AMD EPYC 7713 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 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 2209132-NE-UBUNTU22004 Ubuntu 22.04 Server Benchmarks - Phoronix Test Suite Ubuntu 22.04 Server Benchmarks AMD EPYC 7713 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2209132-NE-UBUNTU22004&sro&grs .
Ubuntu 22.04 Server Benchmarks Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution EPYC 7713 2P EPYC 7713 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads) AMD DAYTONA_X (RYM1009B BIOS) AMD Starship/Matisse 512GB 3841GB Micron_9300_MTFDHAL3T8TDP ASPEED VE228 2 x Mellanox MT27710 Ubuntu 22.04 5.15.0-47-generic (x86_64) GNOME Shell 42.4 X Server 1.21.1.3 1.2.204 GCC 11.2.0 ext4 1920x1080 AMD EPYC 7713 64-Core @ 2.00GHz (64 Cores / 128 Threads) 256GB OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 Java Details - OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04) Python Details - Python 3.10.4 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ubuntu 22.04 Server Benchmarks dragonflydb: 50 - 1:5 dragonflydb: 50 - 1:1 brl-cad: VGR Performance Metric dragonflydb: 50 - 5:1 pgbench: 100 - 250 - Read Write - Average Latency pgbench: 100 - 500 - Read Write - Average Latency pgbench: 100 - 500 - Read Write mysqlslap: 2048 natron: Spaceship onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU openfoam: drivaerFastback, Small Mesh Size - Execution Time npb: SP.C onednn: Recurrent Neural Network Inference - f32 - CPU appleseed: Material Tester onednn: Recurrent Neural Network Inference - u8s8f32 - CPU etcd: RANGE - 500 - 100 - Average Latency etcd: PUT - 500 - 100 - Average Latency etcd: RANGE - 500 - 100 etcd: RANGE - 100 - 100 openfoam: drivaerFastback, Large Mesh Size - Execution Time etcd: PUT - 500 - 100 etcd: RANGE - 100 - 100 - Average Latency etcd: PUT - 100 - 100 incompact3d: X3D-benchmarking input.i3d pennant: sedovbig coremark: CoreMark Size 666 - Iterations Per Second etcd: PUT - 100 - 100 - Average Latency askap: tConvolve MPI - Gridding openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU rocksdb: Rand Read openssl: RSA4096 openssl: RSA4096 sysbench: CPU openssl: SHA256 astcenc: Exhaustive askap: tConvolve MPI - Degridding openvino: Face Detection FP16 - CPU wrf: conus 2.5km helsing: 14 digit hpcg: relion: Basic - CPU liquid-dsp: 256 - 256 - 57 nginx: 500 primesieve: 1e13 npb: FT.C openvino: Person Detection FP32 - CPU etcd: RANGE - 500 - 1000 openvino: Person Detection FP16 - CPU etcd: PUT - 500 - 1000 astcenc: Thorough m-queens: Time To Solve etcd: PUT - 500 - 1000 - Average Latency etcd: RANGE - 500 - 1000 - Average Latency npb: LU.C openvino: Vehicle Detection FP16 - CPU etcd: PUT - 100 - 1000 - Average Latency etcd: PUT - 100 - 1000 ospray-studio: 1 - 4K - 32 - Path Tracer amg: ospray-studio: 3 - 4K - 32 - Path Tracer etcd: RANGE - 100 - 1000 ospray-studio: 2 - 4K - 32 - Path Tracer npb: CG.C npb: EP.C lulesh: etcd: RANGE - 100 - 1000 - Average Latency blender: Classroom - CPU-Only kripke: openvino: Person Vehicle Bike Detection FP16 - CPU liquid-dsp: 128 - 256 - 57 openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU nginx: 1000 openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU npb: BT.C ebizzy: asmfish: 1024 Hash Memory, 26 Depth compress-7zip: Decompression Rating blender: Pabellon Barcelona - CPU-Only ospray-studio: 1 - 4K - 1 - Path Tracer ospray-studio: 1 - 4K - 16 - Path Tracer ospray-studio: 3 - 4K - 16 - Path Tracer ospray-studio: 3 - 4K - 1 - Path Tracer xmrig: Monero - 1M npb: IS.D blender: BMW27 - CPU-Only mysqlslap: 4096 ospray-studio: 2 - 4K - 16 - Path Tracer npb: MG.C onnx: ArcFace ResNet-100 - CPU - Standard ospray-studio: 2 - 4K - 1 - Path Tracer blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only embree: Pathtracer ISPC - Crown rodinia: OpenMP LavaMD embree: Pathtracer - Crown namd: ATPase Simulation - 327,506 Atoms build-linux-kernel: allmodconfig webp2: Quality 100, Compression Effort 5 gpaw: Carbon Nanotube askap: Hogbom Clean OpenMP oidn: RT.hdr_alb_nrm.3840x2160 openvino: Age Gender Recognition Retail 0013 FP16 - CPU astcenc: Medium oidn: RT.ldr_alb_nrm.3840x2160 gromacs: MPI CPU - water_GMX50_bare rocksdb: Read While Writing npb: SP.B renaissance: Finagle HTTP Requests mt-dgemm: Sustained Floating-Point Rate pgbench: 100 - 250 - Read Only - Average Latency renaissance: Savina Reactors.IO pgbench: 100 - 250 - Read Only graphics-magick: Sharpen svt-hevc: 1 - Bosphorus 4K build-llvm: Ninja luxcorerender: Orange Juice - CPU kvazaar: Bosphorus 4K - Very Fast pgbench: 100 - 500 - Read Only - Average Latency compress-7zip: Compression Rating luxcorerender: DLSC - CPU pgbench: 100 - 500 - Read Only onednn: Convolution Batch Shapes Auto - f32 - CPU redis: GET - 1000 onnx: super-resolution-10 - CPU - Standard build-nodejs: Time To Compile graphics-magick: Enhanced povray: Trace Time sysbench: RAM / Memory build-linux-kernel: defconfig basis: UASTC Level 3 compress-lz4: 3 - Decompression Speed renaissance: ALS Movie Lens compress-lz4: 9 - Decompression Speed renaissance: Apache Spark PageRank webp2: Quality 95, Compression Effort 7 apache: 1000 jpegxl-decode: All build-ffmpeg: Time To Compile onnx: yolov4 - CPU - Standard apache: 500 x265: Bosphorus 4K spec-jbb2015: SPECjbb2015-Composite critical-jOPS liquid-dsp: 64 - 256 - 57 renaissance: In-Memory Database Shootout build-llvm: Unix Makefiles openvino: Age Gender Recognition Retail 0013 FP16 - CPU rocksdb: Read Rand Write Rand appleseed: Disney Material basis: UASTC Level 2 luxcorerender: Danish Mood - CPU graph500: 26 cassandra: Writes graphics-magick: HWB Color Space onnx: GPT-2 - CPU - Standard graph500: 26 compress-zstd: 19, Long Mode - Compression Speed embree: Pathtracer ISPC - Asian Dragon aom-av1: Speed 9 Realtime - Bosphorus 4K rocksdb: Update Rand openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU xmrig: Wownero - 1M webp2: Quality 75, Compression Effort 7 openfoam: drivaerFastback, Large Mesh Size - Mesh Time svt-hevc: 10 - Bosphorus 4K lczero: BLAS dacapobench: Tradebeans nwchem: C240 Buckyball appleseed: Emily build-mesa: Time To Compile lczero: Eigen minife: Small aom-av1: Speed 10 Realtime - Bosphorus 4K openfoam: drivaerFastback, Small Mesh Size - Mesh Time build-gem5: Time To Compile build2: Time To Compile embree: Pathtracer - Asian Dragon mlpack: scikit_qda rodinia: OpenMP Leukocyte renaissance: Apache Spark Bayes rodinia: OpenMP CFD Solver openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU onnx: bertsquad-12 - CPU - Standard openvino: Machine Translation EN To DE FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU svt-av1: Preset 10 - Bosphorus 4K build-godot: Time To Compile svt-hevc: 7 - Bosphorus 4K srsran: OFDM_Test openvino: Vehicle Detection FP16 - CPU openvino: Person Detection FP16 - CPU libraw: Post-Processing Benchmark jpegxl: JPEG - 7 openvino: Person Detection FP32 - CPU build-php: Time To Compile kvazaar: Bosphorus 4K - Ultra Fast jpegxl: PNG - 7 pjsip: OPTIONS, Stateful renaissance: Genetic Algorithm Using Jenetics + Futures graph500: 26 avifenc: 10, Lossless svt-av1: Preset 8 - Bosphorus 4K avifenc: 6 node-express-loadtest: graph500: 26 compress-lz4: 9 - Compression Speed tnn: CPU - MobileNet v2 basis: UASTC Level 0 mlpack: scikit_ica ngspice: C7552 compress-lz4: 3 - Compression Speed spec-jbb2015: SPECjbb2015-Composite max-jOPS graphics-magick: Rotate draco: Lion compress-zstd: 19 - Decompression Speed build-apache: Time To Compile avifenc: 6, Lossless build-python: Default jpegxl: PNG - 8 luaradio: Five Back to Back FIR Filters dacapobench: Jython draco: Church Facade clickhouse: 100M Rows Web Analytics Dataset, Second Run pjsip: OPTIONS, Stateless webp: Quality 100, Lossless tnn: CPU - DenseNet srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM openvino: Face Detection FP16 - CPU jpegxl: JPEG - 8 avifenc: 2 numpy: jpegxl-decode: 1 phpbench: PHP Benchmark Suite ngspice: C2670 node-web-tooling: srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAM pyperformance: python_startup luaradio: Complex Phase srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM securemark: SecureMark-TLS compress-zstd: 19, Long Mode - Decompression Speed pyperformance: chaos srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAM pyperformance: regex_compile pybench: Total For Average Test Times qe: AUSURF112 octave-benchmark: mlpack: scikit_svm liquid-dsp: 32 - 256 - 57 simdjson: PartialTweets pyperformance: pickle_pure_python quantlib: clickhouse: 100M Rows Web Analytics Dataset, Third Run simdjson: DistinctUserID tnn: CPU - SqueezeNet v2 webp: Quality 100 etcpak: Multi-Threaded - ETC2 etcpak: Single-Threaded - ETC2 srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM cython-bench: N-Queens luaradio: FM Deemphasis Filter webp: Quality 100, Highest Compression srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM clickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cache encode-mp3: WAV To MP3 compress-zstd: 19 - Compression Speed luaradio: Hilbert Transform build-wasmer: Time To Compile webp: Default tnn: CPU - SqueezeNet v1.1 synthmark: VoiceMark_100 srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAM aircrack-ng: pjsip: INVITE encode-flac: WAV To FLAC build-python: Released Build, PGO + LTO Optimized ctx-clock: Context Switch Time blake2: srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAM simdjson: TopTweet simdjson: Kostya simdjson: LargeRand webp: Quality 100, Lossless, Highest Compression stockfish: Total Time pgbench: 100 - 250 - Read Write webp2: Default svt-av1: Preset 12 - Bosphorus 4K vpxenc: Speed 5 - Bosphorus 4K luxcorerender: LuxCore Benchmark - CPU luxcorerender: Rainbow Colors and Prism - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU cloverleaf: Lagrangian-Eulerian Hydrodynamics onnx: fcn-resnet101-11 - CPU - Standard rodinia: OpenMP HotSpot3D npb: EP.D pennant: leblancbig EPYC 7713 2P EPYC 7713 724442.87 724466.22 3240515 724635.93 15.076 35.094 14261 150 1.9 7531.12 7435.34 7473.91 281.7 116527.63 2840.33 336.583119 2754.45 2.6 2.6 38506.6051 37230.3273 7052.62 38992.8158 2.7 38209.4202 300.691142 5.675895 4105747.139772 2.6 43735.8 2.11 480175332 1638050.5 25009.6 500125.79 134629156527 6.4499 39742.0 17.59 8650.839 62.129 37.1011 290.961 5350900000 90312.00 28.718 116679.26 13.09 44040.7135 13.10 43696.7618 58.4744 6.376 22.8 22.6 259899.49 1788.34 23.7 41860.4825 44624 1923306667 52785 42305.6183 45460 45587.10 8338.27 36456.229 23.4 40.89 143950267 2884.44 5085066667 218.13 45.84 3136.14 94018.12 4559.42 1905.51 235808.54 453258 248870519 634086 53.88 1379 22158 26510 1646 50749.6 4690.06 17.19 140 22742 100740.89 877 1424 22.25 171.52 82.9263 26.740 89.6006 0.26712 160.463 6.41 43.857 319.756 2.26 3.27 380.6467 2.26 8.215 14564673 142675.55 10535.4 32.071227 0.126 12254.2 1983155 779 15.08 105.032 18.60 54.24 0.248 516617 12.23 2012722 0.640833 1364479.13 4569 113.466 1344 7.590 7260.66 21.584 11.402 10743.2 24613.1 10851.4 3985.7 0.31 84767.73 569.97 14.271 330 91255.79 21.48 68946 3191533333 6136.4 178.675 37561.07 2922167 50.464258 8.773 7.50 390377000 209921 1093 7878 302338000 39.9 67.1736 55.62 304654 57763.89 41982.9 0.55 776.38 195.62 4449 4568 2183.6 151.531071 18.100 4093 24664.8 57.04 124.96 159.015 53.232 68.8759 31.84 47.284 638.1 6.283 33.55 28.05 20.38 1388.41 668 292.82 22.16 123.806 41.167 144.70 130333333 35.75 4777.15 37.96 100.77 4774.37 38.338 58.52 10.74 8819 2314.9 642516000 5.558 68.797 3.957 6198 659467000 52.51 341.281 6.379 46.40 105.951 54.18 130899 730 5735 3473.0 20.521 7.334 15.39 1.00 1211.6 4106 7525 387.01 67617 1.42 3065.920 426.1 3597.47 28.92 41.213 469.38 66.93 726003 137.362 10.50 392.3 7.71 623.8 127.9 249582 3485.8 95.8 427.4 155 953 399.92 6.545 21.45 1614266667 3.84 385 2808.8 396.82 4.42 65.894 10.65 6678.565 229.637 62.2 23.312 364.3 3.47 141.0 377.52 7.490 84.7 98.4 51.869 16.75 273.848 748.057 394.1 133.6 149778.797 4692 18.133 261.337 120 3.39 149.6 143.6 4.39 2.9 1 0.56 279486942 16633 9.70 179.550 13.86 7.63 16.99 2840.05 30.0116 19.44 237 89.280 9109.24 3.556570 3599739.57 3382696.79 697698 3244708.36 3.400 7.980 62654 615 6.0 2943.08 2950.43 2984.47 633.93 51921.71 1266.20 152.394204 1253.50 1.2 1.2 82098.4178 79219.6509 14972.97 81895.9623 1.3 78829.5888 609.677470 11.42723 2045229.645896 1.3 21943.0 1.06 242074798 825904.1 12613.1 252440.57 68101809853 3.2659 20252.1 8.97 16959.848 120.999 19.1088 563.271 2767166667 173899.19 55.255 60659.25 6.81 84602.7803 6.82 83927.6558 30.4554 12.238 11.9 11.8 135917.43 935.58 12.4 79978.1905 84968 1012051667 100051 80131.7958 86081 24085.73 4406.02 19305.656 12.4 77.14 270722527 1535.08 2706900000 116.33 24.59 1689.18 174524.79 2462.40 1030.76 127998.61 246494 138776102 354608 96.30 2463 39568 47134 2922 28612.4 2648.96 30.43 247 40058 57329.70 1538 2496 38.85 299.30 47.5583 46.547 51.8334 0.45457 272.609 10.85 71.658 520.840 1.40 2.03 236.6020 1.41 5.130 9182167 89950.76 6720.8 20.880271 0.193 8004.9 1297684 511 9.91 159.575 12.48 36.71 0.365 351077 8.33 1370935 0.934706 1990067.33 6631 164.001 941 10.680 9990.12 29.409 15.385 14123.3 18814.1 14156.7 3067.3 0.24 109150.30 731.88 18.146 417 115006.99 26.69 85389 2577666667 5009.2 218.445 30742.17 3561841 61.265637 10.615 6.20 323593000 250596 1303 9368 254477000 47.4 56.8098 65.49 358336 49691.03 36467.2 0.48 888.82 223.66 3893 3998 2491.1 133.04347 20.610 3598 21875.1 63.90 139.89 176.430 58.956 62.9814 29.19 43.392 585.6 6.845 31.02 25.97 18.93 1293.51 713 274.57 20.82 131.270 43.354 137.74 136633333 34.17 4601.78 39.40 104.58 4600.94 39.763 56.53 11.11 9115 2243.2 622681000 5.398 70.783 3.846 6367 642278000 53.89 332.611 6.221 45.27 103.387 55.43 127957 746 5613 3401.6 20.100 7.184 15.708 1.02 1189.0 4033 7411 392.92 66602 1.40 3107.102 431.8 3555.78 29.24 40.766 464.56 67.62 733332 136.020 10.60 396.0 7.64 628.9 128.9 247747 3460.3 96.5 430.5 156 959 397.64 6.582 21.33 1605566667 3.86 387 2795.3 394.98 4.40 65.617 10.69 6702.518 230.432 62.4 23.384 365.4 3.48 141.4 378.44 7.472 84.9 98.6 51.965 16.78 273.481 747.308 394.4 133.7 149666.943 4690 18.129 261.365 120 3.39 149.6 143.6 4.39 2.9 1 0.56 149383689 73527 9.00 184.711 15.86 6.84 21.13 1229.56 12.5608 12.00 185 88.019 4668.96 6.133060 OpenBenchmarking.org
Dragonflydb Clients: 50 - Set To Get Ratio: 1:5 OpenBenchmarking.org Ops/sec, More Is Better Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:5 EPYC 7713 EPYC 7713 2P 800K 1600K 2400K 3200K 4000K SE +/- 3261.92, N = 3 SE +/- 634.91, N = 3 3599739.57 724442.87 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Dragonflydb Clients: 50 - Set To Get Ratio: 1:1 OpenBenchmarking.org Ops/sec, More Is Better Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:1 EPYC 7713 EPYC 7713 2P 700K 1400K 2100K 2800K 3500K SE +/- 14735.29, N = 3 SE +/- 1586.54, N = 3 3382696.79 724466.22 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.32.6 VGR Performance Metric EPYC 7713 EPYC 7713 2P 700K 1400K 2100K 2800K 3500K 697698 3240515 1. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm
Dragonflydb Clients: 50 - Set To Get Ratio: 5:1 OpenBenchmarking.org Ops/sec, More Is Better Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 5:1 EPYC 7713 EPYC 7713 2P 700K 1400K 2100K 2800K 3500K SE +/- 917.19, N = 3 SE +/- 986.76, N = 3 3244708.36 724635.93 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
PostgreSQL pgbench Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 14.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7713 EPYC 7713 2P 4 8 12 16 20 SE +/- 0.005, N = 3 SE +/- 0.235, N = 12 3.400 15.076 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL pgbench Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 14.0 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency EPYC 7713 EPYC 7713 2P 8 16 24 32 40 SE +/- 0.022, N = 3 SE +/- 0.318, N = 12 7.980 35.094 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL pgbench Scaling Factor: 100 - Clients: 500 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 14.0 Scaling Factor: 100 - Clients: 500 - Mode: Read Write EPYC 7713 EPYC 7713 2P 13K 26K 39K 52K 65K SE +/- 172.39, N = 3 SE +/- 133.03, N = 12 62654 14261 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MariaDB Clients: 2048 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.8.2 Clients: 2048 EPYC 7713 EPYC 7713 2P 130 260 390 520 650 SE +/- 4.69, N = 3 SE +/- 0.88, N = 3 615 150 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl
Natron Input: Spaceship OpenBenchmarking.org FPS, More Is Better Natron 2.4.3 Input: Spaceship EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.02, N = 5 6.0 1.9
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU EPYC 7713 EPYC 7713 2P 1600 3200 4800 6400 8000 SE +/- 8.18, N = 3 SE +/- 91.23, N = 3 2943.08 7531.12 MIN: 2859.58 MIN: 7148.44 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU EPYC 7713 EPYC 7713 2P 1600 3200 4800 6400 8000 SE +/- 31.08, N = 3 SE +/- 55.80, N = 3 2950.43 7435.34 MIN: 2820.96 MIN: 7037.37 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU EPYC 7713 EPYC 7713 2P 1600 3200 4800 6400 8000 SE +/- 21.84, N = 3 SE +/- 85.87, N = 4 2984.47 7473.91 MIN: 2892.79 MIN: 6964.91 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenFOAM Input: drivaerFastback, Small Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 9 Input: drivaerFastback, Small Mesh Size - Execution Time EPYC 7713 EPYC 7713 2P 140 280 420 560 700 633.93 281.70 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
NAS Parallel Benchmarks Test / Class: SP.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 33.24, N = 3 SE +/- 212.54, N = 4 51921.71 116527.63 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU EPYC 7713 EPYC 7713 2P 600 1200 1800 2400 3000 SE +/- 12.45, N = 3 SE +/- 23.56, N = 3 1266.20 2840.33 MIN: 1204.11 MIN: 2353.16 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
Appleseed Scene: Material Tester OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester EPYC 7713 EPYC 7713 2P 70 140 210 280 350 152.39 336.58
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU EPYC 7713 EPYC 7713 2P 600 1200 1800 2400 3000 SE +/- 2.41, N = 3 SE +/- 32.96, N = 15 1253.50 2754.45 MIN: 1197.7 MIN: 2158.82 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
etcd Test: RANGE - Connections: 500 - Clients: 100 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 100 - Average Latency EPYC 7713 EPYC 7713 2P 0.585 1.17 1.755 2.34 2.925 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.2 2.6
etcd Test: PUT - Connections: 500 - Clients: 100 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 100 - Average Latency EPYC 7713 EPYC 7713 2P 0.585 1.17 1.755 2.34 2.925 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 1.2 2.6
etcd Test: RANGE - Connections: 500 - Clients: 100 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 100 EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 99.62, N = 3 SE +/- 133.45, N = 3 82098.42 38506.61
etcd Test: RANGE - Connections: 100 - Clients: 100 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 100 EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 329.90, N = 3 SE +/- 394.99, N = 4 79219.65 37230.33
OpenFOAM Input: drivaerFastback, Large Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 9 Input: drivaerFastback, Large Mesh Size - Execution Time EPYC 7713 EPYC 7713 2P 3K 6K 9K 12K 15K 14972.97 7052.62 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
etcd Test: PUT - Connections: 500 - Clients: 100 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 100 EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 259.78, N = 3 SE +/- 317.01, N = 3 81895.96 38992.82
etcd Test: RANGE - Connections: 100 - Clients: 100 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 100 - Average Latency EPYC 7713 EPYC 7713 2P 0.6075 1.215 1.8225 2.43 3.0375 SE +/- 0.03, N = 3 SE +/- 0.03, N = 4 1.3 2.7
etcd Test: PUT - Connections: 100 - Clients: 100 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 100 EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 356.10, N = 3 SE +/- 77.98, N = 3 78829.59 38209.42
Xcompact3d Incompact3d Input: X3D-benchmarking input.i3d OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d EPYC 7713 EPYC 7713 2P 130 260 390 520 650 SE +/- 1.64, N = 3 SE +/- 0.29, N = 3 609.68 300.69 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
Pennant Test: sedovbig OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: sedovbig EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.119128, N = 4 SE +/- 0.039464, N = 6 11.427230 5.675895 1. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7713 EPYC 7713 2P 900K 1800K 2700K 3600K 4500K SE +/- 10186.88, N = 3 SE +/- 2413.85, N = 3 2045229.65 4105747.14 1. (CC) gcc options: -O2 -lrt" -lrt
etcd Test: PUT - Connections: 100 - Clients: 100 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 100 - Average Latency EPYC 7713 EPYC 7713 2P 0.585 1.17 1.755 2.34 2.925 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.3 2.6
ASKAP Test: tConvolve MPI - Gridding OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding EPYC 7713 EPYC 7713 2P 9K 18K 27K 36K 45K SE +/- 76.73, N = 3 SE +/- 263.02, N = 3 21943.0 43735.8 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 0.4748 0.9496 1.4244 1.8992 2.374 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.06 2.11 MIN: 0.55 / MAX: 15.24 MIN: 0.53 / MAX: 66.38 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
Facebook RocksDB Test: Random Read OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 7.5.3 Test: Random Read EPYC 7713 EPYC 7713 2P 100M 200M 300M 400M 500M SE +/- 482617.87, N = 3 SE +/- 753688.43, N = 3 242074798 480175332 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.0 Algorithm: RSA4096 EPYC 7713 EPYC 7713 2P 400K 800K 1200K 1600K 2000K SE +/- 47.96, N = 3 SE +/- 338.78, N = 3 825904.1 1638050.5 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.0 Algorithm: RSA4096 EPYC 7713 EPYC 7713 2P 5K 10K 15K 20K 25K SE +/- 1.58, N = 3 SE +/- 3.07, N = 3 12613.1 25009.6 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Sysbench Test: CPU OpenBenchmarking.org Events Per Second, More Is Better Sysbench 1.0.20 Test: CPU EPYC 7713 EPYC 7713 2P 110K 220K 330K 440K 550K SE +/- 51.07, N = 3 SE +/- 659.19, N = 3 252440.57 500125.79 1. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.0 Algorithm: SHA256 EPYC 7713 EPYC 7713 2P 30000M 60000M 90000M 120000M 150000M SE +/- 67558357.93, N = 3 SE +/- 153008615.66, N = 3 68101809853 134629156527 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Exhaustive EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.0030, N = 3 SE +/- 0.0100, N = 4 3.2659 6.4499 1. (CXX) g++ options: -O3 -flto -pthread
ASKAP Test: tConvolve MPI - Degridding OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Degridding EPYC 7713 EPYC 7713 2P 9K 18K 27K 36K 45K SE +/- 173.09, N = 3 SE +/- 448.28, N = 3 20252.1 39742.0 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.18, N = 5 8.97 17.59 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
WRF Input: conus 2.5km OpenBenchmarking.org Seconds, Fewer Is Better WRF 4.2.2 Input: conus 2.5km EPYC 7713 EPYC 7713 2P 4K 8K 12K 16K 20K 16959.85 8650.84 1. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Helsing Digit Range: 14 digit OpenBenchmarking.org Seconds, Fewer Is Better Helsing 1.0-beta Digit Range: 14 digit EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 121.00 62.13 1. (CC) gcc options: -O2 -pthread
High Performance Conjugate Gradient OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7713 EPYC 7713 2P 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 19.11 37.10 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
RELION Test: Basic - Device: CPU OpenBenchmarking.org Seconds, Fewer Is Better RELION 3.1.1 Test: Basic - Device: CPU EPYC 7713 EPYC 7713 2P 120 240 360 480 600 SE +/- 3.66, N = 3 SE +/- 3.51, N = 4 563.27 290.96 1. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lmpi_cxx -lmpi
Liquid-DSP Threads: 256 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 256 - Buffer Length: 256 - Filter Length: 57 EPYC 7713 EPYC 7713 2P 1100M 2200M 3300M 4400M 5500M SE +/- 11518439.32, N = 3 SE +/- 1628905.56, N = 3 2767166667 5350900000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
nginx Concurrent Requests: 500 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.21.1 Concurrent Requests: 500 EPYC 7713 EPYC 7713 2P 40K 80K 120K 160K 200K SE +/- 283.75, N = 3 SE +/- 154.59, N = 3 173899.19 90312.00 1. (CC) gcc options: -lcrypt -lz -O3 -march=native
Primesieve Length: 1e13 OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 8.0 Length: 1e13 EPYC 7713 EPYC 7713 2P 12 24 36 48 60 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 55.26 28.72 1. (CXX) g++ options: -O3
NAS Parallel Benchmarks Test / Class: FT.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 292.35, N = 6 SE +/- 650.27, N = 8 60659.25 116679.26 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 6.81 13.09 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
etcd Test: RANGE - Connections: 500 - Clients: 1000 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 1000 EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 408.33, N = 3 SE +/- 121.36, N = 3 84602.78 44040.71
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 6.82 13.10 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
etcd Test: PUT - Connections: 500 - Clients: 1000 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 1000 EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 327.59, N = 3 SE +/- 202.15, N = 3 83927.66 43696.76
ASTC Encoder Preset: Thorough OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Thorough EPYC 7713 EPYC 7713 2P 13 26 39 52 65 SE +/- 0.02, N = 4 SE +/- 0.06, N = 5 30.46 58.47 1. (CXX) g++ options: -O3 -flto -pthread
m-queens Time To Solve OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.015, N = 4 SE +/- 0.027, N = 6 12.238 6.376 1. (CXX) g++ options: -fopenmp -O2 -march=native
etcd Test: PUT - Connections: 500 - Clients: 1000 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 1000 - Average Latency EPYC 7713 EPYC 7713 2P 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 11.9 22.8
etcd Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency EPYC 7713 EPYC 7713 2P 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 11.8 22.6
NAS Parallel Benchmarks Test / Class: LU.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C EPYC 7713 EPYC 7713 2P 60K 120K 180K 240K 300K SE +/- 264.51, N = 4 SE +/- 2852.04, N = 5 135917.43 259899.49 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 400 800 1200 1600 2000 SE +/- 3.92, N = 3 SE +/- 12.59, N = 3 935.58 1788.34 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
etcd Test: PUT - Connections: 100 - Clients: 1000 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 1000 - Average Latency EPYC 7713 EPYC 7713 2P 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 12.4 23.7
etcd Test: PUT - Connections: 100 - Clients: 1000 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 1000 EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 324.17, N = 3 SE +/- 80.91, N = 3 79978.19 41860.48
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 162.94, N = 3 SE +/- 224.62, N = 3 84968 44624 1. (CXX) g++ options: -O3 -ldl
Algebraic Multi-Grid Benchmark OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 EPYC 7713 EPYC 7713 2P 400M 800M 1200M 1600M 2000M SE +/- 863687.12, N = 3 SE +/- 699794.57, N = 3 1012051667 1923306667 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 269.96, N = 3 SE +/- 265.11, N = 3 100051 52785 1. (CXX) g++ options: -O3 -ldl
etcd Test: RANGE - Connections: 100 - Clients: 1000 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 1000 EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 303.55, N = 3 SE +/- 218.72, N = 3 80131.80 42305.62
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 135.08, N = 3 SE +/- 39.74, N = 3 86081 45460 1. (CXX) g++ options: -O3 -ldl
NAS Parallel Benchmarks Test / Class: CG.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C EPYC 7713 EPYC 7713 2P 10K 20K 30K 40K 50K SE +/- 119.51, N = 6 SE +/- 340.17, N = 11 24085.73 45587.10 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
NAS Parallel Benchmarks Test / Class: EP.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C EPYC 7713 EPYC 7713 2P 2K 4K 6K 8K 10K SE +/- 45.43, N = 15 SE +/- 61.53, N = 15 4406.02 8338.27 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
LULESH OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 EPYC 7713 EPYC 7713 2P 8K 16K 24K 32K 40K SE +/- 64.60, N = 3 SE +/- 104.62, N = 3 19305.66 36456.23 1. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
etcd Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency EPYC 7713 EPYC 7713 2P 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 12.4 23.4
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Classroom - Compute: CPU-Only EPYC 7713 EPYC 7713 2P 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.23, N = 3 77.14 40.89
Kripke OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 EPYC 7713 EPYC 7713 2P 60M 120M 180M 240M 300M SE +/- 2567603.42, N = 15 SE +/- 886909.06, N = 3 270722527 143950267 1. (CXX) g++ options: -O3 -fopenmp
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 600 1200 1800 2400 3000 SE +/- 0.60, N = 3 SE +/- 3.95, N = 3 1535.08 2884.44 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
Liquid-DSP Threads: 128 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 128 - Buffer Length: 256 - Filter Length: 57 EPYC 7713 EPYC 7713 2P 1100M 2200M 3300M 4400M 5500M SE +/- 360555.13, N = 3 SE +/- 3142362.88, N = 3 2706900000 5085066667 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 50 100 150 200 250 SE +/- 0.19, N = 3 SE +/- 0.45, N = 3 116.33 218.13 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 10 20 30 40 50 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 24.59 45.84 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 700 1400 2100 2800 3500 SE +/- 1.36, N = 3 SE +/- 2.08, N = 3 1689.18 3136.14 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
nginx Concurrent Requests: 1000 OpenBenchmarking.org Requests Per Second, More Is Better nginx 1.21.1 Concurrent Requests: 1000 EPYC 7713 EPYC 7713 2P 40K 80K 120K 160K 200K SE +/- 625.94, N = 3 SE +/- 98.75, N = 3 174524.79 94018.12 1. (CC) gcc options: -lcrypt -lz -O3 -march=native
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 1000 2000 3000 4000 5000 SE +/- 1.64, N = 3 SE +/- 0.96, N = 3 2462.40 4559.42 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 400 800 1200 1600 2000 SE +/- 0.14, N = 3 SE +/- 2.71, N = 3 1030.76 1905.51 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
NAS Parallel Benchmarks Test / Class: BT.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C EPYC 7713 EPYC 7713 2P 50K 100K 150K 200K 250K SE +/- 152.57, N = 3 SE +/- 391.85, N = 4 127998.61 235808.54 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
ebizzy OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7713 EPYC 7713 2P 100K 200K 300K 400K 500K SE +/- 2042.62, N = 9 SE +/- 5345.80, N = 15 246494 453258 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth EPYC 7713 EPYC 7713 2P 50M 100M 150M 200M 250M SE +/- 277360.08, N = 3 SE +/- 2119737.62, N = 12 138776102 248870519
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating EPYC 7713 EPYC 7713 2P 140K 280K 420K 560K 700K SE +/- 180.78, N = 3 SE +/- 2913.98, N = 3 354608 634086 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Pabellon Barcelona - Compute: CPU-Only EPYC 7713 EPYC 7713 2P 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.25, N = 3 96.30 53.88
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer EPYC 7713 EPYC 7713 2P 500 1000 1500 2000 2500 SE +/- 0.33, N = 3 SE +/- 1.76, N = 3 2463 1379 1. (CXX) g++ options: -O3 -ldl
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer EPYC 7713 EPYC 7713 2P 8K 16K 24K 32K 40K SE +/- 29.02, N = 3 SE +/- 60.36, N = 3 39568 22158 1. (CXX) g++ options: -O3 -ldl
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer EPYC 7713 EPYC 7713 2P 10K 20K 30K 40K 50K SE +/- 66.05, N = 3 SE +/- 146.03, N = 3 47134 26510 1. (CXX) g++ options: -O3 -ldl
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer EPYC 7713 EPYC 7713 2P 600 1200 1800 2400 3000 SE +/- 0.88, N = 3 SE +/- 0.33, N = 3 2922 1646 1. (CXX) g++ options: -O3 -ldl
Xmrig Variant: Monero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.12.1 Variant: Monero - Hash Count: 1M EPYC 7713 EPYC 7713 2P 11K 22K 33K 44K 55K SE +/- 67.12, N = 3 SE +/- 161.81, N = 3 28612.4 50749.6 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
NAS Parallel Benchmarks Test / Class: IS.D OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D EPYC 7713 EPYC 7713 2P 1000 2000 3000 4000 5000 SE +/- 13.59, N = 4 SE +/- 43.17, N = 15 2648.96 4690.06 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: BMW27 - Compute: CPU-Only EPYC 7713 EPYC 7713 2P 7 14 21 28 35 SE +/- 0.08, N = 3 SE +/- 0.23, N = 3 30.43 17.19
MariaDB Clients: 4096 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.8.2 Clients: 4096 EPYC 7713 EPYC 7713 2P 50 100 150 200 250 SE +/- 0.15, N = 3 SE +/- 0.87, N = 3 247 140 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer EPYC 7713 EPYC 7713 2P 9K 18K 27K 36K 45K SE +/- 10.17, N = 3 SE +/- 44.67, N = 3 40058 22742 1. (CXX) g++ options: -O3 -ldl
NAS Parallel Benchmarks Test / Class: MG.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 290.32, N = 9 SE +/- 291.87, N = 10 57329.70 100740.89 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
ONNX Runtime Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 300 600 900 1200 1500 SE +/- 5.25, N = 3 SE +/- 14.15, N = 12 1538 877 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer EPYC 7713 EPYC 7713 2P 500 1000 1500 2000 2500 SE +/- 1.73, N = 3 SE +/- 0.33, N = 3 2496 1424 1. (CXX) g++ options: -O3 -ldl
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Fishy Cat - Compute: CPU-Only EPYC 7713 EPYC 7713 2P 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 38.85 22.25
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Barbershop - Compute: CPU-Only EPYC 7713 EPYC 7713 2P 70 140 210 280 350 SE +/- 0.18, N = 3 SE +/- 0.28, N = 3 299.30 171.52
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Crown EPYC 7713 EPYC 7713 2P 20 40 60 80 100 SE +/- 0.05, N = 4 SE +/- 0.07, N = 6 47.56 82.93 MIN: 46.72 / MAX: 49.62 MIN: 77.94 / MAX: 92.77
Rodinia Test: OpenMP LavaMD OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7713 EPYC 7713 2P 11 22 33 44 55 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 46.55 26.74 1. (CXX) g++ options: -O2 -lOpenCL
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer - Model: Crown EPYC 7713 EPYC 7713 2P 20 40 60 80 100 SE +/- 0.16, N = 4 SE +/- 0.10, N = 6 51.83 89.60 MIN: 50.82 / MAX: 57.89 MIN: 83.63 / MAX: 104.61
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7713 EPYC 7713 2P 0.1023 0.2046 0.3069 0.4092 0.5115 SE +/- 0.00038, N = 3 SE +/- 0.00056, N = 3 0.45457 0.26712
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.18 Build: allmodconfig EPYC 7713 EPYC 7713 2P 60 120 180 240 300 SE +/- 0.54, N = 3 SE +/- 0.47, N = 3 272.61 160.46
WebP2 Image Encode Encode Settings: Quality 100, Compression Effort 5 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.04, N = 10 SE +/- 0.03, N = 8 10.85 6.41 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
GPAW Input: Carbon Nanotube OpenBenchmarking.org Seconds, Fewer Is Better GPAW 22.1 Input: Carbon Nanotube EPYC 7713 EPYC 7713 2P 16 32 48 64 80 SE +/- 0.19, N = 3 SE +/- 0.25, N = 3 71.66 43.86 1. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
ASKAP Test: Hogbom Clean OpenMP OpenBenchmarking.org Iterations Per Second, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP EPYC 7713 EPYC 7713 2P 110 220 330 440 550 SE +/- 1.11, N = 4 SE +/- 1.13, N = 4 520.84 319.76 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.4.0 Run: RT.hdr_alb_nrm.3840x2160 EPYC 7713 EPYC 7713 2P 0.5085 1.017 1.5255 2.034 2.5425 SE +/- 0.00, N = 3 SE +/- 0.00, N = 4 1.40 2.26
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 0.7358 1.4716 2.2074 2.9432 3.679 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 2.03 3.27 MIN: 0.97 / MAX: 18.02 MIN: 0.88 / MAX: 81.36 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
ASTC Encoder Preset: Medium OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Medium EPYC 7713 EPYC 7713 2P 80 160 240 320 400 SE +/- 0.11, N = 7 SE +/- 1.30, N = 7 236.60 380.65 1. (CXX) g++ options: -O3 -flto -pthread
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.4.0 Run: RT.ldr_alb_nrm.3840x2160 EPYC 7713 EPYC 7713 2P 0.5085 1.017 1.5255 2.034 2.5425 SE +/- 0.00, N = 3 SE +/- 0.00, N = 4 1.41 2.26
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2022.1 Implementation: MPI CPU - Input: water_GMX50_bare EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.010, N = 3 SE +/- 0.024, N = 3 5.130 8.215 1. (CXX) g++ options: -O3
Facebook RocksDB Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 7.5.3 Test: Read While Writing EPYC 7713 EPYC 7713 2P 3M 6M 9M 12M 15M SE +/- 66207.97, N = 3 SE +/- 195708.96, N = 3 9182167 14564673 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
NAS Parallel Benchmarks Test / Class: SP.B OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B EPYC 7713 EPYC 7713 2P 30K 60K 90K 120K 150K SE +/- 824.60, N = 15 SE +/- 1089.48, N = 15 89950.76 142675.55 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
Renaissance Test: Finagle HTTP Requests OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.14 Test: Finagle HTTP Requests EPYC 7713 EPYC 7713 2P 2K 4K 6K 8K 10K SE +/- 23.48, N = 3 SE +/- 107.40, N = 3 6720.8 10535.4 MIN: 6349.06 / MAX: 6850.05 MIN: 9747.42 / MAX: 10878.16
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7713 EPYC 7713 2P 7 14 21 28 35 SE +/- 0.08, N = 5 SE +/- 0.29, N = 6 20.88 32.07 1. (CC) gcc options: -O3 -march=native -fopenmp
PostgreSQL pgbench Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 14.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7713 EPYC 7713 2P 0.0434 0.0868 0.1302 0.1736 0.217 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.193 0.126 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
Renaissance Test: Savina Reactors.IO OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.14 Test: Savina Reactors.IO EPYC 7713 EPYC 7713 2P 3K 6K 9K 12K 15K SE +/- 89.73, N = 3 SE +/- 134.48, N = 12 8004.9 12254.2 MIN: 7833.11 / MAX: 12272.32 MIN: 11483.79 / MAX: 29956.39
PostgreSQL pgbench Scaling Factor: 100 - Clients: 250 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 14.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only EPYC 7713 EPYC 7713 2P 400K 800K 1200K 1600K 2000K SE +/- 818.86, N = 3 SE +/- 12988.21, N = 3 1297684 1983155 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Sharpen EPYC 7713 EPYC 7713 2P 200 400 600 800 1000 SE +/- 2.52, N = 3 SE +/- 1.45, N = 3 511 779 1. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
SVT-HEVC Tuning: 1 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 9.91 15.08 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Timed LLVM Compilation Build System: Ninja OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 13.0 Build System: Ninja EPYC 7713 EPYC 7713 2P 40 80 120 160 200 SE +/- 0.28, N = 3 SE +/- 0.51, N = 3 159.58 105.03
LuxCoreRender Scene: Orange Juice - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU EPYC 7713 EPYC 7713 2P 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.15, N = 9 12.48 18.60 MIN: 10.85 / MAX: 14.14 MIN: 15.92 / MAX: 24.08
Kvazaar Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.1 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7713 EPYC 7713 2P 12 24 36 48 60 SE +/- 0.03, N = 4 SE +/- 0.17, N = 5 36.71 54.24 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
PostgreSQL pgbench Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 14.0 Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency EPYC 7713 EPYC 7713 2P 0.0821 0.1642 0.2463 0.3284 0.4105 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 0.365 0.248 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating EPYC 7713 EPYC 7713 2P 110K 220K 330K 440K 550K SE +/- 361.70, N = 3 SE +/- 4935.82, N = 3 351077 516617 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
LuxCoreRender Scene: DLSC - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: CPU EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 8.33 12.23 MIN: 8.11 / MAX: 9.42 MIN: 11.53 / MAX: 15.5
PostgreSQL pgbench Scaling Factor: 100 - Clients: 500 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 14.0 Scaling Factor: 100 - Clients: 500 - Mode: Read Only EPYC 7713 EPYC 7713 2P 400K 800K 1200K 1600K 2000K SE +/- 13290.57, N = 3 SE +/- 13496.08, N = 3 1370935 2012722 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU EPYC 7713 EPYC 7713 2P 0.2103 0.4206 0.6309 0.8412 1.0515 SE +/- 0.000519, N = 7 SE +/- 0.003112, N = 7 0.934706 0.640833 MIN: 0.87 MIN: 0.59 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
Redis Test: GET - Parallel Connections: 1000 OpenBenchmarking.org Requests Per Second, More Is Better Redis 7.0.4 Test: GET - Parallel Connections: 1000 EPYC 7713 EPYC 7713 2P 400K 800K 1200K 1600K 2000K SE +/- 8028.55, N = 3 SE +/- 7896.51, N = 3 1990067.33 1364479.13 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
ONNX Runtime Model: super-resolution-10 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 1400 2800 4200 5600 7000 SE +/- 6.02, N = 3 SE +/- 45.38, N = 12 6631 4569 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 18.8 Time To Compile EPYC 7713 EPYC 7713 2P 40 80 120 160 200 SE +/- 0.14, N = 3 SE +/- 0.71, N = 3 164.00 113.47
GraphicsMagick Operation: Enhanced OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Enhanced EPYC 7713 EPYC 7713 2P 300 600 900 1200 1500 SE +/- 1.15, N = 3 SE +/- 9.60, N = 3 941 1344 1. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
POV-Ray Trace Time OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.067, N = 4 SE +/- 0.050, N = 5 10.680 7.590 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -R/usr/lib -lSDL -lXpm -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
Sysbench Test: RAM / Memory OpenBenchmarking.org MiB/sec, More Is Better Sysbench 1.0.20 Test: RAM / Memory EPYC 7713 EPYC 7713 2P 2K 4K 6K 8K 10K SE +/- 21.53, N = 5 SE +/- 89.77, N = 4 9990.12 7260.66 1. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.18 Build: defconfig EPYC 7713 EPYC 7713 2P 7 14 21 28 35 SE +/- 0.33, N = 4 SE +/- 0.20, N = 7 29.41 21.58
Basis Universal Settings: UASTC Level 3 OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: UASTC Level 3 EPYC 7713 EPYC 7713 2P 4 8 12 16 20 SE +/- 0.01, N = 4 SE +/- 0.07, N = 4 15.39 11.40 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
LZ4 Compression Compression Level: 3 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed EPYC 7713 EPYC 7713 2P 3K 6K 9K 12K 15K SE +/- 23.01, N = 15 SE +/- 16.62, N = 3 14123.3 10743.2 1. (CC) gcc options: -O3
Renaissance Test: ALS Movie Lens OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.14 Test: ALS Movie Lens EPYC 7713 EPYC 7713 2P 5K 10K 15K 20K 25K SE +/- 25.65, N = 3 SE +/- 323.63, N = 4 18814.1 24613.1 MIN: 18778.84 / MAX: 20660.87 MIN: 20413.78 / MAX: 30021.19
LZ4 Compression Compression Level: 9 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed EPYC 7713 EPYC 7713 2P 3K 6K 9K 12K 15K SE +/- 33.09, N = 4 SE +/- 34.05, N = 3 14156.7 10851.4 1. (CC) gcc options: -O3
Renaissance Test: Apache Spark PageRank OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.14 Test: Apache Spark PageRank EPYC 7713 EPYC 7713 2P 900 1800 2700 3600 4500 SE +/- 36.17, N = 4 SE +/- 42.53, N = 12 3067.3 3985.7 MIN: 2704.9 / MAX: 3282.25 MIN: 3177.8 / MAX: 5051.59
WebP2 Image Encode Encode Settings: Quality 95, Compression Effort 7 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 EPYC 7713 EPYC 7713 2P 0.0698 0.1396 0.2094 0.2792 0.349 SE +/- 0.00, N = 3 SE +/- 0.00, N = 7 0.24 0.31 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
Apache HTTP Server Concurrent Requests: 1000 OpenBenchmarking.org Requests Per Second, More Is Better Apache HTTP Server 2.4.48 Concurrent Requests: 1000 EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 83.20, N = 3 SE +/- 151.47, N = 3 109150.30 84767.73 1. (CC) gcc options: -shared -fPIC -O2
JPEG XL Decoding libjxl CPU Threads: All OpenBenchmarking.org MP/s, More Is Better JPEG XL Decoding libjxl 0.6.1 CPU Threads: All EPYC 7713 EPYC 7713 2P 160 320 480 640 800 SE +/- 0.45, N = 4 SE +/- 3.90, N = 3 731.88 569.97
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.4 Time To Compile EPYC 7713 EPYC 7713 2P 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.08, N = 4 18.15 14.27
ONNX Runtime Model: yolov4 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: yolov4 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 90 180 270 360 450 SE +/- 1.15, N = 3 SE +/- 5.46, N = 12 417 330 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
Apache HTTP Server Concurrent Requests: 500 OpenBenchmarking.org Requests Per Second, More Is Better Apache HTTP Server 2.4.48 Concurrent Requests: 500 EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K SE +/- 303.82, N = 3 SE +/- 594.33, N = 3 115006.99 91255.79 1. (CC) gcc options: -shared -fPIC -O2
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.26, N = 4 26.69 21.48 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
SPECjbb 2015 SPECjbb2015-Composite critical-jOPS OpenBenchmarking.org jOPS, More Is Better SPECjbb 2015 SPECjbb2015-Composite critical-jOPS EPYC 7713 EPYC 7713 2P 20K 40K 60K 80K 100K 85389 68946
Liquid-DSP Threads: 64 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 64 - Buffer Length: 256 - Filter Length: 57 EPYC 7713 EPYC 7713 2P 700M 1400M 2100M 2800M 3500M SE +/- 5184056.76, N = 3 SE +/- 2355372.11, N = 3 2577666667 3191533333 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Renaissance Test: In-Memory Database Shootout OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.14 Test: In-Memory Database Shootout EPYC 7713 EPYC 7713 2P 1300 2600 3900 5200 6500 SE +/- 58.97, N = 4 SE +/- 42.85, N = 3 5009.2 6136.4 MIN: 4716.84 / MAX: 5514.55 MIN: 5231.89 / MAX: 7748.89
Timed LLVM Compilation Build System: Unix Makefiles OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 13.0 Build System: Unix Makefiles EPYC 7713 EPYC 7713 2P 50 100 150 200 250 SE +/- 0.36, N = 3 SE +/- 0.32, N = 3 218.45 178.68
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 8K 16K 24K 32K 40K SE +/- 11.83, N = 3 SE +/- 533.11, N = 3 30742.17 37561.07 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
Facebook RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 7.5.3 Test: Read Random Write Random EPYC 7713 EPYC 7713 2P 800K 1600K 2400K 3200K 4000K SE +/- 34091.93, N = 3 SE +/- 5555.94, N = 3 3561841 2922167 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Appleseed Scene: Disney Material OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material EPYC 7713 EPYC 7713 2P 14 28 42 56 70 61.27 50.46
Basis Universal Settings: UASTC Level 2 OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: UASTC Level 2 EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.005, N = 5 SE +/- 0.029, N = 5 10.615 8.773 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
LuxCoreRender Scene: Danish Mood - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: CPU EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.07, N = 3 SE +/- 0.10, N = 15 6.20 7.50 MIN: 2.45 / MAX: 7.36 MIN: 2.67 / MAX: 10.06
Graph500 Scale: 26 OpenBenchmarking.org sssp max_TEPS, More Is Better Graph500 3.0 Scale: 26 EPYC 7713 EPYC 7713 2P 80M 160M 240M 320M 400M 323593000 390377000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.0 Test: Writes EPYC 7713 EPYC 7713 2P 50K 100K 150K 200K 250K SE +/- 786.81, N = 3 SE +/- 1824.75, N = 3 250596 209921
GraphicsMagick Operation: HWB Color Space OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: HWB Color Space EPYC 7713 EPYC 7713 2P 300 600 900 1200 1500 SE +/- 2.96, N = 3 SE +/- 4.67, N = 3 1303 1093 1. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
ONNX Runtime Model: GPT-2 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 2K 4K 6K 8K 10K SE +/- 26.19, N = 3 SE +/- 48.25, N = 3 9368 7878 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
Graph500 Scale: 26 OpenBenchmarking.org sssp median_TEPS, More Is Better Graph500 3.0 Scale: 26 EPYC 7713 EPYC 7713 2P 60M 120M 180M 240M 300M 254477000 302338000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
Zstd Compression Compression Level: 19, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Compression Speed EPYC 7713 EPYC 7713 2P 11 22 33 44 55 SE +/- 0.21, N = 3 SE +/- 0.25, N = 3 47.4 39.9 1. (CC) gcc options: -O3 -pthread -lz -llzma
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7713 EPYC 7713 2P 15 30 45 60 75 SE +/- 0.17, N = 4 SE +/- 0.75, N = 15 56.81 67.17 MIN: 55.32 / MAX: 58.61 MIN: 59.54 / MAX: 73.59
AOM AV1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.4 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 15 30 45 60 75 SE +/- 0.10, N = 5 SE +/- 0.33, N = 5 65.49 55.62 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Facebook RocksDB Test: Update Random OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 7.5.3 Test: Update Random EPYC 7713 EPYC 7713 2P 80K 160K 240K 320K 400K SE +/- 2028.78, N = 3 SE +/- 2065.20, N = 3 358336 304654 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 12K 24K 36K 48K 60K SE +/- 78.11, N = 3 SE +/- 378.72, N = 3 49691.03 57763.89 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.12.1 Variant: Wownero - Hash Count: 1M EPYC 7713 EPYC 7713 2P 9K 18K 27K 36K 45K SE +/- 49.92, N = 3 SE +/- 68.12, N = 3 36467.2 41982.9 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
WebP2 Image Encode Encode Settings: Quality 75, Compression Effort 7 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 EPYC 7713 EPYC 7713 2P 0.1238 0.2476 0.3714 0.4952 0.619 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 0.48 0.55 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenFOAM Input: drivaerFastback, Large Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 9 Input: drivaerFastback, Large Mesh Size - Mesh Time EPYC 7713 EPYC 7713 2P 200 400 600 800 1000 888.82 776.38 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
SVT-HEVC Tuning: 10 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 50 100 150 200 250 SE +/- 0.71, N = 9 SE +/- 2.01, N = 15 223.66 195.62 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: BLAS EPYC 7713 EPYC 7713 2P 1000 2000 3000 4000 5000 SE +/- 30.99, N = 3 SE +/- 49.21, N = 4 3893 4449 1. (CXX) g++ options: -flto -pthread
DaCapo Benchmark Java Test: Tradebeans OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans EPYC 7713 EPYC 7713 2P 1000 2000 3000 4000 5000 SE +/- 31.86, N = 5 SE +/- 35.66, N = 9 3998 4568
NWChem Input: C240 Buckyball OpenBenchmarking.org Seconds, Fewer Is Better NWChem 7.0.2 Input: C240 Buckyball EPYC 7713 EPYC 7713 2P 500 1000 1500 2000 2500 2491.1 2183.6 1. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
Appleseed Scene: Emily OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Emily EPYC 7713 EPYC 7713 2P 30 60 90 120 150 133.04 151.53
Timed Mesa Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 21.0 Time To Compile EPYC 7713 EPYC 7713 2P 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 20.61 18.10
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: Eigen EPYC 7713 EPYC 7713 2P 900 1800 2700 3600 4500 SE +/- 38.17, N = 3 SE +/- 42.95, N = 4 3598 4093 1. (CXX) g++ options: -flto -pthread
miniFE Problem Size: Small OpenBenchmarking.org CG Mflops, More Is Better miniFE 2.2 Problem Size: Small EPYC 7713 EPYC 7713 2P 5K 10K 15K 20K 25K SE +/- 3.33, N = 4 SE +/- 292.61, N = 15 21875.1 24664.8 1. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi
AOM AV1 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.4 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 14 28 42 56 70 SE +/- 0.51, N = 15 SE +/- 0.53, N = 15 63.90 57.04 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenFOAM Input: drivaerFastback, Small Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 9 Input: drivaerFastback, Small Mesh Size - Mesh Time EPYC 7713 EPYC 7713 2P 30 60 90 120 150 139.89 124.96 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
Timed Gem5 Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 21.2 Time To Compile EPYC 7713 EPYC 7713 2P 40 80 120 160 200 SE +/- 1.96, N = 3 SE +/- 1.20, N = 3 176.43 159.02
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile EPYC 7713 EPYC 7713 2P 13 26 39 52 65 SE +/- 0.18, N = 3 SE +/- 0.25, N = 3 58.96 53.23
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer - Model: Asian Dragon EPYC 7713 EPYC 7713 2P 15 30 45 60 75 SE +/- 0.07, N = 5 SE +/- 0.62, N = 15 62.98 68.88 MIN: 61.69 / MAX: 65.06 MIN: 62.6 / MAX: 74.57
Mlpack Benchmark Benchmark: scikit_qda OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda EPYC 7713 EPYC 7713 2P 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.28, N = 15 29.19 31.84
Rodinia Test: OpenMP Leukocyte OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte EPYC 7713 EPYC 7713 2P 11 22 33 44 55 SE +/- 0.47, N = 4 SE +/- 0.41, N = 3 43.39 47.28 1. (CXX) g++ options: -O2 -lOpenCL
Renaissance Test: Apache Spark Bayes OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.14 Test: Apache Spark Bayes EPYC 7713 EPYC 7713 2P 140 280 420 560 700 SE +/- 2.85, N = 3 SE +/- 4.99, N = 3 585.6 638.1 MIN: 368.12 / MAX: 849.82 MIN: 368.33 / MAX: 1098.6
Rodinia Test: OpenMP CFD Solver OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.014, N = 6 SE +/- 0.026, N = 7 6.845 6.283 1. (CXX) g++ options: -O2 -lOpenCL
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 31.02 33.55 MIN: 15.59 / MAX: 49.44 MIN: 14.43 / MAX: 183.11 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 25.97 28.05 MIN: 12.2 / MAX: 39.52 MIN: 10.65 / MAX: 66.97 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 18.93 20.38 MIN: 11.41 / MAX: 69.86 MIN: 8.69 / MAX: 87.48 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU EPYC 7713 EPYC 7713 2P 300 600 900 1200 1500 SE +/- 1.10, N = 3 SE +/- 2.23, N = 3 1293.51 1388.41 MIN: 1118.15 / MAX: 1339.17 MIN: 1233.32 / MAX: 1772.3 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
ONNX Runtime Model: bertsquad-12 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 150 300 450 600 750 SE +/- 0.50, N = 3 SE +/- 2.52, N = 3 713 668 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 60 120 180 240 300 SE +/- 0.42, N = 3 SE +/- 0.60, N = 3 274.57 292.82 MIN: 116.27 / MAX: 347.98 MIN: 139.85 / MAX: 449.45 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 20.82 22.16 MIN: 12.46 / MAX: 44.77 MIN: 11.48 / MAX: 97.44 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
SVT-AV1 Encoder Mode: Preset 10 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.47, N = 7 SE +/- 0.78, N = 6 131.27 123.81 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Timed Godot Game Engine Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Godot Game Engine Compilation 3.2.3 Time To Compile EPYC 7713 EPYC 7713 2P 10 20 30 40 50 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 43.35 41.17
SVT-HEVC Tuning: 7 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.23, N = 7 SE +/- 0.72, N = 6 137.74 144.70 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
srsRAN Test: OFDM_Test OpenBenchmarking.org Samples / Second, More Is Better srsRAN 22.04.1 Test: OFDM_Test EPYC 7713 EPYC 7713 2P 30M 60M 90M 120M 150M SE +/- 1516941.37, N = 3 SE +/- 1304266.50, N = 3 136633333 130333333 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 8 16 24 32 40 SE +/- 0.14, N = 3 SE +/- 0.25, N = 3 34.17 35.75 MIN: 17.07 / MAX: 68.69 MIN: 18.65 / MAX: 151.87 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 1000 2000 3000 4000 5000 SE +/- 8.17, N = 3 SE +/- 16.64, N = 3 4601.78 4777.15 MIN: 2414.7 / MAX: 5219.01 MIN: 2420.5 / MAX: 6044.24 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
LibRaw Post-Processing Benchmark OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark EPYC 7713 EPYC 7713 2P 9 18 27 36 45 SE +/- 0.18, N = 3 SE +/- 0.12, N = 3 39.40 37.96 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
JPEG XL libjxl Input: JPEG - Encode Speed: 7 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.6.1 Input: JPEG - Encode Speed: 7 EPYC 7713 EPYC 7713 2P 20 40 60 80 100 SE +/- 0.16, N = 5 SE +/- 0.79, N = 10 104.58 100.77 1. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU EPYC 7713 EPYC 7713 2P 1000 2000 3000 4000 5000 SE +/- 5.38, N = 3 SE +/- 9.45, N = 3 4600.94 4774.37 MIN: 2381.08 / MAX: 5204.91 MIN: 2371.17 / MAX: 6026.05 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
Timed PHP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 8.1.9 Time To Compile EPYC 7713 EPYC 7713 2P 9 18 27 36 45 SE +/- 0.41, N = 3 SE +/- 0.46, N = 3 39.76 38.34
Kvazaar Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7713 EPYC 7713 2P 13 26 39 52 65 SE +/- 0.82, N = 15 SE +/- 0.59, N = 6 56.53 58.52 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
JPEG XL libjxl Input: PNG - Encode Speed: 7 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.6.1 Input: PNG - Encode Speed: 7 EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 11.11 10.74 1. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie
PJSIP Method: OPTIONS, Stateful OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: OPTIONS, Stateful EPYC 7713 EPYC 7713 2P 2K 4K 6K 8K 10K SE +/- 72.18, N = 3 SE +/- 15.60, N = 3 9115 8819 1. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
Renaissance Test: Genetic Algorithm Using Jenetics + Futures OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.14 Test: Genetic Algorithm Using Jenetics + Futures EPYC 7713 EPYC 7713 2P 500 1000 1500 2000 2500 SE +/- 24.42, N = 3 SE +/- 20.78, N = 3 2243.2 2314.9 MIN: 2049.08 / MAX: 2446.27 MIN: 2126.5 / MAX: 2897.34
Graph500 Scale: 26 OpenBenchmarking.org bfs median_TEPS, More Is Better Graph500 3.0 Scale: 26 EPYC 7713 EPYC 7713 2P 140M 280M 420M 560M 700M 622681000 642516000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
libavif avifenc Encoder Speed: 10, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.10 Encoder Speed: 10, Lossless EPYC 7713 EPYC 7713 2P 1.2506 2.5012 3.7518 5.0024 6.253 SE +/- 0.011, N = 7 SE +/- 0.021, N = 7 5.398 5.558 1. (CXX) g++ options: -O3 -fPIC -lm
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 16 32 48 64 80 SE +/- 0.18, N = 5 SE +/- 0.45, N = 5 70.78 68.80 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
libavif avifenc Encoder Speed: 6 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.10 Encoder Speed: 6 EPYC 7713 EPYC 7713 2P 0.8903 1.7806 2.6709 3.5612 4.4515 SE +/- 0.024, N = 8 SE +/- 0.022, N = 8 3.846 3.957 1. (CXX) g++ options: -O3 -fPIC -lm
Node.js Express HTTP Load Test OpenBenchmarking.org Requests Per Second, More Is Better Node.js Express HTTP Load Test EPYC 7713 EPYC 7713 2P 1400 2800 4200 5600 7000 SE +/- 32.02, N = 4 SE +/- 59.99, N = 4 6367 6198
Graph500 Scale: 26 OpenBenchmarking.org bfs max_TEPS, More Is Better Graph500 3.0 Scale: 26 EPYC 7713 EPYC 7713 2P 140M 280M 420M 560M 700M 642278000 659467000 1. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
LZ4 Compression Compression Level: 9 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed EPYC 7713 EPYC 7713 2P 12 24 36 48 60 SE +/- 0.66, N = 4 SE +/- 0.20, N = 3 53.89 52.51 1. (CC) gcc options: -O3
TNN Target: CPU - Model: MobileNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: MobileNet v2 EPYC 7713 EPYC 7713 2P 70 140 210 280 350 SE +/- 0.13, N = 3 SE +/- 0.48, N = 3 332.61 341.28 MIN: 331.37 / MAX: 346.44 MIN: 339.15 / MAX: 401.2 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
Basis Universal Settings: UASTC Level 0 OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: UASTC Level 0 EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.006, N = 7 SE +/- 0.015, N = 6 6.221 6.379 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Mlpack Benchmark Benchmark: scikit_ica OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_ica EPYC 7713 EPYC 7713 2P 11 22 33 44 55 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 45.27 46.40
Ngspice Circuit: C7552 OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C7552 EPYC 7713 EPYC 7713 2P 20 40 60 80 100 SE +/- 0.58, N = 3 SE +/- 0.54, N = 3 103.39 105.95 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
LZ4 Compression Compression Level: 3 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed EPYC 7713 EPYC 7713 2P 12 24 36 48 60 SE +/- 0.38, N = 15 SE +/- 0.40, N = 3 55.43 54.18 1. (CC) gcc options: -O3
SPECjbb 2015 SPECjbb2015-Composite max-jOPS OpenBenchmarking.org jOPS, More Is Better SPECjbb 2015 SPECjbb2015-Composite max-jOPS EPYC 7713 EPYC 7713 2P 30K 60K 90K 120K 150K 127957 130899
GraphicsMagick Operation: Rotate OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Rotate EPYC 7713 EPYC 7713 2P 160 320 480 640 800 SE +/- 1.00, N = 3 SE +/- 7.54, N = 3 746 730 1. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Google Draco Model: Lion OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.0 Model: Lion EPYC 7713 EPYC 7713 2P 1200 2400 3600 4800 6000 SE +/- 13.48, N = 6 SE +/- 20.00, N = 6 5613 5735 1. (CXX) g++ options: -O3
Zstd Compression Compression Level: 19 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Decompression Speed EPYC 7713 EPYC 7713 2P 700 1400 2100 2800 3500 SE +/- 14.77, N = 3 SE +/- 23.51, N = 3 3401.6 3473.0 1. (CC) gcc options: -O3 -pthread -lz -llzma
Timed Apache Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile EPYC 7713 EPYC 7713 2P 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 20.10 20.52
libavif avifenc Encoder Speed: 6, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.10 Encoder Speed: 6, Lossless EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.022, N = 6 SE +/- 0.018, N = 6 7.184 7.334 1. (CXX) g++ options: -O3 -fPIC -lm
Timed CPython Compilation Build Configuration: Default OpenBenchmarking.org Seconds, Fewer Is Better Timed CPython Compilation 3.10.6 Build Configuration: Default EPYC 7713 EPYC 7713 2P 4 8 12 16 20 15.71 15.39
JPEG XL libjxl Input: PNG - Encode Speed: 8 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.6.1 Input: PNG - Encode Speed: 8 EPYC 7713 EPYC 7713 2P 0.2295 0.459 0.6885 0.918 1.1475 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.02 1.00 1. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie
LuaRadio Test: Five Back to Back FIR Filters OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: Five Back to Back FIR Filters EPYC 7713 EPYC 7713 2P 300 600 900 1200 1500 SE +/- 13.28, N = 3 SE +/- 4.33, N = 3 1189.0 1211.6
DaCapo Benchmark Java Test: Jython OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7713 EPYC 7713 2P 900 1800 2700 3600 4500 SE +/- 15.40, N = 7 SE +/- 23.41, N = 7 4033 4106
Google Draco Model: Church Facade OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.0 Model: Church Facade EPYC 7713 EPYC 7713 2P 1600 3200 4800 6400 8000 SE +/- 13.40, N = 5 SE +/- 3.69, N = 5 7411 7525 1. (CXX) g++ options: -O3
ClickHouse 100M Rows Web Analytics Dataset, Second Run OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run EPYC 7713 EPYC 7713 2P 90 180 270 360 450 SE +/- 2.54, N = 15 SE +/- 2.92, N = 3 392.92 387.01 MIN: 41.75 / MAX: 30000 MIN: 63.9 / MAX: 20000 1. ClickHouse server version 22.5.4.19 (official build).
PJSIP Method: OPTIONS, Stateless OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: OPTIONS, Stateless EPYC 7713 EPYC 7713 2P 14K 28K 42K 56K 70K SE +/- 187.70, N = 3 SE +/- 232.96, N = 3 66602 67617 1. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
WebP Image Encode Encode Settings: Quality 100, Lossless OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless EPYC 7713 EPYC 7713 2P 0.3195 0.639 0.9585 1.278 1.5975 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.40 1.42 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
TNN Target: CPU - Model: DenseNet OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: DenseNet EPYC 7713 EPYC 7713 2P 700 1400 2100 2800 3500 SE +/- 0.99, N = 3 SE +/- 3.94, N = 3 3107.10 3065.92 MIN: 3090.23 / MAX: 3134.07 MIN: 3032.01 / MAX: 3618.4 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
srsRAN Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM EPYC 7713 EPYC 7713 2P 90 180 270 360 450 SE +/- 0.18, N = 3 SE +/- 0.64, N = 3 431.8 426.1 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU EPYC 7713 EPYC 7713 2P 800 1600 2400 3200 4000 SE +/- 2.50, N = 3 SE +/- 39.69, N = 5 3555.78 3597.47 MIN: 3306.65 / MAX: 3702.18 MIN: 1881.18 / MAX: 6268.95 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
JPEG XL libjxl Input: JPEG - Encode Speed: 8 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.6.1 Input: JPEG - Encode Speed: 8 EPYC 7713 EPYC 7713 2P 7 14 21 28 35 SE +/- 0.17, N = 5 SE +/- 0.04, N = 5 29.24 28.92 1. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie
libavif avifenc Encoder Speed: 2 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.10 Encoder Speed: 2 EPYC 7713 EPYC 7713 2P 9 18 27 36 45 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 40.77 41.21 1. (CXX) g++ options: -O3 -fPIC -lm
Numpy Benchmark OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7713 EPYC 7713 2P 100 200 300 400 500 SE +/- 0.32, N = 3 SE +/- 0.78, N = 3 464.56 469.38
JPEG XL Decoding libjxl CPU Threads: 1 OpenBenchmarking.org MP/s, More Is Better JPEG XL Decoding libjxl 0.6.1 CPU Threads: 1 EPYC 7713 EPYC 7713 2P 15 30 45 60 75 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 67.62 66.93
PHPBench PHP Benchmark Suite OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7713 EPYC 7713 2P 160K 320K 480K 640K 800K SE +/- 5040.99, N = 3 SE +/- 2382.18, N = 3 733332 726003
Ngspice Circuit: C2670 OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C2670 EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.70, N = 3 SE +/- 0.58, N = 3 136.02 137.36 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
Node.js V8 Web Tooling Benchmark OpenBenchmarking.org runs/s, More Is Better Node.js V8 Web Tooling Benchmark EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 10.60 10.50
srsRAN Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM EPYC 7713 EPYC 7713 2P 90 180 270 360 450 SE +/- 0.59, N = 4 SE +/- 2.15, N = 15 396.0 392.3 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
PyPerformance Benchmark: python_startup OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 7.64 7.71
LuaRadio Test: Complex Phase OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: Complex Phase EPYC 7713 EPYC 7713 2P 140 280 420 560 700 SE +/- 0.40, N = 3 SE +/- 0.67, N = 3 628.9 623.8
srsRAN Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.18, N = 3 SE +/- 0.52, N = 3 128.9 127.9 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
SecureMark Benchmark: SecureMark-TLS OpenBenchmarking.org marks, More Is Better SecureMark 1.0.4 Benchmark: SecureMark-TLS EPYC 7713 EPYC 7713 2P 50K 100K 150K 200K 250K SE +/- 2502.24, N = 3 SE +/- 512.51, N = 3 247747 249582 1. (CC) gcc options: -pedantic -O3
Zstd Compression Compression Level: 19, Long Mode - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Decompression Speed EPYC 7713 EPYC 7713 2P 700 1400 2100 2800 3500 SE +/- 14.37, N = 3 SE +/- 21.87, N = 3 3460.3 3485.8 1. (CC) gcc options: -O3 -pthread -lz -llzma
PyPerformance Benchmark: chaos OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: chaos EPYC 7713 EPYC 7713 2P 20 40 60 80 100 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 96.5 95.8
srsRAN Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM EPYC 7713 EPYC 7713 2P 90 180 270 360 450 SE +/- 1.02, N = 3 SE +/- 0.95, N = 3 430.5 427.4 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
PyPerformance Benchmark: regex_compile OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: regex_compile EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 156 155
PyBench Total For Average Test Times OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7713 EPYC 7713 2P 200 400 600 800 1000 SE +/- 4.10, N = 3 SE +/- 2.60, N = 3 959 953
Quantum ESPRESSO Input: AUSURF112 OpenBenchmarking.org Seconds, Fewer Is Better Quantum ESPRESSO 7.0 Input: AUSURF112 EPYC 7713 EPYC 7713 2P 90 180 270 360 450 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 397.64 399.92 1. (F9X) gfortran options: -pthread -fopenmp -ldevXlib -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3_omp -lfftw3 -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
GNU Octave Benchmark OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 6.4.0 EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.020, N = 6 SE +/- 0.021, N = 6 6.582 6.545
Mlpack Benchmark Benchmark: scikit_svm OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm EPYC 7713 EPYC 7713 2P 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 21.33 21.45
Liquid-DSP Threads: 32 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 32 - Buffer Length: 256 - Filter Length: 57 EPYC 7713 EPYC 7713 2P 300M 600M 900M 1200M 1500M SE +/- 1217009.08, N = 3 SE +/- 6470531.49, N = 3 1605566667 1614266667 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
simdjson Throughput Test: PartialTweets OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: PartialTweets EPYC 7713 EPYC 7713 2P 0.8685 1.737 2.6055 3.474 4.3425 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 3.86 3.84 1. (CXX) g++ options: -O3
PyPerformance Benchmark: pickle_pure_python OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pickle_pure_python EPYC 7713 EPYC 7713 2P 80 160 240 320 400 SE +/- 1.45, N = 3 SE +/- 1.00, N = 3 387 385
QuantLib OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.21 EPYC 7713 EPYC 7713 2P 600 1200 1800 2400 3000 SE +/- 28.31, N = 3 SE +/- 1.70, N = 3 2795.3 2808.8 1. (CXX) g++ options: -O3 -march=native -rdynamic
ClickHouse 100M Rows Web Analytics Dataset, Third Run OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run EPYC 7713 EPYC 7713 2P 90 180 270 360 450 SE +/- 1.58, N = 15 SE +/- 2.46, N = 3 394.98 396.82 MIN: 40.79 / MAX: 20000 MIN: 60.67 / MAX: 20000 1. ClickHouse server version 22.5.4.19 (official build).
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: DistinctUserID EPYC 7713 EPYC 7713 2P 0.9945 1.989 2.9835 3.978 4.9725 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.40 4.42 1. (CXX) g++ options: -O3
TNN Target: CPU - Model: SqueezeNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v2 EPYC 7713 EPYC 7713 2P 15 30 45 60 75 SE +/- 0.23, N = 8 SE +/- 0.18, N = 8 65.62 65.89 MIN: 64.64 / MAX: 71.42 MIN: 65.21 / MAX: 67.08 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
WebP Image Encode Encode Settings: Quality 100 OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100 EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.01, N = 10 SE +/- 0.00, N = 10 10.69 10.65 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
Etcpak Benchmark: Multi-Threaded - Configuration: ETC2 OpenBenchmarking.org Mpx/s, More Is Better Etcpak 1.0 Benchmark: Multi-Threaded - Configuration: ETC2 EPYC 7713 EPYC 7713 2P 1400 2800 4200 5600 7000 SE +/- 15.08, N = 9 SE +/- 36.45, N = 8 6702.52 6678.57 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
Etcpak Benchmark: Single-Threaded - Configuration: ETC2 OpenBenchmarking.org Mpx/s, More Is Better Etcpak 1.0 Benchmark: Single-Threaded - Configuration: ETC2 EPYC 7713 EPYC 7713 2P 50 100 150 200 250 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 230.43 229.64 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
srsRAN Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM EPYC 7713 EPYC 7713 2P 14 28 42 56 70 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 62.4 62.2 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
Cython Benchmark Test: N-Queens OpenBenchmarking.org Seconds, Fewer Is Better Cython Benchmark 0.29.21 Test: N-Queens EPYC 7713 EPYC 7713 2P 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 23.38 23.31
LuaRadio Test: FM Deemphasis Filter OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: FM Deemphasis Filter EPYC 7713 EPYC 7713 2P 80 160 240 320 400 SE +/- 0.12, N = 3 SE +/- 0.33, N = 3 365.4 364.3
WebP Image Encode Encode Settings: Quality 100, Highest Compression OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression EPYC 7713 EPYC 7713 2P 0.783 1.566 2.349 3.132 3.915 SE +/- 0.00, N = 6 SE +/- 0.00, N = 6 3.48 3.47 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
srsRAN Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 141.4 141.0 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
ClickHouse 100M Rows Web Analytics Dataset, First Run / Cold Cache OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache EPYC 7713 EPYC 7713 2P 80 160 240 320 400 SE +/- 3.68, N = 15 SE +/- 4.60, N = 3 378.44 377.52 MIN: 37.15 / MAX: 20000 MIN: 43.89 / MAX: 20000 1. ClickHouse server version 22.5.4.19 (official build).
LAME MP3 Encoding WAV To MP3 OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.005, N = 6 SE +/- 0.006, N = 6 7.472 7.490 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
Zstd Compression Compression Level: 19 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Compression Speed EPYC 7713 EPYC 7713 2P 20 40 60 80 100 SE +/- 0.84, N = 3 SE +/- 1.20, N = 3 84.9 84.7 1. (CC) gcc options: -O3 -pthread -lz -llzma
LuaRadio Test: Hilbert Transform OpenBenchmarking.org MiB/s, More Is Better LuaRadio 0.9.1 Test: Hilbert Transform EPYC 7713 EPYC 7713 2P 20 40 60 80 100 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 98.6 98.4
Timed Wasmer Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Wasmer Compilation 2.3 Time To Compile EPYC 7713 EPYC 7713 2P 12 24 36 48 60 SE +/- 0.11, N = 3 SE +/- 0.51, N = 3 51.97 51.87 1. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
WebP Image Encode Encode Settings: Default OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Default EPYC 7713 EPYC 7713 2P 4 8 12 16 20 SE +/- 0.01, N = 11 SE +/- 0.01, N = 11 16.78 16.75 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
TNN Target: CPU - Model: SqueezeNet v1.1 OpenBenchmarking.org ms, Fewer Is Better TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 EPYC 7713 EPYC 7713 2P 60 120 180 240 300 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 273.48 273.85 MIN: 273.31 / MAX: 275.21 MIN: 273.49 / MAX: 274.55 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
Google SynthMark Test: VoiceMark_100 OpenBenchmarking.org Voices, More Is Better Google SynthMark 20201109 Test: VoiceMark_100 EPYC 7713 EPYC 7713 2P 160 320 480 640 800 SE +/- 1.04, N = 3 SE +/- 0.12, N = 3 747.31 748.06 1. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
srsRAN Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM EPYC 7713 EPYC 7713 2P 90 180 270 360 450 SE +/- 2.00, N = 3 SE +/- 0.24, N = 3 394.4 394.1 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
srsRAN Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.30, N = 3 SE +/- 0.46, N = 3 133.7 133.6 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
Aircrack-ng OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.7 EPYC 7713 EPYC 7713 2P 30K 60K 90K 120K 150K SE +/- 854.57, N = 3 SE +/- 293.66, N = 3 149666.94 149778.80 1. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
PJSIP Method: INVITE OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: INVITE EPYC 7713 EPYC 7713 2P 1000 2000 3000 4000 5000 SE +/- 16.00, N = 3 SE +/- 8.69, N = 3 4690 4692 1. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
FLAC Audio Encoding WAV To FLAC OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.4 WAV To FLAC EPYC 7713 EPYC 7713 2P 4 8 12 16 20 SE +/- 0.01, N = 5 SE +/- 0.01, N = 5 18.13 18.13 1. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
Timed CPython Compilation Build Configuration: Released Build, PGO + LTO Optimized OpenBenchmarking.org Seconds, Fewer Is Better Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized EPYC 7713 EPYC 7713 2P 60 120 180 240 300 261.37 261.34
Meta Performance Per Watts Performance Per Watts OpenBenchmarking.org Performance Per Watts, More Is Better Meta Performance Per Watts Performance Per Watts EPYC 7713 600 1200 1800 2400 3000 2802.51
ctx_clock Context Switch Time OpenBenchmarking.org Clocks, Fewer Is Better ctx_clock Context Switch Time EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.00, N = 13 SE +/- 0.00, N = 13 120 120
BLAKE2 OpenBenchmarking.org Cycles Per Byte, Fewer Is Better BLAKE2 20170307 EPYC 7713 EPYC 7713 2P 0.7628 1.5256 2.2884 3.0512 3.814 SE +/- 0.00, N = 14 SE +/- 0.00, N = 14 3.39 3.39 1. (CC) gcc options: -O3 -march=native -lcrypto -lz
srsRAN Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.86, N = 3 SE +/- 0.29, N = 3 149.6 149.6 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
srsRAN Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM EPYC 7713 EPYC 7713 2P 30 60 90 120 150 SE +/- 0.23, N = 4 SE +/- 0.20, N = 15 143.6 143.6 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
simdjson Throughput Test: TopTweet OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: TopTweet EPYC 7713 EPYC 7713 2P 0.9878 1.9756 2.9634 3.9512 4.939 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 4.39 4.39 1. (CXX) g++ options: -O3
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: Kostya EPYC 7713 EPYC 7713 2P 0.6525 1.305 1.9575 2.61 3.2625 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.9 2.9 1. (CXX) g++ options: -O3
simdjson Throughput Test: LargeRandom OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: LargeRandom EPYC 7713 EPYC 7713 2P 0.225 0.45 0.675 0.9 1.125 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1 1 1. (CXX) g++ options: -O3
WebP Image Encode Encode Settings: Quality 100, Lossless, Highest Compression OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression EPYC 7713 EPYC 7713 2P 0.126 0.252 0.378 0.504 0.63 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.56 0.56 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
CPU Power Consumption Monitor Phoronix Test Suite System Monitoring OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring EPYC 7713 40 80 120 160 200 Min: 18.73 / Avg: 175.52 / Max: 233.05
GNU Octave Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 73.6 119.2 OpenBenchmarking.org Watts, Fewer Is Better GNU Octave Benchmark 6.4.0 CPU Power Consumption Monitor 40 80 120 160 200
SPECjbb 2015 CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better SPECjbb 2015 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 80 160 240 320 400 Min: 37.88 / Avg: 171.23 / Max: 224.72 Min: 77.79 / Avg: 350.16 / Max: 445.79
SPECjbb 2015 SPECjbb2015-Composite critical-jOPS OpenBenchmarking.org jOPS Per Watt, More Is Better SPECjbb 2015 SPECjbb2015-Composite critical-jOPS EPYC 7713 EPYC 7713 2P 110 220 330 440 550 498.68 196.90
Aircrack-ng CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.2 203.2 230.1 EPYC 7713 2P 81.1 397.2 445.2 OpenBenchmarking.org Watts, Fewer Is Better Aircrack-ng 1.7 CPU Power Consumption Monitor 120 240 360 480 600
Aircrack-ng OpenBenchmarking.org k/s Per Watt, More Is Better Aircrack-ng 1.7 EPYC 7713 EPYC 7713 2P 160 320 480 640 800 736.47 377.12
Stockfish CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.3 220.3 230.4 EPYC 7713 2P 80.2 438.6 460.8 OpenBenchmarking.org Watts, Fewer Is Better Stockfish 15 CPU Power Consumption Monitor 120 240 360 480 600
Stockfish Total Time OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Stockfish 15 Total Time EPYC 7713 EPYC 7713 2P 150K 300K 450K 600K 750K 678106.61 637159.42
Stockfish Total Time OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 15 Total Time EPYC 7713 EPYC 7713 2P 60M 120M 180M 240M 300M SE +/- 3372481.12, N = 12 SE +/- 4884547.18, N = 15 149383689 279486942 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
asmFish CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 221.6 230.2 EPYC 7713 2P 80.3 444.2 461.1 OpenBenchmarking.org Watts, Fewer Is Better asmFish 2018-07-23 CPU Power Consumption Monitor 120 240 360 480 600
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second Per Watt, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth EPYC 7713 EPYC 7713 2P 130K 260K 390K 520K 650K 626117.05 560328.94
SecureMark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 74.4 75.4 EPYC 7713 2P 79.8 149.4 154.8 OpenBenchmarking.org Watts, Fewer Is Better SecureMark 1.0.4 CPU Power Consumption Monitor 40 80 120 160 200
SecureMark Benchmark: SecureMark-TLS OpenBenchmarking.org marks Per Watt, More Is Better SecureMark 1.0.4 Benchmark: SecureMark-TLS EPYC 7713 EPYC 7713 2P 700 1400 2100 2800 3500 3330.25 1670.40
Google SynthMark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 69.1 74.2 EPYC 7713 2P 79.9 139.6 148.3 OpenBenchmarking.org Watts, Fewer Is Better Google SynthMark 20201109 CPU Power Consumption Monitor 40 80 120 160 200
Google SynthMark Test: VoiceMark_100 OpenBenchmarking.org Voices Per Watt, More Is Better Google SynthMark 20201109 Test: VoiceMark_100 EPYC 7713 EPYC 7713 2P 3 6 9 12 15 10.817 5.359
Coremark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 210.7 229.9 EPYC 7713 2P 80.2 400.5 461.7 OpenBenchmarking.org Watts, Fewer Is Better Coremark 1.0 CPU Power Consumption Monitor 120 240 360 480 600
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec Per Watt, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7713 EPYC 7713 2P 2K 4K 6K 8K 10K 9708.04 10250.92
m-queens CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 178.3 230.1 EPYC 7713 2P 80.1 309.7 460.6 OpenBenchmarking.org Watts, Fewer Is Better m-queens 1.2 CPU Power Consumption Monitor 120 240 360 480 600
ctx_clock CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 45.5 72.6 EPYC 7713 2P 80.6 98.4 148.7 OpenBenchmarking.org Watts, Fewer Is Better ctx_clock CPU Power Consumption Monitor 40 80 120 160 200
Sysbench CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 114.5 147.2 EPYC 7713 2P 80.4 248.9 306.9 OpenBenchmarking.org Watts, Fewer Is Better Sysbench 1.0.20 CPU Power Consumption Monitor 80 160 240 320 400
Sysbench Test: RAM / Memory OpenBenchmarking.org MiB/sec Per Watt, More Is Better Sysbench 1.0.20 Test: RAM / Memory EPYC 7713 EPYC 7713 2P 20 40 60 80 100 87.28 29.18
Sysbench CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 212.8 221.7 EPYC 7713 2P 81.4 433.9 456.4 OpenBenchmarking.org Watts, Fewer Is Better Sysbench 1.0.20 CPU Power Consumption Monitor 120 240 360 480 600
Sysbench Test: CPU OpenBenchmarking.org Events Per Second Per Watt, More Is Better Sysbench 1.0.20 Test: CPU EPYC 7713 EPYC 7713 2P 300 600 900 1200 1500 1186.32 1152.51
Xmrig CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.0 199.6 229.3 EPYC 7713 2P 81.4 388.7 457.6 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.12.1 CPU Power Consumption Monitor 120 240 360 480 600
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.12.1 Variant: Wownero - Hash Count: 1M EPYC 7713 EPYC 7713 2P 40 80 120 160 200 182.74 108.02
Xmrig CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 204.1 226.2 EPYC 7713 2P 80.4 374.9 459.8 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.12.1 CPU Power Consumption Monitor 120 240 360 480 600
Xmrig Variant: Monero - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.12.1 Variant: Monero - Hash Count: 1M EPYC 7713 EPYC 7713 2P 30 60 90 120 150 140.22 135.37
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.2 224.7 230.7 EPYC 7713 2P 80.6 451.8 460.6 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.0 CPU Power Consumption Monitor 120 240 360 480 600
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.0 Algorithm: SHA256 EPYC 7713 EPYC 7713 2P 60M 120M 180M 240M 300M 303100481.37 298000025.39
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.0 216.2 230.3 EPYC 7713 2P 79.5 435.3 461.5 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.0 CPU Power Consumption Monitor 120 240 360 480 600
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s Per Watt, More Is Better OpenSSL 3.0 Algorithm: RSA4096 EPYC 7713 EPYC 7713 2P 800 1600 2400 3200 4000 3819.78 3763.26
BLAKE2 CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.0 42.9 62.1 EPYC 7713 2P 79.5 91.3 129.4 OpenBenchmarking.org Watts, Fewer Is Better BLAKE2 20170307 CPU Power Consumption Monitor 40 80 120 160 200
LAME MP3 Encoding CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 62.4 75.8 EPYC 7713 2P 80.2 128.1 152.7 OpenBenchmarking.org Watts, Fewer Is Better LAME MP3 Encoding 3.100 CPU Power Consumption Monitor 40 80 120 160 200
FLAC Audio Encoding CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 69.7 79.2 EPYC 7713 2P 80.8 141.2 157.0 OpenBenchmarking.org Watts, Fewer Is Better FLAC Audio Encoding 1.4 CPU Power Consumption Monitor 40 80 120 160 200
Primesieve CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.2 216.1 231.0 EPYC 7713 2P 81.7 407.9 460.7 OpenBenchmarking.org Watts, Fewer Is Better Primesieve 8.0 CPU Power Consumption Monitor 120 240 360 480 600
Helsing CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.1 222.6 233.0 EPYC 7713 2P 79.7 434.6 461.0 OpenBenchmarking.org Watts, Fewer Is Better Helsing 1.0-beta CPU Power Consumption Monitor 120 240 360 480 600
QuantLib CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 71.6 76.8 EPYC 7713 2P 79.7 142.3 154.2 OpenBenchmarking.org Watts, Fewer Is Better QuantLib 1.21 CPU Power Consumption Monitor 40 80 120 160 200
QuantLib OpenBenchmarking.org MFLOPS Per Watt, More Is Better QuantLib 1.21 EPYC 7713 EPYC 7713 2P 9 18 27 36 45 39.07 19.75
GNU Octave Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 2P 80.6 142.1 211.3 OpenBenchmarking.org Watts, Fewer Is Better GNU Octave Benchmark CPU Power Consumption Monitor 60 120 180 240 300
Ngspice CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 78.5 91.8 EPYC 7713 2P 80.7 153.5 168.7 OpenBenchmarking.org Watts, Fewer Is Better Ngspice 34 CPU Power Consumption Monitor 50 100 150 200 250
Ngspice CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 80.9 90.0 EPYC 7713 2P 81.2 162.3 170.8 OpenBenchmarking.org Watts, Fewer Is Better Ngspice 34 CPU Power Consumption Monitor 50 100 150 200 250
PJSIP CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 82.0 93.3 EPYC 7713 2P 80.4 157.7 174.4 OpenBenchmarking.org Watts, Fewer Is Better PJSIP 2.11 CPU Power Consumption Monitor 50 100 150 200 250
PJSIP Method: INVITE OpenBenchmarking.org Responses Per Second Per Watt, More Is Better PJSIP 2.11 Method: INVITE EPYC 7713 EPYC 7713 2P 13 26 39 52 65 57.21 29.75
PJSIP CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 88.2 99.4 EPYC 7713 2P 80.7 160.0 181.8 OpenBenchmarking.org Watts, Fewer Is Better PJSIP 2.11 CPU Power Consumption Monitor 50 100 150 200 250
PJSIP Method: OPTIONS, Stateless OpenBenchmarking.org Responses Per Second Per Watt, More Is Better PJSIP 2.11 Method: OPTIONS, Stateless EPYC 7713 EPYC 7713 2P 160 320 480 640 800 754.96 422.51
PJSIP CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 79.3 95.7 EPYC 7713 2P 80.9 153.6 170.4 OpenBenchmarking.org Watts, Fewer Is Better PJSIP 2.11 CPU Power Consumption Monitor 50 100 150 200 250
PJSIP Method: OPTIONS, Stateful OpenBenchmarking.org Responses Per Second Per Watt, More Is Better PJSIP 2.11 Method: OPTIONS, Stateful EPYC 7713 EPYC 7713 2P 30 60 90 120 150 114.92 57.42
Liquid-DSP CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 197.6 230.3 EPYC 7713 2P 80.5 395.7 460.6 OpenBenchmarking.org Watts, Fewer Is Better Liquid-DSP 2021.01.31 CPU Power Consumption Monitor 120 240 360 480 600
Liquid-DSP Threads: 256 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 256 - Buffer Length: 256 - Filter Length: 57 EPYC 7713 EPYC 7713 2P 3M 6M 9M 12M 15M 14002290.29 13522276.42
Liquid-DSP CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 196.4 230.3 EPYC 7713 2P 79.4 394.2 460.6 OpenBenchmarking.org Watts, Fewer Is Better Liquid-DSP 2021.01.31 CPU Power Consumption Monitor 120 240 360 480 600
Liquid-DSP Threads: 128 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 128 - Buffer Length: 256 - Filter Length: 57 EPYC 7713 EPYC 7713 2P 3M 6M 9M 12M 15M 13782846.12 12899838.02
Liquid-DSP CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 197.2 230.3 EPYC 7713 2P 79.7 374.7 438.4 OpenBenchmarking.org Watts, Fewer Is Better Liquid-DSP 2021.01.31 CPU Power Consumption Monitor 110 220 330 440 550
Liquid-DSP Threads: 64 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 64 - Buffer Length: 256 - Filter Length: 57 EPYC 7713 EPYC 7713 2P 3M 6M 9M 12M 15M 13069058.45 8517166.22
Liquid-DSP CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 179.9 211.6 EPYC 7713 2P 80.3 261.1 314.8 OpenBenchmarking.org Watts, Fewer Is Better Liquid-DSP 2021.01.31 CPU Power Consumption Monitor 80 160 240 320 400
Liquid-DSP Threads: 32 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 32 - Buffer Length: 256 - Filter Length: 57 EPYC 7713 EPYC 7713 2P 2M 4M 6M 8M 10M 8924738.57 6183433.64
srsRAN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.1 75.0 80.4 EPYC 7713 2P 80.7 146.9 158.5 OpenBenchmarking.org Watts, Fewer Is Better srsRAN 22.04.1 CPU Power Consumption Monitor 50 100 150 200 250
srsRAN Test: OFDM_Test OpenBenchmarking.org Samples / Second Per Watt, More Is Better srsRAN 22.04.1 Test: OFDM_Test EPYC 7713 EPYC 7713 2P 400K 800K 1200K 1600K 2000K 1822001.36 887112.35
srsRAN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 69.5 76.0 EPYC 7713 2P 80.5 139.8 151.0 OpenBenchmarking.org Watts, Fewer Is Better srsRAN 22.04.1 CPU Power Consumption Monitor 40 80 120 160 200
srsRAN Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM OpenBenchmarking.org UE Mb/s Per Watt, More Is Better srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM EPYC 7713 EPYC 7713 2P 0.2018 0.4036 0.6054 0.8072 1.009 0.897 0.445
srsRAN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 72.7 76.8 EPYC 7713 2P 80.5 145.3 155.3 OpenBenchmarking.org Watts, Fewer Is Better srsRAN 22.04.1 CPU Power Consumption Monitor 40 80 120 160 200
srsRAN Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM OpenBenchmarking.org UE Mb/s Per Watt, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM EPYC 7713 EPYC 7713 2P 0.4374 0.8748 1.3122 1.7496 2.187 1.944 0.970
srsRAN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 72.5 76.8 EPYC 7713 2P 80.5 144.3 155.4 OpenBenchmarking.org Watts, Fewer Is Better srsRAN 22.04.1 CPU Power Consumption Monitor 40 80 120 160 200
srsRAN Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM OpenBenchmarking.org UE Mb/s Per Watt, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM EPYC 7713 EPYC 7713 2P 0.4149 0.8298 1.2447 1.6596 2.0745 1.844 0.926
srsRAN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 69.8 76.8 EPYC 7713 2P 80.5 140.0 154.8 OpenBenchmarking.org Watts, Fewer Is Better srsRAN 22.04.1 CPU Power Consumption Monitor 40 80 120 160 200
srsRAN Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM OpenBenchmarking.org UE Mb/s Per Watt, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM EPYC 7713 EPYC 7713 2P 0.4822 0.9644 1.4466 1.9288 2.411 2.143 1.069
srsRAN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 68.6 76.6 EPYC 7713 2P 80.5 138.6 165.0 OpenBenchmarking.org Watts, Fewer Is Better srsRAN 22.04.1 CPU Power Consumption Monitor 50 100 150 200 250
srsRAN Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM OpenBenchmarking.org UE Mb/s Per Watt, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM EPYC 7713 EPYC 7713 2P 0.4709 0.9418 1.4127 1.8836 2.3545 2.093 1.036
LuaRadio CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 83.2 114.5 EPYC 7713 2P 74.5 158.5 199.2 OpenBenchmarking.org Watts, Fewer Is Better LuaRadio 0.9.1 CPU Power Consumption Monitor 50 100 150 200 250
LuaRadio Test: Complex Phase OpenBenchmarking.org MiB/s Per Watt, More Is Better LuaRadio 0.9.1 Test: Complex Phase EPYC 7713 EPYC 7713 2P 2 4 6 8 10 7.558 3.937
PHPBench CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 70.3 76.1 EPYC 7713 2P 79.7 140.6 150.2 OpenBenchmarking.org Watts, Fewer Is Better PHPBench 0.8.1 CPU Power Consumption Monitor 40 80 120 160 200
PHPBench PHP Benchmark Suite OpenBenchmarking.org Score Per Watt, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7713 EPYC 7713 2P 2K 4K 6K 8K 10K 10433.99 5162.81
Numpy Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.1 76.0 97.5 EPYC 7713 2P 80.3 150.5 172.6 OpenBenchmarking.org Watts, Fewer Is Better Numpy Benchmark CPU Power Consumption Monitor 50 100 150 200 250
Numpy Benchmark OpenBenchmarking.org Score Per Watt, More Is Better Numpy Benchmark EPYC 7713 EPYC 7713 2P 2 4 6 8 10 6.113 3.119
PyPerformance CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 71.3 75.9 EPYC 7713 2P 80.7 143.0 155.5 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 CPU Power Consumption Monitor 40 80 120 160 200
PyPerformance CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 73.5 76.0 EPYC 7713 2P 80.0 147.6 155.9 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 CPU Power Consumption Monitor 40 80 120 160 200
PyPerformance CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 70.3 76.1 EPYC 7713 2P 80.0 142.9 154.4 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 CPU Power Consumption Monitor 40 80 120 160 200
PyPerformance CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 71.8 76.4 EPYC 7713 2P 80.2 145.3 159.2 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 CPU Power Consumption Monitor 50 100 150 200 250
PyBench CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 70.3 76.9 EPYC 7713 2P 80.6 139.8 154.7 OpenBenchmarking.org Watts, Fewer Is Better PyBench 2018-02-16 CPU Power Consumption Monitor 40 80 120 160 200
Cython Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 70.7 77.4 EPYC 7713 2P 80.0 140.2 154.0 OpenBenchmarking.org Watts, Fewer Is Better Cython Benchmark 0.29.21 CPU Power Consumption Monitor 40 80 120 160 200
BRL-CAD CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 222.6 230.5 EPYC 7713 2P 78.8 188.7 340.4 OpenBenchmarking.org Watts, Fewer Is Better BRL-CAD 7.32.6 CPU Power Consumption Monitor 80 160 240 320 400
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric Per Watt, More Is Better BRL-CAD 7.32.6 VGR Performance Metric EPYC 7713 EPYC 7713 2P 4K 8K 12K 16K 20K 3133.83 17175.93
Redis CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 158.1 228.0 EPYC 7713 2P 81.0 290.2 443.4 OpenBenchmarking.org Watts, Fewer Is Better Redis 7.0.4 CPU Power Consumption Monitor 120 240 360 480 600
Redis Test: GET - Parallel Connections: 1000 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Redis 7.0.4 Test: GET - Parallel Connections: 1000 EPYC 7713 EPYC 7713 2P 3K 6K 9K 12K 15K 12590.69 4701.77
simdjson CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 74.9 78.4 EPYC 7713 2P 80.5 149.7 157.7 OpenBenchmarking.org Watts, Fewer Is Better simdjson 2.0 CPU Power Consumption Monitor 40 80 120 160 200
simdjson Throughput Test: TopTweet OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 2.0 Throughput Test: TopTweet EPYC 7713 EPYC 7713 2P 0.0133 0.0266 0.0399 0.0532 0.0665 0.059 0.029
simdjson CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 74.8 78.5 EPYC 7713 2P 80.7 149.3 157.9 OpenBenchmarking.org Watts, Fewer Is Better simdjson 2.0 CPU Power Consumption Monitor 40 80 120 160 200
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 2.0 Throughput Test: DistinctUserID EPYC 7713 EPYC 7713 2P 0.0133 0.0266 0.0399 0.0532 0.0665 0.059 0.030
simdjson CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 91.8 97.2 EPYC 7713 2P 80.7 165.0 173.5 OpenBenchmarking.org Watts, Fewer Is Better simdjson 2.0 CPU Power Consumption Monitor 50 100 150 200 250
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 2.0 Throughput Test: Kostya EPYC 7713 EPYC 7713 2P 0.0072 0.0144 0.0216 0.0288 0.036 0.032 0.018
simdjson CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 83.5 90.5 EPYC 7713 2P 80.6 156.7 166.5 OpenBenchmarking.org Watts, Fewer Is Better simdjson 2.0 CPU Power Consumption Monitor 50 100 150 200 250
simdjson Throughput Test: LargeRandom OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 2.0 Throughput Test: LargeRandom EPYC 7713 EPYC 7713 2P 0.0027 0.0054 0.0081 0.0108 0.0135 0.012 0.006
simdjson CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 74.8 76.7 EPYC 7713 2P 76.3 149.2 159.5 OpenBenchmarking.org Watts, Fewer Is Better simdjson 2.0 CPU Power Consumption Monitor 50 100 150 200 250
simdjson Throughput Test: PartialTweets OpenBenchmarking.org GB/s Per Watt, More Is Better simdjson 2.0 Throughput Test: PartialTweets EPYC 7713 EPYC 7713 2P 0.0117 0.0234 0.0351 0.0468 0.0585 0.052 0.026
Node.js V8 Web Tooling Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 77.8 94.4 EPYC 7713 2P 81.1 152.3 167.8 OpenBenchmarking.org Watts, Fewer Is Better Node.js V8 Web Tooling Benchmark CPU Power Consumption Monitor 50 100 150 200 250
Node.js V8 Web Tooling Benchmark OpenBenchmarking.org runs/s Per Watt, More Is Better Node.js V8 Web Tooling Benchmark EPYC 7713 EPYC 7713 2P 0.0306 0.0612 0.0918 0.1224 0.153 0.136 0.069
Node.js Express HTTP Load Test CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 75.7 89.7 EPYC 7713 2P 81.1 148.6 183.3 OpenBenchmarking.org Watts, Fewer Is Better Node.js Express HTTP Load Test CPU Power Consumption Monitor 50 100 150 200 250
Node.js Express HTTP Load Test OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Node.js Express HTTP Load Test EPYC 7713 EPYC 7713 2P 20 40 60 80 100 84.06 41.72
etcd CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 163.8 200.2 EPYC 7713 2P 81.7 292.8 341.9 OpenBenchmarking.org Watts, Fewer Is Better etcd 3.5.4 CPU Power Consumption Monitor 80 160 240 320 400
etcd CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 168.7 202.9 EPYC 7713 2P 82.4 302.8 348.9 OpenBenchmarking.org Watts, Fewer Is Better etcd 3.5.4 CPU Power Consumption Monitor 100 200 300 400 500
etcd CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 158.6 191.6 EPYC 7713 2P 81.6 283.7 323.1 OpenBenchmarking.org Watts, Fewer Is Better etcd 3.5.4 CPU Power Consumption Monitor 80 160 240 320 400
etcd CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 168.0 202.7 EPYC 7713 2P 80.9 303.2 346.5 OpenBenchmarking.org Watts, Fewer Is Better etcd 3.5.4 CPU Power Consumption Monitor 100 200 300 400 500
etcd CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 164.0 205.0 EPYC 7713 2P 80.9 293.2 347.5 OpenBenchmarking.org Watts, Fewer Is Better etcd 3.5.4 CPU Power Consumption Monitor 100 200 300 400 500
etcd CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 168.8 203.6 EPYC 7713 2P 82.3 302.6 347.0 OpenBenchmarking.org Watts, Fewer Is Better etcd 3.5.4 CPU Power Consumption Monitor 100 200 300 400 500
etcd CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 158.7 192.4 EPYC 7713 2P 82.0 283.8 322.1 OpenBenchmarking.org Watts, Fewer Is Better etcd 3.5.4 CPU Power Consumption Monitor 80 160 240 320 400
etcd CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 168.5 202.8 EPYC 7713 2P 81.1 304.3 350.3 OpenBenchmarking.org Watts, Fewer Is Better etcd 3.5.4 CPU Power Consumption Monitor 100 200 300 400 500
Dragonflydb CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 186.1 209.2 EPYC 7713 2P 80.7 321.0 361.2 OpenBenchmarking.org Watts, Fewer Is Better Dragonflydb 0.6 CPU Power Consumption Monitor 100 200 300 400 500
Dragonflydb Clients: 50 - Set To Get Ratio: 5:1 OpenBenchmarking.org Ops/sec Per Watt, More Is Better Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 5:1 EPYC 7713 EPYC 7713 2P 4K 8K 12K 16K 20K 17435.64 2257.57
Dragonflydb CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 187.2 210.6 EPYC 7713 2P 81.0 322.6 363.1 OpenBenchmarking.org Watts, Fewer Is Better Dragonflydb 0.6 CPU Power Consumption Monitor 100 200 300 400 500
Dragonflydb Clients: 50 - Set To Get Ratio: 1:1 OpenBenchmarking.org Ops/sec Per Watt, More Is Better Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:1 EPYC 7713 EPYC 7713 2P 4K 8K 12K 16K 20K 18071.08 2245.75
Dragonflydb CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 188.8 212.4 EPYC 7713 2P 81.4 322.4 362.5 OpenBenchmarking.org Watts, Fewer Is Better Dragonflydb 0.6 CPU Power Consumption Monitor 100 200 300 400 500
Dragonflydb Clients: 50 - Set To Get Ratio: 1:5 OpenBenchmarking.org Ops/sec Per Watt, More Is Better Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:5 EPYC 7713 EPYC 7713 2P 4K 8K 12K 16K 20K 19066.01 2246.96
ClickHouse CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 144.0 209.3 EPYC 7713 2P 80.8 260.6 374.0 OpenBenchmarking.org Watts, Fewer Is Better ClickHouse 22.5.4.19 CPU Power Consumption Monitor 100 200 300 400 500
ClickHouse 100M Rows Web Analytics Dataset, Third Run OpenBenchmarking.org Queries Per Minute, Geo Mean Per Watt, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run EPYC 7713 EPYC 7713 2P 0.6174 1.2348 1.8522 2.4696 3.087 2.744 1.522
Facebook RocksDB CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.0 160.9 201.2 EPYC 7713 2P 81.9 298.6 330.6 OpenBenchmarking.org Watts, Fewer Is Better Facebook RocksDB 7.5.3 CPU Power Consumption Monitor 80 160 240 320 400
Facebook RocksDB Test: Update Random OpenBenchmarking.org Op/s Per Watt, More Is Better Facebook RocksDB 7.5.3 Test: Update Random EPYC 7713 EPYC 7713 2P 500 1000 1500 2000 2500 2226.86 1020.14
Facebook RocksDB CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.0 208.8 223.5 EPYC 7713 2P 80.8 393.0 445.3 OpenBenchmarking.org Watts, Fewer Is Better Facebook RocksDB 7.5.3 CPU Power Consumption Monitor 120 240 360 480 600
Facebook RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s Per Watt, More Is Better Facebook RocksDB 7.5.3 Test: Read Random Write Random EPYC 7713 EPYC 7713 2P 4K 8K 12K 16K 20K 17058.24 7436.17
Facebook RocksDB CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 210.1 230.3 EPYC 7713 2P 80.8 420.4 460.7 OpenBenchmarking.org Watts, Fewer Is Better Facebook RocksDB 7.5.3 CPU Power Consumption Monitor 120 240 360 480 600
Facebook RocksDB Test: Read While Writing OpenBenchmarking.org Op/s Per Watt, More Is Better Facebook RocksDB 7.5.3 Test: Read While Writing EPYC 7713 EPYC 7713 2P 9K 18K 27K 36K 45K 43702.20 34647.59
Facebook RocksDB CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 217.9 230.3 EPYC 7713 2P 81.0 434.7 461.2 OpenBenchmarking.org Watts, Fewer Is Better Facebook RocksDB 7.5.3 CPU Power Consumption Monitor 120 240 360 480 600
Facebook RocksDB Test: Random Read OpenBenchmarking.org Op/s Per Watt, More Is Better Facebook RocksDB 7.5.3 Test: Random Read EPYC 7713 EPYC 7713 2P 200K 400K 600K 800K 1000K 1111169.80 1104494.04
Apache Cassandra CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.2 188.7 217.9 EPYC 7713 2P 81.1 350.9 403.8 OpenBenchmarking.org Watts, Fewer Is Better Apache Cassandra 4.0 CPU Power Consumption Monitor 110 220 330 440 550
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s Per Watt, More Is Better Apache Cassandra 4.0 Test: Writes EPYC 7713 EPYC 7713 2P 300 600 900 1200 1500 1328.21 598.21
ebizzy CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 186.0 227.6 EPYC 7713 2P 80.6 384.6 460.9 OpenBenchmarking.org Watts, Fewer Is Better ebizzy 0.3 CPU Power Consumption Monitor 120 240 360 480 600
ebizzy OpenBenchmarking.org Records/s Per Watt, More Is Better ebizzy 0.3 EPYC 7713 EPYC 7713 2P 300 600 900 1200 1500 1324.99 1178.37
nginx CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 149.4 161.0 EPYC 7713 2P 80.9 311.1 338.1 OpenBenchmarking.org Watts, Fewer Is Better nginx 1.21.1 CPU Power Consumption Monitor 80 160 240 320 400
nginx Concurrent Requests: 1000 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.21.1 Concurrent Requests: 1000 EPYC 7713 EPYC 7713 2P 300 600 900 1200 1500 1168.38 302.21
nginx CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 150.0 162.3 EPYC 7713 2P 81.2 315.3 336.3 OpenBenchmarking.org Watts, Fewer Is Better nginx 1.21.1 CPU Power Consumption Monitor 80 160 240 320 400
nginx Concurrent Requests: 500 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better nginx 1.21.1 Concurrent Requests: 500 EPYC 7713 EPYC 7713 2P 200 400 600 800 1000 1159.00 286.39
Apache HTTP Server CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 195.8 218.1 EPYC 7713 2P 80.5 402.5 436.3 OpenBenchmarking.org Watts, Fewer Is Better Apache HTTP Server 2.4.48 CPU Power Consumption Monitor 110 220 330 440 550
Apache HTTP Server Concurrent Requests: 1000 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Apache HTTP Server 2.4.48 Concurrent Requests: 1000 EPYC 7713 EPYC 7713 2P 120 240 360 480 600 557.36 210.61
Apache HTTP Server CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 202.9 225.4 EPYC 7713 2P 80.5 402.2 431.7 OpenBenchmarking.org Watts, Fewer Is Better Apache HTTP Server 2.4.48 CPU Power Consumption Monitor 110 220 330 440 550
Apache HTTP Server Concurrent Requests: 500 OpenBenchmarking.org Requests Per Second Per Watt, More Is Better Apache HTTP Server 2.4.48 Concurrent Requests: 500 EPYC 7713 EPYC 7713 2P 120 240 360 480 600 566.88 226.90
PostgreSQL pgbench CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 200.5 231.1 EPYC 7713 2P 80.5 401.3 457.5 OpenBenchmarking.org Watts, Fewer Is Better PostgreSQL pgbench 14.0 CPU Power Consumption Monitor 120 240 360 480 600
PostgreSQL pgbench CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 190.9 220.5 EPYC 7713 2P 80.4 262.2 360.1 OpenBenchmarking.org Watts, Fewer Is Better PostgreSQL pgbench 14.0 CPU Power Consumption Monitor 100 200 300 400 500
PostgreSQL pgbench CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 200.0 230.2 EPYC 7713 2P 80.9 399.9 461.4 OpenBenchmarking.org Watts, Fewer Is Better PostgreSQL pgbench 14.0 CPU Power Consumption Monitor 120 240 360 480 600
PostgreSQL pgbench CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 190.3 221.5 EPYC 7713 2P 80.4 260.6 353.8 OpenBenchmarking.org Watts, Fewer Is Better PostgreSQL pgbench 14.0 CPU Power Consumption Monitor 100 200 300 400 500
PostgreSQL pgbench Scaling Factor: 100 - Clients: 250 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 14.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write EPYC 7713 EPYC 7713 2P 16K 32K 48K 64K 80K SE +/- 106.66, N = 3 SE +/- 294.20, N = 12 73527 16633 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MariaDB CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better MariaDB 10.8.2 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 70 140 210 280 350 Min: 37.46 / Avg: 148.13 / Max: 220.4 Min: 81.11 / Avg: 301.96 / Max: 383.63
MariaDB Clients: 4096 OpenBenchmarking.org Queries Per Second Per Watt, More Is Better MariaDB 10.8.2 Clients: 4096 EPYC 7713 EPYC 7713 2P 0.3751 0.7502 1.1253 1.5004 1.8755 1.667 0.464
MariaDB CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 134.1 189.6 EPYC 7713 2P 80.8 300.9 371.3 OpenBenchmarking.org Watts, Fewer Is Better MariaDB 10.8.2 CPU Power Consumption Monitor 100 200 300 400 500
MariaDB Clients: 2048 OpenBenchmarking.org Queries Per Second Per Watt, More Is Better MariaDB 10.8.2 Clients: 2048 EPYC 7713 EPYC 7713 2P 1.0321 2.0642 3.0963 4.1284 5.1605 4.587 0.498
Etcpak CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 96.7 198.7 EPYC 7713 2P 80.5 176.0 322.1 OpenBenchmarking.org Watts, Fewer Is Better Etcpak 1.0 CPU Power Consumption Monitor 80 160 240 320 400
Etcpak Benchmark: Multi-Threaded - Configuration: ETC2 OpenBenchmarking.org Mpx/s Per Watt, More Is Better Etcpak 1.0 Benchmark: Multi-Threaded - Configuration: ETC2 EPYC 7713 EPYC 7713 2P 15 30 45 60 75 69.31 37.95
Etcpak CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.1 73.2 75.8 EPYC 7713 2P 81.1 146.5 155.4 OpenBenchmarking.org Watts, Fewer Is Better Etcpak 1.0 CPU Power Consumption Monitor 40 80 120 160 200
Etcpak Benchmark: Single-Threaded - Configuration: ETC2 OpenBenchmarking.org Mpx/s Per Watt, More Is Better Etcpak 1.0 Benchmark: Single-Threaded - Configuration: ETC2 EPYC 7713 EPYC 7713 2P 0.7085 1.417 2.1255 2.834 3.5425 3.149 1.567
Google Draco CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.1 62.2 81.0 EPYC 7713 2P 80.0 126.8 158.2 OpenBenchmarking.org Watts, Fewer Is Better Google Draco 1.5.0 CPU Power Consumption Monitor 40 80 120 160 200
Google Draco CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 63.9 80.2 EPYC 7713 2P 80.9 129.6 156.5 OpenBenchmarking.org Watts, Fewer Is Better Google Draco 1.5.0 CPU Power Consumption Monitor 40 80 120 160 200
Basis Universal CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 141.1 230.3 EPYC 7713 2P 80.4 231.5 460.4 OpenBenchmarking.org Watts, Fewer Is Better Basis Universal 1.13 CPU Power Consumption Monitor 120 240 360 480 600
Basis Universal CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 112.7 230.3 EPYC 7713 2P 80.6 187.4 444.9 OpenBenchmarking.org Watts, Fewer Is Better Basis Universal 1.13 CPU Power Consumption Monitor 120 240 360 480 600
Basis Universal CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 66.3 122.5 EPYC 7713 2P 80.6 133.6 224.3 OpenBenchmarking.org Watts, Fewer Is Better Basis Universal 1.13 CPU Power Consumption Monitor 60 120 180 240 300
ASTC Encoder CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 169.6 230.3 EPYC 7713 2P 80.8 278.8 460.9 OpenBenchmarking.org Watts, Fewer Is Better ASTC Encoder 4.0 CPU Power Consumption Monitor 120 240 360 480 600
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Exhaustive EPYC 7713 EPYC 7713 2P 0.0052 0.0104 0.0156 0.0208 0.026 0.019 0.023
ASTC Encoder CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 143.2 230.0 EPYC 7713 2P 80.7 235.5 457.3 OpenBenchmarking.org Watts, Fewer Is Better ASTC Encoder 4.0 CPU Power Consumption Monitor 120 240 360 480 600
ASTC Encoder Preset: Thorough OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Thorough EPYC 7713 EPYC 7713 2P 0.0558 0.1116 0.1674 0.2232 0.279 0.213 0.248
ASTC Encoder CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 95.2 229.4 EPYC 7713 2P 80.5 172.4 441.3 OpenBenchmarking.org Watts, Fewer Is Better ASTC Encoder 4.0 CPU Power Consumption Monitor 120 240 360 480 600
ASTC Encoder Preset: Medium OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Medium EPYC 7713 EPYC 7713 2P 0.5589 1.1178 1.6767 2.2356 2.7945 2.484 2.209
LibRaw CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 93.3 109.3 EPYC 7713 2P 80.6 200.9 225.0 OpenBenchmarking.org Watts, Fewer Is Better LibRaw 0.20 CPU Power Consumption Monitor 60 120 180 240 300
LibRaw Post-Processing Benchmark OpenBenchmarking.org Mpix/sec Per Watt, More Is Better LibRaw 0.20 Post-Processing Benchmark EPYC 7713 EPYC 7713 2P 0.095 0.19 0.285 0.38 0.475 0.422 0.189
GraphicsMagick CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 207.3 222.7 EPYC 7713 2P 80.9 400.5 428.8 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.38 CPU Power Consumption Monitor 110 220 330 440 550
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Sharpen EPYC 7713 EPYC 7713 2P 0.5546 1.1092 1.6638 2.2184 2.773 2.465 1.945
GraphicsMagick CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 73.9 79.8 EPYC 7713 2P 42.7 148.0 157.7 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.38 CPU Power Consumption Monitor 40 80 120 160 200
GraphicsMagick Operation: Rotate OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Rotate EPYC 7713 EPYC 7713 2P 3 6 9 12 15 10.090 4.934
GraphicsMagick CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 207.9 221.1 EPYC 7713 2P 81.1 398.8 429.2 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.38 CPU Power Consumption Monitor 110 220 330 440 550
GraphicsMagick Operation: Enhanced OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Enhanced EPYC 7713 EPYC 7713 2P 1.0186 2.0372 3.0558 4.0744 5.093 4.527 3.370
GraphicsMagick CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 120.4 127.5 EPYC 7713 2P 81.1 255.3 273.4 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.38 CPU Power Consumption Monitor 70 140 210 280 350
GraphicsMagick Operation: HWB Color Space OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: HWB Color Space EPYC 7713 EPYC 7713 2P 3 6 9 12 15 10.826 4.281
WebP2 Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 97.8 228.0 EPYC 7713 2P 80.0 192.5 410.0 OpenBenchmarking.org Watts, Fewer Is Better WebP2 Image Encode 20220823 CPU Power Consumption Monitor 110 220 330 440 550
WebP2 Image Encode Encode Settings: Quality 100, Compression Effort 5 OpenBenchmarking.org MP/s Per Watt, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 EPYC 7713 EPYC 7713 2P 0.025 0.05 0.075 0.1 0.125 0.111 0.033
WebP2 Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 203.9 230.3 EPYC 7713 2P 79.8 345.9 460.6 OpenBenchmarking.org Watts, Fewer Is Better WebP2 Image Encode 20220823 CPU Power Consumption Monitor 120 240 360 480 600
WebP2 Image Encode Encode Settings: Quality 95, Compression Effort 7 OpenBenchmarking.org MP/s Per Watt, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 EPYC 7713 EPYC 7713 2P 0.0002 0.0004 0.0006 0.0008 0.001 0.001 0.001
WebP2 Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.0 190.9 230.3 EPYC 7713 2P 80.3 297.9 379.6 OpenBenchmarking.org Watts, Fewer Is Better WebP2 Image Encode 20220823 CPU Power Consumption Monitor 100 200 300 400 500
WebP2 Image Encode Encode Settings: Quality 75, Compression Effort 7 OpenBenchmarking.org MP/s Per Watt, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 EPYC 7713 EPYC 7713 2P 0.0007 0.0014 0.0021 0.0028 0.0035 0.003 0.002
WebP2 Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 85.3 200.9 EPYC 7713 2P 79.7 143.6 291.2 OpenBenchmarking.org Watts, Fewer Is Better WebP2 Image Encode 20220823 CPU Power Consumption Monitor 70 140 210 280 350
WebP2 Image Encode Encode Settings: Default OpenBenchmarking.org MP/s Per Watt, More Is Better WebP2 Image Encode 20220823 Encode Settings: Default EPYC 7713 EPYC 7713 2P 0.0239 0.0478 0.0717 0.0956 0.1195 0.106 0.068
WebP2 Image Encode Encode Settings: Default OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Default EPYC 7713 EPYC 7713 2P 3 6 9 12 15 SE +/- 0.08, N = 15 SE +/- 0.21, N = 15 9.00 9.70 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
WebP Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 76.4 85.2 EPYC 7713 2P 80.2 148.4 158.5 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 50 100 150 200 250
WebP Image Encode Encode Settings: Quality 100, Lossless, Highest Compression OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression EPYC 7713 EPYC 7713 2P 0.0016 0.0032 0.0048 0.0064 0.008 0.007 0.004
WebP Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 67.7 77.7 EPYC 7713 2P 79.2 136.0 150.9 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 40 80 120 160 200
WebP Image Encode Encode Settings: Quality 100, Lossless OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless EPYC 7713 EPYC 7713 2P 0.0047 0.0094 0.0141 0.0188 0.0235 0.021 0.010
WebP Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.0 62.0 75.4 EPYC 7713 2P 78.6 125.9 150.5 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 40 80 120 160 200
WebP Image Encode Encode Settings: Quality 100, Highest Compression OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression EPYC 7713 EPYC 7713 2P 0.0126 0.0252 0.0378 0.0504 0.063 0.056 0.028
WebP Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7713 36.9 52.7 75.7 EPYC 7713 2P 79.2 109.5 151.1 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 40 80 120 160 200
WebP Image Encode Encode Settings: Quality 100 OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100 EPYC 7713 EPYC 7713 2P 0.0457 0.0914 0.1371 0.1828 0.2285 0.203 0.097
WebP Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.1 49.4 75.6 EPYC 7713 2P 79.4 103.7 149.9 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 40 80 120 160 200
WebP Image Encode Encode Settings: Default OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Default EPYC 7713 EPYC 7713 2P 0.0765 0.153 0.2295 0.306 0.3825 0.340 0.162
libavif avifenc CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 72.2 150.5 EPYC 7713 2P 79.6 137.9 232.7 OpenBenchmarking.org Watts, Fewer Is Better libavif avifenc 0.10 CPU Power Consumption Monitor 60 120 180 240 300
libavif avifenc CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 95.9 230.3 EPYC 7713 2P 80.2 162.2 308.4 OpenBenchmarking.org Watts, Fewer Is Better libavif avifenc 0.10 CPU Power Consumption Monitor 80 160 240 320 400
libavif avifenc CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 100.8 230.3 EPYC 7713 2P 79.7 163.7 311.9 OpenBenchmarking.org Watts, Fewer Is Better libavif avifenc 0.10 CPU Power Consumption Monitor 80 160 240 320 400
libavif avifenc CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.1 115.8 230.4 EPYC 7713 2P 80.1 194.2 358.5 OpenBenchmarking.org Watts, Fewer Is Better libavif avifenc 0.10 CPU Power Consumption Monitor 100 200 300 400 500
JPEG XL Decoding libjxl CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.1 99.9 169.3 EPYC 7713 2P 80.2 203.4 320.5 OpenBenchmarking.org Watts, Fewer Is Better JPEG XL Decoding libjxl 0.6.1 CPU Power Consumption Monitor 80 160 240 320 400
JPEG XL Decoding libjxl CPU Threads: All OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL Decoding libjxl 0.6.1 CPU Threads: All EPYC 7713 EPYC 7713 2P 2 4 6 8 10 7.325 2.802
JPEG XL Decoding libjxl CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.1 73.9 78.2 EPYC 7713 2P 80.7 146.6 160.2 OpenBenchmarking.org Watts, Fewer Is Better JPEG XL Decoding libjxl 0.6.1 CPU Power Consumption Monitor 50 100 150 200 250
JPEG XL Decoding libjxl CPU Threads: 1 OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL Decoding libjxl 0.6.1 CPU Threads: 1 EPYC 7713 EPYC 7713 2P 0.2059 0.4118 0.6177 0.8236 1.0295 0.915 0.457
JPEG XL libjxl CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 82.5 99.6 EPYC 7713 2P 80.9 162.3 195.2 OpenBenchmarking.org Watts, Fewer Is Better JPEG XL libjxl 0.6.1 CPU Power Consumption Monitor 50 100 150 200 250
JPEG XL libjxl Input: PNG - Encode Speed: 8 OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL libjxl 0.6.1 Input: PNG - Encode Speed: 8 EPYC 7713 EPYC 7713 2P 0.0027 0.0054 0.0081 0.0108 0.0135 0.012 0.006
JPEG XL libjxl CPU Power Consumption Monitor Min Avg Max EPYC 7713 18.7 87.9 109.3 EPYC 7713 2P 80.0 173.1 209.8 OpenBenchmarking.org Watts, Fewer Is Better JPEG XL libjxl 0.6.1 CPU Power Consumption Monitor 60 120 180 240 300
JPEG XL libjxl Input: PNG - Encode Speed: 7 OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL libjxl 0.6.1 Input: PNG - Encode Speed: 7 EPYC 7713 EPYC 7713 2P 0.0284 0.0568 0.0852 0.1136 0.142 0.126 0.062
JPEG XL libjxl CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 70.6 87.2 EPYC 7713 2P 80.5 144.2 180.4 OpenBenchmarking.org Watts, Fewer Is Better JPEG XL libjxl 0.6.1 CPU Power Consumption Monitor 50 100 150 200 250
JPEG XL libjxl Input: JPEG - Encode Speed: 8 OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL libjxl 0.6.1 Input: JPEG - Encode Speed: 8 EPYC 7713 EPYC 7713 2P 0.0932 0.1864 0.2796 0.3728 0.466 0.414 0.201
JPEG XL libjxl CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 81.8 105.1 EPYC 7713 2P 80.4 165.6 219.5 OpenBenchmarking.org Watts, Fewer Is Better JPEG XL libjxl 0.6.1 CPU Power Consumption Monitor 60 120 180 240 300
JPEG XL libjxl Input: JPEG - Encode Speed: 7 OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL libjxl 0.6.1 Input: JPEG - Encode Speed: 7 EPYC 7713 EPYC 7713 2P 0.2878 0.5756 0.8634 1.1512 1.439 1.279 0.609
x265 CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 142.4 181.5 EPYC 7713 2P 80.0 241.3 294.3 OpenBenchmarking.org Watts, Fewer Is Better x265 3.4 CPU Power Consumption Monitor 70 140 210 280 350
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 0.0421 0.0842 0.1263 0.1684 0.2105 0.187 0.089
SVT-HEVC CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 105.4 226.3 EPYC 7713 2P 40.6 194.0 392.7 OpenBenchmarking.org Watts, Fewer Is Better SVT-HEVC 1.5.0 CPU Power Consumption Monitor 110 220 330 440 550
SVT-HEVC Tuning: 10 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 0.4775 0.955 1.4325 1.91 2.3875 2.122 1.009
SVT-HEVC CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 128.4 228.5 EPYC 7713 2P 80.0 224.7 429.7 OpenBenchmarking.org Watts, Fewer Is Better SVT-HEVC 1.5.0 CPU Power Consumption Monitor 110 220 330 440 550
SVT-HEVC Tuning: 7 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 0.2414 0.4828 0.7242 0.9656 1.207 1.073 0.644
SVT-HEVC CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 214.7 230.3 EPYC 7713 2P 80.5 395.3 460.6 OpenBenchmarking.org Watts, Fewer Is Better SVT-HEVC 1.5.0 CPU Power Consumption Monitor 120 240 360 480 600
SVT-HEVC Tuning: 1 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 0.0104 0.0208 0.0312 0.0416 0.052 0.046 0.038
SVT-AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 131.7 204.2 EPYC 7713 2P 81.0 231.8 351.6 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.2 CPU Power Consumption Monitor 100 200 300 400 500
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 0.1211 0.2422 0.3633 0.4844 0.6055 0.538 0.297
SVT-AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 105.5 191.2 EPYC 7713 2P 81.6 198.5 329.2 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.2 CPU Power Consumption Monitor 80 160 240 320 400
SVT-AV1 Encoder Mode: Preset 10 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 0.2799 0.5598 0.8397 1.1196 1.3995 1.244 0.624
SVT-AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 94.8 191.2 EPYC 7713 2P 80.8 182.5 323.5 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 1.2 CPU Power Consumption Monitor 80 160 240 320 400
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 0.4383 0.8766 1.3149 1.7532 2.1915 1.948 0.984
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 40 80 120 160 200 SE +/- 7.71, N = 15 SE +/- 1.07, N = 7 184.71 179.55 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Kvazaar CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 148.5 207.0 EPYC 7713 2P 80.6 256.0 358.6 OpenBenchmarking.org Watts, Fewer Is Better Kvazaar 2.1 CPU Power Consumption Monitor 100 200 300 400 500
Kvazaar Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7713 EPYC 7713 2P 0.0857 0.1714 0.2571 0.3428 0.4285 0.381 0.229
Kvazaar CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 161.3 199.9 EPYC 7713 2P 81.2 301.2 419.8 OpenBenchmarking.org Watts, Fewer Is Better Kvazaar 2.1 CPU Power Consumption Monitor 110 220 330 440 550
Kvazaar Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.1 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7713 EPYC 7713 2P 0.0513 0.1026 0.1539 0.2052 0.2565 0.228 0.180
VP9 libvpx Encoding CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 110.3 122.8 EPYC 7713 2P 80.5 196.6 227.6 OpenBenchmarking.org Watts, Fewer Is Better VP9 libvpx Encoding 1.10.0 CPU Power Consumption Monitor 60 120 180 240 300
VP9 libvpx Encoding Speed: Speed 5 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VP9 libvpx Encoding 1.10.0 Speed: Speed 5 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 0.0324 0.0648 0.0972 0.1296 0.162 0.144 0.071
VP9 libvpx Encoding Speed: Speed 5 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.10.0 Speed: Speed 5 - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.37, N = 15 15.86 13.86 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
AOM AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 99.3 126.8 EPYC 7713 2P 80.2 184.9 234.4 OpenBenchmarking.org Watts, Fewer Is Better AOM AV1 3.4 CPU Power Consumption Monitor 60 120 180 240 300
AOM AV1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 3.4 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 0.1485 0.297 0.4455 0.594 0.7425 0.660 0.301
AOM AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 98.9 126.4 EPYC 7713 2P 78.4 191.2 238.5 OpenBenchmarking.org Watts, Fewer Is Better AOM AV1 3.4 CPU Power Consumption Monitor 60 120 180 240 300
AOM AV1 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 3.4 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K EPYC 7713 EPYC 7713 2P 0.1454 0.2908 0.4362 0.5816 0.727 0.646 0.298
Natron CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 145.3 220.7 EPYC 7713 2P 79.9 285.4 381.5 OpenBenchmarking.org Watts, Fewer Is Better Natron 2.4.3 CPU Power Consumption Monitor 100 200 300 400 500
Natron Input: Spaceship OpenBenchmarking.org FPS Per Watt, More Is Better Natron 2.4.3 Input: Spaceship EPYC 7713 EPYC 7713 2P 0.0092 0.0184 0.0276 0.0368 0.046 0.041 0.007
LuxCoreRender CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 205.6 227.0 EPYC 7713 2P 80.8 403.9 458.8 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor 120 240 360 480 600
LuxCoreRender Scene: Danish Mood - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: CPU EPYC 7713 EPYC 7713 2P 0.0068 0.0136 0.0204 0.0272 0.034 0.030 0.019
LuxCoreRender CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 211.4 230.3 EPYC 7713 2P 80.0 419.6 464.6 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor 120 240 360 480 600
LuxCoreRender Scene: Orange Juice - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU EPYC 7713 EPYC 7713 2P 0.0133 0.0266 0.0399 0.0532 0.0665 0.059 0.044
LuxCoreRender CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 205.8 230.1 EPYC 7713 2P 80.9 403.7 460.2 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor 120 240 360 480 600
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: CPU EPYC 7713 EPYC 7713 2P 0.0074 0.0148 0.0222 0.0296 0.037 0.033 0.019
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: CPU EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.06, N = 3 SE +/- 0.12, N = 15 6.84 7.63 MIN: 2.61 / MAX: 8.19 MIN: 2.51 / MAX: 10.1
LuxCoreRender CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 155.6 230.9 EPYC 7713 2P 80.7 293.7 392.4 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor 110 220 330 440 550
LuxCoreRender Scene: Rainbow Colors and Prism - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: CPU EPYC 7713 EPYC 7713 2P 0.0306 0.0612 0.0918 0.1224 0.153 0.136 0.058
LuxCoreRender Scene: Rainbow Colors and Prism - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: CPU EPYC 7713 EPYC 7713 2P 5 10 15 20 25 SE +/- 0.54, N = 15 SE +/- 0.15, N = 15 21.13 16.99 MIN: 17.03 / MAX: 23.53 MIN: 15.23 / MAX: 18.28
LuxCoreRender CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 214.7 231.5 EPYC 7713 2P 79.9 428.7 460.3 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor 120 240 360 480 600
LuxCoreRender Scene: DLSC - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: CPU EPYC 7713 EPYC 7713 2P 0.0088 0.0176 0.0264 0.0352 0.044 0.039 0.029
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.3 205.1 230.3 EPYC 7713 2P 80.1 424.8 460.5 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 120 240 360 480 600
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 212.4 231.2 EPYC 7713 2P 80.9 410.5 460.6 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 120 240 360 480 600
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 208.7 230.3 EPYC 7713 2P 80.3 409.5 460.5 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 120 240 360 480 600
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 201.2 230.3 EPYC 7713 2P 81.0 419.8 460.5 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 120 240 360 480 600
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 209.6 230.3 EPYC 7713 2P 80.8 402.6 460.5 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 120 240 360 480 600
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 208.6 230.3 EPYC 7713 2P 80.0 408.1 460.3 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 120 240 360 480 600
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 201.1 230.3 EPYC 7713 2P 81.2 418.9 460.6 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 120 240 360 480 600
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.0 209.0 230.3 EPYC 7713 2P 80.1 402.3 460.5 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 120 240 360 480 600
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 208.1 230.5 EPYC 7713 2P 81.1 408.6 461.5 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 120 240 360 480 600
Intel Open Image Denoise CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 143.7 228.4 EPYC 7713 2P 80.8 264.4 458.1 OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 1.4.0 CPU Power Consumption Monitor 120 240 360 480 600
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 1.4.0 Run: RT.ldr_alb_nrm.3840x2160 EPYC 7713 EPYC 7713 2P 0.0023 0.0046 0.0069 0.0092 0.0115 0.010 0.009
Intel Open Image Denoise CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 144.1 228.3 EPYC 7713 2P 81.1 265.0 458.5 OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 1.4.0 CPU Power Consumption Monitor 120 240 360 480 600
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 1.4.0 Run: RT.hdr_alb_nrm.3840x2160 EPYC 7713 EPYC 7713 2P 0.0023 0.0046 0.0069 0.0092 0.0115 0.010 0.009
Embree CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 179.0 229.7 EPYC 7713 2P 81.0 325.7 458.8 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 120 240 360 480 600
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Crown EPYC 7713 EPYC 7713 2P 0.0599 0.1198 0.1797 0.2396 0.2995 0.266 0.255
Embree CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 174.3 230.1 EPYC 7713 2P 81.7 338.5 459.5 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 120 240 360 480 600
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7713 EPYC 7713 2P 0.0734 0.1468 0.2202 0.2936 0.367 0.326 0.198
Embree CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 176.2 229.8 EPYC 7713 2P 81.1 319.9 458.4 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 120 240 360 480 600
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer - Model: Crown EPYC 7713 EPYC 7713 2P 0.0662 0.1324 0.1986 0.2648 0.331 0.294 0.280
Embree CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 169.1 229.6 EPYC 7713 2P 80.4 335.2 459.6 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 120 240 360 480 600
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer - Model: Asian Dragon EPYC 7713 EPYC 7713 2P 0.0837 0.1674 0.2511 0.3348 0.4185 0.372 0.205
POV-Ray CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 150.2 230.3 EPYC 7713 2P 80.6 246.9 460.5 OpenBenchmarking.org Watts, Fewer Is Better POV-Ray 3.7.0.7 CPU Power Consumption Monitor 120 240 360 480 600
Appleseed CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 189.2 207.8 EPYC 7713 2P 80.9 276.8 313.6 OpenBenchmarking.org Watts, Fewer Is Better Appleseed 2.0 Beta CPU Power Consumption Monitor 80 160 240 320 400
Appleseed CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 198.4 209.6 EPYC 7713 2P 80.3 351.6 395.6 OpenBenchmarking.org Watts, Fewer Is Better Appleseed 2.0 Beta CPU Power Consumption Monitor 110 220 330 440 550
Appleseed CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 184.3 230.4 EPYC 7713 2P 80.6 328.8 422.8 OpenBenchmarking.org Watts, Fewer Is Better Appleseed 2.0 Beta CPU Power Consumption Monitor 110 220 330 440 550
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.0 224.7 231.2 EPYC 7713 2P 80.3 436.3 461.0 OpenBenchmarking.org Watts, Fewer Is Better Blender 3.3 CPU Power Consumption Monitor 120 240 360 480 600
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 219.6 230.3 EPYC 7713 2P 80.9 423.9 461.5 OpenBenchmarking.org Watts, Fewer Is Better Blender 3.3 CPU Power Consumption Monitor 120 240 360 480 600
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.2 204.3 230.3 EPYC 7713 2P 81.0 376.8 460.6 OpenBenchmarking.org Watts, Fewer Is Better Blender 3.3 CPU Power Consumption Monitor 120 240 360 480 600
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 218.4 230.6 EPYC 7713 2P 80.3 418.9 460.7 OpenBenchmarking.org Watts, Fewer Is Better Blender 3.3 CPU Power Consumption Monitor 120 240 360 480 600
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 202.1 230.3 EPYC 7713 2P 81.0 369.5 460.6 OpenBenchmarking.org Watts, Fewer Is Better Blender 3.3 CPU Power Consumption Monitor 120 240 360 480 600
LZ4 Compression CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 79.1 104.8 EPYC 7713 2P 80.7 161.3 219.2 OpenBenchmarking.org Watts, Fewer Is Better LZ4 Compression 1.9.3 CPU Power Consumption Monitor 60 120 180 240 300
LZ4 Compression Compression Level: 9 - Decompression Speed OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed EPYC 7713 EPYC 7713 2P 40 80 120 160 200 178.98 67.29
LZ4 Compression CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 79.3 105.1 EPYC 7713 2P 80.7 161.4 219.0 OpenBenchmarking.org Watts, Fewer Is Better LZ4 Compression 1.9.3 CPU Power Consumption Monitor 60 120 180 240 300
LZ4 Compression Compression Level: 3 - Decompression Speed OpenBenchmarking.org MB/s Per Watt, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed EPYC 7713 EPYC 7713 2P 40 80 120 160 200 178.01 66.58
Zstd Compression CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 98.9 127.1 EPYC 7713 2P 80.8 185.7 245.6 OpenBenchmarking.org Watts, Fewer Is Better Zstd Compression 1.5.0 CPU Power Consumption Monitor 60 120 180 240 300
Zstd Compression Compression Level: 19, Long Mode - Decompression Speed OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Decompression Speed EPYC 7713 EPYC 7713 2P 8 16 24 32 40 34.99 18.77
Zstd Compression CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 110.8 165.3 EPYC 7713 2P 78.9 198.0 279.6 OpenBenchmarking.org Watts, Fewer Is Better Zstd Compression 1.5.0 CPU Power Consumption Monitor 70 140 210 280 350
Zstd Compression Compression Level: 19 - Decompression Speed OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Decompression Speed EPYC 7713 EPYC 7713 2P 7 14 21 28 35 30.71 17.54
7-Zip Compression CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 196.3 229.2 EPYC 7713 2P 81.2 387.1 460.8 OpenBenchmarking.org Watts, Fewer Is Better 7-Zip Compression 22.01 CPU Power Consumption Monitor 120 240 360 480 600
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating EPYC 7713 EPYC 7713 2P 400 800 1200 1600 2000 1806.44 1638.03
Renaissance CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Renaissance 0.14 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 50 100 150 200 250 Min: 37.3 / Avg: 94.8 / Max: 146.06 Min: 81.42 / Avg: 198.22 / Max: 255.04
Renaissance CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 83.4 98.2 EPYC 7713 2P 79.9 162.6 198.2 OpenBenchmarking.org Watts, Fewer Is Better Renaissance 0.14 CPU Power Consumption Monitor 50 100 150 200 250
Renaissance CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 207.7 227.1 EPYC 7713 2P 80.9 410.9 452.4 OpenBenchmarking.org Watts, Fewer Is Better Renaissance 0.14 CPU Power Consumption Monitor 120 240 360 480 600
Renaissance CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 129.2 162.5 EPYC 7713 2P 80.9 238.6 386.5 OpenBenchmarking.org Watts, Fewer Is Better Renaissance 0.14 CPU Power Consumption Monitor 100 200 300 400 500
Renaissance CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 97.0 174.5 EPYC 7713 2P 79.9 205.5 333.4 OpenBenchmarking.org Watts, Fewer Is Better Renaissance 0.14 CPU Power Consumption Monitor 80 160 240 320 400
Renaissance CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 139.9 213.7 EPYC 7713 2P 80.2 262.5 385.5 OpenBenchmarking.org Watts, Fewer Is Better Renaissance 0.14 CPU Power Consumption Monitor 100 200 300 400 500
Renaissance CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 89.9 155.4 EPYC 7713 2P 80.3 189.0 356.9 OpenBenchmarking.org Watts, Fewer Is Better Renaissance 0.14 CPU Power Consumption Monitor 100 200 300 400 500
DaCapo Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 80.4 137.2 EPYC 7713 2P 79.8 156.1 234.0 OpenBenchmarking.org Watts, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Power Consumption Monitor 60 120 180 240 300
DaCapo Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 67.4 119.8 EPYC 7713 2P 80.5 136.9 224.9 OpenBenchmarking.org Watts, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Power Consumption Monitor 60 120 180 240 300
Build2 CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 134.2 230.0 EPYC 7713 2P 79.9 228.4 460.7 OpenBenchmarking.org Watts, Fewer Is Better Build2 0.13 CPU Power Consumption Monitor 120 240 360 480 600
Timed Wasmer Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 114.1 224.6 EPYC 7713 2P 80.8 199.6 385.3 OpenBenchmarking.org Watts, Fewer Is Better Timed Wasmer Compilation 2.3 CPU Power Consumption Monitor 100 200 300 400 500
Timed CPython Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 84.0 215.1 EPYC 7713 2P 81.1 161.6 395.6 OpenBenchmarking.org Watts, Fewer Is Better Timed CPython Compilation 3.10.6 CPU Power Consumption Monitor 110 220 330 440 550
Timed CPython Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.0 81.6 208.3 EPYC 7713 2P 79.4 157.2 334.3 OpenBenchmarking.org Watts, Fewer Is Better Timed CPython Compilation 3.10.6 CPU Power Consumption Monitor 80 160 240 320 400
Timed PHP Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 105.0 229.7 EPYC 7713 2P 80.7 191.0 458.5 OpenBenchmarking.org Watts, Fewer Is Better Timed PHP Compilation 8.1.9 CPU Power Consumption Monitor 120 240 360 480 600
Timed Node.js Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 182.4 229.9 EPYC 7713 2P 80.8 320.4 461.3 OpenBenchmarking.org Watts, Fewer Is Better Timed Node.js Compilation 18.8 CPU Power Consumption Monitor 120 240 360 480 600
Timed Mesa Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 126.1 230.3 EPYC 7713 2P 80.8 212.6 461.0 OpenBenchmarking.org Watts, Fewer Is Better Timed Mesa Compilation 21.0 CPU Power Consumption Monitor 120 240 360 480 600
Timed Linux Kernel Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 203.2 229.9 EPYC 7713 2P 81.3 375.6 461.9 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 5.18 CPU Power Consumption Monitor 120 240 360 480 600
Timed Linux Kernel Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 143.3 230.4 EPYC 7713 2P 80.5 246.1 460.5 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 5.18 CPU Power Consumption Monitor 120 240 360 480 600
Timed Godot Game Engine Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 151.2 228.9 EPYC 7713 2P 80.2 253.8 456.4 OpenBenchmarking.org Watts, Fewer Is Better Timed Godot Game Engine Compilation 3.2.3 CPU Power Consumption Monitor 120 240 360 480 600
Timed Gem5 Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 137.4 229.6 EPYC 7713 2P 80.3 235.4 456.8 OpenBenchmarking.org Watts, Fewer Is Better Timed Gem5 Compilation 21.2 CPU Power Consumption Monitor 120 240 360 480 600
Timed LLVM Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 167.6 230.8 EPYC 7713 2P 80.3 287.6 461.5 OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 13.0 CPU Power Consumption Monitor 120 240 360 480 600
Timed LLVM Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 183.4 230.3 EPYC 7713 2P 80.1 319.2 460.5 OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 13.0 CPU Power Consumption Monitor 120 240 360 480 600
Timed FFmpeg Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 129.8 230.1 EPYC 7713 2P 80.6 224.4 460.3 OpenBenchmarking.org Watts, Fewer Is Better Timed FFmpeg Compilation 4.4 CPU Power Consumption Monitor 120 240 360 480 600
Timed Apache Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 81.0 129.0 EPYC 7713 2P 79.6 154.9 245.3 OpenBenchmarking.org Watts, Fewer Is Better Timed Apache Compilation 2.4.41 CPU Power Consumption Monitor 60 120 180 240 300
TNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.1 58.4 75.7 EPYC 7713 2P 80.0 119.3 154.0 OpenBenchmarking.org Watts, Fewer Is Better TNN 0.3 CPU Power Consumption Monitor 40 80 120 160 200
TNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 68.6 75.3 EPYC 7713 2P 81.1 138.9 151.6 OpenBenchmarking.org Watts, Fewer Is Better TNN 0.3 CPU Power Consumption Monitor 40 80 120 160 200
TNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.3 83.0 92.5 EPYC 7713 2P 81.6 174.3 194.2 OpenBenchmarking.org Watts, Fewer Is Better TNN 0.3 CPU Power Consumption Monitor 50 100 150 200 250
TNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 95.1 101.9 EPYC 7713 2P 80.3 200.2 232.1 OpenBenchmarking.org Watts, Fewer Is Better TNN 0.3 CPU Power Consumption Monitor 60 120 180 240 300
Mlpack Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 189.9 220.0 EPYC 7713 2P 80.2 334.4 374.1 OpenBenchmarking.org Watts, Fewer Is Better Mlpack Benchmark CPU Power Consumption Monitor 100 200 300 400 500
Mlpack Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 129.3 225.9 EPYC 7713 2P 80.3 243.7 428.2 OpenBenchmarking.org Watts, Fewer Is Better Mlpack Benchmark CPU Power Consumption Monitor 110 220 330 440 550
Mlpack Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 71.7 98.0 EPYC 7713 2P 77.2 142.1 178.2 OpenBenchmarking.org Watts, Fewer Is Better Mlpack Benchmark CPU Power Consumption Monitor 50 100 150 200 250
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 179.1 224.2 EPYC 7713 2P 80.7 328.4 424.1 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU EPYC 7713 EPYC 7713 2P 600 1200 1800 2400 3000 SE +/- 16.05, N = 15 SE +/- 49.56, N = 15 1229.56 2840.05 MIN: 1044.76 MIN: 2016.64 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 177.8 222.4 EPYC 7713 2P 80.5 327.1 426.0 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 177.4 223.4 EPYC 7713 2P 81.0 327.5 425.5 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 168.8 226.3 EPYC 7713 2P 80.9 315.7 435.6 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 168.5 224.6 EPYC 7713 2P 82.0 315.9 436.6 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 168.7 226.2 EPYC 7713 2P 80.3 314.7 424.8 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 112.3 150.9 EPYC 7713 2P 80.7 253.4 318.5 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 80 160 240 320 400
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU EPYC 7713 EPYC 7713 2P 7 14 21 28 35 SE +/- 0.24, N = 12 SE +/- 0.34, N = 4 12.56 30.01 MIN: 9.16 MIN: 23.66 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 149.1 230.3 EPYC 7713 2P 80.5 273.0 439.5 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 120 240 360 480 600
LeelaChessZero CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 207.5 230.7 EPYC 7713 2P 81.1 329.8 460.4 OpenBenchmarking.org Watts, Fewer Is Better LeelaChessZero 0.28 CPU Power Consumption Monitor 120 240 360 480 600
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.28 Backend: Eigen EPYC 7713 EPYC 7713 2P 4 8 12 16 20 17.34 12.41
LeelaChessZero CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 204.2 230.7 EPYC 7713 2P 81.0 328.9 460.6 OpenBenchmarking.org Watts, Fewer Is Better LeelaChessZero 0.28 CPU Power Consumption Monitor 120 240 360 480 600
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.28 Backend: BLAS EPYC 7713 EPYC 7713 2P 5 10 15 20 25 19.07 13.53
CloverLeaf CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 174.1 223.2 EPYC 7713 2P 80.3 347.2 423.2 OpenBenchmarking.org Watts, Fewer Is Better CloverLeaf CPU Power Consumption Monitor 110 220 330 440 550
CloverLeaf Lagrangian-Eulerian Hydrodynamics OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics EPYC 7713 EPYC 7713 2P 5 10 15 20 25 SE +/- 0.07, N = 4 SE +/- 0.36, N = 15 12.00 19.44 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
ASKAP CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 92.5 193.0 EPYC 7713 2P 81.1 181.8 371.2 OpenBenchmarking.org Watts, Fewer Is Better ASKAP 1.0 CPU Power Consumption Monitor 100 200 300 400 500
ASKAP Test: Hogbom Clean OpenMP OpenBenchmarking.org Iterations Per Second Per Watt, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP EPYC 7713 EPYC 7713 2P 1.2794 2.5588 3.8382 5.1176 6.397 5.686 1.759
ASKAP CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 191.5 223.8 EPYC 7713 2P 80.9 397.8 456.8 OpenBenchmarking.org Watts, Fewer Is Better ASKAP 1.0 CPU Power Consumption Monitor 120 240 360 480 600
ASKAP Test: tConvolve MPI - Gridding OpenBenchmarking.org Mpix/sec Per Watt, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding EPYC 7713 EPYC 7713 2P 30 60 90 120 150 114.57 109.93
ONNX Runtime CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 208.4 220.6 EPYC 7713 2P 81.3 393.7 432.4 OpenBenchmarking.org Watts, Fewer Is Better ONNX Runtime 1.11 CPU Power Consumption Monitor 110 220 330 440 550
ONNX Runtime Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.11 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 2 4 6 8 10 7.381 2.228
ONNX Runtime CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 134.0 138.2 EPYC 7713 2P 81.2 240.0 259.0 OpenBenchmarking.org Watts, Fewer Is Better ONNX Runtime 1.11 CPU Power Consumption Monitor 70 140 210 280 350
ONNX Runtime Model: GPT-2 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.11 Model: GPT-2 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 16 32 48 64 80 69.90 32.83
ONNX Runtime CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.4 207.8 217.7 EPYC 7713 2P 80.1 376.1 410.7 OpenBenchmarking.org Watts, Fewer Is Better ONNX Runtime 1.11 CPU Power Consumption Monitor 110 220 330 440 550
ONNX Runtime Model: bertsquad-12 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.11 Model: bertsquad-12 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 0.772 1.544 2.316 3.088 3.86 3.431 1.776
ONNX Runtime CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 138.4 144.1 EPYC 7713 2P 81.0 239.5 266.4 OpenBenchmarking.org Watts, Fewer Is Better ONNX Runtime 1.11 CPU Power Consumption Monitor 70 140 210 280 350
ONNX Runtime Model: super-resolution-10 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.11 Model: super-resolution-10 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 11 22 33 44 55 47.91 19.08
ONNX Runtime CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better ONNX Runtime 1.11 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 80 160 240 320 400 Min: 37.78 / Avg: 203.21 / Max: 225.65 Min: 81.6 / Avg: 430.98 / Max: 454.19
ONNX Runtime Model: fcn-resnet101-11 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 0.2048 0.4096 0.6144 0.8192 1.024 0.91 0.55
ONNX Runtime Model: fcn-resnet101-11 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 50 100 150 200 250 SE +/- 3.69, N = 12 SE +/- 2.05, N = 3 185 237 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.2 199.5 207.6 EPYC 7713 2P 81.1 405.9 431.2 OpenBenchmarking.org Watts, Fewer Is Better ONNX Runtime 1.11 CPU Power Consumption Monitor 110 220 330 440 550
ONNX Runtime Model: yolov4 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.11 Model: yolov4 - Device: CPU - Executor: Standard EPYC 7713 EPYC 7713 2P 0.4705 0.941 1.4115 1.882 2.3525 2.091 0.813
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 212.8 230.3 EPYC 7713 2P 81.0 416.9 461.0 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 214.6 230.3 EPYC 7713 2P 80.5 419.4 460.6 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 215.9 230.3 EPYC 7713 2P 81.0 431.0 461.0 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 217.2 230.3 EPYC 7713 2P 80.8 430.5 460.5 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.2 216.4 230.3 EPYC 7713 2P 80.3 430.2 460.6 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.0 216.7 230.3 EPYC 7713 2P 80.0 432.5 460.9 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 212.3 230.5 EPYC 7713 2P 81.0 412.0 461.4 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 210.0 230.3 EPYC 7713 2P 80.4 408.8 461.3 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 214.6 229.9 EPYC 7713 2P 80.8 422.9 454.9 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.3 215.1 230.2 EPYC 7713 2P 80.5 411.0 459.0 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 212.9 230.3 EPYC 7713 2P 80.7 412.9 460.7 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 202.8 230.8 EPYC 7713 2P 80.6 405.9 462.0 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 120 240 360 480 600
OpenFOAM CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 9 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 80 160 240 320 400 Min: 38.09 / Avg: 213.33 / Max: 230.31 Min: 80.96 / Avg: 441.98 / Max: 460.58
OpenFOAM CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.2 217.7 230.3 EPYC 7713 2P 81.3 443.3 460.6 OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 9 CPU Power Consumption Monitor 120 240 360 480 600
Rodinia CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Rodinia 3.1 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 60 120 180 240 300 Min: 37.31 / Avg: 95.61 / Max: 178.35 Min: 76.91 / Avg: 184.96 / Max: 331.47
Rodinia Test: OpenMP HotSpot3D OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7713 EPYC 7713 2P 20 40 60 80 100 SE +/- 1.40, N = 15 SE +/- 1.37, N = 15 88.02 89.28 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 160.1 185.5 EPYC 7713 2P 80.6 252.9 280.7 OpenBenchmarking.org Watts, Fewer Is Better Rodinia 3.1 CPU Power Consumption Monitor 70 140 210 280 350
Rodinia CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 200.8 230.3 EPYC 7713 2P 81.3 362.6 462.2 OpenBenchmarking.org Watts, Fewer Is Better Rodinia 3.1 CPU Power Consumption Monitor 120 240 360 480 600
Rodinia CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 134.1 228.4 EPYC 7713 2P 81.0 257.2 439.8 OpenBenchmarking.org Watts, Fewer Is Better Rodinia 3.1 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 145.8 229.2 EPYC 7713 2P 81.4 250.7 460.8 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: CG.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C EPYC 7713 EPYC 7713 2P 40 80 120 160 200 165.19 181.81
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 113.8 220.8 EPYC 7713 2P 80.9 197.0 457.5 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: MG.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C EPYC 7713 EPYC 7713 2P 110 220 330 440 550 503.96 511.45
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 163.8 222.4 EPYC 7713 2P 80.6 294.3 451.7 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: IS.D OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D EPYC 7713 EPYC 7713 2P 4 8 12 16 20 16.17 15.94
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 191.3 226.8 EPYC 7713 2P 80.8 351.0 458.4 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: SP.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C EPYC 7713 EPYC 7713 2P 70 140 210 280 350 271.37 331.99
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 128.7 229.8 EPYC 7713 2P 80.4 227.2 460.4 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: SP.B OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B EPYC 7713 EPYC 7713 2P 150 300 450 600 750 698.95 628.09
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 177.1 226.2 EPYC 7713 2P 80.7 318.4 459.8 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: LU.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C EPYC 7713 EPYC 7713 2P 200 400 600 800 1000 767.46 816.26
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 147.0 225.1 EPYC 7713 2P 80.0 255.1 456.5 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: FT.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C EPYC 7713 EPYC 7713 2P 100 200 300 400 500 412.62 457.47
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 202.1 230.6 EPYC 7713 2P 80.8 373.7 460.6 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: EP.D OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D EPYC 7713 EPYC 7713 2P 6 12 18 24 30 23.10 24.38
NAS Parallel Benchmarks Test / Class: EP.D OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D EPYC 7713 EPYC 7713 2P 2K 4K 6K 8K 10K SE +/- 87.49, N = 15 SE +/- 151.57, N = 15 4668.96 9109.24 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 99.7 230.3 EPYC 7713 2P 80.3 170.9 461.2 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: EP.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C EPYC 7713 EPYC 7713 2P 11 22 33 44 55 44.17 48.80
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.1 191.3 229.4 EPYC 7713 2P 79.7 351.7 458.8 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: BT.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C EPYC 7713 EPYC 7713 2P 140 280 420 560 700 669.13 670.57
Quantum ESPRESSO CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Quantum ESPRESSO 7.0 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 80 160 240 320 400 Min: 38.14 / Avg: 226.3 / Max: 231.31 Min: 80.14 / Avg: 453.36 / Max: 465.83
NWChem CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better NWChem 7.0.2 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 80 160 240 320 400 Min: 37.45 / Avg: 228.16 / Max: 230.32 Min: 81.09 / Avg: 458.34 / Max: 461.01
ACES DGEMM CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 169.8 230.3 EPYC 7713 2P 81.0 309.4 460.6 OpenBenchmarking.org Watts, Fewer Is Better ACES DGEMM 1.0 CPU Power Consumption Monitor 120 240 360 480 600
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7713 EPYC 7713 2P 0.0277 0.0554 0.0831 0.1108 0.1385 0.123 0.104
miniFE CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 146.1 213.1 EPYC 7713 2P 81.1 283.6 438.7 OpenBenchmarking.org Watts, Fewer Is Better miniFE 2.2 CPU Power Consumption Monitor 120 240 360 480 600
miniFE Problem Size: Small OpenBenchmarking.org CG Mflops Per Watt, More Is Better miniFE 2.2 Problem Size: Small EPYC 7713 EPYC 7713 2P 30 60 90 120 150 149.72 86.98
Pennant CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 173.1 229.8 EPYC 7713 2P 80.6 294.1 460.6 OpenBenchmarking.org Watts, Fewer Is Better Pennant 1.0.1 CPU Power Consumption Monitor 120 240 360 480 600
Pennant CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.5 149.9 230.3 EPYC 7713 2P 80.8 257.4 460.6 OpenBenchmarking.org Watts, Fewer Is Better Pennant 1.0.1 CPU Power Consumption Monitor 120 240 360 480 600
Pennant Test: leblancbig OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: leblancbig EPYC 7713 EPYC 7713 2P 2 4 6 8 10 SE +/- 0.094028, N = 15 SE +/- 0.079319, N = 15 6.133060 3.556570 1. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
LULESH CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.6 169.9 219.1 EPYC 7713 2P 81.0 356.0 452.9 OpenBenchmarking.org Watts, Fewer Is Better LULESH 2.0.3 CPU Power Consumption Monitor 120 240 360 480 600
LULESH OpenBenchmarking.org z/s Per Watt, More Is Better LULESH 2.0.3 EPYC 7713 EPYC 7713 2P 30 60 90 120 150 113.62 102.40
Kripke CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 151.1 213.0 EPYC 7713 2P 80.6 310.2 398.8 OpenBenchmarking.org Watts, Fewer Is Better Kripke 1.2.4 CPU Power Consumption Monitor 110 220 330 440 550
Kripke OpenBenchmarking.org Throughput FoM Per Watt, More Is Better Kripke 1.2.4 EPYC 7713 EPYC 7713 2P 400K 800K 1200K 1600K 2000K 1791600.71 464047.76
Xcompact3d Incompact3d CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 80 160 240 320 400 Min: 37.94 / Avg: 210.48 / Max: 220.44 Min: 81.73 / Avg: 436.12 / Max: 448.76
Algebraic Multi-Grid Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7713 38.2 189.6 220.2 EPYC 7713 2P 80.3 396.1 449.8 OpenBenchmarking.org Watts, Fewer Is Better Algebraic Multi-Grid Benchmark 1.2 CPU Power Consumption Monitor 120 240 360 480 600
Algebraic Multi-Grid Benchmark OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Algebraic Multi-Grid Benchmark 1.2 EPYC 7713 EPYC 7713 2P 1.1M 2.2M 3.3M 4.4M 5.5M 5339041.55 4855985.26
RELION CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better RELION 3.1.1 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 80 160 240 320 400 Min: 38.17 / Avg: 220.64 / Max: 230.23 Min: 80.71 / Avg: 443.79 / Max: 460.84
WRF CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better WRF 4.2.2 CPU Power Consumption Monitor EPYC 7713 EPYC 7713 2P 80 160 240 320 400 Min: 37.97 / Avg: 213.89 / Max: 233.05 Min: 80.92 / Avg: 444.81 / Max: 460.67
High Performance Conjugate Gradient CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 208.1 224.5 EPYC 7713 2P 80.3 433.3 453.1 OpenBenchmarking.org Watts, Fewer Is Better High Performance Conjugate Gradient 3.1 CPU Power Consumption Monitor 120 240 360 480 600
High Performance Conjugate Gradient OpenBenchmarking.org GFLOP/s Per Watt, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7713 EPYC 7713 2P 0.0207 0.0414 0.0621 0.0828 0.1035 0.092 0.086
Graph500 CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.7 219.0 227.4 EPYC 7713 2P 80.8 443.4 460.3 OpenBenchmarking.org Watts, Fewer Is Better Graph500 3.0 CPU Power Consumption Monitor 120 240 360 480 600
Graph500 Scale: 26 OpenBenchmarking.org sssp max_TEPS Per Watt, More Is Better Graph500 3.0 Scale: 26 EPYC 7713 EPYC 7713 2P 300K 600K 900K 1200K 1500K 1477511.39 880495.41
NAMD CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.9 200.4 230.3 EPYC 7713 2P 80.5 408.2 461.0 OpenBenchmarking.org Watts, Fewer Is Better NAMD 2.14 CPU Power Consumption Monitor 120 240 360 480 600
GROMACS CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.8 206.4 230.3 EPYC 7713 2P 81.1 402.3 461.3 OpenBenchmarking.org Watts, Fewer Is Better GROMACS 2022.1 CPU Power Consumption Monitor 120 240 360 480 600
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day Per Watt, More Is Better GROMACS 2022.1 Implementation: MPI CPU - Input: water_GMX50_bare EPYC 7713 EPYC 7713 2P 0.0056 0.0112 0.0168 0.0224 0.028 0.025 0.020
GPAW CPU Power Consumption Monitor Min Avg Max EPYC 7713 37.0 212.9 229.5 EPYC 7713 2P 81.6 422.5 460.4 OpenBenchmarking.org Watts, Fewer Is Better GPAW 22.1 CPU Power Consumption Monitor 120 240 360 480 600
Phoronix Test Suite v10.8.4