AMD Ryzen 7 7800X3D Linux Benchmarks

AMD Ryzen 7 7800X3D benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2304049-PTS-APRIL20258
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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
Web Browsers 1 Tests
Chess Test Suite 3 Tests
Timed Code Compilation 6 Tests
C/C++ Compiler Tests 15 Tests
Compression Tests 2 Tests
CPU Massive 27 Tests
Creator Workloads 22 Tests
Cryptography 2 Tests
Database Test Suite 3 Tests
Encoding 9 Tests
Fortran Tests 3 Tests
Game Development 4 Tests
HPC - High Performance Computing 19 Tests
Imaging 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 7 Tests
Molecular Dynamics 7 Tests
MPI Benchmarks 5 Tests
Multi-Core 31 Tests
NVIDIA GPU Compute 5 Tests
Intel oneAPI 6 Tests
OpenMPI Tests 9 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 10 Tests
Python 2 Tests
Raytracing 2 Tests
Renderers 4 Tests
Scientific Computing 10 Tests
Server 8 Tests
Server CPU Tests 19 Tests
Single-Threaded 4 Tests
Video Encoding 8 Tests
Common Workstation Benchmarks 3 Tests

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Date
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  Test
  Duration
Ryzen 5 7600X
March 28 2023
  1 Day, 1 Hour, 28 Minutes
Ryzen 7 7700X
March 26 2023
  20 Hours, 46 Minutes
Ryzen 7 7800X3D
March 30 2023
  19 Hours, 32 Minutes
Ryzen 9 7900X
March 27 2023
  21 Hours, 53 Minutes
Ryzen 9 7900X3D
March 25 2023
  22 Hours, 25 Minutes
Ryzen 9 7950X
March 24 2023
  19 Hours, 42 Minutes
Ryzen 9 7950X3D
March 29 2023
  1 Day, 1 Hour, 5 Minutes
Ryzen 7 5800X3D
April 02 2023
  23 Hours, 40 Minutes
Core i9 13900K
April 01 2023
  1 Day, 1 Hour, 14 Minutes
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  22 Hours, 38 Minutes

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AMD Ryzen 7 7800X3D Linux BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3DAMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (9927 BIOS)AMD Device 14d832GBWestern Digital WD_BLACK SN850X 1000GB + 2000GBAMD Radeon RX 7900 XTX (2304/1249MHz)AMD Device ab30ASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 23.046.2.8-060208-generic (x86_64)GNOME Shell 44.0X Server 1.21.1.7 + Wayland4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49)OpenCL 2.1 AMD-APP (3513.0)GCC 12.2.0ext43840x2160AMD Ryzen 9 7900X3D 12-Core @ 4.40GHz (12 Cores / 24 Threads)AMD Ryzen 7 7700X 8-Core @ 4.50GHz (8 Cores / 16 Threads)AMD Ryzen 9 7900X 12-Core @ 4.70GHz (12 Cores / 24 Threads)AMD Ryzen 5 7600X 6-Core @ 4.70GHz (6 Cores / 12 Threads)AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads)AMD Ryzen 7 7800X3D 8-Core @ 4.20GHz (8 Cores / 16 Threads)Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (0809 BIOS)Intel Device 7a27Realtek ALC897ASUS VP28UIntel Device 7a70AMD Ryzen 7 5800X3D 8-Core @ 3.40GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VIII HERO (4402 BIOS)AMD Starship/MatisseAMD Device ab30ASUS MG28URealtek RTL8125 2.5GbE + Intel I211OpenBenchmarking.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-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/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 Processor Details- Ryzen 9 7950X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7900X3D: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7 7700X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7900X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 5 7600X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7950X3D: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 7 7800X3D: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Core i9 13900K: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x112 - Thermald 2.5.2- Ryzen 7 5800X3D: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa20120aJava Details- OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-1ubuntu2)Python Details- Python 3.11.2Security Details- 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 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 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 5 7600X: 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- Ryzen 7 7800X3D: 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 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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3DLogarithmic Result OverviewPhoronix Test SuiteLULESHOpenSSLJohn The RipperNAMDOSPRayOpenVINOOSPRay StudiooneDNNPennantCloverLeafBRL-CADChaos Group V-RAYBlenderACES DGEMMnginxOpenVKLStockfishTimed Linux Kernel CompilationXcompact3d Incompact3dStargate Digital Audio WorkstationTimed Node.js Compilationuvg266EmbreeTimed LLVM CompilationTimed Godot Game Engine CompilationGPAWDarktableTimed FFmpeg CompilationStress-NGGROMACSBuild27-Zip Compressionx264RocksDBMemcachedSVT-AV1x265OpenFOAMSPECFEM3DVVenCPHPBenchASKAPPyBenchNCNNsimdjsonLeelaChessZeroClickHouseONNX RuntimeSeleniumNumpy BenchmarkFFmpegOpenCVDarmstadt Automotive Parallel Heterogeneous SuiteZstd CompressionCraftydav1dGIMPGNU Octave BenchmarkVP9 libvpx EncodingGoogle Draco

Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3DPer Watt Result OverviewPhoronix Test Suite100%167%233%300%367%GROMACSLULESHJohn The RipperOSPRayLeelaChessZeroOpenSSLx264uvg266OpenVKLdav1dStockfishSVT-AV1EmbreeASKAPnginxChaos Group V-RAYPHPBenchStargate Digital Audio WorkstationACES DGEMM7-Zip Compressionx265BRL-CADClickHouseStress-NGVVenCDarmstadt Automotive Parallel Heterogeneous SuiteMemcachedRocksDBVP9 libvpx EncodingFFmpegsimdjsonSeleniumZstd CompressionNumpy BenchmarkCraftyP.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 7 7800X3D Linux Benchmarkslulesh: openssl: RSA4096openssl: AES-128-GCMopenssl: AES-256-GCMopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUpennant: sedovbigopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUospray: gravity_spheres_volume/dim_512/scivis/real_timejohn-the-ripper: HMAC-SHA512ospray: gravity_spheres_volume/dim_512/ao/real_timeopenvino: Vehicle Detection FP16-INT8 - CPUjohn-the-ripper: WPA PSKopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUjohn-the-ripper: MD5openvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUospray: gravity_spheres_volume/dim_512/pathtracer/real_timeopenssl: ChaCha20-Poly1305ospray-studio: 1 - 1080p - 32 - Path Traceropenssl: ChaCha20ospray-studio: 3 - 1080p - 32 - Path Traceropenvino: Weld Porosity Detection FP16-INT8 - CPUrocksdb: Rand Readnamd: ATPase Simulation - 327,506 Atomsospray-studio: 1 - 1080p - 16 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 16 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timestress-ng: Matrix Mathopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUaskap: tConvolve MT - Griddingstress-ng: CPU Cachedarktable: Server Room - CPU-onlystress-ng: Context Switchingopenvino: Machine Translation EN To DE FP16 - CPUstress-ng: Memory Copyingopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUaskap: tConvolve OpenMP - Degriddingcloverleaf: Lagrangian-Eulerian Hydrodynamicsblender: BMW27 - CPU-Onlystress-ng: Cryptoblender: Pabellon Barcelona - CPU-Onlynginx: 200brl-cad: VGR Performance Metricv-ray: CPUbuild-linux-kernel: allmodconfigstress-ng: CPU Stressnginx: 100askap: tConvolve OpenMP - Griddingmt-dgemm: Sustained Floating-Point Ratenginx: 500stress-ng: Vector Mathblender: Fishy Cat - CPU-Onlynginx: 1000openvkl: vklBenchmark ISPCncnn: CPU - shufflenet-v2openssl: SHA256askap: tConvolve MT - Degriddingopenssl: SHA512openssl: RSA4096openvino: Person Vehicle Bike Detection FP16 - CPUjohn-the-ripper: bcryptjohn-the-ripper: Blowfishdarktable: Boat - CPU-onlycompress-7zip: Decompression Ratingembree: Pathtracer ISPC - Crownstockfish: Total Timencnn: CPU - regnety_400mstargate: 96000 - 1024incompact3d: input.i3d 193 Cells Per Directionopenvino: Face Detection FP16-INT8 - CPUuvg266: Bosphorus 4K - Super Fastembree: Pathtracer - Crownpennant: leblancbigdarktable: Masskrug - CPU-onlyonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUstargate: 192000 - 1024build-llvm: Ninjaonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUuvg266: Bosphorus 4K - Ultra Fastbuild-nodejs: Time To Compilestargate: 96000 - 512embree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Asian Dragonincompact3d: input.i3d 129 Cells Per Directionembree: Pathtracer - Asian Dragon Objbuild-linux-kernel: defconfigbuild-godot: Time To Compilegpaw: Carbon Nanotubeembree: Pathtracer ISPC - Asian Dragon Objbuild-ffmpeg: Time To Compilestargate: 192000 - 512uvg266: Bosphorus 4K - Very Fastopenvino: Person Detection FP32 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUgromacs: MPI CPU - water_GMX50_barebuild-llvm: Unix Makefilesx264: Bosphorus 4Kopenvino: Person Detection FP16 - CPUbuild2: Time To Compileopenvino: Vehicle Detection FP16-INT8 - CPUncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - mnasnetcompress-7zip: Compression Ratingopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timememcached: 1:10x265: Bosphorus 4Kospray: particle_volume/pathtracer/real_timespecfem3d: Layered Halfspacememcached: 1:10darktable: Server Rack - CPU-onlyx264: Bosphorus 1080paskap: tConvolve MPI - Degriddingsvt-av1: Preset 12 - Bosphorus 4Kncnn: CPU - googlenetsvt-av1: Preset 8 - Bosphorus 4Kvvenc: Bosphorus 4K - Fastmemcached: 1:5rocksdb: Read While Writingaskap: tConvolve MPI - Griddingopenvino: Weld Porosity Detection FP16 - CPUspecfem3d: Water-layered Halfspacencnn: CPU-v2-v2 - mobilenet-v2svt-av1: Preset 4 - Bosphorus 4Kspecfem3d: Mount St. Helensaskap: Hogbom Clean OpenMPncnn: CPU - vision_transformerapache: 1000svt-av1: Preset 13 - Bosphorus 4Kcompress-zstd: 12 - Compression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8 - Compression Speedsimdjson: TopTweetmemcached: 1:100memcached: 1:100apache: 500ncnn: CPU - efficientnet-b0vvenc: Bosphorus 4K - Fasterspecfem3d: Tomographic Modelspecfem3d: Homogeneous Halfspaceopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timevvenc: Bosphorus 1080p - Fastsimdjson: PartialTweetssimdjson: DistinctUserIDapache: 200apache: 100phpbench: PHP Benchmark Suiterocksdb: Read Rand Write Randrocksdb: Update Randpybench: Total For Average Test Timesncnn: CPU - resnet18x265: Bosphorus 1080pncnn: CPU - vgg16lczero: Eigensimdjson: Kostyadav1d: Summer Nature 4Kncnn: CPU - squeezenet_ssdclickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runncnn: CPU - alexnetopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachedaphne: OpenMP - Points2Imagevvenc: Bosphorus 1080p - Fasterdaphne: OpenMP - Euclidean Clusterncnn: CPU - yolov4-tinyncnn: CPU - mobilenetffmpeg: libx265 - Uploadffmpeg: libx265 - Uploadselenium: Speedometer - Google Chromenumpy: simdjson: LargeRandffmpeg: libx265 - Platformffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandffmpeg: libx265 - Video On Demandselenium: WASM imageConvolute - Firefoxcompress-zstd: 8 - Decompression Speedselenium: WASM collisionDetection - Google Chromecompress-zstd: 8, Long Mode - Decompression Speedselenium: Speedometer - Firefoxdaphne: OpenMP - NDT Mappingcompress-zstd: 12 - Decompression Speeddav1d: Summer Nature 1080popencv: Features 2Dffmpeg: libx265 - Liveffmpeg: libx265 - Livencnn: CPU - resnet50crafty: Elapsed Timecompress-zstd: 19 - Decompression Speedselenium: Jetstream 2 - Google Chromecompress-zstd: 19, Long Mode - Compression Speedgimp: resizeselenium: PSPDFKit WASM - Google Chromeopencv: Image Processingselenium: Jetstream 2 - Firefoxvpxenc: Speed 5 - Bosphorus 4Kselenium: Kraken - Google Chromegimp: rotategimp: unsharp-maskselenium: WASM collisionDetection - Firefoxopencv: Graph APIgimp: auto-levelsselenium: PSPDFKit WASM - Firefoxselenium: Kraken - Firefoxoctave-benchmark: compress-zstd: 19 - Compression Speedvpxenc: Speed 0 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 1080ponnx: GPT-2 - CPU - Standarddav1d: Chimera 1080pvpxenc: Speed 5 - Bosphorus 1080pdav1d: Chimera 1080p 10-bitdraco: Church Facadeopencv: Stitchingopencv: Coredraco: Lionopencv: DNN - Deep Neural Networkopencv: Object Detectionopencv: Videoselenium: WASM imageConvolute - Google Chromeonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: GPT-2 - CPU - Standardncnn: CPU - FastestDetncnn: CPU - blazefaceRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 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LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3K6K9K12K15KSE +/- 10.98, N = 6SE +/- 20.10, N = 7SE +/- 4.68, N = 6SE +/- 15.25, N = 6SE +/- 4.30, N = 8SE +/- 26.27, N = 7SE +/- 10.33, N = 6SE +/- 9.65, N = 8SE +/- 51.67, N = 68539.769055.278017.068553.701786.089097.688846.2911801.095473.541. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3K6K9K12K15KSE +/- 18.16, N = 3SE +/- 21.30, N = 3SE +/- 4.59, N = 3SE +/- 32.50, N = 3SE +/- 5.70, N = 3SE +/- 11.09, N = 3SE +/- 3.18, N = 3SE +/- 8.64, N = 3SE +/- 0.97, N = 315483.510345.08056.811924.16019.213817.57016.25313.72513.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D60000M120000M180000M240000M300000MSE +/- 117940235.40, N = 3SE +/- 68861884.05, N = 3SE +/- 58489737.43, N = 3SE +/- 273721997.77, N = 3SE +/- 110264265.91, N = 3SE +/- 268142967.38, N = 3SE +/- 287193905.22, N = 3SE +/- 278206080.66, N = 3SE +/- 4616690.45, N = 3267753296510188194158000138903774913204135876927104009854157251539600997126210903063175726975383454076882931. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D50000M100000M150000M200000M250000MSE +/- 184417335.88, N = 3SE +/- 91047476.57, N = 3SE +/- 62514843.80, N = 3SE +/- 52022105.73, N = 3SE +/- 34295936.80, N = 3SE +/- 161187700.98, N = 3SE +/- 51235195.79, N = 3SE +/- 154442913.38, N = 3SE +/- 1285161.39, N = 323001808759316186719901011886821312317487590067789148846343216581866383108897392413153714456440413789832071. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.41630.83261.24891.66522.0815SE +/- 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 = 3SE +/- 0.00, N = 30.350.390.340.350.350.390.391.850.92MIN: 0.21 / MAX: 7.58MIN: 0.23 / MAX: 11.68MIN: 0.21 / MAX: 6.87MIN: 0.21 / MAX: 7.37MIN: 0.21 / MAX: 7.11MIN: 0.23 / MAX: 7.62MIN: 0.23 / MAX: 7.97MIN: 0.72 / MAX: 24.61MIN: 0.59 / MAX: 8.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30060090012001500SE +/- 1.47, N = 3SE +/- 0.51, N = 3SE +/- 0.58, N = 3SE +/- 0.69, N = 3SE +/- 0.59, N = 3SE +/- 0.14, N = 3SE +/- 0.34, N = 3SE +/- 0.73, N = 3SE +/- 0.54, N = 31447.01993.11745.061093.65556.391337.36675.10560.02276.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 2.26, N = 12SE +/- 0.04, N = 334.6731.1546.6336.8554.1827.0942.26141.1165.991. (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: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D10K20K30K40K50KSE +/- 58.03, N = 3SE +/- 6.01, N = 3SE +/- 62.88, N = 3SE +/- 23.20, N = 3SE +/- 200.07, N = 3SE +/- 63.20, N = 3SE +/- 39.73, N = 3SE +/- 31.64, N = 3SE +/- 2.51, N = 344976.4830248.7123143.2134149.6916786.8440616.9520319.9517231.878661.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D6001200180024003000SE +/- 5.17, N = 3SE +/- 2.00, N = 3SE +/- 1.59, N = 3SE +/- 1.22, N = 3SE +/- 1.89, N = 3SE +/- 1.47, N = 3SE +/- 1.35, N = 3SE +/- 3.83, N = 3SE +/- 0.52, N = 32894.701951.941491.002195.491067.992616.101310.991849.76565.701. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D48121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 314.4510.087.5411.015.6313.516.855.552.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D714212835SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 328.4119.4014.8221.4410.8426.1013.2218.195.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 1.36, N = 3SE +/- 0.19, N = 3SE +/- 0.64, N = 3SE +/- 0.31, N = 3SE +/- 0.85, N = 3SE +/- 0.38, N = 3SE +/- 0.42, N = 3SE +/- 0.60, N = 3SE +/- 0.05, N = 3136.83106.6482.80111.0763.38136.1375.3261.5928.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D246810SE +/- 0.01094, N = 3SE +/- 0.01960, N = 3SE +/- 0.01549, N = 3SE +/- 0.00117, N = 3SE +/- 0.00203, N = 3SE +/- 0.01462, N = 3SE +/- 0.00355, N = 3SE +/- 0.00726, N = 3SE +/- 0.00252, N = 37.925105.702374.088526.007133.072157.569753.814955.042401.68311

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: HMAC-SHA512Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D40M80M120M160M200MSE +/- 689894.03, N = 3SE +/- 118569.72, N = 3SE +/- 56665.69, N = 3SE +/- 73384.83, N = 3SE +/- 14437.61, N = 3SE +/- 67414.97, N = 3SE +/- 292652.43, N = 3SE +/- 506840.65, N = 3SE +/- 89935.78, N = 32020823331493773331247760001630460009446333318810033311262433370834667439433331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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/ao/real_timeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D246810SE +/- 0.04136, N = 3SE +/- 0.01886, N = 3SE +/- 0.01753, N = 3SE +/- 0.02378, N = 3SE +/- 0.01020, N = 3SE +/- 0.00256, N = 3SE +/- 0.01422, N = 3SE +/- 0.01248, N = 3SE +/- 0.00052, N = 38.149075.794554.172276.149193.152507.703533.883425.244341.77905

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D400800120016002000SE +/- 0.30, N = 3SE +/- 0.51, N = 3SE +/- 5.56, N = 3SE +/- 1.67, N = 3SE +/- 1.39, N = 3SE +/- 4.25, N = 3SE +/- 0.29, N = 3SE +/- 1.48, N = 3SE +/- 0.98, N = 31855.481254.43942.041398.20730.501707.05874.31947.55407.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D40K80K120K160K200KSE +/- 355.52, N = 3SE +/- 90.21, N = 3SE +/- 219.54, N = 3SE +/- 113.24, N = 3SE +/- 68.21, N = 3SE +/- 546.53, N = 3SE +/- 129.55, N = 3SE +/- 84.65, N = 3SE +/- 51.17, N = 317656912279491048132237679351654418292561528403481. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.655.634.156.023.117.343.883.491.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.545.524.165.933.137.313.873.471.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD5Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1000K2000K3000K4000K5000KSE +/- 8412.95, N = 3SE +/- 881.92, N = 3SE +/- 1666.67, N = 3SE +/- 6333.33, N = 3SE +/- 1201.85, N = 3SE +/- 1452.97, N = 3SE +/- 666.67, N = 3SE +/- 13642.25, N = 3SE +/- 0.00, N = 34662667307633323916673507667179766741726672080667182933311030001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D400800120016002000SE +/- 15.62, N = 3SE +/- 5.71, N = 3SE +/- 1.24, N = 3SE +/- 5.25, N = 3SE +/- 2.45, N = 3SE +/- 0.62, N = 3SE +/- 0.38, N = 3SE +/- 0.43, N = 3SE +/- 1.13, N = 31670.001183.17887.851273.29631.711666.23885.66677.44447.621. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2004006008001000SE +/- 1.83, N = 3SE +/- 1.43, N = 3SE +/- 1.05, N = 3SE +/- 0.45, N = 3SE +/- 4.30, N = 3SE +/- 1.01, N = 3SE +/- 0.58, N = 3SE +/- 0.82, N = 3SE +/- 0.29, N = 3771.37791.99486.21738.48404.651012.45597.74336.83273.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 310.367.578.228.129.887.896.6923.7114.63MIN: 3.84 / MAX: 24.51MIN: 4.27 / MAX: 20.97MIN: 3.61 / MAX: 16.56MIN: 3.99 / MAX: 19.72MIN: 5.38 / MAX: 18.64MIN: 4.15 / MAX: 15.99MIN: 4.14 / MAX: 14.79MIN: 11.67 / MAX: 49.09MIN: 7.85 / MAX: 22.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.00581, N = 3SE +/- 0.00404, N = 3SE +/- 0.00213, N = 3SE +/- 0.00534, N = 3SE +/- 0.00579, N = 3SE +/- 0.01069, N = 3SE +/- 0.00233, N = 3SE +/- 0.00280, N = 3SE +/- 0.00158, N = 39.524676.693924.865447.180543.665138.975914.464156.799452.70232

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20000M40000M60000M80000M100000MSE +/- 7300302.65, N = 3SE +/- 44766456.82, N = 3SE +/- 9313096.26, N = 3SE +/- 7146104.90, N = 3SE +/- 1775123.27, N = 3SE +/- 18286198.46, N = 3SE +/- 10809945.71, N = 3SE +/- 32840901.40, N = 3SE +/- 11230833.12, N = 39801405909069423214137504881706337423662316737810232343929108185274637299698346559956170286741556801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20K40K60K80K100KSE +/- 22.10, N = 3SE +/- 57.81, N = 3SE +/- 106.89, N = 3SE +/- 51.11, N = 3SE +/- 101.69, N = 3SE +/- 41.08, N = 3SE +/- 162.71, N = 3SE +/- 24.06, N = 3SE +/- 203.99, N = 32943241851626823919383779315166695740614967981. (CXX) g++ options: -O3 -lm -ldl

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30000M60000M90000M120000M150000MSE +/- 33952426.18, N = 3SE +/- 4098947.09, N = 3SE +/- 2287404.12, N = 3SE +/- 32700124.58, N = 3SE +/- 3351916.44, N = 3SE +/- 50740995.75, N = 3SE +/- 7080556.50, N = 3SE +/- 27520937.62, N = 3SE +/- 12490842.46, N = 31379013934179776200917770980755090104393123613530073489871308000494476504516530769576215757423430803001. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20K40K60K80K100KSE +/- 42.44, N = 3SE +/- 10.99, N = 3SE +/- 64.17, N = 3SE +/- 58.24, N = 3SE +/- 290.34, N = 3SE +/- 320.57, N = 3SE +/- 208.24, N = 3SE +/- 49.94, N = 3SE +/- 255.92, N = 335187499507388446829995503715578728485471139301. (CXX) g++ options: -O3 -lm -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: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D48121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 35.526.145.365.465.616.116.1017.2914.14MIN: 2.91 / MAX: 16.1MIN: 3.27 / MAX: 20.78MIN: 2.84 / MAX: 11.88MIN: 2.86 / MAX: 11.9MIN: 2.83 / MAX: 12.74MIN: 3.23 / MAX: 13.47MIN: 3.19 / MAX: 13.98MIN: 6.84 / MAX: 49.04MIN: 7.05 / MAX: 21.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 8.0Test: Random ReadRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30M60M90M120M150MSE +/- 393815.64, N = 3SE +/- 77605.89, N = 3SE +/- 518042.81, N = 3SE +/- 145291.54, N = 3SE +/- 386524.38, N = 3SE +/- 71922.56, N = 3SE +/- 100343.68, N = 3SE +/- 373089.83, N = 3SE +/- 62040.34, N = 3150553441106531978768242131146529355778464814242319870980482162760501507260101. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

NAMD

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.44350.8871.33051.7742.2175SE +/- 0.00180, N = 3SE +/- 0.00072, N = 3SE +/- 0.00017, N = 3SE +/- 0.00072, N = 3SE +/- 0.00129, N = 3SE +/- 0.00193, N = 3SE +/- 0.00123, N = 3SE +/- 0.00533, N = 3SE +/- 0.00060, N = 30.771481.082741.487441.006661.970920.815741.619260.626641.84990

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: 16 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D10K20K30K40K50KSE +/- 4.18, N = 3SE +/- 5.13, N = 3SE +/- 25.24, N = 3SE +/- 40.70, N = 3SE +/- 103.96, N = 3SE +/- 13.57, N = 3SE +/- 10.59, N = 3SE +/- 14.52, N = 3SE +/- 60.62, N = 31468321291295921962240074158673152220340459641. (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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D6001200180024003000SE +/- 0.58, N = 3SE +/- 2.60, N = 3SE +/- 3.18, N = 3SE +/- 2.00, N = 3SE +/- 1.45, N = 3SE +/- 5.84, N = 3SE +/- 2.52, N = 3SE +/- 1.15, N = 3SE +/- 4.18, N = 391913301850122825069711972128228661. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D12K24K36K48K60KSE +/- 10.50, N = 3SE +/- 6.03, N = 3SE +/- 48.79, N = 3SE +/- 14.34, N = 3SE +/- 100.36, N = 3SE +/- 180.23, N = 3SE +/- 54.56, N = 3SE +/- 53.84, N = 3SE +/- 35.35, N = 31757624900353182344847897186103744824162546681. (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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D7001400210028003500SE +/- 1.20, N = 3SE +/- 1.53, N = 3SE +/- 1.53, N = 3SE +/- 0.33, N = 3SE +/- 3.79, N = 3SE +/- 3.48, N = 3SE +/- 2.33, N = 3SE +/- 2.73, N = 3SE +/- 5.24, N = 31097155922131466299811782344152434051. (CXX) g++ options: -O3 -lm -ldl

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_timeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.00263, N = 3SE +/- 0.00442, N = 3SE +/- 0.00095, N = 3SE +/- 0.00266, N = 3SE +/- 0.00079, N = 3SE +/- 0.00527, N = 3SE +/- 0.00111, N = 3SE +/- 0.01393, N = 3SE +/- 0.00464, N = 37.996615.633744.125996.046303.114937.571603.736509.572453.49975

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.03487, N = 3SE +/- 0.00266, N = 3SE +/- 0.00262, N = 3SE +/- 0.00644, N = 3SE +/- 0.00183, N = 3SE +/- 0.00360, N = 3SE +/- 0.00070, N = 3SE +/- 0.00560, N = 3SE +/- 0.00191, N = 37.945185.623324.107736.025333.109747.550983.721279.530023.45606

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Matrix MathRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30K60K90K120K150KSE +/- 85.06, N = 3SE +/- 83.36, N = 3SE +/- 89.13, N = 3SE +/- 156.30, N = 3SE +/- 85.53, N = 3SE +/- 182.43, N = 3SE +/- 93.87, N = 3SE +/- 1195.78, N = 14SE +/- 118.21, N = 3130771.7192493.9166937.5199161.5050108.06123807.3561436.97110413.5542804.211. (CC) gcc options: -std=gnu99 -O2 -lm -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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D6K12K18K24K30KSE +/- 19.36, N = 3SE +/- 5.14, N = 3SE +/- 7.96, N = 3SE +/- 36.67, N = 3SE +/- 27.53, N = 3SE +/- 15.43, N = 3SE +/- 6.53, N = 3SE +/- 17.60, N = 3SE +/- 4.03, N = 326125.9017588.9813428.5419880.378561.5023606.7911853.1719040.429390.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 - GriddingRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D6001200180024003000SE +/- 34.17, N = 15SE +/- 14.62, N = 3SE +/- 4.65, N = 3SE +/- 15.27, N = 3SE +/- 10.67, N = 3SE +/- 23.70, N = 5SE +/- 11.93, N = 3SE +/- 4.34, N = 3SE +/- 1.81, N = 32148.452114.751784.982009.501687.082323.161886.542812.58934.511. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: CPU CacheRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.3M2.6M3.9M5.2M6.5MSE +/- 39256.30, N = 15SE +/- 4040.61, N = 3SE +/- 72128.97, N = 3SE +/- 22413.02, N = 3SE +/- 34972.41, N = 3SE +/- 30111.46, N = 15SE +/- 94265.90, N = 12SE +/- 64049.04, N = 3SE +/- 85417.46, N = 152868842.432261408.135845633.352186099.114401318.961987512.193868611.784600074.832595055.541. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 4.2.1Test: Server Room - Acceleration: CPU-onlyRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.00692.01383.02074.02765.0345SE +/- 0.005, N = 9SE +/- 0.007, N = 9SE +/- 0.006, N = 9SE +/- 0.005, N = 9SE +/- 0.011, N = 8SE +/- 0.008, N = 9SE +/- 0.009, N = 9SE +/- 0.004, N = 10SE +/- 0.005, N = 72.3322.4942.7902.5023.1782.3472.8421.5244.475

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Context SwitchingRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2M4M6M8M10MSE +/- 90303.53, N = 6SE +/- 75039.03, N = 4SE +/- 8621.39, N = 3SE +/- 53501.91, N = 3SE +/- 12124.10, N = 3SE +/- 58598.77, N = 3SE +/- 9340.11, N = 3SE +/- 18034.47, N = 3SE +/- 18286.48, N = 38930648.886210682.934388025.246683204.623332864.048280952.543889050.263197980.223095459.551. (CC) gcc options: -std=gnu99 -O2 -lm -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: Machine Translation EN To DE FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 0.58, N = 3SE +/- 0.10, N = 3SE +/- 0.37, N = 3SE +/- 0.14, N = 3SE +/- 0.86, N = 3SE +/- 0.16, N = 3SE +/- 0.30, N = 3SE +/- 1.27, N = 3SE +/- 0.26, N = 358.4256.2448.2953.9963.1258.7253.09129.80138.41MIN: 29.2 / MAX: 68.61MIN: 46.11 / MAX: 67.65MIN: 27.04 / MAX: 61.6MIN: 27.76 / MAX: 63.22MIN: 42.47 / MAX: 73.34MIN: 29.06 / MAX: 69.83MIN: 27.19 / MAX: 59.24MIN: 68.28 / MAX: 235.14MIN: 116.18 / MAX: 151.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Memory CopyingRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D17003400510068008500SE +/- 6.93, N = 3SE +/- 18.76, N = 3SE +/- 0.74, N = 3SE +/- 17.75, N = 3SE +/- 2.53, N = 3SE +/- 2.37, N = 3SE +/- 1.83, N = 3SE +/- 8.33, N = 3SE +/- 11.97, N = 37725.735447.104667.356023.673512.677102.844104.077190.772722.521. (CC) gcc options: -std=gnu99 -O2 -lm -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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.37580.75161.12741.50321.879SE +/- 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 = 3SE +/- 0.00, N = 30.610.680.590.600.700.670.671.670.85MIN: 0.34 / MAX: 9.56MIN: 0.37 / MAX: 12.44MIN: 0.33 / MAX: 9.46MIN: 0.33 / MAX: 7.73MIN: 0.33 / MAX: 15.32MIN: 0.36 / MAX: 7.69MIN: 0.38 / MAX: 8.51MIN: 0.68 / MAX: 16.24MIN: 0.56 / MAX: 8.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2K4K6K8K10KSE +/- 83.88, N = 5SE +/- 54.18, N = 7SE +/- 39.27, N = 6SE +/- 108.00, N = 6SE +/- 165.08, N = 6SE +/- 153.85, N = 6SE +/- 74.08, N = 10SE +/- 73.32, N = 6SE +/- 39.57, N = 156111.4110186.424098.165675.305145.5711503.209939.899345.198536.401. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

CloverLeaf

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

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20406080100SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 346.8130.9669.4448.6971.6728.7739.3941.2780.681. (F9X) gfortran options: -O3 -march=native -funroll-loops -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: BMW27 - Compute: CPU-OnlyRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.28, N = 3SE +/- 0.08, N = 349.3870.0397.0065.31128.4252.16104.7653.99136.00

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: CryptoRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D13K26K39K52K65KSE +/- 79.86, N = 3SE +/- 359.43, N = 13SE +/- 61.93, N = 3SE +/- 32.72, N = 3SE +/- 68.01, N = 3SE +/- 222.65, N = 3SE +/- 29.37, N = 3SE +/- 295.15, N = 3SE +/- 29.31, N = 362992.3544106.9331973.0147474.8123979.5358628.4028574.4359325.7823148.831. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D90180270360450SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.23, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.42, N = 3SE +/- 0.14, N = 3158.81225.19309.02209.33412.55168.04337.80187.33431.69

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 200Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D40K80K120K160K200KSE +/- 85.31, N = 3SE +/- 75.96, N = 3SE +/- 188.30, N = 3SE +/- 131.80, N = 3SE +/- 237.39, N = 3SE +/- 298.51, N = 3SE +/- 64.79, N = 3SE +/- 1049.18, N = 3SE +/- 95.68, N = 3188361.90135184.24109607.62148467.6381518.68179232.7898052.67194820.1571791.981. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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 MetricRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D100K200K300K400K500K4262882987622385183237591789714035182165224488581654891. (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

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D7K14K21K28K35KSE +/- 67.51, N = 3SE +/- 87.86, N = 3SE +/- 43.14, N = 3SE +/- 53.72, N = 3SE +/- 3.00, N = 3SE +/- 47.94, N = 3SE +/- 42.36, N = 3SE +/- 65.37, N = 3SE +/- 142.98, N = 3326792340516777248521266131366158882731612055

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30060090012001500SE +/- 0.24, N = 3SE +/- 0.53, N = 3SE +/- 0.34, N = 3SE +/- 0.30, N = 3SE +/- 0.17, N = 3SE +/- 0.65, N = 3SE +/- 0.27, N = 3SE +/- 0.28, N = 3SE +/- 0.70, N = 3512.24673.54948.63649.961224.06516.66987.26552.991386.35

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: CPU StressRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D13K26K39K52K65KSE +/- 410.92, N = 15SE +/- 143.52, N = 3SE +/- 248.37, N = 3SE +/- 340.75, N = 3SE +/- 243.21, N = 5SE +/- 130.71, N = 3SE +/- 118.43, N = 3SE +/- 246.89, N = 3SE +/- 243.29, N = 661633.5741808.6030478.1145586.8423168.8359420.4027505.3162687.4325178.061. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 100Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D40K80K120K160K200KSE +/- 413.17, N = 3SE +/- 26.01, N = 3SE +/- 52.22, N = 3SE +/- 234.97, N = 3SE +/- 59.93, N = 3SE +/- 87.07, N = 3SE +/- 11.28, N = 3SE +/- 374.54, N = 3SE +/- 100.81, N = 3188405.16134927.90110819.10147810.4383186.07177681.0798172.33192969.7271445.441. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2K4K6K8K10KSE +/- 42.46, N = 6SE +/- 46.73, N = 7SE +/- 24.15, N = 6SE +/- 19.61, N = 6SE +/- 18.56, N = 6SE +/- 58.70, N = 6SE +/- 61.71, N = 10SE +/- 71.08, N = 6SE +/- 74.72, N = 156075.776033.853385.474992.692942.636888.467928.697199.626000.911. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.123200, N = 3SE +/- 0.014153, N = 3SE +/- 0.070442, N = 3SE +/- 0.063420, N = 3SE +/- 0.035651, N = 12SE +/- 0.114795, N = 15SE +/- 0.041008, N = 3SE +/- 0.034843, N = 3SE +/- 0.013848, N = 311.1909068.0064495.6795118.5794624.17671511.0928606.3588378.3552504.5610941. (CC) gcc options: -O3 -march=native -fopenmp

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D40K80K120K160K200KSE +/- 186.86, N = 3SE +/- 56.06, N = 3SE +/- 80.81, N = 3SE +/- 151.91, N = 3SE +/- 213.27, N = 3SE +/- 98.23, N = 3SE +/- 7.71, N = 3SE +/- 200.55, N = 3SE +/- 444.52, N = 3173022.34132147.38104108.32142134.1578427.06175066.4097166.64189457.6671515.391. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Vector MathRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30K60K90K120K150KSE +/- 1868.35, N = 3SE +/- 38.31, N = 3SE +/- 43.37, N = 3SE +/- 5.16, N = 3SE +/- 15.42, N = 3SE +/- 42.17, N = 3SE +/- 53.70, N = 3SE +/- 264.24, N = 3SE +/- 6.17, N = 3146978.58102534.4973951.14109496.9655522.03138158.8167096.28118345.5258877.621. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D4080120160200SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.55, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.00, N = 363.9190.46124.4084.08165.7867.50134.5078.16168.80

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D40K80K120K160K200KSE +/- 901.16, N = 3SE +/- 53.85, N = 3SE +/- 81.47, N = 3SE +/- 174.57, N = 3SE +/- 81.55, N = 3SE +/- 116.67, N = 3SE +/- 89.32, N = 3SE +/- 522.64, N = 3SE +/- 178.29, N = 3152268.17129547.3198019.87133655.2374596.44168262.8194007.47179495.4967966.391. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D90180270360450SE +/- 0.00, N = 3SE +/- 1.20, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 2.65, N = 3SE +/- 0.33, N = 3409329230328179407236340155MIN: 56 / MAX: 5419MIN: 39 / MAX: 4761MIN: 28 / MAX: 3431MIN: 42 / MAX: 4570MIN: 21 / MAX: 2742MIN: 53 / MAX: 5124MIN: 26 / MAX: 3496MIN: 39 / MAX: 4967MIN: 17 / MAX: 2317

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 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.85951.7192.57853.4384.2975SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.01, N = 11SE +/- 0.02, N = 7SE +/- 0.01, N = 14SE +/- 0.03, N = 14SE +/- 0.01, N = 3SE +/- 0.05, N = 14SE +/- 0.00, N = 33.593.641.453.451.523.821.622.491.93MIN: 3.39 / MAX: 37.91MIN: 3.56 / MAX: 3.87MIN: 1.39 / MAX: 7.3MIN: 3.34 / MAX: 9.35MIN: 1.47 / MAX: 5.96MIN: 3.6 / MAX: 102.47MIN: 1.58 / MAX: 2.11MIN: 2.31 / MAX: 5.74MIN: 1.9 / MAX: 4.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D8000M16000M24000M32000M40000MSE +/- 14905556.09, N = 3SE +/- 17850918.80, N = 3SE +/- 23422908.44, N = 3SE +/- 9268070.35, N = 3SE +/- 8147449.84, N = 3SE +/- 34835211.23, N = 3SE +/- 22908530.99, N = 3SE +/- 48325529.12, N = 3SE +/- 977972.85, N = 33687647321725333420457187582554802777489263014019104657340830613871631720610736243747480141850253871. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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 - DegriddingRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D9001800270036004500SE +/- 9.49, N = 15SE +/- 40.19, N = 3SE +/- 9.12, N = 3SE +/- 50.07, N = 3SE +/- 15.74, N = 3SE +/- 16.51, N = 5SE +/- 18.37, N = 3SE +/- 4.72, N = 3SE +/- 3.33, N = 32838.932927.902122.352766.951916.922960.622214.884152.821579.191. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3000M6000M9000M12000M15000MSE +/- 706456.47, N = 3SE +/- 2012680.78, N = 3SE +/- 648242.55, N = 3SE +/- 2906689.88, N = 3SE +/- 1516718.41, N = 3SE +/- 4981029.00, N = 3SE +/- 1432176.29, N = 3SE +/- 8581991.69, N = 3SE +/- 1203842.14, N = 31187789624380771828506045361797895436015045215728431086594540751183187201159136397346266090371. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D80K160K240K320K400KSE +/- 115.21, N = 3SE +/- 31.72, N = 3SE +/- 192.25, N = 3SE +/- 3000.81, N = 3SE +/- 73.28, N = 3SE +/- 131.45, N = 3SE +/- 102.97, N = 3SE +/- 91.77, N = 3SE +/- 19.98, N = 3396563.6278454.9201878.7295424.5151335.5375876.2183114.1352012.9164288.01. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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: Person Vehicle Bike Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.785.074.504.716.334.804.5111.798.93MIN: 3.43 / MAX: 12.92MIN: 3.65 / MAX: 17.79MIN: 3.35 / MAX: 11.95MIN: 3.22 / MAX: 13.42MIN: 4.35 / MAX: 13.51MIN: 3.32 / MAX: 12.49MIN: 3.53 / MAX: 11.58MIN: 5.39 / MAX: 27.44MIN: 6.93 / MAX: 17.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D10K20K30K40K50KSE +/- 118.42, N = 3SE +/- 38.97, N = 3SE +/- 57.50, N = 3SE +/- 32.42, N = 3SE +/- 36.88, N = 3SE +/- 50.05, N = 3SE +/- 45.24, N = 3SE +/- 391.62, N = 7SE +/- 12.66, N = 34694032480238643498417935439162184442491186911. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D10K20K30K40K50KSE +/- 87.21, N = 3SE +/- 73.96, N = 3SE +/- 36.09, N = 3SE +/- 11.55, N = 3SE +/- 34.94, N = 3SE +/- 53.53, N = 3SE +/- 41.87, N = 3SE +/- 450.59, N = 4SE +/- 25.21, N = 34673332441238083489217882439212186042375186741. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 4.2.1Test: Boat - Acceleration: CPU-onlyRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.12592.25183.37774.50365.6295SE +/- 0.007, N = 10SE +/- 0.011, N = 9SE +/- 0.009, N = 8SE +/- 0.013, N = 9SE +/- 0.015, N = 7SE +/- 0.014, N = 9SE +/- 0.010, N = 8SE +/- 0.014, N = 10SE +/- 0.008, N = 72.3402.9693.5332.7624.4002.4953.8531.9155.004

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D40K80K120K160K200KSE +/- 404.67, N = 3SE +/- 281.33, N = 3SE +/- 56.15, N = 3SE +/- 301.73, N = 3SE +/- 209.34, N = 3SE +/- 398.09, N = 3SE +/- 60.14, N = 3SE +/- 1431.19, N = 3SE +/- 93.42, N = 3183712130797935591374557046517580487159134313741011. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: CrownRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D816243240SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 334.2825.5317.6626.1113.3934.0717.9728.7213.18MIN: 33.87 / MAX: 35.29MIN: 25.21 / MAX: 26.05MIN: 17.48 / MAX: 18.14MIN: 25.76 / MAX: 26.88MIN: 13.26 / MAX: 13.7MIN: 33.71 / MAX: 34.96MIN: 17.83 / MAX: 18.25MIN: 26.5 / MAX: 31.21MIN: 13.11 / MAX: 13.34

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D16M32M48M64M80MSE +/- 370661.05, N = 3SE +/- 577386.15, N = 5SE +/- 324778.30, N = 9SE +/- 707337.29, N = 3SE +/- 407183.28, N = 3SE +/- 920101.18, N = 3SE +/- 313445.58, N = 8SE +/- 662613.01, N = 3SE +/- 139168.95, N = 3767393185333642139398726555461552995204073174480366782826387029329539386-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

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 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.16, N = 3SE +/- 0.06, N = 4SE +/- 0.02, N = 12SE +/- 0.06, N = 7SE +/- 0.03, N = 15SE +/- 0.09, N = 15SE +/- 0.02, N = 3SE +/- 0.09, N = 15SE +/- 0.00, N = 311.4810.844.6510.094.7212.025.058.405.72MIN: 11.02 / MAX: 57.88MIN: 10.58 / MAX: 22.78MIN: 4.43 / MAX: 10.61MIN: 9.75 / MAX: 78.59MIN: 4.47 / MAX: 12.85MIN: 11.13 / MAX: 54.52MIN: 4.92 / MAX: 9.34MIN: 7.96 / MAX: 14.01MIN: 5.65 / MAX: 10.021. (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: 96000 - Buffer Size: 1024Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.34172.68344.02515.36686.7085SE +/- 0.033943, N = 3SE +/- 0.022017, N = 3SE +/- 0.004366, N = 3SE +/- 0.007006, N = 3SE +/- 0.002874, N = 3SE +/- 0.018911, N = 3SE +/- 0.006171, N = 3SE +/- 0.001969, N = 3SE +/- 0.005755, N = 35.9629953.8760993.2894054.2251902.3145915.6279043.0068864.0208622.4455751. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 DirectionRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 0.38, N = 3SE +/- 0.48, N = 3SE +/- 0.12, N = 3SE +/- 0.36, N = 3SE +/- 0.20, N = 3SE +/- 0.62, N = 3SE +/- 0.51, N = 3SE +/- 0.05, N = 3SE +/- 0.36, N = 365.9461.3576.8867.0781.5058.2967.7050.73130.041. (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: Face Detection FP16-INT8 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D150300450600750SE +/- 0.42, N = 3SE +/- 0.25, N = 3SE +/- 1.32, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.37, N = 3SE +/- 0.43, N = 3SE +/- 1.43, N = 3SE +/- 1.85, N = 3280.96308.86269.69279.40368.29305.98302.39437.85687.08MIN: 147.36 / MAX: 288.37MIN: 298.12 / MAX: 320.39MIN: 197.15 / MAX: 279.39MIN: 178.37 / MAX: 291.55MIN: 193.61 / MAX: 387.71MIN: 165.89 / MAX: 315MIN: 157.42 / MAX: 396.85MIN: 231.5 / MAX: 1155.9MIN: 349.5 / MAX: 700.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1122334455SE +/- 0.09, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.02, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.31, N = 4SE +/- 0.04, N = 350.9233.4528.1637.1521.6846.3624.8440.7820.01

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: CrownRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D714212835SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 331.8723.9016.5324.3012.5431.8816.6428.3314.35MIN: 31.55 / MAX: 32.69MIN: 23.65 / MAX: 24.33MIN: 16.29 / MAX: 16.93MIN: 24.1 / MAX: 24.75MIN: 12.4 / MAX: 12.78MIN: 31.52 / MAX: 32.48MIN: 16.44 / MAX: 16.92MIN: 26.04 / MAX: 30.39MIN: 14.26 / MAX: 14.57

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1020304050SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 324.3019.3032.5525.0636.7616.8927.2127.4242.851. (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 4.2.1Test: Masskrug - Acceleration: CPU-onlyRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.12592.25183.37774.50365.6295SE +/- 0.005, N = 9SE +/- 0.008, N = 9SE +/- 0.013, N = 8SE +/- 0.009, N = 9SE +/- 0.018, N = 8SE +/- 0.009, N = 9SE +/- 0.015, N = 8SE +/- 0.005, N = 10SE +/- 0.025, N = 72.6602.9283.5232.9424.1102.6683.3911.9735.004

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D6001200180024003000SE +/- 1.22, N = 3SE +/- 0.65, N = 3SE +/- 0.49, N = 3SE +/- 1.85, N = 3SE +/- 5.29, N = 3SE +/- 0.69, N = 3SE +/- 1.89, N = 3SE +/- 21.60, N = 3SE +/- 4.70, N = 31133.721559.982062.841431.032874.181215.852219.872132.672706.88-lpthread - MIN: 1124.52-lpthread - MIN: 1553.13-lpthread - MIN: 2052.99-lpthread - MIN: 1419.84-lpthread - MIN: 2848.45-lpthread - MIN: 1205.62-lpthread - MIN: 2211.83MIN: 1981.52MIN: 2682.881. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.87841.75682.63523.51364.392SE +/- 0.026958, N = 3SE +/- 0.012268, N = 3SE +/- 0.001267, N = 3SE +/- 0.005093, N = 3SE +/- 0.000146, N = 3SE +/- 0.033927, N = 3SE +/- 0.005611, N = 3SE +/- 0.002213, N = 3SE +/- 0.001148, N = 33.9041502.5608022.1658272.8038251.5420103.6965352.0035662.6594401.6505301. (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 compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2004006008001000SE +/- 0.28, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.31, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.32, N = 3SE +/- 0.54, N = 3328.89409.47585.86401.82743.23323.89589.62343.00817.77

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30060090012001500SE +/- 3.90, N = 3SE +/- 0.58, N = 3SE +/- 0.72, N = 3SE +/- 0.65, N = 3SE +/- 0.93, N = 3SE +/- 2.71, N = 3SE +/- 0.46, N = 3SE +/- 10.19, N = 15SE +/- 0.71, N = 3577.36802.171026.63731.941445.76623.481118.881145.561384.13-lpthread - MIN: 566.15-lpthread - MIN: 797.8-lpthread - MIN: 1018.25-lpthread - MIN: 724.15-lpthread - MIN: 1426.15-lpthread - MIN: 612.64-lpthread - MIN: 1115.12MIN: 1013.87MIN: 1369.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1326395265SE +/- 0.06, N = 5SE +/- 0.03, N = 4SE +/- 0.10, N = 3SE +/- 0.07, N = 4SE +/- 0.03, N = 3SE +/- 0.08, N = 5SE +/- 0.06, N = 3SE +/- 0.39, N = 4SE +/- 0.07, N = 359.8139.2733.9343.7226.3554.4530.0749.3224.04

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D140280420560700SE +/- 0.20, N = 3SE +/- 0.22, N = 3SE +/- 0.27, N = 3SE +/- 0.63, N = 3SE +/- 0.36, N = 3SE +/- 0.30, N = 3SE +/- 0.55, N = 3SE +/- 0.89, N = 3SE +/- 0.18, N = 3273.11337.73476.89330.17599.26269.14478.55288.27668.18

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.25072.50143.75215.00286.2535SE +/- 0.044084, N = 3SE +/- 0.015310, N = 3SE +/- 0.006900, N = 3SE +/- 0.009412, N = 3SE +/- 0.004067, N = 3SE +/- 0.042581, N = 3SE +/- 0.005899, N = 3SE +/- 0.000353, N = 3SE +/- 0.000403, N = 35.5586663.6840213.1578173.9992462.2514505.2028202.8832253.6755892.3511131. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian DragonRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D918273645SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 334.9529.5720.3529.0615.7437.2421.0134.8415.11MIN: 34.59 / MAX: 35.88MIN: 29.35 / MAX: 30.08MIN: 20.22 / MAX: 20.73MIN: 28.88 / MAX: 29.56MIN: 15.64 / MAX: 15.98MIN: 36.89 / MAX: 38.22MIN: 20.81 / MAX: 21.4MIN: 32.57 / MAX: 37.12MIN: 15.03 / MAX: 15.36

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian DragonRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D816243240SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 332.7025.8417.8625.9213.7633.7117.9932.5816.10MIN: 32.52 / MAX: 33.15MIN: 25.69 / MAX: 26.23MIN: 17.78 / MAX: 18.18MIN: 25.79 / MAX: 26.15MIN: 13.69 / MAX: 13.9MIN: 33.5 / MAX: 34.21MIN: 17.83 / MAX: 18.35MIN: 30.85 / MAX: 34.49MIN: 15.9 / MAX: 16.44

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 DirectionRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D714212835SE +/- 0.08, N = 4SE +/- 0.14, N = 4SE +/- 0.04, N = 3SE +/- 0.08, N = 4SE +/- 0.00, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 314.4912.5318.5814.6819.9012.5314.1711.3427.791. (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

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon ObjRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D714212835SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 329.0823.3216.0723.2512.4530.3116.3829.3514.50MIN: 28.87 / MAX: 29.59MIN: 23.13 / MAX: 23.72MIN: 15.95 / MAX: 16.28MIN: 23.04 / MAX: 23.56MIN: 12.38 / MAX: 12.62MIN: 29.99 / MAX: 30.83MIN: 16.26 / MAX: 16.74MIN: 27.39 / MAX: 31.28MIN: 14.38 / MAX: 14.88

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20406080100SE +/- 0.28, N = 3SE +/- 0.39, N = 3SE +/- 0.52, N = 3SE +/- 0.33, N = 3SE +/- 0.27, N = 3SE +/- 0.39, N = 3SE +/- 0.36, N = 3SE +/- 0.14, N = 3SE +/- 0.33, N = 345.7057.6977.0855.4996.3446.3280.4948.06110.97

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 4.0Time To CompileRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D90180270360450SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.19, N = 3SE +/- 0.30, N = 3SE +/- 0.07, N = 3169.65212.94296.48207.82373.15168.86298.96179.93410.00

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D70140210280350SE +/- 0.04, N = 3SE +/- 0.39, N = 3SE +/- 0.65, N = 3SE +/- 0.38, N = 3SE +/- 0.68, N = 3SE +/- 0.41, N = 3SE +/- 0.61, N = 3SE +/- 0.39, N = 3SE +/- 0.18, N = 3137.89143.85191.06150.84223.23126.80184.23192.33307.171. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D714212835SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 329.8625.2017.3624.7713.4331.7617.9630.4713.17MIN: 29.55 / MAX: 30.93MIN: 25 / MAX: 25.6MIN: 17.25 / MAX: 17.65MIN: 24.58 / MAX: 25.23MIN: 13.34 / MAX: 13.74MIN: 31.51 / MAX: 32.61MIN: 17.8 / MAX: 18.47MIN: 28.44 / MAX: 32.63MIN: 13.07 / MAX: 13.41

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 6.0Time To CompileRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1224364860SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 321.5027.5036.5526.1545.9922.0238.0323.0951.63

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.80121.60242.40363.20484.006SE +/- 0.008262, N = 3SE +/- 0.001425, N = 3SE +/- 0.008125, N = 3SE +/- 0.002243, N = 3SE +/- 0.001407, N = 3SE +/- 0.014635, N = 3SE +/- 0.004049, N = 3SE +/- 0.002121, N = 3SE +/- 0.001932, N = 33.5606902.4569492.0714842.6273521.4888723.3550911.9016952.3744141.5625781. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1020304050SE +/- 0.04, N = 4SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 4SE +/- 0.02, N = 3SE +/- 0.24, N = 4SE +/- 0.02, N = 346.3031.2026.5634.7620.4941.8423.3537.8019.37

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 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D5001000150020002500SE +/- 1.96, N = 3SE +/- 3.83, N = 3SE +/- 5.33, N = 3SE +/- 9.17, N = 3SE +/- 5.72, N = 3SE +/- 5.33, N = 3SE +/- 5.62, N = 3SE +/- 2.69, N = 3SE +/- 2.43, N = 31054.731079.72957.751004.911272.191086.141029.582282.322263.39MIN: 584.15 / MAX: 1252.03MIN: 573.65 / MAX: 1225.15MIN: 577.87 / MAX: 1051.92MIN: 641.97 / MAX: 1152.07MIN: 756.21 / MAX: 1386.95MIN: 882.23 / MAX: 1289.62MIN: 863.63 / MAX: 1081.8MIN: 1693.43 / MAX: 3076.84MIN: 2034.37 / MAX: 2413.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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: bf16bf16bf16 - Engine: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3D0.58741.17481.76222.34962.937SE +/- 0.01138, N = 5SE +/- 0.00974, N = 5SE +/- 0.01211, N = 5SE +/- 0.00626, N = 5SE +/- 0.01438, N = 5SE +/- 0.01363, N = 14SE +/- 0.00059, N = 51.561581.157802.361191.543012.610851.097571.20382MIN: 1.43MIN: 1.07MIN: 2.28MIN: 1.44MIN: 2.48MIN: 0.93MIN: 1.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

Core i9 13900K: The test run did not produce a result.

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

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.60621.21241.81862.42483.031SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 32.6082.2831.5472.2681.1922.6941.7671.1381.2401. (CXX) g++ options: -O3

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2004006008001000SE +/- 1.01, N = 3SE +/- 0.47, N = 3SE +/- 4.75, N = 3SE +/- 3.39, N = 3SE +/- 3.59, N = 3SE +/- 2.40, N = 3SE +/- 3.62, N = 3SE +/- 2.81, N = 3SE +/- 1.76, N = 3353.40439.27605.04424.14763.37355.89608.66373.09836.45

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20406080100SE +/- 0.57, N = 15SE +/- 0.48, N = 8SE +/- 0.49, N = 4SE +/- 0.47, N = 10SE +/- 0.42, N = 3SE +/- 0.51, N = 15SE +/- 0.41, N = 4SE +/- 0.59, N = 15SE +/- 0.26, N = 977.1556.3643.4061.5133.3371.9839.5265.7632.681. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

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 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D5001000150020002500SE +/- 1.27, N = 3SE +/- 2.02, N = 3SE +/- 2.87, N = 3SE +/- 3.00, N = 3SE +/- 2.11, N = 3SE +/- 3.90, N = 3SE +/- 2.76, N = 3SE +/- 10.53, N = 3SE +/- 7.05, N = 31039.191058.96960.70992.011281.591082.511025.022256.692250.81MIN: 603.68 / MAX: 1231.9MIN: 943.8 / MAX: 1194.07MIN: 853.94 / MAX: 1054.88MIN: 593.33 / MAX: 1135.95MIN: 1072.55 / MAX: 1386.43MIN: 942.47 / MAX: 1278.39MIN: 955.66 / MAX: 1088.91MIN: 1644.67 / MAX: 3018.26MIN: 2035.16 / MAX: 2420.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 0.15Time To CompileRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D4080120160200SE +/- 0.77, N = 5SE +/- 0.62, N = 3SE +/- 0.26, N = 3SE +/- 0.46, N = 3SE +/- 0.80, N = 3SE +/- 0.10, N = 3SE +/- 0.62, N = 3SE +/- 1.01, N = 3SE +/- 1.22, N = 369.7685.97114.6085.30144.6469.89119.9671.08162.52

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 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.304.784.244.295.474.684.578.449.81MIN: 2.7 / MAX: 12.77MIN: 3.46 / MAX: 16.59MIN: 2.52 / MAX: 12.88MIN: 2.71 / MAX: 11.96MIN: 3.44 / MAX: 15.09MIN: 2.86 / MAX: 14.55MIN: 2.94 / MAX: 12.12MIN: 3.7 / MAX: 29.26MIN: 5.44 / MAX: 17.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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-v3-v3 - Model: mobilenet-v3Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.74031.48062.22092.96123.7015SE +/- 0.05, N = 3SE +/- 0.01, N = 4SE +/- 0.02, N = 12SE +/- 0.03, N = 7SE +/- 0.02, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.04, N = 15SE +/- 0.01, N = 33.193.081.432.961.553.291.552.261.79MIN: 3.06 / MAX: 33.7MIN: 3.03 / MAX: 7.37MIN: 1.35 / MAX: 7.4MIN: 2.84 / MAX: 7.42MIN: 1.42 / MAX: 7.54MIN: 3.18 / MAX: 9.47MIN: 1.51 / MAX: 7.62MIN: 2.03 / MAX: 5.54MIN: 1.73 / MAX: 4.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.76731.53462.30193.06923.8365SE +/- 0.04, N = 3SE +/- 0.01, N = 4SE +/- 0.01, N = 11SE +/- 0.03, N = 7SE +/- 0.03, N = 15SE +/- 0.01, N = 15SE +/- 0.00, N = 3SE +/- 0.05, N = 15SE +/- 0.00, N = 33.253.191.503.061.633.411.652.461.95MIN: 3.15 / MAX: 9.02MIN: 3.12 / MAX: 9.3MIN: 1.44 / MAX: 7.67MIN: 2.95 / MAX: 10.86MIN: 1.5 / MAX: 7.84MIN: 3.25 / MAX: 9.47MIN: 1.61 / MAX: 5.65MIN: 2.08 / MAX: 5.57MIN: 1.88 / MAX: 5.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D40K80K120K160K200KSE +/- 280.05, N = 3SE +/- 502.29, N = 3SE +/- 82.20, N = 3SE +/- 101.82, N = 3SE +/- 206.12, N = 3SE +/- 382.02, N = 3SE +/- 286.33, N = 3SE +/- 462.74, N = 3SE +/- 92.91, N = 318376715492511395415664791081188382111593180945838001. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D60120180240300160.43139.48248.83172.51271.01124.42169.69160.65279.451. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D90018002700360045002100.711913.592506.412170.642632.441849.382115.661807.083992.991. (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

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D900K1800K2700K3600K4500KSE +/- 4728.17, N = 3SE +/- 3723.38, N = 3SE +/- 7348.92, N = 3SE +/- 4108.13, N = 3SE +/- 5512.56, N = 3SE +/- 6874.58, N = 3SE +/- 3491.25, N = 3SE +/- 127984.86, N = 15SE +/- 1184.29, N = 34124930.573510381.433221061.703646277.882439025.753982059.122927129.084312659.011966769.331. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D816243240SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 15SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 5SE +/- 0.23, N = 15SE +/- 0.11, N = 1535.9528.8218.5730.4818.8534.4418.0433.5316.501. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D50100150200250SE +/- 0.07, N = 3SE +/- 0.39, N = 3SE +/- 0.01, N = 3SE +/- 0.50, N = 3SE +/- 0.01, N = 3SE +/- 0.42, N = 3SE +/- 0.17, N = 3SE +/- 0.33, N = 3SE +/- 0.13, N = 3249.60199.16166.64209.63142.44228.75152.95228.91115.32

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered HalfspaceRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D4080120160200SE +/- 0.18, N = 3SE +/- 0.27, N = 3SE +/- 1.03, N = 3SE +/- 0.62, N = 3SE +/- 1.37, N = 3SE +/- 0.55, N = 14SE +/- 1.56, N = 12SE +/- 0.78, N = 8SE +/- 2.25, N = 378.0893.04124.9590.74160.1776.27129.7792.92164.711. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:10Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D900K1800K2700K3600K4500KSE +/- 50084.31, N = 3SE +/- 31345.84, N = 3SE +/- 8206.16, N = 3SE +/- 42060.16, N = 3SE +/- 8743.21, N = 3SE +/- 31974.02, N = 3SE +/- 4507.86, N = 3SE +/- 26634.68, N = 3SE +/- 7820.81, N = 34054196.003471647.553210247.223566082.942418021.173938540.032932694.574226015.671975072.881. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 4.2.1Test: Server Rack - Acceleration: CPU-onlyRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.0740.1480.2220.2960.37SE +/- 0.001, N = 14SE +/- 0.000, N = 14SE +/- 0.001, N = 14SE +/- 0.001, N = 14SE +/- 0.001, N = 13SE +/- 0.001, N = 14SE +/- 0.001, N = 13SE +/- 0.008, N = 15SE +/- 0.001, N = 130.1550.1890.2480.1870.3140.1570.2690.1890.329

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D60120180240300SE +/- 0.77, N = 15SE +/- 0.59, N = 10SE +/- 0.61, N = 9SE +/- 0.67, N = 10SE +/- 0.47, N = 8SE +/- 0.82, N = 10SE +/- 0.76, N = 9SE +/- 1.07, N = 10SE +/- 0.39, N = 8297.38230.39187.73253.73144.60268.52169.44258.83140.901. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

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.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2K4K6K8K10KSE +/- 0.00, N = 3SE +/- 84.09, N = 3SE +/- 42.25, N = 3SE +/- 0.00, N = 3SE +/- 40.41, N = 4SE +/- 77.53, N = 3SE +/- 66.13, N = 4SE +/- 116.10, N = 15SE +/- 53.73, N = 910710.0010008.015788.7610092.105248.8511010.708398.256598.216509.231. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D50100150200250SE +/- 1.09, N = 9SE +/- 0.68, N = 8SE +/- 0.41, N = 8SE +/- 0.56, N = 8SE +/- 0.16, N = 7SE +/- 0.91, N = 9SE +/- 0.45, N = 8SE +/- 0.76, N = 9SE +/- 0.29, N = 7217.16189.40157.56196.12131.32213.52153.49228.87110.521. (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: googlenetRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D246810SE +/- 0.23, N = 3SE +/- 0.08, N = 4SE +/- 0.09, N = 12SE +/- 0.16, N = 7SE +/- 0.12, N = 15SE +/- 0.09, N = 15SE +/- 0.00, N = 3SE +/- 0.05, N = 15SE +/- 0.01, N = 38.568.175.678.306.448.754.236.554.99MIN: 7.94 / MAX: 62.45MIN: 7.98 / MAX: 9.1MIN: 5.23 / MAX: 11.84MIN: 7.85 / MAX: 51.25MIN: 5.4 / MAX: 12.93MIN: 8.24 / MAX: 45.41MIN: 4.17 / MAX: 8.67MIN: 6.14 / MAX: 10.03MIN: 4.89 / MAX: 8.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20406080100SE +/- 0.05, N = 5SE +/- 0.13, N = 5SE +/- 0.10, N = 4SE +/- 0.16, N = 5SE +/- 0.02, N = 4SE +/- 0.28, N = 5SE +/- 0.12, N = 4SE +/- 0.15, N = 5SE +/- 0.08, N = 374.7959.5349.1364.7638.9170.0245.5466.0036.451. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VVenC

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: FastRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D246810SE +/- 0.019, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.029, N = 3SE +/- 0.010, N = 3SE +/- 0.075, N = 3SE +/- 0.016, N = 37.8056.0885.0816.6914.0597.2184.5417.0013.8141. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:5Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D900K1800K2700K3600K4500KSE +/- 8487.52, N = 3SE +/- 1748.55, N = 3SE +/- 15821.73, N = 3SE +/- 3998.91, N = 3SE +/- 5672.75, N = 3SE +/- 10711.98, N = 3SE +/- 3759.85, N = 3SE +/- 19932.19, N = 3SE +/- 2912.63, N = 34117576.043261982.163591302.953428414.422762729.113953637.223303199.784413836.892165546.591. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 8.0Test: Read While WritingRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D900K1800K2700K3600K4500KSE +/- 16167.79, N = 3SE +/- 19357.48, N = 3SE +/- 9341.69, N = 3SE +/- 15861.29, N = 3SE +/- 22094.66, N = 3SE +/- 51551.36, N = 3SE +/- 29015.93, N = 3SE +/- 97388.29, N = 15SE +/- 31212.45, N = 34368949327310028535723413765215763742845892747071403473522980141. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3K6K9K12K15KSE +/- 84.50, N = 3SE +/- 124.23, N = 3SE +/- 59.02, N = 3SE +/- 116.93, N = 3SE +/- 0.00, N = 4SE +/- 101.60, N = 3SE +/- 0.00, N = 4SE +/- 101.25, N = 15SE +/- 92.10, N = 911577.5012175.606787.1111693.206348.2812698.2010495.806336.087529.821. (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: Weld Porosity Detection FP16 - Device: CPURyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1326395265SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 35.526.045.365.487.185.985.9257.0914.46MIN: 2.89 / MAX: 13.03MIN: 3.19 / MAX: 18.63MIN: 2.76 / MAX: 11.96MIN: 2.77 / MAX: 12.72MIN: 3.73 / MAX: 14.62MIN: 3.08 / MAX: 18.15MIN: 3.09 / MAX: 17.07MIN: 23.77 / MAX: 106.18MIN: 9.65 / MAX: 23.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered HalfspaceRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 0.55, N = 3SE +/- 0.49, N = 3SE +/- 0.86, N = 3SE +/- 0.43, N = 3SE +/- 0.22, N = 3SE +/- 2.08, N = 12SE +/- 0.17, N = 3SE +/- 0.46, N = 3SE +/- 0.38, N = 378.4390.58120.7989.28147.0478.33116.2285.58156.191. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.84831.69662.54493.39324.2415SE +/- 0.05, N = 3SE +/- 0.02, N = 4SE +/- 0.04, N = 12SE +/- 0.08, N = 7SE +/- 0.02, N = 15SE +/- 0.01, N = 15SE +/- 0.00, N = 3SE +/- 0.06, N = 15SE +/- 0.00, N = 33.703.551.923.441.923.771.902.602.02MIN: 3.5 / MAX: 53.33MIN: 3.49 / MAX: 3.96MIN: 1.79 / MAX: 7.82MIN: 3.28 / MAX: 74.27MIN: 1.79 / MAX: 8.21MIN: 3.61 / MAX: 49.21MIN: 1.87 / MAX: 6.04MIN: 2.25 / MAX: 5.95MIN: 1.97 / MAX: 4.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.28572.57143.85715.14286.4285SE +/- 0.016, N = 3SE +/- 0.011, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.020, N = 3SE +/- 0.004, N = 35.7144.6043.9655.0933.2075.2923.5884.7572.9191. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. HelensRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1428425670SE +/- 0.36, N = 15SE +/- 1.26, N = 15SE +/- 0.71, N = 3SE +/- 0.59, N = 3SE +/- 0.55, N = 3SE +/- 0.39, N = 15SE +/- 0.22, N = 3SE +/- 0.08, N = 3SE +/- 0.43, N = 331.7240.3253.3142.4762.0432.5048.4532.4256.711. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

ASKAP

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

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D160320480640800SE +/- 1.79, N = 4SE +/- 0.97, N = 5SE +/- 0.73, N = 4SE +/- 0.48, N = 4SE +/- 0.91, N = 4SE +/- 2.05, N = 5SE +/- 2.05, N = 5SE +/- 1.93, N = 5SE +/- 1.47, N = 4442.50552.49423.73439.08379.87547.68739.67625.81484.861. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 0.21, N = 3SE +/- 0.12, N = 4SE +/- 0.08, N = 12SE +/- 0.54, N = 7SE +/- 0.05, N = 15SE +/- 0.47, N = 15SE +/- 0.08, N = 3SE +/- 0.24, N = 15SE +/- 0.70, N = 377.8393.6492.9182.76104.5083.99104.25116.27150.76MIN: 77.15 / MAX: 95.52MIN: 89.62 / MAX: 106.59MIN: 91.95 / MAX: 100.2MIN: 80.59 / MAX: 95.97MIN: 103.57 / MAX: 122.52MIN: 80.13 / MAX: 96.76MIN: 103.53 / MAX: 109.28MIN: 113.98 / MAX: 619.4MIN: 148.3 / MAX: 171.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Ryzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D50K100K150K200K250KSE +/- 2209.61, N = 3SE +/- 1321.81, N = 6SE +/- 1686.11, N = 4SE +/- 231.96, N = 3SE +/- 1923.49, N = 3SE +/- 1041.65, N = 3SE +/- 2827.48, N = 3SE +/- 289.05, N = 3163211.39134983.40140125.35117763.77223853.85185660.65227244.87121503.761. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D50100150200250SE +/- 0.40, N = 9SE +/- 0.64, N = 9SE +/- 0.37, N = 8SE +/- 0.38, N = 9SE +/- 0.33, N = 8SE +/- 0.33, N = 9SE +/- 0.22, N = 8SE +/- 0.92, N = 9SE +/- 0.24, N = 7222.22193.06168.74202.87140.88214.84160.18226.21117.441. (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: 12 - Compression SpeedRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D70140210280350SE +/- 0.63, N = 3SE +/- 1.32, N = 3SE +/- 0.72, N = 3SE +/- 0.55, N = 3SE +/- 0.39, N = 3SE +/- 1.67, N = 3SE +/- 0.33, N = 3SE +/- 0.50, N = 3SE +/- 0.32, N = 3254.7299.5195.6248.6182.3299.9252.3257.7156.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2004006008001000SE +/- 2.65, N = 3SE +/- 0.90, N = 3SE +/- 0.94, N = 3SE +/- 0.94, N = 3SE +/- 0.99, N = 3SE +/- 3.26, N = 3SE +/- 0.58, N = 3SE +/- 2.58, N = 3SE +/- 0.32, N = 3856.4941.8561.1808.9523.51001.3788.9727.7600.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2004006008001000SE +/- 5.55, N = 15SE +/- 5.44, N = 3SE +/- 1.90, N = 3SE +/- 3.12, N = 3SE +/- 0.64, N = 3SE +/- 7.92, N = 10SE +/- 4.78, N = 3SE +/- 2.26, N = 3SE +/- 0.43, N = 3836.71031.0551.0862.8543.21036.7725.0793.9574.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 39.899.819.759.419.628.858.568.095.191. (CXX) g++ options: -O3

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D800K1600K2400K3200K4000KSE +/- 9156.34, N = 3SE +/- 12961.93, N = 3SE +/- 3852.05, N = 3SE +/- 16289.33, N = 3SE +/- 1020.78, N = 3SE +/- 6280.08, N = 3SE +/- 2677.16, N = 3SE +/- 42421.05, N = 4SE +/- 5862.32, N = 33693334.623179844.533147488.473381093.612391691.963554398.242828119.633499634.161941036.211. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:100Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D800K1600K2400K3200K4000KSE +/- 13706.17, N = 3SE +/- 7626.67, N = 3SE +/- 10122.13, N = 3SE +/- 7441.98, N = 3SE +/- 1590.55, N = 3SE +/- 6589.95, N = 3SE +/- 4434.66, N = 3SE +/- 12308.90, N = 3SE +/- 7980.03, N = 33690970.443183961.703162482.243374511.842388901.553564857.902838575.683547063.371955788.331. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 500Ryzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D50K100K150K200K250KSE +/- 1520.67, N = 3SE +/- 178.88, N = 3SE +/- 527.82, N = 3SE +/- 122.53, N = 3SE +/- 1704.31, N = 3SE +/- 1644.30, N = 3SE +/- 2023.06, N = 3SE +/- 1102.70, N = 3177117.15161549.06158235.02137368.84230091.81185054.28231115.35122553.601. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.05752.1153.17254.235.2875SE +/- 0.08, N = 3SE +/- 0.04, N = 4SE +/- 0.02, N = 12SE +/- 0.04, N = 7SE +/- 0.03, N = 15SE +/- 0.05, N = 15SE +/- 0.00, N = 3SE +/- 0.05, N = 15SE +/- 0.01, N = 34.654.362.624.192.854.702.503.773.33MIN: 4.46 / MAX: 47.15MIN: 4.27 / MAX: 7.21MIN: 2.43 / MAX: 8.76MIN: 4.02 / MAX: 10.5MIN: 2.55 / MAX: 9.26MIN: 4.42 / MAX: 107.07MIN: 2.47 / MAX: 6.52MIN: 3.36 / MAX: 8.01MIN: 3.25 / MAX: 6.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

VVenC

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: FasterRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D48121620SE +/- 0.007, N = 3SE +/- 0.024, N = 3SE +/- 0.011, N = 3SE +/- 0.019, N = 3SE +/- 0.003, N = 3SE +/- 0.029, N = 3SE +/- 0.006, N = 3SE +/- 0.104, N = 3SE +/- 0.005, N = 315.13312.36510.65213.4858.79114.1939.59414.0058.0531. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic ModelRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1326395265SE +/- 0.47, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.50, N = 3SE +/- 0.70, N = 12SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.63, N = 434.1636.8145.6233.7159.1835.0148.7431.6555.211. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous HalfspaceRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1632486480SE +/- 0.66, N = 15SE +/- 0.21, N = 3SE +/- 0.64, N = 4SE +/- 0.33, N = 3SE +/- 0.10, N = 3SE +/- 1.11, N = 15SE +/- 0.34, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 341.7746.2457.7844.3174.1343.0660.5639.7568.411. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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, Medium Mesh Size - Mesh TimeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D70140210280350189.28196.48232.39201.08264.53180.59226.63195.97335.471. (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

VVenC

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 1080p - Video Preset: FastRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D612182430SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 323.8219.7317.3521.7414.1321.9815.4621.1312.841. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 38.417.328.448.218.337.597.356.884.551. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 310.058.9710.139.809.969.238.857.935.471. (CXX) g++ options: -O3

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 200Ryzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D50K100K150K200K250KSE +/- 390.67, N = 3SE +/- 1030.94, N = 3SE +/- 434.31, N = 3SE +/- 8.76, N = 3SE +/- 778.22, N = 3SE +/- 2197.90, N = 3SE +/- 1189.07, N = 3SE +/- 959.56, N = 3204878.18202785.74211000.52164764.69204101.12192325.37235954.78127627.011. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 100Ryzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D50K100K150K200K250KSE +/- 1107.24, N = 3SE +/- 110.57, N = 3SE +/- 526.72, N = 3SE +/- 51.74, N = 3SE +/- 596.08, N = 3SE +/- 1551.10, N = 3SE +/- 1408.71, N = 3SE +/- 106.02, N = 3185877.55198848.67156497.14157972.36164236.15186235.49214557.59116575.511. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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 SuiteRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D400K800K1200K1600K2000KSE +/- 6959.54, N = 4SE +/- 6424.80, N = 4SE +/- 12733.05, N = 5SE +/- 3277.14, N = 4SE +/- 12214.58, N = 4SE +/- 9474.53, N = 4SE +/- 4872.93, N = 3SE +/- 1462.47, N = 4SE +/- 7557.27, N = 312575381207500124344512620581216655122630111379761672131913745

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 8.0Test: Read Random Write RandomRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D700K1400K2100K2800K3500KSE +/- 2560.84, N = 3SE +/- 17306.41, N = 3SE +/- 2937.85, N = 3SE +/- 1917.12, N = 3SE +/- 20894.08, N = 3SE +/- 14308.15, N = 3SE +/- 1832.71, N = 3SE +/- 9293.42, N = 3SE +/- 2965.88, N = 33473140269434726754482820528211349033429842539844302057019221381. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Update RandomRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D200K400K600K800K1000KSE +/- 4634.57, N = 3SE +/- 616.11, N = 3SE +/- 988.06, N = 3SE +/- 2015.96, N = 3SE +/- 2736.72, N = 3SE +/- 2456.99, N = 3SE +/- 1031.28, N = 3SE +/- 9151.61, N = 3SE +/- 1344.87, N = 39897308099308372168445217271889588527817958301865579321. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

PyBench

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D150300450600750SE +/- 0.85, N = 4SE +/- 2.16, N = 4SE +/- 1.35, N = 4SE +/- 2.29, N = 4SE +/- 1.58, N = 4SE +/- 5.78, N = 15SE +/- 1.89, N = 4SE +/- 0.37, N = 5SE +/- 6.06, N = 4510520504513513556581390690

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: resnet18Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D246810SE +/- 0.05, N = 3SE +/- 0.03, N = 4SE +/- 0.08, N = 12SE +/- 0.08, N = 7SE +/- 0.11, N = 15SE +/- 0.09, N = 15SE +/- 0.02, N = 3SE +/- 0.17, N = 15SE +/- 0.01, N = 37.406.416.037.086.726.814.315.775.60MIN: 7.09 / MAX: 46.96MIN: 6.29 / MAX: 8.71MIN: 5.54 / MAX: 11.95MIN: 6.81 / MAX: 42.71MIN: 5.86 / MAX: 14.93MIN: 6.41 / MAX: 35.28MIN: 4.17 / MAX: 8.58MIN: 5.23 / MAX: 410.24MIN: 5.45 / MAX: 8.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 0.21, N = 7SE +/- 0.15, N = 7SE +/- 0.46, N = 6SE +/- 0.14, N = 7SE +/- 0.48, N = 6SE +/- 0.22, N = 7SE +/- 0.60, N = 6SE +/- 0.25, N = 6SE +/- 0.62, N = 7122.99102.7191.94112.6786.31112.9987.3588.3071.741. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: vgg16Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D816243240SE +/- 0.49, N = 3SE +/- 0.25, N = 4SE +/- 0.17, N = 12SE +/- 0.19, N = 7SE +/- 0.27, N = 15SE +/- 0.22, N = 15SE +/- 0.38, N = 3SE +/- 0.19, N = 15SE +/- 0.06, N = 325.7624.4125.0924.7927.2325.1220.4319.1932.75MIN: 24 / MAX: 67.23MIN: 23.76 / MAX: 35.62MIN: 23.53 / MAX: 32.47MIN: 23.78 / MAX: 103.04MIN: 25.47 / MAX: 46.51MIN: 23.5 / MAX: 69.69MIN: 19.44 / MAX: 55.18MIN: 18.18 / MAX: 642.55MIN: 32.24 / MAX: 39.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: EigenRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D400800120016002000SE +/- 14.31, N = 3SE +/- 6.66, N = 3SE +/- 2.33, N = 3SE +/- 6.12, N = 3SE +/- 7.31, N = 3SE +/- 20.63, N = 3SE +/- 5.51, N = 3SE +/- 18.68, N = 3SE +/- 9.70, N = 31768177215391744148418571588182211041. (CXX) g++ options: -flto -pthread

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 13SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.895.965.936.055.875.555.365.333.611. (CXX) g++ options: -O3

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 4KRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D90180270360450SE +/- 2.95, N = 5SE +/- 0.63, N = 5SE +/- 0.30, N = 5SE +/- 3.53, N = 5SE +/- 0.06, N = 4SE +/- 1.07, N = 5SE +/- 0.12, N = 5SE +/- 4.00, N = 5SE +/- 0.42, N = 4395.58366.43343.08368.45275.71402.89351.94413.19248.26-lm-lm1. (CC) gcc options: -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: squeezenet_ssdRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.27, N = 3SE +/- 0.27, N = 4SE +/- 0.10, N = 12SE +/- 0.10, N = 7SE +/- 0.10, N = 15SE +/- 0.10, N = 15SE +/- 0.19, N = 3SE +/- 0.17, N = 15SE +/- 0.08, N = 312.4611.669.3511.919.5911.907.509.078.45MIN: 11.85 / MAX: 54.46MIN: 10.93 / MAX: 12.45MIN: 8.66 / MAX: 16MIN: 11.32 / MAX: 29.07MIN: 8.75 / MAX: 17MIN: 11.04 / MAX: 71.93MIN: 7.04 / MAX: 15.72MIN: 7.7 / MAX: 459.12MIN: 8.17 / MAX: 12.141. (CXX) g++ options: -O3 -rdynamic -lgomp -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, Third RunRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D70140210280350SE +/- 2.59, N = 3SE +/- 2.69, N = 4SE +/- 0.98, N = 3SE +/- 4.91, N = 3SE +/- 0.72, N = 3SE +/- 1.89, N = 3SE +/- 1.49, N = 3SE +/- 6.12, N = 3SE +/- 0.73, N = 3276.80303.04252.60286.69230.63314.37272.52307.47190.90MIN: 15.24 / MAX: 12000MIN: 14.81 / MAX: 12000MIN: 11.25 / MAX: 10000MIN: 16.3 / MAX: 12000MIN: 8.23 / MAX: 8571.43MIN: 15.78 / MAX: 10000MIN: 10.11 / MAX: 10000MIN: 20.13 / MAX: 10000MIN: 8.05 / MAX: 10000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D70140210280350SE +/- 2.09, N = 3SE +/- 3.38, N = 4SE +/- 1.65, N = 3SE +/- 1.26, N = 3SE +/- 2.82, N = 3SE +/- 1.34, N = 3SE +/- 0.45, N = 3SE +/- 4.79, N = 3SE +/- 0.67, N = 3275.51301.88251.53281.89230.06312.03272.42311.40190.04MIN: 15.29 / MAX: 12000MIN: 14.88 / MAX: 10000MIN: 11.12 / MAX: 10000MIN: 16.21 / MAX: 10000MIN: 8.13 / MAX: 10000MIN: 16.36 / MAX: 10000MIN: 10.13 / MAX: 10000MIN: 20.33 / MAX: 12000MIN: 8.07 / MAX: 10000

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: alexnetRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.12952.2593.38854.5185.6475SE +/- 0.15, N = 3SE +/- 0.09, N = 4SE +/- 0.06, N = 12SE +/- 0.07, N = 7SE +/- 0.03, N = 15SE +/- 0.06, N = 15SE +/- 0.01, N = 3SE +/- 0.02, N = 15SE +/- 0.00, N = 35.024.074.274.734.404.373.074.194.37MIN: 4.59 / MAX: 13.02MIN: 3.93 / MAX: 9.02MIN: 3.85 / MAX: 14.57MIN: 4.46 / MAX: 10.76MIN: 4.18 / MAX: 10.81MIN: 4.03 / MAX: 11.7MIN: 2.9 / MAX: 7.3MIN: 4 / MAX: 7.52MIN: 4.25 / MAX: 8.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D81624324022.4926.1730.4024.8834.2324.3529.6928.0236.201. (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

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D60120180240300SE +/- 2.36, N = 3SE +/- 2.81, N = 4SE +/- 1.75, N = 3SE +/- 0.86, N = 3SE +/- 1.01, N = 3SE +/- 1.96, N = 3SE +/- 1.95, N = 3SE +/- 0.49, N = 3SE +/- 0.89, N = 3247.72268.00229.19255.89215.22284.21252.71283.22176.96MIN: 12.58 / MAX: 8571.43MIN: 14.53 / MAX: 10000MIN: 10.92 / MAX: 10000MIN: 15.79 / MAX: 8571.43MIN: 8.16 / MAX: 8571.43MIN: 13.26 / MAX: 8571.43MIN: 9.95 / MAX: 10000MIN: 16.51 / MAX: 8571.43MIN: 7.84 / MAX: 8571.43

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous Suite 2021.11.02Backend: OpenMP - Kernel: Points2ImageRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D9K18K27K36K45KSE +/- 295.31, N = 3SE +/- 316.23, N = 3SE +/- 314.26, N = 3SE +/- 167.57, N = 3SE +/- 591.48, N = 3SE +/- 154.29, N = 3SE +/- 283.28, N = 3SE +/- 35.50, N = 3SE +/- 204.74, N = 335141.5434161.8541450.6535526.6743360.5933484.3740462.2529639.6727310.781. (CXX) g++ options: -O3 -std=c++11 -fopenmp

VVenC

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 1080p - Video Preset: FasterRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1020304050SE +/- 0.20, N = 4SE +/- 0.06, N = 4SE +/- 0.06, N = 4SE +/- 0.04, N = 4SE +/- 0.06, N = 3SE +/- 0.12, N = 4SE +/- 0.01, N = 3SE +/- 0.36, N = 4SE +/- 0.04, N = 344.9539.9537.7643.0931.9442.2434.1142.0828.431. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous Suite 2021.11.02Backend: OpenMP - Kernel: Euclidean ClusterRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D5001000150020002500SE +/- 3.08, N = 5SE +/- 4.87, N = 5SE +/- 3.57, N = 5SE +/- 2.58, N = 5SE +/- 0.86, N = 5SE +/- 14.88, N = 5SE +/- 0.25, N = 5SE +/- 16.77, N = 9SE +/- 0.77, N = 42315.402173.132281.332310.292118.192207.792055.972072.821468.261. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D48121620SE +/- 0.15, N = 3SE +/- 0.31, N = 4SE +/- 0.17, N = 12SE +/- 0.03, N = 7SE +/- 0.15, N = 15SE +/- 0.17, N = 15SE +/- 0.03, N = 3SE +/- 0.55, N = 15SE +/- 0.38, N = 315.1914.6712.2714.0312.8114.839.6713.0012.16MIN: 13.93 / MAX: 77.91MIN: 14.02 / MAX: 22MIN: 11.1 / MAX: 20.03MIN: 13.69 / MAX: 20.11MIN: 11.56 / MAX: 20.25MIN: 13.58 / MAX: 70.75MIN: 9.37 / MAX: 17.3MIN: 10.96 / MAX: 1116.15MIN: 11.35 / MAX: 17.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.04, N = 3SE +/- 0.10, N = 4SE +/- 0.09, N = 12SE +/- 0.08, N = 7SE +/- 0.06, N = 15SE +/- 0.08, N = 15SE +/- 0.01, N = 3SE +/- 0.23, N = 15SE +/- 0.09, N = 39.239.107.028.437.289.275.977.377.12MIN: 9 / MAX: 53.87MIN: 8.79 / MAX: 37.18MIN: 6.46 / MAX: 13.43MIN: 8.01 / MAX: 14.61MIN: 6.76 / MAX: 13.64MIN: 8.73 / MAX: 47.39MIN: 5.89 / MAX: 12.08MIN: 6.34 / MAX: 11.74MIN: 6.94 / MAX: 15.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: UploadRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D918273645SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 337.5132.6833.5135.9731.1334.5230.0331.4324.311. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: UploadRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20406080100SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 367.3277.2675.3570.2081.1173.1584.1080.33103.851. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 ChromeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D100200300400500SE +/- 1.67, N = 3SE +/- 2.19, N = 3SE +/- 1.15, N = 3SE +/- 2.52, N = 3SE +/- 1.76, N = 3SE +/- 3.46, N = 3SE +/- 1.76, N = 3SE +/- 1.20, N = 3SE +/- 2.03, N = 33993794023953953823734472911. chrome 111.0.5563.110

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2004006008001000SE +/- 6.18, N = 3SE +/- 5.29, N = 3SE +/- 3.65, N = 3SE +/- 6.04, N = 3SE +/- 2.61, N = 3SE +/- 3.90, N = 3SE +/- 1.93, N = 3SE +/- 4.62, N = 3SE +/- 1.94, N = 3945.33924.61964.34934.87946.66945.79853.96781.05627.95

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: LargeRandomRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.43430.86861.30291.73722.1715SE +/- 0.00, N = 3SE +/- 0.01, N = 13SE +/- 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 = 31.831.681.841.781.831.711.661.931.261. (CXX) g++ options: -O3

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: PlatformRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20406080100SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 377.1567.3169.0473.5464.6970.8062.2664.5350.491. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: PlatformRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 0.05, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.24, N = 398.19112.54109.72103.01117.10106.99121.66117.38150.021. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On DemandRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.31, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 3SE +/- 0.12, N = 398.22112.71109.64102.84117.00106.58121.72117.00149.711. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: Video On DemandRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20406080100SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 377.1267.2169.0973.6664.7571.0862.2364.7550.601. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: FirefoxRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D510152025SE +/- 0.10, N = 5SE +/- 0.06, N = 5SE +/- 0.04, N = 5SE +/- 0.23, N = 3SE +/- 0.02, N = 5SE +/- 0.31, N = 15SE +/- 0.05, N = 5SE +/- 0.06, N = 3SE +/- 0.08, N = 518.118.117.717.917.918.920.114.822.41. firefox 111.0.1

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 SpeedRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D6001200180024003000SE +/- 3.94, N = 15SE +/- 8.46, N = 3SE +/- 7.19, N = 3SE +/- 1.55, N = 3SE +/- 1.54, N = 3SE +/- 6.71, N = 10SE +/- 4.82, N = 3SE +/- 0.83, N = 3SE +/- 17.45, N = 32369.42343.72389.32397.82359.72404.22129.22597.51723.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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 ChromeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D60120180240300SE +/- 0.05, N = 5SE +/- 2.93, N = 15SE +/- 0.06, N = 4SE +/- 0.88, N = 4SE +/- 0.02, N = 4SE +/- 2.89, N = 15SE +/- 0.04, N = 4SE +/- 1.47, N = 15SE +/- 0.40, N = 4217.97230.91226.11220.88230.42229.47249.44178.75266.551. chrome 111.0.5563.110

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 SpeedRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D6001200180024003000SE +/- 14.03, N = 3SE +/- 1.83, N = 3SE +/- 10.67, N = 3SE +/- 9.40, N = 3SE +/- 6.14, N = 3SE +/- 13.71, N = 3SE +/- 3.13, N = 3SE +/- 0.44, N = 3SE +/- 8.43, N = 32392.62369.82413.62421.92396.92410.02132.62599.01748.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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: FirefoxRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D70140210280350SE +/- 0.39, N = 3SE +/- 4.00, N = 3SE +/- 3.72, N = 3SE +/- 2.10, N = 3SE +/- 0.81, N = 3SE +/- 2.89, N = 3SE +/- 1.11, N = 3SE +/- 0.58, N = 3SE +/- 0.37, N = 3304.8291.5307.4304.6311.2294.8292.7322.0218.01. firefox 111.0.1

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous Suite 2021.11.02Backend: OpenMP - Kernel: NDT MappingRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30060090012001500SE +/- 1.27, N = 4SE +/- 2.10, N = 4SE +/- 1.53, N = 4SE +/- 3.30, N = 3SE +/- 2.72, N = 4SE +/- 10.82, N = 15SE +/- 2.57, N = 3SE +/- 10.16, N = 15SE +/- 1.29, N = 31472.061397.771510.771462.041498.881424.881554.811351.511061.981. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 SpeedRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D6001200180024003000SE +/- 6.06, N = 3SE +/- 4.35, N = 3SE +/- 4.81, N = 3SE +/- 35.99, N = 3SE +/- 4.29, N = 3SE +/- 8.69, N = 3SE +/- 4.45, N = 3SE +/- 2.38, N = 3SE +/- 2.99, N = 32463.92426.52465.42419.62451.62488.22228.12583.21769.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30060090012001500SE +/- 2.93, N = 10SE +/- 0.87, N = 10SE +/- 1.92, N = 10SE +/- 2.36, N = 10SE +/- 3.14, N = 9SE +/- 1.20, N = 10SE +/- 0.62, N = 10SE +/- 1.04, N = 10SE +/- 0.48, N = 91509.371269.551440.051382.591199.851409.201359.901426.361042.16-lm-lm1. (CC) gcc options: -pthread

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Features 2DRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D10K20K30K40K50KSE +/- 241.97, N = 3SE +/- 332.34, N = 3SE +/- 58.62, N = 3SE +/- 229.68, N = 3SE +/- 308.26, N = 3SE +/- 88.66, N = 3SE +/- 349.03, N = 6SE +/- 2054.02, N = 15SE +/- 374.31, N = 33382837002312163421433758354343534144976409281. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: LiveRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D816243240SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 325.5528.4927.1126.1628.9127.6729.7427.8036.111. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.0Encoder: libx265 - Scenario: LiveRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D4080120160200SE +/- 0.39, N = 3SE +/- 0.80, N = 3SE +/- 0.26, N = 3SE +/- 0.74, N = 3SE +/- 0.54, N = 3SE +/- 0.80, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.44, N = 3197.63177.25186.28193.02174.70182.49169.79181.66139.841. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: resnet50Ryzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.38, N = 3SE +/- 0.33, N = 4SE +/- 0.13, N = 12SE +/- 0.14, N = 7SE +/- 0.16, N = 15SE +/- 0.16, N = 15SE +/- 0.19, N = 3SE +/- 0.04, N = 15SE +/- 0.40, N = 312.8312.3510.7412.3211.7212.299.099.4912.58MIN: 11.77 / MAX: 58.3MIN: 11.6 / MAX: 19.3MIN: 9.53 / MAX: 17.28MIN: 11.71 / MAX: 43.73MIN: 10.57 / MAX: 19.6MIN: 11.39 / MAX: 46.78MIN: 8.59 / MAX: 16.96MIN: 9.2 / MAX: 135.62MIN: 11.98 / MAX: 16.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3M6M9M12M15MSE +/- 39367.46, N = 4SE +/- 163590.17, N = 15SE +/- 32233.35, N = 4SE +/- 8893.12, N = 4SE +/- 12046.55, N = 4SE +/- 101052.94, N = 15SE +/- 6153.93, N = 4SE +/- 54773.41, N = 4SE +/- 2268.62, N = 31543190513447511151256591451033814830582145666941318849714429556109513011. (CC) gcc options: -pthread -lstdc++ -fprofile-use -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: 19 - Decompression SpeedRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D5001000150020002500SE +/- 6.76, N = 3SE +/- 25.42, N = 15SE +/- 2.34, N = 3SE +/- 7.38, N = 3SE +/- 4.49, N = 3SE +/- 19.59, N = 15SE +/- 2.25, N = 3SE +/- 0.17, N = 3SE +/- 9.39, N = 32124.52062.82154.72175.52108.21981.11945.42211.21572.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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 ChromeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D80160240320400SE +/- 2.58, N = 3SE +/- 2.32, N = 3SE +/- 1.24, N = 3SE +/- 0.60, N = 3SE +/- 1.03, N = 3SE +/- 3.25, N = 3SE +/- 1.05, N = 3SE +/- 1.22, N = 3SE +/- 1.07, N = 3347.40322.63366.44346.17360.05329.35329.55377.81269.351. chrome 111.0.5563.110

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 - Compression SpeedRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D48121620SE +/- 0.14, N = 5SE +/- 0.13, N = 15SE +/- 0.00, N = 3SE +/- 0.12, N = 15SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 312.914.411.612.811.715.013.711.610.71. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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 2.10.34Test: resizeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.126, N = 4SE +/- 0.100, N = 4SE +/- 0.027, N = 5SE +/- 0.069, N = 4SE +/- 0.032, N = 5SE +/- 0.040, N = 4SE +/- 0.029, N = 5SE +/- 0.080, N = 4SE +/- 0.053, N = 412.24413.3139.50512.3269.55912.79610.41212.96613.162

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 ChromeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D7001400210028003500SE +/- 1.15, N = 3SE +/- 6.89, N = 3SE +/- 4.36, N = 3SE +/- 13.54, N = 3SE +/- 7.54, N = 3SE +/- 7.88, N = 3SE +/- 3.79, N = 3SE +/- 13.28, N = 3SE +/- 9.61, N = 32412317531213138242531592501227926221. chrome 111.0.5563.110

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Image ProcessingRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20K40K60K80K100KSE +/- 840.30, N = 3SE +/- 764.22, N = 15SE +/- 383.74, N = 3SE +/- 315.95, N = 3SE +/- 959.48, N = 3SE +/- 750.41, N = 15SE +/- 639.33, N = 3SE +/- 403.67, N = 3SE +/- 602.63, N = 37986485537626068153668959815376835861470794441. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D50100150200250SE +/- 1.84, N = 3SE +/- 0.89, N = 3SE +/- 1.17, N = 3SE +/- 2.30, N = 3SE +/- 0.86, N = 3SE +/- 1.79, N = 3SE +/- 2.58, N = 4SE +/- 1.64, N = 5189.72207.59203.57208.30198.86192.01217.43156.271. firefox 111.0.1

Benchmark: Jetstream 2 - Browser: Firefox

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)

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 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D714212835SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.23, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.35, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 323.6721.7128.5124.0720.5022.0926.2522.4722.311. (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 ChromeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D100200300400500SE +/- 0.87, N = 4SE +/- 2.74, N = 3SE +/- 0.81, N = 3SE +/- 2.36, N = 3SE +/- 0.58, N = 4SE +/- 2.50, N = 3SE +/- 2.22, N = 3SE +/- 0.47, N = 4SE +/- 6.46, N = 3346.0380.5344.6349.9349.1378.7389.9339.3470.41. chrome 111.0.5563.110

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 2.10.34Test: rotateRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.015, N = 5SE +/- 0.008, N = 5SE +/- 0.066, N = 5SE +/- 0.011, N = 5SE +/- 0.004, N = 5SE +/- 0.016, N = 5SE +/- 0.061, N = 5SE +/- 0.012, N = 5SE +/- 0.015, N = 48.7279.7678.8748.9218.8679.1649.8099.37912.040

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: unsharp-maskRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D48121620SE +/- 0.01, N = 4SE +/- 0.04, N = 4SE +/- 0.07, N = 5SE +/- 0.01, N = 4SE +/- 0.00, N = 5SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 412.4412.9410.2312.4110.1413.1611.1911.9013.94

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: FirefoxRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D70140210280350SE +/- 2.24, N = 4SE +/- 1.63, N = 4SE +/- 0.06, N = 4SE +/- 2.88, N = 4SE +/- 0.07, N = 3SE +/- 0.64, N = 4SE +/- 0.02, N = 4SE +/- 0.11, N = 4SE +/- 0.55, N = 4244.7245.4246.0245.0249.7260.1269.2221.6303.81. firefox 111.0.1

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Graph APIRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30K60K90K120K150KSE +/- 1720.08, N = 3SE +/- 1219.53, N = 3SE +/- 721.51, N = 3SE +/- 464.42, N = 3SE +/- 517.47, N = 3SE +/- 856.06, N = 3SE +/- 633.81, N = 3SE +/- 1003.72, N = 3SE +/- 598.09, N = 31220651388391117731236051136001392841208641121631520031. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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 2.10.34Test: auto-levelsRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.010, N = 5SE +/- 0.041, N = 5SE +/- 0.009, N = 5SE +/- 0.015, N = 5SE +/- 0.007, N = 5SE +/- 0.066, N = 4SE +/- 0.006, N = 5SE +/- 0.018, N = 5SE +/- 0.013, N = 410.05910.6009.09810.0289.20510.83510.02310.07812.354

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: FirefoxRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D6001200180024003000SE +/- 3.61, N = 3SE +/- 12.98, N = 3SE +/- 1.00, N = 3SE +/- 3.18, N = 3SE +/- 4.33, N = 3SE +/- 6.69, N = 3SE +/- 1.76, N = 3SE +/- 2.00, N = 3SE +/- 3.48, N = 32128219227992814212528662857211623881. firefox 111.0.1

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D140280420560700SE +/- 1.24, N = 3SE +/- 4.91, N = 15SE +/- 0.95, N = 3SE +/- 5.61, N = 4SE +/- 3.77, N = 3SE +/- 5.32, N = 15SE +/- 1.99, N = 3SE +/- 3.27, N = 3SE +/- 2.90, N = 3482.8507.4464.0479.9467.8502.3516.1513.8628.01. firefox 111.0.1

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D246810SE +/- 0.010, N = 8SE +/- 0.018, N = 8SE +/- 0.005, N = 8SE +/- 0.012, N = 8SE +/- 0.006, N = 8SE +/- 0.033, N = 8SE +/- 0.007, N = 8SE +/- 0.026, N = 7SE +/- 0.015, N = 74.6164.7914.6654.8114.6774.7104.6715.6026.150

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D612182430SE +/- 0.07, N = 3SE +/- 0.33, N = 15SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.34, N = 15SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 323.525.220.523.420.425.323.820.819.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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 4KRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 310.889.8411.6110.828.749.9910.5110.618.781. (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 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D510152025SE +/- 0.15, N = 15SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 321.8219.3322.3721.3217.2519.7820.1421.0316.881. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D4080120160200SE +/- 0.06, N = 3SE +/- 3.40, N = 12SE +/- 0.10, N = 3SE +/- 0.70, N = 3SE +/- 1.01, N = 3SE +/- 2.15, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 1.11, N = 15167.14188.84153.11174.83151.11186.00177.72179.32143.021. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -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: Chimera 1080pRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2004006008001000SE +/- 0.87, N = 5SE +/- 0.15, N = 5SE +/- 2.08, N = 5SE +/- 1.78, N = 5SE +/- 0.58, N = 5SE +/- 0.84, N = 5SE +/- 0.40, N = 5SE +/- 0.52, N = 5SE +/- 0.34, N = 4991.48861.741011.83943.85876.16913.12996.71975.60767.92-lm-lm1. (CC) gcc options: -pthread

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 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1122334455SE +/- 0.16, N = 4SE +/- 0.13, N = 4SE +/- 0.16, N = 4SE +/- 0.26, N = 4SE +/- 0.13, N = 4SE +/- 0.05, N = 4SE +/- 0.12, N = 4SE +/- 0.05, N = 4SE +/- 0.27, N = 443.7639.1049.7543.6449.9740.1344.6046.9838.341. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

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 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D2004006008001000SE +/- 5.76, N = 5SE +/- 1.18, N = 5SE +/- 5.31, N = 5SE +/- 1.56, N = 5SE +/- 0.57, N = 5SE +/- 0.47, N = 5SE +/- 0.87, N = 5SE +/- 0.18, N = 4SE +/- 0.17, N = 4865.98789.57865.98839.58800.69831.74906.30700.90696.34-lm-lm1. (CC) gcc options: -pthread

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 1.5.6Model: Church FacadeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D10002000300040005000SE +/- 4.69, N = 7SE +/- 5.87, N = 8SE +/- 3.24, N = 7SE +/- 6.18, N = 7SE +/- 7.77, N = 7SE +/- 4.07, N = 8SE +/- 2.76, N = 8SE +/- 18.56, N = 7SE +/- 3.52, N = 74400364744884576451436143632416042691. (CXX) g++ options: -O3

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: StitchingRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30K60K90K120K150KSE +/- 1257.43, N = 3SE +/- 1677.00, N = 3SE +/- 221.94, N = 3SE +/- 363.44, N = 3SE +/- 223.20, N = 3SE +/- 352.62, N = 3SE +/- 240.29, N = 3SE +/- 1144.72, N = 3SE +/- 190.93, N = 31110071233641074071146291114901204521186371063781342451. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: CoreRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D11K22K33K44K55KSE +/- 517.12, N = 3SE +/- 664.15, N = 15SE +/- 167.47, N = 3SE +/- 93.86, N = 3SE +/- 126.98, N = 3SE +/- 129.20, N = 3SE +/- 38.68, N = 3SE +/- 357.34, N = 8SE +/- 269.51, N = 34160243067413974266041495468204689541648495871. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

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 1.5.6Model: LionRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D8001600240032004000SE +/- 10.95, N = 8SE +/- 6.29, N = 8SE +/- 2.56, N = 8SE +/- 11.99, N = 8SE +/- 5.25, N = 8SE +/- 6.54, N = 8SE +/- 2.83, N = 8SE +/- 10.27, N = 8SE +/- 12.62, N = 83443354534983585352631503136299335821. (CXX) g++ options: -O3

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D60120180240300Min: 5.65 / Avg: 145.04 / Max: 236.15Min: 3.19 / Avg: 86.4 / Max: 132.32Min: 0.41 / Avg: 97.98 / Max: 147.4Min: 5.84 / Avg: 132.4 / Max: 227.04Min: 5.74 / Avg: 85.43 / Max: 131.31Min: 0.9 / Avg: 96.02 / Max: 156.34Min: 8.01 / Avg: 67.34 / Max: 92.47Min: 5.06 / Avg: 163.88 / Max: 315.44Min: 0.64 / Avg: 92.42 / Max: 143.73

OpenCV

OpenBenchmarking.orgWatts, Fewer Is BetterOpenCV 4.7CPU Power Consumption MonitorRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D4080120160200Min: 15.2 / Avg: 106.45 / Max: 222.82Min: 17.9 / Avg: 70.06 / Max: 115.28Min: 16.95 / Avg: 68.34 / Max: 144.15Min: 18.06 / Avg: 115.81 / Max: 213.03Min: 18.75 / Avg: 64.09 / Max: 128.11Min: 14.83 / Avg: 71.48 / Max: 125.19Min: 18.17 / Avg: 49.24 / Max: 83.09Min: 10.01 / Avg: 93.87 / Max: 215.65Min: 8.21 / Avg: 75.08 / Max: 134.01

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: DNN - Deep Neural NetworkRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D5K10K15K20K25KSE +/- 416.06, N = 15SE +/- 523.21, N = 15SE +/- 180.65, N = 15SE +/- 417.75, N = 15SE +/- 150.52, N = 15SE +/- 790.39, N = 15SE +/- 366.75, N = 15SE +/- 101.80, N = 3SE +/- 464.13, N = 141952824081123662307212528218331504116725206651. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgWatts, Fewer Is BetterOpenCV 4.7CPU Power Consumption MonitorRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150Min: 18.35 / Avg: 73.79 / Max: 134.3Min: 17.02 / Avg: 52.82 / Max: 77.91Min: 16.68 / Avg: 56.66 / Max: 92.72Min: 16.09 / Avg: 70.97 / Max: 117.51Min: 16.02 / Avg: 52.97 / Max: 81.76Min: 16.15 / Avg: 52.2 / Max: 75.91Min: 15.8 / Avg: 40.38 / Max: 56.76Min: 9.88 / Avg: 61.21 / Max: 119.66Min: 0.64 / Avg: 52.32 / Max: 85.71

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: Object DetectionRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D6K12K18K24K30KSE +/- 433.40, N = 15SE +/- 448.53, N = 12SE +/- 300.73, N = 15SE +/- 426.83, N = 12SE +/- 251.59, N = 3SE +/- 582.17, N = 12SE +/- 236.10, N = 3SE +/- 137.66, N = 15SE +/- 351.30, N = 151944319800224972076423570200322397619799283161. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

OpenBenchmarking.orgWatts, Fewer Is BetterOpenCV 4.7CPU Power Consumption MonitorRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D306090120150Min: 21.73 / Avg: 108.68 / Max: 185.97Min: 14.61 / Avg: 67.71 / Max: 104.01Min: 15.72 / Avg: 66.77 / Max: 103.19Min: 20.59 / Avg: 98.96 / Max: 156.38Min: 16.86 / Avg: 63.2 / Max: 94.58Min: 17.19 / Avg: 71.86 / Max: 122.17Min: 15.24 / Avg: 49.07 / Max: 70.62Min: 10.1 / Avg: 100.73 / Max: 190.19Min: 13.55 / Avg: 65.92 / Max: 108.96

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: VideoRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D7K14K21K28K35KSE +/- 248.27, N = 3SE +/- 762.84, N = 15SE +/- 195.46, N = 4SE +/- 343.95, N = 3SE +/- 128.60, N = 3SE +/- 370.51, N = 3SE +/- 30.51, N = 3SE +/- 318.64, N = 15SE +/- 524.49, N = 152542131168157822624916769337021738317088247801. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

Selenium

OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption MonitorRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1122334455Min: 17.13 / Avg: 31.67 / Max: 54.42Min: 19.3 / Avg: 30.14 / Max: 48.73Min: 12.82 / Avg: 25.39 / Max: 43.48Min: 21.66 / Avg: 31.36 / Max: 51.54Min: 19.34 / Avg: 26.55 / Max: 41.65Min: 14.64 / Avg: 30.45 / Max: 51.05Min: 17.67 / Avg: 25.04 / Max: 34.88Min: 9.95 / Avg: 15.9 / Max: 32.71Min: 14.59 / Avg: 27.84 / Max: 40.93

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D510152025SE +/- 0.29, N = 15SE +/- 0.42, N = 15SE +/- 0.02, N = 6SE +/- 0.12, N = 6SE +/- 0.02, N = 6SE +/- 0.35, N = 15SE +/- 0.04, N = 6SE +/- 0.02, N = 7SE +/- 0.09, N = 617.8419.1317.3017.3717.5418.8120.7615.2922.601. chrome 111.0.5563.110

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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D612182430SE +/- 0.47, N = 15SE +/- 0.59, N = 15SE +/- 0.03, N = 3SE +/- 0.52, N = 15SE +/- 0.05, N = 3SE +/- 0.60, N = 15SE +/- 0.08, N = 3SE +/- 0.21, N = 15SE +/- 0.05, N = 316.1116.8415.0016.5815.8515.5414.7617.0923.261. (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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1530456075SE +/- 1.79, N = 15SE +/- 2.12, N = 15SE +/- 0.14, N = 3SE +/- 1.82, N = 15SE +/- 0.19, N = 3SE +/- 2.37, N = 15SE +/- 0.36, N = 3SE +/- 0.76, N = 15SE +/- 0.09, N = 362.7960.4066.6761.1263.0865.6167.7758.6443.001. (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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D3691215SE +/- 0.00280, N = 3SE +/- 0.41714, N = 15SE +/- 0.08015, N = 4SE +/- 0.32714, N = 15SE +/- 0.37638, N = 12SE +/- 0.35240, N = 15SE +/- 0.00124, N = 3SE +/- 0.00065, N = 3SE +/- 0.02660, N = 34.307237.528626.541587.0796110.345646.468187.2703510.829908.830561. (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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D50100150200250SE +/- 0.15, N = 3SE +/- 7.44, N = 15SE +/- 1.83, N = 4SE +/- 6.88, N = 15SE +/- 2.71, N = 12SE +/- 9.73, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.34, N = 3232.15138.59152.92145.6697.74161.97137.5492.33113.241. (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: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.19762.39523.59284.79045.988SE +/- 0.04997, N = 15SE +/- 0.07174, N = 12SE +/- 0.00807, N = 3SE +/- 0.04702, N = 15SE +/- 0.04474, N = 15SE +/- 0.03598, N = 15SE +/- 0.00780, N = 3SE +/- 0.02456, N = 3SE +/- 0.09411, N = 152.156592.357302.625052.242693.117722.111602.744663.090515.322611. (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 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D100200300400500SE +/- 10.64, N = 15SE +/- 11.89, N = 12SE +/- 1.17, N = 3SE +/- 8.88, N = 15SE +/- 4.29, N = 15SE +/- 7.87, N = 15SE +/- 1.04, N = 3SE +/- 2.58, N = 3SE +/- 3.31, N = 15467.03428.15380.87448.40321.55475.36364.32323.55188.691. (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: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D150300450600750SE +/- 0.15, N = 3SE +/- 13.38, N = 13SE +/- 0.38, N = 3SE +/- 30.37, N = 15SE +/- 53.52, N = 13SE +/- 0.41, N = 3SE +/- 37.73, N = 15SE +/- 0.45, N = 3SE +/- 7.39, N = 3273.95368.22460.09463.80678.05275.94509.61336.96572.481. (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 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.82131.64262.46393.28524.1065SE +/- 0.002007, N = 3SE +/- 0.073837, N = 13SE +/- 0.001812, N = 3SE +/- 0.149914, N = 15SE +/- 0.080293, N = 13SE +/- 0.005330, N = 3SE +/- 0.095377, N = 15SE +/- 0.003944, N = 3SE +/- 0.022263, N = 33.6503302.7478802.1735002.2928801.5508783.6240202.0611002.9676801.7473501. (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: CaffeNet 12-int8 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.30240.60480.90721.20961.512SE +/- 0.023858, N = 15SE +/- 0.005381, N = 3SE +/- 0.001823, N = 3SE +/- 0.028899, N = 15SE +/- 0.005373, N = 3SE +/- 0.033176, N = 15SE +/- 0.003635, N = 3SE +/- 0.007598, N = 15SE +/- 0.010721, N = 30.8568731.1165201.2282000.9750821.3047900.9182020.6906641.0195591.3440201. (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: CaffeNet 12-int8 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D30060090012001500SE +/- 30.58, N = 15SE +/- 4.31, N = 3SE +/- 1.22, N = 3SE +/- 31.13, N = 15SE +/- 3.13, N = 3SE +/- 40.93, N = 15SE +/- 7.61, N = 3SE +/- 7.52, N = 15SE +/- 5.88, N = 31178.41895.20813.891038.03766.181109.311447.41980.97743.961. (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: yolov4 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20406080100SE +/- 3.14, N = 15SE +/- 4.94, N = 15SE +/- 0.97, N = 3SE +/- 3.47, N = 15SE +/- 7.82, N = 15SE +/- 0.12, N = 3SE +/- 5.61, N = 13SE +/- 0.43, N = 13SE +/- 0.55, N = 388.24107.4370.2193.03109.4182.1277.7564.2685.561. (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: yolov4 - Device: CPU - Executor: StandardRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D48121620SE +/- 0.36386, N = 15SE +/- 0.46030, N = 15SE +/- 0.19437, N = 3SE +/- 0.36208, N = 15SE +/- 0.58506, N = 15SE +/- 0.01808, N = 3SE +/- 0.65452, N = 13SE +/- 0.10551, N = 13SE +/- 0.07417, N = 311.513739.6042014.2480010.937779.7255712.1775013.4275015.5698011.688201. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

NCNN

OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20220729CPU Power Consumption MonitorRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D4080120160200Min: 22.05 / Avg: 117.93 / Max: 160.5Min: 18.98 / Avg: 71.8 / Max: 87.33Min: 12.92 / Avg: 86.67 / Max: 113Min: 19.21 / Avg: 106.83 / Max: 146.8Min: 11.31 / Avg: 80.18 / Max: 103.14Min: 0.9 / Avg: 78.4 / Max: 102.31Min: 18.71 / Avg: 57.81 / Max: 67.81Min: 10.24 / Avg: 173.83 / Max: 211.13Min: 16.59 / Avg: 90.82 / Max: 105.52

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D1.0352.073.1054.145.175SE +/- 0.30, N = 3SE +/- 0.03, N = 4SE +/- 0.04, N = 12SE +/- 0.03, N = 7SE +/- 0.03, N = 13SE +/- 0.12, N = 15SE +/- 0.13, N = 3SE +/- 0.19, N = 15SE +/- 0.03, N = 34.464.371.874.121.784.602.083.352.28MIN: 3.87 / MAX: 7.19MIN: 4.24 / MAX: 4.67MIN: 1.67 / MAX: 2.3MIN: 3.92 / MAX: 4.44MIN: 1.61 / MAX: 2.44MIN: 3.38 / MAX: 5.99MIN: 1.89 / MAX: 2.59MIN: 2.85 / MAX: 473.69MIN: 2.22 / MAX: 2.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D0.36230.72461.08691.44921.8115SE +/- 0.04, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 12SE +/- 0.01, N = 7SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.02, N = 15SE +/- 0.00, N = 31.561.460.551.380.551.610.621.100.73MIN: 1.47 / MAX: 36.41MIN: 1.39 / MAX: 17.44MIN: 0.52 / MAX: 4.68MIN: 1.32 / MAX: 7.12MIN: 0.49 / MAX: 4.7MIN: 1.47 / MAX: 7.74MIN: 0.6 / MAX: 4.57MIN: 0.95 / MAX: 5.25MIN: 0.71 / MAX: 3.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Geometric Mean Of All Test Results

OpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult Composite - AMD Ryzen 7 7800X3D Linux BenchmarksRyzen 9 7950XRyzen 9 7900X3DRyzen 7 7700XRyzen 9 7900XRyzen 5 7600XRyzen 9 7950X3DRyzen 7 7800X3DCore i9 13900KRyzen 7 5800X3D20406080100103.4188.8880.4291.6567.61101.1679.0588.3956.28

252 Results Shown

LULESH
OpenSSL:
  RSA4096
  AES-128-GCM
  AES-256-GCM
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU
  Weld Porosity Detection FP16 - CPU
Pennant
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Face Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
OSPRay
John The Ripper
OSPRay
OpenVINO
John The Ripper
OpenVINO:
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
John The Ripper
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU
  Vehicle Detection FP16 - CPU
  Vehicle Detection FP16 - CPU
OSPRay
OpenSSL
OSPRay Studio
OpenSSL
OSPRay Studio
OpenVINO
RocksDB
NAMD
OSPRay Studio:
  1 - 1080p - 16 - Path Tracer
  1 - 1080p - 1 - Path Tracer
  3 - 1080p - 16 - Path Tracer
  3 - 1080p - 1 - Path Tracer
OSPRay:
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
Stress-NG
OpenVINO
ASKAP
Stress-NG
Darktable
Stress-NG
OpenVINO
Stress-NG
OpenVINO
ASKAP
CloverLeaf
Blender
Stress-NG
Blender
nginx
BRL-CAD
Chaos Group V-RAY
Timed Linux Kernel Compilation
Stress-NG
nginx
ASKAP
ACES DGEMM
nginx
Stress-NG
Blender
nginx
OpenVKL
NCNN
OpenSSL
ASKAP
OpenSSL:
  SHA512
  RSA4096
OpenVINO
John The Ripper:
  bcrypt
  Blowfish
Darktable
7-Zip Compression
Embree
Stockfish
NCNN
Stargate Digital Audio Workstation
Xcompact3d Incompact3d
OpenVINO
uvg266
Embree
Pennant
Darktable
oneDNN
Stargate Digital Audio Workstation
Timed LLVM Compilation
oneDNN
uvg266
Timed Node.js Compilation
Stargate Digital Audio Workstation
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer - Asian Dragon
Xcompact3d Incompact3d
Embree
Timed Linux Kernel Compilation
Timed Godot Game Engine Compilation
GPAW
Embree
Timed FFmpeg Compilation
Stargate Digital Audio Workstation
uvg266
OpenVINO
oneDNN
GROMACS
Timed LLVM Compilation
x264
OpenVINO
Build2
OpenVINO
NCNN:
  CPU-v3-v3 - mobilenet-v3
  CPU - mnasnet
7-Zip Compression
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Execution Time
Memcached
x265
OSPRay
SPECFEM3D
Memcached
Darktable
x264
ASKAP
SVT-AV1
NCNN
SVT-AV1
VVenC
Memcached
RocksDB
ASKAP
OpenVINO
SPECFEM3D
NCNN
SVT-AV1
SPECFEM3D
ASKAP
NCNN
Apache HTTP Server
SVT-AV1
Zstd Compression:
  12 - Compression Speed
  8, Long Mode - Compression Speed
  8 - Compression Speed
simdjson
Memcached
Memcached
Apache HTTP Server
NCNN
VVenC
SPECFEM3D:
  Tomographic Model
  Homogeneous Halfspace
OpenFOAM
VVenC
simdjson:
  PartialTweets
  DistinctUserID
Apache HTTP Server:
  200
  100
PHPBench
RocksDB:
  Read Rand Write Rand
  Update Rand
PyBench
NCNN
x265
NCNN
LeelaChessZero
simdjson
dav1d
NCNN
ClickHouse:
  100M Rows Hits Dataset, Third Run
  100M Rows Hits Dataset, Second Run
NCNN
OpenFOAM
ClickHouse
Darmstadt Automotive Parallel Heterogeneous Suite
VVenC
Darmstadt Automotive Parallel Heterogeneous Suite
NCNN:
  CPU - yolov4-tiny
  CPU - mobilenet
FFmpeg:
  libx265 - Upload:
    FPS
    Seconds
Selenium
Numpy Benchmark
simdjson
FFmpeg:
  libx265 - Platform:
    FPS
    Seconds
  libx265 - Video On Demand:
    Seconds
    FPS
Selenium
Zstd Compression
Selenium
Zstd Compression
Selenium
Darmstadt Automotive Parallel Heterogeneous Suite
Zstd Compression
dav1d
OpenCV
FFmpeg:
  libx265 - Live:
    Seconds
    FPS
NCNN
Crafty
Zstd Compression
Selenium
Zstd Compression
GIMP
Selenium
OpenCV
Selenium
VP9 libvpx Encoding
Selenium
GIMP:
  rotate
  unsharp-mask
Selenium
OpenCV
GIMP
Selenium:
  PSPDFKit WASM - Firefox
  Kraken - Firefox
GNU Octave Benchmark
Zstd Compression
VP9 libvpx Encoding:
  Speed 0 - Bosphorus 4K
  Speed 0 - Bosphorus 1080p
ONNX Runtime
dav1d
VP9 libvpx Encoding
dav1d
Google Draco
OpenCV:
  Stitching
  Core
Google Draco
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  CPU Power Consumption Monitor
OpenCV
OpenCV
OpenCV
OpenCV
OpenCV
Selenium
Selenium
ONNX Runtime:
  Faster R-CNN R-50-FPN-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  super-resolution-10 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  ResNet50 v1-12-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  fcn-resnet101-11 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  CaffeNet 12-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
  yolov4 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
NCNN
NCNN:
  CPU - FastestDet
  CPU - blazeface
Geometric Mean Of All Test Results