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 2401063-NE-AMDEPYCZE11 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/2401063-NE-AMDEPYCZE11&grt&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 EPYC 7601 AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads) TYAN B8026T70AE24HR (V1.02.B10 BIOS) AMD 17h 128GB 1000GB INTEL SSDPE2KX010T8 + 280GB INTEL SSDPE21D280GA 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 compress-7zip: Compression Rating compress-7zip: Decompression Rating mt-dgemm: Sustained Floating-Point Rate cassandra: Writes apache: 1000 apache-iotdb: 500 - 100 - 200 - 100 apache-iotdb: 500 - 100 - 200 - 100 apache-iotdb: 500 - 100 - 200 - 400 apache-iotdb: 500 - 100 - 200 - 400 apache-iotdb: 500 - 100 - 500 - 100 apache-iotdb: 500 - 100 - 500 - 100 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 500 - 400 apache-iotdb: 500 - 100 - 800 - 100 apache-iotdb: 500 - 100 - 800 - 100 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 500 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 200 - 100 apache-iotdb: 800 - 100 - 200 - 100 apache-iotdb: 800 - 100 - 200 - 400 apache-iotdb: 800 - 100 - 200 - 400 apache-iotdb: 800 - 100 - 500 - 100 apache-iotdb: 800 - 100 - 500 - 100 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 100 apache-iotdb: 800 - 100 - 800 - 100 apache-iotdb: 800 - 100 - 800 - 400 apache-iotdb: 800 - 100 - 800 - 400 blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Pabellon Barcelona - CPU-Only blender: Barbershop - CPU-Only v-ray: CPU cloverleaf: clover_bm64_short cloverleaf: clover_bm16 duckdb: IMDB duckdb: TPC-H Parquet easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Crown ffmpeg: libx265 - Live ffmpeg: libx265 - Upload ffmpeg: libx265 - Platform ffmpeg: libx265 - Video On Demand gpaw: Carbon Nanotube gromacs: MPI CPU - water_GMX50_bare indigobench: CPU - Supercar indigobench: CPU - Bedroom oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only kripke: lammps: 20k Atoms minibude: OpenMP - BM1 minibude: OpenMP - BM1 minibude: OpenMP - BM2 minibude: OpenMP - BM2 namd: ATPase Simulation - 327,506 Atoms deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream nginx: 500 nginx: 1000 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 openssl: RSA4096 openssl: RSA4096 openssl: SHA256 openssl: SHA512 openssl: AES-128-GCM openssl: AES-256-GCM openssl: ChaCha20 openssl: ChaCha20-Poly1305 openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU 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 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 pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 256 - ResNet-50 quantlib: Multi-Threaded rav1e: 10 rav1e: 6 rav1e: 5 rav1e: 1 memtier-benchmark: Redis - 100 - 1:10 memtier-benchmark: Redis - 100 - 1:5 rocksdb: Rand Read rocksdb: Read While Writing rocksdb: Read Rand Write Rand rocksdb: Update Rand specfem3d: Layered Halfspace specfem3d: Water-layered Halfspace specfem3d: Homogeneous Halfspace specfem3d: Mount St. Helens specfem3d: Tomographic Model speedb: Rand Read speedb: Read While Writing speedb: Read Rand Write Rand speedb: Update Rand svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 4K tensorflow: CPU - 16 - ResNet-50 build-ffmpeg: Time To Compile build-gem5: Time To Compile build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-llvm: Ninja build-llvm: Unix Makefiles mrbayes: Primate Phylogeny Analysis build-nodejs: Time To Compile uvg266: Bosphorus 4K - Medium uvg266: Bosphorus 4K - Very Fast uvg266: Bosphorus 4K - Super Fast uvg266: Bosphorus 4K - Ultra Fast vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster x265: Bosphorus 4K incompact3d: input.i3d 193 Cells Per Direction incompact3d: X3D-benchmarking input.i3d xmrig: Monero - 1M xmrig: Wownero - 1M xmrig: CryptoNight-Femto UPX2 - 1M xmrig: CryptoNight-Heavy - 1M xmrig: KawPow - 1M xmrig: GhostRider - 1M EPYC 7601 126082 136023 3.762393 153313 88228.72 38556749 46.48 38853944 162.64 55722448 81.81 55039355 279.34 60408895 122.22 61779270 401.41 47189787 38.23 47189863 145.62 59180937 79.09 59498447 302.91 61643882 123.21 60202628 493.23 73.03 193.36 101.52 247.45 770.00 20223 105.80 978.18 199.322 250.440 152.991 355.129 21.8202 18.4002 58.34 10.38 21.00 20.99 143.424 1.996 8.607 4.006 0.48 184352267 13.749 357.456 14.298 355.946 14.238 0.97403 260.1636 61.4111 93.0253 171.8486 143.8266 111.0498 10.9118 1448.3126 71.0645 224.5209 71.7820 222.2382 10.9721 1444.5930 9.2958 1695.4008 145.5189 109.7383 155.2477 102.9609 13.2941 1200.0420 134.5223 118.7130 102247.14 98966.93 41.846127 123.21923 226.93585 1180.3543 498.82 4520.9 293636.7 27295403453 8343963373 97808988750 89867483183 47873581783 30304478457 3.82 2094.38 12968.70 2.44 43.79 182.44 377.39 84.70 296.71 26.93 470.42 16.98 41.47 192.59 877.95 9.09 188.68 169.37 149.82 53.35 2.59742 2.46713 4.15603 5.27837 5.23497 98.2406 8477 146133 281119 10070 170914 331849 26.36 21.40 64508.5 6.968 2.948 2.245 0.566 1247481.47 1159703.10 83065366 3389791 1511932 290567 78.302248421 74.738858894 38.688352853 30.019220206 30.283106275 86210286 6114827 1434755 201410 68.380 71.056 26.513 3.039 9.90 39.870 394.217 76.325 755.324 437.561 532.477 193.368 388.767 8.66 22.20 23.36 27.27 3.31 6.478 14.57 37.5522614 1279.59235 6890.3 10393.0 7092.5 6932.6 6984.4 1104.3 OpenBenchmarking.org
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating EPYC 7601 30K 60K 90K 120K 150K SE +/- 597.93, N = 3 126082 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 EPYC 7601 30K 60K 90K 120K 150K SE +/- 1266.83, N = 3 136023 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating EPYC 7601 50 100 150 200 250 215.04
7-Zip Compression CPU Power Consumption Monitor Min Avg Max EPYC 7601 253 633 714 OpenBenchmarking.org Watts, Fewer Is Better 7-Zip Compression 22.01 CPU Power Consumption Monitor 200 400 600 800 1000
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7601 0.8465 1.693 2.5395 3.386 4.2325 SE +/- 0.067646, N = 15 3.762393 1. (CC) gcc options: -O3 -march=native -fopenmp
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7601 0.0014 0.0028 0.0042 0.0056 0.007 0.006
ACES DGEMM CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 615 677 OpenBenchmarking.org Watts, Fewer Is Better ACES DGEMM 1.0 CPU Power Consumption Monitor 200 400 600 800 1000
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes EPYC 7601 30K 60K 90K 120K 150K SE +/- 878.30, N = 3 153313
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s Per Watt, More Is Better Apache Cassandra 4.1.3 Test: Writes EPYC 7601 60 120 180 240 300 257.31
Apache Cassandra CPU Power Consumption Monitor Min Avg Max EPYC 7601 255 596 719 OpenBenchmarking.org Watts, Fewer Is Better Apache Cassandra 4.1.3 CPU Power Consumption Monitor 200 400 600 800 1000
Apache HTTP Server Concurrent Requests: 1000 OpenBenchmarking.org Requests Per Second, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 EPYC 7601 20K 40K 60K 80K 100K SE +/- 364.41, N = 3 88228.72 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
Apache HTTP Server Concurrent Requests: 1000 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Apache HTTP Server 2.4.56 Concurrent Requests: 1000 EPYC 7601 30 60 90 120 150 133.43
Apache HTTP Server CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 661 707 OpenBenchmarking.org Watts, Fewer Is Better Apache HTTP Server 2.4.56 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 EPYC 7601 8M 16M 24M 32M 40M SE +/- 250473.81, N = 3 38556749
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 EPYC 7601 11 22 33 44 55 SE +/- 0.60, N = 3 46.48 MAX: 13899.69
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 261 386 705 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 EPYC 7601 8M 16M 24M 32M 40M SE +/- 379243.48, N = 3 38853944
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 EPYC 7601 40 80 120 160 200 SE +/- 2.77, N = 3 162.64 MAX: 27310.19
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 265 388 688 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 EPYC 7601 12M 24M 36M 48M 60M SE +/- 91826.95, N = 3 55722448
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 EPYC 7601 20 40 60 80 100 SE +/- 0.47, N = 3 81.81 MAX: 12685.84
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 253 453 696 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 EPYC 7601 12M 24M 36M 48M 60M SE +/- 725985.88, N = 3 55039355
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 EPYC 7601 60 120 180 240 300 SE +/- 5.14, N = 3 279.34 MAX: 29130.29
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 253 454 699 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 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 EPYC 7601 13M 26M 39M 52M 65M SE +/- 301284.23, N = 3 60408895
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 EPYC 7601 30 60 90 120 150 SE +/- 0.52, N = 3 122.22 MAX: 11435.4
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 252 498 698 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 EPYC 7601 13M 26M 39M 52M 65M SE +/- 497201.21, N = 3 61779270
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 EPYC 7601 90 180 270 360 450 SE +/- 7.91, N = 3 401.41 MAX: 27863.73
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 252 497 696 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 EPYC 7601 10M 20M 30M 40M 50M SE +/- 185384.87, N = 3 47189787
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 EPYC 7601 9 18 27 36 45 SE +/- 0.06, N = 3 38.23 MAX: 23968.07
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 253 419 706 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 EPYC 7601 10M 20M 30M 40M 50M SE +/- 137590.10, N = 3 47189863
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 EPYC 7601 30 60 90 120 150 SE +/- 1.72, N = 3 145.62 MAX: 28352.35
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 253 424 700 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 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 EPYC 7601 13M 26M 39M 52M 65M SE +/- 203912.87, N = 3 59180937
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 EPYC 7601 20 40 60 80 100 SE +/- 0.22, N = 3 79.09 MAX: 23926.25
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 252 499 690 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 EPYC 7601 13M 26M 39M 52M 65M SE +/- 789480.85, N = 3 59498447
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 EPYC 7601 70 140 210 280 350 SE +/- 7.59, N = 3 302.91 MAX: 28097.51
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 253 494 693 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 EPYC 7601 13M 26M 39M 52M 65M SE +/- 444016.97, N = 3 61643882
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 EPYC 7601 30 60 90 120 150 SE +/- 0.87, N = 3 123.21 MAX: 24077.59
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 252 536 711 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Apache IoTDB Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 OpenBenchmarking.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 EPYC 7601 13M 26M 39M 52M 65M SE +/- 476066.06, N = 3 60202628
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 EPYC 7601 110 220 330 440 550 SE +/- 3.92, N = 3 493.23 MAX: 28692.29
Apache IoTDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 254 527 710 OpenBenchmarking.org Watts, Fewer Is Better Apache IoTDB 1.2 CPU Power Consumption Monitor 200 400 600 800 1000
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: CPU-Only EPYC 7601 16 32 48 64 80 SE +/- 0.24, N = 3 73.03
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 675 715 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Classroom - Compute: CPU-Only EPYC 7601 40 80 120 160 200 SE +/- 0.51, N = 3 193.36
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 696 713 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only EPYC 7601 20 40 60 80 100 SE +/- 0.40, N = 3 101.52
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 682 716 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only EPYC 7601 50 100 150 200 250 SE +/- 0.16, N = 3 247.45
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 699 714 OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Barbershop - Compute: CPU-Only EPYC 7601 170 340 510 680 850 SE +/- 0.16, N = 3 770.00
Blender CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Blender 4.0 CPU Power Consumption Monitor EPYC 7601 130 260 390 520 650 Min: 263.43 / Avg: 701.62 / Max: 714.73
Chaos Group V-RAY Mode: CPU OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 5.02 Mode: CPU EPYC 7601 4K 8K 12K 16K 20K SE +/- 36.50, N = 3 20223
Chaos Group V-RAY Mode: CPU OpenBenchmarking.org vsamples Per Watt, More Is Better Chaos Group V-RAY 5.02 Mode: CPU EPYC 7601 8 16 24 32 40 34.60
Chaos Group V-RAY CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 585 717 OpenBenchmarking.org Watts, Fewer Is Better Chaos Group V-RAY 5.02 CPU Power Consumption Monitor 200 400 600 800 1000
CloverLeaf Input: clover_bm64_short OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm64_short EPYC 7601 20 40 60 80 100 SE +/- 0.56, N = 3 105.80 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
CloverLeaf CPU Power Consumption Monitor Min Avg Max EPYC 7601 267 587 646 OpenBenchmarking.org Watts, Fewer Is Better CloverLeaf 1.3 CPU Power Consumption Monitor 200 400 600 800 1000
CloverLeaf Input: clover_bm16 OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm16 EPYC 7601 200 400 600 800 1000 SE +/- 2.36, N = 3 978.18 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
CloverLeaf CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better CloverLeaf 1.3 CPU Power Consumption Monitor EPYC 7601 110 220 330 440 550 Min: 263.01 / Avg: 591.37 / Max: 637.79
CPU Power Consumption Monitor Phoronix Test Suite System Monitoring OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring EPYC 7601 130 260 390 520 650 Min: 121.04 / Avg: 559.03 / Max: 719.64
DuckDB Benchmark: IMDB OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 0.9.1 Benchmark: IMDB EPYC 7601 40 80 120 160 200 SE +/- 0.58, N = 3 199.32 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
DuckDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 204.9 399.4 590.7 OpenBenchmarking.org Watts, Fewer Is Better DuckDB 0.9.1 CPU Power Consumption Monitor 160 320 480 640 800
DuckDB Benchmark: TPC-H Parquet OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 0.9.1 Benchmark: TPC-H Parquet EPYC 7601 50 100 150 200 250 SE +/- 0.51, N = 3 250.44 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
DuckDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 258.0 315.2 588.8 OpenBenchmarking.org Watts, Fewer Is Better DuckDB 0.9.1 CPU Power Consumption Monitor 160 320 480 640 800
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 EPYC 7601 30 60 90 120 150 SE +/- 2.54, N = 9 152.99 1. (CXX) g++ options: -O3 -fopenmp
easyWave CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better easyWave r34 CPU Power Consumption Monitor EPYC 7601 110 220 330 440 550 Min: 249.6 / Avg: 522.07 / Max: 595.64
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 EPYC 7601 80 160 240 320 400 SE +/- 4.29, N = 9 355.13 1. (CXX) g++ options: -O3 -fopenmp
easyWave CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better easyWave r34 CPU Power Consumption Monitor EPYC 7601 110 220 330 440 550 Min: 258.39 / Avg: 525.08 / Max: 599.48
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7601 5 10 15 20 25 SE +/- 0.06, N = 3 21.82 MIN: 21.6 / MAX: 22.27
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 EPYC 7601 0.0077 0.0154 0.0231 0.0308 0.0385 0.034
Embree CPU Power Consumption Monitor Min Avg Max EPYC 7601 265 649 712 OpenBenchmarking.org Watts, Fewer Is Better Embree 4.3 CPU Power Consumption Monitor 200 400 600 800 1000
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown EPYC 7601 5 10 15 20 25 SE +/- 0.02, N = 3 18.40 MIN: 18.17 / MAX: 18.71
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown EPYC 7601 0.0063 0.0126 0.0189 0.0252 0.0315 0.028
Embree CPU Power Consumption Monitor Min Avg Max EPYC 7601 265 660 711 OpenBenchmarking.org Watts, Fewer Is Better Embree 4.3 CPU Power Consumption Monitor 200 400 600 800 1000
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live EPYC 7601 13 26 39 52 65 SE +/- 0.07, N = 3 58.34 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Live EPYC 7601 0.0396 0.0792 0.1188 0.1584 0.198 0.176
FFmpeg CPU Power Consumption Monitor Min Avg Max EPYC 7601 256.6 331.4 522.3 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 130 260 390 520 650
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Upload EPYC 7601 3 6 9 12 15 SE +/- 0.01, N = 3 10.38 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 EPYC 7601 0.007 0.014 0.021 0.028 0.035 0.031
FFmpeg CPU Power Consumption Monitor Min Avg Max EPYC 7601 252.8 340.3 554.4 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 140 280 420 560 700
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform EPYC 7601 5 10 15 20 25 SE +/- 0.01, N = 3 21.00 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Platform EPYC 7601 0.0135 0.027 0.0405 0.054 0.0675 0.06
FFmpeg CPU Power Consumption Monitor Min Avg Max EPYC 7601 179.7 349.1 507.6 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 130 260 390 520 650
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand EPYC 7601 5 10 15 20 25 SE +/- 0.01, N = 3 20.99 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS Per Watt, More Is Better FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand EPYC 7601 0.0135 0.027 0.0405 0.054 0.0675 0.06
FFmpeg CPU Power Consumption Monitor Min Avg Max EPYC 7601 201.1 349.5 507.7 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 6.1 CPU Power Consumption Monitor 130 260 390 520 650
GPAW Input: Carbon Nanotube OpenBenchmarking.org Seconds, Fewer Is Better GPAW 23.6 Input: Carbon Nanotube EPYC 7601 30 60 90 120 150 SE +/- 1.55, N = 5 143.42 1. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
GPAW CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 666 715 OpenBenchmarking.org Watts, Fewer Is Better GPAW 23.6 CPU Power Consumption Monitor 200 400 600 800 1000
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare EPYC 7601 0.4491 0.8982 1.3473 1.7964 2.2455 SE +/- 0.021, N = 3 1.996 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 EPYC 7601 0.0007 0.0014 0.0021 0.0028 0.0035 0.003
GROMACS CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 668 709 OpenBenchmarking.org Watts, Fewer Is Better GROMACS 2023 CPU Power Consumption Monitor 200 400 600 800 1000
IndigoBench Acceleration: CPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar EPYC 7601 2 4 6 8 10 SE +/- 0.015, N = 3 8.607
IndigoBench Acceleration: CPU - Scene: Supercar OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Supercar EPYC 7601 0.0029 0.0058 0.0087 0.0116 0.0145 0.013
IndigoBench CPU Power Consumption Monitor Min Avg Max EPYC 7601 261 667 718 OpenBenchmarking.org Watts, Fewer Is Better IndigoBench 4.4 CPU Power Consumption Monitor 200 400 600 800 1000
IndigoBench Acceleration: CPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom EPYC 7601 0.9014 1.8028 2.7042 3.6056 4.507 SE +/- 0.007, N = 3 4.006
IndigoBench Acceleration: CPU - Scene: Bedroom OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom EPYC 7601 0.0014 0.0028 0.0042 0.0056 0.007 0.006
IndigoBench CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 663 717 OpenBenchmarking.org Watts, Fewer Is Better IndigoBench 4.4 CPU Power Consumption Monitor 200 400 600 800 1000
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only 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 EPYC 7601 0.0002 0.0004 0.0006 0.0008 0.001 0.001
Intel Open Image Denoise CPU Power Consumption Monitor Min Avg Max EPYC 7601 265 659 700 OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 2.1 CPU Power Consumption Monitor 200 400 600 800 1000
Kripke OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.6 EPYC 7601 40M 80M 120M 160M 200M SE +/- 2458810.58, N = 3 184352267 1. (CXX) g++ options: -O3 -fopenmp -ldl
Kripke OpenBenchmarking.org Throughput FoM Per Watt, More Is Better Kripke 1.2.6 EPYC 7601 60K 120K 180K 240K 300K 287085.20
Kripke CPU Power Consumption Monitor Min Avg Max EPYC 7601 266 642 710 OpenBenchmarking.org Watts, Fewer Is Better Kripke 1.2.6 CPU Power Consumption Monitor 200 400 600 800 1000
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms EPYC 7601 4 8 12 16 20 SE +/- 0.05, N = 3 13.75 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 EPYC 7601 0.0045 0.009 0.0135 0.018 0.0225 0.02
LAMMPS Molecular Dynamics Simulator CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better LAMMPS Molecular Dynamics Simulator 23Jun2022 CPU Power Consumption Monitor EPYC 7601 120 240 360 480 600 Min: 264.67 / Avg: 689.74 / Max: 702.54
Meta Performance Per Watts Performance Per Watts OpenBenchmarking.org Performance Per Watts, More Is Better Meta Performance Per Watts Performance Per Watts EPYC 7601 600 1200 1800 2400 3000 2564.49
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 EPYC 7601 80 160 240 320 400 SE +/- 0.39, N = 3 357.46 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 EPYC 7601 4 8 12 16 20 SE +/- 0.02, N = 3 14.30 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 EPYC 7601 0.005 0.01 0.015 0.02 0.025 0.022
miniBUDE CPU Power Consumption Monitor Min Avg Max EPYC 7601 266 659 704 OpenBenchmarking.org Watts, Fewer Is Better miniBUDE 20210901 CPU Power Consumption Monitor 200 400 600 800 1000
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 EPYC 7601 80 160 240 320 400 SE +/- 0.42, N = 3 355.95 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 EPYC 7601 4 8 12 16 20 SE +/- 0.02, N = 3 14.24 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org Billion Interactions/s Per Watt, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 EPYC 7601 0.0047 0.0094 0.0141 0.0188 0.0235 0.021
miniBUDE CPU Power Consumption Monitor Min Avg Max EPYC 7601 264 676 704 OpenBenchmarking.org Watts, Fewer Is Better miniBUDE 20210901 CPU Power Consumption Monitor 200 400 600 800 1000
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7601 0.2192 0.4384 0.6576 0.8768 1.096 SE +/- 0.00114, N = 3 0.97403
NAMD CPU Power Consumption Monitor Min Avg Max EPYC 7601 264 663 713 OpenBenchmarking.org Watts, Fewer Is Better NAMD 2.14 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream EPYC 7601 60 120 180 240 300 SE +/- 1.67, N = 3 260.16
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 EPYC 7601 14 28 42 56 70 SE +/- 0.40, N = 3 61.41
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 556 711 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream EPYC 7601 20 40 60 80 100 SE +/- 0.41, N = 3 93.03
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 EPYC 7601 40 80 120 160 200 SE +/- 0.69, N = 3 171.85
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 595 710 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream EPYC 7601 30 60 90 120 150 SE +/- 1.14, N = 3 143.83
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 EPYC 7601 20 40 60 80 100 SE +/- 0.90, N = 3 111.05
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 268 634 713 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: 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 EPYC 7601 3 6 9 12 15 SE +/- 0.10, N = 3 10.91
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 EPYC 7601 300 600 900 1200 1500 SE +/- 12.42, N = 3 1448.31
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 261 564 712 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream EPYC 7601 16 32 48 64 80 SE +/- 0.58, N = 3 71.06
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 EPYC 7601 50 100 150 200 250 SE +/- 1.65, N = 3 224.52
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 258 630 711 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: CV 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 EPYC 7601 16 32 48 64 80 SE +/- 0.17, N = 3 71.78
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 EPYC 7601 50 100 150 200 250 SE +/- 0.44, N = 3 222.24
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 631 709 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream EPYC 7601 3 6 9 12 15 SE +/- 0.02, N = 3 10.97
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 EPYC 7601 300 600 900 1200 1500 SE +/- 5.15, N = 3 1444.59
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 563 712 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream EPYC 7601 3 6 9 12 15 SE +/- 0.0505, N = 3 9.2958
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 EPYC 7601 400 800 1200 1600 2000 SE +/- 7.60, N = 3 1695.40
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 258 582 700 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream EPYC 7601 30 60 90 120 150 SE +/- 0.39, N = 3 145.52
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 EPYC 7601 20 40 60 80 100 SE +/- 0.26, N = 3 109.74
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 EPYC 7601 30 60 90 120 150 SE +/- 0.33, N = 3 155.25
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 EPYC 7601 20 40 60 80 100 SE +/- 0.23, N = 3 102.96
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 635 709 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: 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 EPYC 7601 3 6 9 12 15 SE +/- 0.06, N = 3 13.29
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 EPYC 7601 300 600 900 1200 1500 SE +/- 3.77, N = 3 1200.04
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 440 713 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream EPYC 7601 30 60 90 120 150 SE +/- 0.35, N = 3 134.52
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 EPYC 7601 30 60 90 120 150 SE +/- 0.34, N = 3 118.71
Neural Magic DeepSparse CPU Power Consumption Monitor Min Avg Max EPYC 7601 261 564 712 OpenBenchmarking.org Watts, Fewer Is Better Neural Magic DeepSparse 1.6 CPU Power Consumption Monitor 200 400 600 800 1000
nginx Connections: 500 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 500 EPYC 7601 20K 40K 60K 80K 100K SE +/- 281.84, N = 3 102247.14 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 EPYC 7601 30 60 90 120 150 151.50
nginx CPU Power Consumption Monitor Min Avg Max EPYC 7601 241 675 712 OpenBenchmarking.org Watts, Fewer Is Better nginx 1.23.2 CPU Power Consumption Monitor 200 400 600 800 1000
nginx Connections: 1000 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.23.2 Connections: 1000 EPYC 7601 20K 40K 60K 80K 100K SE +/- 581.17, N = 3 98966.93 1. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2
nginx Connections: 1000 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.23.2 Connections: 1000 EPYC 7601 30 60 90 120 150 146.51
nginx CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 675 714 OpenBenchmarking.org Watts, Fewer Is Better nginx 1.23.2 CPU Power Consumption Monitor 200 400 600 800 1000
OpenFOAM Input: drivaerFastback, Small Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time EPYC 7601 10 20 30 40 50 41.85 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 EPYC 7601 30 60 90 120 150 123.22 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 657 697 OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 10 CPU Power Consumption Monitor 200 400 600 800 1000
OpenFOAM Input: drivaerFastback, Medium Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time EPYC 7601 50 100 150 200 250 226.94 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 EPYC 7601 300 600 900 1200 1500 1180.35 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 10 CPU Power Consumption Monitor EPYC 7601 120 240 360 480 600 Min: 264.52 / Avg: 640.81 / Max: 706.65
OpenRadioss Model: Chrysler Neon 1M OpenBenchmarking.org Seconds, Fewer Is Better OpenRadioss 2023.09.15 Model: Chrysler Neon 1M EPYC 7601 110 220 330 440 550 SE +/- 1.47, N = 3 498.82
OpenRadioss CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better OpenRadioss 2023.09.15 CPU Power Consumption Monitor EPYC 7601 120 240 360 480 600 Min: 266.18 / Avg: 627.09 / Max: 692.76
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 EPYC 7601 1000 2000 3000 4000 5000 SE +/- 20.79, N = 3 4520.9 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.1 Algorithm: RSA4096 EPYC 7601 60K 120K 180K 240K 300K SE +/- 943.05, N = 3 293636.7 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: RSA4096 EPYC 7601 90 180 270 360 450 432.33
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7601 259 679 713 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA256 EPYC 7601 6000M 12000M 18000M 24000M 30000M SE +/- 33884690.29, N = 3 27295403453 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA256 EPYC 7601 8M 16M 24M 32M 40M 39173939.34
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7601 265 697 715 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: SHA512 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: SHA512 EPYC 7601 2000M 4000M 6000M 8000M 10000M SE +/- 14339737.74, N = 3 8343963373 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: SHA512 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: SHA512 EPYC 7601 3M 6M 9M 12M 15M 11949440.21
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7601 264 698 712 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: AES-128-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-128-GCM EPYC 7601 20000M 40000M 60000M 80000M 100000M SE +/- 326361512.63, N = 3 97808988750 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 EPYC 7601 30M 60M 90M 120M 150M 139960512.85
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7601 264 699 713 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: AES-256-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM EPYC 7601 20000M 40000M 60000M 80000M 100000M SE +/- 261314502.58, N = 3 89867483183 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: AES-256-GCM OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: AES-256-GCM EPYC 7601 30M 60M 90M 120M 150M 128779763.99
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 698 714 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: ChaCha20 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 EPYC 7601 10000M 20000M 30000M 40000M 50000M SE +/- 19889425.87, N = 3 47873581783 1. (CC) gcc options: -pthread -m64 -O3 -ldl
OpenSSL Algorithm: ChaCha20 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.1 Algorithm: ChaCha20 EPYC 7601 15M 30M 45M 60M 75M 69981779.21
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 684 710 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenSSL Algorithm: ChaCha20-Poly1305 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 EPYC 7601 6000M 12000M 18000M 24000M 30000M SE +/- 33396892.07, N = 3 30304478457 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 EPYC 7601 9M 18M 27M 36M 45M 44232442.1
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7601 265 685 713 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.1 CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU 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: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU EPYC 7601 400 800 1200 1600 2000 SE +/- 0.19, N = 3 2094.38 MIN: 2092.56 / MAX: 2107.43 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 598 661 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU EPYC 7601 3K 6K 9K 12K 15K SE +/- 41.63, N = 3 12968.70 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 EPYC 7601 0.549 1.098 1.647 2.196 2.745 SE +/- 0.01, N = 3 2.44 MIN: 2.4 / MAX: 10.4 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 630 668 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU EPYC 7601 10 20 30 40 50 SE +/- 0.14, N = 3 43.79 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 EPYC 7601 40 80 120 160 200 SE +/- 0.54, N = 3 182.44 MIN: 171.2 / MAX: 204.2 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 669 709 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU EPYC 7601 80 160 240 320 400 SE +/- 0.04, N = 3 377.39 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 EPYC 7601 20 40 60 80 100 SE +/- 0.01, N = 3 84.70 MIN: 84.34 / MAX: 93.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7601 261 607 648 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU EPYC 7601 60 120 180 240 300 SE +/- 0.08, N = 3 296.71 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 EPYC 7601 6 12 18 24 30 SE +/- 0.01, N = 3 26.93 MIN: 26.82 / MAX: 37.14 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7601 261 616 658 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU EPYC 7601 100 200 300 400 500 SE +/- 1.69, N = 3 470.42 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 EPYC 7601 4 8 12 16 20 SE +/- 0.06, N = 3 16.98 MIN: 16.32 / MAX: 31.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 662 707 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU EPYC 7601 9 18 27 36 45 SE +/- 0.20, N = 3 41.47 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 EPYC 7601 40 80 120 160 200 SE +/- 0.95, N = 3 192.59 MIN: 169.23 / MAX: 247.32 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 665 707 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU EPYC 7601 200 400 600 800 1000 SE +/- 0.47, N = 3 877.95 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 EPYC 7601 3 6 9 12 15 SE +/- 0.00, N = 3 9.09 MIN: 9.03 / MAX: 17.89 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 604 643 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU EPYC 7601 40 80 120 160 200 SE +/- 0.20, N = 3 188.68 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 EPYC 7601 40 80 120 160 200 SE +/- 0.18, N = 3 169.37 MIN: 138.88 / MAX: 192.1 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 672 710 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU EPYC 7601 30 60 90 120 150 SE +/- 0.12, N = 3 149.82 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 EPYC 7601 12 24 36 48 60 SE +/- 0.04, N = 3 53.35 MIN: 52.66 / MAX: 66.86 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 616 670 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2023.2.dev CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time EPYC 7601 0.5844 1.1688 1.7532 2.3376 2.922 SE +/- 0.00623, N = 3 2.59742
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 EPYC 7601 0.0009 0.0018 0.0027 0.0036 0.0045 0.004
OSPRay CPU Power Consumption Monitor Min Avg Max EPYC 7601 264 623 711 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time EPYC 7601 0.5551 1.1102 1.6653 2.2204 2.7755 SE +/- 0.01201, N = 3 2.46713
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 EPYC 7601 0.0009 0.0018 0.0027 0.0036 0.0045 0.004
OSPRay CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 617 710 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time EPYC 7601 0.9351 1.8702 2.8053 3.7404 4.6755 SE +/- 0.00653, N = 3 4.15603
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 EPYC 7601 0.0016 0.0032 0.0048 0.0064 0.008 0.007
OSPRay CPU Power Consumption Monitor Min Avg Max EPYC 7601 261 632 708 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time EPYC 7601 1.1876 2.3752 3.5628 4.7504 5.938 SE +/- 0.00806, N = 3 5.27837
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 EPYC 7601 0.0018 0.0036 0.0054 0.0072 0.009 0.008
OSPRay CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 680 701 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: particle_volume/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time EPYC 7601 1.1779 2.3558 3.5337 4.7116 5.8895 SE +/- 0.00820, N = 3 5.23497
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 EPYC 7601 0.0018 0.0036 0.0054 0.0072 0.009 0.008
OSPRay CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 623 703 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Benchmark: particle_volume/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time EPYC 7601 20 40 60 80 100 SE +/- 0.37, N = 3 98.24
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 EPYC 7601 0.0365 0.073 0.1095 0.146 0.1825 0.162
OSPRay CPU Power Consumption Monitor Min Avg Max EPYC 7601 264 608 699 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.12 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU EPYC 7601 2K 4K 6K 8K 10K SE +/- 7.00, N = 3 8477
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 578 714 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 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 EPYC 7601 30K 60K 90K 120K 150K SE +/- 162.97, N = 3 146133
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7601 264 629 715 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 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 EPYC 7601 60K 120K 180K 240K 300K SE +/- 171.33, N = 3 281119
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7601 261 664 715 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU EPYC 7601 2K 4K 6K 8K 10K SE +/- 41.15, N = 3 10070
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7601 264 581 715 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU EPYC 7601 40K 80K 120K 160K 200K SE +/- 353.87, N = 3 170914
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 639 714 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU EPYC 7601 70K 140K 210K 280K 350K SE +/- 39.68, N = 3 331849
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 669 715 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.13 CPU Power Consumption Monitor 200 400 600 800 1000
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 EPYC 7601 6 12 18 24 30 SE +/- 0.24, N = 3 26.36 MIN: 12.3 / MAX: 27.98
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 EPYC 7601 0.0097 0.0194 0.0291 0.0388 0.0485 0.043
PyTorch CPU Power Consumption Monitor Min Avg Max EPYC 7601 259 617 697 OpenBenchmarking.org Watts, Fewer Is Better PyTorch 2.1 CPU Power Consumption Monitor 200 400 600 800 1000
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 EPYC 7601 5 10 15 20 25 SE +/- 0.26, N = 3 21.40 MIN: 12 / MAX: 22.24
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 EPYC 7601 0.0074 0.0148 0.0222 0.0296 0.037 0.033
PyTorch CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 652 698 OpenBenchmarking.org Watts, Fewer Is Better PyTorch 2.1 CPU Power Consumption Monitor 200 400 600 800 1000
QuantLib Configuration: Multi-Threaded OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.32 Configuration: Multi-Threaded EPYC 7601 14K 28K 42K 56K 70K SE +/- 155.83, N = 3 64508.5 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 EPYC 7601 20 40 60 80 100 96.81
QuantLib CPU Power Consumption Monitor Min Avg Max EPYC 7601 258 666 715 OpenBenchmarking.org Watts, Fewer Is Better QuantLib 1.32 CPU Power Consumption Monitor 200 400 600 800 1000
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 10 EPYC 7601 2 4 6 8 10 SE +/- 0.051, N = 3 6.968
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 10 EPYC 7601 0.0045 0.009 0.0135 0.018 0.0225 0.02
rav1e CPU Power Consumption Monitor Min Avg Max EPYC 7601 253.6 349.3 376.3 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.7 CPU Power Consumption Monitor 100 200 300 400 500
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 6 EPYC 7601 0.6633 1.3266 1.9899 2.6532 3.3165 SE +/- 0.023, N = 3 2.948
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 6 EPYC 7601 0.0018 0.0036 0.0054 0.0072 0.009 0.008
rav1e CPU Power Consumption Monitor Min Avg Max EPYC 7601 187.9 370.1 417.3 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.7 CPU Power Consumption Monitor 110 220 330 440 550
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 5 EPYC 7601 0.5051 1.0102 1.5153 2.0204 2.5255 SE +/- 0.010, N = 3 2.245
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 5 EPYC 7601 0.0014 0.0028 0.0042 0.0056 0.007 0.006
rav1e CPU Power Consumption Monitor Min Avg Max EPYC 7601 265.8 372.0 500.9 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.7 CPU Power Consumption Monitor 130 260 390 520 650
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.7 Speed: 1 EPYC 7601 0.1274 0.2548 0.3822 0.5096 0.637 SE +/- 0.001, N = 3 0.566
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second Per Watt, More Is Better rav1e 0.7 Speed: 1 EPYC 7601 0.0002 0.0004 0.0006 0.0008 0.001 0.001
rav1e CPU Power Consumption Monitor Min Avg Max EPYC 7601 260.9 423.5 543.9 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.7 CPU Power Consumption Monitor 140 280 420 560 700
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 EPYC 7601 300K 600K 900K 1200K 1500K SE +/- 10426.11, N = 3 1247481.47 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 OpenBenchmarking.org Ops/sec Per Watt, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 EPYC 7601 400 800 1200 1600 2000 1933.83
Redis 7.0.12 + memtier_benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 645 714 OpenBenchmarking.org Watts, Fewer Is Better Redis 7.0.12 + memtier_benchmark 2.0 CPU Power Consumption Monitor 200 400 600 800 1000
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 EPYC 7601 200K 400K 600K 800K 1000K SE +/- 8378.54, N = 3 1159703.10 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 EPYC 7601 400 800 1200 1600 2000 1802.37
Redis 7.0.12 + memtier_benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7601 272 643 715 OpenBenchmarking.org Watts, Fewer Is Better Redis 7.0.12 + memtier_benchmark 2.0 CPU Power Consumption Monitor 200 400 600 800 1000
RocksDB Test: Random Read OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Random Read EPYC 7601 20M 40M 60M 80M 100M SE +/- 381556.63, N = 3 83065366 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Random Read OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Random Read EPYC 7601 30K 60K 90K 120K 150K 122252.45
RocksDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 679 712 OpenBenchmarking.org Watts, Fewer Is Better RocksDB 8.0 CPU Power Consumption Monitor 200 400 600 800 1000
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Read While Writing EPYC 7601 700K 1400K 2100K 2800K 3500K SE +/- 24594.27, N = 3 3389791 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Read While Writing EPYC 7601 1100 2200 3300 4400 5500 4987.78
RocksDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 680 712 OpenBenchmarking.org Watts, Fewer Is Better RocksDB 8.0 CPU Power Consumption Monitor 200 400 600 800 1000
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Read Random Write Random EPYC 7601 300K 600K 900K 1200K 1500K SE +/- 3730.48, N = 3 1511932 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Read Random Write Random EPYC 7601 500 1000 1500 2000 2500 2251.90
RocksDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 671 712 OpenBenchmarking.org Watts, Fewer Is Better RocksDB 8.0 CPU Power Consumption Monitor 200 400 600 800 1000
RocksDB Test: Update Random OpenBenchmarking.org Op/s, More Is Better RocksDB 8.0 Test: Update Random EPYC 7601 60K 120K 180K 240K 300K SE +/- 255.89, N = 3 290567 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Update Random OpenBenchmarking.org Op/s Per Watt, More Is Better RocksDB 8.0 Test: Update Random EPYC 7601 110 220 330 440 550 501.43
RocksDB CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 579 638 OpenBenchmarking.org Watts, Fewer Is Better RocksDB 8.0 CPU Power Consumption Monitor 200 400 600 800 1000
SPECFEM3D Model: Layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace EPYC 7601 20 40 60 80 100 SE +/- 0.22, N = 3 78.30 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
SPECFEM3D CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 668 710 OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
SPECFEM3D Model: Water-layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Water-layered Halfspace EPYC 7601 20 40 60 80 100 SE +/- 0.26, N = 3 74.74 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
SPECFEM3D CPU Power Consumption Monitor Min Avg Max EPYC 7601 266 651 706 OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
SPECFEM3D Model: Homogeneous Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Homogeneous Halfspace EPYC 7601 9 18 27 36 45 SE +/- 0.55, N = 3 38.69 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
SPECFEM3D CPU Power Consumption Monitor Min Avg Max EPYC 7601 264 650 715 OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
SPECFEM3D Model: Mount St. Helens OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens EPYC 7601 7 14 21 28 35 SE +/- 0.22, N = 3 30.02 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
SPECFEM3D CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 636 711 OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
SPECFEM3D Model: Tomographic Model OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Tomographic Model EPYC 7601 7 14 21 28 35 SE +/- 0.10, N = 3 30.28 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
SPECFEM3D CPU Power Consumption Monitor Min Avg Max EPYC 7601 262 640 715 OpenBenchmarking.org Watts, Fewer Is Better SPECFEM3D 4.0 CPU Power Consumption Monitor 200 400 600 800 1000
Speedb Test: Random Read OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Random Read EPYC 7601 20M 40M 60M 80M 100M SE +/- 884018.85, N = 3 86210286 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 EPYC 7601 30K 60K 90K 120K 150K 126723.28
Speedb CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 680 714 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 200 400 600 800 1000
Speedb Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read While Writing EPYC 7601 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 64578.15, N = 5 6114827 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Read While Writing OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Read While Writing EPYC 7601 2K 4K 6K 8K 10K 9032.65
Speedb CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 677 714 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 200 400 600 800 1000
Speedb Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read Random Write Random EPYC 7601 300K 600K 900K 1200K 1500K SE +/- 2860.74, N = 3 1434755 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Read Random Write Random OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Read Random Write Random EPYC 7601 500 1000 1500 2000 2500 2257.83
Speedb CPU Power Consumption Monitor Min Avg Max EPYC 7601 269 635 710 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 200 400 600 800 1000
Speedb Test: Update Random OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Update Random EPYC 7601 40K 80K 120K 160K 200K SE +/- 300.37, N = 3 201410 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Update Random OpenBenchmarking.org Op/s Per Watt, More Is Better Speedb 2.7 Test: Update Random EPYC 7601 90 180 270 360 450 395.38
Speedb CPU Power Consumption Monitor Min Avg Max EPYC 7601 261.3 509.4 579.9 OpenBenchmarking.org Watts, Fewer Is Better Speedb 2.7 CPU Power Consumption Monitor 160 320 480 640 800
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 EPYC 7601 15 30 45 60 75 SE +/- 3.17, N = 12 68.38 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 4K EPYC 7601 0.0401 0.0802 0.1203 0.1604 0.2005 0.178
SVT-AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7601 249 384 645 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 200 400 600 800 1000
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K EPYC 7601 16 32 48 64 80 SE +/- 0.94, N = 15 71.06 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K EPYC 7601 0.0403 0.0806 0.1209 0.1612 0.2015 0.179
SVT-AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 397 653 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 200 400 600 800 1000
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K EPYC 7601 6 12 18 24 30 SE +/- 0.36, N = 3 26.51 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K EPYC 7601 0.0122 0.0244 0.0366 0.0488 0.061 0.054
SVT-AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7601 266 493 682 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 200 400 600 800 1000
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K EPYC 7601 0.6838 1.3676 2.0514 2.7352 3.419 SE +/- 0.012, N = 3 3.039 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K EPYC 7601 0.0014 0.0028 0.0042 0.0056 0.007 0.006
SVT-AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7601 255 496 685 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.8 CPU Power Consumption Monitor 200 400 600 800 1000
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 EPYC 7601 3 6 9 12 15 SE +/- 0.08, N = 3 9.90
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 EPYC 7601 0.0043 0.0086 0.0129 0.0172 0.0215 0.019
TensorFlow CPU Power Consumption Monitor Min Avg Max EPYC 7601 259.2 526.4 584.0 OpenBenchmarking.org Watts, Fewer Is Better TensorFlow 2.12 CPU Power Consumption Monitor 160 320 480 640 800
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 6.1 Time To Compile EPYC 7601 9 18 27 36 45 SE +/- 0.07, N = 3 39.87
Timed FFmpeg Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7601 255 523 718 OpenBenchmarking.org Watts, Fewer Is Better Timed FFmpeg Compilation 6.1 CPU Power Consumption Monitor 200 400 600 800 1000
Timed Gem5 Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 23.0.1 Time To Compile EPYC 7601 90 180 270 360 450 SE +/- 4.34, N = 9 394.22
Timed Gem5 Compilation CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed Gem5 Compilation 23.0.1 CPU Power Consumption Monitor EPYC 7601 130 260 390 520 650 Min: 141.91 / Avg: 529.47 / Max: 719.64
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig EPYC 7601 20 40 60 80 100 SE +/- 0.90, N = 3 76.33
Timed Linux Kernel Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7601 128 527 718 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 6.1 CPU Power Consumption Monitor 200 400 600 800 1000
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: allmodconfig EPYC 7601 160 320 480 640 800 SE +/- 0.82, N = 3 755.32
Timed Linux Kernel Compilation CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 6.1 CPU Power Consumption Monitor EPYC 7601 130 260 390 520 650 Min: 252.98 / Avg: 676.51 / Max: 718.81
Timed LLVM Compilation Build System: Ninja OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Ninja EPYC 7601 90 180 270 360 450 SE +/- 2.68, N = 3 437.56
Timed LLVM Compilation CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor EPYC 7601 130 260 390 520 650 Min: 255.68 / Avg: 644.25 / Max: 716.84
Timed LLVM Compilation Build System: Unix Makefiles OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Unix Makefiles EPYC 7601 120 240 360 480 600 SE +/- 1.64, N = 3 532.48
Timed LLVM Compilation CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 16.0 CPU Power Consumption Monitor EPYC 7601 130 260 390 520 650 Min: 157.96 / Avg: 592.01 / Max: 716.84
Timed MrBayes Analysis Primate Phylogeny Analysis OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis EPYC 7601 40 80 120 160 200 SE +/- 0.03, N = 3 193.37 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline
Timed MrBayes Analysis CPU Power Consumption Monitor Min Avg Max EPYC 7601 267 687 711 OpenBenchmarking.org Watts, Fewer Is Better Timed MrBayes Analysis 3.2.7 CPU Power Consumption Monitor 200 400 600 800 1000
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 19.8.1 Time To Compile EPYC 7601 80 160 240 320 400 SE +/- 0.70, N = 3 388.77
Timed Node.js Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7601 174 624 717 OpenBenchmarking.org Watts, Fewer Is Better Timed Node.js Compilation 19.8.1 CPU Power Consumption Monitor 200 400 600 800 1000
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 EPYC 7601 2 4 6 8 10 SE +/- 0.03, N = 3 8.66
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 EPYC 7601 0.0029 0.0058 0.0087 0.0116 0.0145 0.013
uvg266 CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 659 703 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 200 400 600 800 1000
uvg266 Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7601 5 10 15 20 25 SE +/- 0.08, N = 3 22.20
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 EPYC 7601 0.0081 0.0162 0.0243 0.0324 0.0405 0.036
uvg266 CPU Power Consumption Monitor Min Avg Max EPYC 7601 261 610 681 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 200 400 600 800 1000
uvg266 Video Input: Bosphorus 4K - Video Preset: Super Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast EPYC 7601 6 12 18 24 30 SE +/- 0.08, N = 3 23.36
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 EPYC 7601 0.0086 0.0172 0.0258 0.0344 0.043 0.038
uvg266 CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 617 690 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 200 400 600 800 1000
uvg266 Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7601 6 12 18 24 30 SE +/- 0.02, N = 3 27.27
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 EPYC 7601 0.0106 0.0212 0.0318 0.0424 0.053 0.047
uvg266 CPU Power Consumption Monitor Min Avg Max EPYC 7601 260 586 668 OpenBenchmarking.org Watts, Fewer Is Better uvg266 0.4.1 CPU Power Consumption Monitor 200 400 600 800 1000
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast EPYC 7601 0.7448 1.4896 2.2344 2.9792 3.724 SE +/- 0.02, N = 3 3.31 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast EPYC 7601 0.0014 0.0028 0.0042 0.0056 0.007 0.006
VVenC CPU Power Consumption Monitor Min Avg Max EPYC 7601 259 512 711 OpenBenchmarking.org Watts, Fewer Is Better VVenC 1.9 CPU Power Consumption Monitor 200 400 600 800 1000
VVenC Video Input: Bosphorus 4K - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster EPYC 7601 2 4 6 8 10 SE +/- 0.027, N = 3 6.478 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 EPYC 7601 0.0027 0.0054 0.0081 0.0108 0.0135 0.012
VVenC CPU Power Consumption Monitor Min Avg Max EPYC 7601 265 523 658 OpenBenchmarking.org Watts, Fewer Is Better VVenC 1.9 CPU Power Consumption Monitor 200 400 600 800 1000
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7601 4 8 12 16 20 SE +/- 0.10, N = 15 14.57 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7601 0.0063 0.0126 0.0189 0.0252 0.0315 0.028
x265 CPU Power Consumption Monitor Min Avg Max EPYC 7601 259.0 515.5 599.5 OpenBenchmarking.org Watts, Fewer Is Better x265 3.4 CPU Power Consumption Monitor 160 320 480 640 800
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 EPYC 7601 9 18 27 36 45 SE +/- 0.14, N = 3 37.55 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Xcompact3d Incompact3d CPU Power Consumption Monitor Min Avg Max EPYC 7601 263 577 642 OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor 200 400 600 800 1000
Xcompact3d Incompact3d Input: X3D-benchmarking input.i3d OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d EPYC 7601 300 600 900 1200 1500 SE +/- 15.06, N = 9 1279.59 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Xcompact3d Incompact3d CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor EPYC 7601 120 240 360 480 600 Min: 241.38 / Avg: 584.29 / Max: 692.59
Xmrig Variant: Monero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M EPYC 7601 1500 3000 4500 6000 7500 SE +/- 77.42, N = 12 6890.3 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: Monero - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M EPYC 7601 3 6 9 12 15 10.71
Xmrig CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor EPYC 7601 120 240 360 480 600 Min: 230.88 / Avg: 643.11 / Max: 685.6
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: Wownero - Hash Count: 1M EPYC 7601 2K 4K 6K 8K 10K SE +/- 18.58, N = 3 10393.0 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: Wownero - Hash Count: 1M EPYC 7601 4 8 12 16 20 15.76
Xmrig CPU Power Consumption Monitor Min Avg Max EPYC 7601 266 660 708 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 200 400 600 800 1000
Xmrig Variant: CryptoNight-Femto UPX2 - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M EPYC 7601 1500 3000 4500 6000 7500 SE +/- 66.27, N = 3 7092.5 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: CryptoNight-Femto UPX2 - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M EPYC 7601 3 6 9 12 15 11.01
Xmrig CPU Power Consumption Monitor Min Avg Max EPYC 7601 264 644 678 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor 200 400 600 800 1000
Xmrig Variant: CryptoNight-Heavy - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M EPYC 7601 1500 3000 4500 6000 7500 SE +/- 57.05, N = 12 6932.6 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: CryptoNight-Heavy - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M EPYC 7601 3 6 9 12 15 10.75
Xmrig CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor EPYC 7601 120 240 360 480 600 Min: 264 / Avg: 644.79 / Max: 676.59
Xmrig Variant: KawPow - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M EPYC 7601 1500 3000 4500 6000 7500 SE +/- 72.58, N = 12 6984.4 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: KawPow - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M EPYC 7601 3 6 9 12 15 10.85
Xmrig CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor EPYC 7601 120 240 360 480 600 Min: 266.42 / Avg: 643.61 / Max: 674.47
Xmrig Variant: GhostRider - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M EPYC 7601 200 400 600 800 1000 SE +/- 0.39, N = 3 1104.3 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: GhostRider - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M EPYC 7601 0.446 0.892 1.338 1.784 2.23 1.982
Xmrig CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.21 CPU Power Consumption Monitor EPYC 7601 100 200 300 400 500 Min: 265.12 / Avg: 557.27 / Max: 583.07
Phoronix Test Suite v10.8.4