AMD EPYC Zen Benchmarks for a future article. AMD EPYC 8534PN 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2401092-NE-AMDEPYCZE04 .
AMD EPYC Zen Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads) TYAN B8026T70AE24HR (V1.02.B10 BIOS) AMD 17h 128GB 280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8 llvmpipe VE228 2 x Broadcom NetXtreme BCM5720 PCIe Ubuntu 23.10 6.6.9-060609-generic (x86_64) GNOME Shell 45.0 X Server 1.21.1.7 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits) GCC 13.2.0 ext4 1920x1080 AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads) AMD Cinnabar (RCB1009C BIOS) AMD Device 14a4 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG 1000GB INTEL SSDPE2KX010T8 ASPEED 1920x1200 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,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 - Zen 1 - EPYC 7601: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e - Zen 4C - EPYC 8534PN: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212 Java Details - OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10) Python Details - Python 3.11.6 Security Details - Zen 1 - EPYC 7601: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT vulnerable + spec_rstack_overflow: Mitigation of Safe RET + 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 STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Zen 4C - EPYC 8534PN: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
AMD EPYC Zen nginx: 500 nginx: 1000 openssl: RSA4096 openssl: RSA4096 openssl: SHA256 openssl: SHA512 openssl: AES-128-GCM openssl: AES-256-GCM openssl: ChaCha20 openssl: ChaCha20-Poly1305 apache: 1000 apache-iotdb: 500 - 100 - 200 - 100 apache-iotdb: 500 - 100 - 200 - 100 apache-iotdb: 500 - 100 - 200 - 400 apache-iotdb: 500 - 100 - 200 - 400 apache-iotdb: 500 - 100 - 500 - 100 apache-iotdb: 500 - 100 - 500 - 100 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 100 apache-iotdb: 500 - 100 - 800 - 100 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 200 - 100 apache-iotdb: 800 - 100 - 200 - 100 apache-iotdb: 800 - 100 - 200 - 400 apache-iotdb: 800 - 100 - 200 - 400 apache-iotdb: 800 - 100 - 500 - 100 apache-iotdb: 800 - 100 - 500 - 100 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 100 apache-iotdb: 800 - 100 - 800 - 100 apache-iotdb: 800 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 800 - 400 duckdb: IMDB duckdb: TPC-H Parquet cassandra: Writes speedb: Rand Read speedb: Read While Writing speedb: Read Rand Write Rand speedb: Update Rand rocksdb: Rand Read rocksdb: Read While Writing rocksdb: Read Rand Write Rand rocksdb: Update Rand memtier-benchmark: Redis - 100 - 1:10 memtier-benchmark: Redis - 100 - 1:5 compress-7zip: Compression Rating compress-7zip: Decompression Rating build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-llvm: Ninja build-llvm: Unix Makefiles build-nodejs: Time To Compile build-gem5: Time To Compile build-ffmpeg: Time To Compile quantlib: Multi-Threaded specfem3d: Layered Halfspace specfem3d: Water-layered Halfspace specfem3d: Homogeneous Halfspace specfem3d: Mount St. Helens specfem3d: Tomographic Model openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time openfoam: drivaerFastback, Medium Mesh Size - Execution Time openradioss: Chrysler Neon 1M minibude: OpenMP - BM1 minibude: OpenMP - BM1 minibude: OpenMP - BM2 minibude: OpenMP - BM2 easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 gpaw: Carbon Nanotube lammps: 20k Atoms cloverleaf: clover_bm64_short cloverleaf: clover_bm16 kripke: incompact3d: input.i3d 193 Cells Per Direction incompact3d: X3D-benchmarking input.i3d namd: ATPase Simulation - 327,506 Atoms gromacs: MPI CPU - water_GMX50_bare quicksilver: CORAL2 P1 quicksilver: CORAL2 P2 quicksilver: CTS2 y-cruncher: 500M y-cruncher: 1B mt-dgemm: Sustained Floating-Point Rate mrbayes: Primate Phylogeny Analysis blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Pabellon Barcelona - CPU-Only blender: Barbershop - CPU-Only embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Crown oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only ospray-studio: 1 - 4K - 1 - Path Tracer - CPU ospray-studio: 1 - 4K - 16 - Path Tracer - CPU ospray-studio: 1 - 4K - 32 - Path Tracer - CPU ospray-studio: 3 - 4K - 1 - Path Tracer - CPU ospray-studio: 3 - 4K - 16 - Path Tracer - CPU ospray-studio: 3 - 4K - 32 - Path Tracer - CPU ospray: gravity_spheres_volume/dim_512/ao/real_time ospray: gravity_spheres_volume/dim_512/scivis/real_time ospray: gravity_spheres_volume/dim_512/pathtracer/real_time ospray: particle_volume/ao/real_time ospray: particle_volume/scivis/real_time ospray: particle_volume/pathtracer/real_time v-ray: CPU indigobench: CPU - Supercar indigobench: CPU - Bedroom ffmpeg: libx265 - Live ffmpeg: libx265 - Upload ffmpeg: libx265 - Platform ffmpeg: libx265 - Video On Demand svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 4K rav1e: 10 rav1e: 6 rav1e: 5 rav1e: 1 x265: Bosphorus 4K uvg266: Bosphorus 4K - Medium uvg266: Bosphorus 4K - Very Fast uvg266: Bosphorus 4K - Super Fast uvg266: Bosphorus 4K - Ultra Fast vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream 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: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream tensorflow: CPU - 16 - ResNet-50 pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 256 - ResNet-50 xmrig: Monero - 1M xmrig: Wownero - 1M xmrig: CryptoNight-Femto UPX2 - 1M xmrig: CryptoNight-Heavy - 1M xmrig: KawPow - 1M xmrig: GhostRider - 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 103269.83 100664.35 4510.7 293924.1 27056830400 8316184170 97645009487 89948428697 47920025967 30315490690 88038.28 38712263 46.29 38176456 166.00 53759940 85.07 52849125 294.75 58774090 127.26 59444334 421.30 46049589 39.40 45921074 147.89 56993811 82.07 57037441 318.24 58403756 129.77 60237625 488.64 199.014 245.742 152887 86867041 6145679 1436074 201555 84798204 3371876 1509184 290618 1183656.97 1142464.16 123934 134417 76.300 755.017 435.054 529.717 387.652 388.023 39.789 64481.7 78.679904384 74.950625896 38.063179250 29.951886203 30.283593040 44.44531 126.1908 231.74446 1179.2541 499.30 356.122 14.245 355.501 14.220 148.077 352.687 142.165 13.872 108.60 971.50 187375933 37.4064191 818.054118 0.97959 1.992 12996667 15013333 11426667 15.693 33.923 3.790799 201.182 73.00 192.80 101.20 247.24 767.15 21.8315 18.3613 0.48 8478 145528 280606 10050 171188 331643 2.57829 2.46692 4.14841 5.28931 5.22116 98.4413 20175 8.580 3.991 58.23 10.39 21.03 21.04 67.934 70.525 26.252 3.060 6.971 2.937 2.249 0.563 14.52 8.73 22.27 23.44 27.21 3.291 6.493 3.82 2094.21 13011.10 2.43 43.91 181.92 377.40 84.68 295.80 27.01 471.38 16.95 41.32 193.33 877.49 9.1 189.05 169.04 149.49 53.47 260.2496 61.3934 90.6624 176.4317 144.6829 110.4484 10.7545 1457.9155 70.3395 226.9518 70.5586 226.3744 10.8070 1460.7041 9.2992 1701.3747 142.7964 111.8988 155.7019 102.6582 13.2597 1200.1003 131.7605 121.2093 9.82 26.72 21.21 7044.2 10414.7 6957.2 7081.0 6937.9 1070.1 263177.49 266322.55 25217.0 889214.2 79857401783 26271960547 528178897353 460814853190 297915350493 208877254247 130116.68 51396698 35.58 50396884 133.01 86530272 52.95 86278348 191.77 104173220 71.67 103397638 254.31 67937226 27.16 67712944 106.91 99531709 47.19 91869780 195.49 73031288 101.60 70984166 394.51 125.100 178.435 251434 304542944 12947507 2577564 356602 302674440 6918267 2654286 483387 3084431.37 2901182.23 358093 406021 41.709 307.653 173.868 261.161 160.725 217.126 18.061 171336.6 30.951247 54.559168 159.57429 679.78992 297.72 2921.653 116.866 2939.356 117.574 38.884 109.847 63.045 31.007 57.38 497.09 303107200 20.8747749 562.359884 0.39175 21326667 16176667 16316667 5.099 10.233 22.953315 126.969 27.07 67.91 35.37 86.57 240.35 83.1975 67.9033 1.84 1856 36085 65725 2196 41278 76785 17.2986 16.8089 19.6434 17.0993 17.0484 166.152 60911 24.522 11.172 114.95 23.18 46.96 46.98 196.423 194.547 67.209 6.672 12.355 4.861 3.581 0.853 27.54 19.87 52.59 55.01 55.98 6.280 11.564 53.51 595.92 74625.61 0.60 218.07 146.53 5276.11 11.97 2902.57 10.90 2602.27 12.21 309.82 103.12 8840.41 7.10 1229.16 51.96 977.07 32.67 1444.9067 22.1179 322.2813 99.1066 484.7326 65.9305 36.7555 855.7340 219.9119 145.1134 221.3018 144.1447 36.9206 855.9304 64.0361 495.1442 484.8697 65.9139 3821.9241 8.3560 46.8734 674.2608 696.5146 45.8818 50.27 45.13 36.56 20716.5 39663.3 20699.5 20541.8 20720.8 4376.0 OpenBenchmarking.org
nginx Connections: 500 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 60K 120K 180K 240K 300K SE +/- 450.48, N = 3 SE +/- 1464.33, N = 3 103269.83 263177.49 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 500 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.23.2 Connections: 500 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 300 600 900 1200 1500 153.16 1570.36
nginx CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 240 674 714 Zen 4C - EPYC 8534PN 12 168 180 OpenBenchmarking.org Watts, Fewer Is Better nginx 1.23.2 CPU Power Consumption Monitor 200 400 600 800 1000
nginx Connections: 1000 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 1000 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 60K 120K 180K 240K 300K SE +/- 212.46, N = 3 SE +/- 312.48, N = 3 100664.35 266322.55 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 1000 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.23.2 Connections: 1000 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 300 600 900 1200 1500 148.96 1587.79
nginx CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 258 676 713 Zen 4C - EPYC 8534PN 14 168 180 OpenBenchmarking.org Watts, Fewer Is Better nginx 1.23.2 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 5K 10K 15K 20K 25K SE +/- 8.66, N = 3 SE +/- 24.99, N = 3 4510.7 25217.0 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 200K 400K 600K 800K 1000K SE +/- 361.69, N = 3 SE +/- 395.01, N = 3 293924.1 889214.2 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 1300 2600 3900 5200 6500 432.83 5928.92
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 679 712 Zen 4C - EPYC 8534PN 15 150 171 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA256 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20000M 40000M 60000M 80000M 100000M SE +/- 48383276.04, N = 3 SE +/- 59376757.34, N = 3 27056830400 79857401783 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA256 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 100M 200M 300M 400M 500M 38850033.87 476985790.76
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261 696 713 Zen 4C - EPYC 8534PN 14 167 179 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: SHA512 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 6000M 12000M 18000M 24000M 30000M SE +/- 6971539.66, N = 3 SE +/- 5378103.90, N = 3 8316184170 26271960547 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: SHA512 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA512 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30M 60M 90M 120M 150M 11909195.29 154779847.68
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 698 712 Zen 4C - EPYC 8534PN 14 170 178 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: AES-128-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 110000M 220000M 330000M 440000M 550000M SE +/- 101833027.65, N = 3 SE +/- 261674063.26, N = 3 97645009487 528178897353 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: AES-128-GCM OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 700M 1400M 2100M 2800M 3500M 139836719.65 3235378886.06
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 698 712 Zen 4C - EPYC 8534PN 14 163 170 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: AES-256-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 100000M 200000M 300000M 400000M 500000M SE +/- 95870018.66, N = 3 SE +/- 158535708.73, N = 3 89948428697 460814853190 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: AES-256-GCM OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 600M 1200M 1800M 2400M 3000M 128846358.68 2821056038.23
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 698 712 Zen 4C - EPYC 8534PN 14 163 170 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: ChaCha20 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 60000M 120000M 180000M 240000M 300000M SE +/- 23640894.78, N = 3 SE +/- 69144081.68, N = 3 47920025967 297915350493 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: ChaCha20 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 400M 800M 1200M 1600M 2000M 69962511.27 1780848824.50
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 265 685 711 Zen 4C - EPYC 8534PN 13 167 179 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: ChaCha20-Poly1305 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40000M 80000M 120000M 160000M 200000M SE +/- 12075597.72, N = 3 SE +/- 493572176.62, N = 3 30315490690 208877254247 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: ChaCha20-Poly1305 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 300M 600M 900M 1200M 1500M 44247682.05 1253276194.47
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 265 685 711 Zen 4C - EPYC 8534PN 14 167 178 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
Apache HTTP Server Concurrent Requests: 1000 OpenBenchmarking.org Requests Per Second, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30K 60K 90K 120K 150K SE +/- 319.15, N = 3 SE +/- 1806.36, N = 3 88038.28 130116.68 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
Apache HTTP Server Concurrent Requests: 1000 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 200 400 600 800 1000 132.65 921.15
Apache HTTP Server CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 664 709 Zen 4C - EPYC 8534PN 14 141 157 OpenBenchmarking.org Watts, Fewer Is Better Apache HTTP Server 2.4.56 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 11M 22M 33M 44M 55M SE +/- 524500.20, N = 3 SE +/- 567305.29, N = 3 38712263 51396698
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 10 20 30 40 50 SE +/- 0.62, N = 3 SE +/- 0.57, N = 3 46.29 35.58 MAX: 12751.47 MAX: 12564.03
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 259 383 699 Zen 4C - EPYC 8534PN 15 43 143 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 11M 22M 33M 44M 55M SE +/- 325879.11, N = 8 SE +/- 524236.55, N = 3 38176456 50396884
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 1.86, N = 8 SE +/- 1.34, N = 3 166.00 133.01 MAX: 27445.2 MAX: 27113.93
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 259 390 699 Zen 4C - EPYC 8534PN 13 42 145 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20M 40M 60M 80M 100M SE +/- 175336.13, N = 3 SE +/- 262330.46, N = 3 53759940 86530272
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20 40 60 80 100 SE +/- 0.50, N = 3 SE +/- 0.43, N = 3 85.07 52.95 MAX: 11426.59 MAX: 10080.74
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 251 458 697 Zen 4C - EPYC 8534PN 9 58 146 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20M 40M 60M 80M 100M SE +/- 507374.51, N = 3 SE +/- 286751.08, N = 3 52849125 86278348
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 60 120 180 240 300 SE +/- 3.57, N = 3 SE +/- 0.93, N = 3 294.75 191.77 MAX: 29204.63 MAX: 26841.55
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 253 452 694 Zen 4C - EPYC 8534PN 13 59 143 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20M 40M 60M 80M 100M SE +/- 85534.45, N = 3 SE +/- 102156.43, N = 3 58774090 104173220
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 SE +/- 0.22, N = 3 SE +/- 0.06, N = 3 127.26 71.67 MAX: 10220.3 MAX: 10076.95
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 252 497 735 Zen 4C - EPYC 8534PN 13 70 149 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20M 40M 60M 80M 100M SE +/- 470631.65, N = 3 SE +/- 417895.46, N = 3 59444334 103397638
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 90 180 270 360 450 SE +/- 5.76, N = 3 SE +/- 2.13, N = 3 421.30 254.31 MAX: 27834.33 MAX: 27111.61
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 253 496 697 Zen 4C - EPYC 8534PN 13 71 151 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 15M 30M 45M 60M 75M SE +/- 405601.66, N = 3 SE +/- 89839.93, N = 3 46049589 67937226
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 9 18 27 36 45 SE +/- 0.33, N = 3 SE +/- 0.16, N = 3 39.40 27.16 MAX: 23930.49 MAX: 23871.38
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 252 418 700 Zen 4C - EPYC 8534PN 13 47 145 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 15M 30M 45M 60M 75M SE +/- 330018.02, N = 3 SE +/- 292969.25, N = 3 45921074 67712944
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 SE +/- 1.86, N = 3 SE +/- 0.31, N = 3 147.89 106.91 MAX: 27830.18 MAX: 26717.27
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 252 418 695 Zen 4C - EPYC 8534PN 13 50 146 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20M 40M 60M 80M 100M SE +/- 197187.95, N = 3 SE +/- 349666.50, N = 3 56993811 99531709
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.08, N = 3 82.07 47.19 MAX: 23993.13 MAX: 23867.11
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 252 498 718 Zen 4C - EPYC 8534PN 13 69 148 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20M 40M 60M 80M 100M SE +/- 596691.26, N = 5 SE +/- 1905882.84, N = 12 57037441 91869780
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 70 140 210 280 350 SE +/- 4.76, N = 5 SE +/- 4.45, N = 12 318.24 195.49 MAX: 28518.21 MAX: 28108.09
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 252 501 692 Zen 4C - EPYC 8534PN 13 72 148 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 16M 32M 48M 64M 80M SE +/- 295389.20, N = 3 SE +/- 1143156.28, N = 12 58403756 73031288
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 SE +/- 0.61, N = 3 SE +/- 1.78, N = 12 129.77 101.60 MAX: 23980.17 MAX: 30258.71
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 252 535 699 Zen 4C - EPYC 8534PN 12 76 147 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 15M 30M 45M 60M 75M SE +/- 138623.83, N = 3 SE +/- 878468.51, N = 3 60237625 70984166
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 110 220 330 440 550 SE +/- 3.72, N = 3 SE +/- 8.85, N = 3 488.64 394.51 MAX: 28615.16 MAX: 32858.26
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 254 530 790 Zen 4C - EPYC 8534PN 14 76 146 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
DuckDB Benchmark: IMDB OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 0.9.1 Benchmark: IMDB Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 0.56, N = 3 SE +/- 0.24, N = 3 199.01 125.10 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
DuckDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 211.1 418.3 590.5 Zen 4C - EPYC 8534PN 13.1 64.1 104.1 OpenBenchmarking.org Watts, Fewer Is Better DuckDB 0.9.1 CPU Power Consumption Monitor 160 320 480 640 800
DuckDB Benchmark: TPC-H Parquet OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 0.9.1 Benchmark: TPC-H Parquet Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 50 100 150 200 250 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 245.74 178.44 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
DuckDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262.0 320.9 559.4 Zen 4C - EPYC 8534PN 12.9 53.0 90.9 OpenBenchmarking.org Watts, Fewer Is Better DuckDB 0.9.1 CPU Power Consumption Monitor 140 280 420 560 700
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 50K 100K 150K 200K 250K SE +/- 702.01, N = 3 SE +/- 417.51, N = 3 152887 251434
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s Per Watt, More Is Better Apache Cassandra 4.1.3 Test: Writes Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 500 1000 1500 2000 2500 258.46 2453.41
Apache Cassandra CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 259 592 701 Zen 4C - EPYC 8534PN 13 102 131 OpenBenchmarking.org Watts, Fewer Is Better Apache Cassandra 4.1.3 CPU Power Consumption Monitor 200 400 600 800 1000
Speedb Test: Random Read OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Random Read Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 70M 140M 210M 280M 350M SE +/- 795244.11, N = 3 SE +/- 908871.00, N = 3 86867041 304542944 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Random Read OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Random Read Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 400K 800K 1200K 1600K 2000K 128090.20 1947735.76
Speedb CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 259 678 714 Zen 4C - EPYC 8534PN 14 156 169 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 200 400 600 800 1000
Speedb Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read While Writing Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 3M 6M 9M 12M 15M SE +/- 67628.42, N = 3 SE +/- 104743.64, N = 15 6145679 12947507 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Read While Writing OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Read While Writing Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20K 40K 60K 80K 100K 9060.48 81136.79
Speedb CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 260 678 716 Zen 4C - EPYC 8534PN 13 160 180 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 200 400 600 800 1000
Speedb Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read Random Write Random Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 600K 1200K 1800K 2400K 3000K SE +/- 1989.50, N = 3 SE +/- 17447.09, N = 3 1436074 2577564 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Read Random Write Random OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Read Random Write Random Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4K 8K 12K 16K 20K 2268.93 16894.41
Speedb CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 633 710 Zen 4C - EPYC 8534PN 15 153 173 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 200 400 600 800 1000
Speedb Test: Update Random OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Update Random Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 80K 160K 240K 320K 400K SE +/- 239.59, N = 3 SE +/- 832.97, N = 3 201555 356602 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Update Random OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Update Random Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 700 1400 2100 2800 3500 396.18 3398.27
Speedb CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261.5 508.7 579.5 Zen 4C - EPYC 8534PN 14.4 104.9 121.7 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 160 320 480 640 800
RocksDB Test: Random Read OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Random Read Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 60M 120M 180M 240M 300M SE +/- 416491.60, N = 3 SE +/- 1581555.58, N = 3 84798204 302674440 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Random Read OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Random Read Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 400K 800K 1200K 1600K 2000K 125079.64 1925962.53
RocksDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 259 678 714 Zen 4C - EPYC 8534PN 15 157 169 OpenBenchmarking.org Watts, Fewer Is Better RocksDB 8.0 CPU Power Consumption Monitor 200 400 600 800 1000
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Read While Writing Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 1.5M 3M 4.5M 6M 7.5M SE +/- 34108.45, N = 3 SE +/- 125140.33, N = 12 3371876 6918267 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Read While Writing Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 9K 18K 27K 36K 45K 4962.32 42709.95
RocksDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 679 712 Zen 4C - EPYC 8534PN 15 162 179 OpenBenchmarking.org Watts, Fewer Is Better RocksDB 8.0 CPU Power Consumption Monitor 200 400 600 800 1000
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Read Random Write Random Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 600K 1200K 1800K 2400K 3000K SE +/- 4649.81, N = 3 SE +/- 22479.06, N = 15 1509184 2654286 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Read Random Write Random Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4K 8K 12K 16K 20K 2244.55 16345.97
RocksDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 268 672 711 Zen 4C - EPYC 8534PN 14 162 177 OpenBenchmarking.org Watts, Fewer Is Better RocksDB 8.0 CPU Power Consumption Monitor 200 400 600 800 1000
RocksDB Test: Update Random OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Update Random Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 100K 200K 300K 400K 500K SE +/- 737.50, N = 3 SE +/- 566.63, N = 3 290618 483387 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Update Random OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Update Random Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 800 1600 2400 3200 4000 502.97 3799.25
RocksDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 578 641 Zen 4C - EPYC 8534PN 15 127 140 OpenBenchmarking.org Watts, Fewer Is Better RocksDB 8.0 CPU Power Consumption Monitor 200 400 600 800 1000
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 700K 1400K 2100K 2800K 3500K SE +/- 1850.76, N = 3 SE +/- 25227.98, N = 9 1183656.97 3084431.37 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 OpenBenchmarking.org Ops/sec Per Watt, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 5K 10K 15K 20K 25K 1836.86 23505.65
Redis 7.0.12 + memtier_benchmark CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 260 644 714 Zen 4C - EPYC 8534PN 14 131 153 OpenBenchmarking.org Watts, Fewer Is Better Redis 7.0.12 + memtier_benchmark 2.0 CPU Power Consumption Monitor 200 400 600 800 1000
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 600K 1200K 1800K 2400K 3000K SE +/- 8571.80, N = 11 SE +/- 25230.96, N = 3 1142464.16 2901182.23 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 OpenBenchmarking.org Ops/sec Per Watt, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 5K 10K 15K 20K 25K 1771.45 22203.36
Redis 7.0.12 + memtier_benchmark CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 266 645 715 Zen 4C - EPYC 8534PN 14 131 153 OpenBenchmarking.org Watts, Fewer Is Better Redis 7.0.12 + memtier_benchmark 2.0 CPU Power Consumption Monitor 200 400 600 800 1000
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 80K 160K 240K 320K 400K SE +/- 1034.27, N = 3 SE +/- 548.98, N = 3 123934 358093 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 90K 180K 270K 360K 450K SE +/- 1450.84, N = 3 SE +/- 942.48, N = 3 134417 406021 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 600 1200 1800 2400 3000 214.29 2960.25
7-Zip Compression CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 627 714 Zen 4C - EPYC 8534PN 13 137 180 OpenBenchmarking.org Watts, Fewer Is Better 7-Zip Compression 22.01 CPU Power Consumption Monitor 200 400 600 800 1000
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20 40 60 80 100 SE +/- 0.88, N = 3 SE +/- 0.50, N = 4 76.30 41.71
Timed Linux Kernel Compilation CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 257 528 717 Zen 4C - EPYC 8534PN 14 95 176 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 6.1 CPU Power Consumption Monitor 200 400 600 800 1000
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 160 320 480 640 800 SE +/- 0.57, N = 3 SE +/- 0.63, N = 3 755.02 307.65
Timed Linux Kernel Compilation CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 6.1 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 130 260 390 520 650 Min: 254.27 / Avg: 676.95 / Max: 718.77 Min: 13.8 / Avg: 150.86 / Max: 177.47
Timed LLVM Compilation Build System: Ninja OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Ninja Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 90 180 270 360 450 SE +/- 1.49, N = 3 SE +/- 0.09, N = 3 435.05 173.87
Timed LLVM Compilation CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 130 260 390 520 650 Min: 257.35 / Avg: 646.98 / Max: 716.05 Min: 13.97 / Avg: 137.82 / Max: 180.02
Timed LLVM Compilation Build System: Unix Makefiles OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Unix Makefiles Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 110 220 330 440 550 SE +/- 1.95, N = 3 SE +/- 0.55, N = 3 529.72 261.16
Timed LLVM Compilation CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 130 260 390 520 650 Min: 254.39 / Avg: 594.06 / Max: 717.76 Min: 13.35 / Avg: 112.54 / Max: 180.07
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 19.8.1 Time To Compile Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 80 160 240 320 400 SE +/- 0.64, N = 3 SE +/- 0.12, N = 3 387.65 160.73
Timed Node.js Compilation CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 144 624 717 Zen 4C - EPYC 8534PN 14 128 180 OpenBenchmarking.org Watts, Fewer Is Better Timed Node.js Compilation 19.8.1 CPU Power Consumption Monitor 200 400 600 800 1000
Timed Gem5 Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 23.0.1 Time To Compile Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 80 160 240 320 400 SE +/- 4.50, N = 3 SE +/- 2.38, N = 3 388.02 217.13
Timed Gem5 Compilation CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 225 533 719 Zen 4C - EPYC 8534PN 13 94 180 OpenBenchmarking.org Watts, Fewer Is Better Timed Gem5 Compilation 23.0.1 CPU Power Consumption Monitor 200 400 600 800 1000
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 6.1 Time To Compile Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 9 18 27 36 45 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 39.79 18.06
Timed FFmpeg Compilation CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 255 526 717 Zen 4C - EPYC 8534PN 13 85 178 OpenBenchmarking.org Watts, Fewer Is Better Timed FFmpeg Compilation 6.1 CPU Power Consumption Monitor 200 400 600 800 1000
QuantLib Configuration: Multi-Threaded OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.32 Configuration: Multi-Threaded Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40K 80K 120K 160K 200K SE +/- 8.17, N = 3 SE +/- 779.11, N = 3 64481.7 171336.6 1. (CXX) g++ options: -O3 -march=native -fPIE -pie
QuantLib Configuration: Multi-Threaded OpenBenchmarking.org MFLOPS Per Watt, More Is Better QuantLib 1.32 Configuration: Multi-Threaded Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 200 400 600 800 1000 95.99 1133.59
QuantLib CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 258 672 716 Zen 4C - EPYC 8534PN 13 151 177 OpenBenchmarking.org Watts, Fewer Is Better QuantLib 1.32 CPU Power Consumption Monitor 200 400 600 800 1000
SPECFEM3D Model: Layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.98, N = 3 78.68 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 Min Avg Max Zen 1 - EPYC 7601 260 670 710 OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
SPECFEM3D Model: Water-layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Water-layered Halfspace Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.29, N = 3 74.95 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 Min Avg Max Zen 1 - EPYC 7601 264 652 704 OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
SPECFEM3D Model: Homogeneous Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Homogeneous Halfspace Zen 1 - EPYC 7601 9 18 27 36 45 SE +/- 0.31, N = 3 38.06 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 Min Avg Max Zen 1 - EPYC 7601 265 650 713 OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
SPECFEM3D Model: Mount St. Helens OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens Zen 1 - EPYC 7601 7 14 21 28 35 SE +/- 0.41, N = 3 29.95 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 Min Avg Max Zen 1 - EPYC 7601 261 637 712 OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
SPECFEM3D Model: Tomographic Model OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Tomographic Model Zen 1 - EPYC 7601 7 14 21 28 35 SE +/- 0.13, N = 3 30.28 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 Min Avg Max Zen 1 - EPYC 7601 262 636 714 OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
OpenFOAM Input: drivaerFastback, Small Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 10 20 30 40 50 44.45 30.95 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM Input: drivaerFastback, Small Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 126.19 54.56 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 657 703 Zen 4C - EPYC 8534PN 12 158 176 OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 10 CPU Power Consumption Monitor 200 400 600 800 1000
OpenFOAM Input: drivaerFastback, Medium Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 50 100 150 200 250 231.74 159.57 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM Input: drivaerFastback, Medium Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 300 600 900 1200 1500 1179.25 679.79 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 10 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 120 240 360 480 600 Min: 262.83 / Avg: 640.83 / Max: 704.84 Min: 13.48 / Avg: 155.34 / Max: 173.05
OpenRadioss Model: Chrysler Neon 1M OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 110 220 330 440 550 SE +/- 0.62, N = 3 SE +/- 0.36, N = 3 499.30 297.72
OpenRadioss CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better OpenRadioss 2023.09.15 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 120 240 360 480 600 Min: 266.19 / Avg: 628.45 / Max: 689.13 Min: 14.51 / Avg: 144.84 / Max: 161.81
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 600 1200 1800 2400 3000 SE +/- 0.94, N = 3 SE +/- 5.71, N = 6 356.12 2921.65 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 SE +/- 0.04, N = 3 SE +/- 0.23, N = 6 14.25 116.87 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.2329 0.4658 0.6987 0.9316 1.1645 0.022 1.035
miniBUDE CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 266 655 707 Zen 4C - EPYC 8534PN 15 113 173 OpenBenchmarking.org Watts, Fewer Is Better miniBUDE 20210901 CPU Power Consumption Monitor 200 400 600 800 1000
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 600 1200 1800 2400 3000 SE +/- 0.27, N = 3 SE +/- 2.46, N = 3 355.50 2939.36 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 14.22 117.57 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1667 0.3334 0.5001 0.6668 0.8335 0.021 0.741
miniBUDE CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 678 697 Zen 4C - EPYC 8534PN 14 159 175 OpenBenchmarking.org Watts, Fewer Is Better miniBUDE 20210901 CPU Power Consumption Monitor 200 400 600 800 1000
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 SE +/- 1.77, N = 4 SE +/- 0.29, N = 3 148.08 38.88 1. (CXX) g++ options: -O3 -fopenmp
easyWave CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 265.0 522.7 590.2 Zen 4C - EPYC 8534PN 13.9 89.2 104.3 OpenBenchmarking.org Watts, Fewer Is Better easyWave r34 CPU Power Consumption Monitor 160 320 480 640 800
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 80 160 240 320 400 SE +/- 6.02, N = 6 SE +/- 0.43, N = 3 352.69 109.85 1. (CXX) g++ options: -O3 -fopenmp
easyWave CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better easyWave r34 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 100 200 300 400 500 Min: 247.92 / Avg: 525.08 / Max: 591.62 Min: 13.77 / Avg: 94.5 / Max: 104.72
GPAW Input: Carbon Nanotube OpenBenchmarking.org Seconds, Fewer Is Better GPAW 23.6 Input: Carbon Nanotube Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 SE +/- 0.91, N = 3 SE +/- 0.20, N = 3 142.17 63.05 1. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
GPAW CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 258 667 715 Zen 4C - EPYC 8534PN 14 155 177 OpenBenchmarking.org Watts, Fewer Is Better GPAW 23.6 CPU Power Consumption Monitor 200 400 600 800 1000
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 13.87 31.01 1. (CXX) g++ options: -O3 -lm -ldl
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day Per Watt, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0396 0.0792 0.1188 0.1584 0.198 0.020 0.176
LAMMPS Molecular Dynamics Simulator CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 120 240 360 480 600 Min: 262.81 / Avg: 690.49 / Max: 703.09 Min: 14.4 / Avg: 176.23 / Max: 179.18
CloverLeaf Input: clover_bm64_short OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm64_short Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20 40 60 80 100 SE +/- 1.39, N = 3 SE +/- 0.02, N = 3 108.60 57.38 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
CloverLeaf CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 267 587 649 Zen 4C - EPYC 8534PN 15 119 130 OpenBenchmarking.org Watts, Fewer Is Better CloverLeaf 1.3 CPU Power Consumption Monitor 200 400 600 800 1000
CloverLeaf Input: clover_bm16 OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm16 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 200 400 600 800 1000 SE +/- 1.74, N = 3 SE +/- 0.79, N = 3 971.50 497.09 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
CloverLeaf CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better CloverLeaf 1.3 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 110 220 330 440 550 Min: 263.25 / Avg: 593.38 / Max: 633.3 Min: 14.57 / Avg: 130.07 / Max: 135.51
Kripke OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.6 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 60M 120M 180M 240M 300M SE +/- 1601742.67, N = 3 SE +/- 668520.88, N = 3 187375933 303107200 1. (CXX) g++ options: -O3 -fopenmp -ldl
Kripke OpenBenchmarking.org Throughput FoM Per Watt, More Is Better Kripke 1.2.6 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 500K 1000K 1500K 2000K 2500K 291422.10 2221434.65
Kripke CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 643 709 Zen 4C - EPYC 8534PN 15 136 175 OpenBenchmarking.org Watts, Fewer Is Better Kripke 1.2.6 CPU Power Consumption Monitor 200 400 600 800 1000
Xcompact3d Incompact3d Input: input.i3d 193 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 9 18 27 36 45 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 37.41 20.87 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Xcompact3d Incompact3d CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 578 640 Zen 4C - EPYC 8534PN 14 119 152 OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor 200 400 600 800 1000
Xcompact3d Incompact3d Input: X3D-benchmarking input.i3d OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 200 400 600 800 1000 SE +/- 0.24, N = 3 SE +/- 1.66, N = 3 818.05 562.36 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Xcompact3d Incompact3d CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 120 240 360 480 600 Min: 264.43 / Avg: 601.98 / Max: 679.05 Min: 14.17 / Avg: 133.33 / Max: 149.74
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.2204 0.4408 0.6612 0.8816 1.102 SE +/- 0.00385, N = 3 SE +/- 0.00016, N = 3 0.97959 0.39175
NAMD CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 265 665 714 Zen 4C - EPYC 8534PN 15 145 168 OpenBenchmarking.org Watts, Fewer Is Better NAMD 2.14 CPU Power Consumption Monitor 200 400 600 800 1000
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare Zen 1 - EPYC 7601 0.4482 0.8964 1.3446 1.7928 2.241 SE +/- 0.017, N = 3 1.992 1. (CXX) g++ options: -O3
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day Per Watt, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare Zen 1 - EPYC 7601 0.0007 0.0014 0.0021 0.0028 0.0035 0.003
GROMACS CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 670 709 OpenBenchmarking.org Watts, Fewer Is Better GROMACS 2023 CPU Power Consumption Monitor 200 400 600 800 1000
Quicksilver Input: CORAL2 P1 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CORAL2 P1 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 5M 10M 15M 20M 25M SE +/- 66916.20, N = 3 SE +/- 46666.67, N = 3 12996667 21326667 1. (CXX) g++ options: -fopenmp -O3 -march=native
Quicksilver Input: CORAL2 P1 OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Quicksilver 20230818 Input: CORAL2 P1 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40K 80K 120K 160K 200K 22248.55 201814.40
Quicksilver CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 243 584 648 Zen 4C - EPYC 8534PN 13 106 117 OpenBenchmarking.org Watts, Fewer Is Better Quicksilver 20230818 CPU Power Consumption Monitor 200 400 600 800 1000
Quicksilver Input: CORAL2 P2 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CORAL2 P2 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 3M 6M 9M 12M 15M SE +/- 37118.43, N = 3 SE +/- 14529.66, N = 3 15013333 16176667 1. (CXX) g++ options: -fopenmp -O3 -march=native
Quicksilver Input: CORAL2 P2 OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Quicksilver 20230818 Input: CORAL2 P2 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40K 80K 120K 160K 200K 27116.87 175615.65
Quicksilver CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 255.2 553.7 594.9 Zen 4C - EPYC 8534PN 13.6 92.1 94.5 OpenBenchmarking.org Watts, Fewer Is Better Quicksilver 20230818 CPU Power Consumption Monitor 160 320 480 640 800
Quicksilver Input: CTS2 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CTS2 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 3M 6M 9M 12M 15M SE +/- 16666.67, N = 3 SE +/- 6666.67, N = 3 11426667 16316667 1. (CXX) g++ options: -fopenmp -O3 -march=native
Quicksilver Input: CTS2 OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Quicksilver 20230818 Input: CTS2 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30K 60K 90K 120K 150K 18307.66 143547.53
Quicksilver CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Quicksilver 20230818 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 120 240 360 480 600 Min: 258.88 / Avg: 624.15 / Max: 662.04 Min: 13.53 / Avg: 113.67 / Max: 117.3
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4 8 12 16 20 SE +/- 0.118, N = 3 SE +/- 0.006, N = 5 15.693 5.099
Y-Cruncher CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 543 712 Zen 4C - EPYC 8534PN 14 76 156 OpenBenchmarking.org Watts, Fewer Is Better Y-Cruncher 0.8.3 CPU Power Consumption Monitor 200 400 600 800 1000
Y-Cruncher Pi Digits To Calculate: 1B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 8 16 24 32 40 SE +/- 0.09, N = 3 SE +/- 0.01, N = 4 33.92 10.23
Y-Cruncher CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 602 718 Zen 4C - EPYC 8534PN 13 96 170 OpenBenchmarking.org Watts, Fewer Is Better Y-Cruncher 0.8.3 CPU Power Consumption Monitor 200 400 600 800 1000
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 5 10 15 20 25 SE +/- 0.057778, N = 15 SE +/- 0.145648, N = 5 3.790799 22.953315 1. (CC) gcc options: -O3 -march=native -fopenmp
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0459 0.0918 0.1377 0.1836 0.2295 0.006 0.204
ACES DGEMM CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 618 679 Zen 4C - EPYC 8534PN 12 113 175 OpenBenchmarking.org Watts, Fewer Is Better ACES DGEMM 1.0 CPU Power Consumption Monitor 200 400 600 800 1000
Timed MrBayes Analysis Primate Phylogeny Analysis OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 4.88, N = 12 SE +/- 0.47, N = 3 201.18 126.97 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline
Timed MrBayes Analysis CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed MrBayes Analysis 3.2.7 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 130 260 390 520 650 Min: 255.46 / Avg: 673.45 / Max: 711.35 Min: 13.87 / Avg: 158.85 / Max: 169.15
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: CPU-Only Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 16 32 48 64 80 SE +/- 0.35, N = 3 SE +/- 0.12, N = 3 73.00 27.07
Blender CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261 677 715 Zen 4C - EPYC 8534PN 14 136 169 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Classroom - Compute: CPU-Only Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 1.40, N = 3 SE +/- 0.09, N = 3 192.80 67.91
Blender CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 696 717 Zen 4C - EPYC 8534PN 15 150 169 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20 40 60 80 100 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 101.20 35.37
Blender CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 265 681 714 Zen 4C - EPYC 8534PN 15 147 171 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 50 100 150 200 250 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 247.24 86.57
Blender CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 698 715 Zen 4C - EPYC 8534PN 15 152 171 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Barbershop - Compute: CPU-Only Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 170 340 510 680 850 SE +/- 0.52, N = 3 SE +/- 0.15, N = 3 767.15 240.35
Blender CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 130 260 390 520 650 Min: 263.91 / Avg: 701.51 / Max: 715.33 Min: 14.68 / Avg: 156.64 / Max: 175.71
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.04, N = 5 21.83 83.20 MIN: 21.6 / MAX: 22.16 MIN: 82.46 / MAX: 84.5
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1523 0.3046 0.4569 0.6092 0.7615 0.034 0.677
Embree CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 266 649 712 Zen 4C - EPYC 8534PN 15 123 180 OpenBenchmarking.org Watts, Fewer Is Better Embree 4.3 CPU Power Consumption Monitor 200 400 600 800 1000
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 15 30 45 60 75 SE +/- 0.09, N = 3 SE +/- 0.09, N = 5 18.36 67.90 MIN: 18.01 / MAX: 18.84 MIN: 66.05 / MAX: 70.27
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1168 0.2336 0.3504 0.4672 0.584 0.028 0.519
Embree CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 265 660 715 Zen 4C - EPYC 8534PN 14 131 178 OpenBenchmarking.org Watts, Fewer Is Better Embree 4.3 CPU Power Consumption Monitor 200 400 600 800 1000
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.414 0.828 1.242 1.656 2.07 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.48 1.84
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0034 0.0068 0.0102 0.0136 0.017 0.001 0.015
Intel Open Image Denoise CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 656 700 Zen 4C - EPYC 8534PN 14 123 153 OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 2.1 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 2K 4K 6K 8K 10K SE +/- 16.50, N = 3 SE +/- 2.08, N = 3 8478 1856
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 579 715 Zen 4C - EPYC 8534PN 14 128 164 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30K 60K 90K 120K 150K SE +/- 81.84, N = 3 SE +/- 45.84, N = 3 145528 36085
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 631 714 Zen 4C - EPYC 8534PN 14 111 163 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 60K 120K 180K 240K 300K SE +/- 353.76, N = 3 SE +/- 237.26, N = 3 280606 65725
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 664 715 Zen 4C - EPYC 8534PN 14 130 163 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 2K 4K 6K 8K 10K SE +/- 34.23, N = 3 SE +/- 3.51, N = 3 10050 2196
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 146 579 715 Zen 4C - EPYC 8534PN 14 129 165 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40K 80K 120K 160K 200K SE +/- 133.22, N = 3 SE +/- 228.15, N = 3 171188 41278
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 638 714 Zen 4C - EPYC 8534PN 14 117 164 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 70K 140K 210K 280K 350K SE +/- 188.22, N = 3 SE +/- 336.36, N = 3 331643 76785
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261 670 715 Zen 4C - EPYC 8534PN 15 134 164 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4 8 12 16 20 SE +/- 0.00282, N = 3 SE +/- 0.03849, N = 3 2.57829 17.29860
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0263 0.0526 0.0789 0.1052 0.1315 0.004 0.117
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 163 621 710 Zen 4C - EPYC 8534PN 14 148 176 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4 8 12 16 20 SE +/- 0.01722, N = 3 SE +/- 0.01858, N = 3 2.46692 16.80890
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0254 0.0508 0.0762 0.1016 0.127 0.004 0.113
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 621 710 Zen 4C - EPYC 8534PN 14 148 175 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 5 10 15 20 25 SE +/- 0.01550, N = 3 SE +/- 0.02744, N = 3 4.14841 19.64340
OSPRay Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0308 0.0616 0.0924 0.1232 0.154 0.007 0.137
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 635 708 Zen 4C - EPYC 8534PN 14 143 171 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4 8 12 16 20 SE +/- 0.01171, N = 3 SE +/- 0.01999, N = 3 5.28931 17.09930
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0234 0.0468 0.0702 0.0936 0.117 0.008 0.104
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 265 681 703 Zen 4C - EPYC 8534PN 14 164 173 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: particle_volume/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4 8 12 16 20 SE +/- 0.00822, N = 3 SE +/- 0.05559, N = 3 5.22116 17.04840
OSPRay Benchmark: particle_volume/scivis/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0281 0.0562 0.0843 0.1124 0.1405 0.008 0.125
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 623 704 Zen 4C - EPYC 8534PN 14 136 173 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: particle_volume/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 98.44 166.15
OSPRay Benchmark: particle_volume/pathtracer/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.263 0.526 0.789 1.052 1.315 0.162 1.169
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 607 699 Zen 4C - EPYC 8534PN 14 142 174 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
Chaos Group V-RAY Mode: CPU OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 5.02 Mode: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 13K 26K 39K 52K 65K SE +/- 15.72, N = 3 SE +/- 764.13, N = 3 20175 60911
Chaos Group V-RAY Mode: CPU OpenBenchmarking.org vsamples Per Watt, More Is Better Chaos Group V-RAY 5.02 Mode: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 100 200 300 400 500 34.52 463.07
Chaos Group V-RAY CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 259 584 716 Zen 4C - EPYC 8534PN 14 132 176 OpenBenchmarking.org Watts, Fewer Is Better Chaos Group V-RAY 5.02 CPU Power Consumption Monitor 200 400 600 800 1000
IndigoBench Acceleration: CPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 6 12 18 24 30 SE +/- 0.050, N = 3 SE +/- 0.040, N = 3 8.580 24.522
IndigoBench Acceleration: CPU - Scene: Supercar OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0419 0.0838 0.1257 0.1676 0.2095 0.013 0.186
IndigoBench CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 666 719 Zen 4C - EPYC 8534PN 14 132 171 OpenBenchmarking.org Watts, Fewer Is Better IndigoBench 4.4 CPU Power Consumption Monitor 200 400 600 800 1000
IndigoBench Acceleration: CPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 3 6 9 12 15 SE +/- 0.022, N = 3 SE +/- 0.005, N = 3 3.991 11.172
IndigoBench Acceleration: CPU - Scene: Bedroom OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0167 0.0334 0.0501 0.0668 0.0835 0.006 0.074
IndigoBench CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 662 717 Zen 4C - EPYC 8534PN 14 151 166 OpenBenchmarking.org Watts, Fewer Is Better IndigoBench 4.4 CPU Power Consumption Monitor 200 400 600 800 1000
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 58.23 114.95 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.4493 0.8986 1.3479 1.7972 2.2465 0.174 1.997
FFmpeg CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261.5 334.7 472.2 Zen 4C - EPYC 8534PN 13.7 57.6 78.3 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 120 240 360 480 600
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 10.39 23.18 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0902 0.1804 0.2706 0.3608 0.451 0.031 0.401
FFmpeg CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 251.3 338.9 555.2 Zen 4C - EPYC 8534PN 13.1 57.8 90.5 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 140 280 420 560 700
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 21.03 46.96 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1719 0.3438 0.5157 0.6876 0.8595 0.060 0.764
FFmpeg CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 178.8 350.2 501.8 Zen 4C - EPYC 8534PN 13.1 61.5 79.3 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 130 260 390 520 650
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 11 22 33 44 55 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 21.04 46.98 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1719 0.3438 0.5157 0.6876 0.8595 0.060 0.764
FFmpeg CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 251.1 348.9 503.6 Zen 4C - EPYC 8534PN 12.8 61.5 78.9 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 130 260 390 520 650
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 4K Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 2.72, N = 12 SE +/- 1.62, N = 9 67.93 196.42 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 4K Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.8494 1.6988 2.5482 3.3976 4.247 0.175 3.775
SVT-AV1 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 250 387 643 Zen 4C - EPYC 8534PN 13 52 123 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 200 400 600 800 1000
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 0.80, N = 15 SE +/- 1.97, N = 6 70.53 194.55 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.8532 1.7064 2.5596 3.4128 4.266 0.176 3.792
SVT-AV1 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 144 400 660 Zen 4C - EPYC 8534PN 13 51 122 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 200 400 600 800 1000
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 15 30 45 60 75 SE +/- 0.17, N = 3 SE +/- 0.10, N = 4 26.25 67.21 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.203 0.406 0.609 0.812 1.015 0.052 0.902
SVT-AV1 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 502 689 Zen 4C - EPYC 8534PN 13 74 129 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 200 400 600 800 1000
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 2 4 6 8 10 SE +/- 0.011, N = 3 SE +/- 0.041, N = 3 3.060 6.672 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0194 0.0388 0.0582 0.0776 0.097 0.006 0.086
SVT-AV1 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 254 498 687 Zen 4C - EPYC 8534PN 13 77 134 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 200 400 600 800 1000
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 10 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 3 6 9 12 15 SE +/- 0.080, N = 3 SE +/- 0.020, N = 3 6.971 12.355
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 10 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0509 0.1018 0.1527 0.2036 0.2545 0.020 0.226
rav1e CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 252.3 344.6 364.8 Zen 4C - EPYC 8534PN 12.5 54.7 59.1 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.7 CPU Power Consumption Monitor 100 200 300 400 500
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 6 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 1.0937 2.1874 3.2811 4.3748 5.4685 SE +/- 0.003, N = 3 SE +/- 0.020, N = 3 2.937 4.861
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 6 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0203 0.0406 0.0609 0.0812 0.1015 0.008 0.090
rav1e CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 258.0 367.6 413.4 Zen 4C - EPYC 8534PN 12.6 54.3 62.3 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.7 CPU Power Consumption Monitor 110 220 330 440 550
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 5 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.8057 1.6114 2.4171 3.2228 4.0285 SE +/- 0.014, N = 3 SE +/- 0.002, N = 3 2.249 3.581
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 5 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0146 0.0292 0.0438 0.0584 0.073 0.006 0.065
rav1e CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 265.3 372.5 499.9 Zen 4C - EPYC 8534PN 12.9 55.0 68.3 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.7 CPU Power Consumption Monitor 130 260 390 520 650
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 1 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1919 0.3838 0.5757 0.7676 0.9595 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.563 0.853
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 1 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0032 0.0064 0.0096 0.0128 0.016 0.001 0.014
rav1e CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 220.0 426.6 553.3 Zen 4C - EPYC 8534PN 12.8 62.3 81.6 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.7 CPU Power Consumption Monitor 140 280 420 560 700
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 6 12 18 24 30 SE +/- 0.17, N = 4 SE +/- 0.05, N = 3 14.52 27.54 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0808 0.1616 0.2424 0.3232 0.404 0.028 0.359
x265 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263.4 516.7 606.4 Zen 4C - EPYC 8534PN 13.1 76.7 98.8 OpenBenchmarking.org Watts, Fewer Is Better x265 3.4 CPU Power Consumption Monitor 160 320 480 640 800
uvg266 Video Input: Bosphorus 4K - Video Preset: Medium OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 8.73 19.87
uvg266 Video Input: Bosphorus 4K - Video Preset: Medium OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0351 0.0702 0.1053 0.1404 0.1755 0.013 0.156
uvg266 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 257 656 705 Zen 4C - EPYC 8534PN 13 127 152 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 200 400 600 800 1000
uvg266 Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 12 24 36 48 60 SE +/- 0.08, N = 3 SE +/- 0.04, N = 5 22.27 52.59
uvg266 Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1069 0.2138 0.3207 0.4276 0.5345 0.036 0.475
uvg266 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 260 613 686 Zen 4C - EPYC 8534PN 14 111 151 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 200 400 600 800 1000
uvg266 Video Input: Bosphorus 4K - Video Preset: Super Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 12 24 36 48 60 SE +/- 0.01, N = 3 SE +/- 0.07, N = 5 23.44 55.01
uvg266 Video Input: Bosphorus 4K - Video Preset: Super Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1125 0.225 0.3375 0.45 0.5625 0.038 0.500
uvg266 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 618 689 Zen 4C - EPYC 8534PN 14 110 151 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 200 400 600 800 1000
uvg266 Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 13 26 39 52 65 SE +/- 0.04, N = 3 SE +/- 0.14, N = 5 27.21 55.98
uvg266 Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1262 0.2524 0.3786 0.5048 0.631 0.046 0.561
uvg266 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 589 673 Zen 4C - EPYC 8534PN 13 100 137 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 200 400 600 800 1000
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 2 4 6 8 10 SE +/- 0.034, N = 3 SE +/- 0.008, N = 3 3.291 6.280 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0155 0.031 0.0465 0.062 0.0775 0.006 0.069
VVenC CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 159 513 706 Zen 4C - EPYC 8534PN 13 91 137 OpenBenchmarking.org Watts, Fewer Is Better VVenC 1.9 CPU Power Consumption Monitor 200 400 600 800 1000
VVenC Video Input: Bosphorus 4K - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 3 6 9 12 15 SE +/- 0.018, N = 3 SE +/- 0.020, N = 3 6.493 11.564 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
VVenC Video Input: Bosphorus 4K - Video Preset: Faster OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.0295 0.059 0.0885 0.118 0.1475 0.013 0.131
VVenC CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261 519 649 Zen 4C - EPYC 8534PN 14 88 122 OpenBenchmarking.org Watts, Fewer Is Better VVenC 1.9 CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 12 24 36 48 60 SE +/- 0.00, N = 3 SE +/- 0.20, N = 3 3.82 53.51 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 400 800 1200 1600 2000 SE +/- 0.06, N = 3 SE +/- 2.44, N = 3 2094.21 595.92 MIN: 2092.79 / MAX: 2112.41 MIN: 511.76 / MAX: 618.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 257 592 660 Zen 4C - EPYC 8534PN 14 148 164 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 16K 32K 48K 64K 80K SE +/- 3.60, N = 3 SE +/- 275.21, N = 3 13011.10 74625.61 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.5468 1.0936 1.6404 2.1872 2.734 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.43 0.60 MIN: 2.39 / MAX: 10.02 MIN: 0.27 / MAX: 24.87 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 259 630 678 Zen 4C - EPYC 8534PN 14 140 152 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 50 100 150 200 250 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 43.91 218.07 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 0.36, N = 3 SE +/- 0.14, N = 3 181.92 146.53 MIN: 171.42 / MAX: 202.33 MIN: 71.86 / MAX: 230.85 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 260 668 708 Zen 4C - EPYC 8534PN 15 150 168 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 1100 2200 3300 4400 5500 SE +/- 0.02, N = 3 SE +/- 6.62, N = 3 377.40 5276.11 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20 40 60 80 100 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 84.68 11.97 MIN: 84.05 / MAX: 93.44 MIN: 6.19 / MAX: 26.19 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 601 630 Zen 4C - EPYC 8534PN 15 153 164 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 600 1200 1800 2400 3000 SE +/- 0.35, N = 3 SE +/- 5.14, N = 3 295.80 2902.57 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 27.01 10.90 MIN: 26.86 / MAX: 38.57 MIN: 5.86 / MAX: 22.42 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261 616 662 Zen 4C - EPYC 8534PN 14 147 159 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 600 1200 1800 2400 3000 SE +/- 1.63, N = 3 SE +/- 1.69, N = 3 471.38 2602.27 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 16.95 12.21 MIN: 16.19 / MAX: 27.98 MIN: 7.44 / MAX: 23.58 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 260 660 708 Zen 4C - EPYC 8534PN 15 139 153 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 70 140 210 280 350 SE +/- 0.10, N = 3 SE +/- 0.68, N = 3 41.32 309.82 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 0.49, N = 3 SE +/- 0.21, N = 3 193.33 103.12 MIN: 178.13 / MAX: 252.21 MIN: 51.8 / MAX: 150.84 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261 665 708 Zen 4C - EPYC 8534PN 14 152 170 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 2K 4K 6K 8K 10K SE +/- 0.26, N = 3 SE +/- 14.71, N = 3 877.49 8840.41 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 9.10 7.10 MIN: 9.04 / MAX: 17.25 MIN: 4.1 / MAX: 18.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 604 653 Zen 4C - EPYC 8534PN 14 149 161 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 300 600 900 1200 1500 SE +/- 0.70, N = 3 SE +/- 0.72, N = 3 189.05 1229.16 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 0.65, N = 3 SE +/- 0.03, N = 3 169.04 51.96 MIN: 141.74 / MAX: 192.16 MIN: 33.44 / MAX: 81.12 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 260 670 709 Zen 4C - EPYC 8534PN 15 163 176 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 200 400 600 800 1000 SE +/- 0.14, N = 3 SE +/- 2.89, N = 3 149.49 977.07 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 12 24 36 48 60 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 53.47 32.67 MIN: 52.68 / MAX: 66.73 MIN: 17.88 / MAX: 49.59 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 614 672 Zen 4C - EPYC 8534PN 15 144 157 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 300 600 900 1200 1500 SE +/- 1.56, N = 3 SE +/- 0.50, N = 3 260.25 1444.91
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 14 28 42 56 70 SE +/- 0.36, N = 3 SE +/- 0.01, N = 3 61.39 22.12
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 260 558 711 Zen 4C - EPYC 8534PN 14 117 155 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 70 140 210 280 350 SE +/- 0.85, N = 6 SE +/- 0.25, N = 3 90.66 322.28
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 40 80 120 160 200 SE +/- 1.64, N = 6 SE +/- 0.07, N = 3 176.43 99.11
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261 604 711 Zen 4C - EPYC 8534PN 14 132 162 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 100 200 300 400 500 SE +/- 0.49, N = 3 SE +/- 0.29, N = 3 144.68 484.73
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20 40 60 80 100 SE +/- 0.40, N = 3 SE +/- 0.04, N = 3 110.45 65.93
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 260 637 710 Zen 4C - EPYC 8534PN 14 134 157 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 10.75 36.76
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 300 600 900 1200 1500 SE +/- 5.55, N = 3 SE +/- 0.50, N = 3 1457.92 855.73
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262 572 712 Zen 4C - EPYC 8534PN 14 133 176 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 50 100 150 200 250 SE +/- 0.21, N = 3 SE +/- 0.36, N = 3 70.34 219.91
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 50 100 150 200 250 SE +/- 0.66, N = 3 SE +/- 0.24, N = 3 226.95 145.11
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 260 632 709 Zen 4C - EPYC 8534PN 14 145 170 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 50 100 150 200 250 SE +/- 0.11, N = 3 SE +/- 0.29, N = 3 70.56 221.30
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 50 100 150 200 250 SE +/- 0.35, N = 3 SE +/- 0.20, N = 3 226.37 144.14
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 635 709 Zen 4C - EPYC 8534PN 14 144 169 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 10.81 36.92
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 300 600 900 1200 1500 SE +/- 2.60, N = 3 SE +/- 0.81, N = 3 1460.70 855.93
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261 572 712 Zen 4C - EPYC 8534PN 14 133 175 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 14 28 42 56 70 SE +/- 0.0191, N = 3 SE +/- 0.1281, N = 3 9.2992 64.0361
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 400 800 1200 1600 2000 SE +/- 3.29, N = 3 SE +/- 1.38, N = 3 1701.37 495.14
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 582 695 Zen 4C - EPYC 8534PN 14 135 164 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 100 200 300 400 500 SE +/- 1.66, N = 3 SE +/- 0.12, N = 3 142.80 484.87
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 SE +/- 1.29, N = 3 SE +/- 0.01, N = 3 111.90 65.91
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 800 1600 2400 3200 4000 SE +/- 0.49, N = 3 SE +/- 7.35, N = 3 155.70 3821.92
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 20 40 60 80 100 SE +/- 0.3037, N = 3 SE +/- 0.0152, N = 3 102.6582 8.3560
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 259 630 707 Zen 4C - EPYC 8534PN 14 127 148 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 11 22 33 44 55 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 13.26 46.87
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 300 600 900 1200 1500 SE +/- 3.61, N = 3 SE +/- 0.35, N = 3 1200.10 674.26
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 268 452 713 Zen 4C - EPYC 8534PN 14 98 173 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 150 300 450 600 750 SE +/- 1.27, N = 3 SE +/- 1.12, N = 3 131.76 696.51
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 SE +/- 1.16, N = 3 SE +/- 0.07, N = 3 121.21 45.88
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 265 568 712 Zen 4C - EPYC 8534PN 14 120 157 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 9.82 50.27
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec Per Watt, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1343 0.2686 0.4029 0.5372 0.6715 0.019 0.597
TensorFlow CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 262.6 524.0 574.5 Zen 4C - EPYC 8534PN 13.6 84.2 118.3 OpenBenchmarking.org Watts, Fewer Is Better TensorFlow 2.12 CPU Power Consumption Monitor 140 280 420 560 700
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 10 20 30 40 50 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 26.72 45.13 MIN: 15.15 / MAX: 28.15 MIN: 43.52 / MAX: 46.26
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.1546 0.3092 0.4638 0.6184 0.773 0.043 0.687
PyTorch CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 263 620 701 Zen 4C - EPYC 8534PN 13 66 99 OpenBenchmarking.org Watts, Fewer Is Better PyTorch 2.1 CPU Power Consumption Monitor 200 400 600 800 1000
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 8 16 24 32 40 SE +/- 0.22, N = 3 SE +/- 0.11, N = 3 21.21 36.56 MIN: 13.9 / MAX: 22.04 MIN: 35.25 / MAX: 37.29
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 0.088 0.176 0.264 0.352 0.44 0.032 0.391
PyTorch CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 261 653 699 Zen 4C - EPYC 8534PN 13 93 106 OpenBenchmarking.org Watts, Fewer Is Better PyTorch 2.1 CPU Power Consumption Monitor 200 400 600 800 1000
Xmrig Variant: Monero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4K 8K 12K 16K 20K SE +/- 58.63, N = 3 SE +/- 8.43, N = 3 7044.2 20716.5 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 OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 10.86 140.28
Xmrig CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 649 683 Zen 4C - EPYC 8534PN 14 148 165 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 200 400 600 800 1000
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: Wownero - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 8K 16K 24K 32K 40K SE +/- 27.32, N = 3 SE +/- 114.17, N = 3 10414.7 39663.3 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 OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Wownero - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 60 120 180 240 300 15.73 259.25
Xmrig CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 264 662 706 Zen 4C - EPYC 8534PN 15 153 180 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 200 400 600 800 1000
Xmrig Variant: CryptoNight-Femto UPX2 - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4K 8K 12K 16K 20K SE +/- 75.94, N = 12 SE +/- 7.38, N = 3 6957.2 20699.5 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: CryptoNight-Femto UPX2 - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 10.81 136.92
Xmrig CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 120 240 360 480 600 Min: 227.27 / Avg: 643.82 / Max: 681.92 Min: 14.85 / Avg: 151.18 / Max: 167.35
Xmrig Variant: CryptoNight-Heavy - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4K 8K 12K 16K 20K SE +/- 21.41, N = 3 SE +/- 174.63, N = 3 7081.0 20541.8 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: CryptoNight-Heavy - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 10.98 135.43
Xmrig CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 266 645 679 Zen 4C - EPYC 8534PN 15 152 168 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 200 400 600 800 1000
Xmrig Variant: KawPow - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 4K 8K 12K 16K 20K SE +/- 60.77, N = 12 SE +/- 3.75, N = 3 6937.9 20720.8 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: KawPow - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 30 60 90 120 150 10.77 135.71
Xmrig CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 120 240 360 480 600 Min: 266.23 / Avg: 644.06 / Max: 679.56 Min: 14.84 / Avg: 152.68 / Max: 167.62
Xmrig Variant: GhostRider - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 900 1800 2700 3600 4500 SE +/- 6.67, N = 3 SE +/- 5.88, N = 3 1070.1 4376.0 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: GhostRider - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 8 16 24 32 40 1.914 35.252
Xmrig CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 100 200 300 400 500 Min: 265.39 / Avg: 559.12 / Max: 586.02 Min: 14.85 / Avg: 124.14 / Max: 127.72
Meta Performance Per Watts Performance Per Watts OpenBenchmarking.org Performance Per Watts, More Is Better Meta Performance Per Watts Performance Per Watts Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 500 1000 1500 2000 2500 2562.10 180.52
CPU Power Consumption Monitor Phoronix Test Suite System Monitoring OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring Zen 1 - EPYC 7601 Zen 4C - EPYC 8534PN 140 280 420 560 700 Min: 134.19 / Avg: 579.81 / Max: 789.58 Min: 7.2 / Avg: 112.32 / Max: 180
Phoronix Test Suite v10.8.4