AMD EPYC 9754 Bergamo SMT On/Off Comparison

Benchmarks by Michael Larabel for a future article (post 19th) looking at SMT on/off comparison toggled via BIOS. SMT comparison testing of AMD EPYC 9754 128-Core CPUs on Titanite with Ubuntu 22.04 LTS.

HTML result view exported from: https://openbenchmarking.org/result/2307190-NE-BERGAMOSM27&gru&rdt.

ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC 9754 2PEPYC 9754 1P SMT On SMT Off SMT Off SMT On2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores / 512 Threads)AMD Titanite_4G (RTI1007B BIOS)AMD Device 14a41520GB2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 22.045.19.0-41-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.41.3.224GCC 11.3.0ext41024x7682 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores)AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores)768GBAMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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-build-config=bootstrap-lto-lean --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: 0xaa0010bPython Details- Python 3.10.6Security Details- EPYC 9754 2P: SMT On: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 9754 2P: SMT Off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 9754 1P: SMT Off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 9754 1P: SMT On: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

graph500: 26graph500: 26minibude: OpenMP - BM1minibude: OpenMP - BM2openssl: SHA256openssl: SHA512openssl: ChaCha20openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20-Poly1305minife: Smallnekrs: Kershawnekrs: TurboPipe Periodicopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragonminibude: OpenMP - BM1minibude: OpenMP - BM2heffte: c2c - FFTW - double - 512heffte: r2c - FFTW - double - 512heffte: c2c - FFTW - float - 512heffte: r2c - FFTW - float - 512libxsmm: 128libxsmm: 256xmrig: Monero - 1Mxmrig: Wownero - 1Moidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlytensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 512 - ResNet-50openvkl: vklBenchmark ISPCospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timedeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamaircrack-ng: luxcorerender: DLSC - CPUluxcorerender: Orange Juice - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Rainbow Colors and Prism - CPUsrsran: PUSCH Processor Benchmark, Throughput Totalcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingastcenc: Fastastcenc: Thoroughastcenc: Exhaustivestockfish: Total Timemysqlslap: 2048mysqlslap: 4096john-the-ripper: bcryptjohn-the-ripper: WPA PSKjohn-the-ripper: Blowfishjohn-the-ripper: MD5liquid-dsp: 256 - 256 - 512liquid-dsp: 512 - 256 - 512openssl: RSA4096graph500: 26graph500: 26npb: BT.Cnpb: CG.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cnpb: SP.Bnpb: SP.Cpgbench: 1000 - 800 - Read Onlyopenssl: RSA4096namd: ATPase Simulation - 327,506 Atomstoybrot: TBBtoybrot: OpenMPospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerpgbench: 1000 - 800 - Read Only - Average Latencyopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamcloverleaf: Lagrangian-Eulerian Hydrodynamicscp2k: H2O-DFT-LSspecfem3d: Mount St. Helensspecfem3d: Layered Halfspacespecfem3d: Tomographic Modelspecfem3d: Homogeneous Halfspacespecfem3d: Water-layered Halfspacebuild-gem5: Time To Compilebuild-godot: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-nodejs: Time To Compileprimesieve: 1e12primesieve: 1e13helsing: 14 digitblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyappleseed: Emilyappleseed: Disney Materialappleseed: Material TesterEPYC 9754 2PEPYC 9754 1P SMT On SMT Off SMT Off SMT On17240300001571100000253.123315.52432792603851310604965520313175499540272339890700107201931707032790981736011062774.2121.0340.6740.905810.41235.6513214.2011299.321159.9922954.449889.61168372.89133931.53210.0714255.98646328.0697888.085109.645207.197221.765433.6014976.76112.686533.7142082.74.764.782.351225.411770.91329.22124.98538.52172.36172049.132849.231152.731853.8295139.65902627.3142556.9411797.62481868.33101190.7168242.9589602.2602139.882118.6134.459.8619.0217891.49258201353957610.1137134.885315.930558238692458054540786015245334098503487933325444000003330166667108490.5960471000672541000491231.8367554.7423705.40211432.899849.01591505.17249109.09236490.76224243.288278783782091.80.10646201433214824955827698156197817157319253184550.974526.981559.951552.1511.03270.934.835.6455.1211.006.460.621.08902.859348.6206229.1624159.886168.3638107.1835521.3108211.4848902.779221.652143.5133.9066750959.9974475703.7827417984.7278301489.778381437152.586100.79020.344145.929107.721199.36593.2711.50811.12027.2807.1216.289.8769.0321.75164.56716420788800001815160000439.067439.59722226942886710223223359011004533945702307524535457199823414886378448957052353798.6121.0841.0540.206242.68235.3713141.5111373.951174.9922955.649878.88142135.58118225.55146.2051178.304610976.68210989.938112.413210.933223.584430.2654505.56373.085946.0100754.34.354.312.091581.661908.76452.99146.74634.13189.40153041.656741.553144.288944.7104182.44532730.4980590.87891058.67762409.80351541.9512290.7562770.1392182.5974128050.21914.4525.116.9713.5136573.8771462913091693.3961127.208814.409944702314359157931704613015003208853022166725426333332610933333113251.41075900000770180000536518.7466822.9725983.74224178.108635.30658754.21268721.05246272.79231041.577859683598946.30.13969297636716316457631004620133102322054512127242381.018526.461545.231579.1410.26271.244.865.6154.4211.106.470.671.13676.812845.8765212.6821118.128551.810381.1994426.7362162.0191676.434215.152363.5792.6301225997.4707729302.7092054283.4518301696.218069257148.376100.24018.474118.09999.215198.75093.9521.16011.15250.0548.4520.2411.7285.5427.47159.90661440.570691265.885808928320000893624000234.684236.12811141455728051804333637550700307433115283892806399703462188339278268998751741.05734266667258608333362.1828.7428.832784.67119.016744.665837.62545.1311710.595118.29113162.2971673.8585.2893107.36085867.1085903.20535.404967.9907128.597248.5572696.53813.451218.963182.23.573.571.721375.331526.81525.39121.47429.16123.88110723.733323.721025.512125.717896.96971780.4421246.3732504.35781275.7707812.1023134.5717404.233897.0913149056.95313.2720.988.8814.3720430.95927415104701278.646668.30727.3147272722940783695163220676218163263167516671313933333141470000056647.3493535000363750000298801.4448672.2414274.53147448.725315.15289518.14136942.13161475.24133415.428777221799293.00.20595559062421127114613581800435926182693653921666433710.917513.231105.961102.8211.49268.824.745.4758.7110.916.240.701.30644.976835.5549259.2779125.446749.511177.8148468.7809156.0563645.00199.274957.6865.03003158015.0281219294.9372655066.09275029913.419454501148.484102.58822.984177.758119.576213.907116.1221.79621.13257.95615.1538.4420.47147.2250.01123.29839638.492263167.900597880249000857890000237.763238.905163633625553530058793306593468579871169673735557101253776621046241583732051784.15808636667253840692360.7726.6126.571464.29117.885311.486067.78582.0811794.326148.89120515.1185400.88125.5813157.65045944.0625972.64334.845166.3418128.124245.5422713.43331.724409.474803.63.623.621.741422.081628.80504.09118.45416.03122.77139630.850730.816531.924532.675073.38071376.2142240.8667417.1186968.6267624.4789126.9310316.046673.2077171120.35416.3424.4712.1820.888389.07262717917871190.754975.08318.1743365034349780655216064810375216115203126671696766667178370000054195.1445912000333445000292243.6145686.8813264.79140791.525300.29279662.55128129.56149355.54131909.918555691890935.30.207023591408186187310321375927538139632788516484329720.9521049.312377.792378.0743.73541.2912.0710.53110.0010.8410.400.831.21859.865346.4318267.7088152.989565.9747102.2265499.5866201.6258859.87712.005012.266.21637984915.9649316887.4806747069.40434850017.194492779161.648105.79726.225227.517125.364211.079113.7041.94421.28650.47312.7731.1216.49116.5439.27122.58770944.30492166.676131OpenBenchmarking.org

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringSMT OnSMT Off140280420560700Min: 21.61 / Avg: 460.57 / Max: 792.38Min: 97.83 / Avg: 446.01 / Max: 702.85Min: 10.61 / Avg: 238.75 / Max: 362.1Min: 10.52 / Avg: 248.93 / Max: 397.25

Graph500

Scale: 26

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbfs max_TEPS, More Is BetterGraph500 3.0Scale: 26SMT OnSMT Off400M800M1200M1600M2000M172403000020788800009283200008802490001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

Graph500

Scale: 26

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbfs median_TEPS, More Is BetterGraph500 3.0Scale: 26SMT OnSMT Off400M800M1200M1600M2000M157110000018151600008936240008578900001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

miniBUDE

Implementation: OpenMP - Input Deck: BM1

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1SMT OnSMT Off100200300400500SE +/- 0.21, N = 9SE +/- 7.21, N = 15SE +/- 0.10, N = 9SE +/- 0.05, N = 9253.12439.07234.68237.761. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1SMT OnSMT Off0.44210.88421.32631.76842.21050.9401.9651.5241.525

miniBUDE

Implementation: OpenMP - Input Deck: BM2

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2SMT OnSMT Off0.21350.4270.64050.8541.06750.8190.9490.8810.883

miniBUDE

Implementation: OpenMP - Input Deck: BM2

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2SMT OnSMT Off100200300400500SE +/- 0.43, N = 4SE +/- 6.02, N = 12SE +/- 0.25, N = 3SE +/- 0.01, N = 3315.52439.60236.13238.911. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenSSL

Algorithm: SHA256

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256SMT OnSMT Off110M220M330M440M550M485100025.27368054429.03390668971.64491268818.21

OpenSSL

Algorithm: SHA256

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256SMT OnSMT Off70000M140000M210000M280000M350000MSE +/- 207719324.78, N = 3SE +/- 224959781.68, N = 3SE +/- 15184699.42, N = 3SE +/- 161352968.33, N = 33279260385132222694288671114145572801636336255531. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512SMT OnSMT Off20000M40000M60000M80000M100000MSE +/- 22577791.79, N = 3SE +/- 660141733.06, N = 3SE +/- 19506083.54, N = 3SE +/- 4276543.39, N = 310604965520310223223359051804333637530058793301. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512SMT OnSMT Off30M60M90M120M150M156820493.54150591857.13155713911.66157871758.84

OpenSSL

Algorithm: ChaCha20

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20SMT OnSMT Off400M800M1200M1600M2000M1804203926.061666389521.271787936411.251812397903.61

OpenSSL

Algorithm: AES-128-GCM

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMSMT OnSMT Off700M1400M2100M2800M3500M3375379415.533357766493.213373392798.473408107334.73

OpenSSL

Algorithm: AES-256-GCM

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMSMT OnSMT Off600M1200M1800M2400M3000M2919004979.802960156985.812959773610.692960716545.71

OpenSSL

Algorithm: ChaCha20-Poly1305

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305SMT OnSMT Off300M600M900M1200M1500M1256483723.091185929906.411218755474.841284331827.02

OpenSSL

Algorithm: ChaCha20

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20SMT OnSMT Off300000M600000M900000M1200000M1500000MSE +/- 46014499.85, N = 3SE +/- 107897909.37, N = 3SE +/- 70893114.79, N = 3SE +/- 23916253.09, N = 3131754995402711004533945705507003074336593468579871. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-128-GCM

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMSMT OnSMT Off500000M1000000M1500000M2000000M2500000MSE +/- 4494053056.14, N = 3SE +/- 4718005576.14, N = 3SE +/- 772883363.35, N = 3SE +/- 404585301.69, N = 323398907001072307524535457115283892806311696737355571. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-256-GCM

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMSMT OnSMT Off400000M800000M1200000M1600000M2000000MSE +/- 676471418.80, N = 3SE +/- 2904032106.06, N = 3SE +/- 917614258.55, N = 3SE +/- 2018584981.53, N = 32019317070327199823414886399703462188310125377662101. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305SMT OnSMT Off200000M400000M600000M800000M1000000MSE +/- 267574958.87, N = 3SE +/- 39882779.79, N = 3SE +/- 86138373.27, N = 3SE +/- 15599558.91, N = 39098173601107844895705233927826899874624158373201. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

miniFE

Problem Size: Small

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallSMT OnSMT Off90180270360450268.29236.18430.07419.54

miniFE

Problem Size: Small

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallSMT OnSMT Off13K26K39K52K65KSE +/- 411.42, N = 5SE +/- 478.13, N = 5SE +/- 25.22, N = 5SE +/- 52.11, N = 562774.253798.651741.051784.11. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi

nekRS

Input: Kershaw

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: KershawSMT OffSMT On1200M2400M3600M4800M6000MSE +/- 37190783.06, N = 3SE +/- 8226739.60, N = 3573426666758086366671. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

nekRS

Input: TurboPipe Periodic

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe PeriodicSMT OffSMT On600M1200M1800M2400M3000MSE +/- 87729075.59, N = 15SE +/- 62315945.32, N = 13258608333325384069231. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

nekRS

Input: Kershaw

OpenBenchmarking.orgflops/rank Per Watt, More Is BetternekRS 23.0Input: KershawSMT OffSMT On4M8M12M16M20M19236505.5119786057.99

nekRS

Input: TurboPipe Periodic

OpenBenchmarking.orgflops/rank Per Watt, More Is BetternekRS 23.0Input: TurboPipe PeriodicSMT OffSMT On2M4M6M8M10M8992432.848806106.19

OpenVINO

Model: Face Detection FP16 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUSMT OnSMT Off306090120150SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3121.03121.0862.1860.771. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP16 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUSMT OnSMT Off918273645SE +/- 0.14, N = 3SE +/- 0.29, N = 3SE +/- 0.23, N = 9SE +/- 0.20, N = 1240.6741.0528.7426.611. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP32 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUSMT OnSMT Off918273645SE +/- 0.22, N = 3SE +/- 0.14, N = 3SE +/- 0.29, N = 5SE +/- 0.15, N = 1540.9040.2028.8326.571. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUSMT OnSMT Off13002600390052006500SE +/- 93.68, N = 15SE +/- 87.31, N = 13SE +/- 25.69, N = 13SE +/- 21.50, N = 145810.416242.682784.671464.291. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUSMT OnSMT Off50100150200250SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3235.65235.37119.01117.881. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUSMT OnSMT Off3K6K9K12K15KSE +/- 7.09, N = 3SE +/- 2.74, N = 3SE +/- 3.11, N = 3SE +/- 103.73, N = 1513214.2013141.516744.665311.481. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUSMT OnSMT Off2K4K6K8K10KSE +/- 9.34, N = 3SE +/- 2.58, N = 3SE +/- 11.25, N = 3SE +/- 0.58, N = 311299.3211373.955837.626067.781. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUSMT OnSMT Off30060090012001500SE +/- 7.44, N = 3SE +/- 4.51, N = 3SE +/- 4.46, N = 15SE +/- 6.51, N = 151159.991174.99545.13582.081. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUSMT OnSMT Off5K10K15K20K25KSE +/- 16.03, N = 3SE +/- 15.58, N = 3SE +/- 13.11, N = 3SE +/- 2.13, N = 322954.4422955.6411710.5911794.321. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUSMT OnSMT Off2K4K6K8K10KSE +/- 11.31, N = 3SE +/- 10.15, N = 3SE +/- 5.00, N = 3SE +/- 48.86, N = 159889.619878.885118.296148.891. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUSMT OnSMT Off40K80K120K160K200KSE +/- 676.62, N = 3SE +/- 158.47, N = 3SE +/- 202.90, N = 3SE +/- 390.62, N = 3168372.89142135.58113162.29120515.111. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUSMT OnSMT Off30K60K90K120K150KSE +/- 602.14, N = 3SE +/- 420.06, N = 3SE +/- 126.57, N = 3SE +/- 192.97, N = 3133931.53118225.5571673.8585400.881. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

Embree

Binary: Pathtracer ISPC - Model: Crown

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownSMT OnSMT Off50100150200250SE +/- 0.16, N = 9SE +/- 0.13, N = 7SE +/- 0.05, N = 6SE +/- 0.13, N = 7210.07146.2185.29125.58

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonSMT OnSMT Off60120180240300SE +/- 0.48, N = 9SE +/- 0.26, N = 8SE +/- 0.09, N = 6SE +/- 0.09, N = 8255.99178.30107.36157.65

Embree

Binary: Pathtracer ISPC - Model: Crown

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownSMT OnSMT Off0.15030.30060.45090.60120.75150.6680.4200.4160.655

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonSMT OnSMT Off0.20810.41620.62430.83241.04050.8950.5700.5840.925

miniBUDE

Implementation: OpenMP - Input Deck: BM1

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1SMT OnSMT Off2K4K6K8K10KSE +/- 5.35, N = 9SE +/- 180.32, N = 15SE +/- 2.53, N = 9SE +/- 1.30, N = 96328.0710976.685867.115944.061. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2SMT OnSMT Off2K4K6K8K10KSE +/- 10.75, N = 4SE +/- 150.60, N = 12SE +/- 6.13, N = 3SE +/- 0.21, N = 37888.0910989.945903.215972.641. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512SMT OnSMT Off306090120150SE +/- 0.77, N = 3SE +/- 1.48, N = 3SE +/- 2.10, N = 15SE +/- 2.09, N = 15109.65112.4135.4034.851. (CXX) g++ options: -O3

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512SMT OnSMT Off0.15570.31140.46710.62280.77850.5480.5690.6920.682

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512SMT OnSMT Off0.33910.67821.01731.35641.69551.2891.2631.5071.445

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512SMT OnSMT Off50100150200250SE +/- 0.28, N = 5SE +/- 1.62, N = 5SE +/- 3.41, N = 15SE +/- 3.14, N = 15207.20210.9367.9966.341. (CXX) g++ options: -O3

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512SMT OnSMT Off0.05670.11340.17010.22680.28350.2390.2520.1440.140

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512SMT OnSMT Off50100150200250SE +/- 1.37, N = 5SE +/- 1.28, N = 5SE +/- 0.01, N = 4SE +/- 0.15, N = 4221.77223.58128.60128.121. (CXX) g++ options: -O3

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512SMT OnSMT Off0.11720.23440.35160.46880.5860.5070.5210.2960.284

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512SMT OnSMT Off90180270360450SE +/- 0.86, N = 7SE +/- 0.77, N = 6SE +/- 0.09, N = 5SE +/- 0.52, N = 5433.60430.27248.56245.541. (CXX) g++ options: -O3

libxsmm

M N K: 128

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOPS/s Per Watt, More Is Betterlibxsmm 2-1.17-3645M N K: 128SMT OnSMT Off4812162015.4113.8913.2113.24

libxsmm

M N K: 256

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOPS/s Per Watt, More Is Betterlibxsmm 2-1.17-3645M N K: 256SMT OnSMT Off51015202519.0419.9218.1215.78

libxsmm

M N K: 128

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128SMT OnSMT Off11002200330044005500SE +/- 62.14, N = 4SE +/- 114.55, N = 9SE +/- 19.26, N = 3SE +/- 0.99, N = 34976.74505.52696.52713.41. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

libxsmm

M N K: 256

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 256SMT OnSMT Off14002800420056007000SE +/- 1.43, N = 3SE +/- 66.66, N = 9SE +/- 16.75, N = 3SE +/- 2.32, N = 36112.66373.03813.43331.71. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2

Xmrig

Variant: Monero - Hash Count: 1M

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MSMT OnSMT Off4080120160200177.29185.91191.10109.99

Xmrig

Variant: Wownero - Hash Count: 1M

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MSMT OnSMT Off70140210280350323.17225.36235.83279.93

Xmrig

Variant: Monero - Hash Count: 1M

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MSMT OnSMT Off20K40K60K80K100KSE +/- 871.70, N = 4SE +/- 83.35, N = 4SE +/- 513.99, N = 3SE +/- 587.76, N = 1586533.785946.051218.924409.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Wownero - Hash Count: 1M

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MSMT OnSMT Off30K60K90K120K150KSE +/- 677.82, N = 5SE +/- 741.13, N = 4SE +/- 13.77, N = 4SE +/- 513.11, N = 15142082.7100754.363182.274803.61. (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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlySMT OnSMT Off1.0712.1423.2134.2845.355SE +/- 0.01, N = 7SE +/- 0.03, N = 7SE +/- 0.02, N = 7SE +/- 0.00, N = 74.764.353.573.62

Intel Open Image Denoise

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlySMT OnSMT Off1.07552.1513.22654.3025.3775SE +/- 0.01, N = 7SE +/- 0.03, N = 15SE +/- 0.02, N = 15SE +/- 0.00, N = 74.784.313.573.62

Intel Open Image Denoise

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.0Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlySMT OnSMT Off0.00470.00940.01410.01880.02350.0160.0150.0210.021

Intel Open Image Denoise

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.0Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlySMT OnSMT Off0.00470.00940.01410.01880.02350.0160.0150.0210.021

Intel Open Image Denoise

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.0Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlySMT OnSMT Off0.00180.00360.00540.00720.0090.0060.0060.0080.008

Intel Open Image Denoise

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlySMT OnSMT Off0.52881.05761.58642.11522.644SE +/- 0.00, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 4SE +/- 0.00, N = 42.352.091.721.74

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetSMT OnSMT Off30060090012001500SE +/- 14.23, N = 15SE +/- 11.49, N = 15SE +/- 8.29, N = 3SE +/- 3.81, N = 31225.411581.661375.331422.08

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetSMT OnSMT Off400800120016002000SE +/- 15.22, N = 15SE +/- 18.22, N = 3SE +/- 3.13, N = 3SE +/- 1.79, N = 31770.911908.761526.811628.80

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50SMT OnSMT Off0.12290.24580.36870.49160.61450.3190.3610.5460.536

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetSMT OnSMT Off0.42280.84561.26841.69122.1141.2271.3911.8791.767

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50SMT OnSMT Off0.12510.25020.37530.50040.62550.4090.4290.5560.544

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetSMT OnSMT Off110220330440550SE +/- 1.69, N = 3SE +/- 5.52, N = 4SE +/- 0.35, N = 3SE +/- 3.39, N = 3329.22452.99525.39504.09

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetSMT OnSMT Off2468103.6654.2067.1777.058

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetSMT OnSMT Off2468104.5844.5407.1596.922

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetSMT OnSMT Off0.49860.99721.49581.99442.4930.8591.0992.2162.072

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50SMT OnSMT Off306090120150SE +/- 1.70, N = 3SE +/- 0.68, N = 3SE +/- 1.45, N = 12SE +/- 1.07, N = 12124.98146.74121.47118.45

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetSMT OnSMT Off140280420560700SE +/- 4.51, N = 15SE +/- 6.73, N = 3SE +/- 5.79, N = 12SE +/- 4.74, N = 12538.52634.13429.16416.03

TensorFlow

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50SMT OnSMT Off4080120160200SE +/- 0.59, N = 3SE +/- 0.13, N = 3SE +/- 1.35, N = 3SE +/- 0.90, N = 3172.36189.40123.88122.77

OpenVKL

Benchmark: vklBenchmark ISPC

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCSMT OnSMT Off1.31692.63383.95075.26766.58453.6763.5124.9555.853

OpenVKL

Benchmark: vklBenchmark ISPC

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCSMT OnSMT Off400800120016002000SE +/- 6.06, N = 3SE +/- 1.33, N = 3SE +/- 0.33, N = 3SE +/- 1.86, N = 31720153011071396

OSPRay

Benchmark: particle_volume/ao/real_time

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeSMT OnSMT Off1122334455SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 349.1341.6623.7330.85

OSPRay

Benchmark: particle_volume/scivis/real_time

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeSMT OnSMT Off1122334455SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 349.2341.5523.7230.82

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeSMT OnSMT Off1224364860SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 352.7344.2925.5131.92

OSPRay

Benchmark: particle_volume/ao/real_time

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeSMT OnSMT Off0.02390.04780.07170.09560.11950.0890.0780.0910.106

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeSMT OnSMT Off1224364860SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 353.8344.7125.7232.68

OSPRay

Benchmark: particle_volume/scivis/real_time

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeSMT OnSMT Off0.02860.05720.08580.11440.1430.1020.0900.1120.127

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeSMT OnSMT Off0.02660.05320.07980.10640.1330.0950.0820.1010.118

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeSMT OnSMT Off0.02590.05180.07770.10360.12950.0920.0810.1000.115

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamSMT OnSMT Off4080120160200SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 3139.66182.4596.9773.38

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamSMT OnSMT Off6001200180024003000SE +/- 6.95, N = 3SE +/- 33.47, N = 15SE +/- 3.84, N = 3SE +/- 1.21, N = 32627.312730.501780.441376.21

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off130260390520650SE +/- 6.10, N = 15SE +/- 11.89, N = 15SE +/- 8.20, N = 15SE +/- 7.96, N = 15556.94590.88246.37240.87

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamSMT OnSMT Off2004006008001000SE +/- 0.32, N = 3SE +/- 0.90, N = 3SE +/- 5.07, N = 15SE +/- 0.46, N = 3797.621058.68504.36417.12

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamSMT OnSMT Off5001000150020002500SE +/- 1.60, N = 3SE +/- 1.63, N = 3SE +/- 5.02, N = 3SE +/- 0.74, N = 31868.332409.801275.77968.63

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamSMT OnSMT Off30060090012001500SE +/- 1.02, N = 3SE +/- 1.38, N = 3SE +/- 3.93, N = 3SE +/- 0.29, N = 31190.721541.95812.10624.48

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamSMT OnSMT Off60120180240300SE +/- 0.12, N = 3SE +/- 2.51, N = 3SE +/- 2.61, N = 15SE +/- 0.15, N = 3242.96290.76134.57126.93

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off170340510680850SE +/- 0.72, N = 3SE +/- 0.92, N = 3SE +/- 2.15, N = 3SE +/- 1.02, N = 3602.26770.14404.23316.05

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off4080120160200SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 3139.88182.6097.0973.21

Aircrack-ng

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7SMT OffSMT On40K80K120K160K200KSE +/- 1109.71, N = 3SE +/- 1020.90, N = 3SE +/- 101.44, N = 3128050.22149056.95171120.351. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

Aircrack-ng

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.7SMT OffSMT On160320480640800352.95649.61729.35

LuxCoreRender

Scene: DLSC - Acceleration: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUSMT OnSMT Off0.01220.02440.03660.04880.0610.0360.0310.0470.054

LuxCoreRender

Scene: DLSC - Acceleration: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUSMT OnSMT Off510152025SE +/- 0.20, N = 4SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 318.6114.4513.2716.34

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUSMT OnSMT Off816243240SE +/- 1.35, N = 15SE +/- 0.60, N = 15SE +/- 0.03, N = 3SE +/- 0.30, N = 1534.4525.1120.9824.47

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUSMT OnSMT Off3691215SE +/- 0.11, N = 15SE +/- 0.11, N = 12SE +/- 0.08, N = 8SE +/- 0.09, N = 159.866.978.8812.18

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUSMT OnSMT Off510152025SE +/- 0.03, N = 5SE +/- 0.35, N = 15SE +/- 0.04, N = 4SE +/- 0.03, N = 519.0213.5114.3720.88

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUSMT OnSMT Off0.01850.0370.05550.0740.09250.0620.0500.0710.082

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUSMT OnSMT Off0.00970.01940.02910.03880.04850.0220.0170.0360.043

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUSMT OnSMT Off0.03310.06620.09930.13240.16550.0680.0480.1050.147

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Total

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.5Test: PUSCH Processor Benchmark, Throughput TotalSMT OnSMT Off2040608010031.9070.6478.4132.09

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Total

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.5Test: PUSCH Processor Benchmark, Throughput TotalSMT OnSMT Off8K16K24K32K40KSE +/- 831.80, N = 15SE +/- 211.99, N = 3SE +/- 54.33, N = 3SE +/- 50.60, N = 317891.436573.820430.98389.01. (CXX) g++ options: -march=native -mfma -O3 -fno-trapping-math -fno-math-errno -lgtest

7-Zip Compression

Test: Decompression Rating

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingSMT OnSMT Off60012001800240030002700.351933.662063.782973.58

7-Zip Compression

Test: Compression Rating

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingSMT OnSMT Off200K400K600K800K1000KSE +/- 5539.49, N = 3SE +/- 4721.80, N = 3SE +/- 4792.89, N = 3SE +/- 1345.49, N = 39258207714625927417262711. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingSMT OnSMT Off300K600K900K1200K1500KSE +/- 5499.45, N = 3SE +/- 1897.81, N = 3SE +/- 429.17, N = 3SE +/- 1608.29, N = 313539579130915104707917871. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

ASTC Encoder

Preset: Fast

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastSMT OnSMT Off30060090012001500SE +/- 1.29, N = 5SE +/- 1.25, N = 5SE +/- 1.20, N = 7SE +/- 1.79, N = 6610.11693.401278.651190.751. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughSMT OnSMT Off306090120150SE +/- 0.22, N = 6SE +/- 0.05, N = 6SE +/- 0.01, N = 6SE +/- 0.02, N = 6134.89127.2168.3175.081. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveSMT OnSMT Off48121620SE +/- 0.0081, N = 6SE +/- 0.0257, N = 6SE +/- 0.0028, N = 5SE +/- 0.0006, N = 515.930514.40997.31478.17431. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Fast

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: FastSMT OnSMT Off36912152.4702.95410.8989.671

ASTC Encoder

Preset: Thorough

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ThoroughSMT OnSMT Off0.13320.26640.39960.53280.6660.5920.5770.5070.561

ASTC Encoder

Preset: Exhaustive

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ExhaustiveSMT OnSMT Off0.01260.02520.03780.05040.0630.0560.0520.0420.047

Stockfish

Total Time

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 15Total TimeSMT OnSMT Off200K400K600K800K1000K896399.09746293.69881021.761117842.33

Stockfish

Total Time

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeSMT OnSMT Off120M240M360M480M600MSE +/- 9265130.36, N = 15SE +/- 6859221.31, N = 12SE +/- 5762415.88, N = 15SE +/- 7021012.10, N = 125823869244470231432727229403650343491. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

MariaDB

Clients: 2048

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgQueries Per Second Per Watt, More Is BetterMariaDB 11.0.1Clients: 2048SMT OnSMT Off2468102.3652.3226.3636.371

MariaDB

Clients: 2048

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 2048SMT OnSMT Off2004006008001000SE +/- 8.04, N = 3SE +/- 0.73, N = 3SE +/- 1.06, N = 3SE +/- 1.81, N = 35805917837801. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl

MariaDB

Clients: 4096

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.0.1Clients: 4096SMT OnSMT Off150300450600750SE +/- 5.45, N = 6SE +/- 1.48, N = 3SE +/- 3.99, N = 3SE +/- 8.08, N = 35455796956551. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl

MariaDB

Clients: 4096

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgQueries Per Second Per Watt, More Is BetterMariaDB 11.0.1Clients: 4096SMT OnSMT Off1.26952.5393.80855.0786.34752.1762.2495.6425.367

John The Ripper

Test: bcrypt

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptSMT OnSMT Off90K180K270K360K450KSE +/- 2298.36, N = 3SE +/- 1964.45, N = 3SE +/- 33.22, N = 3SE +/- 92.54, N = 34078603170461632202160641. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

John The Ripper

Test: bcrypt

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptSMT OnSMT Off170340510680850736.92585.47642.02770.87

John The Ripper

Test: WPA PSK

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKSMT OnSMT Off300K600K900K1200K1500KSE +/- 18163.51, N = 15SE +/- 15887.63, N = 4SE +/- 6933.79, N = 3SE +/- 505.98, N = 3152453313015006762188103751. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

John The Ripper

Test: Blowfish

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishSMT OnSMT Off90K180K270K360K450KSE +/- 3726.56, N = 3SE +/- 1247.49, N = 3SE +/- 12.67, N = 3SE +/- 117.40, N = 34098503208851632632161151. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

John The Ripper

Test: MD5

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD5SMT OnSMT Off7M14M21M28M35MSE +/- 83819.91, N = 3SE +/- 140717.61, N = 3SE +/- 35950.58, N = 3SE +/- 52818.35, N = 3348793333022166716751667203126671. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

John The Ripper

Test: WPA PSK

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKSMT OnSMT Off50010001500200025002235.812047.362240.312324.37

John The Ripper

Test: Blowfish

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishSMT OnSMT Off170340510680850726.35582.13632.58768.10

John The Ripper

Test: MD5

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: MD5SMT OnSMT Off15K30K45K60K75K67440.8057347.3156420.6369625.90

Liquid-DSP

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512SMT OnSMT Off500M1000M1500M2000M2500MSE +/- 1877054.43, N = 3SE +/- 1068228.02, N = 3SE +/- 592546.29, N = 3SE +/- 470224.53, N = 325444000002542633333131393333316967666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512SMT OnSMT Off1.3M2.6M3.9M5.2M6.5M4829201.804850824.915048094.726258723.14

Liquid-DSP

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 512 - Buffer Length: 256 - Filter Length: 512SMT OnSMT Off700M1400M2100M2800M3500MSE +/- 569600.25, N = 3SE +/- 3555434.03, N = 3SE +/- 2946183.97, N = 3SE +/- 1814754.35, N = 333301666672610933333141470000017837000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 512 - Buffer Length: 256 - Filter Length: 512SMT OnSMT Off1.4M2.8M4.2M5.6M7M6142943.895062810.805445501.586669884.78

OpenSSL

Algorithm: RSA4096

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096SMT OnSMT Off20K40K60K80K100KSE +/- 3.93, N = 3SE +/- 3.85, N = 3SE +/- 1.80, N = 3SE +/- 16.66, N = 3108490.5113251.456647.354195.11. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Graph500

Scale: 26

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgsssp max_TEPS Per Watt, More Is BetterGraph500 3.0Scale: 26SMT OnSMT Off400K800K1200K1600K2000K1513281.141664973.761719832.821520544.67

Graph500

Scale: 26

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgsssp max_TEPS, More Is BetterGraph500 3.0Scale: 26SMT OnSMT Off200M400M600M800M1000M96047100010759000004935350004459120001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

Graph500

Scale: 26

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgsssp median_TEPS, More Is BetterGraph500 3.0Scale: 26SMT OnSMT Off160M320M480M640M800M6725410007701800003637500003334450001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

NAS Parallel Benchmarks

Test / Class: CG.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CSMT OnSMT Off70140210280350246.35257.05340.22304.95

NAS Parallel Benchmarks

Test / Class: EP.D

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DSMT OnSMT Off153045607559.2969.1362.2555.59

NAS Parallel Benchmarks

Test / Class: FT.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CSMT OnSMT Off2004006008001000823.02896.921105.801044.17

NAS Parallel Benchmarks

Test / Class: IS.D

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DSMT OnSMT Off81624324031.2428.0735.4035.70

NAS Parallel Benchmarks

Test / Class: LU.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CSMT OnSMT Off50010001500200025001821.352122.501504.971448.63

NAS Parallel Benchmarks

Test / Class: MG.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CSMT OnSMT Off300600900120015001433.881554.081502.141449.06

NAS Parallel Benchmarks

Test / Class: SP.B

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BSMT OnSMT Off300600900120015001034.031082.901347.261171.42

NAS Parallel Benchmarks

Test / Class: SP.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CSMT OnSMT Off140280420560700567.82602.82657.40625.95

NAS Parallel Benchmarks

Test / Class: BT.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CSMT OnSMT Off110K220K330K440K550KSE +/- 4903.75, N = 15SE +/- 3792.90, N = 12SE +/- 269.21, N = 5SE +/- 396.74, N = 5491231.83536518.74298801.44292243.611. (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 4.1.2

NAS Parallel Benchmarks

Test / Class: CG.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CSMT OnSMT Off14K28K42K56K70KSE +/- 348.18, N = 8SE +/- 568.39, N = 8SE +/- 285.31, N = 8SE +/- 441.00, N = 1567554.7466822.9748672.2445686.881. (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 4.1.2

NAS Parallel Benchmarks

Test / Class: EP.D

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DSMT OnSMT Off6K12K18K24K30KSE +/- 413.32, N = 15SE +/- 940.02, N = 12SE +/- 54.02, N = 5SE +/- 214.86, N = 1523705.4025983.7414274.5313264.791. (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 4.1.2

NAS Parallel Benchmarks

Test / Class: FT.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CSMT OnSMT Off50K100K150K200K250KSE +/- 1757.80, N = 9SE +/- 2978.54, N = 13SE +/- 93.32, N = 8SE +/- 1029.98, N = 8211432.89224178.10147448.72140791.521. (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 4.1.2

NAS Parallel Benchmarks

Test / Class: IS.D

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DSMT OnSMT Off2K4K6K8K10KSE +/- 104.60, N = 15SE +/- 105.10, N = 15SE +/- 29.88, N = 6SE +/- 27.01, N = 69849.018635.305315.155300.291. (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 4.1.2

NAS Parallel Benchmarks

Test / Class: BT.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CSMT OnSMT Off300600900120015001236.191408.281382.301328.18

NAS Parallel Benchmarks

Test / Class: LU.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CSMT OnSMT Off140K280K420K560K700KSE +/- 7199.59, N = 15SE +/- 4916.03, N = 15SE +/- 1485.96, N = 6SE +/- 2132.06, N = 6591505.17658754.21289518.14279662.551. (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 4.1.2

NAS Parallel Benchmarks

Test / Class: MG.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CSMT OnSMT Off60K120K180K240K300KSE +/- 1284.96, N = 11SE +/- 599.41, N = 10SE +/- 104.98, N = 10SE +/- 296.36, N = 10249109.09268721.05136942.13128129.561. (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 4.1.2

NAS Parallel Benchmarks

Test / Class: SP.B

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BSMT OnSMT Off50K100K150K200K250KSE +/- 732.52, N = 9SE +/- 8884.57, N = 15SE +/- 885.17, N = 9SE +/- 1110.64, N = 9236490.76246272.79161475.24149355.541. (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 4.1.2

NAS Parallel Benchmarks

Test / Class: SP.C

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CSMT OnSMT Off50K100K150K200K250KSE +/- 1293.24, N = 6SE +/- 1880.70, N = 6SE +/- 228.86, N = 4SE +/- 290.95, N = 4224243.28231041.57133415.42131909.911. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

PostgreSQL

Scaling Factor: 1000 - Clients: 800 - Mode: Read Only

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1000 - Clients: 800 - Mode: Read OnlySMT OnSMT Off200K400K600K800K1000KSE +/- 23693.25, N = 12SE +/- 4149.87, N = 3SE +/- 21185.07, N = 12SE +/- 45813.37, N = 98278787859688777228555691. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenSSL

Algorithm: RSA4096

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: RSA4096SMT OnSMT Off140028004200560070006122.576002.696318.786020.72

OpenSSL

Algorithm: RSA4096

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096SMT OnSMT Off800K1600K2400K3200K4000KSE +/- 163.02, N = 3SE +/- 1067.40, N = 3SE +/- 1031.37, N = 3SE +/- 405.88, N = 33782091.83598946.31799293.01890935.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

NAMD

ATPase Simulation - 327,506 Atoms

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsSMT OnSMT Off0.04660.09320.13980.18640.233SE +/- 0.00040, N = 3SE +/- 0.00135, N = 5SE +/- 0.00018, N = 4SE +/- 0.00095, N = 40.106460.139690.205950.20702

toyBrot Fractal Generator

Implementation: TBB

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBBSMT OnSMT Off12002400360048006000SE +/- 23.04, N = 15SE +/- 31.80, N = 15SE +/- 43.30, N = 15SE +/- 21.75, N = 920142976559035911. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc

toyBrot Fractal Generator

Implementation: OpenMP

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMPSMT OnSMT Off13002600390052006500SE +/- 23.29, N = 12SE +/- 53.03, N = 15SE +/- 0.20, N = 7SE +/- 17.08, N = 833213671624240811. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc

OSPRay Studio

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerSMT OnSMT Off2004006008001000SE +/- 2.85, N = 3SE +/- 0.58, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 348263111278611. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerSMT OnSMT Off2004006008001000SE +/- 1.45, N = 3SE +/- 0.33, N = 3SE +/- 1.53, N = 3SE +/- 0.88, N = 349564511468731. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerSMT OnSMT Off30060090012001500SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3582763135810321. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerSMT OnSMT Off4K8K12K16K20KSE +/- 7.80, N = 3SE +/- 14.52, N = 3SE +/- 18.26, N = 3SE +/- 5.78, N = 376981004618004137591. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerSMT OnSMT Off8K16K24K32K40KSE +/- 64.83, N = 3SE +/- 38.84, N = 3SE +/- 29.21, N = 3SE +/- 10.48, N = 3156192013335926275381. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerSMT OnSMT Off4K8K12K16K20KSE +/- 19.63, N = 3SE +/- 5.29, N = 3SE +/- 11.93, N = 3SE +/- 6.12, N = 378171023218269139631. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerSMT OnSMT Off8K16K24K32K40KSE +/- 41.40, N = 3SE +/- 96.56, N = 3SE +/- 53.62, N = 3SE +/- 21.53, N = 3157312054536539278851. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerSMT OnSMT Off5K10K15K20K25KSE +/- 27.17, N = 3SE +/- 8.65, N = 3SE +/- 15.65, N = 3SE +/- 11.89, N = 392531212721666164841. (CXX) g++ options: -O3 -lm -ldl

OSPRay Studio

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerSMT OnSMT Off9K18K27K36K45KSE +/- 34.44, N = 3SE +/- 17.91, N = 3SE +/- 76.61, N = 3SE +/- 17.58, N = 3184552423843371329721. (CXX) g++ options: -O3 -lm -ldl

PostgreSQL

Scaling Factor: 1000 - Clients: 800 - Mode: Read Only - Average Latency

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1000 - Clients: 800 - Mode: Read Only - Average LatencySMT OnSMT Off0.22910.45820.68730.91641.1455SE +/- 0.025, N = 12SE +/- 0.006, N = 3SE +/- 0.020, N = 12SE +/- 0.040, N = 90.9741.0180.9170.9521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenVINO

Model: Face Detection FP16 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUSMT OnSMT Off2004006008001000SE +/- 0.18, N = 3SE +/- 0.28, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3526.98526.46513.231049.311. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP16 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUSMT OnSMT Off5001000150020002500SE +/- 4.07, N = 3SE +/- 10.43, N = 3SE +/- 8.36, N = 9SE +/- 16.41, N = 121559.951545.231105.962377.791. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP32 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUSMT OnSMT Off5001000150020002500SE +/- 8.82, N = 3SE +/- 4.61, N = 3SE +/- 10.77, N = 5SE +/- 12.47, N = 151552.151579.141102.822378.071. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUSMT OnSMT Off1020304050SE +/- 0.15, N = 15SE +/- 0.12, N = 13SE +/- 0.10, N = 13SE +/- 0.55, N = 1411.0310.2611.4943.731. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUSMT OnSMT Off120240360480600SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3270.93271.24268.82541.291. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUSMT OnSMT Off3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.20, N = 154.834.864.7412.071. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUSMT OnSMT Off3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.645.615.4710.531. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUSMT OnSMT Off20406080100SE +/- 0.35, N = 3SE +/- 0.21, N = 3SE +/- 0.45, N = 15SE +/- 1.12, N = 1555.1254.4258.71110.001. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUSMT OnSMT Off3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 311.0011.1010.9110.841. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUSMT OnSMT Off3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 156.466.476.2410.401. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUSMT OnSMT Off0.18680.37360.56040.74720.934SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.620.670.700.831. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

OpenVINO

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

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUSMT OnSMT Off0.29250.5850.87751.171.4625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.081.131.301.211. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamSMT OnSMT Off2004006008001000SE +/- 0.27, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3902.86676.81644.98859.87

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-StreamSMT OnSMT Off1122334455SE +/- 0.13, N = 3SE +/- 0.57, N = 15SE +/- 0.10, N = 3SE +/- 0.04, N = 348.6245.8835.5546.43

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off60120180240300SE +/- 2.29, N = 15SE +/- 3.96, N = 15SE +/- 6.30, N = 15SE +/- 6.66, N = 15229.16212.68259.28267.71

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamSMT OnSMT Off4080120160200SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 1.18, N = 15SE +/- 0.16, N = 3159.89118.13125.45152.99

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamSMT OnSMT Off1530456075SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 368.3651.8149.5165.97

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamSMT OnSMT Off20406080100SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.37, N = 3SE +/- 0.04, N = 3107.1881.2077.81102.23

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamSMT OnSMT Off110220330440550SE +/- 0.26, N = 3SE +/- 3.79, N = 3SE +/- 8.17, N = 15SE +/- 0.68, N = 3521.31426.74468.78499.59

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off50100150200250SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.81, N = 3SE +/- 0.54, N = 3211.48162.02156.06201.63

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamSMT OnSMT Off2004006008001000SE +/- 0.45, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.49, N = 3902.78676.43645.00859.88

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsSMT OnSMT Off510152025SE +/- 0.27, N = 4SE +/- 0.04, N = 4SE +/- 0.09, N = 5SE +/- 0.11, N = 421.6515.159.2712.001. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CP2K Molecular Dynamics

Input: H2O-DFT-LS

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 2023.1Input: H2O-DFT-LSSMT OnSMT Off110022003300440055002143.512363.584957.695012.261. (F9X) gfortran options: -fopenmp -mtune=native -O3 -funroll-loops -fbacktrace -ffree-form -fimplicit-none -std=f2008 -lcp2kstart -lcp2kmc -lcp2kswarm -lcp2kmotion -lcp2kthermostat -lcp2kemd -lcp2ktmc -lcp2kmain -lcp2kdbt -lcp2ktas -lcp2kdbm -lcp2kgrid -lcp2kgridcpu -lcp2kgridref -lcp2kgridcommon -ldbcsrarnoldi -ldbcsrx -lcp2kshg_int -lcp2keri_mme -lcp2kminimax -lcp2khfxbase -lcp2ksubsys -lcp2kxc -lcp2kao -lcp2kpw_env -lcp2kinput -lcp2kpw -lcp2kgpu -lcp2kfft -lcp2kfpga -lcp2kfm -lcp2kcommon -lcp2koffload -lcp2kmpiwrap -lcp2kbase -ldbcsr -lsirius -lspla -lspfft -lsymspg -lvdwxc -lhdf5 -lhdf5_hl -lz -lgsl -lelpa_openmp -lcosma -lcosta -lscalapack -lxsmmf -lxsmm -ldl -lpthread -lxcf03 -lxc -lint2 -lfftw3_mpi -lfftw3 -lfftw3_omp -lmpi_cxx -lmpi -lopenblas -lvori -lstdc++ -lmpi_usempif08 -lmpi_mpifh -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm

SPECFEM3D

Model: Mount St. Helens

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. HelensSMT OnSMT Off246810SE +/- 0.014293172, N = 5SE +/- 0.013893024, N = 5SE +/- 0.069356320, N = 12SE +/- 0.034771470, N = 53.9066750952.6301225995.0300315806.2163798491. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Layered Halfspace

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered HalfspaceSMT OnSMT Off48121620SE +/- 0.066481426, N = 15SE +/- 0.056354216, N = 4SE +/- 0.159428812, N = 3SE +/- 0.034780206, N = 39.9974475707.47077293015.02812192915.9649316881. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Tomographic Model

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic ModelSMT OnSMT Off246810SE +/- 0.086611165, N = 15SE +/- 0.014728964, N = 6SE +/- 0.048140615, N = 15SE +/- 0.080164897, N = 53.7827417982.7092054284.9372655067.4806747061. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Homogeneous Halfspace

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous HalfspaceSMT OnSMT Off3691215SE +/- 0.120152278, N = 15SE +/- 0.065109589, N = 12SE +/- 0.044108994, N = 15SE +/- 0.048294894, N = 44.7278301483.4518301696.0927502999.4043485001. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Water-layered Halfspace

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered HalfspaceSMT OnSMT Off48121620SE +/- 0.063515594, N = 4SE +/- 0.062799204, N = 15SE +/- 0.021567327, N = 3SE +/- 0.142353904, N = 39.7783814376.21806925713.41945450117.1944927791. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Timed Gem5 Compilation

Time To Compile

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileSMT OnSMT Off4080120160200SE +/- 1.29, N = 3SE +/- 1.24, N = 3SE +/- 0.50, N = 3SE +/- 0.32, N = 3152.59148.38148.48161.65

Timed Godot Game Engine Compilation

Time To Compile

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileSMT OnSMT Off20406080100SE +/- 1.01, N = 3SE +/- 0.30, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3100.79100.24102.59105.80

Timed Linux Kernel Compilation

Build: defconfig

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigSMT OnSMT Off612182430SE +/- 0.14, N = 13SE +/- 0.12, N = 13SE +/- 0.21, N = 7SE +/- 0.23, N = 720.3418.4722.9826.23

Timed Linux Kernel Compilation

Build: allmodconfig

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigSMT OnSMT Off50100150200250SE +/- 0.51, N = 3SE +/- 0.55, N = 3SE +/- 0.48, N = 3SE +/- 1.35, N = 3145.93118.10177.76227.52

Timed LLVM Compilation

Build System: Ninja

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaSMT OnSMT Off306090120150SE +/- 0.91, N = 3SE +/- 0.70, N = 3SE +/- 0.18, N = 3SE +/- 0.29, N = 3107.7299.22119.58125.36

Timed LLVM Compilation

Build System: Unix Makefiles

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesSMT OnSMT Off50100150200250SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.70, N = 3SE +/- 0.15, N = 3199.37198.75213.91211.08

Timed Node.js Compilation

Time To Compile

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileSMT OnSMT Off306090120150SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 393.2793.95116.12113.70

Primesieve

Length: 1e12

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12SMT OnSMT Off0.43740.87481.31221.74962.187SE +/- 0.010, N = 14SE +/- 0.003, N = 12SE +/- 0.003, N = 11SE +/- 0.006, N = 111.5081.1601.7961.9441. (CXX) g++ options: -O3

Primesieve

Length: 1e13

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13SMT OnSMT Off510152025SE +/- 0.01, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 3SE +/- 0.02, N = 311.1211.1521.1321.291. (CXX) g++ options: -O3

Helsing

Digit Range: 14 digit

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitSMT OnSMT Off1326395265SE +/- 0.37, N = 3SE +/- 0.31, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 327.2850.0557.9650.471. (CC) gcc options: -O2 -pthread

Blender

Blend File: BMW27 - Compute: CPU-Only

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-OnlySMT OnSMT Off48121620SE +/- 0.02, N = 6SE +/- 0.05, N = 5SE +/- 0.05, N = 4SE +/- 0.02, N = 47.128.4515.1512.77

Blender

Blend File: Classroom - Compute: CPU-Only

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-OnlySMT OnSMT Off918273645SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 316.2820.2438.4431.12

Blender

Blend File: Fishy Cat - Compute: CPU-Only

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-OnlySMT OnSMT Off510152025SE +/- 0.02, N = 5SE +/- 0.04, N = 4SE +/- 0.06, N = 3SE +/- 0.06, N = 39.8711.7220.4716.49

Blender

Blend File: Barbershop - Compute: CPU-Only

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-OnlySMT OnSMT Off306090120150SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 369.0385.54147.22116.54

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-OnlySMT OnSMT Off1122334455SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 321.7527.4750.0139.27

Appleseed

Scene: Emily

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilySMT OnSMT Off4080120160200164.57159.91123.30122.59

Appleseed

Scene: Disney Material

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialSMT OffSMT On102030405040.5738.4944.30

Appleseed

Scene: Material Tester

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterSMT OffSMT On60120180240300265.89167.90166.68

NAS Parallel Benchmarks

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 40.66 / Avg: 397.37 / Max: 663.29Min: 40.15 / Avg: 380.97 / Max: 653.61Min: 19.51 / Avg: 216.16 / Max: 309.45Min: 19.79 / Avg: 220.03 / Max: 326.76

NAS Parallel Benchmarks

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 41.39 / Avg: 274.22 / Max: 646.25Min: 40.04 / Avg: 259.96 / Max: 632.64Min: 19.7 / Avg: 143.06 / Max: 313.46Min: 20.14 / Avg: 149.82 / Max: 321.08

NAS Parallel Benchmarks

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.42 / Avg: 399.82 / Max: 682.45Min: 40.26 / Avg: 375.87 / Max: 680.44Min: 19.6 / Avg: 229.32 / Max: 332.77Min: 20.22 / Avg: 238.61 / Max: 342.73

NAS Parallel Benchmarks

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 40.97 / Avg: 256.9 / Max: 647.79Min: 40.17 / Avg: 249.94 / Max: 637.03Min: 19.73 / Avg: 133.34 / Max: 299.42Min: 20.47 / Avg: 134.84 / Max: 312.66

NAS Parallel Benchmarks

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.72 / Avg: 315.26 / Max: 633.61Min: 40.25 / Avg: 307.61 / Max: 652.71Min: 19.77 / Avg: 150.15 / Max: 264.6Min: 20.3 / Avg: 148.47 / Max: 271.57

NAS Parallel Benchmarks

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 40.56 / Avg: 324.76 / Max: 663.39Min: 40.61 / Avg: 310.37 / Max: 663.69Min: 19.72 / Avg: 192.37 / Max: 313.77Min: 20.31 / Avg: 193.05 / Max: 313.96

NAS Parallel Benchmarks

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 41.54 / Avg: 173.73 / Max: 526.19Min: 40.59 / Avg: 172.91 / Max: 610.41Min: 19.66 / Avg: 91.16 / Max: 281.3Min: 20.16 / Avg: 88.42 / Max: 270.94

miniFE

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2CPU Power Consumption MonitorSMT OnSMT Off80160240320400Min: 39.79 / Avg: 233.98 / Max: 478.7Min: 39.96 / Avg: 227.79 / Max: 468.68Min: 19.39 / Avg: 120.31 / Max: 246.66Min: 20.05 / Avg: 123.43 / Max: 252.15

NAS Parallel Benchmarks

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.07 / Avg: 228.71 / Max: 655.77Min: 39.68 / Avg: 227.42 / Max: 648.76Min: 19.52 / Avg: 119.85 / Max: 307.11Min: 19.9 / Avg: 127.5 / Max: 326.83

NAS Parallel Benchmarks

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 40.07 / Avg: 394.92 / Max: 657.14Min: 41.29 / Avg: 383.27 / Max: 632.69Min: 19.6 / Avg: 202.94 / Max: 285.46Min: 20.01 / Avg: 210.74 / Max: 311.07

miniBUDE

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 40.84 / Avg: 269.38 / Max: 547.76Min: 40.2 / Avg: 223.4 / Max: 628.17Min: 19.77 / Avg: 154.01 / Max: 315.25Min: 20.2 / Avg: 155.92 / Max: 319.62

miniBUDE

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 40.87 / Avg: 385.07 / Max: 627.6Min: 39.97 / Avg: 463.17 / Max: 639.3Min: 19.67 / Avg: 268.1 / Max: 319.7Min: 20.25 / Avg: 270.52 / Max: 323.64

CloverLeaf

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterCloverLeafCPU Power Consumption MonitorSMT OnSMT Off70140210280350Min: 41.07 / Avg: 322.81 / Max: 382.87Min: 40.69 / Avg: 293.85 / Max: 373.73Min: 19.99 / Avg: 142.48 / Max: 202.51Min: 20.74 / Avg: 156.83 / Max: 210.59

CP2K Molecular Dynamics

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterCP2K Molecular Dynamics 2023.1CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.56 / Avg: 614.44 / Max: 701.65Min: 40.71 / Avg: 623.68 / Max: 701.99Min: 20.12 / Avg: 290.26 / Max: 349.59Min: 20.44 / Avg: 291.52 / Max: 350.26

NAMD

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption MonitorSMT OnSMT Off130260390520650Min: 43.91 / Avg: 386.17 / Max: 712.38Min: 42.59 / Avg: 421.91 / Max: 639.89Min: 20.91 / Avg: 242.43 / Max: 333.11Min: 21.34 / Avg: 258.84 / Max: 353.57

toyBrot Fractal Generator

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 41.02 / Avg: 232.68 / Max: 605.7Min: 40.87 / Avg: 257.24 / Max: 584.5Min: 20.03 / Avg: 161.83 / Max: 283.89Min: 20.91 / Avg: 150.09 / Max: 303.56

toyBrot Fractal Generator

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption MonitorSMT OnSMT Off100200300400500Min: 40.87 / Avg: 242.46 / Max: 590.56Min: 40.79 / Avg: 251.07 / Max: 574.98Min: 19.84 / Avg: 154.08 / Max: 274.28Min: 20.45 / Avg: 148.84 / Max: 302.49

libxsmm

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.27 / Avg: 322.92 / Max: 664.29Min: 41.28 / Avg: 324.27 / Max: 648.28Min: 20.02 / Avg: 204.17 / Max: 323.63Min: 20.34 / Avg: 205.01 / Max: 330.64

libxsmm

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.94 / Avg: 321.06 / Max: 680.36Min: 40.86 / Avg: 319.88 / Max: 674.35Min: 20.05 / Avg: 210.44 / Max: 332.07Min: 20.42 / Avg: 211.17 / Max: 339.24

HeFFTe - Highly Efficient FFT for Exascale

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 44.94 / Avg: 404.61 / Max: 614.02Min: 41.14 / Avg: 392.95 / Max: 599.94Min: 11.69 / Avg: 185.74 / Max: 241.77Min: 20.78 / Avg: 187.92 / Max: 271.2

HeFFTe - Highly Efficient FFT for Exascale

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 42.06 / Avg: 336.38 / Max: 638.26Min: 40.74 / Avg: 340.8 / Max: 617.42Min: 20.14 / Avg: 164.96 / Max: 252.95Min: 20.52 / Avg: 169.96 / Max: 279.94

HeFFTe - Highly Efficient FFT for Exascale

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 41.88 / Avg: 458.33 / Max: 608.28Min: 40.61 / Avg: 446.09 / Max: 590.49Min: 20.26 / Avg: 246.69 / Max: 279.29Min: 20.58 / Avg: 248.88 / Max: 282.9

HeFFTe - Highly Efficient FFT for Exascale

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.3CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 43.55 / Avg: 408.39 / Max: 622.11Min: 41.26 / Avg: 404.72 / Max: 596.32Min: 20.21 / Avg: 229.75 / Max: 280.78Min: 20.59 / Avg: 233.52 / Max: 280.97

SPECFEM3D

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.65 / Avg: 310.22 / Max: 679.55Min: 43.56 / Avg: 283.61 / Max: 651.99Min: 20.51 / Avg: 173.78 / Max: 324.55Min: 21.64 / Avg: 185.39 / Max: 336.6

SPECFEM3D

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.53 / Avg: 396.49 / Max: 677.63Min: 41.53 / Avg: 355.84 / Max: 655.14Min: 20.36 / Avg: 226.26 / Max: 322.57Min: 20.77 / Avg: 234.87 / Max: 334.16

SPECFEM3D

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.2 / Avg: 321.36 / Max: 664.42Min: 41.07 / Avg: 299.85 / Max: 655.45Min: 20.14 / Avg: 175.44 / Max: 323.55Min: 20.85 / Avg: 203.93 / Max: 337.24

SPECFEM3D

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.07 / Avg: 338.57 / Max: 663.27Min: 40.89 / Avg: 314 / Max: 658.8Min: 20.06 / Avg: 188.68 / Max: 325.98Min: 20.79 / Avg: 218.63 / Max: 337.15

SPECFEM3D

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.18 / Avg: 415.4 / Max: 678.2Min: 41.07 / Avg: 358.64 / Max: 670.26Min: 20.04 / Avg: 228.45 / Max: 329.73Min: 20.6 / Avg: 249.37 / Max: 338.57

Xmrig

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.18.1CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.43 / Avg: 488.1 / Max: 682.33Min: 40.87 / Avg: 462.3 / Max: 653.34Min: 20.83 / Avg: 268.02 / Max: 330.69Min: 20.63 / Avg: 221.93 / Max: 329.48

Xmrig

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.18.1CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.21 / Avg: 439.66 / Max: 708.61Min: 41.49 / Avg: 447.09 / Max: 663.47Min: 20.64 / Avg: 267.92 / Max: 342.62Min: 20.54 / Avg: 267.22 / Max: 350.81

srsRAN Project

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.5CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.09 / Avg: 560.78 / Max: 670.82Min: 41.48 / Avg: 517.72 / Max: 634.9Min: 20.63 / Avg: 260.57 / Max: 317.08Min: 20.98 / Avg: 261.42 / Max: 327.2

John The Ripper

CPU Power Consumption Monitor

EPYC 9754 1PEPYC 9754 2POpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 20.17 / Avg: 280.29 / Max: 320.86Min: 20 / Avg: 254.23 / Max: 291.94Min: 20.76 / Avg: 258.09 / Max: 293.57Min: 20.74 / Avg: 281.36 / Max: 322.03Min: 42.38 / Avg: 553.47 / Max: 644.02Min: 40.81 / Avg: 541.52 / Max: 627.33Min: 42.39 / Avg: 564.26 / Max: 642.19Min: 42.35 / Avg: 551.23 / Max: 631.68

John The Ripper

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption MonitorSMT OnSMT Off140280420560700Min: 43.21 / Avg: 681.87 / Max: 792.38Min: 41.73 / Avg: 635.7 / Max: 734.09Min: 20.23 / Avg: 301.84 / Max: 349.66Min: 20.68 / Avg: 348.64 / Max: 397.25

John The Ripper

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.25 / Avg: 517.18 / Max: 684.78Min: 40.66 / Avg: 526.99 / Max: 698.52Min: 20.4 / Avg: 296.91 / Max: 362.1Min: 20.42 / Avg: 291.74 / Max: 363.73

LuxCoreRender

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.78 / Avg: 510.83 / Max: 659.11Min: 41.49 / Avg: 468.61 / Max: 635.46Min: 20.7 / Avg: 285.26 / Max: 319.31Min: 20.94 / Avg: 303.49 / Max: 332.56

LuxCoreRender

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.69 / Avg: 558.11 / Max: 673.06Min: 41.2 / Avg: 501.47 / Max: 651.41Min: 20.39 / Avg: 293.46 / Max: 329.9Min: 21.26 / Avg: 298.35 / Max: 337.28

LuxCoreRender

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption MonitorSMT OnSMT Off90180270360450Min: 42.57 / Avg: 445.45 / Max: 519.63Min: 41.4 / Avg: 402.3 / Max: 472.3Min: 20.62 / Avg: 247.27 / Max: 288.16Min: 21.47 / Avg: 286.22 / Max: 332.7

LuxCoreRender

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption MonitorSMT OnSMT Off70140210280350Min: 41.26 / Avg: 281.59 / Max: 380.32Min: 40.47 / Avg: 279.04 / Max: 366.94Min: 20.14 / Avg: 136.45 / Max: 184.56Min: 20.9 / Avg: 142.31 / Max: 202.02

Embree

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.29 / Avg: 314.33 / Max: 666.86Min: 40.12 / Avg: 347.93 / Max: 636Min: 19.75 / Avg: 204.9 / Max: 312.76Min: 20.54 / Avg: 191.71 / Max: 332.64

Embree

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 41.35 / Avg: 286.01 / Max: 649.79Min: 40.75 / Avg: 312.56 / Max: 630.49Min: 20.14 / Avg: 183.96 / Max: 309.98Min: 20.48 / Avg: 170.51 / Max: 326.15

Intel Open Image Denoise

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.0CPU Power Consumption MonitorSMT OnSMT Off100200300400500Min: 41.67 / Avg: 298.49 / Max: 561.86Min: 21.72 / Avg: 294.18 / Max: 551.63Min: 19.89 / Avg: 172.35 / Max: 299.67Min: 20.3 / Avg: 176.53 / Max: 298.39

Intel Open Image Denoise

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.0CPU Power Consumption MonitorSMT OnSMT Off100200300400500Min: 40.73 / Avg: 294.58 / Max: 558.39Min: 40.95 / Avg: 295.21 / Max: 552.75Min: 19.82 / Avg: 174.13 / Max: 300.84Min: 20.39 / Avg: 170.54 / Max: 297.28

Intel Open Image Denoise

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.0CPU Power Consumption MonitorSMT OnSMT Off100200300400500Min: 41.62 / Avg: 383.91 / Max: 567.02Min: 41.02 / Avg: 379.66 / Max: 554.87Min: 19.75 / Avg: 215.85 / Max: 296.82Min: 20.37 / Avg: 219.82 / Max: 297.83

OpenVKL

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 1.3.1CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 41.51 / Avg: 467.94 / Max: 643.91Min: 41.74 / Avg: 435.67 / Max: 614.27Min: 19.63 / Avg: 223.41 / Max: 305.39Min: 20.44 / Avg: 238.51 / Max: 321.14

OSPRay

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption MonitorSMT OnSMT Off100200300400500Min: 41.99 / Avg: 553.35 / Max: 585.29Min: 42.16 / Avg: 534.35 / Max: 564.38Min: 20.26 / Avg: 261.53 / Max: 278.17Min: 21.03 / Avg: 291.76 / Max: 307.53

OSPRay

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption MonitorSMT OnSMT Off100200300400500Min: 44 / Avg: 483.3 / Max: 582.81Min: 42.19 / Avg: 462.03 / Max: 561.22Min: 20.16 / Avg: 211.09 / Max: 275.73Min: 20.96 / Avg: 241.99 / Max: 304.45

OSPRay

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 44.15 / Avg: 566.91 / Max: 661.42Min: 40.66 / Avg: 542.85 / Max: 624.55Min: 20.16 / Avg: 254.24 / Max: 300.93Min: 20.45 / Avg: 276.76 / Max: 329.91

OSPRay

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.48 / Avg: 572.66 / Max: 664.61Min: 41.49 / Avg: 544.27 / Max: 626.51Min: 20.36 / Avg: 255.54 / Max: 301.79Min: 21.29 / Avg: 278.61 / Max: 330.56

7-Zip Compression

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.89 / Avg: 501.4 / Max: 701.41Min: 41.8 / Avg: 472.21 / Max: 667.59Min: 20.34 / Avg: 247.35 / Max: 330.87Min: 21.05 / Avg: 266.27 / Max: 350.56

Stockfish

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterStockfish 15CPU Power Consumption MonitorSMT OnSMT Off130260390520650Min: 42.5 / Avg: 649.7 / Max: 710.41Min: 41.98 / Avg: 598.99 / Max: 681.91Min: 20.41 / Avg: 309.55 / Max: 341.8Min: 21.02 / Avg: 326.55 / Max: 356.32

Timed Gem5 Compilation

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 21.2CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.13 / Avg: 253.79 / Max: 657.39Min: 40.34 / Avg: 250.05 / Max: 652.68Min: 19.52 / Avg: 131.21 / Max: 323.7Min: 19.75 / Avg: 126.31 / Max: 329.48

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.9 / Avg: 275.11 / Max: 667.57Min: 40.04 / Avg: 275.62 / Max: 665.8Min: 19.83 / Avg: 154.5 / Max: 328.65Min: 20.04 / Avg: 148.45 / Max: 334.92

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.05 / Avg: 285.97 / Max: 638.63Min: 40.17 / Avg: 267.88 / Max: 656.25Min: 19.82 / Avg: 149.41 / Max: 323.82Min: 20.11 / Avg: 158.04 / Max: 312.79

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.29 / Avg: 468.11 / Max: 673.75Min: 40.59 / Avg: 462.79 / Max: 676.08Min: 20.38 / Avg: 265.69 / Max: 337.05Min: 20.05 / Avg: 255.95 / Max: 334.41

Timed LLVM Compilation

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.36 / Avg: 337.35 / Max: 671.56Min: 41.09 / Avg: 351.2 / Max: 660.92Min: 20.32 / Avg: 218.43 / Max: 329.81Min: 20.62 / Avg: 209.56 / Max: 335.43

Timed LLVM Compilation

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 41.07 / Avg: 282.76 / Max: 651.4Min: 41.34 / Avg: 283.34 / Max: 646.29Min: 19.66 / Avg: 159.92 / Max: 323.96Min: 20.39 / Avg: 159.32 / Max: 327.5

Timed Node.js Compilation

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 19.8.1CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 40.27 / Avg: 330.87 / Max: 680.38Min: 40.21 / Avg: 335.02 / Max: 662.48Min: 19.79 / Avg: 195.41 / Max: 330.02Min: 20.49 / Avg: 192.96 / Max: 340.93

Primesieve

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 40.74 / Avg: 202.59 / Max: 640.65Min: 40.21 / Avg: 164.82 / Max: 618.35Min: 19.72 / Avg: 104.83 / Max: 309.64Min: 20.18 / Avg: 113.25 / Max: 312.47

Primesieve

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.84 / Avg: 485.63 / Max: 670.4Min: 41.23 / Avg: 464.71 / Max: 636.03Min: 19.88 / Avg: 261.85 / Max: 316.4Min: 20.09 / Avg: 268.37 / Max: 324.15

OSPRay Studio

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.89 / Avg: 609 / Max: 686.18Min: 41.01 / Avg: 558.64 / Max: 651.98Min: 20.2 / Avg: 277.45 / Max: 323.23Min: 20.8 / Avg: 286.61 / Max: 335.12

OSPRay Studio

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 44.18 / Avg: 586.29 / Max: 680.45Min: 42.03 / Avg: 559.72 / Max: 652.58Min: 20.75 / Avg: 278.21 / Max: 323.58Min: 21.25 / Avg: 287.03 / Max: 334.32

OSPRay Studio

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.64 / Avg: 585.98 / Max: 682.76Min: 42.47 / Avg: 564.46 / Max: 651.55Min: 20.74 / Avg: 281.21 / Max: 323.91Min: 21.43 / Avg: 287.82 / Max: 335.59

OSPRay Studio

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.72 / Avg: 617.3 / Max: 686.55Min: 42.66 / Avg: 587.43 / Max: 654.45Min: 20.9 / Avg: 295.01 / Max: 325.94Min: 21.61 / Avg: 305.02 / Max: 338.57

OSPRay Studio

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.58 / Avg: 572.24 / Max: 686.68Min: 41.88 / Avg: 551.43 / Max: 653.67Min: 21.33 / Avg: 283.12 / Max: 324.52Min: 21.29 / Avg: 303.95 / Max: 338.98

OSPRay Studio

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.88 / Avg: 615.69 / Max: 685.2Min: 41.78 / Avg: 589.05 / Max: 653.82Min: 10.61 / Avg: 295.55 / Max: 325.63Min: 21.65 / Avg: 305.15 / Max: 338.21

OSPRay Studio

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 44.88 / Avg: 575.16 / Max: 684.71Min: 42.15 / Avg: 573.14 / Max: 653.73Min: 20.77 / Avg: 284.22 / Max: 324.97Min: 21.44 / Avg: 307.82 / Max: 338.46

OSPRay Studio

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 44.72 / Avg: 616.86 / Max: 687.3Min: 41.61 / Avg: 566.27 / Max: 654Min: 20.73 / Avg: 274.66 / Max: 324.6Min: 21.56 / Avg: 282.67 / Max: 337.69

OSPRay Studio

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.82 / Avg: 625.58 / Max: 686.92Min: 42.38 / Avg: 568.08 / Max: 654.97Min: 20.81 / Avg: 290.35 / Max: 325.63Min: 21.32 / Avg: 291.25 / Max: 338.09

Helsing

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.81 / Avg: 589.87 / Max: 707.99Min: 41.78 / Avg: 512.26 / Max: 690.1Min: 20.68 / Avg: 310.21 / Max: 356.64Min: 21.03 / Avg: 316.26 / Max: 355.5

OpenSSL

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorSMT OnSMT Off130260390520650Min: 41.96 / Avg: 676 / Max: 716.17Min: 42.55 / Avg: 603.9 / Max: 697.6Min: 20.37 / Avg: 285.19 / Max: 341.28Min: 20.72 / Avg: 333.08 / Max: 356.22

OpenSSL

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorSMT OnSMT Off130260390520650Min: 44.01 / Avg: 676.25 / Max: 700.91Min: 41.9 / Avg: 678.87 / Max: 711.36Min: 20.38 / Avg: 332.69 / Max: 354.84Min: 21.29 / Avg: 335.75 / Max: 346.67

OpenSSL

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 44.51 / Avg: 617.73 / Max: 697.4Min: 42.69 / Avg: 599.56 / Max: 681.84Min: 21.32 / Avg: 284.75 / Max: 316.61Min: 21.6 / Avg: 314.07 / Max: 354.72

OpenSSL

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorSMT OnSMT Off140280420560700Min: 44.02 / Avg: 730.27 / Max: 792.36Min: 42.08 / Avg: 660.38 / Max: 727.38Min: 20.75 / Avg: 308.01 / Max: 338.71Min: 21.23 / Avg: 363.8 / Max: 392.13

OpenSSL

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorSMT OnSMT Off130260390520650Min: 42.1 / Avg: 693.22 / Max: 715.73Min: 42.47 / Avg: 687.22 / Max: 716.34Min: 20.8 / Avg: 341.74 / Max: 355.14Min: 20.93 / Avg: 343.2 / Max: 354.82

OpenSSL

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorSMT OnSMT Off130260390520650Min: 45.1 / Avg: 691.78 / Max: 716.83Min: 42.53 / Avg: 675.04 / Max: 707.9Min: 20.86 / Avg: 336.86 / Max: 352.15Min: 21.31 / Avg: 341.99 / Max: 354.9

OpenSSL

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorSMT OnSMT Off130260390520650Min: 42.98 / Avg: 724.1 / Max: 753.79Min: 42.18 / Avg: 661.5 / Max: 692.49Min: 20.77 / Avg: 322.28 / Max: 351.12Min: 21.26 / Avg: 360.04 / Max: 378.01

Liquid-DSP

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 42.35 / Avg: 526.88 / Max: 607.73Min: 41.3 / Avg: 524.17 / Max: 605.41Min: 20.66 / Avg: 260.28 / Max: 300.73Min: 20.84 / Avg: 271.1 / Max: 312.91

Liquid-DSP

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 43.17 / Avg: 542.11 / Max: 636.19Min: 42.64 / Avg: 515.71 / Max: 606.26Min: 20.3 / Avg: 259.79 / Max: 301.25Min: 20.83 / Avg: 267.43 / Max: 313.4

ASTC Encoder

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption MonitorSMT OnSMT Off80160240320400Min: 41.99 / Avg: 247.05 / Max: 432.29Min: 41.7 / Avg: 234.69 / Max: 432.58Min: 20.06 / Avg: 117.33 / Max: 315.16Min: 20.41 / Avg: 123.13 / Max: 316.82

ASTC Encoder

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.01 / Avg: 227.98 / Max: 671.57Min: 40.08 / Avg: 220.5 / Max: 656.14Min: 19.58 / Avg: 134.61 / Max: 338.88Min: 14.08 / Avg: 133.8 / Max: 351.54

ASTC Encoder

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption MonitorSMT OnSMT Off130260390520650Min: 41.13 / Avg: 283.59 / Max: 713.06Min: 40.28 / Avg: 278.8 / Max: 679.54Min: 19.61 / Avg: 174.24 / Max: 339.1Min: 19.98 / Avg: 172.1 / Max: 353.68

Graph500

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterGraph500 3.0CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.39 / Avg: 634.69 / Max: 685.66Min: 40.03 / Avg: 646.2 / Max: 688.13Min: 19.89 / Avg: 286.97 / Max: 330.07Min: 20.27 / Avg: 293.26 / Max: 336.48

MariaDB

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterMariaDB 11.0.1CPU Power Consumption MonitorSMT OnSMT Off50100150200250Min: 43.1 / Avg: 245.22 / Max: 266.18Min: 188.47 / Avg: 254.51 / Max: 270.43Min: 20.3 / Avg: 123.06 / Max: 134.69Min: 20.42 / Avg: 122.43 / Max: 135.29

MariaDB

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterMariaDB 11.0.1CPU Power Consumption MonitorSMT OnSMT Off50100150200250Min: 40.82 / Avg: 250.44 / Max: 275.37Min: 188.93 / Avg: 257.46 / Max: 279.59Min: 19.33 / Avg: 123.19 / Max: 137.52Min: 20.08 / Avg: 122.04 / Max: 137.54

PostgreSQL

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL 15CPU Power Consumption MonitorSMT OnSMT Off70140210280350Min: 40.03 / Avg: 294.82 / Max: 404.71Min: 191.46 / Avg: 297.52 / Max: 385.38Min: 19.47 / Avg: 137.98 / Max: 261.97Min: 19.92 / Avg: 141 / Max: 209.56

TensorFlow

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorSMT OnSMT Off80160240320400Min: 41.4 / Avg: 334.38 / Max: 420.36Min: 194.45 / Avg: 376.07 / Max: 452.14Min: 19.84 / Avg: 191.63 / Max: 248.98Min: 20.26 / Avg: 201.49 / Max: 263.75

TensorFlow

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorSMT OnSMT Off90180270360450Min: 42.41 / Avg: 386.28 / Max: 479.62Min: 192.51 / Avg: 420.4 / Max: 490.99Min: 19.92 / Avg: 213.28 / Max: 261.74Min: 20.29 / Avg: 235.29 / Max: 286.59

TensorFlow

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorSMT OnSMT Off80160240320400Min: 42.83 / Avg: 383.45 / Max: 426.38Min: 189.77 / Avg: 412.23 / Max: 457.74Min: 20.23 / Avg: 237.07 / Max: 270.8Min: 20.72 / Avg: 243.24 / Max: 277.92

TensorFlow

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorSMT OnSMT Off80160240320400Min: 42.84 / Avg: 391.59 / Max: 458.74Min: 194.78 / Avg: 406.75 / Max: 462.03Min: 20.24 / Avg: 222.59 / Max: 275.13Min: 20.64 / Avg: 220.96 / Max: 274.28

TensorFlow

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorSMT OnSMT Off90180270360450Min: 21.61 / Avg: 439.04 / Max: 490.17Min: 192.59 / Avg: 456.01 / Max: 498.3Min: 20.39 / Avg: 228.42 / Max: 276.77Min: 20.81 / Avg: 235.45 / Max: 279.59

TensorFlow

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorSMT OnSMT Off90180270360450Min: 42.05 / Avg: 421.61 / Max: 491.54Min: 194 / Avg: 441.9 / Max: 511.48Min: 20.41 / Avg: 222.86 / Max: 282.49Min: 20.5 / Avg: 225.8 / Max: 286.84

Neural Magic DeepSparse

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.81 / Avg: 482.63 / Max: 702.05Min: 194.94 / Avg: 478.36 / Max: 692.61Min: 20.07 / Avg: 233.36 / Max: 344.64Min: 20.51 / Avg: 247.92 / Max: 356.8

Neural Magic DeepSparse

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.64 / Avg: 517.56 / Max: 680.99Min: 193.54 / Avg: 505.33 / Max: 653.26Min: 20.36 / Avg: 251.27 / Max: 319.12Min: 20.92 / Avg: 250.7 / Max: 320.58

Neural Magic DeepSparse

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.65 / Avg: 496.12 / Max: 694.42Min: 192.96 / Avg: 504.41 / Max: 673.83Min: 20.52 / Avg: 236.78 / Max: 330.52Min: 20.98 / Avg: 231.96 / Max: 341.24

Neural Magic DeepSparse

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.03 / Avg: 568.51 / Max: 686.75Min: 194.59 / Avg: 576 / Max: 679.21Min: 20.34 / Avg: 281.81 / Max: 336.34Min: 20.8 / Avg: 291.22 / Max: 348.67

Neural Magic DeepSparse

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.24 / Avg: 556.63 / Max: 669.25Min: 193.12 / Avg: 553.79 / Max: 663.52Min: 20.35 / Avg: 278.52 / Max: 329.31Min: 21.26 / Avg: 279.75 / Max: 331.26

Neural Magic DeepSparse

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.67 / Avg: 535.06 / Max: 668.18Min: 196.83 / Avg: 534.41 / Max: 647.28Min: 20.87 / Avg: 257.43 / Max: 318.21Min: 20.93 / Avg: 256.18 / Max: 318.33

Neural Magic DeepSparse

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.89 / Avg: 453.79 / Max: 677.58Min: 101.92 / Avg: 460.64 / Max: 658.21Min: 20.67 / Avg: 228.97 / Max: 321.66Min: 21.09 / Avg: 235.18 / Max: 327.39

Neural Magic DeepSparse

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption MonitorSMT OnSMT Off130260390520650Min: 41.6 / Avg: 459.55 / Max: 712.43Min: 195.28 / Avg: 482.32 / Max: 698.28Min: 20.7 / Avg: 235.42 / Max: 345.62Min: 20.88 / Avg: 247.32 / Max: 358.25

Neural Magic DeepSparse

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.5CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 44.26 / Avg: 486.69 / Max: 702.22Min: 192.79 / Avg: 479.5 / Max: 693.71Min: 20.77 / Avg: 235.91 / Max: 344.85Min: 21.1 / Avg: 250.83 / Max: 357.61

Blender

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.6CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.04 / Avg: 405.53 / Max: 681.36Min: 196.82 / Avg: 459.78 / Max: 647.78Min: 20.52 / Avg: 245.21 / Max: 323.25Min: 21.06 / Avg: 242.87 / Max: 337.46

Blender

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.6CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 41.98 / Avg: 525.55 / Max: 684.07Min: 195.46 / Avg: 557.64 / Max: 654.85Min: 20.53 / Avg: 290.08 / Max: 328.71Min: 20.89 / Avg: 294.4 / Max: 340.14

Blender

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.6CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.57 / Avg: 439.22 / Max: 700.81Min: 194.02 / Avg: 484.54 / Max: 664Min: 20.68 / Avg: 257.96 / Max: 331.22Min: 20.92 / Avg: 259.04 / Max: 346.77

Blender

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.6CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 44.79 / Avg: 604.43 / Max: 701.89Min: 195.38 / Avg: 605.16 / Max: 674.35Min: 20.45 / Avg: 315.38 / Max: 335.91Min: 20.88 / Avg: 319.26 / Max: 346.14

Blender

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.6CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.07 / Avg: 552.47 / Max: 701.42Min: 194.9 / Avg: 571.12 / Max: 665.24Min: 21.11 / Avg: 297.19 / Max: 330.72Min: 21.55 / Avg: 303.74 / Max: 348.04

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 45.01 / Avg: 611.1 / Max: 703.01Min: 193.21 / Avg: 621.51 / Max: 702.85Min: 20.94 / Avg: 316.32 / Max: 349.13Min: 21.39 / Avg: 315.89 / Max: 357.76

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.22 / Avg: 524.02 / Max: 656.42Min: 199.54 / Avg: 537.68 / Max: 660.12Min: 20.69 / Avg: 306.74 / Max: 352.51Min: 21.09 / Avg: 304.04 / Max: 357.06

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 44.3 / Avg: 527.63 / Max: 662.1Min: 195.17 / Avg: 529.98 / Max: 666.79Min: 20.58 / Avg: 307.41 / Max: 349.24Min: 20.83 / Avg: 304.46 / Max: 356.65

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.88 / Avg: 597.65 / Max: 674.79Min: 193.73 / Avg: 615.75 / Max: 674.39Min: 20.5 / Avg: 276.2 / Max: 333.13Min: 10.52 / Avg: 252.92 / Max: 325.99

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 45.43 / Avg: 578.64 / Max: 665.53Min: 195.77 / Avg: 585.67 / Max: 664.94Min: 20.4 / Avg: 294.88 / Max: 329.14Min: 20.62 / Avg: 295.03 / Max: 335.3

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.91 / Avg: 602.26 / Max: 657.52Min: 195.61 / Avg: 613.08 / Max: 656.04Min: 20.85 / Avg: 299.11 / Max: 323.89Min: 21.17 / Avg: 297.12 / Max: 335.54

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 44.97 / Avg: 643.58 / Max: 697.31Min: 197.92 / Avg: 655.04 / Max: 695.42Min: 20.96 / Avg: 318.56 / Max: 343.94Min: 20.7 / Avg: 327.23 / Max: 352.86

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 44.56 / Avg: 611.86 / Max: 676.4Min: 197.64 / Avg: 618.57 / Max: 675.82Min: 20.68 / Avg: 303.27 / Max: 334.77Min: 21.17 / Avg: 293.93 / Max: 343.74

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 43.92 / Avg: 603.75 / Max: 664.52Min: 198.25 / Avg: 614.16 / Max: 663.84Min: 20.67 / Avg: 301.27 / Max: 325.39Min: 20.98 / Avg: 307.35 / Max: 332.52

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off110220330440550Min: 44.24 / Avg: 563.32 / Max: 629.29Min: 199.39 / Avg: 575.68 / Max: 630.57Min: 21.15 / Avg: 267.68 / Max: 294.4Min: 21.25 / Avg: 301.97 / Max: 348.43

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off100200300400500Min: 42.63 / Avg: 504.47 / Max: 594.16Min: 199.33 / Avg: 511.7 / Max: 565.18Min: 21.12 / Avg: 294.6 / Max: 327.84Min: 21.1 / Avg: 320.15 / Max: 350.37

OpenVINO

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption MonitorSMT OnSMT Off120240360480600Min: 42.85 / Avg: 599.24 / Max: 664.03Min: 196.32 / Avg: 577.61 / Max: 653.4Min: 20.96 / Avg: 278.47 / Max: 305.64Min: 21.48 / Avg: 310.01 / Max: 336.95

Appleseed

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption MonitorSMT OnSMT Off60120180240300Min: 44.3 / Avg: 290.19 / Max: 351.48Min: 199.89 / Avg: 289.71 / Max: 346.75Min: 20.77 / Avg: 173.02 / Max: 236.67Min: 21.17 / Avg: 177.28 / Max: 240.78

Aircrack-ng

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.7CPU Power Consumption MonitorSMT OffSMT On70140210280350Min: 42.14 / Avg: 362.8 / Max: 415.41Min: 20.61 / Avg: 229.46 / Max: 260.41Min: 21.31 / Avg: 234.62 / Max: 267.15

Appleseed

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption MonitorSMT OffSMT On70140210280350Min: 193.93 / Avg: 357.2 / Max: 399.57Min: 20.19 / Avg: 222.18 / Max: 246.09Min: 20.47 / Avg: 219.92 / Max: 241.15

Appleseed

CPU Power Consumption Monitor

EPYC 9754 2PEPYC 9754 1POpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption MonitorSMT OffSMT On50100150200250Min: 126.26 / Avg: 258.14 / Max: 281.63Min: 20.23 / Avg: 148.63 / Max: 164.7Min: 21.47 / Avg: 150.04 / Max: 165.18

nekRS

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetternekRS 23.0CPU Power Consumption MonitorSMT OffSMT On60120180240300Min: 20.08 / Avg: 298.09 / Max: 347.49Min: 21.32 / Avg: 293.57 / Max: 349.54

nekRS

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetternekRS 23.0CPU Power Consumption MonitorSMT OffSMT On60120180240300Min: 20.65 / Avg: 287.58 / Max: 350.2Min: 21.11 / Avg: 288.26 / Max: 349.64


Phoronix Test Suite v10.8.5