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&grt&rdt&rro .
Processor Motherboard Chipset Memory Disk Graphics Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution EPYC 9754 2P EPYC 9754 1P SMT On SMT Off SMT Off SMT On 2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores / 512 Threads) AMD Titanite_4G (RTI1007B BIOS) AMD Device 14a4 1520GB 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 2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores) AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores) 768GB AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads) 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 2P: SMT On: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 9754 2P: SMT Off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 9754 1P: SMT Off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 9754 1P: SMT On: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
compress-7zip: Compression Rating compress-7zip: Decompression Rating aircrack-ng: appleseed: Emily appleseed: Disney Material appleseed: Material Tester astcenc: Fast astcenc: Thorough astcenc: Exhaustive blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only cloverleaf: Lagrangian-Eulerian Hydrodynamics cp2k: H2O-DFT-LS embree: Pathtracer ISPC - Crown embree: Pathtracer ISPC - Asian Dragon graph500: 26 graph500: 26 graph500: 26 graph500: 26 heffte: c2c - FFTW - float - 512 heffte: r2c - FFTW - float - 512 heffte: c2c - FFTW - double - 512 heffte: r2c - FFTW - double - 512 helsing: 14 digit oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only oidn: RTLightmap.hdr.4096x4096 - CPU-Only john-the-ripper: bcrypt john-the-ripper: WPA PSK john-the-ripper: Blowfish john-the-ripper: MD5 libxsmm: 128 libxsmm: 256 liquid-dsp: 256 - 256 - 512 liquid-dsp: 512 - 256 - 512 luxcorerender: DLSC - CPU luxcorerender: Orange Juice - CPU luxcorerender: LuxCore Benchmark - CPU luxcorerender: Rainbow Colors and Prism - CPU mysqlslap: 2048 mysqlslap: 4096 minibude: OpenMP - BM1 minibude: OpenMP - BM1 minibude: OpenMP - BM2 minibude: OpenMP - BM2 minife: Small namd: ATPase Simulation - 327,506 Atoms npb: BT.C npb: CG.C npb: EP.D npb: FT.C npb: IS.D npb: LU.C npb: MG.C npb: SP.B npb: SP.C nekrs: Kershaw nekrs: TurboPipe Periodic 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 Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream 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 deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - 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 deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream openssl: SHA256 openssl: SHA512 openssl: RSA4096 openssl: RSA4096 openssl: ChaCha20 openssl: AES-128-GCM openssl: AES-256-GCM openssl: ChaCha20-Poly1305 openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - 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 openvkl: vklBenchmark ISPC ospray: particle_volume/ao/real_time ospray: particle_volume/scivis/real_time ospray: gravity_spheres_volume/dim_512/ao/real_time ospray: gravity_spheres_volume/dim_512/scivis/real_time ospray-studio: 1 - 4K - 1 - Path Tracer ospray-studio: 2 - 4K - 1 - Path Tracer ospray-studio: 3 - 4K - 1 - Path Tracer ospray-studio: 1 - 4K - 16 - Path Tracer ospray-studio: 1 - 4K - 32 - Path Tracer ospray-studio: 2 - 4K - 16 - Path Tracer ospray-studio: 2 - 4K - 32 - Path Tracer ospray-studio: 3 - 4K - 16 - Path Tracer ospray-studio: 3 - 4K - 32 - Path Tracer pgbench: 1000 - 800 - Read Only pgbench: 1000 - 800 - Read Only - Average Latency primesieve: 1e12 primesieve: 1e13 specfem3d: Mount St. Helens specfem3d: Layered Halfspace specfem3d: Tomographic Model specfem3d: Homogeneous Halfspace specfem3d: Water-layered Halfspace srsran: PUSCH Processor Benchmark, Throughput Total stockfish: Total Time tensorflow: CPU - 256 - AlexNet tensorflow: CPU - 512 - AlexNet tensorflow: CPU - 256 - GoogLeNet tensorflow: CPU - 256 - ResNet-50 tensorflow: CPU - 512 - GoogLeNet tensorflow: CPU - 512 - ResNet-50 build-gem5: Time To Compile build-godot: Time To Compile build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-llvm: Ninja build-llvm: Unix Makefiles build-nodejs: Time To Compile toybrot: TBB toybrot: OpenMP xmrig: Monero - 1M xmrig: Wownero - 1M EPYC 9754 2P EPYC 9754 1P SMT On SMT Off SMT Off SMT On 925820 1353957 164.567164 610.1137 134.8853 15.9305 7.12 16.28 9.87 69.03 21.75 21.65 2143.513 210.0714 255.9864 1571100000 1724030000 672541000 960471000 221.765 433.601 109.645 207.197 27.280 4.76 4.78 2.35 407860 1524533 409850 34879333 4976.7 6112.6 2544400000 3330166667 18.61 34.45 9.86 19.02 580 545 6328.069 253.123 7888.085 315.524 62774.2 0.10646 491231.83 67554.74 23705.40 211432.89 9849.01 591505.17 249109.09 236490.76 224243.28 139.6590 902.8593 2627.3142 48.6206 556.9411 229.1624 797.6248 159.8861 1868.3310 68.3638 1190.7168 107.1835 242.9589 521.3108 602.2602 211.4848 139.8821 902.7792 327926038513 106049655203 108490.5 3782091.8 1317549954027 2339890700107 2019317070327 909817360110 121.03 526.98 40.67 1559.95 40.90 1552.15 5810.41 11.03 235.65 270.93 13214.20 4.83 11299.32 5.64 1159.99 55.12 22954.44 11.00 9889.61 6.46 168372.89 0.62 133931.53 1.08 1720 49.1328 49.2311 53.8295 52.7318 482 495 582 7698 15619 7817 15731 9253 18455 827878 0.974 1.508 11.120 3.906675095 9.997447570 3.782741798 4.727830148 9.778381437 17891.4 582386924 1225.41 1770.91 329.22 124.98 538.52 172.36 152.586 100.790 20.344 145.929 107.721 199.365 93.271 2014 3321 86533.7 142082.7 771462 913091 128050.219 159.906614 40.570691 265.885808 693.3961 127.2088 14.4099 8.45 20.24 11.72 85.54 27.47 15.15 2363.579 146.2051 178.3046 1815160000 2078880000 770180000 1075900000 223.584 430.265 112.413 210.933 50.054 4.35 4.31 2.09 317046 1301500 320885 30221667 4505.5 6373.0 2542633333 2610933333 14.45 25.11 6.97 13.51 591 579 10976.682 439.067 10989.938 439.597 53798.6 0.13969 536518.74 66822.97 25983.74 224178.10 8635.30 658754.21 268721.05 246272.79 231041.57 182.4453 676.8128 2730.4980 45.8765 590.8789 212.6821 1058.6776 118.1285 2409.8035 51.8103 1541.9512 81.1994 290.7562 426.7362 770.1392 162.0191 182.5974 676.4342 222269428867 102232233590 113251.4 3598946.3 1100453394570 2307524535457 1998234148863 784489570523 121.08 526.46 41.05 1545.23 40.20 1579.14 6242.68 10.26 235.37 271.24 13141.51 4.86 11373.95 5.61 1174.99 54.42 22955.64 11.10 9878.88 6.47 142135.58 0.67 118225.55 1.13 1530 41.6567 41.5531 44.7104 44.2889 631 645 763 10046 20133 10232 20545 12127 24238 785968 1.018 1.160 11.152 2.630122599 7.470772930 2.709205428 3.451830169 6.218069257 36573.8 447023143 1581.66 1908.76 452.99 146.74 634.13 189.40 148.376 100.240 18.474 118.099 99.215 198.750 93.952 2976 3671 85946.0 100754.3 592741 510470 149056.953 123.298396 38.492263 167.900597 1278.6466 68.3072 7.3147 15.15 38.44 20.47 147.22 50.01 9.27 4957.686 85.2893 107.3608 893624000 928320000 363750000 493535000 128.597 248.557 35.4049 67.9907 57.956 3.57 3.57 1.72 163220 676218 163263 16751667 2696.5 3813.4 1313933333 1414700000 13.27 20.98 8.88 14.37 783 695 5867.108 234.684 5903.205 236.128 51741.0 0.20595 298801.44 48672.24 14274.53 147448.72 5315.15 289518.14 136942.13 161475.24 133415.42 5734266667 2586083333 96.9697 644.9768 1780.4421 35.5549 246.3732 259.2779 504.3578 125.4467 1275.7707 49.5111 812.1023 77.8148 134.5717 468.7809 404.2338 156.0563 97.0913 645.0019 111414557280 51804333637 56647.3 1799293.0 550700307433 1152838928063 997034621883 392782689987 62.18 513.23 28.74 1105.96 28.83 1102.82 2784.67 11.49 119.01 268.82 6744.66 4.74 5837.62 5.47 545.13 58.71 11710.59 10.91 5118.29 6.24 113162.29 0.70 71673.85 1.30 1107 23.7333 23.7210 25.7178 25.5121 1127 1146 1358 18004 35926 18269 36539 21666 43371 877722 0.917 1.796 21.132 5.030031580 15.028121929 4.937265506 6.092750299 13.419454501 20430.9 272722940 1375.33 1526.81 525.39 121.47 429.16 123.88 148.484 102.588 22.984 177.758 119.576 213.907 116.122 5590 6242 51218.9 63182.2 726271 791787 171120.354 122.587709 44.30492 166.676131 1190.7549 75.0831 8.1743 12.77 31.12 16.49 116.54 39.27 12.00 5012.26 125.5813 157.6504 857890000 880249000 333445000 445912000 128.124 245.542 34.8451 66.3418 50.473 3.62 3.62 1.74 216064 810375 216115 20312667 2713.4 3331.7 1696766667 1783700000 16.34 24.47 12.18 20.88 780 655 5944.062 237.763 5972.643 238.905 51784.1 0.20702 292243.61 45686.88 13264.79 140791.52 5300.29 279662.55 128129.56 149355.54 131909.91 5808636667 2538406923 73.3807 859.8653 1376.2142 46.4318 240.8667 267.7088 417.1186 152.9895 968.6267 65.9747 624.4789 102.2265 126.9310 499.5866 316.0466 201.6258 73.2077 859.877 163633625553 53005879330 54195.1 1890935.3 659346857987 1169673735557 1012537766210 462415837320 60.77 1049.31 26.61 2377.79 26.57 2378.07 1464.29 43.73 117.88 541.29 5311.48 12.07 6067.78 10.53 582.08 110.00 11794.32 10.84 6148.89 10.40 120515.11 0.83 85400.88 1.21 1396 30.8507 30.8165 32.6750 31.9245 861 873 1032 13759 27538 13963 27885 16484 32972 855569 0.952 1.944 21.286 6.216379849 15.964931688 7.480674706 9.404348500 17.194492779 8389.0 365034349 1422.08 1628.80 504.09 118.45 416.03 122.77 161.648 105.797 26.225 227.517 125.364 211.079 113.704 3591 4081 24409.4 74803.6 OpenBenchmarking.org
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 +/- 4721.80, N = 3 SE +/- 5539.49, N = 3 726271 592741 771462 925820 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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 +/- 1897.81, N = 3 SE +/- 5499.45, N = 3 791787 510470 913091 1353957 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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 1933.66 2700.35
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: 41.8 / Avg: 472.21 / Max: 667.59 Min: 41.89 / Avg: 501.4 / Max: 701.41
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
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
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
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 80 120 160 200 122.59 123.30 159.91 164.57
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: 199.89 / Avg: 289.71 / Max: 346.75 Min: 44.3 / Avg: 290.19 / Max: 351.48
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
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 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
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
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 +/- 1.25, N = 5 SE +/- 1.29, N = 5 1190.75 1278.65 693.40 610.11 1. (CXX) g++ options: -O3 -flto -pthread
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 2.954 2.470
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: 41.7 / Avg: 234.69 / Max: 432.58 Min: 41.99 / Avg: 247.05 / Max: 432.29
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 +/- 0.05, N = 6 SE +/- 0.22, N = 6 75.08 68.31 127.21 134.89 1. (CXX) g++ options: -O3 -flto -pthread
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 0.577 0.592
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: 40.08 / Avg: 220.5 / Max: 656.14 Min: 41.01 / Avg: 227.98 / Max: 671.57
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 +/- 0.0257, N = 6 SE +/- 0.0081, N = 6 8.1743 7.3147 14.4099 15.9305 1. (CXX) g++ options: -O3 -flto -pthread
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 0.052 0.056
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: 40.28 / Avg: 278.8 / Max: 679.54 Min: 41.13 / Avg: 283.59 / Max: 713.06
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 +/- 0.05, N = 5 SE +/- 0.02, N = 6 12.77 15.15 8.45 7.12
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: 196.82 / Avg: 459.78 / Max: 647.78 Min: 42.04 / Avg: 405.53 / Max: 681.36
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 +/- 0.04, N = 3 SE +/- 0.03, N = 3 31.12 38.44 20.24 16.28
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: 195.46 / Avg: 557.64 / Max: 654.85 Min: 41.98 / Avg: 525.55 / Max: 684.07
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 +/- 0.04, N = 4 SE +/- 0.02, N = 5 16.49 20.47 11.72 9.87
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: 194.02 / Avg: 484.54 / Max: 664 Min: 42.57 / Avg: 439.22 / Max: 700.81
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 +/- 0.08, N = 3 SE +/- 0.19, N = 3 116.54 147.22 85.54 69.03
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: 195.38 / Avg: 605.16 / Max: 674.35 Min: 44.79 / Avg: 604.43 / Max: 701.89
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 +/- 0.09, N = 3 SE +/- 0.08, N = 3 39.27 50.01 27.47 21.75
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: 194.9 / Avg: 571.12 / Max: 665.24 Min: 43.07 / Avg: 552.47 / Max: 701.42
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 +/- 0.04, N = 4 SE +/- 0.27, N = 4 12.00 9.27 15.15 21.65 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
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: 40.69 / Avg: 293.85 / Max: 373.73 Min: 41.07 / Avg: 322.81 / Max: 382.87
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 2363.58 2143.51 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
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: 40.71 / Avg: 623.68 / Max: 701.99 Min: 41.56 / Avg: 614.44 / Max: 701.65
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: 97.83 / Avg: 446.01 / Max: 702.85 Min: 21.61 / Avg: 460.57 / Max: 792.38
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 +/- 0.13, N = 7 SE +/- 0.16, N = 9 125.58 85.29 146.21 210.07
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 0.420 0.668
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: 40.12 / Avg: 347.93 / Max: 636 Min: 41.29 / Avg: 314.33 / Max: 666.86
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 +/- 0.26, N = 8 SE +/- 0.48, N = 9 157.65 107.36 178.30 255.99
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 0.570 0.895
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: 40.75 / Avg: 312.56 / Max: 630.49 Min: 41.35 / Avg: 286.01 / Max: 649.79
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 1815160000 1571100000 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 2078880000 1724030000 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 770180000 672541000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
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 1075900000 960471000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
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 1664973.76 1513281.14
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: 40.03 / Avg: 646.2 / Max: 688.13 Min: 41.39 / Avg: 634.69 / Max: 685.66
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 +/- 1.28, N = 5 SE +/- 1.37, N = 5 128.12 128.60 223.58 221.77 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 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 0.569 0.548
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: 41.14 / Avg: 392.95 / Max: 599.94 Min: 44.94 / Avg: 404.61 / Max: 614.02
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 +/- 0.77, N = 6 SE +/- 0.86, N = 7 245.54 248.56 430.27 433.60 1. (CXX) g++ options: -O3
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 1.263 1.289
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: 40.74 / Avg: 340.8 / Max: 617.42 Min: 42.06 / Avg: 336.38 / Max: 638.26
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 +/- 1.48, N = 3 SE +/- 0.77, N = 3 34.85 35.40 112.41 109.65 1. (CXX) g++ options: -O3
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 0.252 0.239
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: 40.61 / Avg: 446.09 / Max: 590.49 Min: 41.88 / Avg: 458.33 / Max: 608.28
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 +/- 1.62, N = 5 SE +/- 0.28, N = 5 66.34 67.99 210.93 207.20 1. (CXX) g++ options: -O3
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 0.521 0.507
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: 41.26 / Avg: 404.72 / Max: 596.32 Min: 43.55 / Avg: 408.39 / Max: 622.11
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 +/- 0.31, N = 3 SE +/- 0.37, N = 3 50.47 57.96 50.05 27.28 1. (CC) gcc options: -O2 -pthread
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: 41.78 / Avg: 512.26 / Max: 690.1 Min: 42.81 / Avg: 589.87 / Max: 707.99
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 +/- 0.03, N = 7 SE +/- 0.01, N = 7 3.62 3.57 4.35 4.76
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 0.015 0.016
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: 21.72 / Avg: 294.18 / Max: 551.63 Min: 41.67 / Avg: 298.49 / Max: 561.86
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 +/- 0.03, N = 15 SE +/- 0.01, N = 7 3.62 3.57 4.31 4.78
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 0.015 0.016
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: 40.95 / Avg: 295.21 / Max: 552.75 Min: 40.73 / Avg: 294.58 / Max: 558.39
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 +/- 0.02, N = 5 SE +/- 0.00, N = 5 1.74 1.72 2.09 2.35
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: 20.37 / Avg: 219.82 / Max: 297.83 Min: 19.75 / Avg: 215.85 / Max: 296.82 Min: 41.02 / Avg: 379.66 / Max: 554.87 Min: 41.62 / Avg: 383.91 / Max: 567.02
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 +/- 1964.45, N = 3 SE +/- 2298.36, N = 3 216064 163220 317046 407860 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
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 170 340 510 680 850 770.87 642.02 585.47 736.92
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 110 220 330 440 550 Min: 20.74 / Avg: 281.36 / Max: 322.03 Min: 20.76 / Avg: 258.09 / Max: 293.57 Min: 20 / Avg: 254.23 / Max: 291.94 Min: 20.17 / Avg: 280.29 / Max: 320.86 Min: 42.35 / Avg: 551.23 / Max: 631.68 Min: 42.39 / Avg: 564.26 / Max: 642.19 Min: 40.81 / Avg: 541.52 / Max: 627.33 Min: 42.38 / Avg: 553.47 / Max: 644.02
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 +/- 15887.63, N = 4 SE +/- 18163.51, N = 15 810375 676218 1301500 1524533 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
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 2047.36 2235.81
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: 41.73 / Avg: 635.7 / Max: 734.09 Min: 43.21 / Avg: 681.87 / Max: 792.38
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 +/- 1247.49, N = 3 SE +/- 3726.56, N = 3 216115 163263 320885 409850 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 Per Watt, More Is Better John The Ripper 2023.03.14 Test: Blowfish SMT On SMT Off 170 340 510 680 850 768.10 632.58 582.13 726.35
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 +/- 140717.61, N = 3 SE +/- 83819.91, N = 3 20312667 16751667 30221667 34879333 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt
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 57347.31 67440.80
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: 40.66 / Avg: 526.99 / Max: 698.52 Min: 41.25 / Avg: 517.18 / Max: 684.78
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 +/- 114.55, N = 9 SE +/- 62.14, N = 4 2713.4 2696.5 4505.5 4976.7 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
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 13.89 15.41
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: 41.28 / Avg: 324.27 / Max: 648.28 Min: 42.27 / Avg: 322.92 / Max: 664.29
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 +/- 66.66, N = 9 SE +/- 1.43, N = 3 3331.7 3813.4 6373.0 6112.6 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
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 19.92 19.04
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: 40.86 / Avg: 319.88 / Max: 674.35 Min: 41.94 / Avg: 321.06 / Max: 680.36
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 +/- 1068228.02, N = 3 SE +/- 1877054.43, N = 3 1696766667 1313933333 2542633333 2544400000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
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 4850824.91 4829201.80
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: 41.3 / Avg: 524.17 / Max: 605.41 Min: 42.35 / Avg: 526.88 / Max: 607.73
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 +/- 3555434.03, N = 3 SE +/- 569600.25, N = 3 1783700000 1414700000 2610933333 3330166667 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
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 5062810.80 6142943.89
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: 42.64 / Avg: 515.71 / Max: 606.26 Min: 43.17 / Avg: 542.11 / Max: 636.19
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 +/- 0.10, N = 3 SE +/- 0.20, N = 4 16.34 13.27 14.45 18.61
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 0.031 0.036
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: 41.49 / Avg: 468.61 / Max: 635.46 Min: 41.78 / Avg: 510.83 / Max: 659.11
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 +/- 0.60, N = 15 SE +/- 1.35, N = 15 24.47 20.98 25.11 34.45
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 0.050 0.062
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: 41.2 / Avg: 501.47 / Max: 651.41 Min: 42.69 / Avg: 558.11 / Max: 673.06
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 = 12 SE +/- 0.11, N = 15 12.18 8.88 6.97 9.86
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 0.017 0.022
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: 41.4 / Avg: 402.3 / Max: 472.3 Min: 42.57 / Avg: 445.45 / Max: 519.63
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 +/- 0.35, N = 15 SE +/- 0.03, N = 5 20.88 14.37 13.51 19.02
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 0.048 0.068
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: 40.47 / Avg: 279.04 / Max: 366.94 Min: 41.26 / Avg: 281.59 / Max: 380.32
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 +/- 0.73, N = 3 SE +/- 8.04, N = 3 780 783 591 580 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl
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 2.322 2.365
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: 188.47 / Avg: 254.51 / Max: 270.43 Min: 43.1 / Avg: 245.22 / Max: 266.18
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 +/- 1.48, N = 3 SE +/- 5.45, N = 6 655 695 579 545 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -lpthread -ldl
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 2.249 2.176
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: 188.93 / Avg: 257.46 / Max: 279.59 Min: 40.82 / Avg: 250.44 / Max: 275.37
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 +/- 180.32, N = 15 SE +/- 5.35, N = 9 5944.06 5867.11 10976.68 6328.07 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 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 +/- 7.21, N = 15 SE +/- 0.21, N = 9 237.76 234.68 439.07 253.12 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 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 1.965 0.940
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: 40.2 / Avg: 223.4 / Max: 628.17 Min: 40.84 / Avg: 269.38 / Max: 547.76
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 +/- 150.60, N = 12 SE +/- 10.75, N = 4 5972.64 5903.21 10989.94 7888.09 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 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 +/- 6.02, N = 12 SE +/- 0.43, N = 4 238.91 236.13 439.60 315.52 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 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 0.949 0.819
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: 39.97 / Avg: 463.17 / Max: 639.3 Min: 40.87 / Avg: 385.07 / Max: 627.6
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 +/- 478.13, N = 5 SE +/- 411.42, N = 5 51784.1 51741.0 53798.6 62774.2 1. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi
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 90 180 270 360 450 419.54 430.07 236.18 268.29
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: 39.96 / Avg: 227.79 / Max: 468.68 Min: 39.79 / Avg: 233.98 / Max: 478.7
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 +/- 0.00135, N = 5 SE +/- 0.00040, N = 3 0.20702 0.20595 0.13969 0.10646
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: 42.59 / Avg: 421.91 / Max: 639.89 Min: 43.91 / Avg: 386.17 / Max: 712.38
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 +/- 3792.90, N = 12 SE +/- 4903.75, N = 15 292243.61 298801.44 536518.74 491231.83 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
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 1408.28 1236.19
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: 40.15 / Avg: 380.97 / Max: 653.61 Min: 40.66 / Avg: 397.37 / Max: 663.29
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 +/- 568.39, N = 8 SE +/- 348.18, N = 8 45686.88 48672.24 66822.97 67554.74 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
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 70 140 210 280 350 304.95 340.22 257.05 246.35
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: 40.04 / Avg: 259.96 / Max: 632.64 Min: 41.39 / Avg: 274.22 / Max: 646.25
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 +/- 940.02, N = 12 SE +/- 413.32, N = 15 13264.79 14274.53 25983.74 23705.40 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
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 69.13 59.29
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: 40.26 / Avg: 375.87 / Max: 680.44 Min: 41.42 / Avg: 399.82 / Max: 682.45
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 +/- 2978.54, N = 13 SE +/- 1757.80, N = 9 140791.52 147448.72 224178.10 211432.89 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
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 1105.80 896.92 823.02
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: 40.17 / Avg: 249.94 / Max: 637.03 Min: 40.97 / Avg: 256.9 / Max: 647.79
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 +/- 105.10, N = 15 SE +/- 104.60, N = 15 5300.29 5315.15 8635.30 9849.01 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
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 28.07 31.24
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: 40.25 / Avg: 307.61 / Max: 652.71 Min: 41.72 / Avg: 315.26 / Max: 633.61
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 +/- 4916.03, N = 15 SE +/- 7199.59, N = 15 279662.55 289518.14 658754.21 591505.17 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
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 2122.50 1821.35
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: 40.61 / Avg: 310.37 / Max: 663.69 Min: 40.56 / Avg: 324.76 / Max: 663.39
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 +/- 599.41, N = 10 SE +/- 1284.96, N = 11 128129.56 136942.13 268721.05 249109.09 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
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 1554.08 1433.88
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: 40.59 / Avg: 172.91 / Max: 610.41 Min: 41.54 / Avg: 173.73 / Max: 526.19
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 +/- 8884.57, N = 15 SE +/- 732.52, N = 9 149355.54 161475.24 246272.79 236490.76 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
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 1082.90 1034.03
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: 39.68 / Avg: 227.42 / Max: 648.76 Min: 41.07 / Avg: 228.71 / Max: 655.77
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 +/- 1880.70, N = 6 SE +/- 1293.24, N = 6 131909.91 133415.42 231041.57 224243.28 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
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 140 280 420 560 700 625.95 657.40 602.82 567.82
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: 20.01 / Avg: 210.74 / Max: 311.07 Min: 19.6 / Avg: 202.94 / Max: 285.46 Min: 41.29 / Avg: 383.27 / Max: 632.69 Min: 40.07 / Avg: 394.92 / Max: 657.14
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
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
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
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: 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: 21.11 / Avg: 288.26 / Max: 349.64 Min: 20.65 / Avg: 287.58 / Max: 350.2
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 +/- 0.07, N = 3 SE +/- 0.15, N = 3 73.38 96.97 182.45 139.66
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 +/- 0.02, N = 3 SE +/- 0.27, N = 3 859.87 644.98 676.81 902.86
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: 194.94 / Avg: 478.36 / Max: 692.61 Min: 43.81 / Avg: 482.63 / Max: 702.05
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 +/- 33.47, N = 15 SE +/- 6.95, N = 3 1376.21 1780.44 2730.50 2627.31
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 +/- 0.57, N = 15 SE +/- 0.13, N = 3 46.43 35.55 45.88 48.62
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: 193.54 / Avg: 505.33 / Max: 653.26 Min: 42.64 / Avg: 517.56 / Max: 680.99
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 +/- 11.89, N = 15 SE +/- 6.10, N = 15 240.87 246.37 590.88 556.94
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 +/- 3.96, N = 15 SE +/- 2.29, N = 15 267.71 259.28 212.68 229.16
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: 192.96 / Avg: 504.41 / Max: 673.83 Min: 42.65 / Avg: 496.12 / Max: 694.42
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 +/- 0.90, N = 3 SE +/- 0.32, N = 3 417.12 504.36 1058.68 797.62
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 +/- 0.10, N = 3 SE +/- 0.05, N = 3 152.99 125.45 118.13 159.89
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: 194.59 / Avg: 576 / Max: 679.21 Min: 43.03 / Avg: 568.51 / Max: 686.75
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 +/- 1.63, N = 3 SE +/- 1.60, N = 3 968.63 1275.77 2409.80 1868.33
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 +/- 0.04, N = 3 SE +/- 0.06, N = 3 65.97 49.51 51.81 68.36
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: 193.12 / Avg: 553.79 / Max: 663.52 Min: 43.24 / Avg: 556.63 / Max: 669.25
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 +/- 1.38, N = 3 SE +/- 1.02, N = 3 624.48 812.10 1541.95 1190.72
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 +/- 0.05, N = 3 SE +/- 0.07, N = 3 102.23 77.81 81.20 107.18
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: 196.83 / Avg: 534.41 / Max: 647.28 Min: 43.67 / Avg: 535.06 / Max: 668.18
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 +/- 2.51, N = 3 SE +/- 0.12, N = 3 126.93 134.57 290.76 242.96
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 +/- 3.79, N = 3 SE +/- 0.26, N = 3 499.59 468.78 426.74 521.31
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: 101.92 / Avg: 460.64 / Max: 658.21 Min: 42.89 / Avg: 453.79 / Max: 677.58
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 +/- 0.92, N = 3 SE +/- 0.72, N = 3 316.05 404.23 770.14 602.26
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 +/- 0.09, N = 3 SE +/- 0.18, N = 3 201.63 156.06 162.02 211.48
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: 195.28 / Avg: 482.32 / Max: 698.28 Min: 41.6 / Avg: 459.55 / Max: 712.43
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 +/- 0.18, N = 3 SE +/- 0.08, N = 3 73.21 97.09 182.60 139.88
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 +/- 0.21, N = 3 SE +/- 0.45, N = 3 859.88 645.00 676.43 902.78
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: 192.79 / Avg: 479.5 / Max: 693.71 Min: 44.26 / Avg: 486.69 / Max: 702.22
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 +/- 224959781.68, N = 3 SE +/- 207719324.78, N = 3 163633625553 111414557280 222269428867 327926038513 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 368054429.03 485100025.27
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 130 260 390 520 650 Min: 20.72 / Avg: 333.08 / Max: 356.22 Min: 20.37 / Avg: 285.19 / Max: 341.28 Min: 42.55 / Avg: 603.9 / Max: 697.6 Min: 41.96 / Avg: 676 / Max: 716.17
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 +/- 660141733.06, N = 3 SE +/- 22577791.79, N = 3 53005879330 51804333637 102232233590 106049655203 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 150591857.13 156820493.54
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: 41.9 / Avg: 678.87 / Max: 711.36 Min: 44.01 / Avg: 676.25 / Max: 700.91
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 +/- 3.85, N = 3 SE +/- 3.93, N = 3 54195.1 56647.3 113251.4 108490.5 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 +/- 1067.40, N = 3 SE +/- 163.02, N = 3 1890935.3 1799293.0 3598946.3 3782091.8 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 6002.69 6122.57
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: 42.69 / Avg: 599.56 / Max: 681.84 Min: 44.51 / Avg: 617.73 / Max: 697.4
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 +/- 107897909.37, N = 3 SE +/- 46014499.85, N = 3 659346857987 550700307433 1100453394570 1317549954027 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 1666389521.27 1804203926.06
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: 42.08 / Avg: 660.38 / Max: 727.38 Min: 44.02 / Avg: 730.27 / Max: 792.36
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 +/- 4718005576.14, N = 3 SE +/- 4494053056.14, N = 3 1169673735557 1152838928063 2307524535457 2339890700107 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 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 3357766493.21 3375379415.53
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: 42.47 / Avg: 687.22 / Max: 716.34 Min: 42.1 / Avg: 693.22 / Max: 715.73
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 +/- 2904032106.06, N = 3 SE +/- 676471418.80, N = 3 1012537766210 997034621883 1998234148863 2019317070327 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 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 2960156985.81 2919004979.80
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: 42.53 / Avg: 675.04 / Max: 707.9 Min: 45.1 / Avg: 691.78 / Max: 716.83
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 +/- 39882779.79, N = 3 SE +/- 267574958.87, N = 3 462415837320 392782689987 784489570523 909817360110 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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 1185929906.41 1256483723.09
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: 42.18 / Avg: 661.5 / Max: 692.49 Min: 42.98 / Avg: 724.1 / Max: 753.79
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 +/- 0.02, N = 3 SE +/- 0.05, N = 3 60.77 62.18 121.08 121.03 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 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 +/- 0.28, N = 3 SE +/- 0.18, N = 3 1049.31 513.23 526.46 526.98 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 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: 193.21 / Avg: 621.51 / Max: 702.85 Min: 45.01 / Avg: 611.1 / Max: 703.01
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 +/- 0.29, N = 3 SE +/- 0.14, N = 3 26.61 28.74 41.05 40.67 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: 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 +/- 10.43, N = 3 SE +/- 4.07, N = 3 2377.79 1105.96 1545.23 1559.95 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
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: 199.54 / Avg: 537.68 / Max: 660.12 Min: 43.22 / Avg: 524.02 / Max: 656.42
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 +/- 0.14, N = 3 SE +/- 0.22, N = 3 26.57 28.83 40.20 40.90 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 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 +/- 4.61, N = 3 SE +/- 8.82, N = 3 2378.07 1102.82 1579.14 1552.15 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 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: 195.17 / Avg: 529.98 / Max: 666.79 Min: 44.3 / Avg: 527.63 / Max: 662.1
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 +/- 87.31, N = 13 SE +/- 93.68, N = 15 1464.29 2784.67 6242.68 5810.41 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 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 +/- 0.12, N = 13 SE +/- 0.15, N = 15 43.73 11.49 10.26 11.03 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 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: 193.73 / Avg: 615.75 / Max: 674.39 Min: 42.88 / Avg: 597.65 / Max: 674.79
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 +/- 0.08, N = 3 SE +/- 0.09, N = 3 117.88 119.01 235.37 235.65 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 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 +/- 0.06, N = 3 SE +/- 0.07, N = 3 541.29 268.82 271.24 270.93 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 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: 195.77 / Avg: 585.67 / Max: 664.94 Min: 45.43 / Avg: 578.64 / Max: 665.53
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 +/- 2.74, N = 3 SE +/- 7.09, N = 3 5311.48 6744.66 13141.51 13214.20 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
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 4.86 4.83 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 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: 195.61 / Avg: 613.08 / Max: 656.04 Min: 42.91 / Avg: 602.26 / Max: 657.52
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 +/- 2.58, N = 3 SE +/- 9.34, N = 3 6067.78 5837.62 11373.95 11299.32 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 5.61 5.64 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 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: 197.92 / Avg: 655.04 / Max: 695.42 Min: 44.97 / Avg: 643.58 / Max: 697.31
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 +/- 4.51, N = 3 SE +/- 7.44, N = 3 582.08 545.13 1174.99 1159.99 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
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 +/- 0.21, N = 3 SE +/- 0.35, N = 3 110.00 58.71 54.42 55.12 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 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: 197.64 / Avg: 618.57 / Max: 675.82 Min: 44.56 / Avg: 611.86 / Max: 676.4
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 +/- 15.58, N = 3 SE +/- 16.03, N = 3 11794.32 11710.59 22955.64 22954.44 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 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 10.84 10.91 11.10 11.00 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 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: 198.25 / Avg: 614.16 / Max: 663.84 Min: 43.92 / Avg: 603.75 / Max: 664.52
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 +/- 10.15, N = 3 SE +/- 11.31, N = 3 6148.89 5118.29 9878.88 9889.61 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: 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 6.47 6.46 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 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: 199.39 / Avg: 575.68 / Max: 630.57 Min: 44.24 / Avg: 563.32 / Max: 629.29
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 +/- 158.47, N = 3 SE +/- 676.62, N = 3 120515.11 113162.29 142135.58 168372.89 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 0.67 0.62 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 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: 199.33 / Avg: 511.7 / Max: 565.18 Min: 42.63 / Avg: 504.47 / Max: 594.16
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 +/- 420.06, N = 3 SE +/- 602.14, N = 3 85400.88 71673.85 118225.55 133931.53 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 1.13 1.08 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
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: 196.32 / Avg: 577.61 / Max: 653.4 Min: 42.85 / Avg: 599.24 / Max: 664.03
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 +/- 1.33, N = 3 SE +/- 6.06, N = 3 1396 1107 1530 1720
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 3.512 3.676
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: 41.74 / Avg: 435.67 / Max: 614.27 Min: 41.51 / Avg: 467.94 / Max: 643.91
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 +/- 0.02, N = 3 SE +/- 0.05, N = 3 30.85 23.73 41.66 49.13
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 0.078 0.089
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: 42.16 / Avg: 534.35 / Max: 564.38 Min: 41.99 / Avg: 553.35 / Max: 585.29
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 41.55 49.23
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 0.090 0.102
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: 42.19 / Avg: 462.03 / Max: 561.22 Min: 44 / Avg: 483.3 / Max: 582.81
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 +/- 0.02, N = 3 SE +/- 0.09, N = 3 32.68 25.72 44.71 53.83
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 0.082 0.095
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: 40.66 / Avg: 542.85 / Max: 624.55 Min: 44.15 / Avg: 566.91 / Max: 661.42
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 +/- 0.07, N = 3 SE +/- 0.03, N = 3 31.92 25.51 44.29 52.73
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 0.081 0.092
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: 41.49 / Avg: 544.27 / Max: 626.51 Min: 42.48 / Avg: 572.66 / Max: 664.61
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 +/- 0.58, N = 3 SE +/- 2.85, N = 3 861 1127 631 482 1. (CXX) g++ options: -O3 -lm -ldl
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: 41.01 / Avg: 558.64 / Max: 651.98 Min: 41.89 / Avg: 609 / Max: 686.18
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 +/- 0.33, N = 3 SE +/- 1.45, N = 3 873 1146 645 495 1. (CXX) g++ options: -O3 -lm -ldl
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: 42.03 / Avg: 559.72 / Max: 652.58 Min: 44.18 / Avg: 586.29 / Max: 680.45
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 +/- 0.88, N = 3 SE +/- 0.33, N = 3 1032 1358 763 582 1. (CXX) g++ options: -O3 -lm -ldl
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: 42.47 / Avg: 564.46 / Max: 651.55 Min: 43.64 / Avg: 585.98 / Max: 682.76
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 +/- 14.52, N = 3 SE +/- 7.80, N = 3 13759 18004 10046 7698 1. (CXX) g++ options: -O3 -lm -ldl
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: 42.66 / Avg: 587.43 / Max: 654.45 Min: 42.72 / Avg: 617.3 / Max: 686.55
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 +/- 38.84, N = 3 SE +/- 64.83, N = 3 27538 35926 20133 15619 1. (CXX) g++ options: -O3 -lm -ldl
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: 41.88 / Avg: 551.43 / Max: 653.67 Min: 43.58 / Avg: 572.24 / Max: 686.68
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 +/- 5.29, N = 3 SE +/- 19.63, N = 3 13963 18269 10232 7817 1. (CXX) g++ options: -O3 -lm -ldl
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: 41.78 / Avg: 589.05 / Max: 653.82 Min: 43.88 / Avg: 615.69 / Max: 685.2
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 +/- 96.56, N = 3 SE +/- 41.40, N = 3 27885 36539 20545 15731 1. (CXX) g++ options: -O3 -lm -ldl
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: 42.15 / Avg: 573.14 / Max: 653.73 Min: 44.88 / Avg: 575.16 / Max: 684.71
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 +/- 8.65, N = 3 SE +/- 27.17, N = 3 16484 21666 12127 9253 1. (CXX) g++ options: -O3 -lm -ldl
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: 41.61 / Avg: 566.27 / Max: 654 Min: 44.72 / Avg: 616.86 / Max: 687.3
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 +/- 17.91, N = 3 SE +/- 34.44, N = 3 32972 43371 24238 18455 1. (CXX) g++ options: -O3 -lm -ldl
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: 42.38 / Avg: 568.08 / Max: 654.97 Min: 42.82 / Avg: 625.58 / Max: 686.92
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 +/- 4149.87, N = 3 SE +/- 23693.25, N = 12 855569 877722 785968 827878 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
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 +/- 0.006, N = 3 SE +/- 0.025, N = 12 0.952 0.917 1.018 0.974 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
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: 191.46 / Avg: 297.52 / Max: 385.38 Min: 40.03 / Avg: 294.82 / Max: 404.71
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 +/- 0.003, N = 12 SE +/- 0.010, N = 14 1.944 1.796 1.160 1.508 1. (CXX) g++ options: -O3
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: 40.21 / Avg: 164.82 / Max: 618.35 Min: 40.74 / Avg: 202.59 / Max: 640.65
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 +/- 0.03, N = 5 SE +/- 0.01, N = 5 21.29 21.13 11.15 11.12 1. (CXX) g++ options: -O3
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: 41.23 / Avg: 464.71 / Max: 636.03 Min: 41.84 / Avg: 485.63 / Max: 670.4
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 +/- 0.013893024, N = 5 SE +/- 0.014293172, N = 5 6.216379849 5.030031580 2.630122599 3.906675095 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
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: 43.56 / Avg: 283.61 / Max: 651.99 Min: 42.65 / Avg: 310.22 / Max: 679.55
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 +/- 0.056354216, N = 4 SE +/- 0.066481426, N = 15 15.964931688 15.028121929 7.470772930 9.997447570 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
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: 355.84 / Max: 655.14 Min: 41.53 / Avg: 396.49 / Max: 677.63
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 +/- 0.014728964, N = 6 SE +/- 0.086611165, N = 15 7.480674706 4.937265506 2.709205428 3.782741798 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
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: 41.07 / Avg: 299.85 / Max: 655.45 Min: 42.2 / Avg: 321.36 / Max: 664.42
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 +/- 0.065109589, N = 12 SE +/- 0.120152278, N = 15 9.404348500 6.092750299 3.451830169 4.727830148 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
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: 40.89 / Avg: 314 / Max: 658.8 Min: 41.07 / Avg: 338.57 / Max: 663.27
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 +/- 0.062799204, N = 15 SE +/- 0.063515594, N = 4 17.194492779 13.419454501 6.218069257 9.778381437 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
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: 41.07 / Avg: 358.64 / Max: 670.26 Min: 41.18 / Avg: 415.4 / Max: 678.2
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 +/- 211.99, N = 3 SE +/- 831.80, N = 15 8389.0 20430.9 36573.8 17891.4 1. (CXX) g++ options: -march=native -mfma -O3 -fno-trapping-math -fno-math-errno -lgtest
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 70.64 31.90
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: 41.48 / Avg: 517.72 / Max: 634.9 Min: 43.09 / Avg: 560.78 / Max: 670.82
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 +/- 6859221.31, N = 12 SE +/- 9265130.36, N = 15 365034349 272722940 447023143 582386924 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
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 746293.69 896399.09
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: 41.98 / Avg: 598.99 / Max: 681.91 Min: 42.5 / Avg: 649.7 / Max: 710.41
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 +/- 11.49, N = 15 SE +/- 14.23, N = 15 1422.08 1375.33 1581.66 1225.41
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 4.206 3.665
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: 194.45 / Avg: 376.07 / Max: 452.14 Min: 41.4 / Avg: 334.38 / Max: 420.36
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 +/- 18.22, N = 3 SE +/- 15.22, N = 15 1628.80 1526.81 1908.76 1770.91
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 4.540 4.584
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: 192.51 / Avg: 420.4 / Max: 490.99 Min: 42.41 / Avg: 386.28 / Max: 479.62
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 +/- 5.52, N = 4 SE +/- 1.69, N = 3 504.09 525.39 452.99 329.22
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 1.099 0.859
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: 189.77 / Avg: 412.23 / Max: 457.74 Min: 42.83 / Avg: 383.45 / Max: 426.38
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 +/- 0.68, N = 3 SE +/- 1.70, N = 3 118.45 121.47 146.74 124.98
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 0.361 0.319
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: 194.78 / Avg: 406.75 / Max: 462.03 Min: 42.84 / Avg: 391.59 / Max: 458.74
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 +/- 6.73, N = 3 SE +/- 4.51, N = 15 416.03 429.16 634.13 538.52
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 1.391 1.227
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: 192.59 / Avg: 456.01 / Max: 498.3 Min: 21.61 / Avg: 439.04 / Max: 490.17
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 +/- 0.13, N = 3 SE +/- 0.59, N = 3 122.77 123.88 189.40 172.36
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 0.429 0.409
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: 194 / Avg: 441.9 / Max: 511.48 Min: 42.05 / Avg: 421.61 / Max: 491.54
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 +/- 1.24, N = 3 SE +/- 1.29, N = 3 161.65 148.48 148.38 152.59
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: 40.34 / Avg: 250.05 / Max: 652.68 Min: 43.13 / Avg: 253.79 / Max: 657.39
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 +/- 0.30, N = 3 SE +/- 1.01, N = 3 105.80 102.59 100.24 100.79
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: 40.04 / Avg: 275.62 / Max: 665.8 Min: 41.9 / Avg: 275.11 / Max: 667.57
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 +/- 0.12, N = 13 SE +/- 0.14, N = 13 26.23 22.98 18.47 20.34
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: 40.17 / Avg: 267.88 / Max: 656.25 Min: 41.05 / Avg: 285.97 / Max: 638.63
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 +/- 0.55, N = 3 SE +/- 0.51, N = 3 227.52 177.76 118.10 145.93
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: 40.59 / Avg: 462.79 / Max: 676.08 Min: 41.29 / Avg: 468.11 / Max: 673.75
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 +/- 0.70, N = 3 SE +/- 0.91, N = 3 125.36 119.58 99.22 107.72
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: 41.09 / Avg: 351.2 / Max: 660.92 Min: 42.36 / Avg: 337.35 / Max: 671.56
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 +/- 0.11, N = 3 SE +/- 0.14, N = 3 211.08 213.91 198.75 199.37
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: 41.34 / Avg: 283.34 / Max: 646.29 Min: 41.07 / Avg: 282.76 / Max: 651.4
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 +/- 0.04, N = 3 SE +/- 0.09, N = 3 113.70 116.12 93.95 93.27
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: 40.21 / Avg: 335.02 / Max: 662.48 Min: 40.27 / Avg: 330.87 / Max: 680.38
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 +/- 31.80, N = 15 SE +/- 23.04, N = 15 3591 5590 2976 2014 1. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
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: 40.87 / Avg: 257.24 / Max: 584.5 Min: 41.02 / Avg: 232.68 / Max: 605.7
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 +/- 53.03, N = 15 SE +/- 23.29, N = 12 4081 6242 3671 3321 1. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
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: 40.79 / Avg: 251.07 / Max: 574.98 Min: 40.87 / Avg: 242.46 / Max: 590.56
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 +/- 83.35, N = 4 SE +/- 871.70, N = 4 24409.4 51218.9 85946.0 86533.7 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
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 80 120 160 200 109.99 191.10 185.91 177.29
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: 40.87 / Avg: 462.3 / Max: 653.34 Min: 41.43 / Avg: 488.1 / Max: 682.33
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 +/- 741.13, N = 4 SE +/- 677.82, N = 5 74803.6 63182.2 100754.3 142082.7 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: Wownero - Hash Count: 1M EPYC 9754 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 70 140 210 280 350 279.93 235.83 225.36 323.17
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: 41.49 / Avg: 447.09 / Max: 663.47 Min: 43.21 / Avg: 439.66 / Max: 708.61
Phoronix Test Suite v10.8.5