AMD EPYC 9755 1P - SMT On/Off Comparison

AMD EPYC 9755 with SMT on/off comparison for a future article by Michael Larabel.

HTML result view exported from: https://openbenchmarking.org/result/2410160-NE-TURINSMTO45&grs.

AMD EPYC 9755 1P - SMT On/Off ComparisonProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionSMT On - DefaultSMT OffAMD EPYC 9755 128-Core @ 2.70GHz (128 Cores / 256 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKC2 x 1920GB KIOXIA KCD8XPUG1T92ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 24.046.10.0-phx (x86_64)GCC 13.2.0ext41920x1200AMD EPYC 9755 128-Core @ 2.70GHz (128 Cores)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-backtrace --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-13-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002110Java Details- OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)Python Details- Python 3.12.2Security Details- SMT On - Default: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: 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 / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected - SMT Off: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: 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 / Automatic IBRS; IBPB: conditional; STIBP: disabled; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 9755 1P - SMT On/Off Comparisonbrl-cad: VGR Performance Metriconnx: CaffeNet 12-int8 - CPU - Parallelopenvino: Person Detection FP16 - CPUonnx: ResNet50 v1-12-int8 - CPU - Parallelopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUonnx: ArcFace ResNet-100 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: yolov4 - CPU - Parallelopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUtensorflow: CPU - 1 - GoogLeNetopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUtensorflow: CPU - 1 - ResNet-50openvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUrocksdb: Read While Writingcompress-7zip: Decompression Ratingliquid-dsp: 256 - 256 - 32srsran: PUSCH Processor Benchmark, Throughput Totalmemcached: 1:100onnx: fcn-resnet101-11 - CPU - Parallelembree: Pathtracer ISPC - Crownaircrack-ng: embree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objmt-dgemm: Sustained Floating-Point Ratejohn-the-ripper: WPA PSKospray-studio: 3 - 4K - 32 - Path Tracer - CPUm-queens: Time To Solveopenvino: Noise Suppression Poconet-Like FP16 - CPUjohn-the-ripper: Blowfishjohn-the-ripper: bcryptopenssl: ChaCha20-Poly1305openssl: ChaCha20openvino: Person Detection FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUuvg266: Bosphorus 4K - Slowcoremark: CoreMark Size 666 - Iterations Per Seconduvg266: Bosphorus 4K - Mediumbuild-linux-kernel: allmodconfigopenssl: SHA256luxcorerender: LuxCore Benchmark - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUkvazaar: Bosphorus 4K - Slowospray-studio: 1 - 4K - 1 - Path Tracer - CPUopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUkvazaar: Bosphorus 4K - Mediumopenvkl: vklBenchmarkCPU ISPClammps: Rhodopsin Proteinnamd: ATPase with 327,506 Atomsospray: gravity_spheres_volume/dim_512/pathtracer/real_timeblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyopenvino: Person Re-Identification Retail FP16 - CPUblender: Fishy Cat - CPU-Onlyblender: Junkshop - CPU-Onlyblender: Classroom - CPU-Onlyliquid-dsp: 256 - 256 - 57compress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressiony-cruncher: 1Bgraphics-magick: Enhancedpgbench: 100 - 1000 - Read Onlypgbench: 100 - 1000 - Read Only - Average Latencygraphics-magick: Noise-Gaussianblender: BMW27 - CPU-Onlytensorflow: CPU - 64 - GoogLeNetopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenfoam: drivaerFastback, Small Mesh Size - Mesh Timey-cruncher: 500Mcompress-7zip: Compression Ratingopenvino: Face Detection Retail FP16-INT8 - CPUnpb: LU.Copenvino: Vehicle Detection FP16-INT8 - CPUopenssl: RSA4096liquid-dsp: 256 - 256 - 512appleseed: Disney Materiallulesh: openvino: Machine Translation EN To DE FP16 - CPUclickhouse: 100M Rows Hits Dataset, Third Runospray: particle_volume/scivis/real_timeospray: particle_volume/ao/real_timetensorflow: CPU - 64 - ResNet-50clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runquantlib: Multi-Threadedbuild-linux-kernel: defconfigonednn: Deconvolution Batch shapes_3d - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUastcenc: Exhaustiveastcenc: Very Thoroughvvenc: Bosphorus 4K - Fasteronnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelastcenc: Thoroughnpb: MG.Copenfoam: drivaerFastback, Small Mesh Size - Execution Timesvt-av1: Preset 8 - Bosphorus 4Kvvenc: Bosphorus 4K - Fasttensorflow: CPU - 64 - AlexNettensorflow: CPU - 1 - AlexNetgraphics-magick: Swirlsvt-av1: Preset 12 - Bosphorus 4Kcloverleaf: clover_bm64_shorttensorflow: CPU - 256 - GoogLeNetcloverleaf: clover_bm16openradioss: Cell Phone Drop Testrocksdb: Rand Readbuild-mesa: Time To Compileopenssl: SHA512openvino: Road Segmentation ADAS FP16-INT8 - CPUspeedb: Rand Readopenssl: AES-256-GCMbuild-gem5: Time To Compileopenvino: Face Detection FP16-INT8 - CPUbuild-godot: Time To Compilekvazaar: Bosphorus 4K - Very Fastaskap: tConvolve MT - Griddingnamd: STMV with 1,066,628 Atomstensorflow: CPU - 256 - ResNet-50gpaw: Carbon Nanotubenpb: SP.Ctensorflow: CPU - 512 - GoogLeNetopenfoam: drivaerFastback, Medium Mesh Size - Execution Timebuild-llvm: Ninjaaskap: tConvolve MPI - Degriddingbuild-nodejs: Time To Compilepytorch: CPU - 1 - ResNet-152svt-av1: Preset 4 - Bosphorus 4Kpytorch: CPU - 512 - ResNet-50tensorflow: CPU - 512 - ResNet-50pytorch: CPU - 1 - ResNet-50tensorflow: CPU - 256 - AlexNetastcenc: Mediumlammps: 20k Atomsaskap: tConvolve MPI - Griddingpytorch: CPU - 64 - ResNet-50openradioss: Chrysler Neon 1Mnpb: IS.Damg: pytorch: CPU - 256 - ResNet-152incompact3d: X3D-benchmarking input.i3doidn: RTLightmap.hdr.4096x4096 - CPU-Onlypytorch: CPU - 512 - ResNet-152nwchem: C240 Buckyballopenssl: AES-128-GCMgromacs: MPI CPU - water_GMX50_barebuild-imagemagick: Time To Compiletensorflow: CPU - 512 - AlexNetoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyopenradioss: INIVOL and Fluid Structure Interaction Drop Containerpytorch: CPU - 64 - ResNet-152oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyhpcg: 144 144 144 - 60wrf: conus 2.5kmpytorch: CPU - 256 - ResNet-50openvino: Weld Porosity Detection FP16-INT8 - CPUstockfish: Chess Benchmarkxmrig: GhostRider - 1Monnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: yolov4 - CPU - Parallelsrsran: PDSCH Processor Benchmark, Throughput Totalsvt-av1: Preset 13 - Bosphorus 4Kluxcorerender: Orange Juice - CPUluxcorerender: DLSC - CPUpennant: sedovbigpennant: leblancbigspeedb: Read While WritingSMT On - DefaultSMT Off5899055969.28187.14223.47519.360.48329.536.6141.205224.539114.55115.623.8822.6957.577.227.1126.674.481706302184673684947333337954.213316660.103.22956179.4494133016.391223.2053191.783956.4088901361333239815.49210.733230103230008070098414271186359294450733.8010557.1639.146042366.34304743.85201.75518666039331313.967531198253.42639120.3457203791015453.95365455.79114.2449355.176229.7586.6213949.8912.5012.7124.0081519000000.9348968.17345554186720.1853139.46361.388730.884774.3321.441464.87790815931655.57385558.5311232.262755042.3285546666730.69244137645.9731109.75724.6454.395854.3927137.62698.12729.56465436.823.3440.513417190777.839.657615.719523.74344.9646110.0383167026.9320.597089118.1639.8101086.4825.93851281.58922.09659.11178.9317.8778689658013.669723597672403287.438221028281837765850747128.132193.8083.29396.8116464.14.62277203.3323.822194853.91819.05160.3737888.89370762.8109.56120.2411.27543.83246.2451.202271.95701.731567.77674093.343.6877.268647.62317708200017.42199.8445892.8517.491326.2200736535147022.7299.8682665.925.8573.6717.465.8463.67085574.36343.6118679.3630734392319873.022.23771.029984.4739224.268340.7506309.75768.719619454.1271.92432.0220.944.3936062.761260186878971901425354.04832.8491.30089.220.23158.973.2120.170712.43227.593763.062.1240.9832.584.2212.0515.772.651033799354163554825000005264.28825111.212.14216119.5087198070.058150.3383129.310138.059183939777345197.8237.74236094236198597729532223884300273620972.457974.9629.664598401.13564033.66155.00914342058920310.779711543741.6081794.263759259661293442.41288070.57517.9351443.973537.11107.3411265.5315.3615.5729.3767110666671.1320146.75037644919840.22326011.33432.497335.764044.5618.1854834.14977665827294.20443291.719772.422407045.5249703333326.94235842873.218979.20806.9948.884148.9329152.83774.87804.06422695.221.2220.471717175803.478.919214.566625.61841.6782102.2741179200.0819.215842126.60610.5031162.5027.70798299.97421.03691.93171.2217.1282035783613.130695460463903419.618541807011769373865300123.382201.0180.33093.5415967.94.75581209.1623.210199661.62839.05156.5799190.98969207.5112.00320.6711.51243.01250.8252.142234.75691.992168.69574970.243.1976.428556.57314554433317.28201.2708032.8317.591319.6199918456604322.8219.9042675.125.8373.4417.415.8363.77615583.47643.6818690.3223169900416656.323.99212.8222910.951849.590980.4394466.909131.69544608.9290.63924.4417.164.1003391.96198910067442OpenBenchmarking.org

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.38.2VGR Performance MetricSMT On - DefaultSMT Off1.3M2.6M3.9M5.2M6.5M589905519014251. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off2004006008001000SE +/- 1.72, N = 3SE +/- 1.56, N = 3969.28354.051. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUSMT On - DefaultSMT Off20406080100SE +/- 0.54, N = 15SE +/- 0.20, N = 387.1432.84MIN: 35.35 / MAX: 200.15MIN: 26.14 / MAX: 69.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off50100150200250SE +/- 1.63, N = 3SE +/- 0.18, N = 3223.4891.301. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUSMT On - DefaultSMT Off510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 319.369.22MIN: 9.99 / MAX: 44.41MIN: 7.78 / MAX: 20.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUSMT On - DefaultSMT Off0.1080.2160.3240.4320.54SE +/- 0.01, N = 3SE +/- 0.00, N = 30.480.23MIN: 0.13 / MAX: 26.24MIN: 0.13 / MAX: 19.91. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUSMT On - DefaultSMT Off70140210280350SE +/- 0.54, N = 3SE +/- 0.05, N = 3329.53158.97MIN: 165.13 / MAX: 354.63MIN: 147.03 / MAX: 169.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUSMT On - DefaultSMT Off246810SE +/- 0.01, N = 3SE +/- 0.00, N = 36.613.21MIN: 2.25 / MAX: 28.15MIN: 2.13 / MAX: 11.621. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off918273645SE +/- 0.20, N = 3SE +/- 0.26, N = 341.2120.171. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off612182430SE +/- 0.13, N = 3SE +/- 0.08, N = 324.5412.431. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off48121620SE +/- 0.02257, N = 3SE +/- 0.05138, N = 314.551107.593761. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUSMT On - DefaultSMT Off1.26452.5293.79355.0586.3225SE +/- 0.00, N = 3SE +/- 0.00, N = 35.623.06MIN: 2.01 / MAX: 29.21MIN: 1.95 / MAX: 14.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUSMT On - DefaultSMT Off0.8731.7462.6193.4924.365SE +/- 0.00, N = 3SE +/- 0.00, N = 33.882.12MIN: 1.55 / MAX: 24.23MIN: 1.56 / MAX: 9.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

TensorFlow

Device: CPU - Batch Size: 1 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: GoogLeNetSMT On - DefaultSMT Off918273645SE +/- 0.16, N = 15SE +/- 0.16, N = 722.6940.98

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUSMT On - DefaultSMT Off1326395265SE +/- 0.16, N = 3SE +/- 0.08, N = 357.5732.58MIN: 34.99 / MAX: 106.02MIN: 22.75 / MAX: 50.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUSMT On - DefaultSMT Off246810SE +/- 0.01, N = 3SE +/- 0.01, N = 37.224.22MIN: 4.48 / MAX: 26.34MIN: 3.09 / MAX: 10.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

TensorFlow

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-50SMT On - DefaultSMT Off3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 47.1112.05

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUSMT On - DefaultSMT Off612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 326.6715.77MIN: 15.22 / MAX: 47.89MIN: 14.16 / MAX: 30.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Re-Identification Retail FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUSMT On - DefaultSMT Off1.0082.0163.0244.0325.04SE +/- 0.00, N = 3SE +/- 0.00, N = 34.482.65MIN: 1.99 / MAX: 22.31MIN: 1.8 / MAX: 9.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read While WritingSMT On - DefaultSMT Off4M8M12M16M20MSE +/- 241581.30, N = 15SE +/- 37116.95, N = 317063021103379931. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingSMT On - DefaultSMT Off200K400K600K800K1000KSE +/- 276.36, N = 3SE +/- 100.03, N = 38467365416351. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32SMT On - DefaultSMT Off2000M4000M6000M8000M10000MSE +/- 14339494.80, N = 3SE +/- 4427565.17, N = 3849473333354825000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput TotalSMT On - DefaultSMT Off2K4K6K8K10KSE +/- 0.32, N = 3SE +/- 0.03, N = 37954.25264.2MIN: 5432.6 / MAX: 7954.6MIN: 3398.11. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100SMT On - DefaultSMT Off3M6M9M12M15MSE +/- 136953.60, N = 3SE +/- 110048.07, N = 413316660.108825111.211. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off0.72671.45342.18012.90683.6335SE +/- 0.04511, N = 3SE +/- 0.02146, N = 33.229562.142161. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownSMT On - DefaultSMT Off4080120160200SE +/- 0.11, N = 8SE +/- 0.04, N = 6179.45119.51MIN: 175.01 / MAX: 186.64MIN: 117.52 / MAX: 122.07

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7SMT On - DefaultSMT Off40K80K120K160K200KSE +/- 329.61, N = 3SE +/- 1876.30, N = 3133016.39198070.061. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonSMT On - DefaultSMT Off50100150200250SE +/- 0.06, N = 8SE +/- 0.05, N = 7223.21150.34MIN: 219.93 / MAX: 227.73MIN: 148.74 / MAX: 152.35

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjSMT On - DefaultSMT Off4080120160200SE +/- 0.14, N = 5SE +/- 0.06, N = 4191.78129.31MIN: 188.36 / MAX: 196.2MIN: 127.88 / MAX: 131.29

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateSMT On - DefaultSMT Off1326395265SE +/- 0.18, N = 8SE +/- 0.02, N = 756.4138.061. (CC) gcc options: -O3 -march=native -fopenmp

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKSMT On - DefaultSMT Off300K600K900K1200K1500KSE +/- 1201.85, N = 3SE +/- 341.06, N = 313613339397771. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUSMT On - DefaultSMT Off7K14K21K28K35KSE +/- 32.92, N = 3SE +/- 23.25, N = 32398134519

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveSMT On - DefaultSMT Off246810SE +/- 0.025, N = 7SE +/- 0.025, N = 65.4927.8231. (CXX) g++ options: -fopenmp -O2 -march=native

OpenVINO

Model: Noise Suppression Poconet-Like FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUSMT On - DefaultSMT Off3691215SE +/- 0.05, N = 3SE +/- 0.03, N = 310.737.74MIN: 6.4 / MAX: 32.23MIN: 5.2 / MAX: 16.541. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishSMT On - DefaultSMT Off70K140K210K280K350KSE +/- 53.35, N = 3SE +/- 92.96, N = 33230102360941. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptSMT On - DefaultSMT Off70K140K210K280K350KSE +/- 45.32, N = 3SE +/- 96.62, N = 33230002361981. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305SMT On - DefaultSMT Off200000M400000M600000M800000M1000000MSE +/- 89801965.81, N = 3SE +/- 501642086.81, N = 38070098414275977295322231. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20SMT On - DefaultSMT Off300000M600000M900000M1200000M1500000MSE +/- 507390352.95, N = 3SE +/- 277988469.18, N = 311863592944508843002736201. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUSMT On - DefaultSMT Off2004006008001000SE +/- 4.77, N = 15SE +/- 5.91, N = 3733.80972.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Noise Suppression Poconet-Like FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUSMT On - DefaultSMT Off2K4K6K8K10KSE +/- 33.49, N = 3SE +/- 33.26, N = 310557.167974.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowSMT On - DefaultSMT Off918273645SE +/- 0.09, N = 4SE +/- 0.02, N = 339.1429.66

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondSMT On - DefaultSMT Off1.3M2.6M3.9M5.2M6.5MSE +/- 10789.95, N = 3SE +/- 8927.75, N = 36042366.344598401.141. (CC) gcc options: -O2 -lrt" -lrt

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumSMT On - DefaultSMT Off1020304050SE +/- 0.04, N = 4SE +/- 0.03, N = 343.8533.66

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigSMT On - DefaultSMT Off4080120160200SE +/- 0.88, N = 3SE +/- 0.37, N = 3201.76155.01

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256SMT On - DefaultSMT Off40000M80000M120000M160000M200000MSE +/- 76407988.26, N = 3SE +/- 126118866.35, N = 31866603933131434205892031. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUSMT On - DefaultSMT Off48121620SE +/- 0.14, N = 15SE +/- 0.14, N = 313.9610.77MIN: 6.55 / MAX: 16.95MIN: 4.91 / MAX: 12.41

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUSMT On - DefaultSMT Off2004006008001000SE +/- 0.58, N = 3SE +/- 0.00, N = 3753971

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUSMT On - DefaultSMT Off3K6K9K12K15KSE +/- 14.19, N = 3SE +/- 23.35, N = 31198215437

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowSMT On - DefaultSMT Off1224364860SE +/- 0.06, N = 5SE +/- 0.04, N = 453.4241.601. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUSMT On - DefaultSMT Off2004006008001000SE +/- 0.33, N = 3SE +/- 0.33, N = 3639817

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeSMT On - DefaultSMT Off306090120150120.3594.261. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUSMT On - DefaultSMT Off6K12K18K24K30KSE +/- 39.68, N = 3SE +/- 34.28, N = 32037925966

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUSMT On - DefaultSMT Off3K6K9K12K15KSE +/- 3.71, N = 3SE +/- 4.36, N = 31015412934

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumSMT On - DefaultSMT Off1224364860SE +/- 0.01, N = 5SE +/- 0.02, N = 453.9542.411. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCSMT On - DefaultSMT Off8001600240032004000SE +/- 0.88, N = 3SE +/- 1.45, N = 336542880MIN: 293 / MAX: 42376MIN: 230 / MAX: 36075

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinSMT On - DefaultSMT Off1632486480SE +/- 0.31, N = 10SE +/- 0.15, N = 1055.7970.581. (CXX) g++ options: -O3 -lm -ldl

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsSMT On - DefaultSMT Off48121620SE +/- 0.03, N = 7SE +/- 0.01, N = 814.2417.94

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeSMT On - DefaultSMT Off1224364860SE +/- 0.01, N = 3SE +/- 0.02, N = 355.1843.97

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlySMT On - DefaultSMT Off918273645SE +/- 0.06, N = 3SE +/- 0.08, N = 329.7537.11

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlySMT On - DefaultSMT Off20406080100SE +/- 0.12, N = 3SE +/- 0.04, N = 386.62107.34

OpenVINO

Model: Person Re-Identification Retail FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUSMT On - DefaultSMT Off3K6K9K12K15KSE +/- 14.83, N = 3SE +/- 6.68, N = 313949.8911265.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlySMT On - DefaultSMT Off48121620SE +/- 0.01, N = 4SE +/- 0.07, N = 412.5015.36

Blender

Blend File: Junkshop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlySMT On - DefaultSMT Off48121620SE +/- 0.03, N = 4SE +/- 0.04, N = 412.7115.57

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlySMT On - DefaultSMT Off714212835SE +/- 0.05, N = 3SE +/- 0.06, N = 324.0029.37

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57SMT On - DefaultSMT Off2000M4000M6000M8000M10000MSE +/- 6331139.97, N = 3SE +/- 15159192.30, N = 3815190000067110666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Parallel BZIP2 Compression

FreeBSD-13.0-RELEASE-amd64-memstick.img Compression

OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.13FreeBSD-13.0-RELEASE-amd64-memstick.img CompressionSMT On - DefaultSMT Off0.25470.50940.76411.01881.2735SE +/- 0.010948, N = 15SE +/- 0.015554, N = 150.9348961.1320141. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BSMT On - DefaultSMT Off246810SE +/- 0.015, N = 5SE +/- 0.007, N = 58.1736.750

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedSMT On - DefaultSMT Off100200300400500SE +/- 0.33, N = 3SE +/- 0.67, N = 34553761. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read OnlySMT On - DefaultSMT Off1.2M2.4M3.6M4.8M6MSE +/- 39392.13, N = 3SE +/- 52234.47, N = 3541867244919841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average LatencySMT On - DefaultSMT Off0.05020.10040.15060.20080.251SE +/- 0.001, N = 3SE +/- 0.002, N = 30.1850.2231. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianSMT On - DefaultSMT Off70140210280350SE +/- 0.58, N = 3SE +/- 1.00, N = 33132601. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlySMT On - DefaultSMT Off3691215SE +/- 0.01, N = 5SE +/- 0.02, N = 49.4611.33

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: GoogLeNetSMT On - DefaultSMT Off90180270360450SE +/- 2.87, N = 3SE +/- 0.71, N = 3361.38432.49

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUSMT On - DefaultSMT Off2K4K6K8K10KSE +/- 8.58, N = 3SE +/- 19.63, N = 38730.887335.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUSMT On - DefaultSMT Off10002000300040005000SE +/- 5.09, N = 3SE +/- 9.68, N = 34774.334044.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeSMT On - DefaultSMT Off51015202521.4418.191. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

Y-Cruncher

Pi Digits To Calculate: 500M

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MSMT On - DefaultSMT Off1.09732.19463.29194.38925.4865SE +/- 0.005, N = 6SE +/- 0.004, N = 74.8774.149

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingSMT On - DefaultSMT Off200K400K600K800K1000KSE +/- 3530.77, N = 3SE +/- 379.38, N = 39081597766581. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUSMT On - DefaultSMT Off7K14K21K28K35KSE +/- 0.83, N = 3SE +/- 28.47, N = 331655.5727294.201. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CSMT On - DefaultSMT Off90K180K270K360K450KSE +/- 5529.34, N = 15SE +/- 3233.97, N = 7385558.53443291.711. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUSMT On - DefaultSMT Off2K4K6K8K10KSE +/- 2.97, N = 3SE +/- 10.17, N = 311232.269772.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096SMT On - DefaultSMT Off600K1200K1800K2400K3000KSE +/- 331.00, N = 3SE +/- 145.15, N = 32755042.32407045.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512SMT On - DefaultSMT Off600M1200M1800M2400M3000MSE +/- 3925274.23, N = 3SE +/- 2305307.88, N = 3285546666724970333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Appleseed

Scene: Disney Material

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialSMT On - DefaultSMT Off71421283530.6926.94

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3SMT On - DefaultSMT Off9K18K27K36K45KSE +/- 450.61, N = 15SE +/- 169.28, N = 337645.9742873.221. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUSMT On - DefaultSMT Off2004006008001000SE +/- 2.99, N = 3SE +/- 2.32, N = 31109.75979.201. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunSMT On - DefaultSMT Off2004006008001000SE +/- 4.70, N = 3SE +/- 4.24, N = 3724.64806.99MIN: 85.11 / MAX: 6666.67MIN: 82.19 / MAX: 7500

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeSMT On - DefaultSMT Off1224364860SE +/- 0.01, N = 3SE +/- 0.02, N = 354.4048.88

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeSMT On - DefaultSMT Off1224364860SE +/- 0.02, N = 3SE +/- 0.02, N = 354.3948.93

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50SMT On - DefaultSMT Off306090120150SE +/- 0.26, N = 3SE +/- 0.80, N = 3137.62152.83

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheSMT On - DefaultSMT Off2004006008001000SE +/- 6.12, N = 3SE +/- 3.29, N = 3698.12774.87MIN: 80.86 / MAX: 6666.67MIN: 80.97 / MAX: 6666.67

ClickHouse

100M Rows Hits Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunSMT On - DefaultSMT Off2004006008001000SE +/- 5.27, N = 3SE +/- 5.07, N = 3729.56804.06MIN: 81.63 / MAX: 7500MIN: 82.99 / MAX: 7500

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedSMT On - DefaultSMT Off100K200K300K400K500KSE +/- 401.79, N = 3SE +/- 94.33, N = 3465436.8422695.21. (CXX) g++ options: -O3 -march=native -fPIE -pie

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigSMT On - DefaultSMT Off612182430SE +/- 0.13, N = 3SE +/- 0.20, N = 623.3421.22

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUSMT On - DefaultSMT Off0.11550.2310.34650.4620.5775SE +/- 0.004859, N = 15SE +/- 0.000896, N = 90.5134170.471717MIN: 0.48MIN: 0.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUSMT On - DefaultSMT Off40K80K120K160K200KSE +/- 1255.01, N = 3SE +/- 585.07, N = 3190777.83175803.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveSMT On - DefaultSMT Off3691215SE +/- 0.0004, N = 3SE +/- 0.0052, N = 39.65768.91921. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughSMT On - DefaultSMT Off48121620SE +/- 0.00, N = 3SE +/- 0.00, N = 315.7214.571. (CXX) g++ options: -O3 -flto -pthread

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterSMT On - DefaultSMT Off612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 323.7425.621. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off1020304050SE +/- 0.06, N = 3SE +/- 0.19, N = 344.9641.681. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughSMT On - DefaultSMT Off20406080100SE +/- 0.02, N = 6SE +/- 0.01, N = 6110.04102.271. (CXX) g++ options: -O3 -flto -pthread

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CSMT On - DefaultSMT Off40K80K120K160K200KSE +/- 1302.88, N = 15SE +/- 90.58, N = 9167026.93179200.081. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeSMT On - DefaultSMT Off51015202520.6019.221. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KSMT On - DefaultSMT Off306090120150SE +/- 1.10, N = 7SE +/- 0.24, N = 7118.16126.611. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastSMT On - DefaultSMT Off3691215SE +/- 0.028, N = 3SE +/- 0.065, N = 39.81010.5031. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: AlexNetSMT On - DefaultSMT Off30060090012001500SE +/- 3.83, N = 6SE +/- 8.98, N = 61086.481162.50

TensorFlow

Device: CPU - Batch Size: 1 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: AlexNetSMT On - DefaultSMT Off714212835SE +/- 0.16, N = 7SE +/- 0.10, N = 725.9327.70

GraphicsMagick

Operation: Swirl

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SwirlSMT On - DefaultSMT Off2004006008001000SE +/- 0.33, N = 3SE +/- 0.33, N = 38517981. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KSMT On - DefaultSMT Off70140210280350SE +/- 2.17, N = 9SE +/- 0.48, N = 9281.59299.971. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortSMT On - DefaultSMT Off510152025SE +/- 0.07, N = 3SE +/- 0.03, N = 322.0921.031. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetSMT On - DefaultSMT Off150300450600750SE +/- 7.40, N = 3SE +/- 2.03, N = 3659.11691.93

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16SMT On - DefaultSMT Off4080120160200SE +/- 0.24, N = 3SE +/- 0.10, N = 3178.93171.221. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OpenRadioss

Model: Cell Phone Drop Test

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestSMT On - DefaultSMT Off48121620SE +/- 0.16, N = 3SE +/- 0.20, N = 317.8717.12

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadSMT On - DefaultSMT Off200M400M600M800M1000MSE +/- 5260460.78, N = 3SE +/- 9096243.38, N = 57868965808203578361. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileSMT On - DefaultSMT Off48121620SE +/- 0.07, N = 4SE +/- 0.02, N = 413.6713.13

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512SMT On - DefaultSMT Off15000M30000M45000M60000M75000MSE +/- 163780192.60, N = 3SE +/- 155480309.48, N = 372359767240695460463901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUSMT On - DefaultSMT Off7001400210028003500SE +/- 2.87, N = 3SE +/- 7.32, N = 33287.433419.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadSMT On - DefaultSMT Off200M400M600M800M1000MSE +/- 707549.54, N = 3SE +/- 36730.51, N = 38221028288541807011. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMSMT On - DefaultSMT Off400000M800000M1200000M1600000M2000000MSE +/- 2482404044.78, N = 3SE +/- 1218174976.10, N = 3183776585074717693738653001. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileSMT On - DefaultSMT Off306090120150SE +/- 1.52, N = 3SE +/- 1.07, N = 3128.13123.38

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUSMT On - DefaultSMT Off4080120160200SE +/- 0.32, N = 3SE +/- 0.09, N = 3193.80201.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileSMT On - DefaultSMT Off20406080100SE +/- 0.10, N = 3SE +/- 0.06, N = 383.2980.33

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastSMT On - DefaultSMT Off20406080100SE +/- 0.49, N = 7SE +/- 0.02, N = 696.8193.541. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

ASKAP

Test: tConvolve MT - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingSMT On - DefaultSMT Off4K8K12K16K20KSE +/- 0.00, N = 3SE +/- 13.89, N = 316464.115967.91. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsSMT On - DefaultSMT Off1.07012.14023.21034.28045.3505SE +/- 0.00697, N = 3SE +/- 0.00841, N = 44.622774.75581

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50SMT On - DefaultSMT Off50100150200250SE +/- 0.65, N = 3SE +/- 0.40, N = 3203.33209.16

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeSMT On - DefaultSMT Off612182430SE +/- 0.10, N = 3SE +/- 0.08, N = 323.8223.211. (CC) gcc options: -shared -lxc -lblas -lmpi

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CSMT On - DefaultSMT Off40K80K120K160K200KSE +/- 878.07, N = 5SE +/- 247.78, N = 5194853.91199661.621. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

TensorFlow

Device: CPU - Batch Size: 512 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: GoogLeNetSMT On - DefaultSMT Off2004006008001000SE +/- 3.19, N = 3SE +/- 1.83, N = 3819.05839.05

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeSMT On - DefaultSMT Off4080120160200160.37156.581. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaSMT On - DefaultSMT Off20406080100SE +/- 0.32, N = 3SE +/- 0.05, N = 388.8990.99

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingSMT On - DefaultSMT Off15K30K45K60K75KSE +/- 395.30, N = 3SE +/- 382.37, N = 370762.869207.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 21.7.2Time To CompileSMT On - DefaultSMT Off306090120150SE +/- 0.21, N = 3SE +/- 0.10, N = 3109.56112.00

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-152SMT On - DefaultSMT Off510152025SE +/- 0.07, N = 3SE +/- 0.17, N = 320.2420.67MIN: 19.69 / MAX: 20.76MIN: 17.64 / MAX: 21.34

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KSMT On - DefaultSMT Off3691215SE +/- 0.04, N = 4SE +/- 0.01, N = 411.2811.511. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50SMT On - DefaultSMT Off1020304050SE +/- 0.13, N = 3SE +/- 0.12, N = 343.8343.01MIN: 41.6 / MAX: 45.11MIN: 40.3 / MAX: 44.35

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50SMT On - DefaultSMT Off50100150200250SE +/- 0.52, N = 3SE +/- 0.10, N = 3246.24250.82

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-50SMT On - DefaultSMT Off1224364860SE +/- 0.42, N = 3SE +/- 0.39, N = 351.2052.14MIN: 48.71 / MAX: 53.18MIN: 47.46 / MAX: 54.1

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetSMT On - DefaultSMT Off5001000150020002500SE +/- 2.78, N = 4SE +/- 10.16, N = 42271.952234.75

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumSMT On - DefaultSMT Off150300450600750SE +/- 3.94, N = 8SE +/- 2.71, N = 8701.73691.991. (CXX) g++ options: -O3 -flto -pthread

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsSMT On - DefaultSMT Off1530456075SE +/- 0.06, N = 3SE +/- 0.72, N = 367.7868.701. (CXX) g++ options: -O3 -lm -ldl

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingSMT On - DefaultSMT Off16K32K48K64K80KSE +/- 438.43, N = 3SE +/- 0.00, N = 374093.374970.21. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-50SMT On - DefaultSMT Off1020304050SE +/- 0.27, N = 3SE +/- 0.06, N = 343.6843.19MIN: 41.7 / MAX: 44.98MIN: 39.77 / MAX: 44.9

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MSMT On - DefaultSMT Off20406080100SE +/- 0.11, N = 3SE +/- 0.05, N = 377.2676.42

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DSMT On - DefaultSMT Off2K4K6K8K10KSE +/- 55.66, N = 6SE +/- 21.61, N = 68647.628556.571. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2SMT On - DefaultSMT Off700M1400M2100M2800M3500MSE +/- 6342005.91, N = 3SE +/- 4101761.26, N = 3317708200031455443331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152SMT On - DefaultSMT Off48121620SE +/- 0.19, N = 4SE +/- 0.09, N = 317.4217.28MIN: 16.53 / MAX: 18.16MIN: 15.38 / MAX: 17.87

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dSMT On - DefaultSMT Off4080120160200SE +/- 0.78, N = 3SE +/- 0.21, N = 3199.84201.271. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlySMT On - DefaultSMT Off0.64131.28261.92392.56523.2065SE +/- 0.00, N = 5SE +/- 0.00, N = 52.852.83

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-152SMT On - DefaultSMT Off48121620SE +/- 0.05, N = 3SE +/- 0.15, N = 317.4917.59MIN: 16.94 / MAX: 18.01MIN: 3.09 / MAX: 18.18

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballSMT On - DefaultSMT Off300600900120015001326.21319.61. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMSMT On - DefaultSMT Off400000M800000M1200000M1600000M2000000MSE +/- 679943093.73, N = 3SE +/- 3907203464.57, N = 3200736535147019991845660431. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareSMT On - DefaultSMT Off510152025SE +/- 0.04, N = 3SE +/- 0.05, N = 322.7322.821. (CXX) g++ options: -O3 -lm

Timed ImageMagick Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileSMT On - DefaultSMT Off3691215SE +/- 0.013, N = 5SE +/- 0.078, N = 59.8689.904

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetSMT On - DefaultSMT Off6001200180024003000SE +/- 2.64, N = 3SE +/- 3.14, N = 32665.922675.12

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlySMT On - DefaultSMT Off1.31632.63263.94895.26526.5815SE +/- 0.00, N = 7SE +/- 0.01, N = 75.855.83

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerSMT On - DefaultSMT Off1632486480SE +/- 0.07, N = 3SE +/- 0.14, N = 373.6773.44

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-152SMT On - DefaultSMT Off48121620SE +/- 0.12, N = 3SE +/- 0.09, N = 317.4617.41MIN: 16.79 / MAX: 17.99MIN: 15.31 / MAX: 17.97

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlySMT On - DefaultSMT Off1.3142.6283.9425.2566.57SE +/- 0.01, N = 7SE +/- 0.01, N = 75.845.83

High Performance Conjugate Gradient

X Y Z: 144 144 144 - RT: 60

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 60SMT On - DefaultSMT Off1428425670SE +/- 0.01, N = 3SE +/- 0.02, N = 363.6763.781. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

WRF

Input: conus 2.5km

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmSMT On - DefaultSMT Off120024003600480060005574.365583.481. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50SMT On - DefaultSMT Off1020304050SE +/- 0.29, N = 3SE +/- 0.29, N = 343.6143.68MIN: 41.9 / MAX: 45.08MIN: 40.37 / MAX: 44.97

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUSMT On - DefaultSMT Off4K8K12K16K20KSE +/- 13.14, N = 3SE +/- 14.17, N = 318679.3618690.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0305.1331.0SMT Off44.5291.4322.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.17CPU Power Consumption Monitor80160240320400

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.1353.6377.0SMT Off44.4314.1340.6OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.17CPU Power Consumption Monitor100200300400500

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8345.8372.3SMT Off44.6314.7341.5OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.17CPU Power Consumption Monitor100200300400500

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.2370.7396.5SMT Off44.5333.6363.0OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.17CPU Power Consumption Monitor110220330440550

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8374.7402.7SMT Off44.4334.3363.9OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.17CPU Power Consumption Monitor110220330440550

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7342.4367.7SMT Off44.3326.8358.6OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.17CPU Power Consumption Monitor100200300400500

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.2367.6394.2SMT Off44.4332.3360.5OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.17CPU Power Consumption Monitor110220330440550

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringSMT On - DefaultSMT Off90180270360450Min: 44.19 / Avg: 324.1 / Max: 500.98Min: 22.2 / Avg: 326.39 / Max: 505.98

Aircrack-ng

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6326.7379.8SMT Off44.4372.8437.8OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.7CPU Power Consumption Monitor110220330440550

Aircrack-ng

OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.7SMT On - DefaultSMT Off110220330440550407.19531.27

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.1243.3425.0SMT Off44.8222.4409.2OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor110220330440550

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9202.1376.5SMT Off44.5186.3369.5OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor100200300400500

Stockfish

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8440.6487.2SMT Off44.5428.0472.1OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1CPU Power Consumption Monitor130260390520650

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkSMT On - DefaultSMT Off150K300K450K600K750K697627.07541348.84

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkSMT On - DefaultSMT Off70M140M210M280M350MSE +/- 4338134.07, N = 15SE +/- 4076501.74, N = 153073439232316990041. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver

Xmrig

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9425.0482.5SMT Off44.5367.1404.5OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor120240360480600

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MSMT On - DefaultSMT Off112233445546.7745.37

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MSMT On - DefaultSMT Off4K8K12K16K20KSE +/- 912.79, N = 15SE +/- 6.58, N = 319873.016656.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

ONNX Runtime

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

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off612182430SE +/- 0.03, N = 3SE +/- 0.11, N = 322.2423.991. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off0.6351.271.9052.543.175SE +/- 0.00186, N = 3SE +/- 0.01243, N = 31.029982.822291. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off3691215SE +/- 0.03295, N = 3SE +/- 0.02184, N = 34.4739210.951801. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off1122334455SE +/- 0.12, N = 3SE +/- 0.62, N = 324.2749.591. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off20406080100SE +/- 0.21, N = 3SE +/- 0.50, N = 340.7580.441. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off100200300400500SE +/- 4.35, N = 3SE +/- 4.66, N = 3309.76466.911. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: ParallelSMT On - DefaultSMT Off306090120150SE +/- 0.11, N = 3SE +/- 0.89, N = 368.72131.701. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

oneDNN

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9156.5315.2SMT Off44.4157.4316.9OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.4CPU Power Consumption Monitor80160240320400

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9397.2438.8SMT Off44.8330.7367.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.1412.9447.7SMT Off45.2369.6402.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8372.2403.5SMT Off44.6367.2402.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8434.0466.7SMT Off44.4396.4440.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.1382.7411.5SMT Off44.5351.5382.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8437.1487.9SMT Off44.8399.7448.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor130260390520650

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.2355.7388.8SMT Off44.4312.3342.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8395.5423.5SMT Off44.7343.1373.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8363.2388.4SMT Off44.7345.7374.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8386.6442.8SMT Off44.4414.2458.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0337.4363.6SMT Off44.9325.1358.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor100200300400500

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.1364.9401.2SMT Off44.4352.0388.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0302.2325.1SMT Off44.6297.7322.4OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-152SMT On - DefaultSMT Off0.01330.02660.03990.05320.06650.0580.059

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0281.8321.0SMT Off44.4276.3317.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50SMT On - DefaultSMT Off0.03510.07020.10530.14040.17550.1560.156

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8301.1326.0SMT Off44.5297.5321.9OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152SMT On - DefaultSMT Off0.01310.02620.03930.05240.06550.0580.058

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.1281.3320.6SMT Off44.4276.1318.4OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50SMT On - DefaultSMT Off0.03560.07120.10680.14240.1780.1550.158

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8301.3324.8SMT Off44.6298.3323.0OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-152SMT On - DefaultSMT Off0.01310.02620.03930.05240.06550.0580.058

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6279.7319.7SMT Off44.5276.2317.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-50SMT On - DefaultSMT Off0.03510.07020.10530.14040.17550.1560.156

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8279.6308.3SMT Off44.6274.7306.6OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-152SMT On - DefaultSMT Off0.01690.03380.05070.06760.08450.0720.075

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0244.9304.0SMT Off44.5242.1302.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-50SMT On - DefaultSMT Off0.04840.09680.14520.19360.2420.2090.215

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8325.5361.1SMT Off44.5319.6355.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

TensorFlow

Device: CPU - Batch Size: 512 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: GoogLeNetSMT On - DefaultSMT Off0.59061.18121.77182.36242.9532.5162.625

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7277.8340.8SMT Off44.5261.5328.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetSMT On - DefaultSMT Off36912159.59710.229

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.1337.2361.7SMT Off44.4339.7363.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50SMT On - DefaultSMT Off0.16610.33220.49830.66440.83050.7300.738

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0293.8338.6SMT Off44.5287.1332.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetSMT On - DefaultSMT Off0.54231.08461.62692.16922.71152.2432.410

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8237.7322.8SMT Off44.9226.6308.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetSMT On - DefaultSMT Off36912159.5589.860

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8308.7332.3SMT Off44.3309.7333.2OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50SMT On - DefaultSMT Off0.15190.30380.45570.60760.75950.6590.675

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9265.5336.6SMT Off44.6242.5320.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: GoogLeNetSMT On - DefaultSMT Off0.40140.80281.20421.60562.0071.3611.784

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8169.0264.5SMT Off44.6171.6273.2OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor70140210280350

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: AlexNetSMT On - DefaultSMT Off2468106.4306.774

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8282.4318.6SMT Off44.5279.5321.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50SMT On - DefaultSMT Off0.12310.24620.36930.49240.61550.4870.547

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7161.1285.5SMT Off44.2130.7283.8OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor70140210280350

TensorFlow

Device: CPU - Batch Size: 1 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: GoogLeNetSMT On - DefaultSMT Off0.07070.14140.21210.28280.35350.1410.314

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7168.5306.4SMT Off44.5161.4303.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 1 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: AlexNetSMT On - DefaultSMT Off0.03870.07740.11610.15480.19350.1540.172

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6202.2266.1SMT Off44.1179.0267.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor70140210280350

TensorFlow

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-50SMT On - DefaultSMT Off0.01510.03020.04530.06040.07550.0350.067

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5371.7421.8SMT Off44.3270.1456.6OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325CPU Power Consumption Monitor120240360480600

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalSMT On - DefaultSMT Off408012016020052.33165.14

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalSMT On - DefaultSMT Off10K20K30K40K50KSE +/- 214.06, N = 3SE +/- 1047.04, N = 1519454.144608.91. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8306.1405.8SMT Off44.5270.3353.9OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325CPU Power Consumption Monitor110220330440550

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput TotalSMT On - DefaultSMT Off61218243025.9919.47

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.4394.5450.7SMT Off44.6420.9484.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor120240360480600

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512SMT On - DefaultSMT Off1.6M3.2M4.8M6.4M8M7237709.105933020.84

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8413.6472.3SMT Off44.6427.5498.3OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor130260390520650

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57SMT On - DefaultSMT Off4M8M12M16M20M19710155.4415697848.98

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.2422.3487.6SMT Off44.6427.6491.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor130260390520650

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32SMT On - DefaultSMT Off4M8M12M16M20M20115931.6312821155.69

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7298.6325.9SMT Off44.7315.2341.7OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor80160240320400

GraphicsMagick

Operation: Swirl

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SwirlSMT On - DefaultSMT Off0.64131.28261.92392.56523.20652.8502.531

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7323.9350.4SMT Off44.4376.7408.7OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor110220330440550

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedSMT On - DefaultSMT Off0.31610.63220.94831.26441.58051.4050.998

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7208.0234.1SMT Off44.4221.2253.7OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor70140210280350

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianSMT On - DefaultSMT Off0.33860.67721.01581.35441.6931.5051.171

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7318.6450.4SMT Off44.4320.9449.8OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor120240360480600

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveSMT On - DefaultSMT Off0.00680.01360.02040.02720.0340.0300.028

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5317.5448.4SMT Off44.3319.5454.3OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor120240360480600

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughSMT On - DefaultSMT Off0.01130.02260.03390.04520.05650.0500.046

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5203.3437.2SMT Off44.2207.4436.7OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor110220330440550

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughSMT On - DefaultSMT Off0.12170.24340.36510.48680.60850.5410.493

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4133.5427.6SMT Off44.2131.9430.5OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor110220330440550

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: MediumSMT On - DefaultSMT Off1.18282.36563.54844.73125.9145.2575.246

VVenC

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6239.4329.0SMT Off44.6248.9340.3OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.11CPU Power Consumption Monitor80160240320400

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterSMT On - DefaultSMT Off0.02320.04640.06960.09280.1160.0990.103

VVenC

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5212.7338.9SMT Off44.3217.3348.4OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.11CPU Power Consumption Monitor100200300400500

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastSMT On - DefaultSMT Off0.01080.02160.03240.04320.0540.0460.048

uvg266

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6313.9407.2SMT Off44.6294.7372.8OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor110220330440550

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumSMT On - DefaultSMT Off0.03150.0630.09450.1260.15750.1400.114

uvg266

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.3318.4408.0SMT Off44.5296.9372.9OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor110220330440550

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowSMT On - DefaultSMT Off0.02770.05540.08310.11080.13850.1230.100

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7226.3360.3SMT Off44.7227.7358.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor100200300400500

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastSMT On - DefaultSMT Off0.09630.19260.28890.38520.48150.4280.411

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6273.6378.0SMT Off44.7260.4340.9OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor100200300400500

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumSMT On - DefaultSMT Off0.04430.08860.13290.17720.22150.1970.163

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7273.8377.9SMT Off44.7256.9340.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor100200300400500

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowSMT On - DefaultSMT Off0.04390.08780.13170.17560.21950.1950.162

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4164.5329.5SMT Off44.4163.7323.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor80160240320400

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KSMT On - DefaultSMT Off0.01580.03160.04740.06320.0790.0690.070

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5151.9282.0SMT Off44.3150.1286.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor70140210280350

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KSMT On - DefaultSMT Off0.18990.37980.56970.75960.94950.7780.844

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5116.3294.8SMT Off22.7115.5298.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor70140210280350

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KSMT On - DefaultSMT Off0.58461.16921.75382.33842.9232.4212.598

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4115.6288.1SMT Off44.4116.4304.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor80160240320400

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KSMT On - DefaultSMT Off0.56211.12421.68632.24842.81052.3532.498

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KSMT On - DefaultSMT Off60120180240300SE +/- 7.58, N = 15SE +/- 8.78, N = 15271.92290.641. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Parallel BZIP2 Compression

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.597.5319.0SMT Off44.5101.0330.5OpenBenchmarking.orgWatts, Fewer Is BetterParallel BZIP2 Compression 1.1.13CPU Power Consumption Monitor80160240320400

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7373.2482.8SMT Off45.0356.0473.9OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor120240360480600

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingSMT On - DefaultSMT Off50010001500200025002269.161521.54

OpenVKL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 2.0.0CPU Power Consumption MonitorSMT On - DefaultSMT Off90180270360450Min: 44.92 / Avg: 399.08 / Max: 477.59Min: 44.85 / Avg: 391.57 / Max: 483.84

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCSMT On - DefaultSMT Off36912159.1567.355

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8299.1406.1SMT Off44.8298.3408.0OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor110220330440550

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlySMT On - DefaultSMT Off0.00230.00460.00690.00920.01150.0100.009

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6237.3409.6SMT Off44.8240.1410.1OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor110220330440550

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlySMT On - DefaultSMT Off0.00560.01120.01680.02240.0280.0250.024

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6239.9408.8SMT Off44.6235.6409.3OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor110220330440550

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlySMT On - DefaultSMT Off0.00560.01120.01680.02240.0280.0240.025

Embree

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5256.2473.6SMT Off44.5299.9485.8OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor130260390520650

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownSMT On - DefaultSMT Off0.15750.3150.47250.630.78750.7000.398

Embree

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6176.7465.2SMT Off45.0212.2472.4OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor120240360480600

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjSMT On - DefaultSMT Off0.24410.48820.73230.97641.22051.0850.609

Embree

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7231.4467.8SMT Off44.7274.9474.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor120240360480600

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonSMT On - DefaultSMT Off0.21710.43420.65130.86841.08550.9650.547

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7395.1468.2SMT Off45.0344.5478.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor120240360480600

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7371.8469.9SMT Off44.6377.9479.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor120240360480600

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8373.6459.9SMT Off45.0382.4474.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor120240360480600

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9385.4463.9SMT Off44.6410.5476.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor120240360480600

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7358.2462.2SMT Off44.7384.5476.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor120240360480600

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8371.8463.5SMT Off45.1382.2476.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor120240360480600

OSPRay

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8376.8448.6SMT Off45.1370.6453.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor120240360480600

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeSMT On - DefaultSMT Off0.03240.06480.09720.12960.1620.1440.132

OSPRay

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0429.8449.3SMT Off44.8431.3453.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor120240360480600

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeSMT On - DefaultSMT Off0.02860.05720.08580.11440.1430.1270.113

OSPRay

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7425.8477.0SMT Off44.7422.2472.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor120240360480600

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeSMT On - DefaultSMT Off0.02930.05860.08790.11720.14650.1300.104

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0431.6490.9SMT Off45.0424.4477.8OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor130260390520650

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUSMT On - DefaultSMT Off0.01670.03340.05010.06680.08350.0740.058

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUSMT On - DefaultSMT Off714212835SE +/- 0.52, N = 15SE +/- 0.24, N = 1532.0224.44MIN: 26.48 / MAX: 43.04MIN: 21.11 / MAX: 32.81

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9369.8444.6SMT Off44.8402.9455.4OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor120240360480600

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUSMT On - DefaultSMT Off0.00860.01720.02580.03440.0430.0380.027

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6438.9482.6SMT Off45.1433.4473.4OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor120240360480600

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUSMT On - DefaultSMT Off0.01080.02160.03240.04320.0540.0480.040

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUSMT On - DefaultSMT Off510152025SE +/- 0.33, N = 15SE +/- 0.21, N = 1520.9417.16MIN: 19.5 / MAX: 27MIN: 15.64 / MAX: 21.09

Appleseed

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.4336.9380.2SMT Off45.1342.4382.1OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor100200300400500

Blender

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0350.7492.1SMT Off45.0371.0493.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor130260390520650

Blender

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.1446.0487.0SMT Off44.6461.1495.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor130260390520650

Blender

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7395.0458.0SMT Off44.6426.7491.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor130260390520650

Blender

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9338.6471.9SMT Off45.0371.3493.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor130260390520650

Blender

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8395.6467.1SMT Off44.8432.2496.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor130260390520650

Blender

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7317.6461.2SMT Off44.6348.5493.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor130260390520650

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9364.1489.3SMT Off44.7364.4489.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor130260390520650

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9423.7488.8SMT Off44.7424.6489.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor130260390520650

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9295.0469.0SMT Off44.7289.4467.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor120240360480600

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6450.2489.9SMT Off44.6455.7493.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor130260390520650

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4396.4492.6SMT Off44.9391.4496.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor130260390520650

BRL-CAD

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.38.2CPU Power Consumption MonitorSMT On - DefaultSMT Off90180270360450Min: 44.58 / Avg: 115.96 / Max: 244.32Min: 44.67 / Avg: 418.65 / Max: 497.02

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.38.2VGR Performance MetricSMT On - DefaultSMT Off11K22K33K44K55K50873.194541.76

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9401.7443.9SMT Off44.5400.3425.4OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor120240360480600

NWChem

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorSMT On - DefaultSMT Off90180270360450Min: 44.44 / Avg: 477.37 / Max: 499.23Min: 44.59 / Avg: 478.93 / Max: 504.52

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4139.5414.0SMT Off44.7156.0433.5OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CSMT On - DefaultSMT Off300600900120015001197.561148.78

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5216.0421.2SMT Off44.5221.5423.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DSMT On - DefaultSMT Off91827364540.0438.63

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8302.4488.2SMT Off44.9294.7465.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CSMT On - DefaultSMT Off150300450600750644.42677.42

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8277.0487.2SMT Off44.7259.4475.5OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CSMT On - DefaultSMT Off4008001200160020001391.901708.91

Pennant

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5248.9471.5SMT Off44.5247.5476.3OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor120240360480600

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigSMT On - DefaultSMT Off0.98861.97722.96583.95444.943SE +/- 0.073388, N = 15SE +/- 0.033508, N = 94.3936064.1003391. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6210.5475.6SMT Off44.7190.2471.9OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor120240360480600

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigSMT On - DefaultSMT Off0.62131.24261.86392.48523.1065SE +/- 0.045208, N = 15SE +/- 0.039628, N = 152.7612601.9619891. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

High Performance Conjugate Gradient

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6406.0468.4SMT Off44.8408.3463.1OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor120240360480600

High Performance Conjugate Gradient

X Y Z: 144 144 144 - RT: 60

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 60SMT On - DefaultSMT Off0.03530.07060.10590.14120.17650.1570.156

GPAW

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6396.6491.5SMT Off44.8399.0492.6OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor130260390520650

QuantLib

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4406.0483.0SMT Off45.0383.4482.0OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor120240360480600

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedSMT On - DefaultSMT Off20040060080010001146.371102.52

CloverLeaf

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0388.4407.2SMT Off44.9381.3399.5OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor110220330440550

CloverLeaf

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6333.7398.9SMT Off44.6325.4394.2OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor110220330440550

GROMACS

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6349.2487.2SMT Off44.8341.9488.5OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2024CPU Power Consumption Monitor130260390520650

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareSMT On - DefaultSMT Off0.01490.02980.04470.05960.07450.0650.066

NAMD

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5284.4425.6SMT Off44.4299.3477.8OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor120240360480600

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsSMT On - DefaultSMT Off0.00360.00720.01080.01440.0180.0160.016

NAMD

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8214.8414.4SMT Off44.6214.4478.1OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor120240360480600

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsSMT On - DefaultSMT Off0.01890.03780.05670.07560.09450.0660.084

ASKAP

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0357.0474.4SMT Off44.6353.6487.5OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor130260390520650

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingSMT On - DefaultSMT Off50100150200250207.54212.04

m-queens

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7265.1441.7SMT Off44.9307.7461.7OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor120240360480600

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.3461.9488.1SMT Off44.5470.2495.6OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor130260390520650

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsSMT On - DefaultSMT Off0.03310.06620.09930.13240.16550.1470.146

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5125.0352.9SMT Off44.6134.5464.0OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor120240360480600

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinSMT On - DefaultSMT Off0.11810.23620.35430.47240.59050.4460.525

LULESH

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5291.3459.2SMT Off44.5284.2449.0OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor120240360480600

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3SMT On - DefaultSMT Off306090120150129.24150.87

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6229.3419.5SMT Off44.6268.6428.0OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor110220330440550

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateSMT On - DefaultSMT Off0.05540.11080.16620.22160.2770.2460.142

WRF

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorSMT On - DefaultSMT Off90180270360450Min: 44.4 / Avg: 440.28 / Max: 480.05Min: 44.48 / Avg: 440.76 / Max: 479.79

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4334.4438.6SMT Off44.3323.8428.4OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor120240360480600

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2SMT On - DefaultSMT Off2M4M6M8M10M9501967.559715238.28

Coremark

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7414.3479.8SMT Off44.3422.2478.4OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor120240360480600

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondSMT On - DefaultSMT Off3K6K9K12K15K14585.7410891.66

Speedb

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6398.2497.6SMT Off44.5373.9440.0OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor130260390520650

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingSMT On - DefaultSMT Off10K20K30K40K50K46936.4426924.54

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingSMT On - DefaultSMT Off4M8M12M16M20MSE +/- 433421.14, N = 12SE +/- 205985.46, N = 1518687897100674421. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.3417.3445.7SMT Off44.8418.5451.7OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor120240360480600

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadSMT On - DefaultSMT Off400K800K1200K1600K2000K1969975.352040959.05

RocksDB

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8434.6500.1SMT Off44.8425.0468.0OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor130260390520650

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Read While WritingSMT On - DefaultSMT Off8K16K24K32K40K39264.1124323.01

RocksDB

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5415.4446.2SMT Off44.9419.0450.9OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor120240360480600

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random ReadSMT On - DefaultSMT Off400K800K1200K1600K2000K1894471.541958108.13

Memcached

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5352.4409.0SMT Off44.5297.5348.5OpenBenchmarking.orgWatts, Fewer Is BetterMemcached 1.6.19CPU Power Consumption Monitor110220330440550

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100SMT On - DefaultSMT Off8K16K24K32K40K37790.6229665.30

PostgreSQL

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6394.9457.8SMT Off44.4360.6416.6OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL 16CPU Power Consumption Monitor120240360480600

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4163.5407.0SMT Off44.4162.2412.8OpenBenchmarking.orgWatts, Fewer Is BetterClickHouse 22.12.3.5CPU Power Consumption Monitor110220330440550

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunSMT On - DefaultSMT Off1.11942.23883.35824.47765.5974.4314.975

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9400.8455.8SMT Off22.9440.8504.4OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor130260390520650

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKSMT On - DefaultSMT Off70014002100280035003396.832132.19

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptSMT On - DefaultSMT Off2004006008001000782.32541.58

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.6415.1468.2EPYC 975544.7412.9469.2SMT Off44.4440.0499.5OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor130260390520650

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishSMT On - DefaultSMT Off2004006008001000778.22536.62

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7462.2499.0SMT Off44.5471.9506.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor130260390520650

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305SMT On - DefaultSMT Off400M800M1200M1600M2000M1746071268.121266724084.66

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0468.4501.0SMT Off44.4458.1504.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor130260390520650

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20SMT On - DefaultSMT Off500M1000M1500M2000M2500M2532659749.391930320322.62

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7423.5443.3SMT Off44.4448.3479.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMSMT On - DefaultSMT Off900M1800M2700M3600M4500M4339501704.863946701676.57

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.7427.2447.2SMT Off44.6449.3475.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMSMT On - DefaultSMT Off1000M2000M3000M4000M5000M4699217928.954449627450.39

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default45.0447.3471.8SMT Off44.3478.8504.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor130260390520650

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA512SMT On - DefaultSMT Off30M60M90M120M150M161764658.87145258130.79

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.8464.5492.1SMT Off44.3448.6489.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor130260390520650

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA256SMT On - DefaultSMT Off90M180M270M360M450M401864487.87319679118.20

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.9438.2478.0SMT Off44.1434.0469.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: RSA4096SMT On - DefaultSMT Off130026003900520065006287.445541.82

Timed ImageMagick Compilation

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5132.6448.6SMT Off44.1132.3459.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed ImageMagick Compilation 6.9.0CPU Power Consumption Monitor120240360480600

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4145.0477.1SMT Off44.2142.8478.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 24.0CPU Power Consumption Monitor120240360480600

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4300.1488.2SMT Off22.2312.1478.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor130260390520650

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4195.4485.4SMT Off44.2200.0475.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor130260390520650

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5304.2485.2SMT Off44.1306.8475.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 21.7.2CPU Power Consumption Monitor120240360480600

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.5220.4490.6SMT Off44.3227.1481.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption Monitor130260390520650

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.4383.8473.4SMT Off44.1386.0483.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor120240360480600

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxSMT On - Default44.2204.9467.5SMT Off44.1201.5475.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor120240360480600


Phoronix Test Suite v10.8.5