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&sor .
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 60K 120K 180K 240K 300K SE +/- 1464.33, N = 3 SE +/- 450.48, N = 3 263177.49 103269.83 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 1570.36 153.16
nginx CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 12 168 180 Zen 1 - EPYC 7601 240 674 714 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 60K 120K 180K 240K 300K SE +/- 312.48, N = 3 SE +/- 212.46, N = 3 266322.55 100664.35 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 1587.79 148.96
nginx CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 168 180 Zen 1 - EPYC 7601 258 676 713 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 5K 10K 15K 20K 25K SE +/- 24.99, N = 3 SE +/- 8.66, N = 3 25217.0 4510.7 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 200K 400K 600K 800K 1000K SE +/- 395.01, N = 3 SE +/- 361.69, N = 3 889214.2 293924.1 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 1300 2600 3900 5200 6500 5928.92 432.83
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 150 171 Zen 1 - EPYC 7601 262 679 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20000M 40000M 60000M 80000M 100000M SE +/- 59376757.34, N = 3 SE +/- 48383276.04, N = 3 79857401783 27056830400 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 100M 200M 300M 400M 500M 476985790.76 38850033.87
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 167 179 Zen 1 - EPYC 7601 261 696 713 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 6000M 12000M 18000M 24000M 30000M SE +/- 5378103.90, N = 3 SE +/- 6971539.66, N = 3 26271960547 8316184170 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30M 60M 90M 120M 150M 154779847.68 11909195.29
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 170 178 Zen 1 - EPYC 7601 264 698 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 110000M 220000M 330000M 440000M 550000M SE +/- 261674063.26, N = 3 SE +/- 101833027.65, N = 3 528178897353 97645009487 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 700M 1400M 2100M 2800M 3500M 3235378886.06 139836719.65
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 163 170 Zen 1 - EPYC 7601 264 698 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 100000M 200000M 300000M 400000M 500000M SE +/- 158535708.73, N = 3 SE +/- 95870018.66, N = 3 460814853190 89948428697 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 600M 1200M 1800M 2400M 3000M 2821056038.23 128846358.68
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 163 170 Zen 1 - EPYC 7601 264 698 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 60000M 120000M 180000M 240000M 300000M SE +/- 69144081.68, N = 3 SE +/- 23640894.78, N = 3 297915350493 47920025967 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 400M 800M 1200M 1600M 2000M 1780848824.50 69962511.27
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 167 179 Zen 1 - EPYC 7601 265 685 711 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40000M 80000M 120000M 160000M 200000M SE +/- 493572176.62, N = 3 SE +/- 12075597.72, N = 3 208877254247 30315490690 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 300M 600M 900M 1200M 1500M 1253276194.47 44247682.05
OpenSSL CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 167 178 Zen 1 - EPYC 7601 265 685 711 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30K 60K 90K 120K 150K SE +/- 1806.36, N = 3 SE +/- 319.15, N = 3 130116.68 88038.28 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 200 400 600 800 1000 921.15 132.65
Apache HTTP Server CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 141 157 Zen 1 - EPYC 7601 263 664 709 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 11M 22M 33M 44M 55M SE +/- 567305.29, N = 3 SE +/- 524500.20, N = 3 51396698 38712263
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 10 20 30 40 50 SE +/- 0.57, N = 3 SE +/- 0.62, N = 3 35.58 46.29 MAX: 12564.03 MAX: 12751.47
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 43 143 Zen 1 - EPYC 7601 259 383 699 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 11M 22M 33M 44M 55M SE +/- 524236.55, N = 3 SE +/- 325879.11, N = 8 50396884 38176456
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 1.34, N = 3 SE +/- 1.86, N = 8 133.01 166.00 MAX: 27113.93 MAX: 27445.2
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 42 145 Zen 1 - EPYC 7601 259 390 699 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 262330.46, N = 3 SE +/- 175336.13, N = 3 86530272 53759940
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.43, N = 3 SE +/- 0.50, N = 3 52.95 85.07 MAX: 10080.74 MAX: 11426.59
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 9 58 146 Zen 1 - EPYC 7601 251 458 697 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 286751.08, N = 3 SE +/- 507374.51, N = 3 86278348 52849125
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 60 120 180 240 300 SE +/- 0.93, N = 3 SE +/- 3.57, N = 3 191.77 294.75 MAX: 26841.55 MAX: 29204.63
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 59 143 Zen 1 - EPYC 7601 253 452 694 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 102156.43, N = 3 SE +/- 85534.45, N = 3 104173220 58774090
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.22, N = 3 71.67 127.26 MAX: 10076.95 MAX: 10220.3
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 70 149 Zen 1 - EPYC 7601 252 497 735 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 417895.46, N = 3 SE +/- 470631.65, N = 3 103397638 59444334
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 90 180 270 360 450 SE +/- 2.13, N = 3 SE +/- 5.76, N = 3 254.31 421.30 MAX: 27111.61 MAX: 27834.33
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 71 151 Zen 1 - EPYC 7601 253 496 697 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 15M 30M 45M 60M 75M SE +/- 89839.93, N = 3 SE +/- 405601.66, N = 3 67937226 46049589
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 9 18 27 36 45 SE +/- 0.16, N = 3 SE +/- 0.33, N = 3 27.16 39.40 MAX: 23871.38 MAX: 23930.49
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 47 145 Zen 1 - EPYC 7601 252 418 700 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 15M 30M 45M 60M 75M SE +/- 292969.25, N = 3 SE +/- 330018.02, N = 3 67712944 45921074
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.31, N = 3 SE +/- 1.86, N = 3 106.91 147.89 MAX: 26717.27 MAX: 27830.18
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 50 146 Zen 1 - EPYC 7601 252 418 695 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 349666.50, N = 3 SE +/- 197187.95, N = 3 99531709 56993811
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.21, N = 3 47.19 82.07 MAX: 23867.11 MAX: 23993.13
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 69 148 Zen 1 - EPYC 7601 252 498 718 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 1905882.84, N = 12 SE +/- 596691.26, N = 5 91869780 57037441
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 70 140 210 280 350 SE +/- 4.45, N = 12 SE +/- 4.76, N = 5 195.49 318.24 MAX: 28108.09 MAX: 28518.21
Apache IoTDB CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 120 240 360 480 600 Min: 13.03 / Avg: 71.99 / Max: 147.68 Min: 251.74 / Avg: 501.08 / Max: 692.26
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 16M 32M 48M 64M 80M SE +/- 1143156.28, N = 12 SE +/- 295389.20, N = 3 73031288 58403756
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 1.78, N = 12 SE +/- 0.61, N = 3 101.60 129.77 MAX: 30258.71 MAX: 23980.17
Apache IoTDB CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 120 240 360 480 600 Min: 12.45 / Avg: 76.43 / Max: 146.71 Min: 251.55 / Avg: 534.74 / Max: 698.62
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 15M 30M 45M 60M 75M SE +/- 878468.51, N = 3 SE +/- 138623.83, N = 3 70984166 60237625
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 110 220 330 440 550 SE +/- 8.85, N = 3 SE +/- 3.72, N = 3 394.51 488.64 MAX: 32858.26 MAX: 28615.16
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 76 146 Zen 1 - EPYC 7601 254 530 790 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.24, N = 3 SE +/- 0.56, N = 3 125.10 199.01 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
DuckDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13.1 64.1 104.1 Zen 1 - EPYC 7601 211.1 418.3 590.5 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 178.44 245.74 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
DuckDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 12.9 53.0 90.9 Zen 1 - EPYC 7601 262.0 320.9 559.4 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 50K 100K 150K 200K 250K SE +/- 417.51, N = 3 SE +/- 702.01, N = 3 251434 152887
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s Per Watt, More Is Better Apache Cassandra 4.1.3 Test: Writes Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 500 1000 1500 2000 2500 2453.41 258.46
Apache Cassandra CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 102 131 Zen 1 - EPYC 7601 259 592 701 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 70M 140M 210M 280M 350M SE +/- 908871.00, N = 3 SE +/- 795244.11, N = 3 304542944 86867041 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 400K 800K 1200K 1600K 2000K 1947735.76 128090.20
Speedb CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 156 169 Zen 1 - EPYC 7601 259 678 714 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 3M 6M 9M 12M 15M SE +/- 104743.64, N = 15 SE +/- 67628.42, N = 3 12947507 6145679 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20K 40K 60K 80K 100K 81136.79 9060.48
Speedb CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 160 180 Zen 1 - EPYC 7601 260 678 716 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 600K 1200K 1800K 2400K 3000K SE +/- 17447.09, N = 3 SE +/- 1989.50, N = 3 2577564 1436074 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 4K 8K 12K 16K 20K 16894.41 2268.93
Speedb CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 153 173 Zen 1 - EPYC 7601 262 633 710 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 80K 160K 240K 320K 400K SE +/- 832.97, N = 3 SE +/- 239.59, N = 3 356602 201555 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 700 1400 2100 2800 3500 3398.27 396.18
Speedb CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14.4 104.9 121.7 Zen 1 - EPYC 7601 261.5 508.7 579.5 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 60M 120M 180M 240M 300M SE +/- 1581555.58, N = 3 SE +/- 416491.60, N = 3 302674440 84798204 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 400K 800K 1200K 1600K 2000K 1925962.53 125079.64
RocksDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 157 169 Zen 1 - EPYC 7601 259 678 714 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 1.5M 3M 4.5M 6M 7.5M SE +/- 125140.33, N = 12 SE +/- 34108.45, N = 3 6918267 3371876 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 9K 18K 27K 36K 45K 42709.95 4962.32
RocksDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 162 179 Zen 1 - EPYC 7601 262 679 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 600K 1200K 1800K 2400K 3000K SE +/- 22479.06, N = 15 SE +/- 4649.81, N = 3 2654286 1509184 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 4K 8K 12K 16K 20K 16345.97 2244.55
RocksDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 162 177 Zen 1 - EPYC 7601 268 672 711 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 100K 200K 300K 400K 500K SE +/- 566.63, N = 3 SE +/- 737.50, N = 3 483387 290618 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 800 1600 2400 3200 4000 3799.25 502.97
RocksDB CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 127 140 Zen 1 - EPYC 7601 264 578 641 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 700K 1400K 2100K 2800K 3500K SE +/- 25227.98, N = 9 SE +/- 1850.76, N = 3 3084431.37 1183656.97 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 5K 10K 15K 20K 25K 23505.65 1836.86
Redis 7.0.12 + memtier_benchmark CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 131 153 Zen 1 - EPYC 7601 260 644 714 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 600K 1200K 1800K 2400K 3000K SE +/- 25230.96, N = 3 SE +/- 8571.80, N = 11 2901182.23 1142464.16 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 5K 10K 15K 20K 25K 22203.36 1771.45
Redis 7.0.12 + memtier_benchmark CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 131 153 Zen 1 - EPYC 7601 266 645 715 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 80K 160K 240K 320K 400K SE +/- 548.98, N = 3 SE +/- 1034.27, N = 3 358093 123934 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 90K 180K 270K 360K 450K SE +/- 942.48, N = 3 SE +/- 1450.84, N = 3 406021 134417 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 600 1200 1800 2400 3000 2960.25 214.29
7-Zip Compression CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 137 180 Zen 1 - EPYC 7601 262 627 714 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.50, N = 4 SE +/- 0.88, N = 3 41.71 76.30
Timed Linux Kernel Compilation CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 95 176 Zen 1 - EPYC 7601 257 528 717 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 160 320 480 640 800 SE +/- 0.63, N = 3 SE +/- 0.57, N = 3 307.65 755.02
Timed Linux Kernel Compilation CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 151 177 Zen 1 - EPYC 7601 254 677 719 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 6.1 CPU Power Consumption Monitor 200 400 600 800 1000
Timed LLVM Compilation Build System: Ninja OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Ninja Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 90 180 270 360 450 SE +/- 0.09, N = 3 SE +/- 1.49, N = 3 173.87 435.05
Timed LLVM Compilation CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 138 180 Zen 1 - EPYC 7601 257 647 716 OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor 200 400 600 800 1000
Timed LLVM Compilation Build System: Unix Makefiles OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Unix Makefiles Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 110 220 330 440 550 SE +/- 0.55, N = 3 SE +/- 1.95, N = 3 261.16 529.72
Timed LLVM Compilation CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 113 180 Zen 1 - EPYC 7601 254 594 718 OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor 200 400 600 800 1000
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 19.8.1 Time To Compile Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 80 160 240 320 400 SE +/- 0.12, N = 3 SE +/- 0.64, N = 3 160.73 387.65
Timed Node.js Compilation CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 128 180 Zen 1 - EPYC 7601 144 624 717 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 80 160 240 320 400 SE +/- 2.38, N = 3 SE +/- 4.50, N = 3 217.13 388.02
Timed Gem5 Compilation CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 94 180 Zen 1 - EPYC 7601 225 533 719 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 18.06 39.79
Timed FFmpeg Compilation CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 85 178 Zen 1 - EPYC 7601 255 526 717 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40K 80K 120K 160K 200K SE +/- 779.11, N = 3 SE +/- 8.17, N = 3 171336.6 64481.7 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 200 400 600 800 1000 1133.59 95.99
QuantLib CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 151 177 Zen 1 - EPYC 7601 258 672 716 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 10 20 30 40 50 30.95 44.45 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 54.56 126.19 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 4C - EPYC 8534PN 12 158 176 Zen 1 - EPYC 7601 262 657 703 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 159.57 231.74 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 679.79 1179.25 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 4C - EPYC 8534PN 13 155 173 Zen 1 - EPYC 7601 263 641 705 OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 10 CPU Power Consumption Monitor 200 400 600 800 1000
OpenRadioss Model: Chrysler Neon 1M OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 110 220 330 440 550 SE +/- 0.36, N = 3 SE +/- 0.62, N = 3 297.72 499.30
OpenRadioss CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 145 162 Zen 1 - EPYC 7601 266 628 689 OpenBenchmarking.org Watts, Fewer Is Better OpenRadioss 2023.09.15 CPU Power Consumption Monitor 200 400 600 800 1000
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 600 1200 1800 2400 3000 SE +/- 5.71, N = 6 SE +/- 0.94, N = 3 2921.65 356.12 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.23, N = 6 SE +/- 0.04, N = 3 116.87 14.25 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.2329 0.4658 0.6987 0.9316 1.1645 1.035 0.022
miniBUDE CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 113 173 Zen 1 - EPYC 7601 266 655 707 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 600 1200 1800 2400 3000 SE +/- 2.46, N = 3 SE +/- 0.27, N = 3 2939.36 355.50 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 117.57 14.22 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1667 0.3334 0.5001 0.6668 0.8335 0.741 0.021
miniBUDE CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 159 175 Zen 1 - EPYC 7601 263 678 697 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.29, N = 3 SE +/- 1.77, N = 4 38.88 148.08 1. (CXX) g++ options: -O3 -fopenmp
easyWave CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13.9 89.2 104.3 Zen 1 - EPYC 7601 265.0 522.7 590.2 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 80 160 240 320 400 SE +/- 0.43, N = 3 SE +/- 6.02, N = 6 109.85 352.69 1. (CXX) g++ options: -O3 -fopenmp
easyWave CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13.8 94.5 104.7 Zen 1 - EPYC 7601 247.9 525.1 591.6 OpenBenchmarking.org Watts, Fewer Is Better easyWave r34 CPU Power Consumption Monitor 160 320 480 640 800
GPAW Input: Carbon Nanotube OpenBenchmarking.org Seconds, Fewer Is Better GPAW 23.6 Input: Carbon Nanotube Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.20, N = 3 SE +/- 0.91, N = 3 63.05 142.17 1. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
GPAW CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 155 177 Zen 1 - EPYC 7601 258 667 715 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 31.01 13.87 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0396 0.0792 0.1188 0.1584 0.198 0.176 0.020
LAMMPS Molecular Dynamics Simulator CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 176 179 Zen 1 - EPYC 7601 263 690 703 OpenBenchmarking.org Watts, Fewer Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 CPU Power Consumption Monitor 200 400 600 800 1000
CloverLeaf Input: clover_bm64_short OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm64_short Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 1.39, N = 3 57.38 108.60 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
CloverLeaf CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 119 130 Zen 1 - EPYC 7601 267 587 649 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 200 400 600 800 1000 SE +/- 0.79, N = 3 SE +/- 1.74, N = 3 497.09 971.50 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 110 220 330 440 550 Min: 14.57 / Avg: 130.07 / Max: 135.51 Min: 263.25 / Avg: 593.38 / Max: 633.3
Kripke OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.6 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 60M 120M 180M 240M 300M SE +/- 668520.88, N = 3 SE +/- 1601742.67, N = 3 303107200 187375933 1. (CXX) g++ options: -O3 -fopenmp -ldl
Kripke OpenBenchmarking.org Throughput FoM Per Watt, More Is Better Kripke 1.2.6 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 500K 1000K 1500K 2000K 2500K 2221434.65 291422.10
Kripke CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 136 175 Zen 1 - EPYC 7601 264 643 709 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 20.87 37.41 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 4C - EPYC 8534PN 14 119 152 Zen 1 - EPYC 7601 264 578 640 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 200 400 600 800 1000 SE +/- 1.66, N = 3 SE +/- 0.24, N = 3 562.36 818.05 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 120 240 360 480 600 Min: 14.17 / Avg: 133.33 / Max: 149.74 Min: 264.43 / Avg: 601.98 / Max: 679.05
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.2204 0.4408 0.6612 0.8816 1.102 SE +/- 0.00016, N = 3 SE +/- 0.00385, N = 3 0.39175 0.97959
NAMD CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 145 168 Zen 1 - EPYC 7601 265 665 714 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 5M 10M 15M 20M 25M SE +/- 46666.67, N = 3 SE +/- 66916.20, N = 3 21326667 12996667 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40K 80K 120K 160K 200K 201814.40 22248.55
Quicksilver CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 106 117 Zen 1 - EPYC 7601 243 584 648 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 3M 6M 9M 12M 15M SE +/- 14529.66, N = 3 SE +/- 37118.43, N = 3 16176667 15013333 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40K 80K 120K 160K 200K 175615.65 27116.87
Quicksilver CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13.6 92.1 94.5 Zen 1 - EPYC 7601 255.2 553.7 594.9 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 3M 6M 9M 12M 15M SE +/- 6666.67, N = 3 SE +/- 16666.67, N = 3 16316667 11426667 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30K 60K 90K 120K 150K 143547.53 18307.66
Quicksilver CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 114 117 Zen 1 - EPYC 7601 259 624 662 OpenBenchmarking.org Watts, Fewer Is Better Quicksilver 20230818 CPU Power Consumption Monitor 200 400 600 800 1000
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.006, N = 5 SE +/- 0.118, N = 3 5.099 15.693
Y-Cruncher CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 76 156 Zen 1 - EPYC 7601 262 543 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 8 16 24 32 40 SE +/- 0.01, N = 4 SE +/- 0.09, N = 3 10.23 33.92
Y-Cruncher CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 96 170 Zen 1 - EPYC 7601 263 602 718 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 5 10 15 20 25 SE +/- 0.145648, N = 5 SE +/- 0.057778, N = 15 22.953315 3.790799 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0459 0.0918 0.1377 0.1836 0.2295 0.204 0.006
ACES DGEMM CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 12 113 175 Zen 1 - EPYC 7601 264 618 679 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.47, N = 3 SE +/- 4.88, N = 12 126.97 201.18 -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 Min Avg Max Zen 4C - EPYC 8534PN 14 159 169 Zen 1 - EPYC 7601 255 673 711 OpenBenchmarking.org Watts, Fewer Is Better Timed MrBayes Analysis 3.2.7 CPU Power Consumption Monitor 200 400 600 800 1000
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: CPU-Only Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 16 32 48 64 80 SE +/- 0.12, N = 3 SE +/- 0.35, N = 3 27.07 73.00
Blender CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 136 169 Zen 1 - EPYC 7601 261 677 715 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.09, N = 3 SE +/- 1.40, N = 3 67.91 192.80
Blender CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 150 169 Zen 1 - EPYC 7601 263 696 717 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 35.37 101.20
Blender CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 147 171 Zen 1 - EPYC 7601 265 681 714 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 86.57 247.24
Blender CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 152 171 Zen 1 - EPYC 7601 264 698 715 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 170 340 510 680 850 SE +/- 0.15, N = 3 SE +/- 0.52, N = 3 240.35 767.15
Blender CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 157 176 Zen 1 - EPYC 7601 264 702 715 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.04, N = 5 SE +/- 0.05, N = 3 83.20 21.83 MIN: 82.46 / MAX: 84.5 MIN: 21.6 / MAX: 22.16
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1523 0.3046 0.4569 0.6092 0.7615 0.677 0.034
Embree CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 123 180 Zen 1 - EPYC 7601 266 649 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 15 30 45 60 75 SE +/- 0.09, N = 5 SE +/- 0.09, N = 3 67.90 18.36 MIN: 66.05 / MAX: 70.27 MIN: 18.01 / MAX: 18.84
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1168 0.2336 0.3504 0.4672 0.584 0.519 0.028
Embree CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 131 178 Zen 1 - EPYC 7601 265 660 715 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.414 0.828 1.242 1.656 2.07 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.84 0.48
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0034 0.0068 0.0102 0.0136 0.017 0.015 0.001
Intel Open Image Denoise CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 123 153 Zen 1 - EPYC 7601 263 656 700 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 2K 4K 6K 8K 10K SE +/- 2.08, N = 3 SE +/- 16.50, N = 3 1856 8478
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 128 164 Zen 1 - EPYC 7601 263 579 715 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30K 60K 90K 120K 150K SE +/- 45.84, N = 3 SE +/- 81.84, N = 3 36085 145528
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 111 163 Zen 1 - EPYC 7601 264 631 714 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 60K 120K 180K 240K 300K SE +/- 237.26, N = 3 SE +/- 353.76, N = 3 65725 280606
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 130 163 Zen 1 - EPYC 7601 263 664 715 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 2K 4K 6K 8K 10K SE +/- 3.51, N = 3 SE +/- 34.23, N = 3 2196 10050
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 129 165 Zen 1 - EPYC 7601 146 579 715 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40K 80K 120K 160K 200K SE +/- 228.15, N = 3 SE +/- 133.22, N = 3 41278 171188
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 117 164 Zen 1 - EPYC 7601 262 638 714 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 70K 140K 210K 280K 350K SE +/- 336.36, N = 3 SE +/- 188.22, N = 3 76785 331643
OSPRay Studio CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 134 164 Zen 1 - EPYC 7601 261 670 715 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.03849, N = 3 SE +/- 0.00282, N = 3 17.29860 2.57829
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0263 0.0526 0.0789 0.1052 0.1315 0.117 0.004
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 148 176 Zen 1 - EPYC 7601 163 621 710 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.01858, N = 3 SE +/- 0.01722, N = 3 16.80890 2.46692
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0254 0.0508 0.0762 0.1016 0.127 0.113 0.004
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 148 175 Zen 1 - EPYC 7601 264 621 710 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 5 10 15 20 25 SE +/- 0.02744, N = 3 SE +/- 0.01550, N = 3 19.64340 4.14841
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0308 0.0616 0.0924 0.1232 0.154 0.137 0.007
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 143 171 Zen 1 - EPYC 7601 263 635 708 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.01999, N = 3 SE +/- 0.01171, N = 3 17.09930 5.28931
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0234 0.0468 0.0702 0.0936 0.117 0.104 0.008
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 164 173 Zen 1 - EPYC 7601 265 681 703 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.05559, N = 3 SE +/- 0.00822, N = 3 17.04840 5.22116
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0281 0.0562 0.0843 0.1124 0.1405 0.125 0.008
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 136 173 Zen 1 - EPYC 7601 263 623 704 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 166.15 98.44
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.263 0.526 0.789 1.052 1.315 1.169 0.162
OSPRay CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 142 174 Zen 1 - EPYC 7601 262 607 699 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 13K 26K 39K 52K 65K SE +/- 764.13, N = 3 SE +/- 15.72, N = 3 60911 20175
Chaos Group V-RAY Mode: CPU OpenBenchmarking.org vsamples Per Watt, More Is Better Chaos Group V-RAY 5.02 Mode: CPU Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 100 200 300 400 500 463.07 34.52
Chaos Group V-RAY CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 132 176 Zen 1 - EPYC 7601 259 584 716 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 6 12 18 24 30 SE +/- 0.040, N = 3 SE +/- 0.050, N = 3 24.522 8.580
IndigoBench Acceleration: CPU - Scene: Supercar OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0419 0.0838 0.1257 0.1676 0.2095 0.186 0.013
IndigoBench CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 132 171 Zen 1 - EPYC 7601 263 666 719 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.005, N = 3 SE +/- 0.022, N = 3 11.172 3.991
IndigoBench Acceleration: CPU - Scene: Bedroom OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0167 0.0334 0.0501 0.0668 0.0835 0.074 0.006
IndigoBench CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 151 166 Zen 1 - EPYC 7601 263 662 717 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 114.95 58.23 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.4493 0.8986 1.3479 1.7972 2.2465 1.997 0.174
FFmpeg CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13.7 57.6 78.3 Zen 1 - EPYC 7601 261.5 334.7 472.2 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 23.18 10.39 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0902 0.1804 0.2706 0.3608 0.451 0.401 0.031
FFmpeg CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13.1 57.8 90.5 Zen 1 - EPYC 7601 251.3 338.9 555.2 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 46.96 21.03 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1719 0.3438 0.5157 0.6876 0.8595 0.764 0.060
FFmpeg CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13.1 61.5 79.3 Zen 1 - EPYC 7601 178.8 350.2 501.8 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 11 22 33 44 55 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 46.98 21.04 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1719 0.3438 0.5157 0.6876 0.8595 0.764 0.060
FFmpeg CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 12.8 61.5 78.9 Zen 1 - EPYC 7601 251.1 348.9 503.6 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 1.62, N = 9 SE +/- 2.72, N = 12 196.42 67.93 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.8494 1.6988 2.5482 3.3976 4.247 3.775 0.175
SVT-AV1 CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 52 123 Zen 1 - EPYC 7601 250 387 643 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 1.97, N = 6 SE +/- 0.80, N = 15 194.55 70.53 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.8532 1.7064 2.5596 3.4128 4.266 3.792 0.176
SVT-AV1 CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 51 122 Zen 1 - EPYC 7601 144 400 660 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 15 30 45 60 75 SE +/- 0.10, N = 4 SE +/- 0.17, N = 3 67.21 26.25 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.203 0.406 0.609 0.812 1.015 0.902 0.052
SVT-AV1 CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 74 129 Zen 1 - EPYC 7601 262 502 689 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 2 4 6 8 10 SE +/- 0.041, N = 3 SE +/- 0.011, N = 3 6.672 3.060 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0194 0.0388 0.0582 0.0776 0.097 0.086 0.006
SVT-AV1 CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 77 134 Zen 1 - EPYC 7601 254 498 687 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.020, N = 3 SE +/- 0.080, N = 3 12.355 6.971
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 10 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0509 0.1018 0.1527 0.2036 0.2545 0.226 0.020
rav1e CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 12.5 54.7 59.1 Zen 1 - EPYC 7601 252.3 344.6 364.8 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 1.0937 2.1874 3.2811 4.3748 5.4685 SE +/- 0.020, N = 3 SE +/- 0.003, N = 3 4.861 2.937
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 6 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0203 0.0406 0.0609 0.0812 0.1015 0.090 0.008
rav1e CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 12.6 54.3 62.3 Zen 1 - EPYC 7601 258.0 367.6 413.4 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.8057 1.6114 2.4171 3.2228 4.0285 SE +/- 0.002, N = 3 SE +/- 0.014, N = 3 3.581 2.249
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 5 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0146 0.0292 0.0438 0.0584 0.073 0.065 0.006
rav1e CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 12.9 55.0 68.3 Zen 1 - EPYC 7601 265.3 372.5 499.9 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1919 0.3838 0.5757 0.7676 0.9595 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.853 0.563
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 1 Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0032 0.0064 0.0096 0.0128 0.016 0.014 0.001
rav1e CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 12.8 62.3 81.6 Zen 1 - EPYC 7601 220.0 426.6 553.3 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.17, N = 4 27.54 14.52 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0808 0.1616 0.2424 0.3232 0.404 0.359 0.028
x265 CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13.1 76.7 98.8 Zen 1 - EPYC 7601 263.4 516.7 606.4 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 19.87 8.73
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0351 0.0702 0.1053 0.1404 0.1755 0.156 0.013
uvg266 CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 127 152 Zen 1 - EPYC 7601 257 656 705 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 12 24 36 48 60 SE +/- 0.04, N = 5 SE +/- 0.08, N = 3 52.59 22.27
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1069 0.2138 0.3207 0.4276 0.5345 0.475 0.036
uvg266 CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 111 151 Zen 1 - EPYC 7601 260 613 686 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 12 24 36 48 60 SE +/- 0.07, N = 5 SE +/- 0.01, N = 3 55.01 23.44
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1125 0.225 0.3375 0.45 0.5625 0.500 0.038
uvg266 CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 110 151 Zen 1 - EPYC 7601 264 618 689 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 13 26 39 52 65 SE +/- 0.14, N = 5 SE +/- 0.04, N = 3 55.98 27.21
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1262 0.2524 0.3786 0.5048 0.631 0.561 0.046
uvg266 CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 100 137 Zen 1 - EPYC 7601 264 589 673 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 2 4 6 8 10 SE +/- 0.008, N = 3 SE +/- 0.034, N = 3 6.280 3.291 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0155 0.031 0.0465 0.062 0.0775 0.069 0.006
VVenC CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 91 137 Zen 1 - EPYC 7601 159 513 706 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.020, N = 3 SE +/- 0.018, N = 3 11.564 6.493 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.0295 0.059 0.0885 0.118 0.1475 0.131 0.013
VVenC CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 88 122 Zen 1 - EPYC 7601 261 519 649 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 12 24 36 48 60 SE +/- 0.20, N = 3 SE +/- 0.00, N = 3 53.51 3.82 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 400 800 1200 1600 2000 SE +/- 2.44, N = 3 SE +/- 0.06, N = 3 595.92 2094.21 MIN: 511.76 / MAX: 618.53 MIN: 2092.79 / MAX: 2112.41 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 4C - EPYC 8534PN 14 148 164 Zen 1 - EPYC 7601 257 592 660 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 16K 32K 48K 64K 80K SE +/- 275.21, N = 3 SE +/- 3.60, N = 3 74625.61 13011.10 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.5468 1.0936 1.6404 2.1872 2.734 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.60 2.43 MIN: 0.27 / MAX: 24.87 MIN: 2.39 / MAX: 10.02 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 4C - EPYC 8534PN 14 140 152 Zen 1 - EPYC 7601 259 630 678 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 218.07 43.91 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.14, N = 3 SE +/- 0.36, N = 3 146.53 181.92 MIN: 71.86 / MAX: 230.85 MIN: 171.42 / MAX: 202.33 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 4C - EPYC 8534PN 15 150 168 Zen 1 - EPYC 7601 260 668 708 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 1100 2200 3300 4400 5500 SE +/- 6.62, N = 3 SE +/- 0.02, N = 3 5276.11 377.40 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 11.97 84.68 MIN: 6.19 / MAX: 26.19 MIN: 84.05 / MAX: 93.44 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 4C - EPYC 8534PN 15 153 164 Zen 1 - EPYC 7601 262 601 630 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 600 1200 1800 2400 3000 SE +/- 5.14, N = 3 SE +/- 0.35, N = 3 2902.57 295.80 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 10.90 27.01 MIN: 5.86 / MAX: 22.42 MIN: 26.86 / MAX: 38.57 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 4C - EPYC 8534PN 14 147 159 Zen 1 - EPYC 7601 261 616 662 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 600 1200 1800 2400 3000 SE +/- 1.69, N = 3 SE +/- 1.63, N = 3 2602.27 471.38 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 12.21 16.95 MIN: 7.44 / MAX: 23.58 MIN: 16.19 / MAX: 27.98 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 4C - EPYC 8534PN 15 139 153 Zen 1 - EPYC 7601 260 660 708 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 70 140 210 280 350 SE +/- 0.68, N = 3 SE +/- 0.10, N = 3 309.82 41.32 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.21, N = 3 SE +/- 0.49, N = 3 103.12 193.33 MIN: 51.8 / MAX: 150.84 MIN: 178.13 / MAX: 252.21 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 4C - EPYC 8534PN 14 152 170 Zen 1 - EPYC 7601 261 665 708 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 2K 4K 6K 8K 10K SE +/- 14.71, N = 3 SE +/- 0.26, N = 3 8840.41 877.49 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 7.10 9.10 MIN: 4.1 / MAX: 18.36 MIN: 9.04 / MAX: 17.25 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 4C - EPYC 8534PN 14 149 161 Zen 1 - EPYC 7601 262 604 653 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 SE +/- 0.72, N = 3 SE +/- 0.70, N = 3 1229.16 189.05 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.03, N = 3 SE +/- 0.65, N = 3 51.96 169.04 MIN: 33.44 / MAX: 81.12 MIN: 141.74 / MAX: 192.16 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 4C - EPYC 8534PN 15 163 176 Zen 1 - EPYC 7601 260 670 709 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 200 400 600 800 1000 SE +/- 2.89, N = 3 SE +/- 0.14, N = 3 977.07 149.49 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 12 24 36 48 60 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 32.67 53.47 MIN: 17.88 / MAX: 49.59 MIN: 52.68 / MAX: 66.73 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 4C - EPYC 8534PN 15 144 157 Zen 1 - EPYC 7601 262 614 672 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 SE +/- 0.50, N = 3 SE +/- 1.56, N = 3 1444.91 260.25
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 14 28 42 56 70 SE +/- 0.01, N = 3 SE +/- 0.36, N = 3 22.12 61.39
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 117 155 Zen 1 - EPYC 7601 260 558 711 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 70 140 210 280 350 SE +/- 0.25, N = 3 SE +/- 0.85, N = 6 322.28 90.66
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.07, N = 3 SE +/- 1.64, N = 6 99.11 176.43
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 132 162 Zen 1 - EPYC 7601 261 604 711 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 100 200 300 400 500 SE +/- 0.29, N = 3 SE +/- 0.49, N = 3 484.73 144.68
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.40, N = 3 65.93 110.45
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 134 157 Zen 1 - EPYC 7601 261 636 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 8 16 24 32 40 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 36.76 10.75
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 SE +/- 0.50, N = 3 SE +/- 5.55, N = 3 855.73 1457.92
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 133 176 Zen 1 - EPYC 7601 262 572 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.36, N = 3 SE +/- 0.21, N = 3 219.91 70.34
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.24, N = 3 SE +/- 0.66, N = 3 145.11 226.95
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 145 170 Zen 1 - EPYC 7601 260 632 709 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.29, N = 3 SE +/- 0.11, N = 3 221.30 70.56
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.20, N = 3 SE +/- 0.35, N = 3 144.14 226.37
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 144 169 Zen 1 - EPYC 7601 263 635 709 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 8 16 24 32 40 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 36.92 10.81
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 SE +/- 0.81, N = 3 SE +/- 2.60, N = 3 855.93 1460.70
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 133 175 Zen 1 - EPYC 7601 261 572 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 14 28 42 56 70 SE +/- 0.1281, N = 3 SE +/- 0.0191, N = 3 64.0361 9.2992
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 400 800 1200 1600 2000 SE +/- 1.38, N = 3 SE +/- 3.29, N = 3 495.14 1701.37
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 135 164 Zen 1 - EPYC 7601 264 582 695 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 100 200 300 400 500 SE +/- 0.12, N = 3 SE +/- 1.66, N = 3 484.87 142.80
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 1.29, N = 3 65.91 111.90
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 800 1600 2400 3200 4000 SE +/- 7.35, N = 3 SE +/- 0.49, N = 3 3821.92 155.70
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.0152, N = 3 SE +/- 0.3037, N = 3 8.3560 102.6582
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 127 148 Zen 1 - EPYC 7601 259 630 707 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 46.87 13.26
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 300 600 900 1200 1500 SE +/- 0.35, N = 3 SE +/- 3.61, N = 3 674.26 1200.10
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 98 173 Zen 1 - EPYC 7601 268 452 713 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 150 300 450 600 750 SE +/- 1.12, N = 3 SE +/- 1.27, N = 3 696.51 131.76
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.07, N = 3 SE +/- 1.16, N = 3 45.88 121.21
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 120 157 Zen 1 - EPYC 7601 265 568 712 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 50.27 9.82
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1343 0.2686 0.4029 0.5372 0.6715 0.597 0.019
TensorFlow CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13.6 84.2 118.3 Zen 1 - EPYC 7601 262.6 524.0 574.5 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 10 20 30 40 50 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 45.13 26.72 MIN: 43.52 / MAX: 46.26 MIN: 15.15 / MAX: 28.15
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.1546 0.3092 0.4638 0.6184 0.773 0.687 0.043
PyTorch CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 66 99 Zen 1 - EPYC 7601 263 620 701 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 8 16 24 32 40 SE +/- 0.11, N = 3 SE +/- 0.22, N = 3 36.56 21.21 MIN: 35.25 / MAX: 37.29 MIN: 13.9 / MAX: 22.04
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 0.088 0.176 0.264 0.352 0.44 0.391 0.032
PyTorch CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 13 93 106 Zen 1 - EPYC 7601 261 653 699 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 4K 8K 12K 16K 20K SE +/- 8.43, N = 3 SE +/- 58.63, N = 3 20716.5 7044.2 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 140.28 10.86
Xmrig CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14 148 165 Zen 1 - EPYC 7601 264 649 683 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 8K 16K 24K 32K 40K SE +/- 114.17, N = 3 SE +/- 27.32, N = 3 39663.3 10414.7 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Wownero - Hash Count: 1M Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 60 120 180 240 300 259.25 15.73
Xmrig CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 153 180 Zen 1 - EPYC 7601 264 662 706 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 4K 8K 12K 16K 20K SE +/- 7.38, N = 3 SE +/- 75.94, N = 12 20699.5 6957.2 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 136.92 10.81
Xmrig CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 151 167 Zen 1 - EPYC 7601 227 644 682 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 200 400 600 800 1000
Xmrig Variant: CryptoNight-Heavy - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 4K 8K 12K 16K 20K SE +/- 174.63, N = 3 SE +/- 21.41, N = 3 20541.8 7081.0 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: CryptoNight-Heavy - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 135.43 10.98
Xmrig CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 152 168 Zen 1 - EPYC 7601 266 645 679 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 4K 8K 12K 16K 20K SE +/- 3.75, N = 3 SE +/- 60.77, N = 12 20720.8 6937.9 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 30 60 90 120 150 135.71 10.77
Xmrig CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 15 153 168 Zen 1 - EPYC 7601 266 644 680 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 200 400 600 800 1000
Xmrig Variant: GhostRider - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M Zen 4C - EPYC 8534PN Zen 1 - EPYC 7601 900 1800 2700 3600 4500 SE +/- 5.88, N = 3 SE +/- 6.67, N = 3 4376.0 1070.1 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 4C - EPYC 8534PN Zen 1 - EPYC 7601 8 16 24 32 40 35.252 1.914
Xmrig CPU Power Consumption Monitor Min Avg Max Zen 4C - EPYC 8534PN 14.9 124.1 127.7 Zen 1 - EPYC 7601 265.4 559.1 586.0 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 160 320 480 640 800
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 4C - EPYC 8534PN Zen 1 - EPYC 7601 140 280 420 560 700 Min: 7.2 / Avg: 112.32 / Max: 180 Min: 134.19 / Avg: 579.81 / Max: 789.58
Phoronix Test Suite v10.8.4