AMD Ryzen 9 7950X3D Linux Review Benchmarks

AMD Ryzen 9 7950X3D 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 2302260-NE-CPUBENCHM18
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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 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, 3 Hours, 20 Minutes

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AMD Ryzen 9 7950X3D Linux Review BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 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 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (9922 BIOS)AMD Device 14d8Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411AMD 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 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 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 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-queensBuild2AppleseedOpenFOAMx264XmrigLiquid-DSPKvazaarAlgebraic Multi-Grid Benchmarklibavif avifencTensorFlow LiteNumenta Anomaly BenchmarkGraphicsMagickx265NatronTimed MrBayes AnalysisNCNNPHPBenchSVT-AV1KTX-Software toktxRocksDBsimdjsonPyBenchONNX RuntimePyHPC BenchmarksWireGuard + Linux Networking Stack Stress TestTNNRawTherapeeAOM AV1dav1dNumpy BenchmarkNode.js V8 Web Tooling Benchmarkrav1eQuantLibOpenEMSLuaRadioZstd CompressionRenaissanceSQLite SpeedtestDeepSpeechDaCapo BenchmarkSeleniumsrsRANRNNoiseDolfynLZ4 CompressionGNU Octave BenchmarkGoogle DracoCraftyRadiance BenchmarkGEGLGcrypt LibraryLAME MP3 Encodinglibjpeg-turbo tjbenchWebP Image EncodeUnpacking The Linux KernelUnpacking FirefoxGIMPVP9 libvpx Encoding

Core i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3DPer Watt Result OverviewPhoronix Test Suite100%175%250%325%400%GROMACSASKAPLeelaChessZeroNode.js Express HTTP Load TestSVT-VP9Algebraic Multi-Grid BenchmarkOSPRayLULESHHimeno Benchmarkx264ASTC EncoderCpuminer-OptSVT-HEVCXmrigHigh Performance Conjugate GradientStress-NGKvazaarNatronEmbreeStargate Digital Audio WorkstationPHPBenchOpenVKLACES DGEMMSVT-AV1x2657-Zip CompressionLuxCoreRenderLAMMPS Molecular Dynamics SimulatorChaos Group V-RAYBRL-CADAOM AV1IndigoBenchrav1eVP9 libvpx EncodingOpenEMSLiquid-DSPSeleniumSysbenchWebP Image EncodeNode.js V8 Web Tooling BenchmarkNumpy BenchmarkQuantLibLZ4 CompressionCraftyZstd CompressionsimdjsonGraphicsMagicksrsRANlibjpeg-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 7950X3D 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 - 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 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP16 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUcpuminer-opt: scryptopenvino: Vehicle Detection 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 - CPUcpuminer-opt: Quad SHA-256, Pyriteaskap: tConvolve OpenMP - Degriddingonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUopenvino: Machine Translation EN To DE FP16 - CPUaskap: tConvolve MT - Griddingopenvino: Face Detection FP16 - CPUospray: gravity_spheres_volume/dim_512/pathtracer/real_timeincompact3d: input.i3d 129 Cells Per Directioncpuminer-opt: Skeincoinrocksdb: Rand Readospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracergraphics-magick: Sharpenstress-ng: Glibc Qsort Data Sortingospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 1 - Path Traceropenvino: Weld Porosity Detection FP16-INT8 - CPUospray-studio: 2 - 1080p - 1 - Path Traceraskap: tConvolve MT - Degriddingospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Traceropenvino: Person Detection FP32 - CPUospray-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 Detection FP16 - CPUprimesieve: 1e13stress-ng: Matrix Mathluxcorerender: LuxCore Benchmark - CPUnamd: ATPase Simulation - 327,506 Atomsopenfoam: drivaerFastback, Small Mesh Size - Execution Timeprimesieve: 1e12renaissance: Apache Spark Bayesluxcorerender: Danish Mood - CPUopenvino: Face Detection FP16-INT8 - CPUblender: Barbershop - CPU-Onlyaskap: Hogbom Clean OpenMPblender: Classroom - CPU-Onlystress-ng: Glibc C String Functionsopenvino: Person Vehicle Bike Detection FP16 - CPUsvt-vp9: VMAF Optimized - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-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: Cryptocpuminer-opt: x25xblender: BMW27 - CPU-Onlybrl-cad: VGR Performance Metricbuild-linux-kernel: allmodconfigliquid-dsp: 32 - 256 - 57blender: Pabellon Barcelona - CPU-Onlyopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvkl: 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 - Supercarstargate: 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 - 1024mt-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 - Bedroomsvt-hevc: 10 - Bosphorus 1080pbuild-ffmpeg: Time To Compilestargate: 96000 - 512build-llvm: Unix Makefilesx264: Bosphorus 4Kcompress-zstd: 12 - Compression Speedhpcg: 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 Cachetensorflow-lite: Inception V4stargate: 192000 - 512x265: Bosphorus 4Kembree: Pathtracer - Crownncnn: CPU - resnet50avifenc: 0openvkl: vklBenchmark Scalartensorflow-lite: Mobilenet Quantgraphics-magick: Noise-Gaussianospray: particle_volume/pathtracer/real_timetoktx: UASTC 3numenta-nab: Relative Entropygraphics-magick: Resizingkvazaar: Bosphorus 4K - Very Fastluaradio: Hilbert Transformnumenta-nab: KNN CADx264: Bosphorus 1080pavifenc: 6, Losslessxmrig: Monero - 1Msvt-av1: Preset 12 - Bosphorus 4Kavifenc: 2amg: ncnn: CPU - squeezenet_ssdembree: Pathtracer - Asian Dragonaom-av1: Speed 0 Two-Pass - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 4Kstress-ng: Semaphoreskvazaar: Bosphorus 1080p - Super Fastrocksdb: Rand Fill Syncdav1d: Summer Nature 4Kopenvino: Weld Porosity Detection FP16 - CPUsvt-av1: Preset 4 - Bosphorus 4Kncnn: CPU - vision_transformerkvazaar: Bosphorus 1080p - Very Fastnumenta-nab: Contextual Anomaly Detector OSEappleseed: Material Testerncnn: CPU - resnet18compress-zstd: 3 - Compression Speedsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMnatron: Spaceshipsimdjson: TopTweetpyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingsimdjson: PartialTweetssimdjson: DistinctUserIDkvazaar: Bosphorus 1080p - Slowmrbayes: Primate Phylogeny Analysiskvazaar: Bosphorus 1080p - Mediumdacapobench: Jythonkvazaar: Bosphorus 1080p - Ultra Fastaom-av1: Speed 6 Realtime - Bosphorus 4Kphpbench: PHP Benchmark Suitetnn: CPU - SqueezeNet v1.1aom-av1: Speed 9 Realtime - Bosphorus 4Krocksdb: Read Rand Write Randaom-av1: Speed 4 Two-Pass - Bosphorus 4Ktnn: CPU - DenseNetaom-av1: Speed 10 Realtime - Bosphorus 4Krocksdb: 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: renaissance: Finagle HTTP Requestsx265: Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 1080pgraphics-magick: Rotatepyhpc: CPU - Numpy - 1048576 - Equation of Staterav1e: 1cpuminer-opt: Garlicoinrawtherapee: Total Benchmark Timesimdjson: Kostyaluaradio: FM Deemphasis Filterrenaissance: Akka Unbalanced Cobwebbed Treetnn: CPU - MobileNet v2dav1d: Chimera 1080p 10-bitgegl: Scaletnn: CPU - SqueezeNet v2numpy: selenium: Speedometer - Google Chromenode-web-tooling: onnx: GPT-2 - CPU - Standardrav1e: 6simdjson: LargeRandsvt-av1: Preset 13 - Bosphorus 1080pcompress-zstd: 8 - Decompression Speedquantlib: openems: pyEMS Couplerrav1e: 5compress-zstd: 3 - Decompression Speedsrsran: OFDM_Testselenium: Octane - Google Chromeliquid-dsp: 8 - 256 - 57compress-zstd: 8, Long Mode - Decompression Speedcompress-lz4: 1 - Decompression Speedsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMcompress-lz4: 3 - Decompression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-lz4: 9 - Decompression Speedsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMcompress-lz4: 1 - Compression Speedgegl: Antialiasdav1d: Summer Nature 1080prenaissance: Apache Spark PageRankselenium: WASM collisionDetection - Google Chromerav1e: 10srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMcompress-zstd: 12 - Decompression Speedsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMdeepspeech: CPUselenium: ARES-6 - Google Chromesqlite-speedtest: Timed Time - Size 1,000srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMtoktx: Zstd Compression 19graphics-magick: HWB Color Spacerocksdb: Rand Fillgegl: Cartooncompress-zstd: 19, Long Mode - Decompression Speedgegl: Reflectselenium: Jetstream 2 - Google Chromecompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedradiance: Serialdraco: Church Facadewebp: Quality 100, Lossless, Highest Compressionrnnoise: webp: Quality 100, Losslessluaradio: Complex Phaserenaissance: Savina Reactors.IOdav1d: Chimera 1080poctave-benchmark: selenium: PSPDFKit WASM - Google Chromeselenium: Kraken - Google Chromegegl: Color Enhancecompress-zstd: 19 - Compression Speedsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMcrafty: Elapsed Timeradiance: SMP Parallelluaradio: Five Back to Back FIR Filterssrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMgegl: Tile Glasssrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMwebp: Defaultrenaissance: ALS Movie Lenssrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMgcrypt: compress-lz4: 9 - Compression Speedencode-mp3: WAV To MP3renaissance: Apache Spark ALStjbench: Decompression Throughputgimp: rotatewebp: Quality 100compress-lz4: 3 - Compression Speedwebp: Quality 100, Highest Compressionunpack-linux: linux-5.19.tar.xzgegl: Cropunpack-firefox: firefox-84.0.source.tar.xzgimp: unsharp-maskrenaissance: Rand Forestvpxenc: Speed 5 - Bosphorus 1080pgegl: Wavelet Blurvpxenc: Speed 0 - Bosphorus 1080pgimp: auto-levelsrenaissance: Genetic Algorithm Using Jenetics + Futuresgegl: Rotate 90 Degreescompress-zstd: 3, Long Mode - Compression Speedvpxenc: Speed 0 - Bosphorus 4Kdraco: Lionvpxenc: Speed 5 - Bosphorus 4Kgimp: resizerocksdb: Seq Fillluxcorerender: Rainbow Colors and Prism - CPUdolfyn: Computational Fluid Dynamicsstress-ng: IO_uringstress-ng: CPU Cachestress-ng: Socket Activitynumenta-nab: Earthgecko Skylinenumenta-nab: Windowed Gaussiannumenta-nab: Bayesian Changepointrocksdb: Read While Writinghimeno: Poisson Pressure Solverdacapobench: H2renaissance: Scala Dottyselenium: WASM imageConvolute - Google Chrometensorflow-lite: Mobilenet Floatsvt-av1: Preset 13 - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 1080ppennant: sedovbigncnn: CPU - mnasnetncnn: CPU - FastestDetncnn: CPU - regnety_400mncnn: CPU - yolov4-tinyncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUdarktable: Server Rack - CPU-onlyonnx: 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 9 7950XRyzen 9 7950X3D53313562.2317587.931.815.611865.0933684130.5318.3261.204.933635.09879955.911.448653.493.510.965824330.68340.0723.491111.50173071125.15689.371999877637.145.87062130.592814.431417.266.8731611.6370709159687176717462405484123148310373407.2212835026511617.1513054149.47597915252259.511641721670321950741.53051.81300902240.87130.840103299.383.850.62391158.7635111.327665.93.42434.99596.21628.961155.354310974.1211.59145.06446.60153.159.7062719215.547123.559.7440844383.161115.6952.94458667548.4761715700000185.261.668.36348276815.7277.1316.360330.17461.53734.2053.0923536.291174.69125.146727.203081.94022.4884.786869521.50112.2912140.95339.52932180.936.95117.33266.681329.48019.481.9675.4244421763656211.6025.642015128663333314515751978.29180450.916104718.7537.24984933.6219.16108215.79759.55233.7247.34616.013119388.164.0260298.41752915096.7191.1694428005.077412203.225.235014342.5317.5763.3136.616.1364.007677.4021.9413.697338295.10066.98255.99.9360916.510103.67185931.15822.5302.6608721100309.08718.4307.5955.0311725.46331.904167.45814955.47718272175.97281.6921377.12.37223134.3828.77149.4570.2661991880.15609229.1094.8737.448204543.40254.090.884257.555.6349293.9229.83434.2724151192008.5533.54331.20183.43666.8120.413517761.82216.3843677429.2156.874.893117.33164.7416.94797.845065.463574.6109.56.28.071.4876.947.9372.35122.66175.221634282.10120.381639851123.201126.14303521612.391434.837127.038495374.158.32323.3270.260.329101.8227.703883.24326.4619671.05393.0371941.288.15739.38012.96816770.1781.1593012.2833.0755.28719.26918.7153.437698.985.39435.236796.3543625.92180.1896.9491.93734.0912595.25310.669.424.5722362.81988333331137518253733332577.013858.2228.213077.32399.013453.7229.312902.1519.8021426.551692.2184.1315.991185.22580.8205.144.812546.2631.699246.912.8311668137443954.5552122.317.679375.4062207.011.5344.61442730.9311.6592.351096.93623.3976.805.5732261341.930.82220.6703.914508057112.3631969.5618.917.319636.625.487465.9692.9137.17582.964.7621863.8314.2751309.46916.3985.135.064.1536.58010.96511.861384.546.5635.40621.1810.1051007.429.8051329.210.66323922.6312.662148654916.7710.31433506.3487.6227224.2447.1863.26415.373385985610395.5179301571444.815.341349.90220.289254.21256.61292.27273.80138.71492.403.178.3614.561.083.672.522.172.487.910.7835560.6577250.17716.920559.23463.03480107.5249.300165.5469148.250020.727210.722593.2593335.1492.9837427167276.538671.530.922.83566.787668646.595.8328.871.675111.78001413.792.582801.741.771.79960161.11272.7514.661381.46187201383.29446.96836908500.611.7808138.39933.6231404.322.6965827.842543384793533662809681097668113231118129.812867113741153414.1128881588.411346733822289.643692903738574366784.480129.9010112242.09223.96343765.161.701.85679275.4108317.9681531.41.57684.921347.10480.775370.891752396.448.9451.33158.4854.533.465479344.302763.443.5068316797.66432.77136.161667301389.670628750000432.430.859.66156121832.38168.816.732313.76590.70132.02139.6611204.81448.9754.749342.853815.0649.49205.550573201.40290.7542703.16157.96282704.053.2445.77646.224193.04032.775.0003.26237569582224.9053.3593976279266677389724536.081092120.10212759.2616.02986022.719.4844673.83576.12127.93110.86636.43859200.312.4369014.6933068405.7308.4631885073.16213383.853.260485141.857.3107.2325.0513.6642.348284.5850.2212.342092666.08232.44155.34.571457.34145.539389.621.23149.3161.647589535600.229.425579.127461.311316.43401123.4738403939.0738402.91.56424416.1114.546112.84152.144913375.08301115.15610.49714.733108023.68119.3183.073139.9810.9697748.0109.78171.6972341361008.6016.47970.63102.42936.4260.221730567.00128.8021599253.0714.462.916148.9399.0733.261181.2587245.792160.775.63.35.231.6934.555.4947.7085.29849.473030171.9589.06891445225.96897.1718795737.732593.47296.555499034.3913.29414.2344.730.38072.9417.726705.37736.6338580.834135.5932862.572.29461.5889.3179980.1460.7522598.4954.3773.62442.37444.7246.695697.227.83555.281620.3628017.31139.3435.1141.25535.9001697.73482.845.883.3301570.1157733333763035539233331732.612991.7154.112626.01622.512734.2174.611683.2029.0501041.692157.3268.4912.461163.11778.4173.144.299459.0545.821182.713.3331244103312574.1351508.724.858267.8001575.410.8460.15143020.6716.1371.70801.53916.0767.366.2332613466.542.03019.0516.710914908142.241823.0470.723.383472.220.847206.1515.4182.35462.416.0492413.4254.46570112.45513.2265.024.254.8658.56213.04914.434482.937.2745.26916.8112.8811163.637.2091292.88.67361621.7713.09013909389.0414.24928761.7824.3812402.4082.2177.67023.34722582145021.8400221775600.923.281822.87118.025252.67231.47304.65295.2666.068461.982.315.7312.450.743.351.961.832.077.150.8254350.6083390.33224.216441.50075.1972131.192732.05807.1872360.064416.649410.3543899.7613598.4531.6803748297438.3213284.361.204.03960.2024924097.809.7737.383.084513.24953685.281.692502.462.511.12253306.65240.3033.252323.83157932257.09600.771552703214.7319.1590213.78784.7891965.824.9449239.178113315008095890754499275064263394226239.6915516190628116.6515711344.17733418403226.892034522056322397454.638157.0328523159.12133.2897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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 CreditsCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KSE +/- 64.89, N = 3SE +/- 43.72, N = 3SE +/- 43.72, N = 3SE +/- 112.60, N = 3SE +/- 47.26, N = 35331327167482971476531364001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KMin: 53190 / Avg: 53313.33 / Max: 53410Min: 27080 / Avg: 27166.67 / Max: 27220Min: 48210 / Avg: 48296.67 / Max: 48350Min: 147460 / Avg: 147653.33 / Max: 147850Min: 136330 / Avg: 136400 / Max: 1364901. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 1.73, N = 3SE +/- 0.33, N = 3SE +/- 0.38, N = 3SE +/- 1.33, N = 3SE +/- 0.77, N = 3562.23276.53438.321447.081335.75-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: Weld Porosity Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D30060090012001500Min: 559.14 / Avg: 562.23 / Max: 565.14Min: 275.88 / Avg: 276.53 / Max: 276.99Min: 437.57 / Avg: 438.32 / Max: 438.72Min: 1444.83 / Avg: 1447.08 / Max: 1449.44Min: 1334.87 / Avg: 1335.75 / Max: 1337.291. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D10K20K30K40K50KSE +/- 131.87, N = 3SE +/- 5.84, N = 3SE +/- 45.29, N = 3SE +/- 45.80, N = 3SE +/- 13.50, N = 317587.938671.5313284.3645170.1840665.29-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 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D8K16K24K32K40KMin: 17449.32 / Avg: 17587.93 / Max: 17851.55Min: 8660.35 / Avg: 8671.53 / Max: 8680.04Min: 13197.07 / Avg: 13284.36 / Max: 13348.94Min: 45104.5 / Avg: 45170.18 / Max: 45258.31Min: 40641.28 / Avg: 40665.29 / Max: 40687.981. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.40730.81461.22191.62922.0365SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.810.921.200.350.39-pie -ldl - MIN: 0.71 / MAX: 17.79-fPIC -shared - MIN: 0.53 / MAX: 9-fPIC -shared - MIN: 0.62 / MAX: 10.19-fPIC -shared - MIN: 0.21 / MAX: 7.08-fPIC -shared - MIN: 0.22 / MAX: 9.861. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810Min: 1.78 / Avg: 1.81 / Max: 1.83Min: 0.92 / Avg: 0.92 / Max: 0.92Min: 1.19 / Avg: 1.2 / Max: 1.2Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.39 / Avg: 0.39 / Max: 0.391. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 35.612.834.0314.4813.52-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: Face Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D48121620Min: 5.59 / Avg: 5.61 / Max: 5.66Min: 2.8 / Avg: 2.83 / Max: 2.85Min: 4.01 / Avg: 4.03 / Max: 4.07Min: 14.45 / Avg: 14.48 / Max: 14.54Min: 13.45 / Avg: 13.52 / Max: 13.551. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 2.15, N = 3SE +/- 0.74, N = 3SE +/- 0.94, N = 3SE +/- 1.83, N = 3SE +/- 0.54, N = 31865.09566.78960.202897.962615.51-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: Weld Porosity Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D5001000150020002500Min: 1862.37 / Avg: 1865.09 / Max: 1869.33Min: 565.69 / Avg: 566.78 / Max: 568.2Min: 959.19 / Avg: 960.2 / Max: 962.08Min: 2894.72 / Avg: 2897.96 / Max: 2901.04Min: 2614.79 / Avg: 2615.51 / Max: 2616.561. (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: MallocCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D8M16M24M32M40MSE +/- 260323.82, N = 3SE +/- 8516.84, N = 3SE +/- 146269.37, N = 3SE +/- 203990.92, N = 3SE +/- 180709.68, N = 333684130.537668646.5924924097.8037539926.4136092587.371. (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: MallocCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D7M14M21M28M35MMin: 33254073.05 / Avg: 33684130.53 / Max: 34153311.59Min: 7652365.39 / Avg: 7668646.59 / Max: 7681123.25Min: 24661262.92 / Avg: 24924097.8 / Max: 25166747.23Min: 37287426.42 / Avg: 37539926.41 / Max: 37943700.65Min: 35743381.9 / Avg: 36092587.37 / Max: 36347872.321. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 318.325.839.7728.3126.07-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: Face Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D612182430Min: 18.17 / Avg: 18.32 / Max: 18.43Min: 5.82 / Avg: 5.83 / Max: 5.85Min: 9.73 / Avg: 9.77 / Max: 9.8Min: 28.28 / Avg: 28.31 / Max: 28.33Min: 26.03 / Avg: 26.07 / Max: 26.11. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.33, N = 3SE +/- 0.87, N = 3SE +/- 0.28, N = 361.2028.8737.38137.43134.94-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: Machine Translation EN To DE FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D306090120150Min: 61.02 / Avg: 61.2 / Max: 61.39Min: 28.77 / Avg: 28.87 / Max: 29.02Min: 36.77 / Avg: 37.38 / Max: 37.9Min: 135.72 / Avg: 137.43 / Max: 138.54Min: 134.54 / Avg: 134.94 / Max: 135.491. (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_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.00437, N = 3SE +/- 0.01182, N = 3SE +/- 0.00443, N = 3SE +/- 0.01237, N = 3SE +/- 0.00497, N = 34.933631.675113.084517.858947.47869
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215Min: 4.93 / Avg: 4.93 / Max: 4.94Min: 1.65 / Avg: 1.68 / Max: 1.69Min: 3.08 / Avg: 3.08 / Max: 3.09Min: 7.84 / Avg: 7.86 / Max: 7.88Min: 7.47 / Avg: 7.48 / Max: 7.49

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.01006, N = 3SE +/- 0.00204, N = 3SE +/- 0.00213, N = 3SE +/- 0.00625, N = 3SE +/- 0.01003, N = 35.098791.780013.249538.043687.65282
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215Min: 5.08 / Avg: 5.1 / Max: 5.11Min: 1.78 / Avg: 1.78 / Max: 1.78Min: 3.25 / Avg: 3.25 / Max: 3.25Min: 8.03 / Avg: 8.04 / Max: 8.05Min: 7.63 / Avg: 7.65 / Max: 7.66

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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 1.06, N = 3SE +/- 0.68, N = 3SE +/- 1.01, N = 3SE +/- 1.27, N = 3SE +/- 4.69, N = 3955.91413.79685.281860.491708.21-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: Vehicle Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D30060090012001500Min: 954.52 / Avg: 955.91 / Max: 958Min: 412.47 / Avg: 413.79 / Max: 414.71Min: 683.8 / Avg: 685.28 / Max: 687.22Min: 1858.52 / Avg: 1860.49 / Max: 1862.87Min: 1701.37 / Avg: 1708.21 / Max: 1717.191. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.58111.16221.74332.32442.9055SE +/- 0.000717, N = 9SE +/- 0.005970, N = 9SE +/- 0.006955, N = 9SE +/- 0.001903, N = 9SE +/- 0.000928, N = 91.4486502.5828001.6925000.5784200.637944MIN: 1.43-lpthread - MIN: 2.45-lpthread - MIN: 1.49MIN: 0.56MIN: 0.621. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810Min: 1.45 / Avg: 1.45 / Max: 1.45Min: 2.55 / Avg: 2.58 / Max: 2.61Min: 1.67 / Avg: 1.69 / Max: 1.72Min: 0.57 / Avg: 0.58 / Max: 0.59Min: 0.63 / Avg: 0.64 / Max: 0.641. (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 Detection FP32 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 33.491.742.467.597.28-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: Person Detection FP32 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215Min: 3.48 / Avg: 3.49 / Max: 3.5Min: 1.73 / Avg: 1.74 / Max: 1.75Min: 2.44 / Avg: 2.46 / Max: 2.47Min: 7.55 / Avg: 7.59 / Max: 7.62Min: 7.23 / Avg: 7.28 / Max: 7.331. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 33.511.772.517.627.38-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: Person Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215Min: 3.5 / Avg: 3.51 / Max: 3.53Min: 1.76 / Avg: 1.77 / Max: 1.78Min: 2.5 / Avg: 2.51 / Max: 2.52Min: 7.59 / Avg: 7.62 / Max: 7.66Min: 7.34 / Avg: 7.38 / Max: 7.421. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.40490.80981.21471.61962.0245SE +/- 0.012535, N = 3SE +/- 0.003085, N = 3SE +/- 0.010879, N = 3SE +/- 0.000506, N = 3SE +/- 0.001790, N = 30.9658241.7996001.1225300.4189260.466730MIN: 0.86-lpthread - MIN: 1.77-lpthread - MIN: 0.98MIN: 0.4MIN: 0.451. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810Min: 0.95 / Avg: 0.97 / Max: 0.99Min: 1.79 / Avg: 1.8 / Max: 1.8Min: 1.11 / Avg: 1.12 / Max: 1.14Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.46 / Avg: 0.47 / Max: 0.471. (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: scryptCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D150300450600750SE +/- 0.98, N = 3SE +/- 0.14, N = 3SE +/- 0.41, N = 3SE +/- 0.31, N = 3SE +/- 0.20, N = 3330.68161.11306.65686.75641.011. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D120240360480600Min: 329.29 / Avg: 330.68 / Max: 332.56Min: 160.97 / Avg: 161.11 / Max: 161.38Min: 306.12 / Avg: 306.65 / Max: 307.46Min: 686.26 / Avg: 686.75 / Max: 687.31Min: 640.64 / Avg: 641.01 / Max: 641.331. (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: Vehicle Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 0.74, N = 3SE +/- 0.33, N = 3SE +/- 0.85, N = 3SE +/- 3.73, N = 3SE +/- 3.80, N = 3340.07272.75240.30774.491007.38-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: Vehicle Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D2004006008001000Min: 338.6 / Avg: 340.07 / Max: 340.86Min: 272.14 / Avg: 272.75 / Max: 273.28Min: 239.14 / Avg: 240.3 / Max: 241.95Min: 767.05 / Avg: 774.49 / Max: 778.59Min: 1000.83 / Avg: 1007.38 / Max: 1013.991. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 323.4914.6633.2510.327.94-pie -ldl - MIN: 6.4 / MAX: 48.86-fPIC -shared - MIN: 7.89 / MAX: 23.34-fPIC -shared - MIN: 11.88 / MAX: 55.77-fPIC -shared - MIN: 4.85 / MAX: 22.73-fPIC -shared - MIN: 4.31 / MAX: 18.631. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D714212835Min: 23.43 / Avg: 23.49 / Max: 23.59Min: 14.63 / Avg: 14.66 / Max: 14.69Min: 33.02 / Avg: 33.25 / Max: 33.41Min: 10.26 / Avg: 10.32 / Max: 10.42Min: 7.88 / Avg: 7.94 / Max: 7.991. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D5001000150020002500SE +/- 10.69, N = 15SE +/- 0.76, N = 3SE +/- 22.47, N = 15SE +/- 0.34, N = 3SE +/- 2.97, N = 31111.501381.462323.83570.79677.18MIN: 1016.3-lpthread - MIN: 1368.51-lpthread - MIN: 2134.46MIN: 566.8MIN: 668.441. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D400800120016002000Min: 1055.09 / Avg: 1111.5 / Max: 1168.8Min: 1379.93 / Avg: 1381.46 / Max: 1382.27Min: 2143.21 / Avg: 2323.83 / Max: 2438.69Min: 570.23 / Avg: 570.79 / Max: 571.4Min: 672.63 / Avg: 677.18 / Max: 682.751. (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-GroestlCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D13K26K39K52K65KSE +/- 100.39, N = 3SE +/- 10.00, N = 3SE +/- 35.28, N = 3SE +/- 767.09, N = 3SE +/- 440.21, N = 1517307187201579362040583751. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D11K22K33K44K55KMin: 17110 / Avg: 17306.67 / Max: 17440Min: 18710 / Avg: 18720 / Max: 18740Min: 15740 / Avg: 15793.33 / Max: 15860Min: 60530 / Avg: 62040 / Max: 63030Min: 55820 / Avg: 58374.67 / Max: 608601. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D5001000150020002500SE +/- 9.18, N = 15SE +/- 1.30, N = 3SE +/- 32.81, N = 15SE +/- 2.61, N = 3SE +/- 5.12, N = 31125.151383.292257.09578.14682.16MIN: 1014.77-lpthread - MIN: 1369.05-lpthread - MIN: 2024.07MIN: 568.99MIN: 668.421. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D400800120016002000Min: 1056.15 / Avg: 1125.15 / Max: 1163.42Min: 1380.7 / Avg: 1383.29 / Max: 1384.76Min: 2038.72 / Avg: 2257.09 / Max: 2474.67Min: 572.94 / Avg: 578.14 / Max: 580.93Min: 672.17 / Avg: 682.16 / Max: 689.11. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 4.56, N = 3SE +/- 0.73, N = 3SE +/- 3.90, N = 3SE +/- 1.71, N = 3SE +/- 1.67, N = 3689.37446.96600.771705.711663.96-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: Person Vehicle Bike Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D30060090012001500Min: 680.87 / Avg: 689.37 / Max: 696.49Min: 445.49 / Avg: 446.96 / Max: 447.71Min: 594.58 / Avg: 600.77 / Max: 607.98Min: 1703.56 / Avg: 1705.71 / Max: 1709.08Min: 1660.86 / Avg: 1663.96 / Max: 1666.571. (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: Quad SHA-256, PyriteCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D70K140K210K280K350KSE +/- 1609.65, N = 3SE +/- 58.59, N = 3SE +/- 117.90, N = 3SE +/- 2466.61, N = 3SE +/- 165.63, N = 3199987836901552703135272915701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D50K100K150K200K250KMin: 197780 / Avg: 199986.67 / Max: 203120Min: 83580 / Avg: 83690 / Max: 83780Min: 155110 / Avg: 155270 / Max: 155500Min: 309560 / Avg: 313526.67 / Max: 318050Min: 291240 / Avg: 291570 / Max: 2917601. (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 - DegriddingCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KSE +/- 20.33, N = 15SE +/- 43.50, N = 15SE +/- 15.52, N = 6SE +/- 73.72, N = 2SE +/- 150.99, N = 77637.148500.603214.736265.7211883.301. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KMin: 7607.31 / Avg: 7637.14 / Max: 7831.06Min: 8320.5 / Avg: 8500.63 / Max: 8875.2Min: 3169.71 / Avg: 3214.73 / Max: 3247.02Min: 6192 / Avg: 6265.72 / Max: 6339.43Min: 11094 / Avg: 11883.26 / Max: 12102.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of 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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.01640, N = 7SE +/- 0.02026, N = 7SE +/- 0.15435, N = 9SE +/- 0.00702, N = 7SE +/- 0.07096, N = 155.8706211.7808019.159005.191385.35360MIN: 5.7-lpthread - MIN: 11.46-lpthread - MIN: 18.2MIN: 5.11MIN: 4.931. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D510152025Min: 5.78 / Avg: 5.87 / Max: 5.92Min: 11.7 / Avg: 11.78 / Max: 11.84Min: 18.45 / Avg: 19.16 / Max: 20.04Min: 5.17 / Avg: 5.19 / Max: 5.23Min: 5.04 / Avg: 5.35 / Max: 5.71. (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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.23, N = 3SE +/- 0.37, N = 3SE +/- 1.88, N = 3SE +/- 0.36, N = 3SE +/- 0.12, N = 3130.59138.39213.7858.1659.23-pie -ldl - MIN: 54.14 / MAX: 236.07-fPIC -shared - MIN: 114.75 / MAX: 150.81-fPIC -shared - MIN: 140.01 / MAX: 251.03-fPIC -shared - MIN: 31.66 / MAX: 70.64-fPIC -shared - MIN: 43.76 / MAX: 68.81. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D4080120160200Min: 130.15 / Avg: 130.59 / Max: 130.95Min: 137.65 / Avg: 138.39 / Max: 138.85Min: 210.79 / Avg: 213.78 / Max: 217.26Min: 57.69 / Avg: 58.16 / Max: 58.87Min: 58.99 / Avg: 59.23 / Max: 59.41. (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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 3.81, N = 3SE +/- 1.70, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 3SE +/- 24.86, N = 62814.43933.62784.792198.382510.851. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D5001000150020002500Min: 2807.31 / Avg: 2814.43 / Max: 2820.32Min: 930.36 / Avg: 933.62 / Max: 936.08Min: 784.4 / Avg: 784.79 / Max: 785.42Min: 2198.19 / Avg: 2198.38 / Max: 2198.76Min: 2430.17 / Avg: 2510.85 / Max: 2609.551. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 6.67, N = 3SE +/- 10.89, N = 3SE +/- 8.96, N = 3SE +/- 1.01, N = 3SE +/- 0.86, N = 31417.261404.321965.82550.02589.99-pie -ldl - MIN: 1086.31 / MAX: 1957.4-fPIC -shared - MIN: 1296.81 / MAX: 1476.41-fPIC -shared - MIN: 1462.45 / MAX: 2340.85-fPIC -shared - MIN: 531.31 / MAX: 582.87-fPIC -shared - MIN: 295.96 / MAX: 626.631. (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: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D30060090012001500Min: 1404.51 / Avg: 1417.26 / Max: 1427.05Min: 1392.82 / Avg: 1404.32 / Max: 1426.1Min: 1947.91 / Avg: 1965.82 / Max: 1975.42Min: 548.11 / Avg: 550.02 / Max: 551.54Min: 588.41 / Avg: 589.99 / Max: 591.351. (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/pathtracer/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.00958, N = 3SE +/- 0.00214, N = 3SE +/- 0.00263, N = 3SE +/- 0.00580, N = 3SE +/- 0.01045, N = 36.873162.696584.944929.506918.96845
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215Min: 6.86 / Avg: 6.87 / Max: 6.89Min: 2.69 / Avg: 2.7 / Max: 2.7Min: 4.94 / Avg: 4.94 / Max: 4.95Min: 9.5 / Avg: 9.51 / Max: 9.52Min: 8.95 / Avg: 8.97 / Max: 8.99

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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D918273645SE +/- 0.07, N = 4SE +/- 0.02, N = 3SE +/- 0.31, N = 3SE +/- 0.01, N = 4SE +/- 0.07, N = 411.6427.8439.1814.6214.511. (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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D816243240Min: 11.44 / Avg: 11.64 / Max: 11.74Min: 27.8 / Avg: 27.84 / Max: 27.86Min: 38.64 / Avg: 39.18 / Max: 39.72Min: 14.6 / Avg: 14.62 / Max: 14.65Min: 14.33 / Avg: 14.51 / Max: 14.621. (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: SkeincoinCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D60K120K180K240K300KSE +/- 636.80, N = 3SE +/- 23.33, N = 3SE +/- 124.23, N = 3SE +/- 209.84, N = 3SE +/- 1039.32, N = 3159687847931500802826602636571. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D50K100K150K200K250KMin: 158540 / Avg: 159686.67 / Max: 160740Min: 84750 / Avg: 84793.33 / Max: 84830Min: 149870 / Avg: 150080 / Max: 150300Min: 282260 / Avg: 282660 / Max: 282970Min: 262350 / Avg: 263656.67 / Max: 2657101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D40M80M120M160M200MSE +/- 1452665.51, N = 3SE +/- 111777.38, N = 3SE +/- 238323.80, N = 3SE +/- 438240.45, N = 3SE +/- 374203.74, N = 317671746253366280958907541578888871471205201. (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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D30M60M90M120M150MMin: 175020752 / Avg: 176717462.33 / Max: 179608265Min: 53231132 / Avg: 53366280 / Max: 53588074Min: 95529592 / Avg: 95890753.67 / Max: 96340716Min: 157212173 / Avg: 157888887.33 / Max: 158709642Min: 146738243 / Avg: 147120520 / Max: 1478688691. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 49.83, N = 3SE +/- 224.96, N = 3SE +/- 69.22, N = 3SE +/- 58.60, N = 3SE +/- 37.51, N = 340548968104992729485317931. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KMin: 40498 / Avg: 40548.33 / Max: 40648Min: 96452 / Avg: 96810 / Max: 97225Min: 49819 / Avg: 49927 / Max: 50056Min: 29383 / Avg: 29484.67 / Max: 29586Min: 31724 / Avg: 31793 / Max: 318531. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 45.17, N = 3SE +/- 301.80, N = 3SE +/- 32.67, N = 3SE +/- 63.50, N = 3SE +/- 41.87, N = 341231976685064229841313631. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KMin: 41141 / Avg: 41231.33 / Max: 41278Min: 97076 / Avg: 97668.33 / Max: 98065Min: 50591 / Avg: 50642.33 / Max: 50703Min: 29721 / Avg: 29841 / Max: 29937Min: 31286 / Avg: 31363 / Max: 314301. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 186.37, N = 3SE +/- 139.75, N = 3SE +/- 62.42, N = 3SE +/- 55.03, N = 3SE +/- 17.05, N = 3483101132316339435189377501. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KMin: 47940 / Avg: 48310 / Max: 48534Min: 112992 / Avg: 113231 / Max: 113476Min: 63314 / Avg: 63394 / Max: 63517Min: 35102 / Avg: 35189.33 / Max: 35291Min: 37721 / Avg: 37749.67 / Max: 377801. (CXX) g++ options: -O3 -lm -ldl

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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D80160240320400SE +/- 1.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 33731182262722611. (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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D70140210280350Min: 371 / Avg: 372.67 / Max: 376Min: 118 / Avg: 118.33 / Max: 119Min: 225 / Avg: 225.67 / Max: 227Min: 271 / Avg: 272 / Max: 273Min: 260 / Avg: 260.67 / Max: 2611. (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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 0.73, N = 3SE +/- 0.11, N = 3SE +/- 2.05, N = 13SE +/- 1.17, N = 3SE +/- 0.96, N = 3407.22129.81239.69389.78370.711. (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 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D70140210280350Min: 406.2 / Avg: 407.22 / Max: 408.64Min: 129.7 / Avg: 129.81 / Max: 130.03Min: 236.32 / Avg: 239.69 / Max: 264.13Min: 388.2 / Avg: 389.78 / Max: 392.07Min: 369 / Avg: 370.71 / Max: 372.331. (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 TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 3.53, N = 3SE +/- 1.86, N = 3SE +/- 2.85, N = 3SE +/- 0.88, N = 3SE +/- 2.60, N = 31283286715519199921. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D5001000150020002500Min: 1276 / Avg: 1282.67 / Max: 1288Min: 2865 / Avg: 2867.33 / Max: 2871Min: 1545 / Avg: 1550.67 / Max: 1554Min: 918 / Avg: 919.33 / Max: 921Min: 988 / Avg: 992.33 / Max: 9971. (CXX) g++ options: -O3 -lm -ldl