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&export=pdf&sro&grr .
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 wrf: conus 2.5km openfoam: drivaerFastback, Large Mesh Size - Execution Time openfoam: drivaerFastback, Large Mesh Size - Mesh Time spec-jbb2015: SPECjbb2015-Composite critical-jOPS spec-jbb2015: SPECjbb2015-Composite max-jOPS mysqlslap: 4096 mysqlslap: 2048 nwchem: C240 Buckyball renaissance: ALS Movie Lens relion: Basic - CPU brl-cad: VGR Performance Metric incompact3d: X3D-benchmarking input.i3d rodinia: OpenMP HotSpot3D stockfish: Total Time lczero: Eigen lczero: BLAS renaissance: Savina Reactors.IO qe: AUSURF112 onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU pgbench: 100 - 250 - Read Write - Average Latency pgbench: 100 - 250 - Read Write asmfish: 1024 Hash Memory, 26 Depth pgbench: 100 - 500 - Read Write - Average Latency pgbench: 100 - 500 - Read Write renaissance: Apache Spark PageRank graph500: 26 graph500: 26 graph500: 26 graph500: 26 onnx: ArcFace ResNet-100 - CPU - Standard onnx: fcn-resnet101-11 - CPU - Standard onnx: yolov4 - CPU - Standard onnx: super-resolution-10 - CPU - Standard jpegxl: PNG - 8 securemark: SecureMark-TLS hpcg: luaradio: Complex Phase luaradio: Hilbert Transform luaradio: FM Deemphasis Filter luaradio: Five Back to Back FIR Filters blender: Barbershop - CPU-Only onednn: Recurrent Neural Network Inference - u8s8f32 - CPU mlpack: scikit_qda build-linux-kernel: allmodconfig tnn: CPU - DenseNet openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Small Mesh Size - Mesh Time build-llvm: Unix Makefiles numpy: luxcorerender: Danish Mood - CPU luxcorerender: LuxCore Benchmark - CPU compress-lz4: 3 - Decompression Speed compress-lz4: 3 - Compression Speed openssl: SHA256 build-gem5: Time To Compile appleseed: Material Tester webp2: Quality 95, Compression Effort 7 ospray-studio: 3 - 4K - 32 - Path Tracer build-nodejs: Time To Compile pgbench: 100 - 500 - Read Only - Average Latency pgbench: 100 - 500 - Read Only pgbench: 100 - 250 - Read Only - Average Latency pgbench: 100 - 250 - Read Only ospray-studio: 3 - 4K - 16 - Path Tracer ngspice: C2670 build-llvm: Ninja vpxenc: Speed 5 - Bosphorus 4K luxcorerender: Orange Juice - CPU cassandra: Writes clickhouse: 100M Rows Web Analytics Dataset, Third Run clickhouse: 100M Rows Web Analytics Dataset, Second Run clickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cache ospray-studio: 3 - 4K - 1 - Path Tracer ospray-studio: 2 - 4K - 32 - Path Tracer onnx: GPT-2 - CPU - Standard onnx: bertsquad-12 - CPU - Standard ospray-studio: 1 - 4K - 32 - Path Tracer ospray-studio: 2 - 4K - 1 - Path Tracer ospray-studio: 2 - 4K - 16 - Path Tracer ospray-studio: 1 - 4K - 1 - Path Tracer ospray-studio: 1 - 4K - 16 - Path Tracer renaissance: Genetic Algorithm Using Jenetics + Futures npb: EP.D renaissance: In-Memory Database Shootout renaissance: Finagle HTTP Requests ngspice: C7552 etcd: RANGE - 100 - 100 - Average Latency etcd: RANGE - 100 - 100 onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU jpegxl: PNG - 7 appleseed: Emily openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU simdjson: DistinctUserID simdjson: TopTweet apache: 1000 helsing: 14 digit simdjson: PartialTweets apache: 500 nginx: 500 nginx: 1000 sysbench: CPU build-python: Released Build, PGO + LTO Optimized etcd: PUT - 100 - 100 - Average Latency etcd: PUT - 100 - 100 onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU etcd: RANGE - 500 - 100 - Average Latency etcd: RANGE - 500 - 100 etcd: PUT - 500 - 100 - Average Latency etcd: PUT - 500 - 100 etcd: PUT - 100 - 1000 - Average Latency etcd: PUT - 100 - 1000 etcd: RANGE - 100 - 1000 - Average Latency etcd: RANGE - 100 - 1000 ebizzy: node-web-tooling: onednn: Recurrent Neural Network Inference - f32 - CPU etcd: PUT - 500 - 1000 - Average Latency etcd: PUT - 500 - 1000 etcd: RANGE - 500 - 1000 - Average Latency etcd: RANGE - 500 - 1000 blender: Pabellon Barcelona - CPU-Only openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU compress-lz4: 9 - Decompression Speed compress-lz4: 9 - Compression Speed openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU dragonflydb: 50 - 1:5 dragonflydb: 50 - 1:1 dragonflydb: 50 - 5:1 openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU pyperformance: python_startup pjsip: INVITE pjsip: OPTIONS, Stateful openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU luxcorerender: DLSC - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU rocksdb: Update Rand rocksdb: Read Rand Write Rand rocksdb: Read While Writing graphics-magick: Sharpen openssl: RSA4096 openssl: RSA4096 graphics-magick: Enhanced rocksdb: Rand Read graphics-magick: Rotate graphics-magick: HWB Color Space etcpak: Single-Threaded - ETC2 coremark: CoreMark Size 666 - Iterations Per Second blender: Classroom - CPU-Only gpaw: Carbon Nanotube cloverleaf: Lagrangian-Eulerian Hydrodynamics simdjson: Kostya build2: Time To Compile aom-av1: Speed 10 Realtime - Bosphorus 4K natron: Spaceship rodinia: OpenMP Leukocyte svt-hevc: 1 - Bosphorus 4K build-wasmer: Time To Compile simdjson: LargeRand srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAM minife: Small luxcorerender: Rainbow Colors and Prism - CPU mlpack: scikit_ica askap: tConvolve MPI - Gridding askap: tConvolve MPI - Degridding webp2: Quality 75, Compression Effort 7 compress-zstd: 19 - Decompression Speed compress-zstd: 19 - Compression Speed compress-zstd: 19, Long Mode - Decompression Speed compress-zstd: 19, Long Mode - Compression Speed build-linux-kernel: defconfig compress-7zip: Decompression Rating compress-7zip: Compression Rating kripke: jpegxl-decode: 1 webp: Quality 100, Lossless, Highest Compression build-godot: Time To Compile primesieve: 1e13 srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM avifenc: 2 pyperformance: chaos gromacs: MPI CPU - water_GMX50_bare build-php: Time To Compile redis: GET - 1000 amg: appleseed: Disney Material kvazaar: Bosphorus 4K - Ultra Fast rodinia: OpenMP LavaMD srsran: OFDM_Test srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAM embree: Pathtracer - Asian Dragon embree: Pathtracer ISPC - Asian Dragon onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU pyperformance: regex_compile pjsip: OPTIONS, Stateless libraw: Post-Processing Benchmark blender: Fishy Cat - CPU-Only npb: IS.D renaissance: Apache Spark Bayes aircrack-ng: encode-flac: WAV To FLAC x265: Bosphorus 4K synthmark: VoiceMark_100 quantlib: xmrig: Monero - 1M namd: ATPase Simulation - 327,506 Atoms pennant: leblancbig phpbench: PHP Benchmark Suite jpegxl: JPEG - 7 xmrig: Wownero - 1M mlpack: scikit_svm dacapobench: Tradebeans blender: BMW27 - CPU-Only lulesh: pyperformance: pickle_pure_python tnn: CPU - MobileNet v2 cython-bench: N-Queens npb: SP.C pybench: Total For Average Test Times node-express-loadtest: srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM oidn: RT.hdr_alb_nrm.3840x2160 npb: BT.C svt-hevc: 10 - Bosphorus 4K oidn: RT.ldr_alb_nrm.3840x2160 build-apache: Time To Compile askap: Hogbom Clean OpenMP liquid-dsp: 256 - 256 - 57 kvazaar: Bosphorus 4K - Very Fast liquid-dsp: 128 - 256 - 57 liquid-dsp: 64 - 256 - 57 liquid-dsp: 32 - 256 - 57 npb: SP.B srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAM build-mesa: Time To Compile tnn: CPU - SqueezeNet v1.1 build-ffmpeg: Time To Compile jpegxl-decode: All basis: UASTC Level 3 sysbench: RAM / Memory npb: LU.C svt-av1: Preset 12 - Bosphorus 4K aom-av1: Speed 9 Realtime - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K astcenc: Exhaustive webp: Quality 100, Lossless embree: Pathtracer ISPC - Crown jpegxl: JPEG - 8 povray: Trace Time mt-dgemm: Sustained Floating-Point Rate basis: UASTC Level 2 embree: Pathtracer - Crown astcenc: Thorough encode-mp3: WAV To MP3 draco: Church Facade npb: CG.C onednn: Convolution Batch Shapes Auto - f32 - CPU pennant: sedovbig m-queens: Time To Solve avifenc: 6, Lossless draco: Lion webp: Quality 100, Highest Compression rodinia: OpenMP CFD Solver svt-av1: Preset 10 - Bosphorus 4K npb: FT.C basis: UASTC Level 0 webp2: Default octave-benchmark: dacapobench: Jython svt-hevc: 7 - Bosphorus 4K avifenc: 10, Lossless astcenc: Medium tnn: CPU - SqueezeNet v2 npb: EP.C etcpak: Multi-Threaded - ETC2 avifenc: 6 npb: MG.C webp2: Quality 100, Compression Effort 5 webp: Quality 100 webp: Default build-python: Default ctx-clock: Context Switch Time blake2: EPYC 7713 2P EPYC 7713 8650.839 7052.62 776.38 68946 130899 140 150 2183.6 24613.1 290.961 3240515 300.691142 89.280 279486942 4093 4449 12254.2 399.92 2840.05 15.076 16633 248870519 35.094 14261 3985.7 390377000 302338000 659467000 642516000 877 237 330 4569 1.00 249582 37.1011 623.8 98.4 364.3 1211.6 171.52 2754.45 31.84 160.463 3065.920 281.7 124.96 178.675 469.38 7.50 7.63 10743.2 54.18 134629156527 159.015 336.583119 0.31 52785 113.466 0.248 2012722 0.126 1983155 26510 137.362 105.032 13.86 18.60 209921 396.82 387.01 377.52 1646 45460 7878 668 44624 1424 22742 1379 22158 2314.9 9109.24 6136.4 10535.4 105.951 2.7 37230.3273 7473.91 10.74 151.531071 3597.47 17.59 4.42 4.39 84767.73 62.129 3.84 91255.79 90312.00 94018.12 500125.79 261.337 2.6 38209.4202 7531.12 7435.34 2.6 38506.6051 2.6 38992.8158 23.7 41860.4825 23.4 42305.6183 453258 10.50 2840.33 22.8 43696.7618 22.6 44040.7135 53.88 4777.15 13.10 10851.4 52.51 4774.37 13.09 724442.87 724466.22 724635.93 1388.41 45.84 7.71 4692 8819 292.82 218.13 22.16 2884.44 12.23 20.38 3136.14 35.75 1788.34 2.11 57763.89 28.05 4559.42 3.27 37561.07 33.55 1905.51 304654 2922167 14564673 779 1638050.5 25009.6 1344 480175332 730 1093 229.637 4105747.139772 40.89 43.857 19.44 2.9 53.232 57.04 1.9 47.284 15.08 51.869 1 143.6 392.3 24664.8 16.99 46.40 43735.8 39742.0 0.55 3473.0 84.7 3485.8 39.9 21.584 634086 516617 143950267 66.93 0.56 41.167 28.718 141.0 426.1 41.213 95.8 8.215 38.338 1364479.13 1923306667 50.464258 58.52 26.740 130333333 133.6 394.1 68.8759 67.1736 30.0116 155 67617 37.96 22.25 4690.06 638.1 149778.797 18.133 21.48 748.057 2808.8 50749.6 0.26712 3.556570 726003 100.77 41982.9 21.45 4568 17.19 36456.229 385 341.281 23.312 116527.63 953 6198 62.2 127.9 2.26 235808.54 195.62 2.26 20.521 319.756 5350900000 54.24 5085066667 3191533333 1614266667 142675.55 149.6 427.4 18.100 273.848 14.271 569.97 11.402 7260.66 259899.49 179.550 55.62 68.797 6.4499 1.42 82.9263 28.92 7.590 32.071227 8.773 89.6006 58.4744 7.490 7525 45587.10 0.640833 5.675895 6.376 7.334 5735 3.47 6.283 123.806 116679.26 6.379 9.70 6.545 4106 144.70 5.558 380.6467 65.894 8338.27 6678.565 3.957 100740.89 6.41 10.65 16.75 15.39 120 3.39 16959.848 14972.97 888.82 85389 127957 247 615 2491.1 18814.1 563.271 697698 609.677470 88.019 149383689 3598 3893 8004.9 397.64 1229.56 3.400 73527 138776102 7.980 62654 3067.3 323593000 254477000 642278000 622681000 1538 185 417 6631 1.02 247747 19.1088 628.9 98.6 365.4 1189.0 299.30 1253.50 29.19 272.609 3107.102 633.93 139.89 218.445 464.56 6.20 6.84 14123.3 55.43 68101809853 176.430 152.394204 0.24 100051 164.001 0.365 1370935 0.193 1297684 47134 136.020 159.575 15.86 12.48 250596 394.98 392.92 378.44 2922 86081 9368 713 84968 2496 40058 2463 39568 2243.2 4668.96 5009.2 6720.8 103.387 1.3 79219.6509 2984.47 11.11 133.04347 3555.78 8.97 4.40 4.39 109150.30 120.999 3.86 115006.99 173899.19 174524.79 252440.57 261.365 1.3 78829.5888 2943.08 2950.43 1.2 82098.4178 1.2 81895.9623 12.4 79978.1905 12.4 80131.7958 246494 10.60 1266.20 11.9 83927.6558 11.8 84602.7803 96.30 4601.78 6.82 14156.7 53.89 4600.94 6.81 3599739.57 3382696.79 3244708.36 1293.51 24.59 7.64 4690 9115 274.57 116.33 20.82 1535.08 8.33 18.93 1689.18 34.17 935.58 1.06 49691.03 25.97 2462.40 2.03 30742.17 31.02 1030.76 358336 3561841 9182167 511 825904.1 12613.1 941 242074798 746 1303 230.432 2045229.645896 77.14 71.658 12.00 2.9 58.956 63.90 6.0 43.392 9.91 51.965 1 143.6 396.0 21875.1 21.13 45.27 21943.0 20252.1 0.48 3401.6 84.9 3460.3 47.4 29.409 354608 351077 270722527 67.62 0.56 43.354 55.255 141.4 431.8 40.766 96.5 5.130 39.763 1990067.33 1012051667 61.265637 56.53 46.547 136633333 133.7 394.4 62.9814 56.8098 12.5608 156 66602 39.40 38.85 2648.96 585.6 149666.943 18.129 26.69 747.308 2795.3 28612.4 0.45457 6.133060 733332 104.58 36467.2 21.33 3998 30.43 19305.656 387 332.611 23.384 51921.71 959 6367 62.4 128.9 1.40 127998.61 223.66 1.41 20.100 520.840 2767166667 36.71 2706900000 2577666667 1605566667 89950.76 149.6 430.5 20.610 273.481 18.146 731.88 15.385 9990.12 135917.43 184.711 65.49 70.783 3.2659 1.40 47.5583 29.24 10.680 20.880271 10.615 51.8334 30.4554 7.472 7411 24085.73 0.934706 11.42723 12.238 7.184 5613 3.48 6.845 131.270 60659.25 6.221 9.00 6.582 4033 137.74 5.398 236.6020 65.617 4406.02 6702.518 3.846 57329.70 10.85 10.69 16.78 15.708 120 3.39 OpenBenchmarking.org
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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: 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
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
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
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
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
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
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
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
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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).
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).
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).
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
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
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
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
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
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
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
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
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
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
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
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
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
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: 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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: 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: 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: 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: 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
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
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
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
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
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
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: 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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: 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: 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
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
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
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: 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
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: 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
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
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
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: 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: 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
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
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 - 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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 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 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 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
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 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 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 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
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