / Avg: 124.64 / Max: 128.99Min: 114.27 / Avg: 118.03 / Max: 119.691. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

oneDNN

OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption MonitorRyzen 7 7700XRyzen 9 7900X3DRyzen 9 7950X3DRyzen 7 5800X3DRyzen 9 7900XRyzen 9 5950XRyzen 9 7950XCore i9 13900K4080120160200Min: 16.36 / Avg: 61.14 / Max: 82.65Min: 18.81 / Avg: 65.89 / Max: 106.06Min: 18.62 / Avg: 77.23 / Max: 124.66Min: 20.8 / Avg: 89.14 / Max: 139.3Min: 19.04 / Avg: 98.19 / Max: 198.88Min: 14.24 / Avg: 109.48 / Max: 145.65Min: 17.19 / Avg: 125.49 / Max: 224.18Min: 10.18 / Avg: 138.16 / Max: 229.16

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X0.49050.9811.47151.9622.4525SE +/- 0.000077, N = 4SE +/- 0.000394, N = 4SE +/- 0.004488, N = 15SE +/- 0.007027, N = 12SE +/- 0.019091, N = 15SE +/- 0.009199, N = 4SE +/- 0.000431, N = 4SE +/- 0.117925, N = 150.1286780.1447860.2250970.3343430.7835560.8215590.8254352.179870MIN: 0.55MIN: 0.77-lpthread - MIN: 0.78-lpthread - MIN: 1.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7900XCore i9 13900KRyzen 7 7700XRyzen 7 5800X3DRyzen 9 5950X246810Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.14 / Avg: 0.14 / Max: 0.15Min: 0.19 / Avg: 0.23 / Max: 0.24Min: 0.3 / Avg: 0.33 / Max: 0.37Min: 0.71 / Avg: 0.78 / Max: 0.97Min: 0.8 / Avg: 0.82 / Max: 0.84Min: 0.82 / Avg: 0.83 / Max: 0.83Min: 1.42 / Avg: 2.18 / Max: 2.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X612182430SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 15SE +/- 0.59, N = 15SE +/- 0.57, N = 15SE +/- 0.22, N = 15SE +/- 0.48, N = 15SE +/- 0.22, N = 1514.1814.1915.4615.4916.6916.9224.2224.951. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X612182430Min: 14.08 / Avg: 14.18 / Max: 14.31Min: 14.1 / Avg: 14.19 / Max: 14.3Min: 14.82 / Avg: 15.46 / Max: 17.52Min: 13.27 / Avg: 15.49 / Max: 17.97Min: 14.46 / Avg: 16.69 / Max: 19.31Min: 15.99 / Avg: 16.92 / Max: 17.92Min: 23.18 / Avg: 24.22 / Max: 28.25Min: 23.96 / Avg: 24.95 / Max: 26.261. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X1632486480SE +/- 0.34, N = 3SE +/- 0.29, N = 3SE +/- 2.46, N = 15SE +/- 0.88, N = 15SE +/- 2.05, N = 15SE +/- 0.77, N = 15SE +/- 0.75, N = 15SE +/- 0.35, N = 1570.5270.4765.8564.8560.9259.2341.5040.131. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XCore i9 13900KRyzen 7 5800X3DRyzen 9 5950X1428425670Min: 69.88 / Avg: 70.52 / Max: 71.02Min: 69.93 / Avg: 70.47 / Max: 70.9Min: 55.64 / Avg: 65.85 / Max: 75.34Min: 57.06 / Avg: 64.85 / Max: 67.47Min: 51.78 / Avg: 60.92 / Max: 69.16Min: 55.8 / Avg: 59.23 / Max: 62.53Min: 35.4 / Avg: 41.5 / Max: 43.13Min: 38.08 / Avg: 40.13 / Max: 41.741. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K20406080100SE +/- 0.15, N = 3SE +/- 0.93, N = 12SE +/- 0.72, N = 15SE +/- 1.61, N = 15SE +/- 1.17, N = 15SE +/- 0.03, N = 3SE +/- 1.04, N = 15SE +/- 0.05, N = 321.8224.3425.4726.5227.2231.1935.62107.521. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K20406080100Min: 21.52 / Avg: 21.82 / Max: 22.01Min: 23.3 / Avg: 24.34 / Max: 34.58Min: 20.8 / Avg: 25.47 / Max: 27.98Min: 22.46 / Avg: 26.52 / Max: 37.9Min: 21.98 / Avg: 27.22 / Max: 31.99Min: 31.14 / Avg: 31.19 / Max: 31.23Min: 30.06 / Avg: 35.62 / Max: 39.6Min: 107.45 / Avg: 107.52 / Max: 107.611. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K1020304050SE +/- 0.32106, N = 3SE +/- 1.15133, N = 12SE +/- 1.24791, N = 15SE +/- 1.89747, N = 15SE +/- 1.65085, N = 15SE +/- 0.02848, N = 3SE +/- 0.85477, N = 15SE +/- 0.00412, N = 345.8342041.5649039.7595039.3083037.7328032.0580028.420709.300161. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardRyzen 9 7950X3DRyzen 9 7900X3DRyzen 9 7950XRyzen 7 7700XRyzen 9 7900XRyzen 7 5800X3DRyzen 9 5950XCore i9 13900K918273645Min: 45.44 / Avg: 45.83 / Max: 46.47Min: 28.92 / Avg: 41.56 / Max: 42.92Min: 35.74 / Avg: 39.76 / Max: 48.08Min: 26.38 / Avg: 39.31 / Max: 44.51Min: 31.26 / Avg: 37.73 / Max: 45.49Min: 32.02 / Avg: 32.06 / Max: 32.11Min: 25.25 / Avg: 28.42 / Max: 33.26Min: 9.29 / Avg: 9.3 / Max: 9.311. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 7 5800X3DRyzen 9 7900X3DRyzen 9 5950X1428425670SE +/- 0.37, N = 3SE +/- 0.10, N = 3SE +/- 1.88, N = 15SE +/- 4.38, N = 15SE +/- 1.83, N = 12SE +/- 0.34, N = 3SE +/- 3.02, N = 15SE +/- 1.70, N = 1548.2549.2953.8055.5956.3160.0661.1663.691. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 7950XRyzen 7 5800X3DRyzen 9 7900X3DRyzen 9 5950X1224364860Min: 47.53 / Avg: 48.25 / Max: 48.73Min: 49.16 / Avg: 49.29 / Max: 49.48Min: 50.33 / Avg: 53.8 / Max: 74.33Min: 45.59 / Avg: 55.59 / Max: 82.81Min: 46.87 / Avg: 56.31 / Max: 64.02Min: 59.49 / Avg: 60.06 / Max: 60.67Min: 53.1 / Avg: 61.16 / Max: 82.9Min: 58.19 / Avg: 63.69 / Max: 76.311. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X510152025SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 1.16, N = 15SE +/- 0.52, N = 15SE +/- 0.60, N = 12SE +/- 0.69, N = 15SE +/- 0.09, N = 3SE +/- 0.38, N = 1520.7320.2919.2618.8417.9716.8316.6515.841. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardCore i9 13900KRyzen 9 7950X3DRyzen 7 7700XRyzen 9 7900XRyzen 9 7950XRyzen 9 7900X3DRyzen 7 5800X3DRyzen 9 5950X510152025Min: 20.52 / Avg: 20.73 / Max: 21.04Min: 20.21 / Avg: 20.29 / Max: 20.34Min: 12.08 / Avg: 19.26 / Max: 21.93Min: 13.45 / Avg: 18.84 / Max: 19.87Min: 15.62 / Avg: 17.97 / Max: 21.34Min: 12.06 / Avg: 16.83 / Max: 18.83Min: 16.48 / Avg: 16.65 / Max: 16.81Min: 13.1 / Avg: 15.84 / Max: 17.191. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215SE +/- 0.14482, N = 15SE +/- 0.00590, N = 3SE +/- 0.00550, N = 3SE +/- 0.37711, N = 15SE +/- 0.56979, N = 15SE +/- 0.04597, N = 3SE +/- 0.53809, N = 15SE +/- 0.00201, N = 34.609714.711795.464607.003299.076269.5719610.3543810.722501. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K3691215Min: 4.31 / Avg: 4.61 / Max: 6.02Min: 4.7 / Avg: 4.71 / Max: 4.72Min: 5.46 / Avg: 5.46 / Max: 5.47Min: 6.02 / Avg: 7 / Max: 9.68Min: 6.49 / Avg: 9.08 / Max: 11.06Min: 9.48 / Avg: 9.57 / Max: 9.64Min: 8.8 / Avg: 10.35 / Max: 14.57Min: 10.72 / Avg: 10.72 / Max: 10.731. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K50100150200250SE +/- 5.71, N = 15SE +/- 0.27, N = 3SE +/- 0.18, N = 3SE +/- 6.73, N = 15SE +/- 8.00, N = 15SE +/- 0.50, N = 3SE +/- 4.42, N = 15SE +/- 0.02, N = 3219.43212.22182.99147.84117.19104.4799.7693.261. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3DCore i9 13900K4080120160200Min: 166.1 / Avg: 219.43 / Max: 231.92Min: 211.88 / Avg: 212.22 / Max: 212.74Min: 182.66 / Avg: 182.99 / Max: 183.29Min: 103.3 / Avg: 147.84 / Max: 166.18Min: 90.4 / Avg: 117.19 / Max: 153.99Min: 103.72 / Avg: 104.47 / Max: 105.43Min: 68.64 / Avg: 99.76 / Max: 113.61Min: 93.23 / Avg: 93.26 / Max: 93.291. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D130260390520650SE +/- 0.45, N = 3SE +/- 0.29, N = 3SE +/- 0.41, N = 3SE +/- 4.49, N = 3SE +/- 23.34, N = 15SE +/- 5.30, N = 3SE +/- 27.51, N = 15SE +/- 14.25, N = 12274.42276.86335.15352.68402.93467.04558.84598.451. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D110220330440550Min: 273.81 / Avg: 274.42 / Max: 275.31Min: 276.31 / Avg: 276.86 / Max: 277.31Min: 334.52 / Avg: 335.15 / Max: 335.92Min: 348.07 / Avg: 352.68 / Max: 361.67Min: 342.61 / Avg: 402.93 / Max: 590.93Min: 461.08 / Avg: 467.04 / Max: 477.61Min: 464.24 / Avg: 558.84 / Max: 689.06Min: 564.19 / Avg: 598.45 / Max: 723.021. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D0.81991.63982.45973.27964.0995SE +/- 0.00601, N = 3SE +/- 0.00385, N = 3SE +/- 0.00365, N = 3SE +/- 0.03569, N = 3SE +/- 0.12021, N = 15SE +/- 0.02403, N = 3SE +/- 0.08488, N = 15SE +/- 0.03603, N = 123.644003.611932.983742.836292.578522.141681.847901.680371. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7950X3DCore i9 13900KRyzen 9 7900X3DRyzen 9 7900XRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D246810Min: 3.63 / Avg: 3.64 / Max: 3.65Min: 3.61 / Avg: 3.61 / Max: 3.62Min: 2.98 / Avg: 2.98 / Max: 2.99Min: 2.76 / Avg: 2.84 / Max: 2.87Min: 1.69 / Avg: 2.58 / Max: 2.92Min: 2.09 / Avg: 2.14 / Max: 2.17Min: 1.45 / Avg: 1.85 / Max: 2.15Min: 1.38 / Avg: 1.68 / Max: 1.771. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

Geometric Mean Of All Test Results

OpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult Composite - AMD Ryzen 9 7900X3D Linux Review BenchmarksRyzen 9 7950XRyzen 9 7950X3DRyzen 9 7900XCore i9 13900KRyzen 9 7900X3DRyzen 7 7700XRyzen 9 5950XRyzen 7 5800X3D122436486051.4649.9045.6845.0043.8239.4732.7828.38

406 Results Shown

Cpuminer-Opt
OpenVINO:
  Weld Porosity Detection FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Face Detection FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
Stress-NG
OpenVINO
oneDNN
OpenVINO
OSPRay:
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/ao/real_time
OpenVINO
oneDNN
Pennant
OpenVINO:
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Person Detection FP16 - CPU
oneDNN
Cpuminer-Opt
OpenVINO:
  Machine Translation EN To DE FP16 - CPU
  Vehicle Detection FP16 - CPU
oneDNN
Cpuminer-Opt
oneDNN
OpenVINO
oneDNN
Cpuminer-Opt
ASKAP
OpenVINO
ASKAP
OSPRay
Xcompact3d Incompact3d
Cpuminer-Opt
OpenVINO
RocksDB
OpenVINO
OSPRay Studio:
  1 - 1080p - 32 - Path Tracer
  2 - 1080p - 32 - Path Tracer
  3 - 1080p - 32 - Path Tracer
NCNN
OpenVINO
GraphicsMagick
Stress-NG
OSPRay Studio:
  1 - 1080p - 1 - Path Tracer
  1 - 4K - 1 - Path Tracer
  2 - 4K - 1 - Path Tracer
  2 - 1080p - 1 - Path Tracer
ASKAP
OSPRay Studio:
  3 - 4K - 1 - Path Tracer
  3 - 1080p - 1 - Path Tracer
  1 - 4K - 32 - Path Tracer
  2 - 4K - 32 - Path Tracer
  3 - 4K - 32 - Path Tracer
Darktable
Xcompact3d Incompact3d
OpenVINO
Primesieve
Stress-NG
LuxCoreRender
NAMD
OpenVINO
OpenFOAM
Primesieve
Renaissance
LuxCoreRender
Blender
ASKAP
Blender
Stress-NG
NCNN
SVT-VP9:
  VMAF Optimized - Bosphorus 4K
  Visual Quality Optimized - Bosphorus 1080p
OpenVINO
SVT-VP9
OSPRay
OpenVINO
Stress-NG
OSPRay
Stress-NG
OpenVINO
Cpuminer-Opt
Blender
BRL-CAD
Timed Linux Kernel Compilation
Liquid-DSP
Blender
OpenVKL
Chaos Group V-RAY
SVT-HEVC
Blender
ASTC Encoder
Embree
ASTC Encoder
LuxCoreRender
Tachyon
SVT-VP9
Cpuminer-Opt
ASTC Encoder
Pennant
Darktable
SVT-HEVC
Appleseed
SVT-VP9
KTX-Software toktx
oneDNN
ASTC Encoder
oneDNN
LuxCoreRender
SVT-VP9
Timed LLVM Compilation
ONNX Runtime
NCNN
Darktable
Stargate Digital Audio Workstation
Node.js Express HTTP Load Test
GraphicsMagick
IndigoBench
NCNN
Stargate Digital Audio Workstation
Liquid-DSP
7-Zip Compression
Stress-NG
LeelaChessZero
Timed Godot Game Engine Compilation
LeelaChessZero
Kvazaar
Embree
ASKAP
Kvazaar
Sysbench
Zstd Compression
Cpuminer-Opt
Timed Linux Kernel Compilation
Timed MPlayer Compilation
Stress-NG
Stargate Digital Audio Workstation
NCNN
ACES DGEMM
Xmrig
GPAW
Cpuminer-Opt
Stargate Digital Audio Workstation
SVT-HEVC
Stargate Digital Audio Workstation
SVT-HEVC
LAMMPS Molecular Dynamics Simulator
libavif avifenc
NCNN
N-Queens
IndigoBench
Zstd Compression
Numenta Anomaly Benchmark
SVT-HEVC
Timed FFmpeg Compilation
Stargate Digital Audio Workstation
Timed LLVM Compilation
x264
High Performance Conjugate Gradient
LAMMPS Molecular Dynamics Simulator
SVT-HEVC
Cpuminer-Opt
GROMACS
Timed Mesa Compilation
Stargate Digital Audio Workstation
GraphicsMagick
ClickHouse
Zstd Compression
ClickHouse
Kvazaar
LULESH
m-queens
Appleseed
Build2
7-Zip Compression
Kvazaar
ClickHouse
NCNN
TensorFlow Lite
Stargate Digital Audio Workstation
x265
Embree
NCNN:
  CPU - resnet50
  CPU-v3-v3 - mobilenet-v3
libavif avifenc
OpenVKL
TensorFlow Lite
GraphicsMagick
NCNN
Darktable
OSPRay
KTX-Software toktx
Numenta Anomaly Benchmark
GraphicsMagick
Kvazaar
Numenta Anomaly Benchmark
RocksDB
LuaRadio
Numenta Anomaly Benchmark
Algebraic Multi-Grid Benchmark
x264
libavif avifenc
Xmrig
SVT-AV1
libavif avifenc
NCNN
Embree
AOM AV1:
  Speed 0 Two-Pass - Bosphorus 1080p
  Speed 10 Realtime - Bosphorus 1080p
LuxCoreRender
Cpuminer-Opt
SVT-AV1:
  Preset 8 - Bosphorus 1080p
  Preset 8 - Bosphorus 4K
AOM AV1
Stress-NG
Kvazaar
dav1d
NCNN
OpenVINO
SVT-AV1
NCNN
Kvazaar
Numenta Anomaly Benchmark
Appleseed
Renaissance
RocksDB
Renaissance
NCNN
Zstd Compression
Timed MrBayes Analysis
AOM AV1
Numenta Anomaly Benchmark
srsRAN
Natron
simdjson
PyHPC Benchmarks
simdjson:
  PartialTweets
  DistinctUserID
AOM AV1
Kvazaar:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
DaCapo Benchmark
Kvazaar
AOM AV1
Renaissance
PHPBench
NCNN
TNN
AOM AV1
NCNN
RocksDB
AOM AV1
TNN
AOM AV1:
  Speed 8 Realtime - Bosphorus 1080p
  Speed 10 Realtime - Bosphorus 4K
TensorFlow Lite
RocksDB
NCNN
KTX-Software toktx
AOM AV1:
  Speed 6 Two-Pass - Bosphorus 4K
  Speed 6 Two-Pass - Bosphorus 1080p
PyHPC Benchmarks
AOM AV1:
  Speed 8 Realtime - Bosphorus 4K
  Speed 4 Two-Pass - Bosphorus 1080p
PyBench
libavif avifenc
OpenFOAM
PyHPC Benchmarks
WireGuard + Linux Networking Stack Stress Test
x265
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 4 - Bosphorus 1080p
GraphicsMagick
PyHPC Benchmarks
rav1e
simdjson
RawTherapee
LuaRadio
TNN
dav1d
ONNX Runtime
DeepSpeech
Numpy Benchmark
GEGL
RocksDB
TNN
Renaissance
Selenium
Node.js V8 Web Tooling Benchmark
Renaissance
rav1e
simdjson
LZ4 Compression
SVT-AV1
Zstd Compression
QuantLib
GIMP
LuaRadio
Selenium
srsRAN
LZ4 Compression
OpenEMS
rav1e
Zstd Compression
LZ4 Compression
Selenium
Liquid-DSP
LZ4 Compression
Zstd Compression
Renaissance
GIMP
srsRAN:
  4G PHY_DL_Test 100 PRB MIMO 256-QAM
  5G PHY_DL_NR Test 52 PRB SISO 64-QAM
Zstd Compression
srsRAN:
  4G PHY_DL_Test 100 PRB SISO 64-QAM
  4G PHY_DL_Test 100 PRB MIMO 64-QAM
GEGL
dav1d
Renaissance
Selenium
rav1e
Zstd Compression
Selenium
SQLite Speedtest
srsRAN
Renaissance
GIMP
KTX-Software toktx
GraphicsMagick
RocksDB
GEGL
Zstd Compression
GEGL
dav1d
Selenium
Zstd Compression:
  19 - Decompression Speed
  19, Long Mode - Compression Speed
GIMP
Radiance Benchmark
Google Draco
LuaRadio
Selenium
WebP Image Encode
Crafty
RNNoise
WebP Image Encode
Dolfyn
GNU Octave Benchmark
VP9 libvpx Encoding
Selenium
GEGL
Zstd Compression
srsRAN
Radiance Benchmark
VP9 libvpx Encoding:
  Speed 5 - Bosphorus 4K
  Speed 0 - Bosphorus 4K
srsRAN
GEGL
srsRAN
WebP Image Encode
srsRAN
Zstd Compression
VP9 libvpx Encoding
GEGL
Gcrypt Library
LZ4 Compression
libjpeg-turbo tjbench
LAME MP3 Encoding
Renaissance
WebP Image Encode
LZ4 Compression
WebP Image Encode
Unpacking The Linux Kernel
Unpacking Firefox
GEGL
Stress-NG
GEGL
Google Draco
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  CPU Power Consumption Monitor
  CPU Cache
Stress-NG
Stress-NG:
  CPU Power Consumption Monitor
  Socket Activity
Stress-NG
Himeno Benchmark:
  CPU Power Consumption Monitor
  Poisson Pressure Solver
Himeno Benchmark
DaCapo Benchmark
DaCapo Benchmark
SVT-AV1:
  CPU Power Consumption Monitor
  Preset 13 - Bosphorus 4K
SVT-AV1
oneDNN
oneDNN
ONNX Runtime:
  Faster R-CNN R-50-FPN-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  ArcFace ResNet-100 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  bertsquad-12 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  super-resolution-10 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  fcn-resnet101-11 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
Geometric Mean Of All Test Results