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&sro.

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 OffSMT On - Default1.3M2.6M3.9M5.2M6.5M190142558990551. (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 OffSMT On - Default2004006008001000SE +/- 1.56, N = 3SE +/- 1.72, N = 3354.05969.281. (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 OffSMT On - Default20406080100SE +/- 0.20, N = 3SE +/- 0.54, N = 1532.8487.14MIN: 26.14 / MAX: 69.48MIN: 35.35 / MAX: 200.151. (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 OffSMT On - Default50100150200250SE +/- 0.18, N = 3SE +/- 1.63, N = 391.30223.481. (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 OffSMT On - Default510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 39.2219.36MIN: 7.78 / MAX: 20.73MIN: 9.99 / MAX: 44.411. (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 OffSMT On - Default0.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.01, N = 30.230.48MIN: 0.13 / MAX: 19.9MIN: 0.13 / MAX: 26.241. (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 OffSMT On - Default70140210280350SE +/- 0.05, N = 3SE +/- 0.54, N = 3158.97329.53MIN: 147.03 / MAX: 169.16MIN: 165.13 / MAX: 354.631. (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 OffSMT On - Default246810SE +/- 0.00, N = 3SE +/- 0.01, N = 33.216.61MIN: 2.13 / MAX: 11.62MIN: 2.25 / MAX: 28.151. (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 OffSMT On - Default918273645SE +/- 0.26, N = 3SE +/- 0.20, N = 320.1741.211. (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 OffSMT On - Default612182430SE +/- 0.08, N = 3SE +/- 0.13, N = 312.4324.541. (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 OffSMT On - Default48121620SE +/- 0.05138, N = 3SE +/- 0.02257, N = 37.5937614.551101. (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 OffSMT On - Default1.26452.5293.79355.0586.3225SE +/- 0.00, N = 3SE +/- 0.00, N = 33.065.62MIN: 1.95 / MAX: 14.46MIN: 2.01 / MAX: 29.211. (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 OffSMT On - Default0.8731.7462.6193.4924.365SE +/- 0.00, N = 3SE +/- 0.00, N = 32.123.88MIN: 1.56 / MAX: 9.64MIN: 1.55 / MAX: 24.231. (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 OffSMT On - Default918273645SE +/- 0.16, N = 7SE +/- 0.16, N = 1540.9822.69

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 OffSMT On - Default1326395265SE +/- 0.08, N = 3SE +/- 0.16, N = 332.5857.57MIN: 22.75 / MAX: 50.14MIN: 34.99 / MAX: 106.021. (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 OffSMT On - Default246810SE +/- 0.01, N = 3SE +/- 0.01, N = 34.227.22MIN: 3.09 / MAX: 10.37MIN: 4.48 / MAX: 26.341. (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 OffSMT On - Default3691215SE +/- 0.01, N = 4SE +/- 0.01, N = 312.057.11

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUSMT OffSMT On - Default612182430SE +/- 0.04, N = 3SE +/- 0.03, N = 315.7726.67MIN: 14.16 / MAX: 30.7MIN: 15.22 / MAX: 47.891. (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 OffSMT On - Default1.0082.0163.0244.0325.04SE +/- 0.00, N = 3SE +/- 0.00, N = 32.654.48MIN: 1.8 / MAX: 9.28MIN: 1.99 / MAX: 22.311. (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 OffSMT On - Default4M8M12M16M20MSE +/- 37116.95, N = 3SE +/- 241581.30, N = 1510337993170630211. (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 OffSMT On - Default200K400K600K800K1000KSE +/- 100.03, N = 3SE +/- 276.36, N = 35416358467361. (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 OffSMT On - Default2000M4000M6000M8000M10000MSE +/- 4427565.17, N = 3SE +/- 14339494.80, N = 3548250000084947333331. (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 OffSMT On - Default2K4K6K8K10KSE +/- 0.03, N = 3SE +/- 0.32, N = 35264.27954.2MIN: 3398.1MIN: 5432.6 / MAX: 7954.61. (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 OffSMT On - Default3M6M9M12M15MSE +/- 110048.07, N = 4SE +/- 136953.60, N = 38825111.2113316660.101. (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 OffSMT On - Default0.72671.45342.18012.90683.6335SE +/- 0.02146, N = 3SE +/- 0.04511, N = 32.142163.229561. (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 OffSMT On - Default4080120160200SE +/- 0.04, N = 6SE +/- 0.11, N = 8119.51179.45MIN: 117.52 / MAX: 122.07MIN: 175.01 / MAX: 186.64

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7SMT OffSMT On - Default40K80K120K160K200KSE +/- 1876.30, N = 3SE +/- 329.61, N = 3198070.06133016.391. (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 OffSMT On - Default50100150200250SE +/- 0.05, N = 7SE +/- 0.06, N = 8150.34223.21MIN: 148.74 / MAX: 152.35MIN: 219.93 / MAX: 227.73

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjSMT OffSMT On - Default4080120160200SE +/- 0.06, N = 4SE +/- 0.14, N = 5129.31191.78MIN: 127.88 / MAX: 131.29MIN: 188.36 / MAX: 196.2

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateSMT OffSMT On - Default1326395265SE +/- 0.02, N = 7SE +/- 0.18, N = 838.0656.411. (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 OffSMT On - Default300K600K900K1200K1500KSE +/- 341.06, N = 3SE +/- 1201.85, N = 393977713613331. (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 OffSMT On - Default7K14K21K28K35KSE +/- 23.25, N = 3SE +/- 32.92, N = 33451923981

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveSMT OffSMT On - Default246810SE +/- 0.025, N = 6SE +/- 0.025, N = 77.8235.4921. (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 OffSMT On - Default3691215SE +/- 0.03, N = 3SE +/- 0.05, N = 37.7410.73MIN: 5.2 / MAX: 16.54MIN: 6.4 / MAX: 32.231. (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 OffSMT On - Default70K140K210K280K350KSE +/- 92.96, N = 3SE +/- 53.35, N = 32360943230101. (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 OffSMT On - Default70K140K210K280K350KSE +/- 96.62, N = 3SE +/- 45.32, N = 32361983230001. (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 OffSMT On - Default200000M400000M600000M800000M1000000MSE +/- 501642086.81, N = 3SE +/- 89801965.81, N = 35977295322238070098414271. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20SMT OffSMT On - Default300000M600000M900000M1200000M1500000MSE +/- 277988469.18, N = 3SE +/- 507390352.95, N = 388430027362011863592944501. (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 OffSMT On - Default2004006008001000SE +/- 5.91, N = 3SE +/- 4.77, N = 15972.45733.801. (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 OffSMT On - Default2K4K6K8K10KSE +/- 33.26, N = 3SE +/- 33.49, N = 37974.9610557.161. (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 OffSMT On - Default918273645SE +/- 0.02, N = 3SE +/- 0.09, N = 429.6639.14

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondSMT OffSMT On - Default1.3M2.6M3.9M5.2M6.5MSE +/- 8927.75, N = 3SE +/- 10789.95, N = 34598401.146042366.341. (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 OffSMT On - Default1020304050SE +/- 0.03, N = 3SE +/- 0.04, N = 433.6643.85

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigSMT OffSMT On - Default4080120160200SE +/- 0.37, N = 3SE +/- 0.88, N = 3155.01201.76

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256SMT OffSMT On - Default40000M80000M120000M160000M200000MSE +/- 126118866.35, N = 3SE +/- 76407988.26, N = 31434205892031866603933131. (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 OffSMT On - Default48121620SE +/- 0.14, N = 3SE +/- 0.14, N = 1510.7713.96MIN: 4.91 / MAX: 12.41MIN: 6.55 / MAX: 16.95

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 OffSMT On - Default2004006008001000SE +/- 0.00, N = 3SE +/- 0.58, N = 3971753

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 OffSMT On - Default3K6K9K12K15KSE +/- 23.35, N = 3SE +/- 14.19, N = 31543711982

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowSMT OffSMT On - Default1224364860SE +/- 0.04, N = 4SE +/- 0.06, N = 541.6053.421. (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 OffSMT On - Default2004006008001000SE +/- 0.33, N = 3SE +/- 0.33, N = 3817639

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeSMT OffSMT On - Default30609012015094.26120.351. (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 OffSMT On - Default6K12K18K24K30KSE +/- 34.28, N = 3SE +/- 39.68, N = 32596620379

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 OffSMT On - Default3K6K9K12K15KSE +/- 4.36, N = 3SE +/- 3.71, N = 31293410154

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumSMT OffSMT On - Default1224364860SE +/- 0.02, N = 4SE +/- 0.01, N = 542.4153.951. (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 OffSMT On - Default8001600240032004000SE +/- 1.45, N = 3SE +/- 0.88, N = 328803654MIN: 230 / MAX: 36075MIN: 293 / MAX: 42376

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinSMT OffSMT On - Default1632486480SE +/- 0.15, N = 10SE +/- 0.31, N = 1070.5855.791. (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 OffSMT On - Default48121620SE +/- 0.01, N = 8SE +/- 0.03, N = 717.9414.24

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 OffSMT On - Default1224364860SE +/- 0.02, N = 3SE +/- 0.01, N = 343.9755.18

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlySMT OffSMT On - Default918273645SE +/- 0.08, N = 3SE +/- 0.06, N = 337.1129.75

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlySMT OffSMT On - Default20406080100SE +/- 0.04, N = 3SE +/- 0.12, N = 3107.3486.62

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUSMT OffSMT On - Default3K6K9K12K15KSE +/- 6.68, N = 3SE +/- 14.83, N = 311265.5313949.891. (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 OffSMT On - Default48121620SE +/- 0.07, N = 4SE +/- 0.01, N = 415.3612.50

Blender

Blend File: Junkshop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlySMT OffSMT On - Default48121620SE +/- 0.04, N = 4SE +/- 0.03, N = 415.5712.71

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlySMT OffSMT On - Default714212835SE +/- 0.06, N = 3SE +/- 0.05, N = 329.3724.00

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 OffSMT On - Default2000M4000M6000M8000M10000MSE +/- 15159192.30, N = 3SE +/- 6331139.97, N = 3671106666781519000001. (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 OffSMT On - Default0.25470.50940.76411.01881.2735SE +/- 0.015554, N = 15SE +/- 0.010948, N = 151.1320140.9348961. (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 OffSMT On - Default246810SE +/- 0.007, N = 5SE +/- 0.015, N = 56.7508.173

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedSMT OffSMT On - Default100200300400500SE +/- 0.67, N = 3SE +/- 0.33, N = 33764551. (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 OffSMT On - Default1.2M2.4M3.6M4.8M6MSE +/- 52234.47, N = 3SE +/- 39392.13, N = 3449198454186721. (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 OffSMT On - Default0.05020.10040.15060.20080.251SE +/- 0.002, N = 3SE +/- 0.001, N = 30.2230.1851. (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 OffSMT On - Default70140210280350SE +/- 1.00, N = 3SE +/- 0.58, N = 32603131. (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 OffSMT On - Default3691215SE +/- 0.02, N = 4SE +/- 0.01, N = 511.339.46

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: GoogLeNetSMT OffSMT On - Default90180270360450SE +/- 0.71, N = 3SE +/- 2.87, N = 3432.49361.38

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUSMT OffSMT On - Default2K4K6K8K10KSE +/- 19.63, N = 3SE +/- 8.58, N = 37335.768730.881. (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 OffSMT On - Default10002000300040005000SE +/- 9.68, N = 3SE +/- 5.09, N = 34044.564774.331. (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 OffSMT On - Default51015202518.1921.441. (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 OffSMT On - Default1.09732.19463.29194.38925.4865SE +/- 0.004, N = 7SE +/- 0.005, N = 64.1494.877

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingSMT OffSMT On - Default200K400K600K800K1000KSE +/- 379.38, N = 3SE +/- 3530.77, N = 37766589081591. (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 OffSMT On - Default7K14K21K28K35KSE +/- 28.47, N = 3SE +/- 0.83, N = 327294.2031655.571. (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 OffSMT On - Default90K180K270K360K450KSE +/- 3233.97, N = 7SE +/- 5529.34, N = 15443291.71385558.531. (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 OffSMT On - Default2K4K6K8K10KSE +/- 10.17, N = 3SE +/- 2.97, N = 39772.4211232.261. (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 OffSMT On - Default600K1200K1800K2400K3000KSE +/- 145.15, N = 3SE +/- 331.00, N = 32407045.52755042.31. (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 OffSMT On - Default600M1200M1800M2400M3000MSE +/- 2305307.88, N = 3SE +/- 3925274.23, N = 3249703333328554666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Appleseed

Scene: Disney Material

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialSMT OffSMT On - Default71421283526.9430.69

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3SMT OffSMT On - Default9K18K27K36K45KSE +/- 169.28, N = 3SE +/- 450.61, N = 1542873.2237645.971. (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 OffSMT On - Default2004006008001000SE +/- 2.32, N = 3SE +/- 2.99, N = 3979.201109.751. (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 OffSMT On - Default2004006008001000SE +/- 4.24, N = 3SE +/- 4.70, N = 3806.99724.64MIN: 82.19 / MAX: 7500MIN: 85.11 / MAX: 6666.67

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeSMT OffSMT On - Default1224364860SE +/- 0.02, N = 3SE +/- 0.01, N = 348.8854.40

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeSMT OffSMT On - Default1224364860SE +/- 0.02, N = 3SE +/- 0.02, N = 348.9354.39

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 OffSMT On - Default306090120150SE +/- 0.80, N = 3SE +/- 0.26, N = 3152.83137.62

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 OffSMT On - Default2004006008001000SE +/- 3.29, N = 3SE +/- 6.12, N = 3774.87698.12MIN: 80.97 / MAX: 6666.67MIN: 80.86 / 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 OffSMT On - Default2004006008001000SE +/- 5.07, N = 3SE +/- 5.27, N = 3804.06729.56MIN: 82.99 / MAX: 7500MIN: 81.63 / MAX: 7500

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedSMT OffSMT On - Default100K200K300K400K500KSE +/- 94.33, N = 3SE +/- 401.79, N = 3422695.2465436.81. (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 OffSMT On - Default612182430SE +/- 0.20, N = 6SE +/- 0.13, N = 321.2223.34

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUSMT OffSMT On - Default0.11550.2310.34650.4620.5775SE +/- 0.000896, N = 9SE +/- 0.004859, N = 150.4717170.513417MIN: 0.45MIN: 0.481. (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 OffSMT On - Default40K80K120K160K200KSE +/- 585.07, N = 3SE +/- 1255.01, N = 3175803.47190777.831. (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 OffSMT On - Default3691215SE +/- 0.0052, N = 3SE +/- 0.0004, N = 38.91929.65761. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughSMT OffSMT On - Default48121620SE +/- 0.00, N = 3SE +/- 0.00, N = 314.5715.721. (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 OffSMT On - Default612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 325.6223.741. (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 OffSMT On - Default1020304050SE +/- 0.19, N = 3SE +/- 0.06, N = 341.6844.961. (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 OffSMT On - Default20406080100SE +/- 0.01, N = 6SE +/- 0.02, N = 6102.27110.041. (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 OffSMT On - Default40K80K120K160K200KSE +/- 90.58, N = 9SE +/- 1302.88, N = 15179200.08167026.931. (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 OffSMT On - Default51015202519.2220.601. (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 OffSMT On - Default306090120150SE +/- 0.24, N = 7SE +/- 1.10, N = 7126.61118.161. (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 OffSMT On - Default3691215SE +/- 0.065, N = 3SE +/- 0.028, N = 310.5039.8101. (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 OffSMT On - Default30060090012001500SE +/- 8.98, N = 6SE +/- 3.83, N = 61162.501086.48

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: AlexNetSMT OffSMT On - Default714212835SE +/- 0.10, N = 7SE +/- 0.16, N = 727.7025.93

GraphicsMagick

Operation: Swirl

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SwirlSMT OffSMT On - Default2004006008001000SE +/- 0.33, N = 3SE +/- 0.33, N = 37988511. (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 OffSMT On - Default70140210280350SE +/- 0.48, N = 9SE +/- 2.17, N = 9299.97281.591. (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 OffSMT On - Default510152025SE +/- 0.03, N = 3SE +/- 0.07, N = 321.0322.091. (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 OffSMT On - Default150300450600750SE +/- 2.03, N = 3SE +/- 7.40, N = 3691.93659.11

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16SMT OffSMT On - Default4080120160200SE +/- 0.10, N = 3SE +/- 0.24, N = 3171.22178.931. (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 OffSMT On - Default48121620SE +/- 0.20, N = 3SE +/- 0.16, N = 317.1217.87

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadSMT OffSMT On - Default200M400M600M800M1000MSE +/- 9096243.38, N = 5SE +/- 5260460.78, N = 38203578367868965801. (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 OffSMT On - Default48121620SE +/- 0.02, N = 4SE +/- 0.07, N = 413.1313.67

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512SMT OffSMT On - Default15000M30000M45000M60000M75000MSE +/- 155480309.48, N = 3SE +/- 163780192.60, N = 369546046390723597672401. (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 OffSMT On - Default7001400210028003500SE +/- 7.32, N = 3SE +/- 2.87, N = 33419.613287.431. (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 OffSMT On - Default200M400M600M800M1000MSE +/- 36730.51, N = 3SE +/- 707549.54, N = 38541807018221028281. (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 OffSMT On - Default400000M800000M1200000M1600000M2000000MSE +/- 1218174976.10, N = 3SE +/- 2482404044.78, N = 3176937386530018377658507471. (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 OffSMT On - Default306090120150SE +/- 1.07, N = 3SE +/- 1.52, N = 3123.38128.13

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUSMT OffSMT On - Default4080120160200SE +/- 0.09, N = 3SE +/- 0.32, N = 3201.01193.801. (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 OffSMT On - Default20406080100SE +/- 0.06, N = 3SE +/- 0.10, N = 380.3383.29

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 OffSMT On - Default20406080100SE +/- 0.02, N = 6SE +/- 0.49, N = 793.5496.811. (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 OffSMT On - Default4K8K12K16K20KSE +/- 13.89, N = 3SE +/- 0.00, N = 315967.916464.11. (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 OffSMT On - Default1.07012.14023.21034.28045.3505SE +/- 0.00841, N = 4SE +/- 0.00697, N = 34.755814.62277

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 OffSMT On - Default50100150200250SE +/- 0.40, N = 3SE +/- 0.65, N = 3209.16203.33

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeSMT OffSMT On - Default612182430SE +/- 0.08, N = 3SE +/- 0.10, N = 323.2123.821. (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 OffSMT On - Default40K80K120K160K200KSE +/- 247.78, N = 5SE +/- 878.07, N = 5199661.62194853.911. (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 OffSMT On - Default2004006008001000SE +/- 1.83, N = 3SE +/- 3.19, N = 3839.05819.05

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeSMT OffSMT On - Default4080120160200156.58160.371. (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 OffSMT On - Default20406080100SE +/- 0.05, N = 3SE +/- 0.32, N = 390.9988.89

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingSMT OffSMT On - Default15K30K45K60K75KSE +/- 382.37, N = 3SE +/- 395.30, N = 369207.570762.81. (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 OffSMT On - Default306090120150SE +/- 0.10, N = 3SE +/- 0.21, N = 3112.00109.56

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 OffSMT On - Default510152025SE +/- 0.17, N = 3SE +/- 0.07, N = 320.6720.24MIN: 17.64 / MAX: 21.34MIN: 19.69 / MAX: 20.76

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 OffSMT On - Default3691215SE +/- 0.01, N = 4SE +/- 0.04, N = 411.5111.281. (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 OffSMT On - Default1020304050SE +/- 0.12, N = 3SE +/- 0.13, N = 343.0143.83MIN: 40.3 / MAX: 44.35MIN: 41.6 / MAX: 45.11

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 OffSMT On - Default50100150200250SE +/- 0.10, N = 3SE +/- 0.52, N = 3250.82246.24

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 OffSMT On - Default1224364860SE +/- 0.39, N = 3SE +/- 0.42, N = 352.1451.20MIN: 47.46 / MAX: 54.1MIN: 48.71 / MAX: 53.18

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetSMT OffSMT On - Default5001000150020002500SE +/- 10.16, N = 4SE +/- 2.78, N = 42234.752271.95

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumSMT OffSMT On - Default150300450600750SE +/- 2.71, N = 8SE +/- 3.94, N = 8691.99701.731. (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 OffSMT On - Default1530456075SE +/- 0.72, N = 3SE +/- 0.06, N = 368.7067.781. (CXX) g++ options: -O3 -lm -ldl

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingSMT OffSMT On - Default16K32K48K64K80KSE +/- 0.00, N = 3SE +/- 438.43, N = 374970.274093.31. (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 OffSMT On - Default1020304050SE +/- 0.06, N = 3SE +/- 0.27, N = 343.1943.68MIN: 39.77 / MAX: 44.9MIN: 41.7 / MAX: 44.98

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MSMT OffSMT On - Default20406080100SE +/- 0.05, N = 3SE +/- 0.11, N = 376.4277.26

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DSMT OffSMT On - Default2K4K6K8K10KSE +/- 21.61, N = 6SE +/- 55.66, N = 68556.578647.621. (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

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2SMT OffSMT On - Default700M1400M2100M2800M3500MSE +/- 4101761.26, N = 3SE +/- 6342005.91, N = 3314554433331770820001. (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 OffSMT On - Default48121620SE +/- 0.09, N = 3SE +/- 0.19, N = 417.2817.42MIN: 15.38 / MAX: 17.87MIN: 16.53 / MAX: 18.16

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dSMT OffSMT On - Default4080120160200SE +/- 0.21, N = 3SE +/- 0.78, N = 3201.27199.841. (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 OffSMT On - Default0.64131.28261.92392.56523.2065SE +/- 0.00, N = 5SE +/- 0.00, N = 52.832.85

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 OffSMT On - Default48121620SE +/- 0.15, N = 3SE +/- 0.05, N = 317.5917.49MIN: 3.09 / MAX: 18.18MIN: 16.94 / MAX: 18.01

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballSMT OffSMT On - Default300600900120015001319.61326.21. (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 OffSMT On - Default400000M800000M1200000M1600000M2000000MSE +/- 3907203464.57, N = 3SE +/- 679943093.73, N = 3199918456604320073653514701. (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 OffSMT On - Default510152025SE +/- 0.05, N = 3SE +/- 0.04, N = 322.8222.731. (CXX) g++ options: -O3 -lm

Timed ImageMagick Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileSMT OffSMT On - Default3691215SE +/- 0.078, N = 5SE +/- 0.013, N = 59.9049.868

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetSMT OffSMT On - Default6001200180024003000SE +/- 3.14, N = 3SE +/- 2.64, N = 32675.122665.92

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 OffSMT On - Default1.31632.63263.94895.26526.5815SE +/- 0.01, N = 7SE +/- 0.00, N = 75.835.85

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerSMT OffSMT On - Default1632486480SE +/- 0.14, N = 3SE +/- 0.07, N = 373.4473.67

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 OffSMT On - Default48121620SE +/- 0.09, N = 3SE +/- 0.12, N = 317.4117.46MIN: 15.31 / MAX: 17.97MIN: 16.79 / MAX: 17.99

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 OffSMT On - Default1.3142.6283.9425.2566.57SE +/- 0.01, N = 7SE +/- 0.01, N = 75.835.84

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 OffSMT On - Default1428425670SE +/- 0.02, N = 3SE +/- 0.01, N = 363.7863.671. (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 OffSMT On - Default120024003600480060005583.485574.361. (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 OffSMT On - Default1020304050SE +/- 0.29, N = 3SE +/- 0.29, N = 343.6843.61MIN: 40.37 / MAX: 44.97MIN: 41.9 / MAX: 45.08

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUSMT OffSMT On - Default4K8K12K16K20KSE +/- 14.17, N = 3SE +/- 13.14, N = 318690.3218679.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4332.3360.5SMT On - Default45.2367.6394.2OpenBenchmarking.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 OffSMT On - Default90180270360450Min: 22.2 / Avg: 326.39 / Max: 505.98Min: 44.19 / Avg: 324.1 / Max: 500.98

Aircrack-ng

CPU Power Consumption Monitor

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

Aircrack-ng

OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.7SMT OffSMT On - Default110220330440550531.27407.19

Y-Cruncher

CPU Power Consumption Monitor

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

Y-Cruncher

CPU Power Consumption Monitor

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

Stockfish

CPU Power Consumption Monitor

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

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkSMT OffSMT On - Default150K300K450K600K750K541348.84697627.07

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkSMT OffSMT On - Default70M140M210M280M350MSE +/- 4076501.74, N = 15SE +/- 4338134.07, N = 152316990043073439231. (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 Off44.5367.1404.5SMT On - Default44.9425.0482.5OpenBenchmarking.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 OffSMT On - Default112233445545.3746.77

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MSMT OffSMT On - Default4K8K12K16K20KSE +/- 6.58, N = 3SE +/- 912.79, N = 1516656.319873.01. (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 OffSMT On - Default612182430SE +/- 0.11, N = 3SE +/- 0.03, N = 323.9922.241. (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 OffSMT On - Default0.6351.271.9052.543.175SE +/- 0.01243, N = 3SE +/- 0.00186, N = 32.822291.029981. (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 OffSMT On - Default3691215SE +/- 0.02184, N = 3SE +/- 0.03295, N = 310.951804.473921. (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 OffSMT On - Default1122334455SE +/- 0.62, N = 3SE +/- 0.12, N = 349.5924.271. (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 OffSMT On - Default20406080100SE +/- 0.50, N = 3SE +/- 0.21, N = 380.4440.751. (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 OffSMT On - Default100200300400500SE +/- 4.66, N = 3SE +/- 4.35, N = 3466.91309.761. (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 OffSMT On - Default306090120150SE +/- 0.89, N = 3SE +/- 0.11, N = 3131.7068.721. (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 Off44.4157.4316.9SMT On - Default44.9156.5315.2OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.4CPU Power Consumption Monitor80160240320400

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6297.7322.4SMT On - Default45.0302.2325.1OpenBenchmarking.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 OffSMT On - Default0.01330.02660.03990.05320.06650.0590.058

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4276.3317.2SMT On - Default45.0281.8321.0OpenBenchmarking.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 OffSMT On - Default0.03510.07020.10530.14040.17550.1560.156

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5297.5321.9SMT On - Default44.8301.1326.0OpenBenchmarking.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 OffSMT On - Default0.01310.02620.03930.05240.06550.0580.058

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4276.1318.4SMT On - Default45.1281.3320.6OpenBenchmarking.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 OffSMT On - Default0.03560.07120.10680.14240.1780.1580.155

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6298.3323.0SMT On - Default44.8301.3324.8OpenBenchmarking.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 OffSMT On - Default0.01310.02620.03930.05240.06550.0580.058

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5276.2317.1SMT On - Default44.6279.7319.7OpenBenchmarking.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 OffSMT On - Default0.03510.07020.10530.14040.17550.1560.156

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6274.7306.6SMT On - Default44.8279.6308.3OpenBenchmarking.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 OffSMT On - Default0.01690.03380.05070.06760.08450.0750.072

PyTorch

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5242.1302.2SMT On - Default45.0244.9304.0OpenBenchmarking.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 OffSMT On - Default0.04840.09680.14520.19360.2420.2150.209

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5319.6355.3SMT On - Default44.8325.5361.1OpenBenchmarking.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 OffSMT On - Default0.59061.18121.77182.36242.9532.6252.516

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5261.5328.0SMT On - Default44.7277.8340.8OpenBenchmarking.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 OffSMT On - Default369121510.2299.597

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4339.7363.0SMT On - Default45.1337.2361.7OpenBenchmarking.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 OffSMT On - Default0.16610.33220.49830.66440.83050.7380.730

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5287.1332.6SMT On - Default45.0293.8338.6OpenBenchmarking.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 OffSMT On - Default0.54231.08461.62692.16922.71152.4102.243

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.9226.6308.9SMT On - Default44.8237.7322.8OpenBenchmarking.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 OffSMT On - Default36912159.8609.558

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.3309.7333.2SMT On - Default44.8308.7332.3OpenBenchmarking.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 OffSMT On - Default0.15190.30380.45570.60760.75950.6750.659

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6242.5320.4SMT On - Default44.9265.5336.6OpenBenchmarking.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 OffSMT On - Default0.40140.80281.20421.60562.0071.7841.361

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6171.6273.2SMT On - Default44.8169.0264.5OpenBenchmarking.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 OffSMT On - Default2468106.7746.430

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5279.5321.3SMT On - Default44.8282.4318.6OpenBenchmarking.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 OffSMT On - Default0.12310.24620.36930.49240.61550.5470.487

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.2130.7283.8SMT On - Default44.7161.1285.5OpenBenchmarking.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 OffSMT On - Default0.07070.14140.21210.28280.35350.3140.141

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5161.4303.4SMT On - Default44.7168.5306.4OpenBenchmarking.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 OffSMT On - Default0.03870.07740.11610.15480.19350.1720.154

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.1179.0267.4SMT On - Default44.6202.2266.1OpenBenchmarking.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 OffSMT On - Default0.01510.03020.04530.06040.07550.0670.035

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.3270.1456.6SMT On - Default44.5371.7421.8OpenBenchmarking.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 OffSMT On - Default4080120160200165.1452.33

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalSMT OffSMT On - Default10K20K30K40K50KSE +/- 1047.04, N = 15SE +/- 214.06, N = 344608.919454.11. (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 Off44.5270.3353.9SMT On - Default44.8306.1405.8OpenBenchmarking.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 OffSMT On - Default61218243019.4725.99

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6420.9484.9SMT On - Default45.4394.5450.7OpenBenchmarking.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 OffSMT On - Default1.6M3.2M4.8M6.4M8M5933020.847237709.10

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6427.5498.3SMT On - Default44.8413.6472.3OpenBenchmarking.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 OffSMT On - Default4M8M12M16M20M15697848.9819710155.44

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6427.6491.9SMT On - Default45.2422.3487.6OpenBenchmarking.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 OffSMT On - Default4M8M12M16M20M12821155.6920115931.63

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.7315.2341.7SMT On - Default44.7298.6325.9OpenBenchmarking.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 OffSMT On - Default0.64131.28261.92392.56523.20652.5312.850

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4376.7408.7SMT On - Default44.7323.9350.4OpenBenchmarking.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 OffSMT On - Default0.31610.63220.94831.26441.58050.9981.405

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4221.2253.7SMT On - Default44.7208.0234.1OpenBenchmarking.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 OffSMT On - Default0.33860.67721.01581.35441.6931.1711.505

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4320.9449.8SMT On - Default44.7318.6450.4OpenBenchmarking.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 OffSMT On - Default0.00680.01360.02040.02720.0340.0280.030

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.3319.5454.3SMT On - Default44.5317.5448.4OpenBenchmarking.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 OffSMT On - Default0.01130.02260.03390.04520.05650.0460.050

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.2207.4436.7SMT On - Default44.5203.3437.2OpenBenchmarking.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 OffSMT On - Default0.12170.24340.36510.48680.60850.4930.541

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.2131.9430.5SMT On - Default44.4133.5427.6OpenBenchmarking.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 OffSMT On - Default1.18282.36563.54844.73125.9145.2465.257

VVenC

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6248.9340.3SMT On - Default44.6239.4329.0OpenBenchmarking.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 OffSMT On - Default0.02320.04640.06960.09280.1160.1030.099

VVenC

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.3217.3348.4SMT On - Default44.5212.7338.9OpenBenchmarking.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 OffSMT On - Default0.01080.02160.03240.04320.0540.0480.046

uvg266

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6294.7372.8SMT On - Default44.6313.9407.2OpenBenchmarking.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 OffSMT On - Default0.03150.0630.09450.1260.15750.1140.140

uvg266

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5296.9372.9SMT On - Default45.3318.4408.0OpenBenchmarking.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 OffSMT On - Default0.02770.05540.08310.11080.13850.1000.123

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.7227.7358.1SMT On - Default44.7226.3360.3OpenBenchmarking.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 OffSMT On - Default0.09630.19260.28890.38520.48150.4110.428

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.7260.4340.9SMT On - Default44.6273.6378.0OpenBenchmarking.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 OffSMT On - Default0.04430.08860.13290.17720.22150.1630.197

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.7256.9340.1SMT On - Default44.7273.8377.9OpenBenchmarking.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 OffSMT On - Default0.04390.08780.13170.17560.21950.1620.195

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4163.7323.2SMT On - Default44.4164.5329.5OpenBenchmarking.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 OffSMT On - Default0.01580.03160.04740.06320.0790.0700.069

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.3150.1286.8SMT On - Default44.5151.9282.0OpenBenchmarking.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 OffSMT On - Default0.18990.37980.56970.75960.94950.8440.778

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxSMT Off22.7115.5298.0SMT On - Default44.5116.3294.8OpenBenchmarking.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 OffSMT On - Default0.58461.16921.75382.33842.9232.5982.421

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4116.4304.8SMT On - Default44.4115.6288.1OpenBenchmarking.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 OffSMT On - Default0.56211.12421.68632.24842.81052.4982.353

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 OffSMT On - Default60120180240300SE +/- 8.78, N = 15SE +/- 7.58, N = 15290.64271.921. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Parallel BZIP2 Compression

CPU Power Consumption Monitor

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

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxSMT Off45.0356.0473.9SMT On - Default44.7373.2482.8OpenBenchmarking.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 OffSMT On - Default50010001500200025001521.542269.16

OpenVKL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 2.0.0CPU Power Consumption MonitorSMT OffSMT On - Default90180270360450Min: 44.85 / Avg: 391.57 / Max: 483.84Min: 44.92 / Avg: 399.08 / Max: 477.59

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCSMT OffSMT On - Default36912157.3559.156

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.8298.3408.0SMT On - Default44.8299.1406.1OpenBenchmarking.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 OffSMT On - Default0.00230.00460.00690.00920.01150.0090.010

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.8240.1410.1SMT On - Default44.6237.3409.6OpenBenchmarking.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 OffSMT On - Default0.00560.01120.01680.02240.0280.0240.025

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6235.6409.3SMT On - Default44.6239.9408.8OpenBenchmarking.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 OffSMT On - Default0.00560.01120.01680.02240.0280.0250.024

Embree

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5299.9485.8SMT On - Default44.5256.2473.6OpenBenchmarking.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 OffSMT On - Default0.15750.3150.47250.630.78750.3980.700

Embree

CPU Power Consumption Monitor

MinAvgMaxSMT Off45.0212.2472.4SMT On - Default44.6176.7465.2OpenBenchmarking.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 OffSMT On - Default0.24410.48820.73230.97641.22050.6091.085

Embree

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.7274.9474.7SMT On - Default44.7231.4467.8OpenBenchmarking.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 OffSMT On - Default0.21710.43420.65130.86841.08550.5470.965

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay

CPU Power Consumption Monitor

MinAvgMaxSMT Off45.1370.6453.1SMT On - Default44.8376.8448.6OpenBenchmarking.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 OffSMT On - Default0.03240.06480.09720.12960.1620.1320.144

OSPRay

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.8431.3453.2SMT On - Default45.0429.8449.3OpenBenchmarking.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 OffSMT On - Default0.02860.05720.08580.11440.1430.1130.127

OSPRay

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.7422.2472.3SMT On - Default44.7425.8477.0OpenBenchmarking.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 OffSMT On - Default0.02930.05860.08790.11720.14650.1040.130

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxSMT Off45.0424.4477.8SMT On - Default45.0431.6490.9OpenBenchmarking.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 OffSMT On - Default0.01670.03340.05010.06680.08350.0580.074

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUSMT OffSMT On - Default714212835SE +/- 0.24, N = 15SE +/- 0.52, N = 1524.4432.02MIN: 21.11 / MAX: 32.81MIN: 26.48 / MAX: 43.04

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.8402.9455.4SMT On - Default44.9369.8444.6OpenBenchmarking.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 OffSMT On - Default0.00860.01720.02580.03440.0430.0270.038

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxSMT Off45.1433.4473.4SMT On - Default44.6438.9482.6OpenBenchmarking.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 OffSMT On - Default0.01080.02160.03240.04320.0540.0400.048

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUSMT OffSMT On - Default510152025SE +/- 0.21, N = 15SE +/- 0.33, N = 1517.1620.94MIN: 15.64 / MAX: 21.09MIN: 19.5 / MAX: 27

Appleseed

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

OpenRadioss

CPU Power Consumption Monitor

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

OpenRadioss

CPU Power Consumption Monitor

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

OpenRadioss

CPU Power Consumption Monitor

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

OpenFOAM

CPU Power Consumption Monitor

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

OpenFOAM

CPU Power Consumption Monitor

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

BRL-CAD

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.7418.7497.0SMT On - Default44.6116.0244.3OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.38.2CPU Power Consumption Monitor130260390520650

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.38.2VGR Performance MetricSMT OffSMT On - Default11K22K33K44K55K4541.7650873.19

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5400.3425.4SMT On - Default44.9401.7443.9OpenBenchmarking.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 OffSMT On - Default90180270360450Min: 44.59 / Avg: 478.93 / Max: 504.52Min: 44.44 / Avg: 477.37 / Max: 499.23

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.7156.0433.5SMT On - Default44.4139.5414.0OpenBenchmarking.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 OffSMT On - Default300600900120015001148.781197.56

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5221.5423.4SMT On - Default44.5216.0421.2OpenBenchmarking.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 OffSMT On - Default91827364538.6340.04

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.9294.7465.1SMT On - Default44.8302.4488.2OpenBenchmarking.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 OffSMT On - Default150300450600750677.42644.42

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.7259.4475.5SMT On - Default44.8277.0487.2OpenBenchmarking.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 OffSMT On - Default4008001200160020001708.911391.90

Pennant

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5247.5476.3SMT On - Default44.5248.9471.5OpenBenchmarking.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 OffSMT On - Default0.98861.97722.96583.95444.943SE +/- 0.033508, N = 9SE +/- 0.073388, N = 154.1003394.3936061. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.7190.2471.9SMT On - Default44.6210.5475.6OpenBenchmarking.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 OffSMT On - Default0.62131.24261.86392.48523.1065SE +/- 0.039628, N = 15SE +/- 0.045208, N = 151.9619892.7612601. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

High Performance Conjugate Gradient

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.8408.3463.1SMT On - Default44.6406.0468.4OpenBenchmarking.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 OffSMT On - Default0.03530.07060.10590.14120.17650.1560.157

GPAW

CPU Power Consumption Monitor

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

QuantLib

CPU Power Consumption Monitor

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

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedSMT OffSMT On - Default20040060080010001102.521146.37

CloverLeaf

CPU Power Consumption Monitor

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

CloverLeaf

CPU Power Consumption Monitor

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

GROMACS

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.8341.9488.5SMT On - Default44.6349.2487.2OpenBenchmarking.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 OffSMT On - Default0.01490.02980.04470.05960.07450.0660.065

NAMD

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4299.3477.8SMT On - Default44.5284.4425.6OpenBenchmarking.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 OffSMT On - Default0.00360.00720.01080.01440.0180.0160.016

NAMD

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6214.4478.1SMT On - Default44.8214.8414.4OpenBenchmarking.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 OffSMT On - Default0.01890.03780.05670.07560.09450.0840.066

ASKAP

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6353.6487.5SMT On - Default45.0357.0474.4OpenBenchmarking.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 OffSMT On - Default50100150200250212.04207.54

m-queens

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5470.2495.6SMT On - Default44.3461.9488.1OpenBenchmarking.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 OffSMT On - Default0.03310.06620.09930.13240.16550.1460.147

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6134.5464.0SMT On - Default44.5125.0352.9OpenBenchmarking.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 OffSMT On - Default0.11810.23620.35430.47240.59050.5250.446

LULESH

CPU Power Consumption Monitor

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

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3SMT OffSMT On - Default306090120150150.87129.24

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6268.6428.0SMT On - Default44.6229.3419.5OpenBenchmarking.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 OffSMT On - Default0.05540.11080.16620.22160.2770.1420.246

WRF

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorSMT OffSMT On - Default90180270360450Min: 44.48 / Avg: 440.76 / Max: 479.79Min: 44.4 / Avg: 440.28 / Max: 480.05

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.3323.8428.4SMT On - Default44.4334.4438.6OpenBenchmarking.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 OffSMT On - Default2M4M6M8M10M9715238.289501967.55

Coremark

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.3422.2478.4SMT On - Default44.7414.3479.8OpenBenchmarking.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 OffSMT On - Default3K6K9K12K15K10891.6614585.74

Speedb

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5373.9440.0SMT On - Default44.6398.2497.6OpenBenchmarking.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 OffSMT On - Default10K20K30K40K50K26924.5446936.44

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingSMT OffSMT On - Default4M8M12M16M20MSE +/- 205985.46, N = 15SE +/- 433421.14, N = 1210067442186878971. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.8418.5451.7SMT On - Default45.3417.3445.7OpenBenchmarking.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 OffSMT On - Default400K800K1200K1600K2000K2040959.051969975.35

RocksDB

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.8425.0468.0SMT On - Default44.8434.6500.1OpenBenchmarking.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 OffSMT On - Default8K16K24K32K40K24323.0139264.11

RocksDB

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.9419.0450.9SMT On - Default44.5415.4446.2OpenBenchmarking.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 OffSMT On - Default400K800K1200K1600K2000K1958108.131894471.54

Memcached

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5297.5348.5SMT On - Default44.5352.4409.0OpenBenchmarking.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 OffSMT On - Default8K16K24K32K40K29665.3037790.62

PostgreSQL

CPU Power Consumption Monitor

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

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4162.2412.8SMT On - Default44.4163.5407.0OpenBenchmarking.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 OffSMT On - Default1.11942.23883.35824.47765.5974.9754.431

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxSMT Off22.9440.8504.4SMT On - Default44.9400.8455.8OpenBenchmarking.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 OffSMT On - Default70014002100280035002132.193396.83

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptSMT OffSMT On - Default2004006008001000541.58782.32

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7412.9469.2SMT Off44.4436.1499.4SMT On - Default44.6415.1468.2OpenBenchmarking.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 OffSMT On - Default2004006008001000536.62778.22

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.5471.9506.0SMT On - Default44.7462.2499.0OpenBenchmarking.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 OffSMT On - Default400M800M1200M1600M2000M1266724084.661746071268.12

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20SMT OffSMT On - Default500M1000M1500M2000M2500M1930320322.622532659749.39

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.4448.3479.4SMT On - Default44.7423.5443.3OpenBenchmarking.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 OffSMT On - Default900M1800M2700M3600M4500M3946701676.574339501704.86

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxSMT Off44.6449.3475.8SMT On - Default44.7427.2447.2OpenBenchmarking.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 OffSMT On - Default1000M2000M3000M4000M5000M4449627450.394699217928.95

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA512SMT OffSMT On - Default30M60M90M120M150M145258130.79161764658.87

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA256SMT OffSMT On - Default90M180M270M360M450M319679118.20401864487.87

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: RSA4096SMT OffSMT On - Default130026003900520065005541.826287.44

Timed ImageMagick Compilation

CPU Power Consumption Monitor

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

Timed Mesa Compilation

CPU Power Consumption Monitor

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

Timed LLVM Compilation

CPU Power Consumption Monitor

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

Timed Gem5 Compilation

CPU Power Consumption Monitor

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

Timed Node.js Compilation

CPU Power Consumption Monitor

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

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

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

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

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

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

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


Phoronix Test Suite v10.8.5