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&grr .
Processor Motherboard Chipset Memory Disk Graphics Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution EPYC 9754 1P EPYC 9754 2P SMT On SMT Off SMT On SMT Off AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads) AMD Titanite_4G (RTI1007B BIOS) AMD Device 14a4 768GB 2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007 ASPEED Broadcom NetXtreme BCM5720 PCIe Ubuntu 22.04 5.19.0-41-generic (x86_64) GNOME Shell 42.5 X Server 1.21.1.4 1.3.224 GCC 11.3.0 ext4 1024x768 AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores) 2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores / 512 Threads) 1520GB 2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores) OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler 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: 0xaa0010b Python Details - Python 3.10.6 Security Details - 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 - 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 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
cp2k: H2O-DFT-LS libxsmm: 128 pgbench: 1000 - 800 - Read Only - Average Latency pgbench: 1000 - 800 - Read Only tensorflow: CPU - 256 - ResNet-50 tensorflow: CPU - 512 - GoogLeNet openvkl: vklBenchmark ISPC tensorflow: CPU - 512 - ResNet-50 libxsmm: 256 stockfish: Total Time openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU luxcorerender: LuxCore Benchmark - CPU luxcorerender: Orange Juice - CPU deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream mysqlslap: 4096 build-llvm: Unix Makefiles nekrs: TurboPipe Periodic openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openssl: SHA256 openssl: SHA512 openssl: AES-256-GCM openssl: ChaCha20 openssl: AES-128-GCM openssl: ChaCha20-Poly1305 build-linux-kernel: allmodconfig ospray: particle_volume/scivis/real_time ospray-studio: 2 - 4K - 16 - Path Tracer ospray-studio: 1 - 4K - 16 - Path Tracer mysqlslap: 2048 build-gem5: Time To Compile graph500: 26 graph500: 26 graph500: 26 graph500: 26 openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU heffte: c2c - FFTW - double - 512 openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU ospray-studio: 3 - 4K - 32 - Path Tracer ospray-studio: 2 - 4K - 32 - Path Tracer srsran: PUSCH Processor Benchmark, Throughput Total openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU ospray-studio: 1 - 4K - 32 - Path Tracer ospray-studio: 1 - 4K - 1 - Path Tracer ospray: particle_volume/ao/real_time ospray-studio: 3 - 4K - 16 - Path Tracer deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream build-llvm: Ninja ospray-studio: 3 - 4K - 1 - Path Tracer ospray-studio: 2 - 4K - 1 - Path Tracer blender: Barbershop - CPU-Only build-nodejs: Time To Compile build-godot: Time To Compile appleseed: Material Tester appleseed: Emily deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream heffte: r2c - FFTW - double - 512 deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream tensorflow: CPU - 256 - GoogLeNet build-linux-kernel: defconfig tensorflow: CPU - 512 - AlexNet tensorflow: CPU - 256 - AlexNet xmrig: Monero - 1M openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU luxcorerender: DLSC - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU john-the-ripper: WPA PSK ospray: gravity_spheres_volume/dim_512/scivis/real_time ospray: gravity_spheres_volume/dim_512/ao/real_time openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU john-the-ripper: MD5 openssl: RSA4096 openssl: RSA4096 deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream helsing: 14 digit deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream specfem3d: Layered Halfspace compress-7zip: Decompression Rating compress-7zip: Compression Rating specfem3d: Homogeneous Halfspace blender: Pabellon Barcelona - CPU-Only npb: EP.D liquid-dsp: 512 - 256 - 512 specfem3d: Water-layered Halfspace liquid-dsp: 256 - 256 - 512 xmrig: Wownero - 1M namd: ATPase Simulation - 327,506 Atoms john-the-ripper: bcrypt john-the-ripper: Blowfish specfem3d: Tomographic Model minibude: OpenMP - BM2 minibude: OpenMP - BM2 luxcorerender: Rainbow Colors and Prism - CPU blender: Classroom - CPU-Only nekrs: Kershaw npb: BT.C aircrack-ng: npb: IS.D oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only appleseed: Disney Material npb: LU.C cloverleaf: Lagrangian-Eulerian Hydrodynamics specfem3d: Mount St. Helens primesieve: 1e13 heffte: c2c - FFTW - float - 512 blender: Fishy Cat - CPU-Only blender: BMW27 - CPU-Only astcenc: Exhaustive minife: Small toybrot: TBB oidn: RTLightmap.hdr.4096x4096 - CPU-Only npb: SP.C astcenc: Fast astcenc: Thorough toybrot: OpenMP heffte: r2c - FFTW - float - 512 npb: CG.C oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only embree: Pathtracer ISPC - Crown npb: FT.C embree: Pathtracer ISPC - Asian Dragon npb: SP.B minibude: OpenMP - BM1 minibude: OpenMP - BM1 npb: MG.C primesieve: 1e12 EPYC 9754 1P EPYC 9754 2P SMT On SMT Off SMT On SMT Off 5012.26 2713.4 0.952 855569 118.45 416.03 1396 122.77 3331.7 365034349 43.73 1464.29 12.18 24.47 267.7088 240.8667 655 211.079 2538406923 110.00 582.08 163633625553 53005879330 1012537766210 659346857987 1169673735557 462415837320 227.517 30.8165 13963 13759 780 161.648 445912000 333445000 880249000 857890000 2377.79 26.61 34.8451 2378.07 26.57 32972 27885 8389.0 10.40 6148.89 12.07 5311.48 27538 861 30.8507 16484 499.5866 126.9310 125.364 1032 873 116.54 113.704 105.797 166.676131 122.587709 46.4318 1376.2142 66.3418 152.9895 417.1186 504.09 26.225 1628.80 1422.08 24409.4 541.29 117.88 16.34 1049.31 60.77 810375 31.9245 32.6750 10.84 11794.32 0.83 120515.11 1.21 85400.88 10.53 6067.78 20312667 1890935.3 54195.1 859.8653 73.3807 859.877 73.2077 201.6258 316.0466 50.473 102.2265 624.4789 65.9747 968.6267 15.964931688 791787 726271 9.404348500 39.27 13264.79 1783700000 17.194492779 1696766667 74803.6 0.20702 216064 216115 7.480674706 238.905 5972.643 20.88 31.12 5808636667 292243.61 171120.354 5300.29 3.62 44.30492 279662.55 12.00 6.216379849 21.286 128.124 16.49 12.77 8.1743 51784.1 3591 1.74 131909.91 1190.7549 75.0831 4081 245.542 45686.88 3.62 125.5813 140791.52 157.6504 149355.54 237.763 5944.062 128129.56 1.944 4957.686 2696.5 0.917 877722 121.47 429.16 1107 123.88 3813.4 272722940 11.49 2784.67 8.88 20.98 259.2779 246.3732 695 213.907 2586083333 58.71 545.13 111414557280 51804333637 997034621883 550700307433 1152838928063 392782689987 177.758 23.7210 18269 18004 783 148.484 493535000 363750000 928320000 893624000 1105.96 28.74 35.4049 1102.82 28.83 43371 36539 20430.9 6.24 5118.29 4.74 6744.66 35926 1127 23.7333 21666 468.7809 134.5717 119.576 1358 1146 147.22 116.122 102.588 167.900597 123.298396 35.5549 1780.4421 67.9907 125.4467 504.3578 525.39 22.984 1526.81 1375.33 51218.9 268.82 119.01 13.27 513.23 62.18 676218 25.5121 25.7178 10.91 11710.59 0.70 113162.29 1.30 71673.85 5.47 5837.62 16751667 1799293.0 56647.3 644.9768 96.9697 645.0019 97.0913 156.0563 404.2338 57.956 77.8148 812.1023 49.5111 1275.7707 15.028121929 510470 592741 6.092750299 50.01 14274.53 1414700000 13.419454501 1313933333 63182.2 0.20595 163220 163263 4.937265506 236.128 5903.205 14.37 38.44 5734266667 298801.44 149056.953 5315.15 3.57 38.492263 289518.14 9.27 5.030031580 21.132 128.597 20.47 15.15 7.3147 51741.0 5590 1.72 133415.42 1278.6466 68.3072 6242 248.557 48672.24 3.57 85.2893 147448.72 107.3608 161475.24 234.684 5867.108 136942.13 1.796 2143.513 4976.7 0.974 827878 124.98 538.52 1720 172.36 6112.6 582386924 11.03 5810.41 9.86 34.45 229.1624 556.9411 545 199.365 55.12 1159.99 327926038513 106049655203 2019317070327 1317549954027 2339890700107 909817360110 145.929 49.2311 7817 7698 580 152.586 960471000 672541000 1724030000 1571100000 1559.95 40.67 109.645 1552.15 40.90 18455 15731 17891.4 6.46 9889.61 4.83 13214.20 15619 482 49.1328 9253 521.3108 242.9589 107.721 582 495 69.03 93.271 100.790 164.567164 48.6206 2627.3142 207.197 159.8861 797.6248 329.22 20.344 1770.91 1225.41 86533.7 270.93 235.65 18.61 526.98 121.03 1524533 52.7318 53.8295 11.00 22954.44 0.62 168372.89 1.08 133931.53 5.64 11299.32 34879333 3782091.8 108490.5 902.8593 139.6590 902.7792 139.8821 211.4848 602.2602 27.280 107.1835 1190.7168 68.3638 1868.3310 9.997447570 1353957 925820 4.727830148 21.75 23705.40 3330166667 9.778381437 2544400000 142082.7 0.10646 407860 409850 3.782741798 315.524 7888.085 19.02 16.28 491231.83 9849.01 4.78 591505.17 21.65 3.906675095 11.120 221.765 9.87 7.12 15.9305 62774.2 2014 2.35 224243.28 610.1137 134.8853 3321 433.601 67554.74 4.76 210.0714 211432.89 255.9864 236490.76 253.123 6328.069 249109.09 1.508 2363.579 4505.5 1.018 785968 146.74 634.13 1530 189.40 6373.0 447023143 10.26 6242.68 6.97 25.11 212.6821 590.8789 579 198.750 54.42 1174.99 222269428867 102232233590 1998234148863 1100453394570 2307524535457 784489570523 118.099 41.5531 10232 10046 591 148.376 1075900000 770180000 2078880000 1815160000 1545.23 41.05 112.413 1579.14 40.20 24238 20545 36573.8 6.47 9878.88 4.86 13141.51 20133 631 41.6567 12127 426.7362 290.7562 99.215 763 645 85.54 93.952 100.240 265.885808 159.906614 45.8765 2730.4980 210.933 118.1285 1058.6776 452.99 18.474 1908.76 1581.66 85946.0 271.24 235.37 14.45 526.46 121.08 1301500 44.2889 44.7104 11.10 22955.64 0.67 142135.58 1.13 118225.55 5.61 11373.95 30221667 3598946.3 113251.4 676.8128 182.4453 676.4342 182.5974 162.0191 770.1392 50.054 81.1994 1541.9512 51.8103 2409.8035 7.470772930 913091 771462 3.451830169 27.47 25983.74 2610933333 6.218069257 2542633333 100754.3 0.13969 317046 320885 2.709205428 439.597 10989.938 13.51 20.24 536518.74 128050.219 8635.30 4.31 40.570691 658754.21 15.15 2.630122599 11.152 223.584 11.72 8.45 14.4099 53798.6 2976 2.09 231041.57 693.3961 127.2088 3671 430.265 66822.97 4.35 146.2051 224178.10 178.3046 246272.79 439.067 10976.682 268721.05 1.160 OpenBenchmarking.org
CP2K Molecular Dynamics Input: H2O-DFT-LS EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better CP2K Molecular Dynamics 2023.1 Input: H2O-DFT-LS SMT On SMT Off 1100 2200 3300 4400 5500 5012.26 4957.69 2143.51 2363.58 1. (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
libxsmm M N K: 128 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 128 SMT On SMT Off 1100 2200 3300 4400 5500 SE +/- 0.99, N = 3 SE +/- 19.26, N = 3 SE +/- 62.14, N = 4 SE +/- 114.55, N = 9 2713.4 2696.5 4976.7 4505.5 1. (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
PostgreSQL Scaling Factor: 1000 - Clients: 800 - Mode: Read Only - Average Latency EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 15 Scaling Factor: 1000 - Clients: 800 - Mode: Read Only - Average Latency SMT On SMT Off 0.2291 0.4582 0.6873 0.9164 1.1455 SE +/- 0.040, N = 9 SE +/- 0.020, N = 12 SE +/- 0.025, N = 12 SE +/- 0.006, N = 3 0.952 0.917 0.974 1.018 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL Scaling Factor: 1000 - Clients: 800 - Mode: Read Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org TPS, More Is Better PostgreSQL 15 Scaling Factor: 1000 - Clients: 800 - Mode: Read Only SMT On SMT Off 200K 400K 600K 800K 1000K SE +/- 45813.37, N = 9 SE +/- 21185.07, N = 12 SE +/- 23693.25, N = 12 SE +/- 4149.87, N = 3 855569 877722 827878 785968 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
TensorFlow Device: CPU - Batch Size: 256 - Model: ResNet-50 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: ResNet-50 SMT On SMT Off 30 60 90 120 150 SE +/- 1.07, N = 12 SE +/- 1.45, N = 12 SE +/- 1.70, N = 3 SE +/- 0.68, N = 3 118.45 121.47 124.98 146.74
TensorFlow Device: CPU - Batch Size: 512 - Model: GoogLeNet EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: GoogLeNet SMT On SMT Off 140 280 420 560 700 SE +/- 4.74, N = 12 SE +/- 5.79, N = 12 SE +/- 4.51, N = 15 SE +/- 6.73, N = 3 416.03 429.16 538.52 634.13
OpenVKL Benchmark: vklBenchmark ISPC EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC SMT On SMT Off 400 800 1200 1600 2000 SE +/- 1.86, N = 3 SE +/- 0.33, N = 3 SE +/- 6.06, N = 3 SE +/- 1.33, N = 3 1396 1107 1720 1530
TensorFlow Device: CPU - Batch Size: 512 - Model: ResNet-50 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: ResNet-50 SMT On SMT Off 40 80 120 160 200 SE +/- 0.90, N = 3 SE +/- 1.35, N = 3 SE +/- 0.59, N = 3 SE +/- 0.13, N = 3 122.77 123.88 172.36 189.40
libxsmm M N K: 256 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 256 SMT On SMT Off 1400 2800 4200 5600 7000 SE +/- 2.32, N = 3 SE +/- 16.75, N = 3 SE +/- 1.43, N = 3 SE +/- 66.66, N = 9 3331.7 3813.4 6112.6 6373.0 1. (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
Stockfish Total Time EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 15 Total Time SMT On SMT Off 120M 240M 360M 480M 600M SE +/- 7021012.10, N = 12 SE +/- 5762415.88, N = 15 SE +/- 9265130.36, N = 15 SE +/- 6859221.31, N = 12 365034349 272722940 582386924 447023143 1. (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
OpenVINO Model: Vehicle Detection FP16 - Device: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU SMT On SMT Off 10 20 30 40 50 SE +/- 0.55, N = 14 SE +/- 0.10, N = 13 SE +/- 0.15, N = 15 SE +/- 0.12, N = 13 43.73 11.49 11.03 10.26 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU SMT On SMT Off 1300 2600 3900 5200 6500 SE +/- 21.50, N = 14 SE +/- 25.69, N = 13 SE +/- 93.68, N = 15 SE +/- 87.31, N = 13 1464.29 2784.67 5810.41 6242.68 1. (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
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: CPU SMT On SMT Off 3 6 9 12 15 SE +/- 0.09, N = 15 SE +/- 0.08, N = 8 SE +/- 0.11, N = 15 SE +/- 0.11, N = 12 12.18 8.88 9.86 6.97
LuxCoreRender Scene: Orange Juice - Acceleration: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU SMT On SMT Off 8 16 24 32 40 SE +/- 0.30, N = 15 SE +/- 0.03, N = 3 SE +/- 1.35, N = 15 SE +/- 0.60, N = 15 24.47 20.98 34.45 25.11
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream SMT On SMT Off 60 120 180 240 300 SE +/- 6.66, N = 15 SE +/- 6.30, N = 15 SE +/- 2.29, N = 15 SE +/- 3.96, N = 15 267.71 259.28 229.16 212.68
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream SMT On SMT Off 130 260 390 520 650 SE +/- 7.96, N = 15 SE +/- 8.20, N = 15 SE +/- 6.10, N = 15 SE +/- 11.89, N = 15 240.87 246.37 556.94 590.88
MariaDB Clients: 4096 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.0.1 Clients: 4096 SMT On SMT Off 150 300 450 600 750 SE +/- 8.08, N = 3 SE +/- 3.99, N = 3 SE +/- 5.45, N = 6 SE +/- 1.48, N = 3 655 695 545 579 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl
Timed LLVM Compilation Build System: Unix Makefiles EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Unix Makefiles SMT On SMT Off 50 100 150 200 250 SE +/- 0.15, N = 3 SE +/- 0.70, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 211.08 213.91 199.37 198.75
nekRS Input: TurboPipe Periodic OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: TurboPipe Periodic SMT On SMT Off 600M 1200M 1800M 2400M 3000M SE +/- 62315945.32, N = 13 SE +/- 87729075.59, N = 15 2538406923 2586083333 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU SMT On SMT Off 20 40 60 80 100 SE +/- 1.12, N = 15 SE +/- 0.45, N = 15 SE +/- 0.35, N = 3 SE +/- 0.21, N = 3 110.00 58.71 55.12 54.42 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU SMT On SMT Off 300 600 900 1200 1500 SE +/- 6.51, N = 15 SE +/- 4.46, N = 15 SE +/- 7.44, N = 3 SE +/- 4.51, N = 3 582.08 545.13 1159.99 1174.99 1. (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
OpenSSL Algorithm: SHA256 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA256 SMT On SMT Off 70000M 140000M 210000M 280000M 350000M SE +/- 161352968.33, N = 3 SE +/- 15184699.42, N = 3 SE +/- 207719324.78, N = 3 SE +/- 224959781.68, N = 3 163633625553 111414557280 327926038513 222269428867 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: SHA512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 SMT On SMT Off 20000M 40000M 60000M 80000M 100000M SE +/- 4276543.39, N = 3 SE +/- 19506083.54, N = 3 SE +/- 22577791.79, N = 3 SE +/- 660141733.06, N = 3 53005879330 51804333637 106049655203 102232233590 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: AES-256-GCM EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM SMT On SMT Off 400000M 800000M 1200000M 1600000M 2000000M SE +/- 2018584981.53, N = 3 SE +/- 917614258.55, N = 3 SE +/- 676471418.80, N = 3 SE +/- 2904032106.06, N = 3 1012537766210 997034621883 2019317070327 1998234148863 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: ChaCha20 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 SMT On SMT Off 300000M 600000M 900000M 1200000M 1500000M SE +/- 23916253.09, N = 3 SE +/- 70893114.79, N = 3 SE +/- 46014499.85, N = 3 SE +/- 107897909.37, N = 3 659346857987 550700307433 1317549954027 1100453394570 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: AES-128-GCM EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM SMT On SMT Off 500000M 1000000M 1500000M 2000000M 2500000M SE +/- 404585301.69, N = 3 SE +/- 772883363.35, N = 3 SE +/- 4494053056.14, N = 3 SE +/- 4718005576.14, N = 3 1169673735557 1152838928063 2339890700107 2307524535457 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: ChaCha20-Poly1305 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 SMT On SMT Off 200000M 400000M 600000M 800000M 1000000M SE +/- 15599558.91, N = 3 SE +/- 86138373.27, N = 3 SE +/- 267574958.87, N = 3 SE +/- 39882779.79, N = 3 462415837320 392782689987 909817360110 784489570523 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Timed Linux Kernel Compilation Build: allmodconfig EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig SMT On SMT Off 50 100 150 200 250 SE +/- 1.35, N = 3 SE +/- 0.48, N = 3 SE +/- 0.51, N = 3 SE +/- 0.55, N = 3 227.52 177.76 145.93 118.10
OSPRay Benchmark: particle_volume/scivis/real_time EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time SMT On SMT Off 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 30.82 23.72 49.23 41.55
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer SMT On SMT Off 4K 8K 12K 16K 20K SE +/- 6.12, N = 3 SE +/- 11.93, N = 3 SE +/- 19.63, N = 3 SE +/- 5.29, N = 3 13963 18269 7817 10232 1. (CXX) g++ options: -O3 -lm -ldl
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer SMT On SMT Off 4K 8K 12K 16K 20K SE +/- 5.78, N = 3 SE +/- 18.26, N = 3 SE +/- 7.80, N = 3 SE +/- 14.52, N = 3 13759 18004 7698 10046 1. (CXX) g++ options: -O3 -lm -ldl
MariaDB Clients: 2048 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.0.1 Clients: 2048 SMT On SMT Off 200 400 600 800 1000 SE +/- 1.81, N = 3 SE +/- 1.06, N = 3 SE +/- 8.04, N = 3 SE +/- 0.73, N = 3 780 783 580 591 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl
Timed Gem5 Compilation Time To Compile EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 21.2 Time To Compile SMT On SMT Off 40 80 120 160 200 SE +/- 0.32, N = 3 SE +/- 0.50, N = 3 SE +/- 1.29, N = 3 SE +/- 1.24, N = 3 161.65 148.48 152.59 148.38
Graph500 Scale: 26 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org sssp max_TEPS, More Is Better Graph500 3.0 Scale: 26 SMT On SMT Off 200M 400M 600M 800M 1000M 445912000 493535000 960471000 1075900000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
Graph500 Scale: 26 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org sssp median_TEPS, More Is Better Graph500 3.0 Scale: 26 SMT On SMT Off 160M 320M 480M 640M 800M 333445000 363750000 672541000 770180000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
Graph500 Scale: 26 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org bfs max_TEPS, More Is Better Graph500 3.0 Scale: 26 SMT On SMT Off 400M 800M 1200M 1600M 2000M 880249000 928320000 1724030000 2078880000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
Graph500 Scale: 26 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org bfs median_TEPS, More Is Better Graph500 3.0 Scale: 26 SMT On SMT Off 400M 800M 1200M 1600M 2000M 857890000 893624000 1571100000 1815160000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
OpenVINO Model: Person Detection FP16 - Device: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU SMT On SMT Off 500 1000 1500 2000 2500 SE +/- 16.41, N = 12 SE +/- 8.36, N = 9 SE +/- 4.07, N = 3 SE +/- 10.43, N = 3 2377.79 1105.96 1559.95 1545.23 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU SMT On SMT Off 9 18 27 36 45 SE +/- 0.20, N = 12 SE +/- 0.23, N = 9 SE +/- 0.14, N = 3 SE +/- 0.29, N = 3 26.61 28.74 40.67 41.05 1. (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
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 SMT On SMT Off 30 60 90 120 150 SE +/- 2.09, N = 15 SE +/- 2.10, N = 15 SE +/- 0.77, N = 3 SE +/- 1.48, N = 3 34.85 35.40 109.65 112.41 1. (CXX) g++ options: -O3
OpenVINO Model: Person Detection FP32 - Device: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU SMT On SMT Off 500 1000 1500 2000 2500 SE +/- 12.47, N = 15 SE +/- 10.77, N = 5 SE +/- 8.82, N = 3 SE +/- 4.61, N = 3 2378.07 1102.82 1552.15 1579.14 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU SMT On SMT Off 9 18 27 36 45 SE +/- 0.15, N = 15 SE +/- 0.29, N = 5 SE +/- 0.22, N = 3 SE +/- 0.14, N = 3 26.57 28.83 40.90 40.20 1. (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
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer SMT On SMT Off 9K 18K 27K 36K 45K SE +/- 17.58, N = 3 SE +/- 76.61, N = 3 SE +/- 34.44, N = 3 SE +/- 17.91, N = 3 32972 43371 18455 24238 1. (CXX) g++ options: -O3 -lm -ldl
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer SMT On SMT Off 8K 16K 24K 32K 40K SE +/- 21.53, N = 3 SE +/- 53.62, N = 3 SE +/- 41.40, N = 3 SE +/- 96.56, N = 3 27885 36539 15731 20545 1. (CXX) g++ options: -O3 -lm -ldl
srsRAN Project Test: PUSCH Processor Benchmark, Throughput Total EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Total SMT On SMT Off 8K 16K 24K 32K 40K SE +/- 50.60, N = 3 SE +/- 54.33, N = 3 SE +/- 831.80, N = 15 SE +/- 211.99, N = 3 8389.0 20430.9 17891.4 36573.8 1. (CXX) g++ options: -march=native -mfma -O3 -fno-trapping-math -fno-math-errno -lgtest
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU SMT On SMT Off 3 6 9 12 15 SE +/- 0.08, N = 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 10.40 6.24 6.46 6.47 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU SMT On SMT Off 2K 4K 6K 8K 10K SE +/- 48.86, N = 15 SE +/- 5.00, N = 3 SE +/- 11.31, N = 3 SE +/- 10.15, N = 3 6148.89 5118.29 9889.61 9878.88 1. (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 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU SMT On SMT Off 3 6 9 12 15 SE +/- 0.20, N = 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 12.07 4.74 4.83 4.86 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU SMT On SMT Off 3K 6K 9K 12K 15K SE +/- 103.73, N = 15 SE +/- 3.11, N = 3 SE +/- 7.09, N = 3 SE +/- 2.74, N = 3 5311.48 6744.66 13214.20 13141.51 1. (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
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer SMT On SMT Off 8K 16K 24K 32K 40K SE +/- 10.48, N = 3 SE +/- 29.21, N = 3 SE +/- 64.83, N = 3 SE +/- 38.84, N = 3 27538 35926 15619 20133 1. (CXX) g++ options: -O3 -lm -ldl
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer SMT On SMT Off 200 400 600 800 1000 SE +/- 0.88, N = 3 SE +/- 1.20, N = 3 SE +/- 2.85, N = 3 SE +/- 0.58, N = 3 861 1127 482 631 1. (CXX) g++ options: -O3 -lm -ldl
OSPRay Benchmark: particle_volume/ao/real_time EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time SMT On SMT Off 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 30.85 23.73 49.13 41.66
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer SMT On SMT Off 5K 10K 15K 20K 25K SE +/- 11.89, N = 3 SE +/- 15.65, N = 3 SE +/- 27.17, N = 3 SE +/- 8.65, N = 3 16484 21666 9253 12127 1. (CXX) g++ options: -O3 -lm -ldl
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream SMT On SMT Off 110 220 330 440 550 SE +/- 0.68, N = 3 SE +/- 8.17, N = 15 SE +/- 0.26, N = 3 SE +/- 3.79, N = 3 499.59 468.78 521.31 426.74
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream SMT On SMT Off 60 120 180 240 300 SE +/- 0.15, N = 3 SE +/- 2.61, N = 15 SE +/- 0.12, N = 3 SE +/- 2.51, N = 3 126.93 134.57 242.96 290.76
Timed LLVM Compilation Build System: Ninja EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Ninja SMT On SMT Off 30 60 90 120 150 SE +/- 0.29, N = 3 SE +/- 0.18, N = 3 SE +/- 0.91, N = 3 SE +/- 0.70, N = 3 125.36 119.58 107.72 99.22
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer SMT On SMT Off 300 600 900 1200 1500 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.88, N = 3 1032 1358 582 763 1. (CXX) g++ options: -O3 -lm -ldl
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer SMT On SMT Off 200 400 600 800 1000 SE +/- 0.88, N = 3 SE +/- 1.53, N = 3 SE +/- 1.45, N = 3 SE +/- 0.33, N = 3 873 1146 495 645 1. (CXX) g++ options: -O3 -lm -ldl
Blender Blend File: Barbershop - Compute: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only SMT On SMT Off 30 60 90 120 150 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.08, N = 3 116.54 147.22 69.03 85.54
Timed Node.js Compilation Time To Compile EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 19.8.1 Time To Compile SMT On SMT Off 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 113.70 116.12 93.27 93.95
Timed Godot Game Engine Compilation Time To Compile EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Timed Godot Game Engine Compilation 4.0 Time To Compile SMT On SMT Off 20 40 60 80 100 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 SE +/- 1.01, N = 3 SE +/- 0.30, N = 3 105.80 102.59 100.79 100.24
Appleseed Scene: Material Tester EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester SMT On SMT Off 60 120 180 240 300 166.68 167.90 265.89
Appleseed Scene: Emily EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Emily SMT On SMT Off 40 80 120 160 200 122.59 123.30 164.57 159.91
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream SMT On SMT Off 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.57, N = 15 46.43 35.55 48.62 45.88
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream SMT On SMT Off 600 1200 1800 2400 3000 SE +/- 1.21, N = 3 SE +/- 3.84, N = 3 SE +/- 6.95, N = 3 SE +/- 33.47, N = 15 1376.21 1780.44 2627.31 2730.50
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 SMT On SMT Off 50 100 150 200 250 SE +/- 3.14, N = 15 SE +/- 3.41, N = 15 SE +/- 0.28, N = 5 SE +/- 1.62, N = 5 66.34 67.99 207.20 210.93 1. (CXX) g++ options: -O3
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream SMT On SMT Off 40 80 120 160 200 SE +/- 0.16, N = 3 SE +/- 1.18, N = 15 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 152.99 125.45 159.89 118.13
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream SMT On SMT Off 200 400 600 800 1000 SE +/- 0.46, N = 3 SE +/- 5.07, N = 15 SE +/- 0.32, N = 3 SE +/- 0.90, N = 3 417.12 504.36 797.62 1058.68
TensorFlow Device: CPU - Batch Size: 256 - Model: GoogLeNet EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: GoogLeNet SMT On SMT Off 110 220 330 440 550 SE +/- 3.39, N = 3 SE +/- 0.35, N = 3 SE +/- 1.69, N = 3 SE +/- 5.52, N = 4 504.09 525.39 329.22 452.99
Timed Linux Kernel Compilation Build: defconfig EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig SMT On SMT Off 6 12 18 24 30 SE +/- 0.23, N = 7 SE +/- 0.21, N = 7 SE +/- 0.14, N = 13 SE +/- 0.12, N = 13 26.23 22.98 20.34 18.47
TensorFlow Device: CPU - Batch Size: 512 - Model: AlexNet EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: AlexNet SMT On SMT Off 400 800 1200 1600 2000 SE +/- 1.79, N = 3 SE +/- 3.13, N = 3 SE +/- 15.22, N = 15 SE +/- 18.22, N = 3 1628.80 1526.81 1770.91 1908.76
TensorFlow Device: CPU - Batch Size: 256 - Model: AlexNet EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: AlexNet SMT On SMT Off 300 600 900 1200 1500 SE +/- 3.81, N = 3 SE +/- 8.29, N = 3 SE +/- 14.23, N = 15 SE +/- 11.49, N = 15 1422.08 1375.33 1225.41 1581.66
Xmrig Variant: Monero - Hash Count: 1M EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org H/s, More Is Better Xmrig 6.18.1 Variant: Monero - Hash Count: 1M SMT On SMT Off 20K 40K 60K 80K 100K SE +/- 587.76, N = 15 SE +/- 513.99, N = 3 SE +/- 871.70, N = 4 SE +/- 83.35, N = 4 24409.4 51218.9 86533.7 85946.0 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU SMT On SMT Off 120 240 360 480 600 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 541.29 268.82 270.93 271.24 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU SMT On SMT Off 50 100 150 200 250 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 117.88 119.01 235.65 235.37 1. (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
LuxCoreRender Scene: DLSC - Acceleration: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: CPU SMT On SMT Off 5 10 15 20 25 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 4 SE +/- 0.10, N = 3 16.34 13.27 18.61 14.45
OpenVINO Model: Face Detection FP16 - Device: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU SMT On SMT Off 200 400 600 800 1000 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.18, N = 3 SE +/- 0.28, N = 3 1049.31 513.23 526.98 526.46 1. (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 - Device: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU SMT On SMT Off 30 60 90 120 150 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 60.77 62.18 121.03 121.08 1. (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
John The Ripper Test: WPA PSK EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: WPA PSK SMT On SMT Off 300K 600K 900K 1200K 1500K SE +/- 505.98, N = 3 SE +/- 6933.79, N = 3 SE +/- 18163.51, N = 15 SE +/- 15887.63, N = 4 810375 676218 1524533 1301500 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time SMT On SMT Off 12 24 36 48 60 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 31.92 25.51 52.73 44.29
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time SMT On SMT Off 12 24 36 48 60 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 32.68 25.72 53.83 44.71
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU SMT On SMT Off 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 10.84 10.91 11.00 11.10 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU SMT On SMT Off 5K 10K 15K 20K 25K SE +/- 2.13, N = 3 SE +/- 13.11, N = 3 SE +/- 16.03, N = 3 SE +/- 15.58, N = 3 11794.32 11710.59 22954.44 22955.64 1. (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 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU SMT On SMT Off 0.1868 0.3736 0.5604 0.7472 0.934 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.83 0.70 0.62 0.67 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU SMT On SMT Off 40K 80K 120K 160K 200K SE +/- 390.62, N = 3 SE +/- 202.90, N = 3 SE +/- 676.62, N = 3 SE +/- 158.47, N = 3 120515.11 113162.29 168372.89 142135.58 1. (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 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU SMT On SMT Off 0.2925 0.585 0.8775 1.17 1.4625 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.21 1.30 1.08 1.13 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU SMT On SMT Off 30K 60K 90K 120K 150K SE +/- 192.97, N = 3 SE +/- 126.57, N = 3 SE +/- 602.14, N = 3 SE +/- 420.06, N = 3 85400.88 71673.85 133931.53 118225.55 1. (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 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU SMT On SMT Off 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 10.53 5.47 5.64 5.61 1. (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 1P EPYC 9754 2P OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU SMT On SMT Off 2K 4K 6K 8K 10K SE +/- 0.58, N = 3 SE +/- 11.25, N = 3 SE +/- 9.34, N = 3 SE +/- 2.58, N = 3 6067.78 5837.62 11299.32 11373.95 1. (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
John The Ripper Test: MD5 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: MD5 SMT On SMT Off 7M 14M 21M 28M 35M SE +/- 52818.35, N = 3 SE +/- 35950.58, N = 3 SE +/- 83819.91, N = 3 SE +/- 140717.61, N = 3 20312667 16751667 34879333 30221667 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
OpenSSL Algorithm: RSA4096 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 SMT On SMT Off 800K 1600K 2400K 3200K 4000K SE +/- 405.88, N = 3 SE +/- 1031.37, N = 3 SE +/- 163.02, N = 3 SE +/- 1067.40, N = 3 1890935.3 1799293.0 3782091.8 3598946.3 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: RSA4096 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 SMT On SMT Off 20K 40K 60K 80K 100K SE +/- 16.66, N = 3 SE +/- 1.80, N = 3 SE +/- 3.93, N = 3 SE +/- 3.85, N = 3 54195.1 56647.3 108490.5 113251.4 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream SMT On SMT Off 200 400 600 800 1000 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.27, N = 3 SE +/- 0.02, N = 3 859.87 644.98 902.86 676.81
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream SMT On SMT Off 40 80 120 160 200 SE +/- 0.25, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 73.38 96.97 139.66 182.45
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream SMT On SMT Off 200 400 600 800 1000 SE +/- 0.49, N = 3 SE +/- 0.12, N = 3 SE +/- 0.45, N = 3 SE +/- 0.21, N = 3 859.88 645.00 902.78 676.43
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream SMT On SMT Off 40 80 120 160 200 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.18, N = 3 73.21 97.09 139.88 182.60
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream SMT On SMT Off 50 100 150 200 250 SE +/- 0.54, N = 3 SE +/- 0.81, N = 3 SE +/- 0.18, N = 3 SE +/- 0.09, N = 3 201.63 156.06 211.48 162.02
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream SMT On SMT Off 170 340 510 680 850 SE +/- 1.02, N = 3 SE +/- 2.15, N = 3 SE +/- 0.72, N = 3 SE +/- 0.92, N = 3 316.05 404.23 602.26 770.14
Helsing Digit Range: 14 digit EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Helsing 1.0-beta Digit Range: 14 digit SMT On SMT Off 13 26 39 52 65 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.37, N = 3 SE +/- 0.31, N = 3 50.47 57.96 27.28 50.05 1. (CC) gcc options: -O2 -pthread
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream SMT On SMT Off 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.37, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 102.23 77.81 107.18 81.20
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream SMT On SMT Off 300 600 900 1200 1500 SE +/- 0.29, N = 3 SE +/- 3.93, N = 3 SE +/- 1.02, N = 3 SE +/- 1.38, N = 3 624.48 812.10 1190.72 1541.95
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream SMT On SMT Off 15 30 45 60 75 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 65.97 49.51 68.36 51.81
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream SMT On SMT Off 500 1000 1500 2000 2500 SE +/- 0.74, N = 3 SE +/- 5.02, N = 3 SE +/- 1.60, N = 3 SE +/- 1.63, N = 3 968.63 1275.77 1868.33 2409.80
SPECFEM3D Model: Layered Halfspace EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace SMT On SMT Off 4 8 12 16 20 SE +/- 0.034780206, N = 3 SE +/- 0.159428812, N = 3 SE +/- 0.066481426, N = 15 SE +/- 0.056354216, N = 4 15.964931688 15.028121929 9.997447570 7.470772930 1. (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
7-Zip Compression Test: Decompression Rating EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating SMT On SMT Off 300K 600K 900K 1200K 1500K SE +/- 1608.29, N = 3 SE +/- 429.17, N = 3 SE +/- 5499.45, N = 3 SE +/- 1897.81, N = 3 791787 510470 1353957 913091 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Compression Rating EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating SMT On SMT Off 200K 400K 600K 800K 1000K SE +/- 1345.49, N = 3 SE +/- 4792.89, N = 3 SE +/- 5539.49, N = 3 SE +/- 4721.80, N = 3 726271 592741 925820 771462 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
SPECFEM3D Model: Homogeneous Halfspace EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Homogeneous Halfspace SMT On SMT Off 3 6 9 12 15 SE +/- 0.048294894, N = 4 SE +/- 0.044108994, N = 15 SE +/- 0.120152278, N = 15 SE +/- 0.065109589, N = 12 9.404348500 6.092750299 4.727830148 3.451830169 1. (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
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only SMT On SMT Off 11 22 33 44 55 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 39.27 50.01 21.75 27.47
NAS Parallel Benchmarks Test / Class: EP.D EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D SMT On SMT Off 6K 12K 18K 24K 30K SE +/- 214.86, N = 15 SE +/- 54.02, N = 5 SE +/- 413.32, N = 15 SE +/- 940.02, N = 12 13264.79 14274.53 23705.40 25983.74 1. (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
Liquid-DSP Threads: 512 - Buffer Length: 256 - Filter Length: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 512 - Buffer Length: 256 - Filter Length: 512 SMT On SMT Off 700M 1400M 2100M 2800M 3500M SE +/- 1814754.35, N = 3 SE +/- 2946183.97, N = 3 SE +/- 569600.25, N = 3 SE +/- 3555434.03, N = 3 1783700000 1414700000 3330166667 2610933333 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
SPECFEM3D Model: Water-layered Halfspace EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Water-layered Halfspace SMT On SMT Off 4 8 12 16 20 SE +/- 0.142353904, N = 3 SE +/- 0.021567327, N = 3 SE +/- 0.063515594, N = 4 SE +/- 0.062799204, N = 15 17.194492779 13.419454501 9.778381437 6.218069257 1. (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
Liquid-DSP Threads: 256 - Buffer Length: 256 - Filter Length: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 256 - Buffer Length: 256 - Filter Length: 512 SMT On SMT Off 500M 1000M 1500M 2000M 2500M SE +/- 470224.53, N = 3 SE +/- 592546.29, N = 3 SE +/- 1877054.43, N = 3 SE +/- 1068228.02, N = 3 1696766667 1313933333 2544400000 2542633333 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Xmrig Variant: Wownero - Hash Count: 1M EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org H/s, More Is Better Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M SMT On SMT Off 30K 60K 90K 120K 150K SE +/- 513.11, N = 15 SE +/- 13.77, N = 4 SE +/- 677.82, N = 5 SE +/- 741.13, N = 4 74803.6 63182.2 142082.7 100754.3 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
NAMD ATPase Simulation - 327,506 Atoms EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms SMT On SMT Off 0.0466 0.0932 0.1398 0.1864 0.233 SE +/- 0.00095, N = 4 SE +/- 0.00018, N = 4 SE +/- 0.00040, N = 3 SE +/- 0.00135, N = 5 0.20702 0.20595 0.10646 0.13969
John The Ripper Test: bcrypt EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: bcrypt SMT On SMT Off 90K 180K 270K 360K 450K SE +/- 92.54, N = 3 SE +/- 33.22, N = 3 SE +/- 2298.36, N = 3 SE +/- 1964.45, N = 3 216064 163220 407860 317046 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
John The Ripper Test: Blowfish EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: Blowfish SMT On SMT Off 90K 180K 270K 360K 450K SE +/- 117.40, N = 3 SE +/- 12.67, N = 3 SE +/- 3726.56, N = 3 SE +/- 1247.49, N = 3 216115 163263 409850 320885 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
SPECFEM3D Model: Tomographic Model EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Tomographic Model SMT On SMT Off 2 4 6 8 10 SE +/- 0.080164897, N = 5 SE +/- 0.048140615, N = 15 SE +/- 0.086611165, N = 15 SE +/- 0.014728964, N = 6 7.480674706 4.937265506 3.782741798 2.709205428 1. (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
miniBUDE Implementation: OpenMP - Input Deck: BM2 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 SMT On SMT Off 100 200 300 400 500 SE +/- 0.01, N = 3 SE +/- 0.25, N = 3 SE +/- 0.43, N = 4 SE +/- 6.02, N = 12 238.91 236.13 315.52 439.60 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM2 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 SMT On SMT Off 2K 4K 6K 8K 10K SE +/- 0.21, N = 3 SE +/- 6.13, N = 3 SE +/- 10.75, N = 4 SE +/- 150.60, N = 12 5972.64 5903.21 7888.09 10989.94 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
LuxCoreRender Scene: Rainbow Colors and Prism - Acceleration: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: CPU SMT On SMT Off 5 10 15 20 25 SE +/- 0.03, N = 5 SE +/- 0.04, N = 4 SE +/- 0.03, N = 5 SE +/- 0.35, N = 15 20.88 14.37 19.02 13.51
Blender Blend File: Classroom - Compute: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only SMT On SMT Off 9 18 27 36 45 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 31.12 38.44 16.28 20.24
nekRS Input: Kershaw OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: Kershaw SMT On SMT Off 1200M 2400M 3600M 4800M 6000M SE +/- 8226739.60, N = 3 SE +/- 37190783.06, N = 3 5808636667 5734266667 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
NAS Parallel Benchmarks Test / Class: BT.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C SMT On SMT Off 110K 220K 330K 440K 550K SE +/- 396.74, N = 5 SE +/- 269.21, N = 5 SE +/- 4903.75, N = 15 SE +/- 3792.90, N = 12 292243.61 298801.44 491231.83 536518.74 1. (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
Aircrack-ng EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.7 SMT On SMT Off 40K 80K 120K 160K 200K SE +/- 101.44, N = 3 SE +/- 1020.90, N = 3 SE +/- 1109.71, N = 3 171120.35 149056.95 128050.22 1. (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
NAS Parallel Benchmarks Test / Class: IS.D EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D SMT On SMT Off 2K 4K 6K 8K 10K SE +/- 27.01, N = 6 SE +/- 29.88, N = 6 SE +/- 104.60, N = 15 SE +/- 105.10, N = 15 5300.29 5315.15 9849.01 8635.30 1. (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
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.0 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only SMT On SMT Off 1.0755 2.151 3.2265 4.302 5.3775 SE +/- 0.00, N = 7 SE +/- 0.02, N = 15 SE +/- 0.01, N = 7 SE +/- 0.03, N = 15 3.62 3.57 4.78 4.31
Appleseed Scene: Disney Material EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material SMT On SMT Off 10 20 30 40 50 44.30 38.49 40.57
NAS Parallel Benchmarks Test / Class: LU.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C SMT On SMT Off 140K 280K 420K 560K 700K SE +/- 2132.06, N = 6 SE +/- 1485.96, N = 6 SE +/- 7199.59, N = 15 SE +/- 4916.03, N = 15 279662.55 289518.14 591505.17 658754.21 1. (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
CloverLeaf Lagrangian-Eulerian Hydrodynamics EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics SMT On SMT Off 5 10 15 20 25 SE +/- 0.11, N = 4 SE +/- 0.09, N = 5 SE +/- 0.27, N = 4 SE +/- 0.04, N = 4 12.00 9.27 21.65 15.15 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
SPECFEM3D Model: Mount St. Helens EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens SMT On SMT Off 2 4 6 8 10 SE +/- 0.034771470, N = 5 SE +/- 0.069356320, N = 12 SE +/- 0.014293172, N = 5 SE +/- 0.013893024, N = 5 6.216379849 5.030031580 3.906675095 2.630122599 1. (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
Primesieve Length: 1e13 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 8.0 Length: 1e13 SMT On SMT Off 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 5 SE +/- 0.03, N = 5 21.29 21.13 11.12 11.15 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 SMT On SMT Off 50 100 150 200 250 SE +/- 0.15, N = 4 SE +/- 0.01, N = 4 SE +/- 1.37, N = 5 SE +/- 1.28, N = 5 128.12 128.60 221.77 223.58 1. (CXX) g++ options: -O3
Blender Blend File: Fishy Cat - Compute: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only SMT On SMT Off 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 5 SE +/- 0.04, N = 4 16.49 20.47 9.87 11.72
Blender Blend File: BMW27 - Compute: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only SMT On SMT Off 4 8 12 16 20 SE +/- 0.02, N = 4 SE +/- 0.05, N = 4 SE +/- 0.02, N = 6 SE +/- 0.05, N = 5 12.77 15.15 7.12 8.45
ASTC Encoder Preset: Exhaustive EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Exhaustive SMT On SMT Off 4 8 12 16 20 SE +/- 0.0006, N = 5 SE +/- 0.0028, N = 5 SE +/- 0.0081, N = 6 SE +/- 0.0257, N = 6 8.1743 7.3147 15.9305 14.4099 1. (CXX) g++ options: -O3 -flto -pthread
miniFE Problem Size: Small EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org CG Mflops, More Is Better miniFE 2.2 Problem Size: Small SMT On SMT Off 13K 26K 39K 52K 65K SE +/- 52.11, N = 5 SE +/- 25.22, N = 5 SE +/- 411.42, N = 5 SE +/- 478.13, N = 5 51784.1 51741.0 62774.2 53798.6 1. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi
toyBrot Fractal Generator Implementation: TBB EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better toyBrot Fractal Generator 2020-11-18 Implementation: TBB SMT On SMT Off 1200 2400 3600 4800 6000 SE +/- 21.75, N = 9 SE +/- 43.30, N = 15 SE +/- 23.04, N = 15 SE +/- 31.80, N = 15 3591 5590 2014 2976 1. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
Intel Open Image Denoise Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.0 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only SMT On SMT Off 0.5288 1.0576 1.5864 2.1152 2.644 SE +/- 0.00, N = 4 SE +/- 0.01, N = 4 SE +/- 0.00, N = 5 SE +/- 0.02, N = 5 1.74 1.72 2.35 2.09
NAS Parallel Benchmarks Test / Class: SP.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C SMT On SMT Off 50K 100K 150K 200K 250K SE +/- 290.95, N = 4 SE +/- 228.86, N = 4 SE +/- 1293.24, N = 6 SE +/- 1880.70, N = 6 131909.91 133415.42 224243.28 231041.57 1. (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
ASTC Encoder Preset: Fast EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Fast SMT On SMT Off 300 600 900 1200 1500 SE +/- 1.79, N = 6 SE +/- 1.20, N = 7 SE +/- 1.29, N = 5 SE +/- 1.25, N = 5 1190.75 1278.65 610.11 693.40 1. (CXX) g++ options: -O3 -flto -pthread
ASTC Encoder Preset: Thorough EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Thorough SMT On SMT Off 30 60 90 120 150 SE +/- 0.02, N = 6 SE +/- 0.01, N = 6 SE +/- 0.22, N = 6 SE +/- 0.05, N = 6 75.08 68.31 134.89 127.21 1. (CXX) g++ options: -O3 -flto -pthread
toyBrot Fractal Generator Implementation: OpenMP EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org ms, Fewer Is Better toyBrot Fractal Generator 2020-11-18 Implementation: OpenMP SMT On SMT Off 1300 2600 3900 5200 6500 SE +/- 17.08, N = 8 SE +/- 0.20, N = 7 SE +/- 23.29, N = 12 SE +/- 53.03, N = 15 4081 6242 3321 3671 1. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 SMT On SMT Off 90 180 270 360 450 SE +/- 0.52, N = 5 SE +/- 0.09, N = 5 SE +/- 0.86, N = 7 SE +/- 0.77, N = 6 245.54 248.56 433.60 430.27 1. (CXX) g++ options: -O3
NAS Parallel Benchmarks Test / Class: CG.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C SMT On SMT Off 14K 28K 42K 56K 70K SE +/- 441.00, N = 15 SE +/- 285.31, N = 8 SE +/- 348.18, N = 8 SE +/- 568.39, N = 8 45686.88 48672.24 67554.74 66822.97 1. (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
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.0 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only SMT On SMT Off 1.071 2.142 3.213 4.284 5.355 SE +/- 0.00, N = 7 SE +/- 0.02, N = 7 SE +/- 0.01, N = 7 SE +/- 0.03, N = 7 3.62 3.57 4.76 4.35
Embree Binary: Pathtracer ISPC - Model: Crown EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Crown SMT On SMT Off 50 100 150 200 250 SE +/- 0.13, N = 7 SE +/- 0.05, N = 6 SE +/- 0.16, N = 9 SE +/- 0.13, N = 7 125.58 85.29 210.07 146.21
NAS Parallel Benchmarks Test / Class: FT.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C SMT On SMT Off 50K 100K 150K 200K 250K SE +/- 1029.98, N = 8 SE +/- 93.32, N = 8 SE +/- 1757.80, N = 9 SE +/- 2978.54, N = 13 140791.52 147448.72 211432.89 224178.10 1. (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
Embree Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon SMT On SMT Off 60 120 180 240 300 SE +/- 0.09, N = 8 SE +/- 0.09, N = 6 SE +/- 0.48, N = 9 SE +/- 0.26, N = 8 157.65 107.36 255.99 178.30
NAS Parallel Benchmarks Test / Class: SP.B EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B SMT On SMT Off 50K 100K 150K 200K 250K SE +/- 1110.64, N = 9 SE +/- 885.17, N = 9 SE +/- 732.52, N = 9 SE +/- 8884.57, N = 15 149355.54 161475.24 236490.76 246272.79 1. (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
miniBUDE Implementation: OpenMP - Input Deck: BM1 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 SMT On SMT Off 100 200 300 400 500 SE +/- 0.05, N = 9 SE +/- 0.10, N = 9 SE +/- 0.21, N = 9 SE +/- 7.21, N = 15 237.76 234.68 253.12 439.07 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM1 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 SMT On SMT Off 2K 4K 6K 8K 10K SE +/- 1.30, N = 9 SE +/- 2.53, N = 9 SE +/- 5.35, N = 9 SE +/- 180.32, N = 15 5944.06 5867.11 6328.07 10976.68 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
NAS Parallel Benchmarks Test / Class: MG.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C SMT On SMT Off 60K 120K 180K 240K 300K SE +/- 296.36, N = 10 SE +/- 104.98, N = 10 SE +/- 1284.96, N = 11 SE +/- 599.41, N = 10 128129.56 136942.13 249109.09 268721.05 1. (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
Primesieve Length: 1e12 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 8.0 Length: 1e12 SMT On SMT Off 0.4374 0.8748 1.3122 1.7496 2.187 SE +/- 0.006, N = 11 SE +/- 0.003, N = 11 SE +/- 0.010, N = 14 SE +/- 0.003, N = 12 1.944 1.796 1.508 1.160 1. (CXX) g++ options: -O3
nekRS CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better nekRS 23.0 CPU Power Consumption Monitor SMT On SMT Off 60 120 180 240 300 Min: 21.11 / Avg: 288.26 / Max: 349.64 Min: 20.65 / Avg: 287.58 / Max: 350.2
nekRS Input: TurboPipe Periodic OpenBenchmarking.org flops/rank Per Watt, More Is Better nekRS 23.0 Input: TurboPipe Periodic SMT On SMT Off 2M 4M 6M 8M 10M 8806106.19 8992432.84
nekRS CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better nekRS 23.0 CPU Power Consumption Monitor SMT On SMT Off 60 120 180 240 300 Min: 21.32 / Avg: 293.57 / Max: 349.54 Min: 20.08 / Avg: 298.09 / Max: 347.49
nekRS Input: Kershaw OpenBenchmarking.org flops/rank Per Watt, More Is Better nekRS 23.0 Input: Kershaw SMT On SMT Off 4M 8M 12M 16M 20M 19786057.99 19236505.51
Appleseed CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Appleseed 2.0 Beta CPU Power Consumption Monitor SMT On SMT Off 50 100 150 200 250 Min: 21.47 / Avg: 150.04 / Max: 165.18 Min: 20.23 / Avg: 148.63 / Max: 164.7 Min: 126.26 / Avg: 258.14 / Max: 281.63
Appleseed CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Appleseed 2.0 Beta CPU Power Consumption Monitor SMT On SMT Off 70 140 210 280 350 Min: 20.47 / Avg: 219.92 / Max: 241.15 Min: 20.19 / Avg: 222.18 / Max: 246.09 Min: 193.93 / Avg: 357.2 / Max: 399.57
Aircrack-ng CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Aircrack-ng 1.7 CPU Power Consumption Monitor SMT On SMT Off 70 140 210 280 350 Min: 21.31 / Avg: 234.62 / Max: 267.15 Min: 20.61 / Avg: 229.46 / Max: 260.41 Min: 42.14 / Avg: 362.8 / Max: 415.41
Aircrack-ng EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org k/s Per Watt, More Is Better Aircrack-ng 1.7 SMT On SMT Off 160 320 480 640 800 729.35 649.61 352.95
CPU Power Consumption Monitor Phoronix Test Suite System Monitoring EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring SMT On SMT Off 140 280 420 560 700 Min: 10.52 / Avg: 248.93 / Max: 397.25 Min: 10.61 / Avg: 238.75 / Max: 362.1 Min: 21.61 / Avg: 460.57 / Max: 792.38 Min: 97.83 / Avg: 446.01 / Max: 702.85
Appleseed CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Appleseed 2.0 Beta CPU Power Consumption Monitor SMT On SMT Off 60 120 180 240 300 Min: 21.17 / Avg: 177.28 / Max: 240.78 Min: 20.77 / Avg: 173.02 / Max: 236.67 Min: 44.3 / Avg: 290.19 / Max: 351.48 Min: 199.89 / Avg: 289.71 / Max: 346.75
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.48 / Avg: 310.01 / Max: 336.95 Min: 20.96 / Avg: 278.47 / Max: 305.64 Min: 42.85 / Avg: 599.24 / Max: 664.03 Min: 196.32 / Avg: 577.61 / Max: 653.4
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 100 200 300 400 500 Min: 21.1 / Avg: 320.15 / Max: 350.37 Min: 21.12 / Avg: 294.6 / Max: 327.84 Min: 42.63 / Avg: 504.47 / Max: 594.16 Min: 199.33 / Avg: 511.7 / Max: 565.18
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 21.25 / Avg: 301.97 / Max: 348.43 Min: 21.15 / Avg: 267.68 / Max: 294.4 Min: 44.24 / Avg: 563.32 / Max: 629.29 Min: 199.39 / Avg: 575.68 / Max: 630.57
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.98 / Avg: 307.35 / Max: 332.52 Min: 20.67 / Avg: 301.27 / Max: 325.39 Min: 43.92 / Avg: 603.75 / Max: 664.52 Min: 198.25 / Avg: 614.16 / Max: 663.84
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.17 / Avg: 293.93 / Max: 343.74 Min: 20.68 / Avg: 303.27 / Max: 334.77 Min: 44.56 / Avg: 611.86 / Max: 676.4 Min: 197.64 / Avg: 618.57 / Max: 675.82
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.7 / Avg: 327.23 / Max: 352.86 Min: 20.96 / Avg: 318.56 / Max: 343.94 Min: 44.97 / Avg: 643.58 / Max: 697.31 Min: 197.92 / Avg: 655.04 / Max: 695.42
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.17 / Avg: 297.12 / Max: 335.54 Min: 20.85 / Avg: 299.11 / Max: 323.89 Min: 42.91 / Avg: 602.26 / Max: 657.52 Min: 195.61 / Avg: 613.08 / Max: 656.04
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.62 / Avg: 295.03 / Max: 335.3 Min: 20.4 / Avg: 294.88 / Max: 329.14 Min: 45.43 / Avg: 578.64 / Max: 665.53 Min: 195.77 / Avg: 585.67 / Max: 664.94
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 10.52 / Avg: 252.92 / Max: 325.99 Min: 20.5 / Avg: 276.2 / Max: 333.13 Min: 42.88 / Avg: 597.65 / Max: 674.79 Min: 193.73 / Avg: 615.75 / Max: 674.39
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.83 / Avg: 304.46 / Max: 356.65 Min: 20.58 / Avg: 307.41 / Max: 349.24 Min: 44.3 / Avg: 527.63 / Max: 662.1 Min: 195.17 / Avg: 529.98 / Max: 666.79
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.09 / Avg: 304.04 / Max: 357.06 Min: 20.69 / Avg: 306.74 / Max: 352.51 Min: 43.22 / Avg: 524.02 / Max: 656.42 Min: 199.54 / Avg: 537.68 / Max: 660.12
OpenVINO CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.3 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.39 / Avg: 315.89 / Max: 357.76 Min: 20.94 / Avg: 316.32 / Max: 349.13 Min: 45.01 / Avg: 611.1 / Max: 703.01 Min: 193.21 / Avg: 621.51 / Max: 702.85
Blender CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Blender 3.6 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.55 / Avg: 303.74 / Max: 348.04 Min: 21.11 / Avg: 297.19 / Max: 330.72 Min: 43.07 / Avg: 552.47 / Max: 701.42 Min: 194.9 / Avg: 571.12 / Max: 665.24
Blender CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Blender 3.6 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.88 / Avg: 319.26 / Max: 346.14 Min: 20.45 / Avg: 315.38 / Max: 335.91 Min: 44.79 / Avg: 604.43 / Max: 701.89 Min: 195.38 / Avg: 605.16 / Max: 674.35
Blender CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Blender 3.6 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.92 / Avg: 259.04 / Max: 346.77 Min: 20.68 / Avg: 257.96 / Max: 331.22 Min: 42.57 / Avg: 439.22 / Max: 700.81 Min: 194.02 / Avg: 484.54 / Max: 664
Blender CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Blender 3.6 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.89 / Avg: 294.4 / Max: 340.14 Min: 20.53 / Avg: 290.08 / Max: 328.71 Min: 41.98 / Avg: 525.55 / Max: 684.07 Min: 195.46 / Avg: 557.64 / Max: 654.85
Blender CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Blender 3.6 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.06 / Avg: 242.87 / Max: 337.46 Min: 20.52 / Avg: 245.21 / Max: 323.25 Min: 42.04 / Avg: 405.53 / Max: 681.36 Min: 196.82 / Avg: 459.78 / Max: 647.78
Neural Magic DeepSparse CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.5 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.1 / Avg: 250.83 / Max: 357.61 Min: 20.77 / Avg: 235.91 / Max: 344.85 Min: 44.26 / Avg: 486.69 / Max: 702.22 Min: 192.79 / Avg: 479.5 / Max: 693.71
Neural Magic DeepSparse CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.5 CPU Power Consumption Monitor SMT On SMT Off 130 260 390 520 650 Min: 20.88 / Avg: 247.32 / Max: 358.25 Min: 20.7 / Avg: 235.42 / Max: 345.62 Min: 41.6 / Avg: 459.55 / Max: 712.43 Min: 195.28 / Avg: 482.32 / Max: 698.28
Neural Magic DeepSparse CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.5 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.09 / Avg: 235.18 / Max: 327.39 Min: 20.67 / Avg: 228.97 / Max: 321.66 Min: 42.89 / Avg: 453.79 / Max: 677.58 Min: 101.92 / Avg: 460.64 / Max: 658.21
Neural Magic DeepSparse CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.5 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.93 / Avg: 256.18 / Max: 318.33 Min: 20.87 / Avg: 257.43 / Max: 318.21 Min: 43.67 / Avg: 535.06 / Max: 668.18 Min: 196.83 / Avg: 534.41 / Max: 647.28
Neural Magic DeepSparse CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.5 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.26 / Avg: 279.75 / Max: 331.26 Min: 20.35 / Avg: 278.52 / Max: 329.31 Min: 43.24 / Avg: 556.63 / Max: 669.25 Min: 193.12 / Avg: 553.79 / Max: 663.52
Neural Magic DeepSparse CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.5 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.8 / Avg: 291.22 / Max: 348.67 Min: 20.34 / Avg: 281.81 / Max: 336.34 Min: 43.03 / Avg: 568.51 / Max: 686.75 Min: 194.59 / Avg: 576 / Max: 679.21
Neural Magic DeepSparse CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.5 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.98 / Avg: 231.96 / Max: 341.24 Min: 20.52 / Avg: 236.78 / Max: 330.52 Min: 42.65 / Avg: 496.12 / Max: 694.42 Min: 192.96 / Avg: 504.41 / Max: 673.83
Neural Magic DeepSparse CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.5 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.92 / Avg: 250.7 / Max: 320.58 Min: 20.36 / Avg: 251.27 / Max: 319.12 Min: 42.64 / Avg: 517.56 / Max: 680.99 Min: 193.54 / Avg: 505.33 / Max: 653.26
Neural Magic DeepSparse CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.5 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.51 / Avg: 247.92 / Max: 356.8 Min: 20.07 / Avg: 233.36 / Max: 344.64 Min: 43.81 / Avg: 482.63 / Max: 702.05 Min: 194.94 / Avg: 478.36 / Max: 692.61
TensorFlow CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better TensorFlow 2.12 CPU Power Consumption Monitor SMT On SMT Off 90 180 270 360 450 Min: 20.5 / Avg: 225.8 / Max: 286.84 Min: 20.41 / Avg: 222.86 / Max: 282.49 Min: 42.05 / Avg: 421.61 / Max: 491.54 Min: 194 / Avg: 441.9 / Max: 511.48
TensorFlow Device: CPU - Batch Size: 512 - Model: ResNet-50 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec Per Watt, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: ResNet-50 SMT On SMT Off 0.1251 0.2502 0.3753 0.5004 0.6255 0.544 0.556 0.409 0.429
TensorFlow CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better TensorFlow 2.12 CPU Power Consumption Monitor SMT On SMT Off 90 180 270 360 450 Min: 20.81 / Avg: 235.45 / Max: 279.59 Min: 20.39 / Avg: 228.42 / Max: 276.77 Min: 21.61 / Avg: 439.04 / Max: 490.17 Min: 192.59 / Avg: 456.01 / Max: 498.3
TensorFlow Device: CPU - Batch Size: 512 - Model: GoogLeNet EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec Per Watt, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: GoogLeNet SMT On SMT Off 0.4228 0.8456 1.2684 1.6912 2.114 1.767 1.879 1.227 1.391
TensorFlow CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better TensorFlow 2.12 CPU Power Consumption Monitor SMT On SMT Off 80 160 240 320 400 Min: 20.64 / Avg: 220.96 / Max: 274.28 Min: 20.24 / Avg: 222.59 / Max: 275.13 Min: 42.84 / Avg: 391.59 / Max: 458.74 Min: 194.78 / Avg: 406.75 / Max: 462.03
TensorFlow Device: CPU - Batch Size: 256 - Model: ResNet-50 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec Per Watt, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: ResNet-50 SMT On SMT Off 0.1229 0.2458 0.3687 0.4916 0.6145 0.536 0.546 0.319 0.361
TensorFlow CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better TensorFlow 2.12 CPU Power Consumption Monitor SMT On SMT Off 80 160 240 320 400 Min: 20.72 / Avg: 243.24 / Max: 277.92 Min: 20.23 / Avg: 237.07 / Max: 270.8 Min: 42.83 / Avg: 383.45 / Max: 426.38 Min: 189.77 / Avg: 412.23 / Max: 457.74
TensorFlow Device: CPU - Batch Size: 256 - Model: GoogLeNet EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec Per Watt, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: GoogLeNet SMT On SMT Off 0.4986 0.9972 1.4958 1.9944 2.493 2.072 2.216 0.859 1.099
TensorFlow CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better TensorFlow 2.12 CPU Power Consumption Monitor SMT On SMT Off 90 180 270 360 450 Min: 20.29 / Avg: 235.29 / Max: 286.59 Min: 19.92 / Avg: 213.28 / Max: 261.74 Min: 42.41 / Avg: 386.28 / Max: 479.62 Min: 192.51 / Avg: 420.4 / Max: 490.99
TensorFlow Device: CPU - Batch Size: 512 - Model: AlexNet EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec Per Watt, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: AlexNet SMT On SMT Off 2 4 6 8 10 6.922 7.159 4.584 4.540
TensorFlow CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better TensorFlow 2.12 CPU Power Consumption Monitor SMT On SMT Off 80 160 240 320 400 Min: 20.26 / Avg: 201.49 / Max: 263.75 Min: 19.84 / Avg: 191.63 / Max: 248.98 Min: 41.4 / Avg: 334.38 / Max: 420.36 Min: 194.45 / Avg: 376.07 / Max: 452.14
TensorFlow Device: CPU - Batch Size: 256 - Model: AlexNet EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org images/sec Per Watt, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: AlexNet SMT On SMT Off 2 4 6 8 10 7.058 7.177 3.665 4.206
PostgreSQL CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better PostgreSQL 15 CPU Power Consumption Monitor SMT On SMT Off 70 140 210 280 350 Min: 19.92 / Avg: 141 / Max: 209.56 Min: 19.47 / Avg: 137.98 / Max: 261.97 Min: 40.03 / Avg: 294.82 / Max: 404.71 Min: 191.46 / Avg: 297.52 / Max: 385.38
MariaDB CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better MariaDB 11.0.1 CPU Power Consumption Monitor SMT On SMT Off 50 100 150 200 250 Min: 20.08 / Avg: 122.04 / Max: 137.54 Min: 19.33 / Avg: 123.19 / Max: 137.52 Min: 40.82 / Avg: 250.44 / Max: 275.37 Min: 188.93 / Avg: 257.46 / Max: 279.59
MariaDB Clients: 4096 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Queries Per Second Per Watt, More Is Better MariaDB 11.0.1 Clients: 4096 SMT On SMT Off 1.2695 2.539 3.8085 5.078 6.3475 5.367 5.642 2.176 2.249
MariaDB CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better MariaDB 11.0.1 CPU Power Consumption Monitor SMT On SMT Off 50 100 150 200 250 Min: 20.42 / Avg: 122.43 / Max: 135.29 Min: 20.3 / Avg: 123.06 / Max: 134.69 Min: 43.1 / Avg: 245.22 / Max: 266.18 Min: 188.47 / Avg: 254.51 / Max: 270.43
MariaDB Clients: 2048 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Queries Per Second Per Watt, More Is Better MariaDB 11.0.1 Clients: 2048 SMT On SMT Off 2 4 6 8 10 6.371 6.363 2.365 2.322
Graph500 CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Graph500 3.0 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.27 / Avg: 293.26 / Max: 336.48 Min: 19.89 / Avg: 286.97 / Max: 330.07 Min: 41.39 / Avg: 634.69 / Max: 685.66 Min: 40.03 / Avg: 646.2 / Max: 688.13
Graph500 Scale: 26 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org sssp max_TEPS Per Watt, More Is Better Graph500 3.0 Scale: 26 SMT On SMT Off 400K 800K 1200K 1600K 2000K 1520544.67 1719832.82 1513281.14 1664973.76
ASTC Encoder CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better ASTC Encoder 4.0 CPU Power Consumption Monitor SMT On SMT Off 130 260 390 520 650 Min: 19.98 / Avg: 172.1 / Max: 353.68 Min: 19.61 / Avg: 174.24 / Max: 339.1 Min: 41.13 / Avg: 283.59 / Max: 713.06 Min: 40.28 / Avg: 278.8 / Max: 679.54
ASTC Encoder Preset: Exhaustive EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Exhaustive SMT On SMT Off 0.0126 0.0252 0.0378 0.0504 0.063 0.047 0.042 0.056 0.052
ASTC Encoder CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better ASTC Encoder 4.0 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 14.08 / Avg: 133.8 / Max: 351.54 Min: 19.58 / Avg: 134.61 / Max: 338.88 Min: 41.01 / Avg: 227.98 / Max: 671.57 Min: 40.08 / Avg: 220.5 / Max: 656.14
ASTC Encoder Preset: Thorough EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Thorough SMT On SMT Off 0.1332 0.2664 0.3996 0.5328 0.666 0.561 0.507 0.592 0.577
ASTC Encoder CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better ASTC Encoder 4.0 CPU Power Consumption Monitor SMT On SMT Off 80 160 240 320 400 Min: 20.41 / Avg: 123.13 / Max: 316.82 Min: 20.06 / Avg: 117.33 / Max: 315.16 Min: 41.99 / Avg: 247.05 / Max: 432.29 Min: 41.7 / Avg: 234.69 / Max: 432.58
ASTC Encoder Preset: Fast EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Fast SMT On SMT Off 3 6 9 12 15 9.671 10.898 2.470 2.954
Liquid-DSP CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Liquid-DSP 1.6 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.83 / Avg: 267.43 / Max: 313.4 Min: 20.3 / Avg: 259.79 / Max: 301.25 Min: 43.17 / Avg: 542.11 / Max: 636.19 Min: 42.64 / Avg: 515.71 / Max: 606.26
Liquid-DSP Threads: 512 - Buffer Length: 256 - Filter Length: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 1.6 Threads: 512 - Buffer Length: 256 - Filter Length: 512 SMT On SMT Off 1.4M 2.8M 4.2M 5.6M 7M 6669884.78 5445501.58 6142943.89 5062810.80
Liquid-DSP CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Liquid-DSP 1.6 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.84 / Avg: 271.1 / Max: 312.91 Min: 20.66 / Avg: 260.28 / Max: 300.73 Min: 42.35 / Avg: 526.88 / Max: 607.73 Min: 41.3 / Avg: 524.17 / Max: 605.41
Liquid-DSP Threads: 256 - Buffer Length: 256 - Filter Length: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 1.6 Threads: 256 - Buffer Length: 256 - Filter Length: 512 SMT On SMT Off 1.3M 2.6M 3.9M 5.2M 6.5M 6258723.14 5048094.72 4829201.80 4850824.91
OpenSSL CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor SMT On SMT Off 130 260 390 520 650 Min: 21.26 / Avg: 360.04 / Max: 378.01 Min: 20.77 / Avg: 322.28 / Max: 351.12 Min: 42.98 / Avg: 724.1 / Max: 753.79 Min: 42.18 / Avg: 661.5 / Max: 692.49
OpenSSL Algorithm: ChaCha20-Poly1305 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 SMT On SMT Off 300M 600M 900M 1200M 1500M 1284331827.02 1218755474.84 1256483723.09 1185929906.41
OpenSSL CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor SMT On SMT Off 130 260 390 520 650 Min: 21.31 / Avg: 341.99 / Max: 354.9 Min: 20.86 / Avg: 336.86 / Max: 352.15 Min: 45.1 / Avg: 691.78 / Max: 716.83 Min: 42.53 / Avg: 675.04 / Max: 707.9
OpenSSL Algorithm: AES-256-GCM EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM SMT On SMT Off 600M 1200M 1800M 2400M 3000M 2960716545.71 2959773610.69 2919004979.80 2960156985.81
OpenSSL CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor SMT On SMT Off 130 260 390 520 650 Min: 20.93 / Avg: 343.2 / Max: 354.82 Min: 20.8 / Avg: 341.74 / Max: 355.14 Min: 42.1 / Avg: 693.22 / Max: 715.73 Min: 42.47 / Avg: 687.22 / Max: 716.34
OpenSSL Algorithm: AES-128-GCM EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM SMT On SMT Off 700M 1400M 2100M 2800M 3500M 3408107334.73 3373392798.47 3375379415.53 3357766493.21
OpenSSL CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor SMT On SMT Off 140 280 420 560 700 Min: 21.23 / Avg: 363.8 / Max: 392.13 Min: 20.75 / Avg: 308.01 / Max: 338.71 Min: 44.02 / Avg: 730.27 / Max: 792.36 Min: 42.08 / Avg: 660.38 / Max: 727.38
OpenSSL Algorithm: ChaCha20 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 SMT On SMT Off 400M 800M 1200M 1600M 2000M 1812397903.61 1787936411.25 1804203926.06 1666389521.27
OpenSSL CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.6 / Avg: 314.07 / Max: 354.72 Min: 21.32 / Avg: 284.75 / Max: 316.61 Min: 44.51 / Avg: 617.73 / Max: 697.4 Min: 42.69 / Avg: 599.56 / Max: 681.84
OpenSSL Algorithm: RSA4096 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org verify/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: RSA4096 SMT On SMT Off 1400 2800 4200 5600 7000 6020.72 6318.78 6122.57 6002.69
OpenSSL CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor SMT On SMT Off 130 260 390 520 650 Min: 21.29 / Avg: 335.75 / Max: 346.67 Min: 20.38 / Avg: 332.69 / Max: 354.84 Min: 44.01 / Avg: 676.25 / Max: 700.91 Min: 41.9 / Avg: 678.87 / Max: 711.36
OpenSSL Algorithm: SHA512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA512 SMT On SMT Off 30M 60M 90M 120M 150M 157871758.84 155713911.66 156820493.54 150591857.13
OpenSSL CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor SMT On SMT Off 130 260 390 520 650 Min: 20.72 / Avg: 333.08 / Max: 356.22 Min: 20.37 / Avg: 285.19 / Max: 341.28 Min: 41.96 / Avg: 676 / Max: 716.17 Min: 42.55 / Avg: 603.9 / Max: 697.6
OpenSSL Algorithm: SHA256 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA256 SMT On SMT Off 110M 220M 330M 440M 550M 491268818.21 390668971.64 485100025.27 368054429.03
Helsing CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Helsing 1.0-beta CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.03 / Avg: 316.26 / Max: 355.5 Min: 20.68 / Avg: 310.21 / Max: 356.64 Min: 42.81 / Avg: 589.87 / Max: 707.99 Min: 41.78 / Avg: 512.26 / Max: 690.1
OSPRay Studio CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.32 / Avg: 291.25 / Max: 338.09 Min: 20.81 / Avg: 290.35 / Max: 325.63 Min: 42.82 / Avg: 625.58 / Max: 686.92 Min: 42.38 / Avg: 568.08 / Max: 654.97
OSPRay Studio CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.56 / Avg: 282.67 / Max: 337.69 Min: 20.73 / Avg: 274.66 / Max: 324.6 Min: 44.72 / Avg: 616.86 / Max: 687.3 Min: 41.61 / Avg: 566.27 / Max: 654
OSPRay Studio CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.44 / Avg: 307.82 / Max: 338.46 Min: 20.77 / Avg: 284.22 / Max: 324.97 Min: 44.88 / Avg: 575.16 / Max: 684.71 Min: 42.15 / Avg: 573.14 / Max: 653.73
OSPRay Studio CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.65 / Avg: 305.15 / Max: 338.21 Min: 10.61 / Avg: 295.55 / Max: 325.63 Min: 43.88 / Avg: 615.69 / Max: 685.2 Min: 41.78 / Avg: 589.05 / Max: 653.82
OSPRay Studio CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.29 / Avg: 303.95 / Max: 338.98 Min: 21.33 / Avg: 283.12 / Max: 324.52 Min: 43.58 / Avg: 572.24 / Max: 686.68 Min: 41.88 / Avg: 551.43 / Max: 653.67
OSPRay Studio CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.61 / Avg: 305.02 / Max: 338.57 Min: 20.9 / Avg: 295.01 / Max: 325.94 Min: 42.72 / Avg: 617.3 / Max: 686.55 Min: 42.66 / Avg: 587.43 / Max: 654.45
OSPRay Studio CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.43 / Avg: 287.82 / Max: 335.59 Min: 20.74 / Avg: 281.21 / Max: 323.91 Min: 43.64 / Avg: 585.98 / Max: 682.76 Min: 42.47 / Avg: 564.46 / Max: 651.55
OSPRay Studio CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.25 / Avg: 287.03 / Max: 334.32 Min: 20.75 / Avg: 278.21 / Max: 323.58 Min: 44.18 / Avg: 586.29 / Max: 680.45 Min: 42.03 / Avg: 559.72 / Max: 652.58
OSPRay Studio CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.8 / Avg: 286.61 / Max: 335.12 Min: 20.2 / Avg: 277.45 / Max: 323.23 Min: 41.89 / Avg: 609 / Max: 686.18 Min: 41.01 / Avg: 558.64 / Max: 651.98
Primesieve CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Primesieve 8.0 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.09 / Avg: 268.37 / Max: 324.15 Min: 19.88 / Avg: 261.85 / Max: 316.4 Min: 41.84 / Avg: 485.63 / Max: 670.4 Min: 41.23 / Avg: 464.71 / Max: 636.03
Primesieve CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Primesieve 8.0 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.18 / Avg: 113.25 / Max: 312.47 Min: 19.72 / Avg: 104.83 / Max: 309.64 Min: 40.74 / Avg: 202.59 / Max: 640.65 Min: 40.21 / Avg: 164.82 / Max: 618.35
Timed Node.js Compilation CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Timed Node.js Compilation 19.8.1 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.49 / Avg: 192.96 / Max: 340.93 Min: 19.79 / Avg: 195.41 / Max: 330.02 Min: 40.27 / Avg: 330.87 / Max: 680.38 Min: 40.21 / Avg: 335.02 / Max: 662.48
Timed LLVM Compilation CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.39 / Avg: 159.32 / Max: 327.5 Min: 19.66 / Avg: 159.92 / Max: 323.96 Min: 41.07 / Avg: 282.76 / Max: 651.4 Min: 41.34 / Avg: 283.34 / Max: 646.29
Timed LLVM Compilation CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.62 / Avg: 209.56 / Max: 335.43 Min: 20.32 / Avg: 218.43 / Max: 329.81 Min: 42.36 / Avg: 337.35 / Max: 671.56 Min: 41.09 / Avg: 351.2 / Max: 660.92
Timed Linux Kernel Compilation CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 6.1 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.05 / Avg: 255.95 / Max: 334.41 Min: 20.38 / Avg: 265.69 / Max: 337.05 Min: 41.29 / Avg: 468.11 / Max: 673.75 Min: 40.59 / Avg: 462.79 / Max: 676.08
Timed Linux Kernel Compilation CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 6.1 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.11 / Avg: 158.04 / Max: 312.79 Min: 19.82 / Avg: 149.41 / Max: 323.82 Min: 41.05 / Avg: 285.97 / Max: 638.63 Min: 40.17 / Avg: 267.88 / Max: 656.25
Timed Godot Game Engine Compilation CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Timed Godot Game Engine Compilation 4.0 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.04 / Avg: 148.45 / Max: 334.92 Min: 19.83 / Avg: 154.5 / Max: 328.65 Min: 41.9 / Avg: 275.11 / Max: 667.57 Min: 40.04 / Avg: 275.62 / Max: 665.8
Timed Gem5 Compilation CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Timed Gem5 Compilation 21.2 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 19.75 / Avg: 126.31 / Max: 329.48 Min: 19.52 / Avg: 131.21 / Max: 323.7 Min: 43.13 / Avg: 253.79 / Max: 657.39 Min: 40.34 / Avg: 250.05 / Max: 652.68
Stockfish CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Stockfish 15 CPU Power Consumption Monitor SMT On SMT Off 130 260 390 520 650 Min: 21.02 / Avg: 326.55 / Max: 356.32 Min: 20.41 / Avg: 309.55 / Max: 341.8 Min: 42.5 / Avg: 649.7 / Max: 710.41 Min: 41.98 / Avg: 598.99 / Max: 681.91
Stockfish Total Time EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Stockfish 15 Total Time SMT On SMT Off 200K 400K 600K 800K 1000K 1117842.33 881021.76 896399.09 746293.69
7-Zip Compression CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better 7-Zip Compression 22.01 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.05 / Avg: 266.27 / Max: 350.56 Min: 20.34 / Avg: 247.35 / Max: 330.87 Min: 41.89 / Avg: 501.4 / Max: 701.41 Min: 41.8 / Avg: 472.21 / Max: 667.59
7-Zip Compression Test: Decompression Rating EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating SMT On SMT Off 600 1200 1800 2400 3000 2973.58 2063.78 2700.35 1933.66
OSPRay CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.29 / Avg: 278.61 / Max: 330.56 Min: 20.36 / Avg: 255.54 / Max: 301.79 Min: 42.48 / Avg: 572.66 / Max: 664.61 Min: 41.49 / Avg: 544.27 / Max: 626.51
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time SMT On SMT Off 0.0259 0.0518 0.0777 0.1036 0.1295 0.115 0.100 0.092 0.081
OSPRay CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.45 / Avg: 276.76 / Max: 329.91 Min: 20.16 / Avg: 254.24 / Max: 300.93 Min: 44.15 / Avg: 566.91 / Max: 661.42 Min: 40.66 / Avg: 542.85 / Max: 624.55
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time SMT On SMT Off 0.0266 0.0532 0.0798 0.1064 0.133 0.118 0.101 0.095 0.082
OSPRay CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor SMT On SMT Off 100 200 300 400 500 Min: 20.96 / Avg: 241.99 / Max: 304.45 Min: 20.16 / Avg: 211.09 / Max: 275.73 Min: 44 / Avg: 483.3 / Max: 582.81 Min: 42.19 / Avg: 462.03 / Max: 561.22
OSPRay Benchmark: particle_volume/scivis/real_time EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time SMT On SMT Off 0.0286 0.0572 0.0858 0.1144 0.143 0.127 0.112 0.102 0.090
OSPRay CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor SMT On SMT Off 100 200 300 400 500 Min: 21.03 / Avg: 291.76 / Max: 307.53 Min: 20.26 / Avg: 261.53 / Max: 278.17 Min: 41.99 / Avg: 553.35 / Max: 585.29 Min: 42.16 / Avg: 534.35 / Max: 564.38
OSPRay Benchmark: particle_volume/ao/real_time EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time SMT On SMT Off 0.0239 0.0478 0.0717 0.0956 0.1195 0.106 0.091 0.089 0.078
OpenVKL CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better OpenVKL 1.3.1 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.44 / Avg: 238.51 / Max: 321.14 Min: 19.63 / Avg: 223.41 / Max: 305.39 Min: 41.51 / Avg: 467.94 / Max: 643.91 Min: 41.74 / Avg: 435.67 / Max: 614.27
OpenVKL Benchmark: vklBenchmark ISPC EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Items / Sec Per Watt, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC SMT On SMT Off 1.3169 2.6338 3.9507 5.2676 6.5845 5.853 4.955 3.676 3.512
Intel Open Image Denoise CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 2.0 CPU Power Consumption Monitor SMT On SMT Off 100 200 300 400 500 Min: 20.37 / Avg: 219.82 / Max: 297.83 Min: 19.75 / Avg: 215.85 / Max: 296.82 Min: 41.62 / Avg: 383.91 / Max: 567.02 Min: 41.02 / Avg: 379.66 / Max: 554.87
Intel Open Image Denoise Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 2.0 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only SMT On SMT Off 0.0018 0.0036 0.0054 0.0072 0.009 0.008 0.008 0.006 0.006
Intel Open Image Denoise CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 2.0 CPU Power Consumption Monitor SMT On SMT Off 100 200 300 400 500 Min: 20.39 / Avg: 170.54 / Max: 297.28 Min: 19.82 / Avg: 174.13 / Max: 300.84 Min: 40.73 / Avg: 294.58 / Max: 558.39 Min: 40.95 / Avg: 295.21 / Max: 552.75
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 2.0 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only SMT On SMT Off 0.0047 0.0094 0.0141 0.0188 0.0235 0.021 0.021 0.016 0.015
Intel Open Image Denoise CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 2.0 CPU Power Consumption Monitor SMT On SMT Off 100 200 300 400 500 Min: 20.3 / Avg: 176.53 / Max: 298.39 Min: 19.89 / Avg: 172.35 / Max: 299.67 Min: 41.67 / Avg: 298.49 / Max: 561.86 Min: 21.72 / Avg: 294.18 / Max: 551.63
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 2.0 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only SMT On SMT Off 0.0047 0.0094 0.0141 0.0188 0.0235 0.021 0.021 0.016 0.015
Embree CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Embree 4.1 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.48 / Avg: 170.51 / Max: 326.15 Min: 20.14 / Avg: 183.96 / Max: 309.98 Min: 41.35 / Avg: 286.01 / Max: 649.79 Min: 40.75 / Avg: 312.56 / Max: 630.49
Embree Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon SMT On SMT Off 0.2081 0.4162 0.6243 0.8324 1.0405 0.925 0.584 0.895 0.570
Embree CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Embree 4.1 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.54 / Avg: 191.71 / Max: 332.64 Min: 19.75 / Avg: 204.9 / Max: 312.76 Min: 41.29 / Avg: 314.33 / Max: 666.86 Min: 40.12 / Avg: 347.93 / Max: 636
Embree Binary: Pathtracer ISPC - Model: Crown EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Crown SMT On SMT Off 0.1503 0.3006 0.4509 0.6012 0.7515 0.655 0.416 0.668 0.420
LuxCoreRender CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor SMT On SMT Off 70 140 210 280 350 Min: 20.9 / Avg: 142.31 / Max: 202.02 Min: 20.14 / Avg: 136.45 / Max: 184.56 Min: 41.26 / Avg: 281.59 / Max: 380.32 Min: 40.47 / Avg: 279.04 / Max: 366.94
LuxCoreRender Scene: Rainbow Colors and Prism - Acceleration: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: CPU SMT On SMT Off 0.0331 0.0662 0.0993 0.1324 0.1655 0.147 0.105 0.068 0.048
LuxCoreRender CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor SMT On SMT Off 90 180 270 360 450 Min: 21.47 / Avg: 286.22 / Max: 332.7 Min: 20.62 / Avg: 247.27 / Max: 288.16 Min: 42.57 / Avg: 445.45 / Max: 519.63 Min: 41.4 / Avg: 402.3 / Max: 472.3
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: CPU SMT On SMT Off 0.0097 0.0194 0.0291 0.0388 0.0485 0.043 0.036 0.022 0.017
LuxCoreRender CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.26 / Avg: 298.35 / Max: 337.28 Min: 20.39 / Avg: 293.46 / Max: 329.9 Min: 42.69 / Avg: 558.11 / Max: 673.06 Min: 41.2 / Avg: 501.47 / Max: 651.41
LuxCoreRender Scene: Orange Juice - Acceleration: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU SMT On SMT Off 0.0185 0.037 0.0555 0.074 0.0925 0.082 0.071 0.062 0.050
LuxCoreRender CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.94 / Avg: 303.49 / Max: 332.56 Min: 20.7 / Avg: 285.26 / Max: 319.31 Min: 41.78 / Avg: 510.83 / Max: 659.11 Min: 41.49 / Avg: 468.61 / Max: 635.46
LuxCoreRender Scene: DLSC - Acceleration: CPU EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: CPU SMT On SMT Off 0.0122 0.0244 0.0366 0.0488 0.061 0.054 0.047 0.036 0.031
John The Ripper CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better John The Ripper 2023.03.14 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.42 / Avg: 291.74 / Max: 363.73 Min: 20.4 / Avg: 296.91 / Max: 362.1 Min: 41.25 / Avg: 517.18 / Max: 684.78 Min: 40.66 / Avg: 526.99 / Max: 698.52
John The Ripper Test: MD5 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 2023.03.14 Test: MD5 SMT On SMT Off 15K 30K 45K 60K 75K 69625.90 56420.63 67440.80 57347.31
John The Ripper Test: Blowfish EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 2023.03.14 Test: Blowfish SMT On SMT Off 170 340 510 680 850 768.10 632.58 726.35 582.13
John The Ripper CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better John The Ripper 2023.03.14 CPU Power Consumption Monitor SMT On SMT Off 140 280 420 560 700 Min: 20.68 / Avg: 348.64 / Max: 397.25 Min: 20.23 / Avg: 301.84 / Max: 349.66 Min: 43.21 / Avg: 681.87 / Max: 792.38 Min: 41.73 / Avg: 635.7 / Max: 734.09
John The Ripper Test: WPA PSK EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 2023.03.14 Test: WPA PSK SMT On SMT Off 500 1000 1500 2000 2500 2324.37 2240.31 2235.81 2047.36
John The Ripper CPU Power Consumption Monitor EPYC 9754 2P EPYC 9754 1P OpenBenchmarking.org Watts, Fewer Is Better John The Ripper 2023.03.14 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 42.39 / Avg: 564.26 / Max: 642.19 Min: 42.35 / Avg: 551.23 / Max: 631.68 Min: 42.38 / Avg: 553.47 / Max: 644.02 Min: 40.81 / Avg: 541.52 / Max: 627.33 Min: 20.76 / Avg: 258.09 / Max: 293.57 Min: 20.74 / Avg: 281.36 / Max: 322.03 Min: 20.17 / Avg: 280.29 / Max: 320.86 Min: 20 / Avg: 254.23 / Max: 291.94
John The Ripper Test: bcrypt EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 2023.03.14 Test: bcrypt SMT On SMT Off 170 340 510 680 850 770.87 642.02 736.92 585.47
srsRAN Project CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better srsRAN Project 23.5 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.98 / Avg: 261.42 / Max: 327.2 Min: 20.63 / Avg: 260.57 / Max: 317.08 Min: 43.09 / Avg: 560.78 / Max: 670.82 Min: 41.48 / Avg: 517.72 / Max: 634.9
srsRAN Project Test: PUSCH Processor Benchmark, Throughput Total EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Mbps Per Watt, More Is Better srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Total SMT On SMT Off 20 40 60 80 100 32.09 78.41 31.90 70.64
Xmrig CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.18.1 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.54 / Avg: 267.22 / Max: 350.81 Min: 20.64 / Avg: 267.92 / Max: 342.62 Min: 43.21 / Avg: 439.66 / Max: 708.61 Min: 41.49 / Avg: 447.09 / Max: 663.47
Xmrig Variant: Wownero - Hash Count: 1M EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M SMT On SMT Off 70 140 210 280 350 279.93 235.83 323.17 225.36
Xmrig CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.18.1 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.63 / Avg: 221.93 / Max: 329.48 Min: 20.83 / Avg: 268.02 / Max: 330.69 Min: 41.43 / Avg: 488.1 / Max: 682.33 Min: 40.87 / Avg: 462.3 / Max: 653.34
Xmrig Variant: Monero - Hash Count: 1M EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.18.1 Variant: Monero - Hash Count: 1M SMT On SMT Off 40 80 120 160 200 109.99 191.10 177.29 185.91
SPECFEM3D CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.6 / Avg: 249.37 / Max: 338.57 Min: 20.04 / Avg: 228.45 / Max: 329.73 Min: 41.18 / Avg: 415.4 / Max: 678.2 Min: 41.07 / Avg: 358.64 / Max: 670.26
SPECFEM3D CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.79 / Avg: 218.63 / Max: 337.15 Min: 20.06 / Avg: 188.68 / Max: 325.98 Min: 41.07 / Avg: 338.57 / Max: 663.27 Min: 40.89 / Avg: 314 / Max: 658.8
SPECFEM3D CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.85 / Avg: 203.93 / Max: 337.24 Min: 20.14 / Avg: 175.44 / Max: 323.55 Min: 42.2 / Avg: 321.36 / Max: 664.42 Min: 41.07 / Avg: 299.85 / Max: 655.45
SPECFEM3D CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.77 / Avg: 234.87 / Max: 334.16 Min: 20.36 / Avg: 226.26 / Max: 322.57 Min: 41.53 / Avg: 396.49 / Max: 677.63 Min: 41.53 / Avg: 355.84 / Max: 655.14
SPECFEM3D CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 21.64 / Avg: 185.39 / Max: 336.6 Min: 20.51 / Avg: 173.78 / Max: 324.55 Min: 42.65 / Avg: 310.22 / Max: 679.55 Min: 43.56 / Avg: 283.61 / Max: 651.99
HeFFTe - Highly Efficient FFT for Exascale CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.59 / Avg: 233.52 / Max: 280.97 Min: 20.21 / Avg: 229.75 / Max: 280.78 Min: 43.55 / Avg: 408.39 / Max: 622.11 Min: 41.26 / Avg: 404.72 / Max: 596.32
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOP/s Per Watt, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 SMT On SMT Off 0.1172 0.2344 0.3516 0.4688 0.586 0.284 0.296 0.507 0.521
HeFFTe - Highly Efficient FFT for Exascale CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.58 / Avg: 248.88 / Max: 282.9 Min: 20.26 / Avg: 246.69 / Max: 279.29 Min: 41.88 / Avg: 458.33 / Max: 608.28 Min: 40.61 / Avg: 446.09 / Max: 590.49
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOP/s Per Watt, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 SMT On SMT Off 0.0567 0.1134 0.1701 0.2268 0.2835 0.140 0.144 0.239 0.252
HeFFTe - Highly Efficient FFT for Exascale CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.52 / Avg: 169.96 / Max: 279.94 Min: 20.14 / Avg: 164.96 / Max: 252.95 Min: 42.06 / Avg: 336.38 / Max: 638.26 Min: 40.74 / Avg: 340.8 / Max: 617.42
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOP/s Per Watt, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 SMT On SMT Off 0.3391 0.6782 1.0173 1.3564 1.6955 1.445 1.507 1.289 1.263
HeFFTe - Highly Efficient FFT for Exascale CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.78 / Avg: 187.92 / Max: 271.2 Min: 11.69 / Avg: 185.74 / Max: 241.77 Min: 44.94 / Avg: 404.61 / Max: 614.02 Min: 41.14 / Avg: 392.95 / Max: 599.94
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOP/s Per Watt, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 SMT On SMT Off 0.1557 0.3114 0.4671 0.6228 0.7785 0.682 0.692 0.548 0.569
libxsmm CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better libxsmm 2-1.17-3645 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.42 / Avg: 211.17 / Max: 339.24 Min: 20.05 / Avg: 210.44 / Max: 332.07 Min: 41.94 / Avg: 321.06 / Max: 680.36 Min: 40.86 / Avg: 319.88 / Max: 674.35
libxsmm M N K: 256 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOPS/s Per Watt, More Is Better libxsmm 2-1.17-3645 M N K: 256 SMT On SMT Off 5 10 15 20 25 15.78 18.12 19.04 19.92
libxsmm CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better libxsmm 2-1.17-3645 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.34 / Avg: 205.01 / Max: 330.64 Min: 20.02 / Avg: 204.17 / Max: 323.63 Min: 42.27 / Avg: 322.92 / Max: 664.29 Min: 41.28 / Avg: 324.27 / Max: 648.28
libxsmm M N K: 128 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org GFLOPS/s Per Watt, More Is Better libxsmm 2-1.17-3645 M N K: 128 SMT On SMT Off 4 8 12 16 20 13.24 13.21 15.41 13.89
toyBrot Fractal Generator CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better toyBrot Fractal Generator 2020-11-18 CPU Power Consumption Monitor SMT On SMT Off 100 200 300 400 500 Min: 20.45 / Avg: 148.84 / Max: 302.49 Min: 19.84 / Avg: 154.08 / Max: 274.28 Min: 40.87 / Avg: 242.46 / Max: 590.56 Min: 40.79 / Avg: 251.07 / Max: 574.98
toyBrot Fractal Generator CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better toyBrot Fractal Generator 2020-11-18 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.91 / Avg: 150.09 / Max: 303.56 Min: 20.03 / Avg: 161.83 / Max: 283.89 Min: 41.02 / Avg: 232.68 / Max: 605.7 Min: 40.87 / Avg: 257.24 / Max: 584.5
NAMD CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better NAMD 2.14 CPU Power Consumption Monitor SMT On SMT Off 130 260 390 520 650 Min: 21.34 / Avg: 258.84 / Max: 353.57 Min: 20.91 / Avg: 242.43 / Max: 333.11 Min: 43.91 / Avg: 386.17 / Max: 712.38 Min: 42.59 / Avg: 421.91 / Max: 639.89
CP2K Molecular Dynamics CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better CP2K Molecular Dynamics 2023.1 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.44 / Avg: 291.52 / Max: 350.26 Min: 20.12 / Avg: 290.26 / Max: 349.59 Min: 41.56 / Avg: 614.44 / Max: 701.65 Min: 40.71 / Avg: 623.68 / Max: 701.99
CloverLeaf CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better CloverLeaf CPU Power Consumption Monitor SMT On SMT Off 70 140 210 280 350 Min: 20.74 / Avg: 156.83 / Max: 210.59 Min: 19.99 / Avg: 142.48 / Max: 202.51 Min: 41.07 / Avg: 322.81 / Max: 382.87 Min: 40.69 / Avg: 293.85 / Max: 373.73
miniBUDE CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better miniBUDE 20210901 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.25 / Avg: 270.52 / Max: 323.64 Min: 19.67 / Avg: 268.1 / Max: 319.7 Min: 40.87 / Avg: 385.07 / Max: 627.6 Min: 39.97 / Avg: 463.17 / Max: 639.3
miniBUDE Implementation: OpenMP - Input Deck: BM2 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 SMT On SMT Off 0.2135 0.427 0.6405 0.854 1.0675 0.883 0.881 0.819 0.949
miniBUDE CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better miniBUDE 20210901 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.2 / Avg: 155.92 / Max: 319.62 Min: 19.77 / Avg: 154.01 / Max: 315.25 Min: 40.84 / Avg: 269.38 / Max: 547.76 Min: 40.2 / Avg: 223.4 / Max: 628.17
miniBUDE Implementation: OpenMP - Input Deck: BM1 EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 SMT On SMT Off 0.4421 0.8842 1.3263 1.7684 2.2105 1.525 1.524 0.940 1.965
NAS Parallel Benchmarks CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.01 / Avg: 210.74 / Max: 311.07 Min: 19.6 / Avg: 202.94 / Max: 285.46 Min: 40.07 / Avg: 394.92 / Max: 657.14 Min: 41.29 / Avg: 383.27 / Max: 632.69
NAS Parallel Benchmarks Test / Class: SP.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C SMT On SMT Off 140 280 420 560 700 625.95 657.40 567.82 602.82
NAS Parallel Benchmarks CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 19.9 / Avg: 127.5 / Max: 326.83 Min: 19.52 / Avg: 119.85 / Max: 307.11 Min: 41.07 / Avg: 228.71 / Max: 655.77 Min: 39.68 / Avg: 227.42 / Max: 648.76
NAS Parallel Benchmarks Test / Class: SP.B EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B SMT On SMT Off 300 600 900 1200 1500 1171.42 1347.26 1034.03 1082.90
miniFE CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better miniFE 2.2 CPU Power Consumption Monitor SMT On SMT Off 80 160 240 320 400 Min: 20.05 / Avg: 123.43 / Max: 252.15 Min: 19.39 / Avg: 120.31 / Max: 246.66 Min: 39.79 / Avg: 233.98 / Max: 478.7 Min: 39.96 / Avg: 227.79 / Max: 468.68
miniFE Problem Size: Small EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org CG Mflops Per Watt, More Is Better miniFE 2.2 Problem Size: Small SMT On SMT Off 90 180 270 360 450 419.54 430.07 268.29 236.18
NAS Parallel Benchmarks CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.16 / Avg: 88.42 / Max: 270.94 Min: 19.66 / Avg: 91.16 / Max: 281.3 Min: 41.54 / Avg: 173.73 / Max: 526.19 Min: 40.59 / Avg: 172.91 / Max: 610.41
NAS Parallel Benchmarks Test / Class: MG.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C SMT On SMT Off 300 600 900 1200 1500 1449.06 1502.14 1433.88 1554.08
NAS Parallel Benchmarks CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.31 / Avg: 193.05 / Max: 313.96 Min: 19.72 / Avg: 192.37 / Max: 313.77 Min: 40.56 / Avg: 324.76 / Max: 663.39 Min: 40.61 / Avg: 310.37 / Max: 663.69
NAS Parallel Benchmarks Test / Class: LU.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C SMT On SMT Off 500 1000 1500 2000 2500 1448.63 1504.97 1821.35 2122.50
NAS Parallel Benchmarks CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.3 / Avg: 148.47 / Max: 271.57 Min: 19.77 / Avg: 150.15 / Max: 264.6 Min: 41.72 / Avg: 315.26 / Max: 633.61 Min: 40.25 / Avg: 307.61 / Max: 652.71
NAS Parallel Benchmarks Test / Class: IS.D EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D SMT On SMT Off 8 16 24 32 40 35.70 35.40 31.24 28.07
NAS Parallel Benchmarks CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.47 / Avg: 134.84 / Max: 312.66 Min: 19.73 / Avg: 133.34 / Max: 299.42 Min: 40.97 / Avg: 256.9 / Max: 647.79 Min: 40.17 / Avg: 249.94 / Max: 637.03
NAS Parallel Benchmarks Test / Class: FT.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C SMT On SMT Off 200 400 600 800 1000 1044.17 1105.80 823.02 896.92
NAS Parallel Benchmarks CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 20.22 / Avg: 238.61 / Max: 342.73 Min: 19.6 / Avg: 229.32 / Max: 332.77 Min: 41.42 / Avg: 399.82 / Max: 682.45 Min: 40.26 / Avg: 375.87 / Max: 680.44
NAS Parallel Benchmarks Test / Class: EP.D EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D SMT On SMT Off 15 30 45 60 75 55.59 62.25 59.29 69.13
NAS Parallel Benchmarks CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor SMT On SMT Off 110 220 330 440 550 Min: 20.14 / Avg: 149.82 / Max: 321.08 Min: 19.7 / Avg: 143.06 / Max: 313.46 Min: 41.39 / Avg: 274.22 / Max: 646.25 Min: 40.04 / Avg: 259.96 / Max: 632.64
NAS Parallel Benchmarks Test / Class: CG.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C SMT On SMT Off 70 140 210 280 350 304.95 340.22 246.35 257.05
NAS Parallel Benchmarks CPU Power Consumption Monitor EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor SMT On SMT Off 120 240 360 480 600 Min: 19.79 / Avg: 220.03 / Max: 326.76 Min: 19.51 / Avg: 216.16 / Max: 309.45 Min: 40.66 / Avg: 397.37 / Max: 663.29 Min: 40.15 / Avg: 380.97 / Max: 653.61
NAS Parallel Benchmarks Test / Class: BT.C EPYC 9754 1P EPYC 9754 2P OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C SMT On SMT Off 300 600 900 1200 1500 1328.18 1382.30 1236.19 1408.28
Phoronix Test Suite v10.8.5