AMD EPYC 7601 32-Core testing with a TYAN B8026T70AE24HR (V1.02.B10 BIOS) and llvmpipe on Ubuntu 23.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2401081-NE-AMDEPYCZE16 AMD EPYC Zen 1 - Phoronix Test Suite AMD EPYC Zen 1 AMD EPYC 7601 32-Core testing with a TYAN B8026T70AE24HR (V1.02.B10 BIOS) and llvmpipe on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2401081-NE-AMDEPYCZE16&gru&export=txt .
AMD EPYC Zen 1 Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution Zen 1 - EPYC 7601 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 OpenBenchmarking.org - Transparent Huge Pages: madvise - --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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e - OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10) - Python 3.11.6 - 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
AMD EPYC Zen 1 pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 256 - ResNet-50 minibude: OpenMP - BM1 minibude: OpenMP - BM2 openssl: SHA256 openssl: AES-128-GCM openssl: SHA512 openssl: AES-256-GCM openssl: ChaCha20 openssl: ChaCha20-Poly1305 quicksilver: CORAL2 P1 quicksilver: CORAL2 P2 quicksilver: CTS2 ffmpeg: libx265 - Live ffmpeg: libx265 - Platform ffmpeg: libx265 - Upload ffmpeg: libx265 - Video On Demand openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Crown svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 4K uvg266: Bosphorus 4K - Very Fast uvg266: Bosphorus 4K - Ultra Fast vvenc: Bosphorus 4K - Faster rav1e: 10 rav1e: 6 uvg266: Bosphorus 4K - Medium uvg266: Bosphorus 4K - Super Fast rav1e: 5 rav1e: 1 x265: Bosphorus 4K vvenc: Bosphorus 4K - Fast minibude: OpenMP - BM1 minibude: OpenMP - BM2 mt-dgemm: Sustained Floating-Point Rate xmrig: Wownero - 1M xmrig: CryptoNight-Femto UPX2 - 1M xmrig: CryptoNight-Heavy - 1M xmrig: KawPow - 1M xmrig: GhostRider - 1M xmrig: Monero - 1M oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only tensorflow: CPU - 16 - ResNet-50 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 deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - 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, Sparse INT8 - 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: ResNet-50, Baseline - 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, Sparse INT8 - Asynchronous Multi-Stream indigobench: CPU - Supercar indigobench: CPU - Bedroom quantlib: Multi-Threaded compress-7zip: Compression Rating compress-7zip: Decompression Rating gromacs: MPI CPU - water_GMX50_bare lammps: 20k Atoms 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 apache-iotdb: 500 - 100 - 200 - 100 apache-iotdb: 500 - 100 - 200 - 400 apache-iotdb: 500 - 100 - 500 - 100 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 100 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 200 - 100 apache-iotdb: 800 - 100 - 200 - 400 apache-iotdb: 800 - 100 - 500 - 100 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 100 apache-iotdb: 800 - 100 - 800 - 400 nginx: 500 nginx: 1000 apache: 1000 openssl: RSA4096 kripke: openssl: RSA4096 v-ray: CPU apache-iotdb: 500 - 100 - 200 - 100 apache-iotdb: 500 - 100 - 200 - 400 apache-iotdb: 500 - 100 - 500 - 100 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 100 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 200 - 100 apache-iotdb: 800 - 100 - 200 - 400 apache-iotdb: 800 - 100 - 500 - 100 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 100 apache-iotdb: 800 - 100 - 800 - 400 namd: ATPase Simulation - 327,506 Atoms 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 openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Handwritten English Recognition 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, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - 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, Sparse INT8 - 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: ResNet-50, Baseline - 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, Sparse INT8 - Asynchronous Multi-Stream duckdb: IMDB duckdb: TPC-H Parquet 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 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 easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 gpaw: Carbon Nanotube cloverleaf: clover_bm64_short cloverleaf: clover_bm16 incompact3d: input.i3d 193 Cells Per Direction incompact3d: X3D-benchmarking input.i3d y-cruncher: 500M y-cruncher: 1B 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 Zen 1 - EPYC 7601 26.72 21.21 14.245 14.220 27056830400 97645009487 8316184170 89948428697 47920025967 30315490690 12996667 15013333 11426667 58.23 21.03 10.39 21.04 3.82 13011.10 43.91 377.40 295.80 471.38 41.32 877.49 189.05 149.49 21.8315 18.3613 67.934 70.525 26.252 3.060 22.27 27.21 6.493 6.971 2.937 8.73 23.44 2.249 0.563 14.52 3.291 356.122 355.501 3.790799 10414.7 6957.2 7081.0 6937.9 1070.1 7044.2 0.48 9.82 2.57829 2.46692 4.14841 5.28931 5.22116 98.4413 260.2496 90.6624 144.6829 10.7545 70.3395 70.5586 10.8070 9.2992 142.7964 155.7019 13.2597 131.7605 8.580 3.991 64481.7 123934 134417 1.992 13.872 152887 86867041 6145679 1436074 201555 84798204 3371876 1509184 290618 1183656.97 1142464.16 38712263 38176456 53759940 52849125 58774090 59444334 46049589 45921074 56993811 57037441 58403756 60237625 103269.83 100664.35 88038.28 4510.7 187375933 293924.1 20175 46.29 166.00 85.07 294.75 127.26 421.30 39.40 147.89 82.07 318.24 129.77 488.64 0.97959 8478 145528 280606 10050 171188 331643 2094.21 2.43 181.92 84.68 27.01 16.95 193.33 9.1 169.04 53.47 61.3934 176.4317 110.4484 1457.9155 226.9518 226.3744 1460.7041 1701.3747 111.8988 102.6582 1200.1003 121.2093 199.014 245.742 76.300 755.017 435.054 529.717 387.652 388.023 39.789 78.679904384 74.950625896 38.063179250 29.951886203 30.283593040 44.44531 126.1908 231.74446 1179.2541 499.30 148.077 352.687 142.165 108.60 971.50 37.4064191 818.054118 15.693 33.923 201.182 73.00 192.80 101.20 247.24 767.15 OpenBenchmarking.org
CPU Power Consumption Monitor Phoronix Test Suite System Monitoring OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring Zen 1 - EPYC 7601 140 280 420 560 700 Min: 134.19 / Avg: 579.81 / Max: 789.58
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 Zen 1 - EPYC 7601 0.0097 0.0194 0.0291 0.0388 0.0485 0.043
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec Per Watt, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 Zen 1 - EPYC 7601 0.0072 0.0144 0.0216 0.0288 0.036 0.032
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 Zen 1 - EPYC 7601 6 12 18 24 30 SE +/- 0.12, N = 3 26.72 MIN: 15.15 / MAX: 28.15
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 Zen 1 - EPYC 7601 5 10 15 20 25 SE +/- 0.22, N = 3 21.21 MIN: 13.9 / MAX: 22.04
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Zen 1 - EPYC 7601 0.005 0.01 0.015 0.02 0.025 0.022
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Zen 1 - EPYC 7601 0.0047 0.0094 0.0141 0.0188 0.0235 0.021
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.04, N = 3 14.25 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.01, N = 3 14.22 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA256 Zen 1 - EPYC 7601 8M 16M 24M 32M 40M 38850033.87
OpenSSL Algorithm: SHA512 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA512 Zen 1 - EPYC 7601 3M 6M 9M 12M 15M 11909195.29
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA256 Zen 1 - EPYC 7601 6000M 12000M 18000M 24000M 30000M SE +/- 48383276.04, N = 3 27056830400 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: AES-128-GCM OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM Zen 1 - EPYC 7601 30M 60M 90M 120M 150M 139836719.65
OpenSSL Algorithm: AES-256-GCM OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM Zen 1 - EPYC 7601 30M 60M 90M 120M 150M 128846358.68
OpenSSL Algorithm: ChaCha20 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 Zen 1 - EPYC 7601 15M 30M 45M 60M 75M 69962511.27
OpenSSL Algorithm: AES-128-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM Zen 1 - EPYC 7601 20000M 40000M 60000M 80000M 100000M SE +/- 101833027.65, N = 3 97645009487 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: ChaCha20-Poly1305 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 Zen 1 - EPYC 7601 9M 18M 27M 36M 45M 44247682.05
OpenSSL Algorithm: SHA512 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 Zen 1 - EPYC 7601 2000M 4000M 6000M 8000M 10000M SE +/- 6971539.66, N = 3 8316184170 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: AES-256-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM Zen 1 - EPYC 7601 20000M 40000M 60000M 80000M 100000M SE +/- 95870018.66, N = 3 89948428697 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: ChaCha20 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 Zen 1 - EPYC 7601 10000M 20000M 30000M 40000M 50000M SE +/- 23640894.78, N = 3 47920025967 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: ChaCha20-Poly1305 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 Zen 1 - EPYC 7601 6000M 12000M 18000M 24000M 30000M SE +/- 12075597.72, N = 3 30315490690 1. (CC) gcc options: -pthread -m64 -O3 -ldl
Quicksilver Input: CORAL2 P1 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CORAL2 P1 Zen 1 - EPYC 7601 3M 6M 9M 12M 15M SE +/- 66916.20, N = 3 12996667 1. (CXX) g++ options: -fopenmp -O3 -march=native
Quicksilver Input: CORAL2 P2 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CORAL2 P2 Zen 1 - EPYC 7601 3M 6M 9M 12M 15M SE +/- 37118.43, N = 3 15013333 1. (CXX) g++ options: -fopenmp -O3 -march=native
Quicksilver Input: CORAL2 P1 OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Quicksilver 20230818 Input: CORAL2 P1 Zen 1 - EPYC 7601 5K 10K 15K 20K 25K 22248.55
Quicksilver Input: CORAL2 P2 OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Quicksilver 20230818 Input: CORAL2 P2 Zen 1 - EPYC 7601 6K 12K 18K 24K 30K 27116.87
Quicksilver Input: CTS2 OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Quicksilver 20230818 Input: CTS2 Zen 1 - EPYC 7601 4K 8K 12K 16K 20K 18307.66
Quicksilver Input: CTS2 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CTS2 Zen 1 - EPYC 7601 2M 4M 6M 8M 10M SE +/- 16666.67, N = 3 11426667 1. (CXX) g++ options: -fopenmp -O3 -march=native
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live Zen 1 - EPYC 7601 0.0392 0.0784 0.1176 0.1568 0.196 0.174
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live Zen 1 - EPYC 7601 13 26 39 52 65 SE +/- 0.07, N = 3 58.23 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform Zen 1 - EPYC 7601 5 10 15 20 25 SE +/- 0.02, N = 3 21.03 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload Zen 1 - EPYC 7601 0.007 0.014 0.021 0.028 0.035 0.031
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform Zen 1 - EPYC 7601 0.0135 0.027 0.0405 0.054 0.0675 0.06
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.00, N = 3 10.39 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand Zen 1 - EPYC 7601 5 10 15 20 25 SE +/- 0.00, N = 3 21.04 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 0.8595 1.719 2.5785 3.438 4.2975 SE +/- 0.00, N = 3 3.82 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 FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 3K 6K 9K 12K 15K SE +/- 3.60, N = 3 13011.10 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 FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU Zen 1 - EPYC 7601 10 20 30 40 50 SE +/- 0.09, N = 3 43.91 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 FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 80 160 240 320 400 SE +/- 0.02, N = 3 377.40 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 FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 60 120 180 240 300 SE +/- 0.35, N = 3 295.80 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 FPS, More Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Zen 1 - EPYC 7601 100 200 300 400 500 SE +/- 1.63, N = 3 471.38 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 FPS, More Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Zen 1 - EPYC 7601 9 18 27 36 45 SE +/- 0.10, N = 3 41.32 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 FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 200 400 600 800 1000 SE +/- 0.26, N = 3 877.49 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 FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.70, N = 3 189.05 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 FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.14, N = 3 149.49 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand Zen 1 - EPYC 7601 0.0135 0.027 0.0405 0.054 0.0675 0.06
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Zen 1 - EPYC 7601 0.0077 0.0154 0.0231 0.0308 0.0385 0.034
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Zen 1 - EPYC 7601 5 10 15 20 25 SE +/- 0.05, N = 3 21.83 MIN: 21.6 / MAX: 22.16
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Zen 1 - EPYC 7601 5 10 15 20 25 SE +/- 0.09, N = 3 18.36 MIN: 18.01 / MAX: 18.84
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 4K Zen 1 - EPYC 7601 15 30 45 60 75 SE +/- 2.72, N = 12 67.93 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, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K Zen 1 - EPYC 7601 16 32 48 64 80 SE +/- 0.80, N = 15 70.53 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, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K Zen 1 - EPYC 7601 6 12 18 24 30 SE +/- 0.17, N = 3 26.25 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, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K Zen 1 - EPYC 7601 0.6885 1.377 2.0655 2.754 3.4425 SE +/- 0.011, N = 3 3.060 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
uvg266 Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Zen 1 - EPYC 7601 5 10 15 20 25 SE +/- 0.08, N = 3 22.27
uvg266 Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Zen 1 - EPYC 7601 6 12 18 24 30 SE +/- 0.04, N = 3 27.21
VVenC Video Input: Bosphorus 4K - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Zen 1 - EPYC 7601 2 4 6 8 10 SE +/- 0.018, N = 3 6.493 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Zen 1 - EPYC 7601 0.0063 0.0126 0.0189 0.0252 0.0315 0.028
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 4K Zen 1 - EPYC 7601 0.0394 0.0788 0.1182 0.1576 0.197 0.175
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K Zen 1 - EPYC 7601 0.0396 0.0792 0.1188 0.1584 0.198 0.176
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K Zen 1 - EPYC 7601 0.0117 0.0234 0.0351 0.0468 0.0585 0.052
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 10 Zen 1 - EPYC 7601 2 4 6 8 10 SE +/- 0.080, N = 3 6.971
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K Zen 1 - EPYC 7601 0.0014 0.0028 0.0042 0.0056 0.007 0.006
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 10 Zen 1 - EPYC 7601 0.0045 0.009 0.0135 0.018 0.0225 0.02
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 6 Zen 1 - EPYC 7601 0.0018 0.0036 0.0054 0.0072 0.009 0.008
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 6 Zen 1 - EPYC 7601 0.6608 1.3216 1.9824 2.6432 3.304 SE +/- 0.003, N = 3 2.937
uvg266 Video Input: Bosphorus 4K - Video Preset: Medium OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Zen 1 - EPYC 7601 2 4 6 8 10 SE +/- 0.04, N = 3 8.73
uvg266 Video Input: Bosphorus 4K - Video Preset: Super Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Zen 1 - EPYC 7601 6 12 18 24 30 SE +/- 0.01, N = 3 23.44
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 5 Zen 1 - EPYC 7601 0.0014 0.0028 0.0042 0.0056 0.007 0.006
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 1 Zen 1 - EPYC 7601 0.0002 0.0004 0.0006 0.0008 0.001 0.001
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K Zen 1 - EPYC 7601 0.0063 0.0126 0.0189 0.0252 0.0315 0.028
uvg266 Video Input: Bosphorus 4K - Video Preset: Medium OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Zen 1 - EPYC 7601 0.0029 0.0058 0.0087 0.0116 0.0145 0.013
uvg266 Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Zen 1 - EPYC 7601 0.0081 0.0162 0.0243 0.0324 0.0405 0.036
uvg266 Video Input: Bosphorus 4K - Video Preset: Super Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Zen 1 - EPYC 7601 0.0086 0.0172 0.0258 0.0344 0.043 0.038
uvg266 Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Zen 1 - EPYC 7601 0.0104 0.0208 0.0312 0.0416 0.052 0.046
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Zen 1 - EPYC 7601 0.0014 0.0028 0.0042 0.0056 0.007 0.006
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 5 Zen 1 - EPYC 7601 0.506 1.012 1.518 2.024 2.53 SE +/- 0.014, N = 3 2.249
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 1 Zen 1 - EPYC 7601 0.1267 0.2534 0.3801 0.5068 0.6335 SE +/- 0.001, N = 3 0.563
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.17, N = 4 14.52 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Zen 1 - EPYC 7601 0.7405 1.481 2.2215 2.962 3.7025 SE +/- 0.034, N = 3 3.291 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
VVenC Video Input: Bosphorus 4K - Video Preset: Faster OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Zen 1 - EPYC 7601 0.0029 0.0058 0.0087 0.0116 0.0145 0.013
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Zen 1 - EPYC 7601 80 160 240 320 400 SE +/- 0.94, N = 3 356.12 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Zen 1 - EPYC 7601 80 160 240 320 400 SE +/- 0.27, N = 3 355.50 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate Zen 1 - EPYC 7601 0.0014 0.0028 0.0042 0.0056 0.007 0.006
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate Zen 1 - EPYC 7601 0.8529 1.7058 2.5587 3.4116 4.2645 SE +/- 0.057778, N = 15 3.790799 1. (CC) gcc options: -O3 -march=native -fopenmp
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: Wownero - Hash Count: 1M Zen 1 - EPYC 7601 2K 4K 6K 8K 10K SE +/- 27.32, N = 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: CryptoNight-Femto UPX2 - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M Zen 1 - EPYC 7601 1500 3000 4500 6000 7500 SE +/- 75.94, N = 12 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-Heavy - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M Zen 1 - EPYC 7601 1500 3000 4500 6000 7500 SE +/- 21.41, N = 3 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: KawPow - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M Zen 1 - EPYC 7601 1500 3000 4500 6000 7500 SE +/- 60.77, N = 12 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: GhostRider - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M Zen 1 - EPYC 7601 200 400 600 800 1000 SE +/- 6.67, N = 3 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: Monero - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M Zen 1 - EPYC 7601 3 6 9 12 15 10.86
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Wownero - Hash Count: 1M Zen 1 - EPYC 7601 4 8 12 16 20 15.73
Xmrig Variant: CryptoNight-Femto UPX2 - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M Zen 1 - EPYC 7601 3 6 9 12 15 10.81
Xmrig Variant: CryptoNight-Heavy - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M Zen 1 - EPYC 7601 3 6 9 12 15 10.98
Xmrig Variant: KawPow - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M Zen 1 - EPYC 7601 3 6 9 12 15 10.77
Xmrig Variant: GhostRider - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M Zen 1 - EPYC 7601 0.4307 0.8614 1.2921 1.7228 2.1535 1.914
Xmrig Variant: Monero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M Zen 1 - EPYC 7601 1500 3000 4500 6000 7500 SE +/- 58.63, N = 3 7044.2 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Zen 1 - EPYC 7601 0.108 0.216 0.324 0.432 0.54 SE +/- 0.00, N = 3 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 1 - EPYC 7601 0.0002 0.0004 0.0006 0.0008 0.001 0.001
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.04, N = 3 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 1 - EPYC 7601 0.0043 0.0086 0.0129 0.0172 0.0215 0.019
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time Zen 1 - EPYC 7601 0.0018 0.0036 0.0054 0.0072 0.009 0.008
OSPRay Benchmark: particle_volume/pathtracer/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Zen 1 - EPYC 7601 0.0365 0.073 0.1095 0.146 0.1825 0.162
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Zen 1 - EPYC 7601 0.5801 1.1602 1.7403 2.3204 2.9005 SE +/- 0.00282, N = 3 2.57829
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Zen 1 - EPYC 7601 0.5551 1.1102 1.6653 2.2204 2.7755 SE +/- 0.01722, N = 3 2.46692
OSPRay Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Zen 1 - EPYC 7601 0.9334 1.8668 2.8002 3.7336 4.667 SE +/- 0.01550, N = 3 4.14841
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Zen 1 - EPYC 7601 0.0009 0.0018 0.0027 0.0036 0.0045 0.004
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time Zen 1 - EPYC 7601 1.1901 2.3802 3.5703 4.7604 5.9505 SE +/- 0.01171, N = 3 5.28931
OSPRay Benchmark: particle_volume/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Zen 1 - EPYC 7601 1.1748 2.3496 3.5244 4.6992 5.874 SE +/- 0.00822, N = 3 5.22116
OSPRay Benchmark: particle_volume/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.08, N = 3 98.44
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Zen 1 - EPYC 7601 0.0009 0.0018 0.0027 0.0036 0.0045 0.004
OSPRay Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Zen 1 - EPYC 7601 0.0016 0.0032 0.0048 0.0064 0.008 0.007
OSPRay Benchmark: particle_volume/scivis/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Zen 1 - EPYC 7601 0.0018 0.0036 0.0054 0.0072 0.009 0.008
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 60 120 180 240 300 SE +/- 1.56, N = 3 260.25
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.85, N = 6 90.66
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.49, N = 3 144.68
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.04, N = 3 10.75
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 16 32 48 64 80 SE +/- 0.21, N = 3 70.34
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 16 32 48 64 80 SE +/- 0.11, N = 3 70.56
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.07, N = 3 10.81
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.0191, N = 3 9.2992
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 1.66, N = 3 142.80
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.49, N = 3 155.70
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.06, N = 3 13.26
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 1.27, N = 3 131.76
IndigoBench Acceleration: CPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Zen 1 - EPYC 7601 2 4 6 8 10 SE +/- 0.050, N = 3 8.580
IndigoBench Acceleration: CPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Zen 1 - EPYC 7601 0.898 1.796 2.694 3.592 4.49 SE +/- 0.022, N = 3 3.991
IndigoBench Acceleration: CPU - Scene: Supercar OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar Zen 1 - EPYC 7601 0.0029 0.0058 0.0087 0.0116 0.0145 0.013
IndigoBench Acceleration: CPU - Scene: Bedroom OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom Zen 1 - EPYC 7601 0.0014 0.0028 0.0042 0.0056 0.007 0.006
QuantLib Configuration: Multi-Threaded OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.32 Configuration: Multi-Threaded Zen 1 - EPYC 7601 14K 28K 42K 56K 70K SE +/- 8.17, N = 3 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 1 - EPYC 7601 20 40 60 80 100 95.99
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating Zen 1 - EPYC 7601 50 100 150 200 250 214.29
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating Zen 1 - EPYC 7601 30K 60K 90K 120K 150K SE +/- 1034.27, N = 3 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 1 - EPYC 7601 30K 60K 90K 120K 150K SE +/- 1450.84, N = 3 134417 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
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
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.05, N = 3 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 1 - EPYC 7601 0.0045 0.009 0.0135 0.018 0.0225 0.02
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes Zen 1 - EPYC 7601 30K 60K 90K 120K 150K SE +/- 702.01, N = 3 152887
Speedb Test: Random Read OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Random Read Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 795244.11, N = 3 86867041 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read While Writing Zen 1 - EPYC 7601 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 67628.42, N = 3 6145679 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read Random Write Random Zen 1 - EPYC 7601 300K 600K 900K 1200K 1500K SE +/- 1989.50, N = 3 1436074 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Update Random OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Update Random Zen 1 - EPYC 7601 40K 80K 120K 160K 200K SE +/- 239.59, N = 3 201555 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s Per Watt, More Is Better Apache Cassandra 4.1.3 Test: Writes Zen 1 - EPYC 7601 60 120 180 240 300 258.46
Speedb Test: Read While Writing OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Read While Writing Zen 1 - EPYC 7601 2K 4K 6K 8K 10K 9060.48
Speedb Test: Read Random Write Random OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Read Random Write Random Zen 1 - EPYC 7601 500 1000 1500 2000 2500 2268.93
Speedb Test: Update Random OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Update Random Zen 1 - EPYC 7601 90 180 270 360 450 396.18
RocksDB Test: Random Read OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Random Read Zen 1 - EPYC 7601 30K 60K 90K 120K 150K 125079.64
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Read While Writing Zen 1 - EPYC 7601 1100 2200 3300 4400 5500 4962.32
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Read Random Write Random Zen 1 - EPYC 7601 500 1000 1500 2000 2500 2244.55
RocksDB Test: Update Random OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Update Random Zen 1 - EPYC 7601 110 220 330 440 550 502.97
RocksDB Test: Random Read OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Random Read Zen 1 - EPYC 7601 20M 40M 60M 80M 100M SE +/- 416491.60, N = 3 84798204 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Random Read OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Random Read Zen 1 - EPYC 7601 30K 60K 90K 120K 150K 128090.20
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Read While Writing Zen 1 - EPYC 7601 700K 1400K 2100K 2800K 3500K SE +/- 34108.45, N = 3 3371876 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Read Random Write Random Zen 1 - EPYC 7601 300K 600K 900K 1200K 1500K SE +/- 4649.81, N = 3 1509184 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Update Random OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Update Random Zen 1 - EPYC 7601 60K 120K 180K 240K 300K SE +/- 737.50, N = 3 290618 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 OpenBenchmarking.org Ops/sec Per Watt, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Zen 1 - EPYC 7601 400 800 1200 1600 2000 1836.86
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Zen 1 - EPYC 7601 300K 600K 900K 1200K 1500K SE +/- 1850.76, N = 3 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: 1:5 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Zen 1 - EPYC 7601 200K 400K 600K 800K 1000K SE +/- 8571.80, N = 11 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 1 - EPYC 7601 400 800 1200 1600 2000 1771.45
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 500 1000 1500 2000 2500 2562.10
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Zen 1 - EPYC 7601 8M 16M 24M 32M 40M SE +/- 524500.20, N = 3 38712263
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Zen 1 - EPYC 7601 8M 16M 24M 32M 40M SE +/- 325879.11, N = 8 38176456
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Zen 1 - EPYC 7601 12M 24M 36M 48M 60M SE +/- 175336.13, N = 3 53759940
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Zen 1 - EPYC 7601 11M 22M 33M 44M 55M SE +/- 507374.51, N = 3 52849125
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Zen 1 - EPYC 7601 13M 26M 39M 52M 65M SE +/- 85534.45, N = 3 58774090
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Zen 1 - EPYC 7601 13M 26M 39M 52M 65M SE +/- 470631.65, N = 3 59444334
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Zen 1 - EPYC 7601 10M 20M 30M 40M 50M SE +/- 405601.66, N = 3 46049589
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Zen 1 - EPYC 7601 10M 20M 30M 40M 50M SE +/- 330018.02, N = 3 45921074
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Zen 1 - EPYC 7601 12M 24M 36M 48M 60M SE +/- 197187.95, N = 3 56993811
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Zen 1 - EPYC 7601 12M 24M 36M 48M 60M SE +/- 596691.26, N = 5 57037441
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Zen 1 - EPYC 7601 13M 26M 39M 52M 65M SE +/- 295389.20, N = 3 58403756
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Zen 1 - EPYC 7601 13M 26M 39M 52M 65M SE +/- 138623.83, N = 3 60237625
nginx Connections: 1000 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.23.2 Connections: 1000 Zen 1 - EPYC 7601 30 60 90 120 150 148.96
Apache HTTP Server Concurrent Requests: 1000 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Zen 1 - EPYC 7601 30 60 90 120 150 132.65
nginx Connections: 500 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 Zen 1 - EPYC 7601 20K 40K 60K 80K 100K SE +/- 450.48, N = 3 103269.83 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 1000 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 1000 Zen 1 - EPYC 7601 20K 40K 60K 80K 100K SE +/- 212.46, N = 3 100664.35 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, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Zen 1 - EPYC 7601 20K 40K 60K 80K 100K SE +/- 319.15, N = 3 88038.28 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 500 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.23.2 Connections: 500 Zen 1 - EPYC 7601 30 60 90 120 150 153.16
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Zen 1 - EPYC 7601 1000 2000 3000 4000 5000 SE +/- 8.66, N = 3 4510.7 1. (CC) gcc options: -pthread -m64 -O3 -ldl
Kripke OpenBenchmarking.org Throughput FoM Per Watt, More Is Better Kripke 1.2.6 Zen 1 - EPYC 7601 60K 120K 180K 240K 300K 291422.10
Kripke OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.6 Zen 1 - EPYC 7601 40M 80M 120M 160M 200M SE +/- 1601742.67, N = 3 187375933 1. (CXX) g++ options: -O3 -fopenmp -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Zen 1 - EPYC 7601 90 180 270 360 450 432.83
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 Zen 1 - EPYC 7601 60K 120K 180K 240K 300K SE +/- 361.69, N = 3 293924.1 1. (CC) gcc options: -pthread -m64 -O3 -ldl
Chaos Group V-RAY Mode: CPU OpenBenchmarking.org vsamples Per Watt, More Is Better Chaos Group V-RAY 5.02 Mode: CPU Zen 1 - EPYC 7601 8 16 24 32 40 34.52
Chaos Group V-RAY Mode: CPU OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 5.02 Mode: CPU Zen 1 - EPYC 7601 4K 8K 12K 16K 20K SE +/- 15.72, N = 3 20175
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Zen 1 - EPYC 7601 10 20 30 40 50 SE +/- 0.62, N = 3 46.29 MAX: 12751.47
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 1.86, N = 8 166.00 MAX: 27445.2
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.50, N = 3 85.07 MAX: 11426.59
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Zen 1 - EPYC 7601 60 120 180 240 300 SE +/- 3.57, N = 3 294.75 MAX: 29204.63
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.22, N = 3 127.26 MAX: 10220.3
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Zen 1 - EPYC 7601 90 180 270 360 450 SE +/- 5.76, N = 3 421.30 MAX: 27834.33
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Zen 1 - EPYC 7601 9 18 27 36 45 SE +/- 0.33, N = 3 39.40 MAX: 23930.49
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 1.86, N = 3 147.89 MAX: 27830.18
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.21, N = 3 82.07 MAX: 23993.13
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Zen 1 - EPYC 7601 70 140 210 280 350 SE +/- 4.76, N = 5 318.24 MAX: 28518.21
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.61, N = 3 129.77 MAX: 23980.17
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org Average Latency, Fewer Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Zen 1 - EPYC 7601 110 220 330 440 550 SE +/- 3.72, N = 3 488.64 MAX: 28615.16
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Zen 1 - EPYC 7601 0.2204 0.4408 0.6612 0.8816 1.102 SE +/- 0.00385, N = 3 0.97959
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 2K 4K 6K 8K 10K SE +/- 16.50, N = 3 8478
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 30K 60K 90K 120K 150K SE +/- 81.84, N = 3 145528
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 60K 120K 180K 240K 300K SE +/- 353.76, N = 3 280606
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 2K 4K 6K 8K 10K SE +/- 34.23, N = 3 10050
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 40K 80K 120K 160K 200K SE +/- 133.22, N = 3 171188
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU Zen 1 - EPYC 7601 70K 140K 210K 280K 350K SE +/- 188.22, N = 3 331643
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 400 800 1200 1600 2000 SE +/- 0.06, N = 3 2094.21 MIN: 2092.79 / MAX: 2112.41 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 0.5468 1.0936 1.6404 2.1872 2.734 SE +/- 0.00, N = 3 2.43 MIN: 2.39 / MAX: 10.02 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.36, N = 3 181.92 MIN: 171.42 / MAX: 202.33 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.00, N = 3 84.68 MIN: 84.05 / MAX: 93.44 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 6 12 18 24 30 SE +/- 0.03, N = 3 27.01 MIN: 26.86 / MAX: 38.57 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.06, N = 3 16.95 MIN: 16.19 / MAX: 27.98 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.49, N = 3 193.33 MIN: 178.13 / MAX: 252.21 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 3 6 9 12 15 SE +/- 0.00, N = 3 9.1 MIN: 9.04 / MAX: 17.25 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.65, N = 3 169.04 MIN: 141.74 / MAX: 192.16 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Zen 1 - EPYC 7601 12 24 36 48 60 SE +/- 0.05, N = 3 53.47 MIN: 52.68 / MAX: 66.73 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 14 28 42 56 70 SE +/- 0.36, N = 3 61.39
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 1.64, N = 6 176.43
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.40, N = 3 110.45
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 300 600 900 1200 1500 SE +/- 5.55, N = 3 1457.92
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.66, N = 3 226.95
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.35, N = 3 226.37
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 300 600 900 1200 1500 SE +/- 2.60, N = 3 1460.70
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 400 800 1200 1600 2000 SE +/- 3.29, N = 3 1701.37
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 1.29, N = 3 111.90
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.30, N = 3 102.66
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 300 600 900 1200 1500 SE +/- 3.61, N = 3 1200.10
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 1.16, N = 3 121.21
DuckDB Benchmark: IMDB OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 0.9.1 Benchmark: IMDB Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 0.56, N = 3 199.01 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
DuckDB Benchmark: TPC-H Parquet OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 0.9.1 Benchmark: TPC-H Parquet Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.21, N = 3 245.74 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.88, N = 3 76.30
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig Zen 1 - EPYC 7601 160 320 480 640 800 SE +/- 0.57, N = 3 755.02
Timed LLVM Compilation Build System: Ninja OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Ninja Zen 1 - EPYC 7601 90 180 270 360 450 SE +/- 1.49, N = 3 435.05
Timed LLVM Compilation Build System: Unix Makefiles OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Unix Makefiles Zen 1 - EPYC 7601 110 220 330 440 550 SE +/- 1.95, N = 3 529.72
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 19.8.1 Time To Compile Zen 1 - EPYC 7601 80 160 240 320 400 SE +/- 0.64, N = 3 387.65
Timed Gem5 Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 23.0.1 Time To Compile Zen 1 - EPYC 7601 80 160 240 320 400 SE +/- 4.50, N = 3 388.02
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 6.1 Time To Compile Zen 1 - EPYC 7601 9 18 27 36 45 SE +/- 0.10, N = 3 39.79
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 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 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 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 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
OpenFOAM Input: drivaerFastback, Small Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Zen 1 - EPYC 7601 10 20 30 40 50 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 1 - EPYC 7601 30 60 90 120 150 126.19 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 Input: drivaerFastback, Medium Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Zen 1 - EPYC 7601 50 100 150 200 250 231.74 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 1 - EPYC 7601 300 600 900 1200 1500 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
OpenRadioss Model: Chrysler Neon 1M OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Zen 1 - EPYC 7601 110 220 330 440 550 SE +/- 0.62, N = 3 499.30
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 1.77, N = 4 148.08 1. (CXX) g++ options: -O3 -fopenmp
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 Zen 1 - EPYC 7601 80 160 240 320 400 SE +/- 6.02, N = 6 352.69 1. (CXX) g++ options: -O3 -fopenmp
GPAW Input: Carbon Nanotube OpenBenchmarking.org Seconds, Fewer Is Better GPAW 23.6 Input: Carbon Nanotube Zen 1 - EPYC 7601 30 60 90 120 150 SE +/- 0.91, N = 3 142.17 1. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
CloverLeaf Input: clover_bm64_short OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm64_short Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 1.39, N = 3 108.60 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
CloverLeaf Input: clover_bm16 OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm16 Zen 1 - EPYC 7601 200 400 600 800 1000 SE +/- 1.74, N = 3 971.50 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
Xcompact3d Incompact3d Input: input.i3d 193 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Zen 1 - EPYC 7601 9 18 27 36 45 SE +/- 0.22, N = 3 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 Input: X3D-benchmarking input.i3d OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d Zen 1 - EPYC 7601 200 400 600 800 1000 SE +/- 0.24, N = 3 818.05 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
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Zen 1 - EPYC 7601 4 8 12 16 20 SE +/- 0.12, N = 3 15.69
Y-Cruncher Pi Digits To Calculate: 1B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Zen 1 - EPYC 7601 8 16 24 32 40 SE +/- 0.09, N = 3 33.92
Timed MrBayes Analysis Primate Phylogeny Analysis OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 4.88, N = 12 201.18 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
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: CPU-Only Zen 1 - EPYC 7601 16 32 48 64 80 SE +/- 0.35, N = 3 73.00
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Classroom - Compute: CPU-Only Zen 1 - EPYC 7601 40 80 120 160 200 SE +/- 1.40, N = 3 192.80
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only Zen 1 - EPYC 7601 20 40 60 80 100 SE +/- 0.13, N = 3 101.20
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only Zen 1 - EPYC 7601 50 100 150 200 250 SE +/- 0.13, N = 3 247.24
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Barbershop - Compute: CPU-Only Zen 1 - EPYC 7601 170 340 510 680 850 SE +/- 0.52, N = 3 767.15
nginx CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 252 501 692 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 252 535 699 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 6.1 CPU Power Consumption Monitor Zen 1 - EPYC 7601 130 260 390 520 650 Min: 254.27 / Avg: 676.95 / Max: 718.77
Timed LLVM Compilation CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor Zen 1 - EPYC 7601 130 260 390 520 650 Min: 257.35 / Avg: 646.98 / Max: 716.05
Timed LLVM Compilation CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor Zen 1 - EPYC 7601 130 260 390 520 650 Min: 254.39 / Avg: 594.06 / Max: 717.76
Timed Node.js Compilation CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 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 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 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 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 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 10 CPU Power Consumption Monitor Zen 1 - EPYC 7601 120 240 360 480 600 Min: 262.83 / Avg: 640.83 / Max: 704.84
OpenRadioss CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better OpenRadioss 2023.09.15 CPU Power Consumption Monitor Zen 1 - EPYC 7601 120 240 360 480 600 Min: 266.19 / Avg: 628.45 / Max: 689.13
miniBUDE CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better easyWave r34 CPU Power Consumption Monitor Zen 1 - EPYC 7601 100 200 300 400 500 Min: 247.92 / Avg: 525.08 / Max: 591.62
GPAW CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 CPU Power Consumption Monitor Zen 1 - EPYC 7601 120 240 360 480 600 Min: 262.81 / Avg: 690.49 / Max: 703.09
CloverLeaf CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better CloverLeaf 1.3 CPU Power Consumption Monitor Zen 1 - EPYC 7601 110 220 330 440 550 Min: 263.25 / Avg: 593.38 / Max: 633.3
Kripke CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor Zen 1 - EPYC 7601 120 240 360 480 600 Min: 264.43 / Avg: 601.98 / Max: 679.05
NAMD CPU Power Consumption Monitor Min Avg Max 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 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Quicksilver 20230818 CPU Power Consumption Monitor Zen 1 - EPYC 7601 120 240 360 480 600 Min: 258.88 / Avg: 624.15 / Max: 662.04
Y-Cruncher CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed MrBayes Analysis 3.2.7 CPU Power Consumption Monitor Zen 1 - EPYC 7601 130 260 390 520 650 Min: 255.46 / Avg: 673.45 / Max: 711.35
Blender CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor Zen 1 - EPYC 7601 130 260 390 520 650 Min: 263.91 / Avg: 701.51 / Max: 715.33
Embree CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max Zen 1 - EPYC 7601 260 637 710 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor Zen 1 - EPYC 7601 120 240 360 480 600 Min: 227.27 / Avg: 643.82 / Max: 681.92
Xmrig CPU Power Consumption Monitor Min Avg Max 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 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor Zen 1 - EPYC 7601 120 240 360 480 600 Min: 266.23 / Avg: 644.06 / Max: 679.56
Xmrig CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor Zen 1 - EPYC 7601 100 200 300 400 500 Min: 265.39 / Avg: 559.12 / Max: 586.02
Phoronix Test Suite v10.8.4