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&gru.

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 Comparisonpytorch: CPU - 1 - ResNet-50pytorch: CPU - 64 - ResNet-50pytorch: CPU - 512 - ResNet-50pytorch: CPU - 512 - ResNet-152pytorch: CPU - 1 - ResNet-152pytorch: CPU - 64 - ResNet-152pytorch: CPU - 256 - ResNet-50pytorch: CPU - 256 - ResNet-152openssl: SHA512openssl: SHA256openssl: ChaCha20openssl: ChaCha20-Poly1305openssl: AES-128-GCMopenssl: AES-256-GCMamg: openvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastvvenc: Bosphorus 4K - Fastuvg266: Bosphorus 4K - Mediumvvenc: Bosphorus 4K - Fasteruvg266: Bosphorus 4K - Slowmt-dgemm: Sustained Floating-Point Ratehpcg: 144 144 144 - 60xmrig: GhostRider - 1Moidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlytensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 1 - ResNet-50tensorflow: CPU - 1 - AlexNettensorflow: CPU - 1 - GoogLeNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 512 - GoogLeNetonnx: yolov4 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelopenvkl: vklBenchmarkCPU ISPCospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timegraphics-magick: Enhancedgraphics-magick: Noise-Gaussiangraphics-magick: Swirlcoremark: CoreMark Size 666 - Iterations Per Secondaircrack-ng: luxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUsrsran: PUSCH Processor Benchmark, Throughput Totalsrsran: PDSCH Processor Benchmark, Throughput Totalquantlib: Multi-Threadedaskap: tConvolve MT - Griddingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingastcenc: Mediumastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustivestockfish: Chess Benchmarkgromacs: MPI CPU - water_GMX50_barelammps: Rhodopsin Proteinlammps: 20k Atomsnamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsrocksdb: Rand Readrocksdb: Read While Writingspeedb: Rand Readspeedb: Read While Writingmemcached: 1:100clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runjohn-the-ripper: Blowfishjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKliquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512npb: LU.Cnpb: MG.Cnpb: SP.Cnpb: IS.Dpgbench: 100 - 1000 - Read Onlyopenssl: RSA4096brl-cad: VGR Performance Metriclulesh: pennant: leblancbigpennant: sedovbigonnx: yolov4 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelpgbench: 100 - 1000 - Read Only - Average Latencyospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUonednn: Deconvolution Batch shapes_3d - CPUbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-godot: Time To Compilebuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-llvm: Ninjabuild-mesa: Time To Compilebuild-imagemagick: Time To Compilewrf: conus 2.5kmm-queens: Time To Solvecloverleaf: clover_bm64_shortcloverleaf: clover_bm16gpaw: Carbon Nanotubenwchem: C240 Buckyballincompact3d: X3D-benchmarking input.i3dopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Cell Phone Drop Testopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlyappleseed: Disney Materialcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressiony-cruncher: 500My-cruncher: 1BSMT On - DefaultSMT Off51.2043.6843.8317.4920.2417.4643.6117.42723597672401866603933131186359294450807009841427200736535147018377658507473177082000193.80190777.83733.8018679.3611232.268730.881109.7531655.574774.333287.4313949.8910557.16223.2053191.7839179.4494271.924281.589118.16311.27553.4253.9596.819.81043.8523.74339.1456.40889063.670819873.05.845.852.85137.622271.95246.247.1125.9322.691086.48361.38203.33659.112665.92819.0514.55113.2295624.539141.2052223.475969.28144.9646365455.176254.392754.39584553138516042366.343047133016.39120.9413.9632.027954.219454.1465436.816464.190815984673670762.874093.3701.7315110.038315.71959.657630734392322.72955.79167.77614.244934.62277786896580170630218221028281868789713316660.10698.12729.56724.643230103230001361333849473333381519000002855466667385558.53167026.93194853.918647.6254186722755042.3589905537645.9732.7612604.39360668.7196309.75740.750624.26834.473921.0299822.23770.18563910154203797531198223981329.530.4887.146.615.627.2257.573.8826.6719.364.4810.730.51341723.344201.75583.293109.561128.13288.89313.6699.8685574.3635.49222.09178.9323.8221326.2199.84458921.4414620.597089120.3457160.3737817.8773.6777.269.4624.0012.5029.7586.6212.7130.6924410.9348964.8778.17352.1443.1943.0117.5920.6717.4143.6817.2869546046390143420589203884300273620597729532223199918456604317693738653003145544333201.01175803.47972.4518690.329772.427335.76979.2027294.204044.563419.6111265.537974.96150.3383129.3101119.5087290.639299.974126.60611.51241.6042.4193.5410.50333.6625.61829.6638.05918363.776116656.35.835.832.83152.832234.75250.8212.0527.7040.981162.50432.49209.16691.932675.12839.057.593762.1421612.432220.170791.3008354.04841.6782288043.973548.932948.88413762607984598401.135640198070.05817.1610.7724.445264.244608.9422695.215967.977665854163569207.574970.2691.9921102.274114.56668.919223169900422.82170.57568.69517.935144.7558182035783610337993854180701100674428825111.21774.87804.06806.99236094236198939777548250000067110666672497033333443291.71179200.08199661.628556.5744919842407045.5190142542873.2181.9619894.100339131.695466.90980.439449.590910.95182.8222923.99210.22381712934259669711543734519158.970.2332.843.213.064.2232.582.1215.779.222.657.740.47171721.222155.00980.330112.003123.38290.98913.1309.9045583.4767.82321.03171.2223.2101319.6201.27080318.18548319.21584294.263759156.5799117.1273.4476.4211.3329.3715.3637.11107.3415.5726.9423581.1320144.1496.750OpenBenchmarking.org

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

PyTorch

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

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

OpenSSL

Algorithm: SHA512

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

OpenSSL

Algorithm: SHA256

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

OpenSSL

Algorithm: SHA256

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

OpenSSL

Algorithm: ChaCha20

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

OpenSSL

Algorithm: ChaCha20-Poly1305

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

OpenSSL

Algorithm: SHA512

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

OpenSSL

Algorithm: AES-128-GCM

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

OpenSSL

Algorithm: AES-256-GCM

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

OpenSSL

Algorithm: ChaCha20

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

OpenSSL

Algorithm: AES-128-GCM

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

OpenSSL

Algorithm: AES-256-GCM

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

OpenSSL

Algorithm: ChaCha20-Poly1305

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

Algebraic Multi-Grid Benchmark

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

Algebraic Multi-Grid Benchmark

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

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

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

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

OpenVINO

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

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

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

Embree

Binary: Pathtracer ISPC - Model: Crown

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

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

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

Kvazaar

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

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

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

Embree

Binary: Pathtracer ISPC - Model: Crown

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

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

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

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

Kvazaar

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

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

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

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

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

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

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

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

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

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

ACES DGEMM

Sustained Floating-Point Rate

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

ACES DGEMM

Sustained Floating-Point Rate

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

High Performance Conjugate Gradient

X Y Z: 144 144 144 - RT: 60

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

High Performance Conjugate Gradient

X Y Z: 144 144 144 - RT: 60

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

Xmrig

Variant: GhostRider - Hash Count: 1M

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

Xmrig

Variant: GhostRider - Hash Count: 1M

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

Intel Open Image Denoise

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

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

Intel Open Image Denoise

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

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

Intel Open Image Denoise

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

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

Intel Open Image Denoise

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

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

Intel Open Image Denoise

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

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

Intel Open Image Denoise

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

TensorFlow

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

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

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

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

ONNX Runtime

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

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

ONNX Runtime

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

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

ONNX Runtime

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

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

ONNX Runtime

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

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

ONNX Runtime

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

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

ONNX Runtime

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

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

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

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

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

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

OSPRay

Benchmark: particle_volume/ao/real_time

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

OSPRay

Benchmark: particle_volume/scivis/real_time

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

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

OSPRay

Benchmark: particle_volume/ao/real_time

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

OSPRay

Benchmark: particle_volume/scivis/real_time

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

GraphicsMagick

Operation: Noise-Gaussian

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

GraphicsMagick

Operation: Enhanced

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

GraphicsMagick

Operation: Enhanced

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

GraphicsMagick

Operation: Noise-Gaussian

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

GraphicsMagick

Operation: Swirl

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

GraphicsMagick

Operation: Swirl

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

Coremark

CoreMark Size 666 - Iterations Per Second

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

Coremark

CoreMark Size 666 - Iterations Per Second

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

Aircrack-ng

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

Aircrack-ng

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

LuxCoreRender

Scene: DLSC - Acceleration: CPU

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

LuxCoreRender

Scene: DLSC - Acceleration: CPU

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

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

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

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

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

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

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

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

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

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Total

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

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Total

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

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

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

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

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

QuantLib

Configuration: Multi-Threaded

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

QuantLib

Configuration: Multi-Threaded

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

ASKAP

Test: tConvolve MT - Gridding

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

7-Zip Compression

Test: Decompression Rating

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

7-Zip Compression

Test: Compression Rating

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

7-Zip Compression

Test: Decompression Rating

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

ASKAP

Test: tConvolve MPI - Gridding

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

ASKAP

Test: tConvolve MPI - Degridding

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

ASKAP

Test: tConvolve MPI - Gridding

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

ASTC Encoder

Preset: Medium

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

ASTC Encoder

Preset: Thorough

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

ASTC Encoder

Preset: Very Thorough

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

ASTC Encoder

Preset: Exhaustive

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

ASTC Encoder

Preset: Medium

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

ASTC Encoder

Preset: Thorough

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

ASTC Encoder

Preset: Very Thorough

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

ASTC Encoder

Preset: Exhaustive

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

Stockfish

Chess Benchmark

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

Stockfish

Chess Benchmark

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

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

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

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

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

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

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

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

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

NAMD

Input: ATPase with 327,506 Atoms

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

NAMD

Input: ATPase with 327,506 Atoms

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

NAMD

Input: STMV with 1,066,628 Atoms

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

NAMD

Input: STMV with 1,066,628 Atoms

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

RocksDB

Test: Random Read

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

RocksDB

Test: Read While Writing

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

Speedb

Test: Random Read

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

RocksDB

Test: Random Read

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

RocksDB

Test: Read While Writing

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

Speedb

Test: Random Read

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

Speedb

Test: Read While Writing

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

Speedb

Test: Read While Writing

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

Memcached

Set To Get Ratio: 1:100

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

Memcached

Set To Get Ratio: 1:100

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

ClickHouse

100M Rows Hits Dataset, Third Run

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

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

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

ClickHouse

100M Rows Hits Dataset, Second Run

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

ClickHouse

100M Rows Hits Dataset, Third Run

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

John The Ripper

Test: Blowfish

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

John The Ripper

Test: Blowfish

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

John The Ripper

Test: bcrypt

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

John The Ripper

Test: WPA PSK

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

John The Ripper

Test: bcrypt

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

John The Ripper

Test: WPA PSK

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

Liquid-DSP

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

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

Liquid-DSP

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

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

Liquid-DSP

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

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

Liquid-DSP

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

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

Liquid-DSP

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

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

Liquid-DSP

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

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

NAS Parallel Benchmarks

Test / Class: IS.D

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

NAS Parallel Benchmarks

Test / Class: LU.C

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

NAS Parallel Benchmarks

Test / Class: LU.C

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

NAS Parallel Benchmarks

Test / Class: MG.C

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

NAS Parallel Benchmarks

Test / Class: SP.C

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

NAS Parallel Benchmarks

Test / Class: SP.C

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

NAS Parallel Benchmarks

Test / Class: MG.C

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

NAS Parallel Benchmarks

Test / Class: IS.D

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

PostgreSQL

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

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

OpenSSL

Algorithm: RSA4096

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

OpenSSL

Algorithm: RSA4096

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

BRL-CAD

VGR Performance Metric

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

BRL-CAD

VGR Performance Metric

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

LULESH

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

LULESH

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

Pennant

Test: leblancbig

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

Pennant

Test: sedovbig

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

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

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

ONNX Runtime

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

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

ONNX Runtime

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

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

ONNX Runtime

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

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

ONNX Runtime

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

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

ONNX Runtime

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

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

ONNX Runtime

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

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

PostgreSQL

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

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

OSPRay Studio

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

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

OSPRay Studio

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

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

OSPRay Studio

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

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

OSPRay Studio

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

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

OSPRay Studio

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

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

OSPRay Studio

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

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

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

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

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

OpenVINO

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

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

OpenVINO

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

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

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

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

Timed Linux Kernel Compilation

Build: defconfig

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

Timed Linux Kernel Compilation

Build: allmodconfig

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

Timed Godot Game Engine Compilation

Time To Compile

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

Timed Node.js Compilation

Time To Compile

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

Timed Gem5 Compilation

Time To Compile

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

Timed LLVM Compilation

Build System: Ninja

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

Timed Mesa Compilation

Time To Compile

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

Timed ImageMagick Compilation

Time To Compile

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

WRF

Input: conus 2.5km

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

m-queens

Time To Solve

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

CloverLeaf

Input: clover_bm64_short

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

CloverLeaf

Input: clover_bm16

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

GPAW

Input: Carbon Nanotube

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

NWChem

Input: C240 Buckyball

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

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

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

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

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

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

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

OpenRadioss

Model: Cell Phone Drop Test

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

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

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

OpenRadioss

Model: Chrysler Neon 1M

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

Blender

Blend File: BMW27 - Compute: CPU-Only

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

Blender

Blend File: Classroom - Compute: CPU-Only

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

Blender

Blend File: Fishy Cat - Compute: CPU-Only

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

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

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

Blender

Blend File: Barbershop - Compute: CPU-Only

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

Blender

Blend File: Junkshop - Compute: CPU-Only

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

Appleseed

Scene: Disney Material

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

Parallel BZIP2 Compression

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

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

Y-Cruncher

Pi Digits To Calculate: 500M

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

Y-Cruncher

Pi Digits To Calculate: 1B

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

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

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

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

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

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

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

Timed Node.js Compilation

CPU Power Consumption Monitor

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

Timed Gem5 Compilation

CPU Power Consumption Monitor

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

Timed LLVM Compilation

CPU Power Consumption Monitor

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

Timed Mesa Compilation

CPU Power Consumption Monitor

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

Timed ImageMagick Compilation

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

John The Ripper

CPU Power Consumption Monitor

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

John The Ripper

CPU Power Consumption Monitor

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

ClickHouse

CPU Power Consumption Monitor

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

PostgreSQL

CPU Power Consumption Monitor

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

Memcached

CPU Power Consumption Monitor

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

RocksDB

CPU Power Consumption Monitor

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

RocksDB

CPU Power Consumption Monitor

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

Speedb

CPU Power Consumption Monitor

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

Speedb

CPU Power Consumption Monitor

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

Coremark

CPU Power Consumption Monitor

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

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

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

WRF

CPU Power Consumption Monitor

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

ACES DGEMM

CPU Power Consumption Monitor

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

LULESH

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

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

m-queens

CPU Power Consumption Monitor

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

ASKAP

CPU Power Consumption Monitor

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

NAMD

CPU Power Consumption Monitor

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

NAMD

CPU Power Consumption Monitor

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

GROMACS

CPU Power Consumption Monitor

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

CloverLeaf

CPU Power Consumption Monitor

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

CloverLeaf

CPU Power Consumption Monitor

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

QuantLib

CPU Power Consumption Monitor

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

GPAW

CPU Power Consumption Monitor

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

High Performance Conjugate Gradient

CPU Power Consumption Monitor

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

Pennant

CPU Power Consumption Monitor

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

Pennant

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NWChem

CPU Power Consumption Monitor

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

Xcompact3d Incompact3d

CPU Power Consumption Monitor

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

BRL-CAD

CPU Power Consumption Monitor

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

OpenFOAM

CPU Power Consumption Monitor

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

OpenFOAM

CPU Power Consumption Monitor

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

OpenRadioss

CPU Power Consumption Monitor

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

OpenRadioss

CPU Power Consumption Monitor

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

OpenRadioss

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Appleseed

CPU Power Consumption Monitor

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

LuxCoreRender

CPU Power Consumption Monitor

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

LuxCoreRender

CPU Power Consumption Monitor

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

LuxCoreRender

CPU Power Consumption Monitor

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

Embree

CPU Power Consumption Monitor

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

Embree

CPU Power Consumption Monitor

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

Embree

CPU Power Consumption Monitor

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

Intel Open Image Denoise

CPU Power Consumption Monitor

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

Intel Open Image Denoise

CPU Power Consumption Monitor

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

Intel Open Image Denoise

CPU Power Consumption Monitor

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

OpenVKL

CPU Power Consumption Monitor

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

7-Zip Compression

CPU Power Consumption Monitor

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

Parallel BZIP2 Compression

CPU Power Consumption Monitor

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

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

CPU Power Consumption Monitor

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

Kvazaar

CPU Power Consumption Monitor

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

Kvazaar

CPU Power Consumption Monitor

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

Kvazaar

CPU Power Consumption Monitor

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

uvg266

CPU Power Consumption Monitor

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

uvg266

CPU Power Consumption Monitor

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

VVenC

CPU Power Consumption Monitor

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

VVenC

CPU Power Consumption Monitor

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

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

CPU Power Consumption Monitor

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

GraphicsMagick

CPU Power Consumption Monitor

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

GraphicsMagick

CPU Power Consumption Monitor

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

GraphicsMagick

CPU Power Consumption Monitor

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

Liquid-DSP

CPU Power Consumption Monitor

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

Liquid-DSP

CPU Power Consumption Monitor

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

Liquid-DSP

CPU Power Consumption Monitor

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

srsRAN Project

CPU Power Consumption Monitor

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

srsRAN Project

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

PyTorch

CPU Power Consumption Monitor

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

PyTorch

CPU Power Consumption Monitor

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

PyTorch

CPU Power Consumption Monitor

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

PyTorch

CPU Power Consumption Monitor

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

PyTorch

CPU Power Consumption Monitor

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

PyTorch

CPU Power Consumption Monitor

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

PyTorch

CPU Power Consumption Monitor

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

PyTorch

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

oneDNN

CPU Power Consumption Monitor

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

Xmrig

CPU Power Consumption Monitor

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

Stockfish

CPU Power Consumption Monitor

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

Y-Cruncher

CPU Power Consumption Monitor

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

Y-Cruncher

CPU Power Consumption Monitor

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

Aircrack-ng

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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

ONNX Runtime

CPU Power Consumption Monitor

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


Phoronix Test Suite v10.8.5