April 2023 AMD Zen 4 Linux Benchmarks

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 2303304-PTS-EARLYUPP87
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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 23 Tests
Cryptography 2 Tests
Database Test Suite 4 Tests
Encoding 9 Tests
Fortran Tests 3 Tests
Game Development 4 Tests
HPC - High Performance Computing 19 Tests
Imaging 3 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 9 Tests
Server CPU Tests 19 Tests
Single-Threaded 4 Tests
Video Encoding 8 Tests
Common Workstation Benchmarks 3 Tests

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  Test
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Ryzen 5 7600X
March 28 2023
  1 Day, 4 Hours, 15 Minutes
Ryzen 7 7700X
March 26 2023
  23 Hours, 32 Minutes
Ryzen 9 7900X
March 27 2023
  1 Day, 54 Minutes
Ryzen 9 7900X3D
March 25 2023
  1 Day, 51 Minutes
Ryzen 9 7950X
March 24 2023
  21 Hours, 55 Minutes
Ryzen 9 7950X3D
March 29 2023
  1 Day, 3 Hours, 55 Minutes
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April 2023 AMD Zen 4 Linux BenchmarksOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 7600X 6-Core @ 4.70GHz (6 Cores / 12 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 9 7900X3D 12-Core @ 4.40GHz (12 Cores / 24 Threads)AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads)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 12.2.0ext43840x2160ProcessorsMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionApril 2023 AMD Zen 4 Linux Benchmarks PerformanceSystem Logs- Transparent Huge Pages: madvise- --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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-1ubuntu2)- Python 3.11.2- 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 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3DLogarithmic Result OverviewPhoronix Test SuiteLULESHACES DGEMMOpenSSLBlenderChaos Group V-RAYStockfishNAMDJohn The RipperCloverLeafStargate Digital Audio WorkstationEmbreeOSPRayOSPRay StudioBRL-CADoneDNN7-Zip Compressionuvg266OpenVKLGROMACSTimed Linux Kernel CompilationTimed Node.js CompilationTimed LLVM CompilationTimed Godot Game Engine Compilationnginxx264Timed FFmpeg CompilationStress-NGPennantBuild2SPECFEM3DRocksDBASKAPGPAWSVT-AV1OpenVINODarktableVVenCx265NCNNOpenFOAMMemcachedOpenCVXcompact3d Incompact3dONNX RuntimeSeleniumClickHouseZstd CompressionVP9 libvpx EncodingGIMPdav1dLeelaChessZeroGoogle DracoCraftyDarmstadt Automotive Parallel Heterogeneous SuiteFFmpegPyBenchsimdjsonPHPBenchWebP Image EncodeNumpy BenchmarkGNU Octave Benchmark

April 2023 AMD Zen 4 Linux Benchmarkslulesh: openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUstress-ng: CPU Cachencnn: CPU - blazefaceospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Traceraskap: tConvolve OpenMP - Degriddingospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 16 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 16 - Path Traceropenvino: Weld Porosity Detection FP16-INT8 - CPUstress-ng: Context Switchingmt-dgemm: Sustained Floating-Point Rateopenvino: Age Gender Recognition Retail 0013 FP16 - CPUstress-ng: CPU Stressstress-ng: Vector Mathopenvino: Person Vehicle Bike Detection FP16 - CPUncnn: CPU - shufflenet-v2openssl: SHA256openssl: SHA512stress-ng: Cryptoopenvino: Face Detection FP16-INT8 - CPUopenssl: RSA4096john-the-ripper: bcryptjohn-the-ripper: Blowfishstress-ng: Matrix Mathcompress-7zip: Decompression Ratingrocksdb: Rand Readopenssl: ChaCha20openvino: Weld Porosity Detection FP16 - CPUblender: BMW27 - CPU-Onlyjohn-the-ripper: WPA PSKospray: gravity_spheres_volume/dim_512/pathtracer/real_timeblender: Pabellon Barcelona - CPU-Onlyblender: Fishy Cat - CPU-Onlyjohn-the-ripper: MD5openssl: ChaCha20-Poly1305ospray: gravity_spheres_volume/dim_512/ao/real_timencnn: CPU - regnety_400mv-ray: CPUopenssl: AES-256-GCMospray: gravity_spheres_volume/dim_512/scivis/real_timestargate: 96000 - 1024openssl: AES-128-GCMopenssl: RSA4096ospray: particle_volume/ao/real_timeopenvino: Face Detection FP16 - CPUstockfish: Total Timeembree: Pathtracer ISPC - Crownospray: particle_volume/scivis/real_timenamd: ATPase Simulation - 327,506 Atomsembree: Pathtracer - Crownonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUstargate: 192000 - 1024onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUopenvino: Vehicle Detection FP16 - CPUcloverleaf: Lagrangian-Eulerian Hydrodynamicsonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUstargate: 96000 - 512openvino: Person Detection FP16 - CPUembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objopenvino: Person Detection FP32 - CPUstargate: 192000 - 512build-linux-kernel: allmodconfigbrl-cad: VGR Performance Metriconednn: IP Shapes 3D - bf16bf16bf16 - CPUembree: Pathtracer ISPC - Asian Dragononednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUembree: Pathtracer ISPC - Asian Dragon Objuvg266: Bosphorus 4K - Super Fastaskap: tConvolve OpenMP - Griddingx264: Bosphorus 4Knginx: 200onednn: IP Shapes 1D - bf16bf16bf16 - CPUncnn: CPU-v3-v3 - mobilenet-v3build-llvm: Ninjaopenvkl: vklBenchmark ISPCncnn: CPU - mnasnetuvg266: Bosphorus 4K - Ultra Fastnginx: 100gromacs: MPI CPU - water_GMX50_bareuvg266: Bosphorus 4K - Very Fastnginx: 1000nginx: 500build-nodejs: Time To Compilebuild-godot: Time To Compilestress-ng: Memory Copyingopenfoam: drivaerFastback, Small Mesh Size - Execution Timepennant: leblancbigbuild-llvm: Unix Makefilesopenvino: Machine Translation EN To DE FP16 - CPUbuild-ffmpeg: Time To Compilejohn-the-ripper: HMAC-SHA512opencv: Videobuild-linux-kernel: defconfigspecfem3d: Layered Halfspaceaskap: tConvolve MPI - Degriddingbuild2: Time To Compilecompress-7zip: Compression Ratingx264: Bosphorus 1080pdarktable: Server Rack - CPU-onlyrocksdb: Read While Writingaskap: tConvolve MPI - Griddingpennant: sedovbigncnn: CPU-v2-v2 - mobilenet-v2specfem3d: Mount St. Helensx265: Bosphorus 4Kvvenc: Bosphorus 4K - Fastsvt-av1: Preset 8 - Bosphorus 4Kcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8 - Compression Speedapache: 1000darktable: Boat - CPU-onlyspecfem3d: Water-layered Halfspacencnn: CPU - efficientnet-b0svt-av1: Preset 4 - Bosphorus 4Kspecfem3d: Homogeneous Halfspacegpaw: Carbon Nanotubespecfem3d: Tomographic Modelospray: particle_volume/pathtracer/real_timevvenc: Bosphorus 4K - Fastermemcached: 1:10vvenc: Bosphorus 1080p - Fastmemcached: 1:10apache: 500svt-av1: Preset 12 - Bosphorus 4Kcompress-zstd: 12 - Compression Speedrocksdb: Read Rand Write Randincompact3d: input.i3d 129 Cells Per Directionsvt-av1: Preset 13 - Bosphorus 4Kdarktable: Masskrug - CPU-onlymemcached: 1:100askap: tConvolve MT - Degriddingmemcached: 1:100ncnn: CPU - googlenetopenfoam: drivaerFastback, Small Mesh Size - Mesh Timememcached: 1:5openfoam: drivaerFastback, Medium Mesh Size - Mesh Timedav1d: Summer Nature 4Kaskap: Hogbom Clean OpenMPx265: Bosphorus 1080popenfoam: drivaerFastback, Medium Mesh Size - Execution Timevvenc: Bosphorus 1080p - Fasteropenvino: Person Vehicle Bike Detection FP16 - CPUgimp: resizeincompact3d: input.i3d 193 Cells Per Directionvpxenc: Speed 5 - Bosphorus 4Kaskap: tConvolve MT - Griddingopenvino: Vehicle Detection FP16 - CPUopencv: Image Processingopenvino: Face Detection FP16-INT8 - CPUclickhouse: 100M Rows Hits Dataset, Third Rundarktable: Server Room - CPU-onlyrocksdb: Update Randclickhouse: 100M Rows Hits Dataset, Second Runselenium: PSPDFKit WASM - Firefoxncnn: CPU - vision_transformeropenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUncnn: CPU - squeezenet_ssdvpxenc: Speed 0 - Bosphorus 4Kopenvino: Person Detection FP32 - CPUclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachencnn: CPU - mobilenetselenium: PSPDFKit WASM - Google Chromeopenvino: Machine Translation EN To DE FP16 - CPUgimp: unsharp-maskvpxenc: Speed 0 - Bosphorus 1080pdaphne: OpenMP - Points2Imagecompress-zstd: 19, Long Mode - Compression Speedopenvino: Vehicle Detection FP16-INT8 - CPUapache: 200vpxenc: Speed 5 - Bosphorus 1080papache: 100draco: Church Facadedav1d: Summer Nature 1080plczero: Eigenonnx: GPT-2 - CPU - Standardopencv: Graph APIcompress-zstd: 19 - Compression Speedncnn: CPU - yolov4-tinyncnn: CPU - alexnetncnn: CPU - resnet18ffmpeg: libx265 - Uploadffmpeg: libx265 - Uploadlczero: BLASncnn: CPU - resnet50ffmpeg: libx265 - Platformffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandffmpeg: libx265 - Video On Demandgimp: auto-levelsopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopencv: Features 2Ddav1d: Chimera 1080psimdjson: PartialTweetsopencv: Stitchingcrafty: Elapsed Timeopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUdraco: Lionselenium: Jetstream 2 - Google Chromeffmpeg: libx265 - Liveffmpeg: libx265 - Liveopencv: Coresimdjson: DistinctUserIDgimp: rotatesimdjson: TopTweetncnn: CPU - vgg16selenium: Kraken - Google Chromepybench: Total For Average Test Timescompress-zstd: 19 - Decompression Speedselenium: Jetstream 2 - Firefoxdav1d: Chimera 1080p 10-bitsimdjson: LargeRandselenium: Kraken - Firefoxdaphne: OpenMP - Euclidean Clustersimdjson: Kostyacompress-zstd: 19, Long Mode - Decompression Speedffmpeg: libx264 - Liveffmpeg: libx264 - Livedaphne: OpenMP - NDT Mappingffmpeg: libx264 - Platformffmpeg: libx264 - Platformffmpeg: libx264 - Video On Demandffmpeg: libx264 - Video On Demandffmpeg: libx264 - Uploadffmpeg: libx264 - Uploadselenium: WASM imageConvolute - Firefoxselenium: Speedometer - Firefoxselenium: WASM collisionDetection - Firefoxselenium: Speedometer - Google Chromewebp: Defaultselenium: WASM collisionDetection - Google Chromephpbench: PHP Benchmark Suitewebp: Quality 100, Highest Compressionnumpy: octave-benchmark: webp: Quality 100compress-zstd: 12 - Decompression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 8, Long Mode - Decompression Speedopencv: DNN - Deep Neural Networkopencv: Object Detectionselenium: 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: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Standardonnx: CaffeNet 12-int8 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: GPT-2 - CPU - Standardncnn: CPU - FastestDetspark: 1000000 - 100Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1786.08478561.503.244934401318.960.5583779995505145.572998400742506478971067.993332864.044.17671516786.8423168.8355522.03631.711.5214019104657452157284323979.5310.84151335.5179351788250108.06704655778464853007348987556.39128.42679353.66513412.55165.781797667378102323433.152504.7212661891488463433.072152.3145911040098541576019.23.114935.632995204013.38913.109741.9709212.53869.04052730.502874.181.5420101445.76404.6571.670.5236912.2514503.1113.756812.44543.131.4888721224.0621789712.6108515.73803.3237913.434521.682942.6333.3381518.681.511191.55743.2301791.6326.3583186.071.19220.4974596.4478427.06599.257373.1463512.67271.0138936.76304763.37063.3845.994944633331676996.342160.1651770855248.85144.64291081144.600.31421576376348.2854.177991.9262.04486304018.854.05938.905523.5543.2117763.774.400147.0423089692.853.20774.133708971223.23459.184326172142.4408.7912439025.7514.1302418021.17137368.84131.317182.3211349019.9036026140.8774.1102388901.551916.922391691.966.4434.2260272762729.11264.53391275.71379.87386.312632.442331.9406.339.55981.502944920.501687.089.8868959368.29230.633.178727188230.062125104.507.18707.511281.599.598.741272.19215.227.28242563.1210.14117.2543360.59426564211.75.47164764.6949.97157972.3645141199.851484151.10911360020.412.814.406.7231.1381.11159611.7264.69117.10117.0064.759.2050.7033758876.168.33111490148305820.355.613526360.05128.91174.70414959.968.8679.6227.23349.15132108.2208.299800.691.83467.82118.195.871941.416.20311.681498.88106.7770.95107.0670.7518.47136.7417.9311.2249.739527.53230.4212166555.39946.664.67717.092451.62359.72396.9125282357017.5415.852363.077310.3456497.73703.11772321.55336.724828.8702678.0461.5508781.30479766.18073.567614.77027109.40519.725576.616301.788017.063413428.543.152555845633.350.5562682738844098.162213295921850353181491.004388025.245.67951123143.2130478.1173951.14887.851.4518758255480604536179731973.0114.82201878.7238642380866937.51935597682421370980755090745.0697.00910484.86544309.02124.402391667504881706334.172274.65167771188682131234.088523.2894051389037749138056.84.125997.543939872617.66114.107731.4874416.53316.87028942.042062.842.1658271026.63486.2169.440.3879943.1578174.1517.860416.06694.162.071484948.6282385182.3611920.35402.2534617.364828.163385.4743.40109607.621.145811.43585.8592301.5033.93110819.101.54726.5698019.87104108.32476.887296.4754667.35248.8311132.54760605.03782.8036.5521247760001578277.080124.9453499905788.76114.595113954187.730.24828535726787.1146.626681.9253.31056908118.575.08149.125561.1551.0134983.403.533120.7941278642.623.96557.780174901191.06245.624536434166.64210.6523221061.7017.3533210247.22161549.06157.556195.6267544818.5838089168.7363.5233162482.242122.353147488.475.6730.3954193591302.95232.3856343.08423.73391.942506.414837.7604.509.50576.883303328.511784.988.2262606269.69252.602.790837216251.53279992.915.36529.80960.709.3511.61957.75229.197.02312148.2910.22822.3741450.64500524311.64.24202785.7449.75198848.6744881440.051539153.11411177320.512.274.276.0333.5175.35168510.7469.04109.72109.6469.099.0980.59312161011.838.44107407151256590.345.363498366.43727.11186.284139710.138.8749.7525.09344.65042154.7207.586865.981.84464.02281.335.932028.116.10313.661510.77104.9172.20104.7772.3018.86133.8617.7307.4246.040227.91226.1112434455.48964.344.66517.382465.42389.32413.6123662249717.3014.997866.67026.54158152.9242.62505380.86632.390832.5150460.0872.173501.22820813.89258.315818.544270.209914.24806.529101.878553.704819880.371.812982186099.111.3839193468295675.31466196221228234482195.496683204.628.57946234149.6945586.84109496.961273.293.4527774892630895436015047474.8121.44295424.5349843489299161.501374551146529351043931236131093.6565.311322377.18054209.3384.083507667742366231676.1491910.09248521748759006776.007134.22519020413587692711924.16.0463011.015554615526.10946.025331.0066624.30284.817511398.201431.032.803825731.940738.4848.690.2646713.9992466.0225.921823.24605.932.627352649.9603237591.5430129.06141.7989624.765237.154992.6961.51148467.630.9746132.96401.8183283.0643.72147810.432.26834.76133655.23142134.15330.169207.8226023.67172.5132225.05771424.143111.0726.1501630460002624955.49490.74348271410092.185.303156647253.730.187341376511693.236.851463.4442.46865332530.486.69164.759808.9862.8140125.352.76289.2818151174.195.09344.308705280150.83633.707327963209.62713.4853646277.8821.7443566082.94158235.02196.117248.6282052814.6754833202.8682.9423374511.842766.953381093.618.3024.8821053428414.42201.08433368.45439.079112.672170.640843.0874.7112.32667.071820624.072009.508.1281536279.40286.692.502844521281.89281482.765.48543.31992.0111.9110.821004.91255.898.43313853.9912.41021.3235526.67389811312.84.29211000.5243.64156497.1445761382.591744174.82812360523.414.034.737.0835.9770.20190912.3273.54103.01102.8473.6610.0280.634214943.858.21114629145103380.355.463585346.16526.16193.02426609.808.9219.4124.79349.95132175.5203.574839.581.78479.92310.296.051953.116.08314.121462.04105.9271.52105.9971.4718.57135.9917.9304.6245.039527.47220.8812620585.50934.874.81117.582419.62397.82421.9230722076417.3716.578461.11837.07961145.6602.24269448.40025.907039.5055463.8042.292880.9750821038.02663.577916.282593.028710.937775.718394.129055.272117588.981.371352261408.131.46418514995010186.421559212911330249001951.946210682.938.00644930248.7141808.60102534.491183.173.6425333420457807718285044106.9319.40278454.9324803244192493.9113079710653197897762009177993.1170.031227946.69392225.1990.463076333694232141375.7945510.84234051618671990105.702373.87609918819415800010345.05.6337410.085333642125.53365.623321.0827423.89615.221781254.431559.982.560802802.170791.9930.960.2949633.6840215.6325.837923.31765.522.456949673.5432987621.1578029.56782.0139925.196333.456033.8556.36135184.241.067573.08409.4683293.1939.27134927.902.28331.20129547.31132147.38337.733212.9385447.10139.4750119.30214439.272106.6427.5011493773333116857.68893.04307559910008.0185.971154925230.390.189327310012175.631.146713.5540.31594988328.826.08859.527941.81031.0163211.392.96990.5824682274.364.60446.238722602143.85336.814966208199.15612.3653510381.4319.7293471647.55177117.15189.398299.5269434712.5325611193.0632.9283183961.702927.903179844.538.1726.1739323261982.16196.47774366.43552.493102.711913.590639.9545.0713.31361.353869121.712114.757.5785537308.86303.042.494809930301.88219293.646.04593.741058.9611.669.841079.72268.009.10317556.2412.93719.3334161.85246735114.44.78204878.1839.10185877.5536471269.551772188.84213883925.214.674.076.4132.6877.26188512.3567.31112.54112.7167.2110.6000.6837002861.747.32123364134475110.396.143545322.62828.49177.25430678.979.7679.8124.41380.55202062.8189.722789.571.68507.42173.135.961860.917.28292.311397.77112.1967.52111.7067.8217.60143.4618.1291.5245.437926.34230.9112075005.27924.614.79116.882426.52343.72369.8240811980019.1316.844660.40127.52862138.5852.35730428.14535.633228.0665368.2152.747881.11652895.19957.847717.6404107.42749.604205.314174.378539.757726125.901.695262868842.431.5629432351876111.41109714683919175762894.708930648.8811.19090644976.4861633.57146978.581670.003.59368764732171187789624362992.3528.41396563.64694046733130771.711837121505534411379013934171447.0149.381765699.52467158.8163.914662667980140590908.1490711.48326792300180875937.925105.96299526775329651015483.57.9966114.457673931834.27947.945180.7714831.87363.557331855.481133.723.904150577.363771.3746.810.2103365.5586667.6532.702329.07887.543.560690512.2434262881.5615834.95161.4061729.860850.926075.7777.15188361.900.6549453.19328.8884093.2559.81188405.162.60846.30152268.17173022.34273.108169.6517725.73160.4260724.30418353.401136.8321.4992020823332542145.69978.0796953801071069.756183767297.380.155436894911577.534.666583.7031.72299328535.957.80574.792856.4836.72.34078.4303665784.655.71441.772868898137.88534.157523620249.60015.1334124930.5723.8174054196.00217.159254.7347314014.4937051222.2242.6603690970.442838.933693334.628.5622.4850954117576.04189.28477395.58442.500122.992100.711444.9484.7812.24465.936683723.672148.4510.3679864280.96276.802.332989730275.51212877.835.52551.981039.1912.4610.881054.73247.729.23241258.4212.44421.8235141.53877826812.94.3043.7644001509.371768167.14212206523.515.195.027.4037.5167.32189512.8377.1598.1998.2277.1210.0590.6133828991.488.41111007154319050.355.523443347.39625.55197.634160210.058.7279.8925.76346.05102124.5865.981.83482.82315.405.892012.215.87318.241472.06104.2572.66104.0872.7818.88133.7418.1304.8244.739927.92217.9712575385.40945.334.61617.282463.92369.42392.6195281944317.8416.110762.79024.30723232.1542.15659467.03426.478637.7646273.9463.650330.8568731178.4152.619819.398188.237911.513735.980984.469097.680323606.791.082501987512.191.61315163715511503.2117815867971186102616.108280952.5411.09286040616.9559420.40138158.811666.233.82340830613871086594540758628.4026.10375876.24391643921123807.351758041424231981308000494471337.3652.161654418.97591168.0467.504172667929108185277.7035312.02313662165818663837.569755.62790425153960099713817.57.5716013.517317448034.07177.550980.8157431.88493.942321707.051215.853.696535623.4831012.4528.770.2296395.2028207.3433.709530.30987.313.355091516.6554035181.0975737.23771.5130631.755146.366888.4671.98179232.780.7222343.29323.8854073.4154.45177681.072.69441.84168262.81175066.40269.139168.8557102.84124.4223516.89291355.890136.1322.0181881003333370246.31876.26587022711010.769.893188382268.520.157428458912698.227.093403.7732.50233998134.447.21870.0181001.31036.7223853.852.49578.3333855114.705.29243.061064944126.80435.011465927228.75314.1933982059.1221.9773938540.03230091.81213.524299.9334298412.5259216214.8402.6683564857.902960.623554398.248.7524.3522523953637.22180.58871402.89547.676112.991849.378642.2364.8012.79658.293711322.092323.167.8981537305.98314.372.347958852312.03286683.995.98590.691082.5111.909.991086.14284.219.27315958.7213.15519.7833484.37486189815.04.68204101.1240.13164236.1536141409.201857185.99913928425.314.834.376.8134.5273.15189412.2970.80106.99106.5871.0810.8350.6735434913.127.59120452145666940.396.113150329.34927.67182.49468209.239.1648.8525.12378.75561981.1198.861831.741.71502.32207.795.551897.016.80300.571424.88110.2268.73109.6669.0818.03140.0518.9294.8260.138227.55229.4712263015.46945.794.71017.242488.22404.22410.0218332003218.8115.543065.61126.46818161.9652.11160475.36224.950940.8059275.9363.624020.9182021109.30662.576616.225682.116912.17755.375834.60OpenBenchmarking.org

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 4.30, N = 8SE +/- 4.68, N = 6SE +/- 15.25, N = 6SE +/- 20.10, N = 7SE +/- 10.98, N = 6SE +/- 26.27, N = 71786.088017.068553.709055.278539.769097.681. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D16003200480064008000Min: 1772.66 / Avg: 1786.08 / Max: 1805.35Min: 8005.04 / Avg: 8017.06 / Max: 8034.42Min: 8520.09 / Avg: 8553.7 / Max: 8618.22Min: 8991.01 / Avg: 9055.27 / Max: 9121.57Min: 8493.39 / Avg: 8539.76 / Max: 8574.05Min: 9030.56 / Avg: 9097.68 / Max: 9225.881. (CXX) g++ options: -O3 -fopenmp -lm -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-INT8 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6K12K18K24K30KSE +/- 27.53, N = 3SE +/- 7.96, N = 3SE +/- 36.67, N = 3SE +/- 5.14, N = 3SE +/- 19.36, N = 3SE +/- 15.43, N = 38561.5013428.5419880.3717588.9826125.9023606.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D5K10K15K20K25KMin: 8506.73 / Avg: 8561.5 / Max: 8593.83Min: 13413.57 / Avg: 13428.54 / Max: 13440.73Min: 19807.94 / Avg: 19880.37 / Max: 19926.54Min: 17583.3 / Avg: 17588.98 / Max: 17599.23Min: 26098.46 / Avg: 26125.9 / Max: 26163.28Min: 23580.19 / Avg: 23606.79 / Max: 23633.631. (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: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.73011.46022.19032.92043.6505SE +/- 0.00353, N = 7SE +/- 0.00306, N = 7SE +/- 0.00252, N = 7SE +/- 0.00054, N = 7SE +/- 0.00812, N = 7SE +/- 0.00121, N = 73.244933.152551.812981.371351.695261.08250MIN: 3.17MIN: 3.08MIN: 1.75MIN: 1.35MIN: 1.64MIN: 1.031. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 3.22 / Avg: 3.24 / Max: 3.25Min: 3.14 / Avg: 3.15 / Max: 3.16Min: 1.8 / Avg: 1.81 / Max: 1.82Min: 1.37 / Avg: 1.37 / Max: 1.37Min: 1.68 / Avg: 1.7 / Max: 1.74Min: 1.08 / Avg: 1.08 / Max: 1.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: CPU CacheRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.3M2.6M3.9M5.2M6.5MSE +/- 34972.41, N = 3SE +/- 72128.97, N = 3SE +/- 22413.02, N = 3SE +/- 4040.61, N = 3SE +/- 39256.30, N = 15SE +/- 30111.46, N = 154401318.965845633.352186099.112261408.132868842.431987512.191. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: CPU CacheRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1000K2000K3000K4000K5000KMin: 4343694.03 / Avg: 4401318.96 / Max: 4464464.12Min: 5701375.76 / Avg: 5845633.35 / Max: 5918034.95Min: 2151272.42 / Avg: 2186099.11 / Max: 2227953.33Min: 2255582.13 / Avg: 2261408.13 / Max: 2269171.16Min: 2720178.17 / Avg: 2868842.43 / Max: 3223226.53Min: 1818978.23 / Avg: 1987512.19 / Max: 2169804.471. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.36230.72461.08691.44921.8115SE +/- 0.01, N = 15SE +/- 0.01, N = 12SE +/- 0.01, N = 7SE +/- 0.02, N = 4SE +/- 0.04, N = 3SE +/- 0.01, N = 150.550.551.381.461.561.61MIN: 0.49 / MAX: 4.7MIN: 0.52 / MAX: 4.68MIN: 1.32 / MAX: 7.12MIN: 1.39 / MAX: 17.44MIN: 1.47 / MAX: 36.41MIN: 1.47 / MAX: 7.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 0.5 / Avg: 0.55 / Max: 0.63Min: 0.53 / Avg: 0.55 / Max: 0.66Min: 1.35 / Avg: 1.38 / Max: 1.46Min: 1.42 / Avg: 1.46 / Max: 1.5Min: 1.51 / Avg: 1.56 / Max: 1.63Min: 1.51 / Avg: 1.61 / Max: 1.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 101.69, N = 3SE +/- 106.89, N = 3SE +/- 51.11, N = 3SE +/- 57.81, N = 3SE +/- 22.10, N = 3SE +/- 41.08, N = 38377962682391934185129432315161. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D15K30K45K60K75KMin: 83607 / Avg: 83779 / Max: 83959Min: 62469 / Avg: 62682.33 / Max: 62801Min: 39103 / Avg: 39192.67 / Max: 39280Min: 41740 / Avg: 41851.33 / Max: 41934Min: 29391 / Avg: 29431.67 / Max: 29467Min: 31442 / Avg: 31515.67 / Max: 315841. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 290.34, N = 3SE +/- 64.17, N = 3SE +/- 58.24, N = 3SE +/- 10.99, N = 3SE +/- 42.44, N = 3SE +/- 320.57, N = 39955073884468294995035187371551. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KMin: 98970 / Avg: 99550.33 / Max: 99858Min: 73818 / Avg: 73883.67 / Max: 74012Min: 46716 / Avg: 46829 / Max: 46910Min: 49930 / Avg: 49949.67 / Max: 49968Min: 35104 / Avg: 35187.33 / Max: 35243Min: 36802 / Avg: 37155 / Max: 377951. (CXX) g++ options: -O3 -lm -ldl

ASKAP

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

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 165.08, N = 6SE +/- 39.27, N = 6SE +/- 108.00, N = 6SE +/- 54.18, N = 7SE +/- 83.88, N = 5SE +/- 153.85, N = 65145.574098.165675.3010186.426111.4111503.201. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KMin: 4841.02 / Avg: 5145.57 / Max: 5665.02Min: 3973.97 / Avg: 4098.16 / Max: 4160.25Min: 5433.8 / Avg: 5675.3 / Max: 5916.8Min: 9861.33 / Avg: 10186.42 / Max: 10240.6Min: 5916.8 / Avg: 6111.41 / Max: 6339.43Min: 11094 / Avg: 11503.23 / Max: 12102.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 3.79, N = 3SE +/- 1.53, N = 3SE +/- 0.33, N = 3SE +/- 1.53, N = 3SE +/- 1.20, N = 3SE +/- 3.48, N = 32998221314661559109711781. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D5001000150020002500Min: 2992 / Avg: 2998 / Max: 3005Min: 2210 / Avg: 2213 / Max: 2215Min: 1465 / Avg: 1465.67 / Max: 1466Min: 1556 / Avg: 1559 / Max: 1561Min: 1095 / Avg: 1096.67 / Max: 1099Min: 1172 / Avg: 1178.33 / Max: 11841. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D9K18K27K36K45KSE +/- 103.96, N = 3SE +/- 25.24, N = 3SE +/- 40.70, N = 3SE +/- 5.13, N = 3SE +/- 4.18, N = 3SE +/- 13.57, N = 34007429592196222129114683158671. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D7K14K21K28K35KMin: 39914 / Avg: 40074 / Max: 40269Min: 29543 / Avg: 29592 / Max: 29627Min: 19542 / Avg: 19621.67 / Max: 19676Min: 21281 / Avg: 21291 / Max: 21298Min: 14678 / Avg: 14682.67 / Max: 14691Min: 15844 / Avg: 15867.33 / Max: 158911. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D5001000150020002500SE +/- 1.45, N = 3SE +/- 3.18, N = 3SE +/- 2.00, N = 3SE +/- 2.60, N = 3SE +/- 0.58, N = 3SE +/- 5.84, N = 325061850122813309199711. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D400800120016002000Min: 2503 / Avg: 2505.67 / Max: 2508Min: 1846 / Avg: 1849.67 / Max: 1856Min: 1224 / Avg: 1228 / Max: 1230Min: 1325 / Avg: 1329.67 / Max: 1334Min: 918 / Avg: 919 / Max: 920Min: 965 / Avg: 971.33 / Max: 9831. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D10K20K30K40K50KSE +/- 100.36, N = 3SE +/- 48.79, N = 3SE +/- 14.34, N = 3SE +/- 6.03, N = 3SE +/- 10.50, N = 3SE +/- 180.23, N = 34789735318234482490017576186101. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8K16K24K32K40KMin: 47730 / Avg: 47897.33 / Max: 48077Min: 35256 / Avg: 35317.67 / Max: 35414Min: 23433 / Avg: 23448.33 / Max: 23477Min: 24888 / Avg: 24900 / Max: 24907Min: 17555 / Avg: 17576 / Max: 17587Min: 18421 / Avg: 18609.67 / Max: 189701. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 1.89, N = 3SE +/- 1.59, N = 3SE +/- 1.22, N = 3SE +/- 2.00, N = 3SE +/- 5.17, N = 3SE +/- 1.47, N = 31067.991491.002195.491951.942894.702616.101. (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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D5001000150020002500Min: 1064.36 / Avg: 1067.99 / Max: 1070.7Min: 1489.37 / Avg: 1491 / Max: 1494.18Min: 2193.09 / Avg: 2195.49 / Max: 2197.1Min: 1947.99 / Avg: 1951.94 / Max: 1954.41Min: 2889.29 / Avg: 2894.7 / Max: 2905.03Min: 2613.18 / Avg: 2616.1 / Max: 2617.861. (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: Context SwitchingRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2M4M6M8M10MSE +/- 12124.10, N = 3SE +/- 8621.39, N = 3SE +/- 53501.91, N = 3SE +/- 75039.03, N = 4SE +/- 90303.53, N = 6SE +/- 58598.77, N = 33332864.044388025.246683204.626210682.938930648.888280952.541. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Context SwitchingRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.5M3M4.5M6M7.5MMin: 3309036.68 / Avg: 3332864.04 / Max: 3348673.09Min: 4370912.95 / Avg: 4388025.24 / Max: 4398415.07Min: 6592926.35 / Avg: 6683204.62 / Max: 6778090.49Min: 6095568.63 / Avg: 6210682.93 / Max: 6430231.47Min: 8746896.82 / Avg: 8930648.88 / Max: 9349988.79Min: 8206142.12 / Avg: 8280952.54 / Max: 8396485.831. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.035651, N = 12SE +/- 0.070442, N = 3SE +/- 0.063420, N = 3SE +/- 0.014153, N = 3SE +/- 0.123200, N = 3SE +/- 0.114795, N = 154.1767155.6795118.5794628.00644911.19090611.0928601. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215Min: 4.05 / Avg: 4.18 / Max: 4.51Min: 5.56 / Avg: 5.68 / Max: 5.8Min: 8.51 / Avg: 8.58 / Max: 8.71Min: 7.98 / Avg: 8.01 / Max: 8.02Min: 10.97 / Avg: 11.19 / Max: 11.4Min: 10.32 / Avg: 11.09 / Max: 11.681. (CC) gcc options: -O3 -march=native -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.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D10K20K30K40K50KSE +/- 200.07, N = 3SE +/- 62.88, N = 3SE +/- 23.20, N = 3SE +/- 6.01, N = 3SE +/- 58.03, N = 3SE +/- 63.20, N = 316786.8423143.2134149.6930248.7144976.4840616.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8K16K24K32K40KMin: 16401.7 / Avg: 16786.84 / Max: 17073.38Min: 23053.13 / Avg: 23143.21 / Max: 23264.24Min: 34111.03 / Avg: 34149.69 / Max: 34191.23Min: 30237.96 / Avg: 30248.71 / Max: 30258.75Min: 44891.89 / Avg: 44976.48 / Max: 45087.6Min: 40503.93 / Avg: 40616.95 / Max: 40722.461. (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: CPU StressRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D13K26K39K52K65KSE +/- 243.21, N = 5SE +/- 248.37, N = 3SE +/- 340.75, N = 3SE +/- 143.52, N = 3SE +/- 410.92, N = 15SE +/- 130.71, N = 323168.8330478.1145586.8441808.6061633.5759420.401. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: CPU StressRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D11K22K33K44K55KMin: 22817.55 / Avg: 23168.83 / Max: 24132.49Min: 30120.94 / Avg: 30478.11 / Max: 30955.67Min: 44997.84 / Avg: 45586.84 / Max: 46178.23Min: 41642.86 / Avg: 41808.6 / Max: 42094.43Min: 58954.98 / Avg: 61633.57 / Max: 66458.06Min: 59191.31 / Avg: 59420.4 / Max: 59644.011. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Vector MathRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KSE +/- 15.42, N = 3SE +/- 43.37, N = 3SE +/- 5.16, N = 3SE +/- 38.31, N = 3SE +/- 1868.35, N = 3SE +/- 42.17, N = 355522.0373951.14109496.96102534.49146978.58138158.811. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Vector MathRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KMin: 55491.39 / Avg: 55522.03 / Max: 55540.33Min: 73864.41 / Avg: 73951.14 / Max: 73995.89Min: 109487.48 / Avg: 109496.96 / Max: 109505.24Min: 102480.74 / Avg: 102534.49 / Max: 102608.66Min: 145109.79 / Avg: 146978.58 / Max: 150715.28Min: 138075.45 / Avg: 138158.81 / Max: 138211.621. (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: Person Vehicle Bike Detection FP16 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 2.45, N = 3SE +/- 1.24, N = 3SE +/- 5.25, N = 3SE +/- 5.71, N = 3SE +/- 15.62, N = 3SE +/- 0.62, N = 3631.71887.851273.291183.171670.001666.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500Min: 626.83 / Avg: 631.71 / Max: 634.47Min: 885.89 / Avg: 887.85 / Max: 890.16Min: 1263.27 / Avg: 1273.29 / Max: 1281.03Min: 1177.25 / Avg: 1183.17 / Max: 1194.58Min: 1638.82 / Avg: 1670 / Max: 1687.36Min: 1665.53 / Avg: 1666.23 / Max: 1667.471. (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 - Model: shufflenet-v2Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.85951.7192.57853.4384.2975SE +/- 0.01, N = 14SE +/- 0.01, N = 11SE +/- 0.02, N = 7SE +/- 0.01, N = 4SE +/- 0.01, N = 3SE +/- 0.03, N = 141.521.453.453.643.593.82MIN: 1.47 / MAX: 5.96MIN: 1.39 / MAX: 7.3MIN: 3.34 / MAX: 9.35MIN: 3.56 / MAX: 3.87MIN: 3.39 / MAX: 37.91MIN: 3.6 / MAX: 102.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 1.48 / Avg: 1.52 / Max: 1.56Min: 1.42 / Avg: 1.45 / Max: 1.48Min: 3.39 / Avg: 3.45 / Max: 3.56Min: 3.62 / Avg: 3.64 / Max: 3.66Min: 3.56 / Avg: 3.59 / Max: 3.61Min: 3.68 / Avg: 3.82 / Max: 4.191. (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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8000M16000M24000M32000M40000MSE +/- 8147449.84, N = 3SE +/- 23422908.44, N = 3SE +/- 9268070.35, N = 3SE +/- 17850918.80, N = 3SE +/- 14905556.09, N = 3SE +/- 34835211.23, N = 31401910465718758255480277748926302533342045736876473217340830613871. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6000M12000M18000M24000M30000MMin: 14003038410 / Avg: 14019104656.67 / Max: 14029493540Min: 18726919550 / Avg: 18758255480 / Max: 18804080410Min: 27760241250 / Avg: 27774892630 / Max: 27792051640Min: 25314175880 / Avg: 25333420456.67 / Max: 25369085030Min: 36846821290 / Avg: 36876473216.67 / Max: 36893963620Min: 34013409370 / Avg: 34083061386.67 / Max: 341192742101. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3000M6000M9000M12000M15000MSE +/- 1516718.41, N = 3SE +/- 648242.55, N = 3SE +/- 2906689.88, N = 3SE +/- 2012680.78, N = 3SE +/- 706456.47, N = 3SE +/- 4981029.00, N = 3452157284360453617978954360150807718285011877896243108659454071. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2000M4000M6000M8000M10000MMin: 4519158720 / Avg: 4521572843.33 / Max: 4524370600Min: 6044686150 / Avg: 6045361796.67 / Max: 6046657890Min: 8949319960 / Avg: 8954360150 / Max: 8959389010Min: 8074918110 / Avg: 8077182850 / Max: 8081197210Min: 11876552270 / Avg: 11877896243.33 / Max: 11878945780Min: 10859342120 / Avg: 10865945406.67 / Max: 108757068801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: CryptoRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D13K26K39K52K65KSE +/- 68.01, N = 3SE +/- 61.93, N = 3SE +/- 32.72, N = 3SE +/- 359.43, N = 13SE +/- 79.86, N = 3SE +/- 222.65, N = 323979.5331973.0147474.8144106.9362992.3558628.401. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: CryptoRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D11K22K33K44K55KMin: 23843.73 / Avg: 23979.53 / Max: 24054.08Min: 31881.82 / Avg: 31973.01 / Max: 32091.2Min: 47409.59 / Avg: 47474.81 / Max: 47512.06Min: 43540.19 / Avg: 44106.93 / Max: 48412.12Min: 62858.9 / Avg: 62992.35 / Max: 63135.08Min: 58185.18 / Avg: 58628.4 / Max: 58887.291. (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: Face Detection FP16-INT8 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 310.8414.8221.4419.4028.4126.101. (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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D612182430Min: 10.83 / Avg: 10.84 / Max: 10.87Min: 14.68 / Avg: 14.82 / Max: 14.91Min: 21.36 / Avg: 21.44 / Max: 21.53Min: 19.37 / Avg: 19.4 / Max: 19.41Min: 28.35 / Avg: 28.41 / Max: 28.52Min: 26.05 / Avg: 26.1 / Max: 26.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D80K160K240K320K400KSE +/- 73.28, N = 3SE +/- 192.25, N = 3SE +/- 3000.81, N = 3SE +/- 31.72, N = 3SE +/- 115.21, N = 3SE +/- 131.45, N = 3151335.5201878.7295424.5278454.9396563.6375876.21. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70K140K210K280K350KMin: 151210 / Avg: 151335.53 / Max: 151463.8Min: 201499.4 / Avg: 201878.73 / Max: 202122.8Min: 289428.4 / Avg: 295424.5 / Max: 298645.6Min: 278394.1 / Avg: 278454.9 / Max: 278501Min: 396376.2 / Avg: 396563.6 / Max: 396773.4Min: 375716.9 / Avg: 375876.23 / Max: 3761371. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D10K20K30K40K50KSE +/- 36.88, N = 3SE +/- 57.50, N = 3SE +/- 32.42, N = 3SE +/- 38.97, N = 3SE +/- 118.42, N = 3SE +/- 50.05, N = 31793523864349843248046940439161. (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: bcryptRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8K16K24K32K40KMin: 17886 / Avg: 17934.67 / Max: 18007Min: 23788 / Avg: 23864.33 / Max: 23977Min: 34948 / Avg: 34984.33 / Max: 35049Min: 32403 / Avg: 32480 / Max: 32529Min: 46790 / Avg: 46940.33 / Max: 47174Min: 43824 / Avg: 43916.33 / Max: 439961. (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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D10K20K30K40K50KSE +/- 34.94, N = 3SE +/- 36.09, N = 3SE +/- 11.55, N = 3SE +/- 73.96, N = 3SE +/- 87.21, N = 3SE +/- 53.53, N = 31788223808348923244146733439211. (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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D8K16K24K32K40KMin: 17821 / Avg: 17882.33 / Max: 17942Min: 23745 / Avg: 23808 / Max: 23870Min: 34872 / Avg: 34891.67 / Max: 34912Min: 32328 / Avg: 32440.67 / Max: 32580Min: 46598 / Avg: 46732.67 / Max: 46896Min: 43847 / Avg: 43921 / Max: 440251. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Stress-NG

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Matrix MathRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KSE +/- 85.53, N = 3SE +/- 89.13, N = 3SE +/- 156.30, N = 3SE +/- 83.36, N = 3SE +/- 85.06, N = 3SE +/- 182.43, N = 350108.0666937.5199161.5092493.91130771.71123807.351. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.15.06Test: Matrix MathRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KMin: 49944.28 / Avg: 50108.06 / Max: 50232.69Min: 66762.2 / Avg: 66937.51 / Max: 67053.13Min: 98923.53 / Avg: 99161.5 / Max: 99456.03Min: 92334.33 / Avg: 92493.91 / Max: 92615.48Min: 130638.58 / Avg: 130771.71 / Max: 130930Min: 123588.09 / Avg: 123807.35 / Max: 124169.551. (CC) gcc options: -std=gnu99 -O2 -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 209.34, N = 3SE +/- 56.15, N = 3SE +/- 301.73, N = 3SE +/- 281.33, N = 3SE +/- 404.67, N = 3SE +/- 398.09, N = 370465935591374551307971837121758041. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KMin: 70254 / Avg: 70465.33 / Max: 70884Min: 93476 / Avg: 93559 / Max: 93666Min: 136968 / Avg: 137454.67 / Max: 138007Min: 130372 / Avg: 130797.33 / Max: 131329Min: 182961 / Avg: 183711.67 / Max: 184349Min: 175272 / Avg: 175804 / Max: 1765831. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30M60M90M120M150MSE +/- 386524.38, N = 3SE +/- 518042.81, N = 3SE +/- 145291.54, N = 3SE +/- 77605.89, N = 3SE +/- 393815.64, N = 3SE +/- 71922.56, N = 357784648768242131146529351065319781505534411424231981. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30M60M90M120M150MMin: 57014305 / Avg: 57784648 / Max: 58225784Min: 75788278 / Avg: 76824213.33 / Max: 77357463Min: 114375983 / Avg: 114652935.33 / Max: 114867582Min: 106378174 / Avg: 106531978 / Max: 106626943Min: 149776062 / Avg: 150553440.67 / Max: 151051830Min: 142313134 / Avg: 142423198 / Max: 1425584361. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -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: ChaCha20Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30000M60000M90000M120000M150000MSE +/- 3351916.44, N = 3SE +/- 2287404.12, N = 3SE +/- 32700124.58, N = 3SE +/- 4098947.09, N = 3SE +/- 33952426.18, N = 3SE +/- 50740995.75, N = 35300734898770980755090104393123613977620091771379013934171308000494471. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20000M40000M60000M80000M100000MMin: 53003842630 / Avg: 53007348986.67 / Max: 53014050410Min: 70976258590 / Avg: 70980755090 / Max: 70983733250Min: 104335229750 / Avg: 104393123613.33 / Max: 104448416700Min: 97754096980 / Avg: 97762009176.67 / Max: 97767823220Min: 137853119420 / Avg: 137901393416.67 / Max: 137966888820Min: 130701124400 / Avg: 130800049446.67 / Max: 1308691161101. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 0.59, N = 3SE +/- 0.58, N = 3SE +/- 0.69, N = 3SE +/- 0.51, N = 3SE +/- 1.47, N = 3SE +/- 0.14, N = 3556.39745.061093.65993.111447.011337.361. (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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500Min: 555.35 / Avg: 556.39 / Max: 557.39Min: 744.38 / Avg: 745.06 / Max: 746.21Min: 1092.62 / Avg: 1093.65 / Max: 1094.95Min: 992.23 / Avg: 993.11 / Max: 994Min: 1444.21 / Avg: 1447.01 / Max: 1449.17Min: 1337.09 / Avg: 1337.36 / Max: 1337.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3128.4297.0065.3170.0349.3852.16
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-OnlyRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100Min: 128.33 / Avg: 128.42 / Max: 128.59Min: 96.88 / Avg: 97 / Max: 97.11Min: 65.2 / Avg: 65.31 / Max: 65.47Min: 69.99 / Avg: 70.03 / Max: 70.06Min: 49.14 / Avg: 49.38 / Max: 49.59Min: 52.02 / Avg: 52.16 / Max: 52.31

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 68.21, N = 3SE +/- 219.54, N = 3SE +/- 113.24, N = 3SE +/- 90.21, N = 3SE +/- 355.52, N = 3SE +/- 546.53, N = 367935910481322371227941765691654411. (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: WPA PSKRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KMin: 67814 / Avg: 67935.33 / Max: 68050Min: 90764 / Avg: 91048 / Max: 91480Min: 132096 / Avg: 132237 / Max: 132461Min: 122624 / Avg: 122794.33 / Max: 122931Min: 175932 / Avg: 176569.33 / Max: 177161Min: 164727 / Avg: 165441.33 / Max: 1665151. (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/pathtracer/real_timeRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.00579, N = 3SE +/- 0.00213, N = 3SE +/- 0.00534, N = 3SE +/- 0.00404, N = 3SE +/- 0.00581, N = 3SE +/- 0.01069, N = 33.665134.865447.180546.693929.524678.97591
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215Min: 3.65 / Avg: 3.67 / Max: 3.67Min: 4.86 / Avg: 4.87 / Max: 4.87Min: 7.17 / Avg: 7.18 / Max: 7.19Min: 6.69 / Avg: 6.69 / Max: 6.7Min: 9.51 / Avg: 9.52 / Max: 9.53Min: 8.96 / Avg: 8.98 / Max: 9

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 0.29, N = 3SE +/- 0.08, N = 3SE +/- 0.23, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3412.55309.02209.33225.19158.81168.04
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350Min: 411.97 / Avg: 412.55 / Max: 412.92Min: 308.93 / Avg: 309.02 / Max: 309.18Min: 209.07 / Avg: 209.33 / Max: 209.78Min: 225 / Avg: 225.19 / Max: 225.49Min: 158.7 / Avg: 158.81 / Max: 158.92Min: 167.85 / Avg: 168.04 / Max: 168.24

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.55, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3165.78124.4084.0890.4663.9167.50
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D306090120150Min: 165.12 / Avg: 165.78 / Max: 166.87Min: 124.33 / Avg: 124.4 / Max: 124.48Min: 83.98 / Avg: 84.08 / Max: 84.21Min: 90.37 / Avg: 90.46 / Max: 90.53Min: 63.79 / Avg: 63.91 / Max: 64.13Min: 67.41 / Avg: 67.5 / Max: 67.62

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1000K2000K3000K4000K5000KSE +/- 1201.85, N = 3SE +/- 1666.67, N = 3SE +/- 6333.33, N = 3SE +/- 881.92, N = 3SE +/- 8412.95, N = 3SE +/- 1452.97, N = 31797667239166735076673076333466266741726671. (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: MD5Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D800K1600K2400K3200K4000KMin: 1796000 / Avg: 1797666.67 / Max: 1800000Min: 2390000 / Avg: 2391666.67 / Max: 2395000Min: 3499000 / Avg: 3507666.67 / Max: 3520000Min: 3075000 / Avg: 3076333.33 / Max: 3078000Min: 4649000 / Avg: 4662666.67 / Max: 4678000Min: 4170000 / Avg: 4172666.67 / Max: 41750001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20000M40000M60000M80000M100000MSE +/- 1775123.27, N = 3SE +/- 9313096.26, N = 3SE +/- 7146104.90, N = 3SE +/- 44766456.82, N = 3SE +/- 7300302.65, N = 3SE +/- 18286198.46, N = 33781023234350488170633742366231676942321413798014059090929108185271. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20000M40000M60000M80000M100000MMin: 37807333650 / Avg: 37810232343.33 / Max: 37813456900Min: 50469581350 / Avg: 50488170633.33 / Max: 50498480260Min: 74222367810 / Avg: 74236623166.67 / Max: 74244639130Min: 69376904940 / Avg: 69423214136.67 / Max: 69512729120Min: 98003961450 / Avg: 98014059090 / Max: 98028240900Min: 92876083110 / Avg: 92910818526.67 / Max: 929380980101. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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: gravity_spheres_volume/dim_512/ao/real_timeRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.01020, N = 3SE +/- 0.01753, N = 3SE +/- 0.02378, N = 3SE +/- 0.01886, N = 3SE +/- 0.04136, N = 3SE +/- 0.00256, N = 33.152504.172276.149195.794558.149077.70353
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215Min: 3.14 / Avg: 3.15 / Max: 3.17Min: 4.15 / Avg: 4.17 / Max: 4.21Min: 6.12 / Avg: 6.15 / Max: 6.2Min: 5.76 / Avg: 5.79 / Max: 5.81Min: 8.07 / Avg: 8.15 / Max: 8.2Min: 7.7 / Avg: 7.7 / Max: 7.71

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.03, N = 15SE +/- 0.02, N = 12SE +/- 0.06, N = 7SE +/- 0.06, N = 4SE +/- 0.16, N = 3SE +/- 0.09, N = 154.724.6510.0910.8411.4812.02MIN: 4.47 / MAX: 12.85MIN: 4.43 / MAX: 10.61MIN: 9.75 / MAX: 78.59MIN: 10.58 / MAX: 22.78MIN: 11.02 / MAX: 57.88MIN: 11.13 / MAX: 54.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620Min: 4.56 / Avg: 4.72 / Max: 4.88Min: 4.61 / Avg: 4.65 / Max: 4.82Min: 9.94 / Avg: 10.09 / Max: 10.38Min: 10.74 / Avg: 10.84 / Max: 10.99Min: 11.31 / Avg: 11.48 / Max: 11.8Min: 11.31 / Avg: 12.02 / Max: 12.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D7K14K21K28K35KSE +/- 3.00, N = 3SE +/- 43.14, N = 3SE +/- 53.72, N = 3SE +/- 87.86, N = 3SE +/- 67.51, N = 3SE +/- 47.94, N = 3126611677724852234053267931366
OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6K12K18K24K30KMin: 12655 / Avg: 12661 / Max: 12664Min: 16728 / Avg: 16777 / Max: 16863Min: 24745 / Avg: 24852 / Max: 24914Min: 23293 / Avg: 23404.67 / Max: 23578Min: 32553 / Avg: 32679 / Max: 32784Min: 31294 / Avg: 31366.33 / Max: 31457

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: AES-256-GCMRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50000M100000M150000M200000M250000MSE +/- 34295936.80, N = 3SE +/- 62514843.80, N = 3SE +/- 52022105.73, N = 3SE +/- 91047476.57, N = 3SE +/- 184417335.88, N = 3SE +/- 161187700.98, N = 3891488463431188682131231748759006771618671990102300180875932165818663831. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40000M80000M120000M160000M200000MMin: 89109214550 / Avg: 89148846343.33 / Max: 89217145480Min: 118744358370 / Avg: 118868213123.33 / Max: 118944949860Min: 174787697600 / Avg: 174875900676.67 / Max: 174967794070Min: 161707825290 / Avg: 161867199010 / Max: 162023167860Min: 229668327970 / Avg: 230018087593.33 / Max: 230294359790Min: 216275979200 / Avg: 216581866383.33 / Max: 2168229530301. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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: gravity_spheres_volume/dim_512/scivis/real_timeRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.00203, N = 3SE +/- 0.01549, N = 3SE +/- 0.00117, N = 3SE +/- 0.01960, N = 3SE +/- 0.01094, N = 3SE +/- 0.01462, N = 33.072154.088526.007135.702377.925107.56975
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215Min: 3.07 / Avg: 3.07 / Max: 3.08Min: 4.07 / Avg: 4.09 / Max: 4.12Min: 6 / Avg: 6.01 / Max: 6.01Min: 5.66 / Avg: 5.7 / Max: 5.73Min: 7.91 / Avg: 7.93 / Max: 7.95Min: 7.54 / Avg: 7.57 / Max: 7.6

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.34172.68344.02515.36686.7085SE +/- 0.002874, N = 3SE +/- 0.004366, N = 3SE +/- 0.007006, N = 3SE +/- 0.022017, N = 3SE +/- 0.033943, N = 3SE +/- 0.018911, N = 32.3145913.2894054.2251903.8760995.9629955.6279041. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 2.31 / Avg: 2.31 / Max: 2.32Min: 3.28 / Avg: 3.29 / Max: 3.3Min: 4.21 / Avg: 4.23 / Max: 4.24Min: 3.85 / Avg: 3.88 / Max: 3.92Min: 5.93 / Avg: 5.96 / Max: 6.03Min: 5.59 / Avg: 5.63 / Max: 5.651. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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: AES-128-GCMRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D60000M120000M180000M240000M300000MSE +/- 110264265.91, N = 3SE +/- 58489737.43, N = 3SE +/- 273721997.77, N = 3SE +/- 68861884.05, N = 3SE +/- 117940235.40, N = 3SE +/- 268142967.38, N = 31040098541571389037749132041358769271881941580002677532965102515396009971. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D50000M100000M150000M200000M250000MMin: 103789454950 / Avg: 104009854156.67 / Max: 104126593430Min: 138792626590 / Avg: 138903774913.33 / Max: 138990935240Min: 203606389830 / Avg: 204135876926.67 / Max: 204521052020Min: 188095314880 / Avg: 188194158000 / Max: 188326636200Min: 267551052870 / Avg: 267753296510 / Max: 267959550770Min: 251072227190 / Avg: 251539600996.67 / Max: 2520010448901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KSE +/- 5.70, N = 3SE +/- 4.59, N = 3SE +/- 32.50, N = 3SE +/- 21.30, N = 3SE +/- 18.16, N = 3SE +/- 11.09, N = 36019.28056.811924.110345.015483.513817.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KMin: 6008 / Avg: 6019.2 / Max: 6026.6Min: 8048.2 / Avg: 8056.77 / Max: 8063.9Min: 11859.6 / Avg: 11924.13 / Max: 11963.2Min: 10303 / Avg: 10344.97 / Max: 10372.3Min: 15457.9 / Avg: 15483.47 / Max: 15518.6Min: 13795.8 / Avg: 13817.53 / Max: 13832.21. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.00079, N = 3SE +/- 0.00095, N = 3SE +/- 0.00266, N = 3SE +/- 0.00442, N = 3SE +/- 0.00263, N = 3SE +/- 0.00527, N = 33.114934.125996.046305.633747.996617.57160
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215Min: 3.11 / Avg: 3.11 / Max: 3.12Min: 4.12 / Avg: 4.13 / Max: 4.13Min: 6.04 / Avg: 6.05 / Max: 6.05Min: 5.63 / Avg: 5.63 / Max: 5.64Min: 7.99 / Avg: 8 / Max: 8Min: 7.56 / Avg: 7.57 / Max: 7.58

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 35.637.5411.0110.0814.4513.511. (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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D48121620Min: 5.6 / Avg: 5.63 / Max: 5.65Min: 7.54 / Avg: 7.54 / Max: 7.54Min: 11 / Avg: 11.01 / Max: 11.02Min: 10.07 / Avg: 10.08 / Max: 10.1Min: 14.4 / Avg: 14.45 / Max: 14.48Min: 13.5 / Avg: 13.51 / Max: 13.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D16M32M48M64M80MSE +/- 407183.28, N = 3SE +/- 324778.30, N = 9SE +/- 707337.29, N = 3SE +/- 577386.15, N = 5SE +/- 370661.05, N = 3SE +/- 920101.18, N = 32995204039398726555461555333642176739318731744801. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D13M26M39M52M65MMin: 29266079 / Avg: 29952040 / Max: 30675136Min: 38112298 / Avg: 39398725.67 / Max: 40764001Min: 54132945 / Avg: 55546155.33 / Max: 56308488Min: 51856407 / Avg: 53336421 / Max: 55264892Min: 76048292 / Avg: 76739318 / Max: 77317277Min: 71406777 / Avg: 73174480.33 / Max: 745012511. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: CrownRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 313.3917.6626.1125.5334.2834.07MIN: 13.26 / MAX: 13.7MIN: 17.48 / MAX: 18.14MIN: 25.76 / MAX: 26.88MIN: 25.21 / MAX: 26.05MIN: 33.87 / MAX: 35.29MIN: 33.71 / MAX: 34.96
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: CrownRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835Min: 13.37 / Avg: 13.39 / Max: 13.42Min: 17.64 / Avg: 17.66 / Max: 17.7Min: 25.99 / Avg: 26.11 / Max: 26.29Min: 25.39 / Avg: 25.53 / Max: 25.66Min: 34.19 / Avg: 34.28 / Max: 34.35Min: 33.99 / Avg: 34.07 / Max: 34.15

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.00183, N = 3SE +/- 0.00262, N = 3SE +/- 0.00644, N = 3SE +/- 0.00266, N = 3SE +/- 0.03487, N = 3SE +/- 0.00360, N = 33.109744.107736.025335.623327.945187.55098
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215Min: 3.11 / Avg: 3.11 / Max: 3.11Min: 4.11 / Avg: 4.11 / Max: 4.11Min: 6.01 / Avg: 6.03 / Max: 6.04Min: 5.62 / Avg: 5.62 / Max: 5.63Min: 7.88 / Avg: 7.95 / Max: 7.98Min: 7.54 / Avg: 7.55 / Max: 7.55

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.44350.8871.33051.7742.2175SE +/- 0.00129, N = 3SE +/- 0.00017, N = 3SE +/- 0.00072, N = 3SE +/- 0.00072, N = 3SE +/- 0.00180, N = 3SE +/- 0.00193, N = 31.970921.487441.006661.082740.771480.81574
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 1.97 / Avg: 1.97 / Max: 1.97Min: 1.49 / Avg: 1.49 / Max: 1.49Min: 1.01 / Avg: 1.01 / Max: 1.01Min: 1.08 / Avg: 1.08 / Max: 1.08Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.81 / Avg: 0.82 / Max: 0.82

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: CrownRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 312.5416.5324.3023.9031.8731.88MIN: 12.4 / MAX: 12.78MIN: 16.29 / MAX: 16.93MIN: 24.1 / MAX: 24.75MIN: 23.65 / MAX: 24.33MIN: 31.55 / MAX: 32.69MIN: 31.52 / MAX: 32.48
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: CrownRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835Min: 12.49 / Avg: 12.54 / Max: 12.57Min: 16.42 / Avg: 16.53 / Max: 16.62Min: 24.27 / Avg: 24.3 / Max: 24.33Min: 23.83 / Avg: 23.9 / Max: 23.99Min: 31.82 / Avg: 31.87 / Max: 31.96Min: 31.76 / Avg: 31.88 / Max: 31.98

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.00858, N = 3SE +/- 0.05564, N = 3SE +/- 0.07019, N = 13SE +/- 0.03875, N = 3SE +/- 0.01772, N = 3SE +/- 0.03356, N = 39.040526.870284.817515.221783.557333.94232MIN: 8.66MIN: 6.53MIN: 4.54MIN: 5.03MIN: 3.41MIN: 3.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215Min: 9.02 / Avg: 9.04 / Max: 9.05Min: 6.76 / Avg: 6.87 / Max: 6.95Min: 4.67 / Avg: 4.82 / Max: 5.65Min: 5.18 / Avg: 5.22 / Max: 5.3Min: 3.53 / Avg: 3.56 / Max: 3.59Min: 3.88 / Avg: 3.94 / Max: 41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 1.39, N = 3SE +/- 5.56, N = 3SE +/- 1.67, N = 3SE +/- 0.51, N = 3SE +/- 0.30, N = 3SE +/- 4.25, N = 3730.50942.041398.201254.431855.481707.051. (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-INT8 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500Min: 727.74 / Avg: 730.5 / Max: 732.22Min: 935.3 / Avg: 942.04 / Max: 953.07Min: 1395.5 / Avg: 1398.2 / Max: 1401.24Min: 1253.58 / Avg: 1254.43 / Max: 1255.35Min: 1854.9 / Avg: 1855.48 / Max: 1855.9Min: 1700.68 / Avg: 1707.05 / Max: 1715.11. (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: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 5.29, N = 3SE +/- 0.49, N = 3SE +/- 1.85, N = 3SE +/- 0.65, N = 3SE +/- 1.22, N = 3SE +/- 0.69, N = 32874.182062.841431.031559.981133.721215.85MIN: 2848.45MIN: 2052.99MIN: 1419.84MIN: 1553.13MIN: 1124.52MIN: 1205.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D5001000150020002500Min: 2864.16 / Avg: 2874.18 / Max: 2882.12Min: 2061.93 / Avg: 2062.84 / Max: 2063.63Min: 1427.51 / Avg: 1431.03 / Max: 1433.75Min: 1558.84 / Avg: 1559.98 / Max: 1561.09Min: 1131.28 / Avg: 1133.72 / Max: 1135.12Min: 1214.73 / Avg: 1215.85 / Max: 1217.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -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: 192000 - Buffer Size: 1024Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.87841.75682.63523.51364.392SE +/- 0.000146, N = 3SE +/- 0.001267, N = 3SE +/- 0.005093, N = 3SE +/- 0.012268, N = 3SE +/- 0.026958, N = 3SE +/- 0.033927, N = 31.5420102.1658272.8038252.5608023.9041503.6965351. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 1.54 / Avg: 1.54 / Max: 1.54Min: 2.16 / Avg: 2.17 / Max: 2.17Min: 2.8 / Avg: 2.8 / Max: 2.81Min: 2.54 / Avg: 2.56 / Max: 2.58Min: 3.85 / Avg: 3.9 / Max: 3.95Min: 3.63 / Avg: 3.7 / Max: 3.731. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 0.93, N = 3SE +/- 0.72, N = 3SE +/- 0.65, N = 3SE +/- 0.58, N = 3SE +/- 3.90, N = 3SE +/- 2.71, N = 31445.761026.63731.94802.17577.36623.48MIN: 1426.15MIN: 1018.25MIN: 724.15MIN: 797.8MIN: 566.15MIN: 612.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500Min: 1444.01 / Avg: 1445.76 / Max: 1447.2Min: 1025.88 / Avg: 1026.63 / Max: 1028.06Min: 731.18 / Avg: 731.94 / Max: 733.24Min: 801.28 / Avg: 802.17 / Max: 803.27Min: 569.85 / Avg: 577.36 / Max: 582.95Min: 618.11 / Avg: 623.48 / Max: 626.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 4.30, N = 3SE +/- 1.05, N = 3SE +/- 0.45, N = 3SE +/- 1.43, N = 3SE +/- 1.83, N = 3SE +/- 1.01, N = 3404.65486.21738.48791.99771.371012.451. (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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000Min: 396.05 / Avg: 404.65 / Max: 409.19Min: 484.23 / Avg: 486.21 / Max: 487.8Min: 737.73 / Avg: 738.48 / Max: 739.27Min: 790.55 / Avg: 791.99 / Max: 794.85Min: 768.39 / Avg: 771.37 / Max: 774.69Min: 1010.55 / Avg: 1012.45 / Max: 1013.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1632486480SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 371.6769.4448.6930.9646.8128.771. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1428425670Min: 71.64 / Avg: 71.67 / Max: 71.7Min: 69.41 / Avg: 69.44 / Max: 69.47Min: 48.57 / Avg: 48.69 / Max: 48.88Min: 30.67 / Avg: 30.96 / Max: 31.1Min: 46.58 / Avg: 46.81 / Max: 46.98Min: 28.66 / Avg: 28.77 / Max: 28.991. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.11780.23560.35340.47120.589SE +/- 0.001117, N = 4SE +/- 0.000777, N = 4SE +/- 0.000580, N = 4SE +/- 0.000079, N = 4SE +/- 0.000516, N = 4SE +/- 0.000412, N = 40.5236910.3879940.2646710.2949630.2103360.229639MIN: 0.51MIN: 0.37MIN: 0.25MIN: 0.29MIN: 0.2MIN: 0.221. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.26 / Avg: 0.26 / Max: 0.27Min: 0.29 / Avg: 0.29 / Max: 0.3Min: 0.21 / Avg: 0.21 / Max: 0.21Min: 0.23 / Avg: 0.23 / Max: 0.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -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: 512Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1.25072.50143.75215.00286.2535SE +/- 0.004067, N = 3SE +/- 0.006900, N = 3SE +/- 0.009412, N = 3SE +/- 0.015310, N = 3SE +/- 0.044084, N = 3SE +/- 0.042581, N = 32.2514503.1578173.9992463.6840215.5586665.2028201. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 2.24 / Avg: 2.25 / Max: 2.26Min: 3.14 / Avg: 3.16 / Max: 3.17Min: 3.98 / Avg: 4 / Max: 4.01Min: 3.67 / Avg: 3.68 / Max: 3.71Min: 5.5 / Avg: 5.56 / Max: 5.65Min: 5.14 / Avg: 5.2 / Max: 5.281. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 33.114.156.025.637.657.341. (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 FP16 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215Min: 3.11 / Avg: 3.11 / Max: 3.11Min: 4.13 / Avg: 4.15 / Max: 4.17Min: 5.98 / Avg: 6.02 / Max: 6.06Min: 5.6 / Avg: 5.63 / Max: 5.64Min: 7.63 / Avg: 7.65 / Max: 7.67Min: 7.3 / Avg: 7.34 / Max: 7.391. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian DragonRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 313.7617.8625.9225.8432.7033.71MIN: 13.69 / MAX: 13.9MIN: 17.78 / MAX: 18.18MIN: 25.79 / MAX: 26.15MIN: 25.69 / MAX: 26.23MIN: 32.52 / MAX: 33.15MIN: 33.5 / MAX: 34.21
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian DragonRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835Min: 13.74 / Avg: 13.76 / Max: 13.78Min: 17.84 / Avg: 17.86 / Max: 17.87Min: 25.89 / Avg: 25.92 / Max: 25.95Min: 25.78 / Avg: 25.84 / Max: 25.91Min: 32.65 / Avg: 32.7 / Max: 32.78Min: 33.65 / Avg: 33.71 / Max: 33.74

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon ObjRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 312.4516.0723.2523.3229.0830.31MIN: 12.38 / MAX: 12.62MIN: 15.95 / MAX: 16.28MIN: 23.04 / MAX: 23.56MIN: 23.13 / MAX: 23.72MIN: 28.87 / MAX: 29.59MIN: 29.99 / MAX: 30.83
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer - Model: Asian Dragon ObjRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835Min: 12.43 / Avg: 12.45 / Max: 12.47Min: 16.03 / Avg: 16.07 / Max: 16.09Min: 23.14 / Avg: 23.25 / Max: 23.36Min: 23.24 / Avg: 23.32 / Max: 23.4Min: 29.04 / Avg: 29.08 / Max: 29.12Min: 30.2 / Avg: 30.31 / Max: 30.38

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 33.134.165.935.527.547.311. (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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D3691215Min: 3.11 / Avg: 3.13 / Max: 3.15Min: 4.13 / Avg: 4.16 / Max: 4.19Min: 5.82 / Avg: 5.93 / Max: 6Min: 5.49 / Avg: 5.52 / Max: 5.56Min: 7.53 / Avg: 7.54 / Max: 7.55Min: 7.24 / Avg: 7.31 / Max: 7.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.80121.60242.40363.20484.006SE +/- 0.001407, N = 3SE +/- 0.008125, N = 3SE +/- 0.002243, N = 3SE +/- 0.001425, N = 3SE +/- 0.008262, N = 3SE +/- 0.014635, N = 31.4888722.0714842.6273522.4569493.5606903.3550911. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 1.49 / Avg: 1.49 / Max: 1.49Min: 2.06 / Avg: 2.07 / Max: 2.09Min: 2.63 / Avg: 2.63 / Max: 2.63Min: 2.45 / Avg: 2.46 / Max: 2.46Min: 3.55 / Avg: 3.56 / Max: 3.58Min: 3.33 / Avg: 3.36 / Max: 3.371. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 0.17, N = 3SE +/- 0.34, N = 3SE +/- 0.30, N = 3SE +/- 0.53, N = 3SE +/- 0.24, N = 3SE +/- 0.65, N = 31224.06948.63649.96673.54512.24516.66
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D2004006008001000Min: 1223.88 / Avg: 1224.06 / Max: 1224.41Min: 948.19 / Avg: 948.63 / Max: 949.3Min: 649.41 / Avg: 649.96 / Max: 650.44Min: 672.77 / Avg: 673.54 / Max: 674.57Min: 511.81 / Avg: 512.24 / Max: 512.65Min: 515.71 / Avg: 516.65 / Max: 517.9

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90K180K270K360K450K1789712385183237592987624262884035181. (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

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.58741.17481.76222.34962.937SE +/- 0.01438, N = 5SE +/- 0.01211, N = 5SE +/- 0.00626, N = 5SE +/- 0.00974, N = 5SE +/- 0.01138, N = 5SE +/- 0.01363, N = 142.610852.361191.543011.157801.561581.09757MIN: 2.48MIN: 2.28MIN: 1.44MIN: 1.07MIN: 1.43MIN: 0.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 2.56 / Avg: 2.61 / Max: 2.64Min: 2.34 / Avg: 2.36 / Max: 2.4Min: 1.53 / Avg: 1.54 / Max: 1.56Min: 1.13 / Avg: 1.16 / Max: 1.19Min: 1.53 / Avg: 1.56 / Max: 1.59Min: 1.04 / Avg: 1.1 / Max: 1.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian DragonRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D918273645SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 315.7420.3529.0629.5734.9537.24MIN: 15.64 / MAX: 15.98MIN: 20.22 / MAX: 20.73MIN: 28.88 / MAX: 29.56MIN: 29.35 / MAX: 30.08MIN: 34.59 / MAX: 35.88MIN: 36.89 / MAX: 38.22
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian DragonRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D816243240Min: 15.72 / Avg: 15.74 / Max: 15.77Min: 20.34 / Avg: 20.35 / Max: 20.38Min: 29.05 / Avg: 29.06 / Max: 29.08Min: 29.51 / Avg: 29.57 / Max: 29.63Min: 34.91 / Avg: 34.95 / Max: 34.99Min: 37.19 / Avg: 37.24 / Max: 37.3

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.74791.49582.24372.99163.7395SE +/- 0.00860, N = 9SE +/- 0.00300, N = 9SE +/- 0.00137, N = 9SE +/- 0.00341, N = 9SE +/- 0.00282, N = 9SE +/- 0.00164, N = 93.323792.253461.798962.013991.406171.51306MIN: 2.96MIN: 2.11MIN: 1.7MIN: 1.97MIN: 1.34MIN: 1.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 3.29 / Avg: 3.32 / Max: 3.36Min: 2.24 / Avg: 2.25 / Max: 2.27Min: 1.79 / Avg: 1.8 / Max: 1.81Min: 2 / Avg: 2.01 / Max: 2.03Min: 1.39 / Avg: 1.41 / Max: 1.42Min: 1.51 / Avg: 1.51 / Max: 1.521. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.4317.3624.7725.2029.8631.76MIN: 13.34 / MAX: 13.74MIN: 17.25 / MAX: 17.65MIN: 24.58 / MAX: 25.23MIN: 25 / MAX: 25.6MIN: 29.55 / MAX: 30.93MIN: 31.51 / MAX: 32.61
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D714212835Min: 13.41 / Avg: 13.43 / Max: 13.45Min: 17.36 / Avg: 17.36 / Max: 17.37Min: 24.73 / Avg: 24.77 / Max: 24.81Min: 25.14 / Avg: 25.2 / Max: 25.25Min: 29.82 / Avg: 29.86 / Max: 29.88Min: 31.73 / Avg: 31.76 / Max: 31.77

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1122334455SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.01, N = 3SE +/- 0.09, N = 4SE +/- 0.02, N = 421.6828.1637.1533.4550.9246.36
OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1020304050Min: 21.65 / Avg: 21.68 / Max: 21.71Min: 28.12 / Avg: 28.16 / Max: 28.19Min: 37.08 / Avg: 37.15 / Max: 37.26Min: 33.43 / Avg: 33.45 / Max: 33.46Min: 50.67 / Avg: 50.92 / Max: 51.08Min: 46.3 / Avg: 46.36 / Max: 46.41

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D15003000450060007500SE +/- 18.56, N = 6SE +/- 24.15, N = 6SE +/- 19.61, N = 6SE +/- 46.73, N = 7SE +/- 42.46, N = 6SE +/- 58.70, N = 62942.633385.474992.696033.856075.776888.461. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D12002400360048006000Min: 2894.09 / Avg: 2942.63 / Max: 3025.64Min: 3328.2 / Avg: 3385.47 / Max: 3457.87Min: 4930.67 / Avg: 4992.69 / Max: 5023.7Min: 5916.8 / Avg: 6033.85 / Max: 6192Min: 5916.8 / Avg: 6075.77 / Max: 6192Min: 6656.4 / Avg: 6888.46 / Max: 7006.741. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.42, N = 3SE +/- 0.49, N = 4SE +/- 0.47, N = 10SE +/- 0.48, N = 8SE +/- 0.57, N = 15SE +/- 0.51, N = 1533.3343.4061.5156.3677.1571.981. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4KRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1530456075Min: 32.49 / Avg: 33.33 / Max: 33.86Min: 41.93 / Avg: 43.4 / Max: 44.04Min: 57.3 / Avg: 61.51 / Max: 62.26Min: 53.02 / Avg: 56.36 / Max: 57.06Min: 69.23 / Avg: 77.15 / Max: 78.09Min: 64.88 / Avg: 71.98 / Max: 72.761. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 237.39, N = 3SE +/- 188.30, N = 3SE +/- 131.80, N = 3SE +/- 75.96, N = 3SE +/- 85.31, N = 3SE +/- 298.51, N = 381518.68109607.62148467.63135184.24188361.90179232.781. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 200Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KMin: 81050.42 / Avg: 81518.68 / Max: 81820.67Min: 109268.52 / Avg: 109607.62 / Max: 109919.05Min: 148270.81 / Avg: 148467.63 / Max: 148717.91Min: 135037.29 / Avg: 135184.24 / Max: 135291.12Min: 188191.44 / Avg: 188361.9 / Max: 188453.38Min: 178686.24 / Avg: 179232.78 / Max: 179714.141. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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 1D - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.340.681.021.361.7SE +/- 0.000252, N = 4SE +/- 0.000514, N = 4SE +/- 0.003738, N = 4SE +/- 0.001233, N = 4SE +/- 0.007237, N = 5SE +/- 0.007186, N = 151.5111901.1458100.9746131.0675700.6549450.722234MIN: 1.44MIN: 1.1MIN: 0.92MIN: 1.03MIN: 0.59MIN: 0.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPURyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 1.51 / Avg: 1.51 / Max: 1.51Min: 1.14 / Avg: 1.15 / Max: 1.15Min: 0.97 / Avg: 0.97 / Max: 0.99Min: 1.07 / Avg: 1.07 / Max: 1.07Min: 0.64 / Avg: 0.65 / Max: 0.68Min: 0.7 / Avg: 0.72 / Max: 0.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.74031.48062.22092.96123.7015SE +/- 0.02, N = 15SE +/- 0.02, N = 12SE +/- 0.03, N = 7SE +/- 0.01, N = 4SE +/- 0.05, N = 3SE +/- 0.01, N = 151.551.432.963.083.193.29MIN: 1.42 / MAX: 7.54MIN: 1.35 / MAX: 7.4MIN: 2.84 / MAX: 7.42MIN: 3.03 / MAX: 7.37MIN: 3.06 / MAX: 33.7MIN: 3.18 / MAX: 9.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 1.46 / Avg: 1.55 / Max: 1.63Min: 1.37 / Avg: 1.43 / Max: 1.57Min: 2.9 / Avg: 2.96 / Max: 3.11Min: 3.06 / Avg: 3.08 / Max: 3.1Min: 3.14 / Avg: 3.19 / Max: 3.29Min: 3.25 / Avg: 3.29 / Max: 3.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D160320480640800SE +/- 0.31, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.27, N = 3SE +/- 0.28, N = 3SE +/- 0.13, N = 3743.23585.86401.82409.47328.89323.89
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D130260390520650Min: 742.62 / Avg: 743.23 / Max: 743.61Min: 585.57 / Avg: 585.86 / Max: 586.1Min: 401.52 / Avg: 401.82 / Max: 402.25Min: 408.92 / Avg: 409.47 / Max: 409.8Min: 328.51 / Avg: 328.89 / Max: 329.43Min: 323.69 / Avg: 323.89 / Max: 324.14

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D90180270360450SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 1.20, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3179230328329409407MIN: 21 / MAX: 2742MIN: 28 / MAX: 3431MIN: 42 / MAX: 4570MIN: 39 / MAX: 4761MIN: 56 / MAX: 5419MIN: 53 / MAX: 5124
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D70140210280350Min: 178 / Avg: 178.67 / Max: 179Min: 230 / Avg: 230 / Max: 230Min: 327 / Avg: 327.67 / Max: 328Min: 327 / Avg: 329.33 / Max: 331Min: 409 / Avg: 409 / Max: 409Min: 407 / Avg: 407.33 / Max: 408

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.76731.53462.30193.06923.8365SE +/- 0.03, N = 15SE +/- 0.01, N = 11SE +/- 0.03, N = 7SE +/- 0.01, N = 4SE +/- 0.04, N = 3SE +/- 0.01, N = 151.631.503.063.193.253.41MIN: 1.5 / MAX: 7.84MIN: 1.44 / MAX: 7.67MIN: 2.95 / MAX: 10.86MIN: 3.12 / MAX: 9.3MIN: 3.15 / MAX: 9.02MIN: 3.25 / MAX: 9.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 1.53 / Avg: 1.63 / Max: 1.85Min: 1.46 / Avg: 1.5 / Max: 1.59Min: 3 / Avg: 3.06 / Max: 3.19Min: 3.17 / Avg: 3.19 / Max: 3.23Min: 3.2 / Avg: 3.25 / Max: 3.34Min: 3.35 / Avg: 3.41 / Max: 3.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1326395265SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 5SE +/- 0.08, N = 526.3533.9343.7239.2759.8154.45
OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1224364860Min: 26.28 / Avg: 26.35 / Max: 26.39Min: 33.74 / Avg: 33.93 / Max: 34.06Min: 43.61 / Avg: 43.72 / Max: 43.93Min: 39.21 / Avg: 39.27 / Max: 39.35Min: 59.64 / Avg: 59.81 / Max: 59.95Min: 54.16 / Avg: 54.45 / Max: 54.62

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 59.93, N = 3SE +/- 52.22, N = 3SE +/- 234.97, N = 3SE +/- 26.01, N = 3SE +/- 413.17, N = 3SE +/- 87.07, N = 383186.07110819.10147810.43134927.90188405.16177681.071. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 100Ryzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D30K60K90K120K150KMin: 83066.71 / Avg: 83186.07 / Max: 83255.12Min: 110721.36 / Avg: 110819.1 / Max: 110899.84Min: 147363.75 / Avg: 147810.43 / Max: 148160.25Min: 134894.36 / Avg: 134927.9 / Max: 134979.12Min: 187711.84 / Avg: 188405.16 / Max: 189141.18Min: 177539.44 / Avg: 177681.07 / Max: 177839.631. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D0.60621.21241.81862.42483.031SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 31.1921.5472.2682.2832.6082.6941. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D246810Min: 1.18 / Avg: 1.19 / Max: 1.2Min: 1.54 / Avg: 1.55 / Max: 1.55Min: 2.26 / Avg: 2.27 / Max: 2.28Min: 2.28 / Avg: 2.28 / Max: 2.29Min: 2.6 / Avg: 2.61 / Max: 2.62Min: 2.69 / Avg: 2.69 / Max: 2.71. (CXX) g++ options: -O3

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D1020304050SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 4SE +/- 0.02, N = 420.4926.5634.7631.2046.3041.84
OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D918273645Min: 20.46 / Avg: 20.49 / Max: 20.52Min: 26.49 / Avg: 26.56 / Max: 26.64Min: 34.69 / Avg: 34.76 / Max: 34.87Min: 31.1 / Avg: 31.2 / Max: 31.29Min: 46.24 / Avg: 46.3 / Max: 46.39Min: 41.81 / Avg: 41.84 / Max: 41.89

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 5 7600XRyzen 7 7700XRyzen 9 7900XRyzen 9 7900X3DRyzen 9 7950XRyzen 9 7950X3D40K80K120K160K200KSE +/- 81.55, N = 3SE +/- 81.47, N = 3SE +/- 174.57, N = 3SE +/- 53.85, N = 3SE +/- 901.16, N = 3SE +/- 116.67, N = 374596.4498019.87133655.23129547.31152268.17168262.811. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2