AMD Ryzen 9 7950X3D Linux Review Benchmarks

AMD Ryzen 9 7950X3D Linux review benchmarks for a future article on Phoronix.

HTML result view exported from: https://openbenchmarking.org/result/2302260-NE-CPUBENCHM18.

AMD Ryzen 9 7950X3D Linux Review BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3DIntel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (0809 BIOS)Intel Device 7a2732GBWestern Digital WD_BLACK SN850X 1000GB + 2000GBAMD Radeon RX 7900 XTX 24GB (2304/1249MHz)Realtek ALC897ASUS VP28UIntel Device 7a70Ubuntu 23.046.2.0-060200rc8daily20230213-generic (x86_64)GNOME Shell 43.2X Server 1.21.1.64.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49)GCC 12.2.0ext43840x2160AMD Ryzen 7 5800X3D 8-Core @ 4.55GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VIII HERO (4402 BIOS)AMD Starship/MatisseAMD Device ab30ASUS MG28URealtek RTL8125 2.5GbE + Intel I211AMD Ryzen 9 5950X 16-Core @ 5.08GHz (16 Cores / 32 Threads)AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (9922 BIOS)AMD Device 14d8Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Disk Details- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Core i9 13900K: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x10e - Thermald 2.5.2- Ryzen 7 5800X3D: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa20120a- Ryzen 9 5950X: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa201025- Ryzen 9 7950X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7950X3D: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Details- OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Details- Python 3.11.1Security Details- Core i9 13900K: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 7 5800X3D: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 9 7950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 9 7950X3D: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD Ryzen 9 7950X3D Linux Review Benchmarksbrl-cad: VGR Performance Metriconnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timeospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerrawtherapee: Total Benchmark Timedarktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Server Room - CPU-onlydarktable: Server Rack - CPU-onlygimp: unsharp-maskgimp: resizegimp: rotategimp: auto-levelsopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: Hogbom Clean OpenMPcompress-zstd: 3 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 12 - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingcompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetncnn: CPU - mnasnetxmrig: Monero - 1Mxmrig: Wownero - 1Mpennant: leblancbigpennant: sedovbighpcg: incompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionaom-av1: Speed 10 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 0 Two-Pass - Bosphorus 4Kkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Preset 13 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Ksvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 4Kvpxenc: Speed 5 - Bosphorus 1080pvpxenc: Speed 5 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 1080pvpxenc: Speed 0 - Bosphorus 4Kx264: Bosphorus 1080px264: Bosphorus 4Kx265: Bosphorus 1080px265: Bosphorus 4Kdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitgromacs: MPI CPU - water_GMX50_barenamd: ATPase Simulation - 327,506 Atomslczero: BLASlczero: Eigengegl: Rotate 90 Degreesgegl: Scalegegl: Antialiasgegl: Cartoongegl: Color Enhancegegl: Cropgegl: Wavelet Blurgegl: Reflectgegl: Tile Glassdraco: Church Facadedraco: Liontoktx: Zstd Compression 19toktx: UASTC 3toktx: UASTC 3 + Zstd Compression 19toktx: UASTC 4 + Zstd Compression 19gpaw: Carbon Nanotubeclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runsysbench: CPUluaradio: Five Back to Back FIR Filtersluaradio: FM Deemphasis Filterluaradio: Hilbert Transformluaradio: Complex Phasenode-express-loadtest: node-web-tooling: phpbench: PHP Benchmark Suitepybench: Total For Average Test Timesrnnoise: tensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception V4octave-benchmark: selenium: ARES-6 - Google Chromeselenium: Speedometer - Google Chromeselenium: Octane - Google Chromeselenium: Jetstream 2 - Google Chromeselenium: PSPDFKit WASM - Google Chromeselenium: WASM collisionDetection - Google Chromeselenium: WASM imageConvolute - Google Chromeselenium: Kraken - Google Chromesimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetquantlib: lulesh: renaissance: Akka Unbalanced Cobwebbed Treerenaissance: Savina Reactors.IOrenaissance: Apache Spark ALSrenaissance: Rand Forestrenaissance: Apache Spark Bayesrenaissance: Apache Spark PageRankrenaissance: Scala Dottyrenaissance: Finagle HTTP Requestsrenaissance: Genetic Algorithm Using Jenetics + Futuresrenaissance: ALS Movie Lensdacapobench: H2dacapobench: Jythonhimeno: Poisson Pressure Solvercrafty: Elapsed Timetachyon: Total Timelammps: Rhodopsin Proteinlammps: 20k Atomswebp: Defaultwebp: Quality 100webp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Quality 100, Lossless, Highest Compressionavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-godot: Time To Compilebuild-mesa: Time To Compilebuild-ffmpeg: Time To Compilebuild-mplayer: Time To Compilecpuminer-opt: scryptcpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Myriad-Groestlcpuminer-opt: Magicpuminer-opt: x25xcpuminer-opt: Garlicoincpuminer-opt: Ringcoincpuminer-opt: Deepcoincpuminer-opt: Skeincoincpuminer-opt: LBC, LBRY Creditsrocksdb: Seq Fillrocksdb: Rand Fillrocksdb: Rand Fill Syncrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randamg: openems: pyEMS Couplerstargate: 44100 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 480000 - 1024stargate: 96000 - 512stargate: 96000 - 1024stargate: 192000 - 512stargate: 192000 - 1024embree: Pathtracer - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownnumenta-nab: Bayesian Changepointnumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: Earthgecko Skylinenumenta-nab: KNN CADnumenta-nab: Contextual Anomaly Detector OSErav1e: 10rav1e: 6rav1e: 5rav1e: 1blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlydeepspeech: CPUstress-ng: CPU Stressstress-ng: Cryptostress-ng: Memory Copyingstress-ng: Glibc Qsort Data Sortingstress-ng: Glibc C String Functionsstress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: Semaphoresstress-ng: Socket Activitystress-ng: CPU Cachestress-ng: Mallocstress-ng: IO_uringnumpy: dolfyn: Computational Fluid Dynamicsradiance: Serialradiance: SMP Parallelwireguard: sqlite-speedtest: Timed Time - Size 1,000gcrypt: encode-mp3: WAV To MP3graphics-magick: HWB Color Spacegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Swirlsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: OFDM_Testappleseed: Emilyappleseed: Disney Materialappleseed: Material Testerindigobench: CPU - Supercarindigobench: CPU - Bedroomv-ray: CPUbuild2: Time To Compileopenvkl: vklBenchmark Scalaropenvkl: vklBenchmark ISPCliquid-dsp: 8 - 256 - 57liquid-dsp: 16 - 256 - 57liquid-dsp: 32 - 256 - 57luxcorerender: DLSC - CPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUluxcorerender: Danish Mood - CPUmt-dgemm: Sustained Floating-Point Rateprimesieve: 1e12primesieve: 1e13n-queens: Elapsed Timem-queens: Time To Solvenatron: Spaceshiptnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2tjbench: Decompression Throughputunpack-linux: linux-5.19.tar.xzunpack-firefox: firefox-84.0.source.tar.xzpyhpc: CPU - Numpy - 1048576 - Equation of Statepyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingpyhpc: CPU - Numpy - 4194304 - Equation of Statepyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingmrbayes: Primate Phylogeny AnalysisCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D4586672.98374335.14993.259310.722520.727248.2500180.1895.546919.30016107.524329.4803.0348059.234616.92055.611417.2618.32434.9917587.931.8119215.541.663.512240.873.492259.511865.0917.15562.2356.87955.918.36340.0723.49689.3711.5961.20130.595.098794.933636.873169.744089.70627229.10912834054850261641721305412315116167032152548310597919507433.0751.9401.9671.5300.17711.86112.6629.46910.10526.461967158.763514933.627637.142814.434149.47628.9613574.62362.81329.22399.0759.52595.2718.42577.0255.92580.820.62207.011.52122.318272114515712902.1513858.285.1313077.382.9613453.75.870620.9658241.448650.6577250.7835562140.952180.931111.501125.157.912.482.172.523.671.086.6119.485.464.159.4514.568.558.36117.333.172.409293.915096.727.20308138.71499.9360911.637070951.8130090273.80127.03292.27126.14256.61101.82254.21120.3870.2623.3227.7012.391.200.4172.3575.22164.74216.38282.1018.7519.1643.4055.0375.97734.091220.289739.380229.834183.43666.81212.9684.89322.485.72342.53103.67677.40203.22446.60117.33536.29153.15521.50145.0646.5622.6321.1810.66257.5566.9888.1534.38976.80429.211426.55698.981.1580.623911047180429.8055.39419.80254.55530.8226.58035.40617.67917.3194273323912.8314.8738.323112.291191.169281.69309.08307.59108215.791969.5719.2254.01096.91763625.92163985138811.6591349.901880.1521377.15.5736.26436113751375.4062261184.1315.34341.96.941.935.287.938.075310.611725.4636918.73623.31863.8384.5665.91692.2444.81941.21007.47465.91571163410395.5179301450805753.092317.57616.51025.4816.395.062.350.9370.26634.2723.3135.6343.243339.5293125.146716.36031.537347.346548.476266.681295.10050.91622.53021.94116.013330.68442800199987173071174.691115.693012.285233.72185931596875331314865491374439436771767174623859856303521684953741511920069.425.2350145.6420155.0774125.4244423.6973384.0260292.3722312.66087233.543328.771437.249830.174615.3733.2647.44847.18690.88416.94715.9916.9494.5721.15952.94155.3577.13185.26596.2144.8125451978.2944383.167123.55407.224310974.12119388.16103299.383517761.8227224.2487.6233684130.5333506.34796.3510.314344.614112.36393.03731.699137.1754.7621668609562204516773731100618.9229.3692.9246.9636.6185.2703.9205.1228.2109.5198833333167.45814984.78686997.8450611.6024.0072768155.477199348825373333128663333317157000004.2016.773.856.953.428.41752911.327130.8406.13631.9046.21434.837153.437123.20135.236314.2751304.15310.9650.1780.3291.0531.487122.6611667301.68037598.45399.761310.3543816.649460.0644139.3437.1872332.058031.1927193.0405.1972141.500724.21642.831404.325.83684.928671.530.929344.300.851.772242.091.742289.64566.7814.11276.5314.46413.799.66272.7514.66446.968.9428.87138.391.780011.675112.696583.506833.46547115.156286796810113743692902888976681153437385733821132311346743667854.3775.0645.0004.4800.33214.43413.09012.45512.88136.633858275.410836022.718500.6933.6231588.41480.7752160.71570.11292.81622.5576.11697.7600.21732.6155.31778.419.01575.410.81508.7840397389711683.2012991.765.0212626.062.4112734.211.78081.799602.582800.6083390.8254352703.162704.051381.461383.297.152.071.831.963.350.745.0532.775.794.3912.8412.458.605.73148.932.311.987748.08405.742.8538166.068464.5714527.8425433129.901011295.2696.55304.6597.17231.4772.94252.6789.0644.7314.2317.727.730.630.2247.7049.4799.07128.80171.959.269.4823.6829.4239.07535.900118.025461.588109.781102.42936.4269.3172.9169.492.38141.8545.53284.5883.85158.4845.77204.8154.53201.4051.3337.2721.7716.818.67139.9832.4472.2916.11767.36253.071041.69697.221.2311.856791275109237.2097.83529.05074.13542.0308.56245.26924.85823.3834302361613.33310.49713.294290.754308.46344673.831823.0442.3119.3801.5695817.3189144567016.1371822.873375.0838402.96.2339.0528076303267.8002613268.4923.28466.54.551.253.625.495.233482.85579.12747444.73916.02413.4482.91531.42157.3600.92862.51163.67206.1177530305021.84002210914908139.66117.3107.34120.8413.224.251.700.67152.14471.6977.23210.9695.377157.962854.74936.73230.7013110.8661389.670646.224666.082120.10249.31650.22136.438161.111885078369018720448.97432.772598.492127.939389.6284793271671390938103312521599533662802258214187957354990323413610045.883.2604853.3593973.1621333.2623752.3420922.4369011.5642441.64758916.479714.546116.029813.765923.3477.67014.73382.217183.07333.26112.4615.1143.3300.752136.16370.89168.81432.431347.1044.2994524536.0816797.662763.44129.811752396.4459200.3143765.161730567.0012402.4024.387668646.5928761.78620.3614.249460.151142.24135.59345.821182.3546.04912443012221080998118535470.7174.6515.4182.7472.2163.1516.7173.1154.175.6157733333316.43401205.550573181.2587244.9052.34812183123.473911565539233336279266676287500002.029.041.703.241.574.69330617.968223.96313.66461.3113.32593.472246.695225.96855.281254.4657014.86513.0490.1460.3800.8341.69385.2982743911.84790558.835104.4709.5719615.844063.6882122.5318.1807528.420735.6197262.7953.8148140.126124.94584.031965.829.77815.1213284.361.2014354.781.112.513159.122.463226.89960.2016.65438.3218.23685.2811.66240.3033.25600.7713.3037.38213.783.249533.084514.944926.416326.31897168.03415514992761902034521571506426281205632184063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BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.34VGR Performance MetricCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D100K200K300K400K500K4586671667302743914306383940941. (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

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.34VGR Performance MetricCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D70014002100280035002101.861398.592045.012071.503080.31

BRL-CAD

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.1218.2300.4Ryzen 7 5800X3D18.5119.2130.2Ryzen 9 5950X21.8134.2139.5Ryzen 9 7950X20.3207.9227.8Ryzen 9 7950X3D20.8127.9136.8OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.34CPU Power Consumption Monitor80160240320400

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.81991.63982.45973.27964.0995SE +/- 0.00365, N = 3SE +/- 0.03603, N = 12SE +/- 0.08488, N = 15SE +/- 0.00601, N = 3SE +/- 0.00385, N = 32.983741.680371.847903.644003.611931. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D130260390520650SE +/- 0.41, N = 3SE +/- 14.25, N = 12SE +/- 27.51, N = 15SE +/- 0.45, N = 3SE +/- 0.29, N = 3335.15598.45558.84274.42276.861. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.02, N = 3SE +/- 4.42, N = 15SE +/- 0.50, N = 3SE +/- 5.71, N = 15SE +/- 0.27, N = 393.2699.76104.47219.43212.221. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.00201, N = 3SE +/- 0.53809, N = 15SE +/- 0.04597, N = 3SE +/- 0.14482, N = 15SE +/- 0.00590, N = 310.7225010.354389.571964.609714.711791. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D510152025SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 15SE +/- 0.60, N = 12SE +/- 0.04, N = 320.7316.6515.8417.9720.291. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D1428425670SE +/- 0.37, N = 3SE +/- 0.34, N = 3SE +/- 1.70, N = 15SE +/- 1.83, N = 12SE +/- 0.10, N = 348.2560.0663.6956.3149.291. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D4080120160200SE +/- 0.10, N = 3SE +/- 1.55, N = 15SE +/- 1.68, N = 15SE +/- 0.64, N = 3SE +/- 0.22, N = 3180.19139.34122.53161.90190.031. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.00305, N = 3SE +/- 0.08499, N = 15SE +/- 0.11476, N = 15SE +/- 0.02430, N = 3SE +/- 0.00600, N = 35.546917.187238.180756.174645.260411. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D1020304050SE +/- 0.00412, N = 3SE +/- 0.02848, N = 3SE +/- 0.85477, N = 15SE +/- 1.24791, N = 15SE +/- 0.32106, N = 39.3001632.0580028.4207039.7595045.834201. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D20406080100SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 1.04, N = 15SE +/- 0.72, N = 15SE +/- 0.15, N = 3107.5231.1935.6225.4721.821. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D110220330440550SE +/- 2.35, N = 3SE +/- 2.92, N = 15SE +/- 3.54, N = 15SE +/- 5.64, N = 15SE +/- 5.55, N = 3329.48193.04262.80493.33493.351. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D1.16942.33883.50824.67765.847SE +/- 0.02151, N = 3SE +/- 0.08142, N = 15SE +/- 0.05352, N = 15SE +/- 0.02430, N = 15SE +/- 0.02285, N = 33.034805.197213.814812.030462.027251. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D1632486480SE +/- 0.77, N = 15SE +/- 0.75, N = 15SE +/- 0.35, N = 15SE +/- 0.29, N = 3SE +/- 2.46, N = 1559.2341.5040.1370.4765.851. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D612182430SE +/- 0.22, N = 15SE +/- 0.48, N = 15SE +/- 0.22, N = 15SE +/- 0.06, N = 3SE +/- 0.59, N = 1516.9224.2224.9514.1915.491. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 35.612.834.0314.4813.52-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 6.67, N = 3SE +/- 10.89, N = 3SE +/- 8.96, N = 3SE +/- 1.01, N = 3SE +/- 0.86, N = 31417.261404.321965.82550.02589.99-pie -ldl - MIN: 1086.31 / MAX: 1957.4-fPIC -shared - MIN: 1296.81 / MAX: 1476.41-fPIC -shared - MIN: 1462.45 / MAX: 2340.85-fPIC -shared - MIN: 531.31 / MAX: 582.87-fPIC -shared - MIN: 295.96 / MAX: 626.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4203.9310.3Ryzen 7 5800X3D16.3113.6134.8Ryzen 9 5950X17.8130.4143.9Ryzen 9 7950X20.2206.4230.3Ryzen 9 7950X3D20.2117.3132.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D714212835SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 318.325.839.7728.3126.07-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 1.20, N = 3SE +/- 0.98, N = 3SE +/- 0.97, N = 3SE +/- 0.34, N = 3SE +/- 0.23, N = 3434.99684.92815.12282.23306.37-pie -ldl - MIN: 264.24 / MAX: 1313.32-fPIC -shared - MIN: 600.38 / MAX: 700.03-fPIC -shared - MIN: 670.44 / MAX: 830.34-fPIC -shared - MIN: 268.77 / MAX: 288.18-fPIC -shared - MIN: 154.67 / MAX: 315.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.3202.3299.8Ryzen 7 5800X3D21.4127.4140.9Ryzen 9 5950X26.4122.5131.6Ryzen 9 7950X18.1205.7227.2Ryzen 9 7950X3D19.2117.4127.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D10K20K30K40K50KSE +/- 131.87, N = 3SE +/- 5.84, N = 3SE +/- 45.29, N = 3SE +/- 45.80, N = 3SE +/- 13.50, N = 317587.938671.5313284.3645170.1840665.29-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.40730.81461.22191.62922.0365SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.810.921.200.350.39-pie -ldl - MIN: 0.71 / MAX: 17.79-fPIC -shared - MIN: 0.53 / MAX: 9-fPIC -shared - MIN: 0.62 / MAX: 10.19-fPIC -shared - MIN: 0.21 / MAX: 7.08-fPIC -shared - MIN: 0.22 / MAX: 9.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.3209.4326.6Ryzen 7 5800X3D24.0122.8138.1Ryzen 9 5950X25.7124.6132.2Ryzen 9 7950X18.0212.3228.6Ryzen 9 7950X3D20.9121.0129.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D6K12K18K24K30KSE +/- 63.18, N = 3SE +/- 1.71, N = 3SE +/- 30.52, N = 3SE +/- 15.17, N = 3SE +/- 27.74, N = 319215.549344.3014354.7826151.5523609.26-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.37350.7471.12051.4941.8675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.660.851.110.610.67-pie -ldl - MIN: 0.69 / MAX: 17.94-fPIC -shared - MIN: 0.51 / MAX: 8.11-fPIC -shared - MIN: 0.64 / MAX: 15.48-fPIC -shared - MIN: 0.33 / MAX: 11.01-fPIC -shared - MIN: 0.35 / MAX: 8.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4209.0326.3Ryzen 7 5800X3D23.4121.9141.1Ryzen 9 5950X21.0124.5131.5Ryzen 9 7950X20.5215.7234.0Ryzen 9 7950X3D18.7113.4123.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 33.511.772.517.627.38-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D7001400210028003500SE +/- 5.54, N = 3SE +/- 1.18, N = 3SE +/- 7.98, N = 3SE +/- 2.36, N = 3SE +/- 3.92, N = 32240.872242.093159.121045.241077.91-pie -ldl - MIN: 1638.27 / MAX: 3037.36-fPIC -shared - MIN: 1995.69 / MAX: 2398.11-fPIC -shared - MIN: 1693.84 / MAX: 3677.17-fPIC -shared - MIN: 611.09 / MAX: 1300.14-fPIC -shared - MIN: 928.54 / MAX: 1280.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4198.8309.2Ryzen 7 5800X3D23.1112.7126.7Ryzen 9 5950X18.8131.6144.0Ryzen 9 7950X19.7194.0213.0Ryzen 9 7950X3D19.3113.3127.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 33.491.742.467.597.28-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D7001400210028003500SE +/- 8.48, N = 3SE +/- 4.89, N = 3SE +/- 10.16, N = 3SE +/- 3.14, N = 3SE +/- 5.79, N = 32259.512289.643226.891048.211094.08-pie -ldl - MIN: 956.01 / MAX: 3055.94-fPIC -shared - MIN: 2152.44 / MAX: 2412.21-fPIC -shared - MIN: 1561.02 / MAX: 3819.13-fPIC -shared - MIN: 623.79 / MAX: 1281.26-fPIC -shared - MIN: 592.03 / MAX: 1279.911. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4201.9309.3Ryzen 7 5800X3D21.6110.9128.0Ryzen 9 5950X21.8131.5144.7Ryzen 9 7950X18.6194.4214.7Ryzen 9 7950X3D12.8114.5129.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 2.15, N = 3SE +/- 0.74, N = 3SE +/- 0.94, N = 3SE +/- 1.83, N = 3SE +/- 0.54, N = 31865.09566.78960.202897.962615.51-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 317.1514.1116.655.526.11-pie -ldl - MIN: 7.97 / MAX: 47.28-fPIC -shared - MIN: 8.09 / MAX: 21.63-fPIC -shared - MIN: 8.33 / MAX: 24.97-fPIC -shared - MIN: 3.05 / MAX: 16.6-fPIC -shared - MIN: 3.2 / MAX: 13.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.5206.0303.3Ryzen 7 5800X3D18.6127.2139.4Ryzen 9 5950X18.2124.4131.6Ryzen 9 7950X18.7213.6234.8Ryzen 9 7950X3D17.2115.6123.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D30060090012001500SE +/- 1.73, N = 3SE +/- 0.33, N = 3SE +/- 0.38, N = 3SE +/- 1.33, N = 3SE +/- 0.77, N = 3562.23276.53438.321447.081335.75-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D1326395265SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 356.8714.4618.235.525.99-pie -ldl - MIN: 30.87 / MAX: 106.39-fPIC -shared - MIN: 9.58 / MAX: 23.62-fPIC -shared - MIN: 8.06 / MAX: 27.5-fPIC -shared - MIN: 2.9 / MAX: 12.84-fPIC -shared - MIN: 3.05 / MAX: 13.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4206.3316.7Ryzen 7 5800X3D18.4119.3136.1Ryzen 9 5950X23.2126.4134.2Ryzen 9 7950X18.8208.3228.1Ryzen 9 7950X3D17.0119.4128.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 1.06, N = 3SE +/- 0.68, N = 3SE +/- 1.01, N = 3SE +/- 1.27, N = 3SE +/- 4.69, N = 3955.91413.79685.281860.491708.21-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.369.6611.664.294.68-pie -ldl - MIN: 4.01 / MAX: 24.35-fPIC -shared - MIN: 6.14 / MAX: 16.95-fPIC -shared - MIN: 6.09 / MAX: 20.54-fPIC -shared - MIN: 2.68 / MAX: 13.51-fPIC -shared - MIN: 3.02 / MAX: 12.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.3205.0308.6Ryzen 7 5800X3D18.5128.5140.3Ryzen 9 5950X4.9125.6133.1Ryzen 9 7950X20.2213.3235.8Ryzen 9 7950X3D20.8117.6125.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D2004006008001000SE +/- 0.74, N = 3SE +/- 0.33, N = 3SE +/- 0.85, N = 3SE +/- 3.73, N = 3SE +/- 3.80, N = 3340.07272.75240.30774.491007.38-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D816243240SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 323.4914.6633.2510.327.94-pie -ldl - MIN: 6.4 / MAX: 48.86-fPIC -shared - MIN: 7.89 / MAX: 23.34-fPIC -shared - MIN: 11.88 / MAX: 55.77-fPIC -shared - MIN: 4.85 / MAX: 22.73-fPIC -shared - MIN: 4.31 / MAX: 18.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.5206.1267.7Ryzen 7 5800X3D21.6120.8134.7Ryzen 9 5950X24.1128.3140.3Ryzen 9 7950X19.4191.3211.1Ryzen 9 7950X3D20.9112.5122.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor70140210280350

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D400800120016002000SE +/- 4.56, N = 3SE +/- 0.73, N = 3SE +/- 3.90, N = 3SE +/- 1.71, N = 3SE +/- 1.67, N = 3689.37446.96600.771705.711663.96-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.598.9413.304.684.80-pie -ldl - MIN: 6.67 / MAX: 43.83-fPIC -shared - MIN: 6.65 / MAX: 16.68-fPIC -shared - MIN: 7.18 / MAX: 24.98-fPIC -shared - MIN: 3.47 / MAX: 15.64-fPIC -shared - MIN: 3.57 / MAX: 13.051. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4209.8307.8Ryzen 7 5800X3D20.2120.8136.9Ryzen 9 5950X24.3130.7140.1Ryzen 9 7950X18.0208.9226.3Ryzen 9 7950X3D19.3112.0121.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D306090120150SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.33, N = 3SE +/- 0.87, N = 3SE +/- 0.28, N = 361.2028.8737.38137.43134.94-pie -ldl-fPIC -shared-fPIC -shared-fPIC -shared-fPIC -shared1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.23, N = 3SE +/- 0.37, N = 3SE +/- 1.88, N = 3SE +/- 0.36, N = 3SE +/- 0.12, N = 3130.59138.39213.7858.1659.23-pie -ldl - MIN: 54.14 / MAX: 236.07-fPIC -shared - MIN: 114.75 / MAX: 150.81-fPIC -shared - MIN: 140.01 / MAX: 251.03-fPIC -shared - MIN: 31.66 / MAX: 70.64-fPIC -shared - MIN: 43.76 / MAX: 68.81. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.6205.8311.3Ryzen 7 5800X3D22.2119.7133.7Ryzen 9 5950X19.6129.0142.2Ryzen 9 7950X17.4191.3214.1Ryzen 9 7950X3D18.1109.4118.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor80160240320400

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.01006, N = 3SE +/- 0.00204, N = 3SE +/- 0.00213, N = 3SE +/- 0.00625, N = 3SE +/- 0.01003, N = 35.098791.780013.249538.043687.65282

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.01580.03160.04740.06320.0790.0250.0160.0240.0430.070

OSPRay

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.5207.6287.3Ryzen 7 5800X3D23.8111.0117.3Ryzen 9 5950X18.6135.1142.3Ryzen 9 7950X20.0186.4202.5Ryzen 9 7950X3D17.4108.7116.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D246810SE +/- 0.00437, N = 3SE +/- 0.01182, N = 3SE +/- 0.00443, N = 3SE +/- 0.01237, N = 3SE +/- 0.00497, N = 34.933631.675113.084517.858947.47869

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.01530.03060.04590.06120.07650.0240.0150.0230.0420.068

OSPRay

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.3207.9293.1Ryzen 7 5800X3D22.2110.8116.5Ryzen 9 5950X25.6134.9142.2Ryzen 9 7950X18.9186.4201.6Ryzen 9 7950X3D20.7109.4117.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.00958, N = 3SE +/- 0.00214, N = 3SE +/- 0.00263, N = 3SE +/- 0.00580, N = 3SE +/- 0.01045, N = 36.873162.696584.944929.506918.96845

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.01820.03640.05460.07280.0910.0330.0240.0370.0500.081

OSPRay

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.5207.0286.5Ryzen 7 5800X3D20.7111.4118.0Ryzen 9 5950X23.6132.5139.8Ryzen 9 7950X18.8190.2208.5Ryzen 9 7950X3D18.8111.1119.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.02158, N = 3SE +/- 0.00276, N = 3SE +/- 0.00967, N = 3SE +/- 0.03437, N = 3SE +/- 0.00289, N = 39.744083.506836.416328.042507.54859

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.01550.0310.04650.0620.07750.0460.0310.0470.0440.069

OSPRay

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.5213.9277.0Ryzen 7 5800X3D18.1113.3117.1Ryzen 9 5950X24.4136.7140.5Ryzen 9 7950X20.4183.5191.9Ryzen 9 7950X3D16.9109.2113.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3691215SE +/- 0.00250, N = 3SE +/- 0.00227, N = 3SE +/- 0.00390, N = 3SE +/- 0.00149, N = 3SE +/- 0.00443, N = 39.706273.465476.318978.063427.65233

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.0180.0360.0540.0720.090.0520.0330.0450.0500.080

OSPRay

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.5186.6278.9Ryzen 7 5800X3D20.3106.3117.2Ryzen 9 5950X22.9139.7145.7Ryzen 9 7950X20.2160.3190.3Ryzen 9 7950X3D20.895.2112.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D50100150200250SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.24, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3229.11115.16168.03248.83228.88

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D0.51141.02281.53422.04562.5571.1921.0341.2181.4102.273

OSPRay

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4192.2284.9Ryzen 7 5800X3D22.6111.4126.9Ryzen 9 5950X24.7137.9145.8Ryzen 9 7950X20.4176.4220.2Ryzen 9 7950X3D20.2100.7118.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 3.53, N = 3SE +/- 1.86, N = 3SE +/- 2.85, N = 3SE +/- 0.88, N = 3SE +/- 2.60, N = 31283286715519199921. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4199.9290.2Ryzen 7 5800X3D19.6110.3122.3Ryzen 9 5950X19.4127.5139.8Ryzen 9 7950X20.1193.3222.2Ryzen 9 7950X3D19.6103.4118.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 49.83, N = 3SE +/- 224.96, N = 3SE +/- 69.22, N = 3SE +/- 58.60, N = 3SE +/- 37.51, N = 340548968104992729485317931. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4202.4293.3Ryzen 7 5800X3D17.6108.1122.5Ryzen 9 5950X20.1130.3139.3Ryzen 9 7950X20.0197.1224.7Ryzen 9 7950X3D18.7103.8116.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 3.28, N = 3SE +/- 34.69, N = 3SE +/- 3.38, N = 3SE +/- 5.17, N = 3SE +/- 1.53, N = 35026113746190364838521. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4204.8287.9Ryzen 7 5800X3D22.8112.0122.4Ryzen 9 5950X19.1130.1139.5Ryzen 9 7950X17.5196.7223.2Ryzen 9 7950X3D18.0112.8124.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D80K160K240K320K400KSE +/- 307.43, N = 3SE +/- 534.98, N = 3SE +/- 247.07, N = 3SE +/- 235.20, N = 3SE +/- 259.60, N = 31641723692902034521205761267691. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4205.8293.2Ryzen 7 5800X3D20.1116.5122.8Ryzen 9 5950X19.2131.9139.3Ryzen 9 7950X20.3196.7221.5Ryzen 9 7950X3D20.5111.3119.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D6001200180024003000SE +/- 1.20, N = 3SE +/- 1.73, N = 3SE +/- 3.18, N = 3SE +/- 1.00, N = 3SE +/- 3.18, N = 313052888157193410011. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4199.5290.2Ryzen 7 5800X3D21.5110.1122.0Ryzen 9 5950X24.6128.3139.8Ryzen 9 7950X18.7190.5218.0Ryzen 9 7950X3D19.3104.2119.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 45.17, N = 3SE +/- 301.80, N = 3SE +/- 32.67, N = 3SE +/- 63.50, N = 3SE +/- 41.87, N = 341231976685064229841313631. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4203.2292.8Ryzen 7 5800X3D20.7108.5121.8Ryzen 9 5950X17.7130.9139.6Ryzen 9 7950X19.4196.2219.5Ryzen 9 7950X3D18.3113.0124.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D2K4K6K8K10KSE +/- 4.33, N = 3SE +/- 7.57, N = 3SE +/- 11.46, N = 3SE +/- 3.79, N = 3SE +/- 0.67, N = 35116115346281371040011. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4204.9290.8Ryzen 7 5800X3D18.2112.5121.8Ryzen 9 5950X23.9130.4139.9Ryzen 9 7950X20.6197.2219.3Ryzen 9 7950X3D18.8104.7116.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D80K160K240K320K400KSE +/- 119.23, N = 3SE +/- 512.84, N = 3SE +/- 253.11, N = 3SE +/- 37.35, N = 3SE +/- 250.15, N = 31670323738572056321222201280391. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4206.8290.8Ryzen 7 5800X3D20.8115.3121.5Ryzen 9 5950X25.5132.5139.5Ryzen 9 7950X19.6197.0223.2Ryzen 9 7950X3D19.2111.0118.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D7001400210028003500SE +/- 1.45, N = 3SE +/- 2.19, N = 3SE +/- 1.15, N = 3SE +/- 2.08, N = 3SE +/- 0.88, N = 3152533821840109811541. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.4199.7290.9Ryzen 7 5800X3D21.1109.7121.5Ryzen 9 5950X19.2128.0139.3Ryzen 9 7950X18.8192.8222.3Ryzen 9 7950X3D18.1110.1123.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D20K40K60K80K100KSE +/- 186.37, N = 3SE +/- 139.75, N = 3SE +/- 62.42, N = 3SE +/- 55.03, N = 3SE +/- 17.05, N = 3483101132316339435189377501. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.5204.7291.0Ryzen 7 5800X3D24.1109.6122.3Ryzen 9 5950X23.7120.6139.7Ryzen 9 7950X18.2193.4223.4Ryzen 9 7950X3D20.0106.0118.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D3K6K9K12K15KSE +/- 21.40, N = 3SE +/- 22.48, N = 3SE +/- 15.45, N = 3SE +/- 8.50, N = 3SE +/- 10.26, N = 35979134677334436345851. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.5205.1292.4Ryzen 7 5800X3D23.1107.4122.3Ryzen 9 5950X21.0130.3139.8Ryzen 9 7950X20.5198.0223.4Ryzen 9 7950X3D20.7112.7124.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D90K180K270K360K450KSE +/- 434.74, N = 3SE +/- 1552.60, N = 3SE +/- 317.64, N = 3SE +/- 74.18, N = 3SE +/- 1232.82, N = 31950744366782397451434991513551. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.6208.3292.1Ryzen 7 5800X3D22.5117.2122.3Ryzen 9 5950X17.9133.1139.4Ryzen 9 7950X19.3198.7219.2Ryzen 9 7950X3D18.1112.3119.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor70140210280350

RawTherapee

Total Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i9 13900KRyzen 7 5800X3DRyzen 9 5950XRyzen 9 7950XRyzen 9 7950X3D1224364860SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 333.0854.3849.1135.5035.051. RawTherapee, version 5.9, command line.

RawTherapee

CPU Power Consumption Monitor

MinAvgMaxCore i9 13900K10.3101.8151.9Ryzen 7 5800X3D20.870.389.3Ryzen 9 5950X17.7103.1120.4Ryzen 9 7950X20.592.9133.0Ryzen 9 7950X3D19.663.286.3OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor4080120160200