Ubuntu 22.04 Server Benchmarks

AMD EPYC 7713 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2209132-NE-UBUNTU22004&sro&grt.

Ubuntu 22.04 Server BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC 7713 2PEPYC 77132 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse512GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Mellanox MT27710Ubuntu 22.045.15.0-47-generic (x86_64)GNOME Shell 42.4X Server 1.21.1.31.2.204GCC 11.2.0ext41920x1080AMD EPYC 7713 64-Core @ 2.00GHz (64 Cores / 128 Threads)256GBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler 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: 0xa001173Java Details- OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Details- Python 3.10.4Security 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 Benchmarkscompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingmt-dgemm: Sustained Floating-Point Rateaircrack-ng: amg: aom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kcassandra: Writesapache: 500apache: 1000appleseed: Emilyappleseed: Disney Materialappleseed: Material Testeraskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: Hogbom Clean OpenMPasmfish: 1024 Hash Memory, 26 Depthastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3blake2: blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlybrl-cad: VGR Performance Metricbuild2: Time To Compileclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, Third Runcloverleaf: Lagrangian-Eulerian Hydrodynamicscoremark: CoreMark Size 666 - Iterations Per Secondctx-clock: Context Switch Timecython-bench: N-Queensdacapobench: Jythondacapobench: Tradebeansdragonflydb: 50 - 1:5dragonflydb: 50 - 1:1dragonflydb: 50 - 5:1ebizzy: embree: Pathtracer - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownetcd: PUT - 100 - 100etcd: PUT - 100 - 100 - Average Latencyetcd: PUT - 100 - 1000etcd: PUT - 100 - 1000 - Average Latencyetcd: PUT - 500 - 100etcd: PUT - 500 - 100 - Average Latencyetcd: PUT - 500 - 1000etcd: PUT - 500 - 1000 - Average Latencyetcd: RANGE - 100 - 100etcd: RANGE - 100 - 100 - Average Latencyetcd: RANGE - 100 - 1000etcd: RANGE - 100 - 1000 - Average Latencyetcd: RANGE - 500 - 100etcd: RANGE - 500 - 100 - Average Latencyetcd: RANGE - 500 - 1000etcd: RANGE - 500 - 1000 - Average Latencyetcpak: Single-Threaded - ETC2etcpak: Multi-Threaded - ETC2rocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randencode-flac: WAV To FLACoctave-benchmark: draco: Church Facadedraco: Lionsynthmark: VoiceMark_100gpaw: Carbon Nanotubegraph500: 26graph500: 26graph500: 26graph500: 26graphics-magick: HWB Color Spacegraphics-magick: Enhancedgraphics-magick: Rotategraphics-magick: Sharpengromacs: MPI CPU - water_GMX50_barehelsing: 14 digithpcg: oidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160jpegxl-decode: 1jpegxl-decode: Alljpegxl: JPEG - 7jpegxl: JPEG - 8jpegxl: PNG - 7jpegxl: PNG - 8kripke: kvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastencode-mp3: WAV To MP3lczero: BLASlczero: Eigenavifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslesslibraw: Post-Processing Benchmarkliquid-dsp: 32 - 256 - 57liquid-dsp: 64 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 256 - 256 - 57luaradio: Five Back to Back FIR Filtersluaradio: FM Deemphasis Filterluaradio: Hilbert Transformluaradio: Complex Phaselulesh: luxcorerender: DLSC - CPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUluxcorerender: Danish Mood - CPUcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedm-queens: Time To Solvemysqlslap: 2048mysqlslap: 4096minife: Smallmlpack: scikit_svmmlpack: scikit_qdamlpack: scikit_icanamd: ATPase Simulation - 327,506 Atomsnpb: BT.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: LU.Cnpb: SP.Bnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cnatron: Spaceshipnginx: 500nginx: 1000ngspice: C2670ngspice: C7552node-express-loadtest: node-web-tooling: numpy: nwchem: C240 Buckyballonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Large Mesh Size - Mesh Timeopenfoam: drivaerFastback, Large Mesh Size - Execution Timeopenssl: RSA4096openssl: RSA4096openssl: SHA256openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerpennant: leblancbigpennant: sedovbigphpbench: PHP Benchmark Suitepjsip: OPTIONS, Statefulpjsip: OPTIONS, Statelesspjsip: INVITEpgbench: 100 - 250 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 500 - Read Only - Average Latencypovray: Trace Timeprimesieve: 1e13pybench: Total For Average Test Timespyperformance: chaospyperformance: pickle_pure_pythonpyperformance: python_startuppyperformance: regex_compilequantlib: qe: AUSURF112redis: GET - 1000relion: Basic - CPUrenaissance: Savina Reactors.IOrenaissance: Apache Spark Bayesrenaissance: Apache Spark PageRankrenaissance: In-Memory Database Shootoutrenaissance: Finagle HTTP Requestsrenaissance: Genetic Algorithm Using Jenetics + Futuresrenaissance: ALS Movie Lensrodinia: OpenMP CFD Solverrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyterodinia: OpenMP HotSpot3Dsecuremark: SecureMark-TLSsimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetspec-jbb2015: SPECjbb2015-Composite max-jOPSspec-jbb2015: SPECjbb2015-Composite critical-jOPSsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: OFDM_Teststockfish: Total Timesvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 10 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 4Ksysbench: CPUsysbench: RAM / Memorybuild-apache: Time To Compilebuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedbuild-ffmpeg: Time To Compilebuild-gem5: Time To Compilebuild-godot: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-mesa: Time To Compilebuild-nodejs: Time To Compilebuild-php: Time To Compilebuild-wasmer: Time To Compiletnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2vpxenc: Speed 5 - Bosphorus 4Kwebp: Defaultwebp: Quality 100webp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Quality 100, Lossless, Highest Compressionwebp2: Defaultwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5wrf: conus 2.5kmx265: Bosphorus 4Kincompact3d: X3D-benchmarking input.i3dxmrig: Monero - 1Mxmrig: Wownero - 1Mcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression SpeedEPYC 7713 2PEPYC 771351661763408632.071227149778.797192330666757.0455.6220992191255.7984767.73151.53107150.464258336.58311939742.043735.8319.756248870519380.646758.47446.44996.3798.77311.4023.3917.1940.8922.2553.88171.52324051553.232377.52387.01396.8219.444105747.13977212023.31241064568724442.87724466.22724635.9345325868.875989.600667.173682.926338209.42022.641860.482523.738992.81582.643696.761822.837230.32732.742305.618323.438506.60512.644040.713522.6229.6376678.56548017533214564673292216730465418.1336.54575255735748.05743.857642516000659467000302338000390377000109313447307798.21562.12937.10112.262.2666.93569.97100.7728.9210.741.0014395026754.2458.527.4904449409341.2133.9577.3345.55837.9616142666673191533333508506666753509000001211.6364.398.4623.836456.22912.2316.997.6318.607.5054.1810743.252.5110851.46.37615014024664.821.4531.8446.400.26712235808.548338.279109.24116679.26259899.49142675.55116527.634690.06100740.8945587.101.990312.0094018.12137.362105.951619810.50469.382183.60.64083330.01167531.127435.347473.912840.332754.452840.0533023745696687878877124.96281.7776.387052.6225009.61638050.513462915652717.593597.4745.841388.4137561.073.2757763.892.1113.104777.1513.094774.374559.4228.051905.5133.553136.1420.381788.3435.752884.4422.16218.13292.821379221584462414242274245460164626510527853.5565705.67589572600388196761746921663315.07619831550.1261426135.09420127220.2487.59028.71895395.83857.711552808.8399.921364479.13290.96112254.2638.13985.76136.410535.42314.924613.16.28326.74047.28489.2802495823.8412.94.424.3913089968946392.3143.6427.4149.6394.1133.6426.1141.0127.962.2130333333279486942179.550123.80668.79715.08144.70195.62500125.797260.6620.52115.39261.33714.271159.01541.16721.584160.463105.032178.67518.100113.46638.33851.8693065.920341.281273.84865.89413.8616.7510.653.471.420.569.700.550.316.418650.83921.48300.69114250749.641982.984.73473.039.93485.835107735460820.880271149666.943101205166763.9065.49250596115006.99109150.30133.0434761.265637152.39420420252.121943.0520.840138776102236.602030.45543.26596.22110.61515.3853.3930.4377.1438.8596.30299.3069769858.956378.44392.92394.9812.002045229.64589612023.384403339983599739.573382696.793244708.3624649462.981451.833456.809847.558378829.58881.379978.190512.481895.96231.283927.655811.979219.65091.380131.795812.482098.41781.284602.780311.8230.4326702.5182420747989182167356184135833618.1296.58274115613747.30871.65862268100064227800025447700032359300013039417465115.130120.99919.10881.401.4167.62731.88104.5829.2411.111.0227072252736.7156.537.4723893359840.7663.8467.1845.39839.4016055666672577666667270690000027671666671189.0365.498.6628.919305.6568.3321.136.8412.486.2055.4314123.353.8914156.712.23861524721875.121.3329.1945.270.45457127998.614406.024668.9660659.25135917.4389950.7651921.712648.9657329.7024085.736.0173899.19174524.79136.020103.387636710.60464.562491.10.93470612.56082943.082950.432984.471266.201253.501229.56417185663171393681538139.89633.93888.8214972.9712613.1825904.1681018098538.973555.7824.591293.5130742.172.0349691.031.066.824601.786.814600.942462.4025.971030.7631.021689.1818.93935.5834.171535.0820.82116.33274.5724633956884968249640058860812922471341000516.13306011.427237333329115666024690735273.40012976840.193626547.98013709350.36510.68055.25595996.53877.641562795.3397.641990067.33563.2718004.9585.63067.35009.26720.82243.218814.16.84546.54743.39288.0192477473.8612.94.404.3912795785389396.0143.6430.5149.6394.4133.7431.8141.4128.962.4136633333149383689184.711131.27070.7839.91137.74223.66252440.579990.1220.10015.708261.36518.146176.43043.35429.409272.609159.575218.44520.610164.00139.76351.9653107.102332.611273.48165.61715.8616.7810.693.481.400.569.000.480.2410.8516959.84826.69609.67747028612.436467.284.93401.647.43460.3OpenBenchmarking.org

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 7713EPYC 7713 2P110K220K330K440K550KSE +/- 361.70, N = 3SE +/- 4935.82, N = 33510775166171. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 7713EPYC 7713 2P140K280K420K560K700KSE +/- 180.78, N = 3SE +/- 2913.98, N = 33546086340861. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 7713EPYC 7713 2P4008001200160020001806.441638.03

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4196.3229.2EPYC 7713 2P81.2387.1460.8OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor120240360480600

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7713EPYC 7713 2P714212835SE +/- 0.08, N = 5SE +/- 0.29, N = 620.8832.071. (CC) gcc options: -O3 -march=native -fopenmp

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7713EPYC 7713 2P0.02770.05540.08310.11080.13850.1230.104

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5169.8230.3EPYC 7713 2P81.0309.4460.6OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor120240360480600

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7EPYC 7713EPYC 7713 2P30K60K90K120K150KSE +/- 854.57, N = 3SE +/- 293.66, N = 3149666.94149778.801. (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

Aircrack-ng

OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.7EPYC 7713EPYC 7713 2P160320480640800736.47377.12

Aircrack-ng

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.2203.2230.1EPYC 7713 2P81.1397.2445.2OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.7CPU Power Consumption Monitor120240360480600

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7713EPYC 7713 2P400M800M1200M1600M2000MSE +/- 863687.12, N = 3SE +/- 699794.57, N = 3101205166719233066671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7713EPYC 7713 2P1.1M2.2M3.3M4.4M5.5M5339041.554855985.26

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.2189.6220.2EPYC 7713 2P80.3396.1449.8OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor120240360480600

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.4Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P1428425670SE +/- 0.51, N = 15SE +/- 0.53, N = 1563.9057.041. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.4Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P0.14540.29080.43620.58160.7270.6460.298

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.398.9126.4EPYC 7713 2P78.4191.2238.5OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.4CPU Power Consumption Monitor60120180240300

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.4Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P1530456075SE +/- 0.10, N = 5SE +/- 0.33, N = 565.4955.621. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.4Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P0.14850.2970.44550.5940.74250.6600.301

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.499.3126.8EPYC 7713 2P80.2184.9234.4OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.4CPU Power Consumption Monitor60120180240300

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: WritesEPYC 7713EPYC 7713 2P50K100K150K200K250KSE +/- 786.81, N = 3SE +/- 1824.75, N = 3250596209921

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.0Test: WritesEPYC 7713EPYC 7713 2P300600900120015001328.21598.21

Apache Cassandra

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.2188.7217.9EPYC 7713 2P81.1350.9403.8OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.0CPU Power Consumption Monitor110220330440550

Apache HTTP Server

Concurrent Requests: 500

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 500EPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 303.82, N = 3SE +/- 594.33, N = 3115006.9991255.791. (CC) gcc options: -shared -fPIC -O2

Apache HTTP Server

Concurrent Requests: 500

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 500EPYC 7713EPYC 7713 2P120240360480600566.88226.90

Apache HTTP Server

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8202.9225.4EPYC 7713 2P80.5402.2431.7OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption Monitor110220330440550

Apache HTTP Server

Concurrent Requests: 1000

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 1000EPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 83.20, N = 3SE +/- 151.47, N = 3109150.3084767.731. (CC) gcc options: -shared -fPIC -O2

Apache HTTP Server

Concurrent Requests: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 1000EPYC 7713EPYC 7713 2P120240360480600557.36210.61

Apache HTTP Server

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7195.8218.1EPYC 7713 2P80.5402.5436.3OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption Monitor110220330440550

Appleseed

Scene: Emily

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyEPYC 7713EPYC 7713 2P306090120150133.04151.53

Appleseed

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1184.3230.4EPYC 7713 2P80.6328.8422.8OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor110220330440550

Appleseed

Scene: Disney Material

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialEPYC 7713EPYC 7713 2P142842567061.2750.46

Appleseed

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7198.4209.6EPYC 7713 2P80.3351.6395.6OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor110220330440550

Appleseed

Scene: Material Tester

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterEPYC 7713EPYC 7713 2P70140210280350152.39336.58

Appleseed

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7189.2207.8EPYC 7713 2P80.9276.8313.6OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor80160240320400

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 7713EPYC 7713 2P9K18K27K36K45KSE +/- 173.09, N = 3SE +/- 448.28, N = 320252.139742.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7713EPYC 7713 2P9K18K27K36K45KSE +/- 76.73, N = 3SE +/- 263.02, N = 321943.043735.81. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7713EPYC 7713 2P306090120150114.57109.93

ASKAP

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8191.5223.8EPYC 7713 2P80.9397.8456.8OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor120240360480600

ASKAP

Test: Hogbom Clean OpenMP

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPEPYC 7713EPYC 7713 2P110220330440550SE +/- 1.11, N = 4SE +/- 1.13, N = 4520.84319.761. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: Hogbom Clean OpenMP

OpenBenchmarking.orgIterations Per Second Per Watt, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPEPYC 7713EPYC 7713 2P1.27942.55883.83825.11766.3975.6861.759

ASKAP

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.792.5193.0EPYC 7713 2P81.1181.8371.2OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor100200300400500

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7713EPYC 7713 2P50M100M150M200M250MSE +/- 277360.08, N = 3SE +/- 2119737.62, N = 12138776102248870519

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7713EPYC 7713 2P130K260K390K520K650K626117.05560328.94

asmFish

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7221.6230.2EPYC 7713 2P80.3444.2461.1OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor120240360480600

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumEPYC 7713EPYC 7713 2P80160240320400SE +/- 0.11, N = 7SE +/- 1.30, N = 7236.60380.651. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: MediumEPYC 7713EPYC 7713 2P0.55891.11781.67672.23562.79452.4842.209

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.295.2229.4EPYC 7713 2P80.5172.4441.3OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor120240360480600

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughEPYC 7713EPYC 7713 2P1326395265SE +/- 0.02, N = 4SE +/- 0.06, N = 530.4658.471. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ThoroughEPYC 7713EPYC 7713 2P0.05580.11160.16740.22320.2790.2130.248

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.2143.2230.0EPYC 7713 2P80.7235.5457.3OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor120240360480600

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveEPYC 7713EPYC 7713 2P246810SE +/- 0.0030, N = 3SE +/- 0.0100, N = 43.26596.44991. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ExhaustiveEPYC 7713EPYC 7713 2P0.00520.01040.01560.02080.0260.0190.023

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5169.6230.3EPYC 7713 2P80.8278.8460.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor120240360480600

Basis Universal

Settings: UASTC Level 0

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 0EPYC 7713EPYC 7713 2P246810SE +/- 0.006, N = 7SE +/- 0.015, N = 66.2216.3791. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.366.3122.5EPYC 7713 2P80.6133.6224.3OpenBenchmarking.orgWatts, Fewer Is BetterBasis Universal 1.13CPU Power Consumption Monitor60120180240300

Basis Universal

Settings: UASTC Level 2

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 2EPYC 7713EPYC 7713 2P3691215SE +/- 0.005, N = 5SE +/- 0.029, N = 510.6158.7731. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.3112.7230.3EPYC 7713 2P80.6187.4444.9OpenBenchmarking.orgWatts, Fewer Is BetterBasis Universal 1.13CPU Power Consumption Monitor120240360480600

Basis Universal

Settings: UASTC Level 3

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 3EPYC 7713EPYC 7713 2P48121620SE +/- 0.01, N = 4SE +/- 0.07, N = 415.3911.401. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4141.1230.3EPYC 7713 2P80.4231.5460.4OpenBenchmarking.orgWatts, Fewer Is BetterBasis Universal 1.13CPU Power Consumption Monitor120240360480600

BLAKE2

OpenBenchmarking.orgCycles Per Byte, Fewer Is BetterBLAKE2 20170307EPYC 7713EPYC 7713 2P0.76281.52562.28843.05123.814SE +/- 0.00, N = 14SE +/- 0.00, N = 143.393.391. (CC) gcc options: -O3 -march=native -lcrypto -lz

BLAKE2

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.042.962.1EPYC 7713 2P79.591.3129.4OpenBenchmarking.orgWatts, Fewer Is BetterBLAKE2 20170307CPU Power Consumption Monitor4080120160200

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-OnlyEPYC 7713EPYC 7713 2P714212835SE +/- 0.08, N = 3SE +/- 0.23, N = 330.4317.19

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4202.1230.3EPYC 7713 2P81.0369.5460.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption Monitor120240360480600

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Classroom - Compute: CPU-OnlyEPYC 7713EPYC 7713 2P20406080100SE +/- 0.09, N = 3SE +/- 0.23, N = 377.1440.89

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8218.4230.6EPYC 7713 2P80.3418.9460.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption Monitor120240360480600

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7713EPYC 7713 2P918273645SE +/- 0.03, N = 3SE +/- 0.08, N = 338.8522.25

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.2204.3230.3EPYC 7713 2P81.0376.8460.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption Monitor120240360480600

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7713EPYC 7713 2P20406080100SE +/- 0.08, N = 3SE +/- 0.25, N = 396.3053.88

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1219.6230.3EPYC 7713 2P80.9423.9461.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption Monitor120240360480600

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyEPYC 7713EPYC 7713 2P70140210280350SE +/- 0.18, N = 3SE +/- 0.28, N = 3299.30171.52

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.0224.7231.2EPYC 7713 2P80.3436.3461.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption Monitor120240360480600

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricEPYC 7713EPYC 7713 2P700K1400K2100K2800K3500K69769832405151. (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

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.32.6VGR Performance MetricEPYC 7713EPYC 7713 2P4K8K12K16K20K3133.8317175.93

BRL-CAD

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4222.6230.5EPYC 7713 2P78.8188.7340.4OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.32.6CPU Power Consumption Monitor80160240320400

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 7713EPYC 7713 2P1326395265SE +/- 0.18, N = 3SE +/- 0.25, N = 358.9653.23

Build2

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.3134.2230.0EPYC 7713 2P79.9228.4460.7OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.13CPU Power Consumption Monitor120240360480600

ClickHouse

100M Rows Web Analytics Dataset, First Run / Cold Cache

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, First Run / Cold CacheEPYC 7713EPYC 7713 2P80160240320400SE +/- 3.68, N = 15SE +/- 4.60, N = 3378.44377.52MIN: 37.15 / MAX: 20000MIN: 43.89 / MAX: 200001. ClickHouse server version 22.5.4.19 (official build).

ClickHouse

100M Rows Web Analytics Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Second RunEPYC 7713EPYC 7713 2P90180270360450SE +/- 2.54, N = 15SE +/- 2.92, N = 3392.92387.01MIN: 41.75 / MAX: 30000MIN: 63.9 / MAX: 200001. ClickHouse server version 22.5.4.19 (official build).

ClickHouse

100M Rows Web Analytics Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunEPYC 7713EPYC 7713 2P90180270360450SE +/- 1.58, N = 15SE +/- 2.46, N = 3394.98396.82MIN: 40.79 / MAX: 20000MIN: 60.67 / MAX: 200001. ClickHouse server version 22.5.4.19 (official build).

ClickHouse

100M Rows Web Analytics Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunEPYC 7713EPYC 7713 2P0.61741.23481.85222.46963.0872.7441.522

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8144.0209.3EPYC 7713 2P80.8260.6374.0OpenBenchmarking.orgWatts, Fewer Is BetterClickHouse 22.5.4.19CPU Power Consumption Monitor100200300400500

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsEPYC 7713EPYC 7713 2P510152025SE +/- 0.07, N = 4SE +/- 0.36, N = 1512.0019.441. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4174.1223.2EPYC 7713 2P80.3347.2423.2OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeafCPU Power Consumption Monitor110220330440550

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7713EPYC 7713 2P900K1800K2700K3600K4500KSE +/- 10186.88, N = 3SE +/- 2413.85, N = 32045229.654105747.141. (CC) gcc options: -O2 -lrt" -lrt

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7713EPYC 7713 2P2K4K6K8K10K9708.0410250.92

Coremark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6210.7229.9EPYC 7713 2P80.2400.5461.7OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor120240360480600

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 77134080120160200Min: 18.73 / Avg: 175.52 / Max: 233.05

ctx_clock

Context Switch Time

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeEPYC 7713EPYC 7713 2P306090120150SE +/- 0.00, N = 13SE +/- 0.00, N = 13120120

ctx_clock

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.245.572.6EPYC 7713 2P80.698.4148.7OpenBenchmarking.orgWatts, Fewer Is Betterctx_clockCPU Power Consumption Monitor4080120160200

Cython Benchmark

Test: N-Queens

OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-QueensEPYC 7713EPYC 7713 2P612182430SE +/- 0.08, N = 3SE +/- 0.04, N = 323.3823.31

Cython Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.570.777.4EPYC 7713 2P80.0140.2154.0OpenBenchmarking.orgWatts, Fewer Is BetterCython Benchmark 0.29.21CPU Power Consumption Monitor4080120160200

DaCapo Benchmark

Java Test: Jython

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonEPYC 7713EPYC 7713 2P9001800270036004500SE +/- 15.40, N = 7SE +/- 23.41, N = 740334106

DaCapo Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.367.4119.8EPYC 7713 2P80.5136.9224.9OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor60120180240300

DaCapo Benchmark

Java Test: Tradebeans

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansEPYC 7713EPYC 7713 2P10002000300040005000SE +/- 31.86, N = 5SE +/- 35.66, N = 939984568

DaCapo Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.380.4137.2EPYC 7713 2P79.8156.1234.0OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor60120180240300

Dragonflydb

Clients: 50 - Set To Get Ratio: 1:5

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:5EPYC 7713EPYC 7713 2P800K1600K2400K3200K4000KSE +/- 3261.92, N = 3SE +/- 634.91, N = 33599739.57724442.871. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Dragonflydb

Clients: 50 - Set To Get Ratio: 1:5

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:5EPYC 7713EPYC 7713 2P4K8K12K16K20K19066.012246.96

Dragonflydb

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6188.8212.4EPYC 7713 2P81.4322.4362.5OpenBenchmarking.orgWatts, Fewer Is BetterDragonflydb 0.6CPU Power Consumption Monitor100200300400500

Dragonflydb

Clients: 50 - Set To Get Ratio: 1:1

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:1EPYC 7713EPYC 7713 2P700K1400K2100K2800K3500KSE +/- 14735.29, N = 3SE +/- 1586.54, N = 33382696.79724466.221. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Dragonflydb

Clients: 50 - Set To Get Ratio: 1:1

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:1EPYC 7713EPYC 7713 2P4K8K12K16K20K18071.082245.75

Dragonflydb

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9187.2210.6EPYC 7713 2P81.0322.6363.1OpenBenchmarking.orgWatts, Fewer Is BetterDragonflydb 0.6CPU Power Consumption Monitor100200300400500

Dragonflydb

Clients: 50 - Set To Get Ratio: 5:1

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 5:1EPYC 7713EPYC 7713 2P700K1400K2100K2800K3500KSE +/- 917.19, N = 3SE +/- 986.76, N = 33244708.36724635.931. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Dragonflydb

Clients: 50 - Set To Get Ratio: 5:1

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 5:1EPYC 7713EPYC 7713 2P4K8K12K16K20K17435.642257.57

Dragonflydb

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8186.1209.2EPYC 7713 2P80.7321.0361.2OpenBenchmarking.orgWatts, Fewer Is BetterDragonflydb 0.6CPU Power Consumption Monitor100200300400500

ebizzy

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 7713EPYC 7713 2P100K200K300K400K500KSE +/- 2042.62, N = 9SE +/- 5345.80, N = 152464944532581. (CC) gcc options: -pthread -lpthread -O3 -march=native

ebizzy

OpenBenchmarking.orgRecords/s Per Watt, More Is Betterebizzy 0.3EPYC 7713EPYC 7713 2P300600900120015001324.991178.37

ebizzy

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6186.0227.6EPYC 7713 2P80.6384.6460.9OpenBenchmarking.orgWatts, Fewer Is Betterebizzy 0.3CPU Power Consumption Monitor120240360480600

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragonEPYC 7713EPYC 7713 2P1530456075SE +/- 0.07, N = 5SE +/- 0.62, N = 1562.9868.88MIN: 61.69 / MAX: 65.06MIN: 62.6 / MAX: 74.57

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragonEPYC 7713EPYC 7713 2P0.08370.16740.25110.33480.41850.3720.205

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5169.1229.6EPYC 7713 2P80.4335.2459.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor120240360480600

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: CrownEPYC 7713EPYC 7713 2P20406080100SE +/- 0.16, N = 4SE +/- 0.10, N = 651.8389.60MIN: 50.82 / MAX: 57.89MIN: 83.63 / MAX: 104.61

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: CrownEPYC 7713EPYC 7713 2P0.06620.13240.19860.26480.3310.2940.280

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8176.2229.8EPYC 7713 2P81.1319.9458.4OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor120240360480600

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7713EPYC 7713 2P1530456075SE +/- 0.17, N = 4SE +/- 0.75, N = 1556.8167.17MIN: 55.32 / MAX: 58.61MIN: 59.54 / MAX: 73.59

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7713EPYC 7713 2P0.07340.14680.22020.29360.3670.3260.198

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5174.3230.1EPYC 7713 2P81.7338.5459.5OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor120240360480600

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownEPYC 7713EPYC 7713 2P20406080100SE +/- 0.05, N = 4SE +/- 0.07, N = 647.5682.93MIN: 46.72 / MAX: 49.62MIN: 77.94 / MAX: 92.77

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownEPYC 7713EPYC 7713 2P0.05990.11980.17970.23960.29950.2660.255

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6179.0229.7EPYC 7713 2P81.0325.7458.8OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor120240360480600

etcd

Test: PUT - Connections: 100 - Clients: 100

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 100EPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 356.10, N = 3SE +/- 77.98, N = 378829.5938209.42

etcd

Test: PUT - Connections: 100 - Clients: 100 - Average Latency

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 100 - Average LatencyEPYC 7713EPYC 7713 2P0.5851.171.7552.342.925SE +/- 0.00, N = 3SE +/- 0.00, N = 31.32.6

etcd

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8168.5202.8EPYC 7713 2P81.1304.3350.3OpenBenchmarking.orgWatts, Fewer Is Betteretcd 3.5.4CPU Power Consumption Monitor100200300400500

etcd

Test: PUT - Connections: 100 - Clients: 1000

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 1000EPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 324.17, N = 3SE +/- 80.91, N = 379978.1941860.48

etcd

Test: PUT - Connections: 100 - Clients: 1000 - Average Latency

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 100 - Clients: 1000 - Average LatencyEPYC 7713EPYC 7713 2P612182430SE +/- 0.06, N = 3SE +/- 0.06, N = 312.423.7

etcd

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9158.7192.4EPYC 7713 2P82.0283.8322.1OpenBenchmarking.orgWatts, Fewer Is Betteretcd 3.5.4CPU Power Consumption Monitor80160240320400

etcd

Test: PUT - Connections: 500 - Clients: 100

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 100EPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 259.78, N = 3SE +/- 317.01, N = 381895.9638992.82

etcd

Test: PUT - Connections: 500 - Clients: 100 - Average Latency

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 100 - Average LatencyEPYC 7713EPYC 7713 2P0.5851.171.7552.342.925SE +/- 0.00, N = 3SE +/- 0.03, N = 31.22.6

etcd

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8168.8203.6EPYC 7713 2P82.3302.6347.0OpenBenchmarking.orgWatts, Fewer Is Betteretcd 3.5.4CPU Power Consumption Monitor100200300400500

etcd

Test: PUT - Connections: 500 - Clients: 1000

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 1000EPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 327.59, N = 3SE +/- 202.15, N = 383927.6643696.76

etcd

Test: PUT - Connections: 500 - Clients: 1000 - Average Latency

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: PUT - Connections: 500 - Clients: 1000 - Average LatencyEPYC 7713EPYC 7713 2P510152025SE +/- 0.03, N = 3SE +/- 0.12, N = 311.922.8

etcd

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8164.0205.0EPYC 7713 2P80.9293.2347.5OpenBenchmarking.orgWatts, Fewer Is Betteretcd 3.5.4CPU Power Consumption Monitor100200300400500

etcd

Test: RANGE - Connections: 100 - Clients: 100

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 100EPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 329.90, N = 3SE +/- 394.99, N = 479219.6537230.33

etcd

Test: RANGE - Connections: 100 - Clients: 100 - Average Latency

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 100 - Average LatencyEPYC 7713EPYC 7713 2P0.60751.2151.82252.433.0375SE +/- 0.03, N = 3SE +/- 0.03, N = 41.32.7

etcd

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6168.0202.7EPYC 7713 2P80.9303.2346.5OpenBenchmarking.orgWatts, Fewer Is Betteretcd 3.5.4CPU Power Consumption Monitor100200300400500

etcd

Test: RANGE - Connections: 100 - Clients: 1000

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 1000EPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 303.55, N = 3SE +/- 218.72, N = 380131.8042305.62

etcd

Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 100 - Clients: 1000 - Average LatencyEPYC 7713EPYC 7713 2P612182430SE +/- 0.03, N = 3SE +/- 0.12, N = 312.423.4

etcd

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7158.6191.6EPYC 7713 2P81.6283.7323.1OpenBenchmarking.orgWatts, Fewer Is Betteretcd 3.5.4CPU Power Consumption Monitor80160240320400

etcd

Test: RANGE - Connections: 500 - Clients: 100

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 100EPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 99.62, N = 3SE +/- 133.45, N = 382098.4238506.61

etcd

Test: RANGE - Connections: 500 - Clients: 100 - Average Latency

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 100 - Average LatencyEPYC 7713EPYC 7713 2P0.5851.171.7552.342.925SE +/- 0.00, N = 3SE +/- 0.00, N = 31.22.6

etcd

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7168.7202.9EPYC 7713 2P82.4302.8348.9OpenBenchmarking.orgWatts, Fewer Is Betteretcd 3.5.4CPU Power Consumption Monitor100200300400500

etcd

Test: RANGE - Connections: 500 - Clients: 1000

OpenBenchmarking.orgRequests/sec, More Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 1000EPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 408.33, N = 3SE +/- 121.36, N = 384602.7844040.71

etcd

Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency

OpenBenchmarking.orgms, Fewer Is Betteretcd 3.5.4Test: RANGE - Connections: 500 - Clients: 1000 - Average LatencyEPYC 7713EPYC 7713 2P510152025SE +/- 0.06, N = 3SE +/- 0.07, N = 311.822.6

etcd

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8163.8200.2EPYC 7713 2P81.7292.8341.9OpenBenchmarking.orgWatts, Fewer Is Betteretcd 3.5.4CPU Power Consumption Monitor80160240320400

Etcpak

Benchmark: Single-Threaded - Configuration: ETC2

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 1.0Benchmark: Single-Threaded - Configuration: ETC2EPYC 7713EPYC 7713 2P50100150200250SE +/- 0.14, N = 3SE +/- 0.03, N = 3230.43229.641. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

Etcpak

Benchmark: Single-Threaded - Configuration: ETC2

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 1.0Benchmark: Single-Threaded - Configuration: ETC2EPYC 7713EPYC 7713 2P0.70851.4172.12552.8343.54253.1491.567

Etcpak

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.173.275.8EPYC 7713 2P81.1146.5155.4OpenBenchmarking.orgWatts, Fewer Is BetterEtcpak 1.0CPU Power Consumption Monitor4080120160200

Etcpak

Benchmark: Multi-Threaded - Configuration: ETC2

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 1.0Benchmark: Multi-Threaded - Configuration: ETC2EPYC 7713EPYC 7713 2P14002800420056007000SE +/- 15.08, N = 9SE +/- 36.45, N = 86702.526678.571. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

Etcpak

Benchmark: Multi-Threaded - Configuration: ETC2

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 1.0Benchmark: Multi-Threaded - Configuration: ETC2EPYC 7713EPYC 7713 2P153045607569.3137.95

Etcpak

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.296.7198.7EPYC 7713 2P80.5176.0322.1OpenBenchmarking.orgWatts, Fewer Is BetterEtcpak 1.0CPU Power Consumption Monitor80160240320400

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadEPYC 7713EPYC 7713 2P100M200M300M400M500MSE +/- 482617.87, N = 3SE +/- 753688.43, N = 32420747984801753321. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadEPYC 7713EPYC 7713 2P200K400K600K800K1000K1111169.801104494.04

Facebook RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8217.9230.3EPYC 7713 2P81.0434.7461.2OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.5.3CPU Power Consumption Monitor120240360480600

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingEPYC 7713EPYC 7713 2P3M6M9M12M15MSE +/- 66207.97, N = 3SE +/- 195708.96, N = 39182167145646731. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingEPYC 7713EPYC 7713 2P9K18K27K36K45K43702.2034647.59

Facebook RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9210.1230.3EPYC 7713 2P80.8420.4460.7OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.5.3CPU Power Consumption Monitor120240360480600

Facebook RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomEPYC 7713EPYC 7713 2P800K1600K2400K3200K4000KSE +/- 34091.93, N = 3SE +/- 5555.94, N = 3356184129221671. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomEPYC 7713EPYC 7713 2P4K8K12K16K20K17058.247436.17

Facebook RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.0208.8223.5EPYC 7713 2P80.8393.0445.3OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.5.3CPU Power Consumption Monitor120240360480600

Facebook RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomEPYC 7713EPYC 7713 2P80K160K240K320K400KSE +/- 2028.78, N = 3SE +/- 2065.20, N = 33583363046541. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Facebook RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomEPYC 7713EPYC 7713 2P50010001500200025002226.861020.14

Facebook RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.0160.9201.2EPYC 7713 2P81.9298.6330.6OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.5.3CPU Power Consumption Monitor80160240320400

FLAC Audio Encoding

WAV To FLAC

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACEPYC 7713EPYC 7713 2P48121620SE +/- 0.01, N = 5SE +/- 0.01, N = 518.1318.131. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

FLAC Audio Encoding

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.569.779.2EPYC 7713 2P80.8141.2157.0OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.4CPU Power Consumption Monitor4080120160200

GNU Octave Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 7713 2P80.6142.1211.3OpenBenchmarking.orgWatts, Fewer Is BetterGNU Octave BenchmarkCPU Power Consumption Monitor60120180240300

GNU Octave Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 6.4.0EPYC 7713EPYC 7713 2P246810SE +/- 0.020, N = 6SE +/- 0.021, N = 66.5826.545

GNU Octave Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.273.6119.2OpenBenchmarking.orgWatts, Fewer Is BetterGNU Octave Benchmark 6.4.0CPU Power Consumption Monitor4080120160200

Google Draco

Model: Church Facade

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: Church FacadeEPYC 7713EPYC 7713 2P16003200480064008000SE +/- 13.40, N = 5SE +/- 3.69, N = 5741175251. (CXX) g++ options: -O3

Google Draco

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.263.980.2EPYC 7713 2P80.9129.6156.5OpenBenchmarking.orgWatts, Fewer Is BetterGoogle Draco 1.5.0CPU Power Consumption Monitor4080120160200

Google Draco

Model: Lion

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: LionEPYC 7713EPYC 7713 2P12002400360048006000SE +/- 13.48, N = 6SE +/- 20.00, N = 6561357351. (CXX) g++ options: -O3

Google Draco

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.162.281.0EPYC 7713 2P80.0126.8158.2OpenBenchmarking.orgWatts, Fewer Is BetterGoogle Draco 1.5.0CPU Power Consumption Monitor4080120160200

Google SynthMark

Test: VoiceMark_100

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100EPYC 7713EPYC 7713 2P160320480640800SE +/- 1.04, N = 3SE +/- 0.12, N = 3747.31748.061. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

Google SynthMark

Test: VoiceMark_100

OpenBenchmarking.orgVoices Per Watt, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100EPYC 7713EPYC 7713 2P369121510.8175.359

Google SynthMark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.669.174.2EPYC 7713 2P79.9139.6148.3OpenBenchmarking.orgWatts, Fewer Is BetterGoogle SynthMark 20201109CPU Power Consumption Monitor4080120160200

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeEPYC 7713EPYC 7713 2P1632486480SE +/- 0.19, N = 3SE +/- 0.25, N = 371.6643.861. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

GPAW

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.0212.9229.5EPYC 7713 2P81.6422.5460.4OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 22.1CPU Power Consumption Monitor120240360480600

Graph500

Scale: 26

OpenBenchmarking.orgbfs median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713EPYC 7713 2P140M280M420M560M700M6226810006425160001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

Graph500

Scale: 26

OpenBenchmarking.orgbfs max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713EPYC 7713 2P140M280M420M560M700M6422780006594670001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

Graph500

Scale: 26

OpenBenchmarking.orgsssp median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713EPYC 7713 2P60M120M180M240M300M2544770003023380001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

Graph500

Scale: 26

OpenBenchmarking.orgsssp max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713EPYC 7713 2P80M160M240M320M400M3235930003903770001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

Graph500

Scale: 26

OpenBenchmarking.orgsssp max_TEPS Per Watt, More Is BetterGraph500 3.0Scale: 26EPYC 7713EPYC 7713 2P300K600K900K1200K1500K1477511.39880495.41

Graph500

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7219.0227.4EPYC 7713 2P80.8443.4460.3OpenBenchmarking.orgWatts, Fewer Is BetterGraph500 3.0CPU Power Consumption Monitor120240360480600

GraphicsMagick

Operation: HWB Color Space

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceEPYC 7713EPYC 7713 2P30060090012001500SE +/- 2.96, N = 3SE +/- 4.67, N = 3130310931. (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.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceEPYC 7713EPYC 7713 2P369121510.8264.281

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4120.4127.5EPYC 7713 2P81.1255.3273.4OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor70140210280350

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedEPYC 7713EPYC 7713 2P30060090012001500SE +/- 1.15, N = 3SE +/- 9.60, N = 394113441. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedEPYC 7713EPYC 7713 2P1.01862.03723.05584.07445.0934.5273.370

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.3207.9221.1EPYC 7713 2P81.1398.8429.2OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor110220330440550

GraphicsMagick

Operation: Rotate

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateEPYC 7713EPYC 7713 2P160320480640800SE +/- 1.00, N = 3SE +/- 7.54, N = 37467301. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Rotate

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: RotateEPYC 7713EPYC 7713 2P369121510.0904.934

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.273.979.8EPYC 7713 2P42.7148.0157.7OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor4080120160200

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenEPYC 7713EPYC 7713 2P2004006008001000SE +/- 2.52, N = 3SE +/- 1.45, N = 35117791. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: SharpenEPYC 7713EPYC 7713 2P0.55461.10921.66382.21842.7732.4651.945

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.3207.3222.7EPYC 7713 2P80.9400.5428.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor110220330440550

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareEPYC 7713EPYC 7713 2P246810SE +/- 0.010, N = 3SE +/- 0.024, N = 35.1308.2151. (CXX) g++ options: -O3

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareEPYC 7713EPYC 7713 2P0.00560.01120.01680.02240.0280.0250.020

GROMACS

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8206.4230.3EPYC 7713 2P81.1402.3461.3OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2022.1CPU Power Consumption Monitor120240360480600

Helsing

Digit Range: 14 digit

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 7713EPYC 7713 2P306090120150SE +/- 0.16, N = 3SE +/- 0.11, N = 3121.0062.131. (CC) gcc options: -O2 -pthread

Helsing

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.1222.6233.0EPYC 7713 2P79.7434.6461.0OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor120240360480600

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7713EPYC 7713 2P918273645SE +/- 0.01, N = 3SE +/- 0.11, N = 319.1137.101. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7713EPYC 7713 2P0.02070.04140.06210.08280.10350.0920.086

High Performance Conjugate Gradient

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9208.1224.5EPYC 7713 2P80.3433.3453.1OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor120240360480600

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160EPYC 7713EPYC 7713 2P0.50851.0171.52552.0342.5425SE +/- 0.00, N = 3SE +/- 0.00, N = 41.402.26

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160EPYC 7713EPYC 7713 2P0.00230.00460.00690.00920.01150.0100.009

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6144.1228.3EPYC 7713 2P81.1265.0458.5OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor120240360480600

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160EPYC 7713EPYC 7713 2P0.50851.0171.52552.0342.5425SE +/- 0.00, N = 3SE +/- 0.00, N = 41.412.26

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160EPYC 7713EPYC 7713 2P0.00230.00460.00690.00920.01150.0100.009

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4143.7228.4EPYC 7713 2P80.8264.4458.1OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor120240360480600

JPEG XL Decoding libjxl

CPU Threads: 1

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.6.1CPU Threads: 1EPYC 7713EPYC 7713 2P1530456075SE +/- 0.16, N = 3SE +/- 0.11, N = 367.6266.93

JPEG XL Decoding libjxl

CPU Threads: 1

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding libjxl 0.6.1CPU Threads: 1EPYC 7713EPYC 7713 2P0.20590.41180.61770.82361.02950.9150.457

JPEG XL Decoding libjxl

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.173.978.2EPYC 7713 2P80.7146.6160.2OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL Decoding libjxl 0.6.1CPU Power Consumption Monitor50100150200250

JPEG XL Decoding libjxl

CPU Threads: All

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.6.1CPU Threads: AllEPYC 7713EPYC 7713 2P160320480640800SE +/- 0.45, N = 4SE +/- 3.90, N = 3731.88569.97

JPEG XL Decoding libjxl

CPU Threads: All

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding libjxl 0.6.1CPU Threads: AllEPYC 7713EPYC 7713 2P2468107.3252.802

JPEG XL Decoding libjxl

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.199.9169.3EPYC 7713 2P80.2203.4320.5OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL Decoding libjxl 0.6.1CPU Power Consumption Monitor80160240320400

JPEG XL libjxl

Input: JPEG - Encode Speed: 7

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: JPEG - Encode Speed: 7EPYC 7713EPYC 7713 2P20406080100SE +/- 0.16, N = 5SE +/- 0.79, N = 10104.58100.771. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie

JPEG XL libjxl

Input: JPEG - Encode Speed: 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL libjxl 0.6.1Input: JPEG - Encode Speed: 7EPYC 7713EPYC 7713 2P0.28780.57560.86341.15121.4391.2790.609

JPEG XL libjxl

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.381.8105.1EPYC 7713 2P80.4165.6219.5OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Power Consumption Monitor60120180240300

JPEG XL libjxl

Input: JPEG - Encode Speed: 8

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: JPEG - Encode Speed: 8EPYC 7713EPYC 7713 2P714212835SE +/- 0.17, N = 5SE +/- 0.04, N = 529.2428.921. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie

JPEG XL libjxl

Input: JPEG - Encode Speed: 8

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL libjxl 0.6.1Input: JPEG - Encode Speed: 8EPYC 7713EPYC 7713 2P0.09320.18640.27960.37280.4660.4140.201

JPEG XL libjxl

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.370.687.2EPYC 7713 2P80.5144.2180.4OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Power Consumption Monitor50100150200250

JPEG XL libjxl

Input: PNG - Encode Speed: 7

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 7EPYC 7713EPYC 7713 2P3691215SE +/- 0.02, N = 3SE +/- 0.04, N = 311.1110.741. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie

JPEG XL libjxl

Input: PNG - Encode Speed: 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 7EPYC 7713EPYC 7713 2P0.02840.05680.08520.11360.1420.1260.062

JPEG XL libjxl

CPU Power Consumption Monitor

MinAvgMaxEPYC 771318.787.9109.3EPYC 7713 2P80.0173.1209.8OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Power Consumption Monitor60120180240300

JPEG XL libjxl

Input: PNG - Encode Speed: 8

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 8EPYC 7713EPYC 7713 2P0.22950.4590.68850.9181.1475SE +/- 0.00, N = 3SE +/- 0.00, N = 31.021.001. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie

JPEG XL libjxl

Input: PNG - Encode Speed: 8

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 8EPYC 7713EPYC 7713 2P0.00270.00540.00810.01080.01350.0120.006

JPEG XL libjxl

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.282.599.6EPYC 7713 2P80.9162.3195.2OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Power Consumption Monitor50100150200250

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4EPYC 7713EPYC 7713 2P60M120M180M240M300MSE +/- 2567603.42, N = 15SE +/- 886909.06, N = 32707225271439502671. (CXX) g++ options: -O3 -fopenmp

Kripke

OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.4EPYC 7713EPYC 7713 2P400K800K1200K1600K2000K1791600.71464047.76

Kripke

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9151.1213.0EPYC 7713 2P80.6310.2398.8OpenBenchmarking.orgWatts, Fewer Is BetterKripke 1.2.4CPU Power Consumption Monitor110220330440550

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7713EPYC 7713 2P1224364860SE +/- 0.03, N = 4SE +/- 0.17, N = 536.7154.241. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7713EPYC 7713 2P0.05130.10260.15390.20520.25650.2280.180

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5161.3199.9EPYC 7713 2P81.2301.2419.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor110220330440550

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7713EPYC 7713 2P1326395265SE +/- 0.82, N = 15SE +/- 0.59, N = 656.5358.521. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7713EPYC 7713 2P0.08570.17140.25710.34280.42850.3810.229

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7148.5207.0EPYC 7713 2P80.6256.0358.6OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor100200300400500

LAME MP3 Encoding

WAV To MP3

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3EPYC 7713EPYC 7713 2P246810SE +/- 0.005, N = 6SE +/- 0.006, N = 67.4727.4901. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

LAME MP3 Encoding

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.262.475.8EPYC 7713 2P80.2128.1152.7OpenBenchmarking.orgWatts, Fewer Is BetterLAME MP3 Encoding 3.100CPU Power Consumption Monitor4080120160200

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASEPYC 7713EPYC 7713 2P10002000300040005000SE +/- 30.99, N = 3SE +/- 49.21, N = 4389344491. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: BLASEPYC 7713EPYC 7713 2P51015202519.0713.53

LeelaChessZero

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6204.2230.7EPYC 7713 2P81.0328.9460.6OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor120240360480600

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenEPYC 7713EPYC 7713 2P9001800270036004500SE +/- 38.17, N = 3SE +/- 42.95, N = 4359840931. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: EigenEPYC 7713EPYC 7713 2P4812162017.3412.41

LeelaChessZero

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9207.5230.7EPYC 7713 2P81.1329.8460.4OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor120240360480600

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 2EPYC 7713EPYC 7713 2P918273645SE +/- 0.21, N = 3SE +/- 0.21, N = 340.7741.211. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.1115.8230.4EPYC 7713 2P80.1194.2358.5OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.10CPU Power Consumption Monitor100200300400500

libavif avifenc

Encoder Speed: 6

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 6EPYC 7713EPYC 7713 2P0.89031.78062.67093.56124.4515SE +/- 0.024, N = 8SE +/- 0.022, N = 83.8463.9571. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.3100.8230.3EPYC 7713 2P79.7163.7311.9OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.10CPU Power Consumption Monitor80160240320400

libavif avifenc

Encoder Speed: 6, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 6, LosslessEPYC 7713EPYC 7713 2P246810SE +/- 0.022, N = 6SE +/- 0.018, N = 67.1847.3341. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.395.9230.3EPYC 7713 2P80.2162.2308.4OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.10CPU Power Consumption Monitor80160240320400

libavif avifenc

Encoder Speed: 10, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 10, LosslessEPYC 7713EPYC 7713 2P1.25062.50123.75185.00246.253SE +/- 0.011, N = 7SE +/- 0.021, N = 75.3985.5581. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.272.2150.5EPYC 7713 2P79.6137.9232.7OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.10CPU Power Consumption Monitor60120180240300

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7713EPYC 7713 2P918273645SE +/- 0.18, N = 3SE +/- 0.12, N = 339.4037.961. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7713EPYC 7713 2P0.0950.190.2850.380.4750.4220.189

LibRaw

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.593.3109.3EPYC 7713 2P80.6200.9225.0OpenBenchmarking.orgWatts, Fewer Is BetterLibRaw 0.20CPU Power Consumption Monitor60120180240300

Liquid-DSP

Threads: 32 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57EPYC 7713EPYC 7713 2P300M600M900M1200M1500MSE +/- 1217009.08, N = 3SE +/- 6470531.49, N = 3160556666716142666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 32 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57EPYC 7713EPYC 7713 2P2M4M6M8M10M8924738.576183433.64

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.3179.9211.6EPYC 7713 2P80.3261.1314.8OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor80160240320400

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57EPYC 7713EPYC 7713 2P700M1400M2100M2800M3500MSE +/- 5184056.76, N = 3SE +/- 2355372.11, N = 3257766666731915333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57EPYC 7713EPYC 7713 2P3M6M9M12M15M13069058.458517166.22

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9197.2230.3EPYC 7713 2P79.7374.7438.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor110220330440550

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57EPYC 7713EPYC 7713 2P1100M2200M3300M4400M5500MSE +/- 360555.13, N = 3SE +/- 3142362.88, N = 3270690000050850666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57EPYC 7713EPYC 7713 2P3M6M9M12M15M13782846.1212899838.02

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7196.4230.3EPYC 7713 2P79.4394.2460.6OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor120240360480600

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 7713EPYC 7713 2P1100M2200M3300M4400M5500MSE +/- 11518439.32, N = 3SE +/- 1628905.56, N = 3276716666753509000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 7713EPYC 7713 2P3M6M9M12M15M14002290.2913522276.42

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8197.6230.3EPYC 7713 2P80.5395.7460.6OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor120240360480600

LuaRadio

Test: Five Back to Back FIR Filters

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersEPYC 7713EPYC 7713 2P30060090012001500SE +/- 13.28, N = 3SE +/- 4.33, N = 31189.01211.6

LuaRadio

Test: FM Deemphasis Filter

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterEPYC 7713EPYC 7713 2P80160240320400SE +/- 0.12, N = 3SE +/- 0.33, N = 3365.4364.3

LuaRadio

Test: Hilbert Transform

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformEPYC 7713EPYC 7713 2P20406080100SE +/- 0.12, N = 3SE +/- 0.06, N = 398.698.4

LuaRadio

Test: Complex Phase

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex PhaseEPYC 7713EPYC 7713 2P140280420560700SE +/- 0.40, N = 3SE +/- 0.67, N = 3628.9623.8

LuaRadio

Test: Complex Phase

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterLuaRadio 0.9.1Test: Complex PhaseEPYC 7713EPYC 7713 2P2468107.5583.937

LuaRadio

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.483.2114.5EPYC 7713 2P74.5158.5199.2OpenBenchmarking.orgWatts, Fewer Is BetterLuaRadio 0.9.1CPU Power Consumption Monitor50100150200250

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 7713EPYC 7713 2P8K16K24K32K40KSE +/- 64.60, N = 3SE +/- 104.62, N = 319305.6636456.231. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3EPYC 7713EPYC 7713 2P306090120150113.62102.40

LULESH

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6169.9219.1EPYC 7713 2P81.0356.0452.9OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor120240360480600

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 7713EPYC 7713 2P3691215SE +/- 0.04, N = 3SE +/- 0.06, N = 38.3312.23MIN: 8.11 / MAX: 9.42MIN: 11.53 / MAX: 15.5

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 7713EPYC 7713 2P0.00880.01760.02640.03520.0440.0390.029

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1214.7231.5EPYC 7713 2P79.9428.7460.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor120240360480600

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUEPYC 7713EPYC 7713 2P510152025SE +/- 0.54, N = 15SE +/- 0.15, N = 1521.1316.99MIN: 17.03 / MAX: 23.53MIN: 15.23 / MAX: 18.28

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUEPYC 7713EPYC 7713 2P0.03060.06120.09180.12240.1530.1360.058

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9155.6230.9EPYC 7713 2P80.7293.7392.4OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor110220330440550

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 7713EPYC 7713 2P246810SE +/- 0.06, N = 3SE +/- 0.12, N = 156.847.63MIN: 2.61 / MAX: 8.19MIN: 2.51 / MAX: 10.1

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 7713EPYC 7713 2P0.00740.01480.02220.02960.0370.0330.019

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6205.8230.1EPYC 7713 2P80.9403.7460.2OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor120240360480600

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 7713EPYC 7713 2P510152025SE +/- 0.01, N = 3SE +/- 0.15, N = 912.4818.60MIN: 10.85 / MAX: 14.14MIN: 15.92 / MAX: 24.08

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 7713EPYC 7713 2P0.01330.02660.03990.05320.06650.0590.044

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1211.4230.3EPYC 7713 2P80.0419.6464.6OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor120240360480600

LuxCoreRender

Scene: Danish Mood - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUEPYC 7713EPYC 7713 2P246810SE +/- 0.07, N = 3SE +/- 0.10, N = 156.207.50MIN: 2.45 / MAX: 7.36MIN: 2.67 / MAX: 10.06

LuxCoreRender

Scene: Danish Mood - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUEPYC 7713EPYC 7713 2P0.00680.01360.02040.02720.0340.0300.019

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1205.6227.0EPYC 7713 2P80.8403.9458.8OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor120240360480600

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7713EPYC 7713 2P1224364860SE +/- 0.38, N = 15SE +/- 0.40, N = 355.4354.181. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7713EPYC 7713 2P3K6K9K12K15KSE +/- 23.01, N = 15SE +/- 16.62, N = 314123.310743.21. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7713EPYC 7713 2P4080120160200178.0166.58

LZ4 Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.479.3105.1EPYC 7713 2P80.7161.4219.0OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor60120180240300

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7713EPYC 7713 2P1224364860SE +/- 0.66, N = 4SE +/- 0.20, N = 353.8952.511. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7713EPYC 7713 2P3K6K9K12K15KSE +/- 33.09, N = 4SE +/- 34.05, N = 314156.710851.41. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7713EPYC 7713 2P4080120160200178.9867.29

LZ4 Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.379.1104.8EPYC 7713 2P80.7161.3219.2OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor60120180240300

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 7713EPYC 7713 2P3691215SE +/- 0.015, N = 4SE +/- 0.027, N = 612.2386.3761. (CXX) g++ options: -fopenmp -O2 -march=native

m-queens

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.2178.3230.1EPYC 7713 2P80.1309.7460.6OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor120240360480600

MariaDB

Clients: 2048

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 2048EPYC 7713EPYC 7713 2P130260390520650SE +/- 4.69, N = 3SE +/- 0.88, N = 36151501. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

MariaDB

Clients: 2048

OpenBenchmarking.orgQueries Per Second Per Watt, More Is BetterMariaDB 10.8.2Clients: 2048EPYC 7713EPYC 7713 2P1.03212.06423.09634.12845.16054.5870.498

MariaDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.2134.1189.6EPYC 7713 2P80.8300.9371.3OpenBenchmarking.orgWatts, Fewer Is BetterMariaDB 10.8.2CPU Power Consumption Monitor100200300400500

MariaDB

Clients: 4096

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 4096EPYC 7713EPYC 7713 2P50100150200250SE +/- 0.15, N = 3SE +/- 0.87, N = 32471401. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

MariaDB

Clients: 4096

OpenBenchmarking.orgQueries Per Second Per Watt, More Is BetterMariaDB 10.8.2Clients: 4096EPYC 7713EPYC 7713 2P0.37510.75021.12531.50041.87551.6670.464

MariaDB

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterMariaDB 10.8.2CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P70140210280350Min: 37.46 / Avg: 148.13 / Max: 220.4Min: 81.11 / Avg: 301.96 / Max: 383.63

Meta Performance Per Watts

Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsEPYC 771360012001800240030002802.51

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7713EPYC 7713 2P5K10K15K20K25KSE +/- 3.33, N = 4SE +/- 292.61, N = 1521875.124664.81. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7713EPYC 7713 2P306090120150149.7286.98

miniFE

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6146.1213.1EPYC 7713 2P81.1283.6438.7OpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2CPU Power Consumption Monitor120240360480600

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC 7713EPYC 7713 2P510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 321.3321.45

Mlpack Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.671.798.0EPYC 7713 2P77.2142.1178.2OpenBenchmarking.orgWatts, Fewer Is BetterMlpack BenchmarkCPU Power Consumption Monitor50100150200250

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaEPYC 7713EPYC 7713 2P714212835SE +/- 0.09, N = 3SE +/- 0.28, N = 1529.1931.84

Mlpack Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.2129.3225.9EPYC 7713 2P80.3243.7428.2OpenBenchmarking.orgWatts, Fewer Is BetterMlpack BenchmarkCPU Power Consumption Monitor110220330440550

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaEPYC 7713EPYC 7713 2P1122334455SE +/- 0.05, N = 3SE +/- 0.13, N = 345.2746.40

Mlpack Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6189.9220.0EPYC 7713 2P80.2334.4374.1OpenBenchmarking.orgWatts, Fewer Is BetterMlpack BenchmarkCPU Power Consumption Monitor100200300400500

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7713EPYC 7713 2P0.10230.20460.30690.40920.5115SE +/- 0.00038, N = 3SE +/- 0.00056, N = 30.454570.26712

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9200.4230.3EPYC 7713 2P80.5408.2461.0OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7713EPYC 7713 2P50K100K150K200K250KSE +/- 152.57, N = 3SE +/- 391.85, N = 4127998.61235808.541. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7713EPYC 7713 2P140280420560700669.13670.57

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1191.3229.4EPYC 7713 2P79.7351.7458.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7713EPYC 7713 2P2K4K6K8K10KSE +/- 45.43, N = 15SE +/- 61.53, N = 154406.028338.271. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7713EPYC 7713 2P112233445544.1748.80

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.599.7230.3EPYC 7713 2P80.3170.9461.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7713EPYC 7713 2P2K4K6K8K10KSE +/- 87.49, N = 15SE +/- 151.57, N = 154668.969109.241. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7713EPYC 7713 2P61218243023.1024.38

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5202.1230.6EPYC 7713 2P80.8373.7460.6OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 292.35, N = 6SE +/- 650.27, N = 860659.25116679.261. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7713EPYC 7713 2P100200300400500412.62457.47

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9147.0225.1EPYC 7713 2P80.0255.1456.5OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7713EPYC 7713 2P60K120K180K240K300KSE +/- 264.51, N = 4SE +/- 2852.04, N = 5135917.43259899.491. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7713EPYC 7713 2P2004006008001000767.46816.26

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9177.1226.2EPYC 7713 2P80.7318.4459.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: SP.B

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7713EPYC 7713 2P30K60K90K120K150KSE +/- 824.60, N = 15SE +/- 1089.48, N = 1589950.76142675.551. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: SP.B

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7713EPYC 7713 2P150300450600750698.95628.09

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7128.7229.8EPYC 7713 2P80.4227.2460.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 33.24, N = 3SE +/- 212.54, N = 451921.71116527.631. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 7713EPYC 7713 2P70140210280350271.37331.99

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6191.3226.8EPYC 7713 2P80.8351.0458.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7713EPYC 7713 2P10002000300040005000SE +/- 13.59, N = 4SE +/- 43.17, N = 152648.964690.061. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7713EPYC 7713 2P4812162016.1715.94

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7163.8222.4EPYC 7713 2P80.6294.3451.7OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 290.32, N = 9SE +/- 291.87, N = 1057329.70100740.891. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7713EPYC 7713 2P110220330440550503.96511.45

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6113.8220.8EPYC 7713 2P80.9197.0457.5OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7713EPYC 7713 2P10K20K30K40K50KSE +/- 119.51, N = 6SE +/- 340.17, N = 1124085.7345587.101. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7713EPYC 7713 2P4080120160200165.19181.81

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5145.8229.2EPYC 7713 2P81.4250.7460.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

Natron

Input: Spaceship

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipEPYC 7713EPYC 7713 2P246810SE +/- 0.03, N = 3SE +/- 0.02, N = 56.01.9

Natron

Input: Spaceship

OpenBenchmarking.orgFPS Per Watt, More Is BetterNatron 2.4.3Input: SpaceshipEPYC 7713EPYC 7713 2P0.00920.01840.02760.03680.0460.0410.007

Natron

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9145.3220.7EPYC 7713 2P79.9285.4381.5OpenBenchmarking.orgWatts, Fewer Is BetterNatron 2.4.3CPU Power Consumption Monitor100200300400500

nginx

Concurrent Requests: 500

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 500EPYC 7713EPYC 7713 2P40K80K120K160K200KSE +/- 283.75, N = 3SE +/- 154.59, N = 3173899.1990312.001. (CC) gcc options: -lcrypt -lz -O3 -march=native

nginx

Concurrent Requests: 500

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.21.1Concurrent Requests: 500EPYC 7713EPYC 7713 2P20040060080010001159.00286.39

nginx

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6150.0162.3EPYC 7713 2P81.2315.3336.3OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor80160240320400

nginx

Concurrent Requests: 1000

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 1000EPYC 7713EPYC 7713 2P40K80K120K160K200KSE +/- 625.94, N = 3SE +/- 98.75, N = 3174524.7994018.121. (CC) gcc options: -lcrypt -lz -O3 -march=native

nginx

Concurrent Requests: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.21.1Concurrent Requests: 1000EPYC 7713EPYC 7713 2P300600900120015001168.38302.21

nginx

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4149.4161.0EPYC 7713 2P80.9311.1338.1OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor80160240320400

Ngspice

Circuit: C2670

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670EPYC 7713EPYC 7713 2P306090120150SE +/- 0.70, N = 3SE +/- 0.58, N = 3136.02137.361. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

Ngspice

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.380.990.0EPYC 7713 2P81.2162.3170.8OpenBenchmarking.orgWatts, Fewer Is BetterNgspice 34CPU Power Consumption Monitor50100150200250

Ngspice

Circuit: C7552

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552EPYC 7713EPYC 7713 2P20406080100SE +/- 0.58, N = 3SE +/- 0.54, N = 3103.39105.951. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

Ngspice

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.578.591.8EPYC 7713 2P80.7153.5168.7OpenBenchmarking.orgWatts, Fewer Is BetterNgspice 34CPU Power Consumption Monitor50100150200250

Node.js Express HTTP Load Test

OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestEPYC 7713EPYC 7713 2P14002800420056007000SE +/- 32.02, N = 4SE +/- 59.99, N = 463676198

Node.js Express HTTP Load Test

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterNode.js Express HTTP Load TestEPYC 7713EPYC 7713 2P2040608010084.0641.72

Node.js Express HTTP Load Test

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.575.789.7EPYC 7713 2P81.1148.6183.3OpenBenchmarking.orgWatts, Fewer Is BetterNode.js Express HTTP Load TestCPU Power Consumption Monitor50100150200250

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkEPYC 7713EPYC 7713 2P3691215SE +/- 0.06, N = 3SE +/- 0.12, N = 310.6010.50

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s Per Watt, More Is BetterNode.js V8 Web Tooling BenchmarkEPYC 7713EPYC 7713 2P0.03060.06120.09180.12240.1530.1360.069

Node.js V8 Web Tooling Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.377.894.4EPYC 7713 2P81.1152.3167.8OpenBenchmarking.orgWatts, Fewer Is BetterNode.js V8 Web Tooling BenchmarkCPU Power Consumption Monitor50100150200250

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7713EPYC 7713 2P100200300400500SE +/- 0.32, N = 3SE +/- 0.78, N = 3464.56469.38

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 7713EPYC 7713 2P2468106.1133.119

Numpy Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.176.097.5EPYC 7713 2P80.3150.5172.6OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor50100150200250

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 7713EPYC 7713 2P50010001500200025002491.12183.61. (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

NWChem

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P80160240320400Min: 37.45 / Avg: 228.16 / Max: 230.32Min: 81.09 / Avg: 458.34 / Max: 461.01

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7713EPYC 7713 2P0.21030.42060.63090.84121.0515SE +/- 0.000519, N = 7SE +/- 0.003112, N = 70.9347060.640833MIN: 0.87MIN: 0.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8149.1230.3EPYC 7713 2P80.5273.0439.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor120240360480600

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUEPYC 7713EPYC 7713 2P714212835SE +/- 0.24, N = 12SE +/- 0.34, N = 412.5630.01MIN: 9.16MIN: 23.661. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6112.3150.9EPYC 7713 2P80.7253.4318.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor80160240320400

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7713EPYC 7713 2P16003200480064008000SE +/- 8.18, N = 3SE +/- 91.23, N = 32943.087531.12MIN: 2859.58MIN: 7148.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5168.7226.2EPYC 7713 2P80.3314.7424.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor110220330440550

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7713EPYC 7713 2P16003200480064008000SE +/- 31.08, N = 3SE +/- 55.80, N = 32950.437435.34MIN: 2820.96MIN: 7037.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9168.5224.6EPYC 7713 2P82.0315.9436.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor110220330440550

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7713EPYC 7713 2P16003200480064008000SE +/- 21.84, N = 3SE +/- 85.87, N = 42984.477473.91MIN: 2892.79MIN: 6964.911. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8168.8226.3EPYC 7713 2P80.9315.7435.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor110220330440550

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 7713EPYC 7713 2P6001200180024003000SE +/- 12.45, N = 3SE +/- 23.56, N = 31266.202840.33MIN: 1204.11MIN: 2353.161. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7177.4223.4EPYC 7713 2P81.0327.5425.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor110220330440550

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7713EPYC 7713 2P6001200180024003000SE +/- 2.41, N = 3SE +/- 32.96, N = 151253.502754.45MIN: 1197.7MIN: 2158.821. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7177.8222.4EPYC 7713 2P80.5327.1426.0OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor110220330440550

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7713EPYC 7713 2P6001200180024003000SE +/- 16.05, N = 15SE +/- 49.56, N = 151229.562840.05MIN: 1044.76MIN: 2016.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7179.1224.2EPYC 7713 2P80.7328.4424.1OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor110220330440550

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P90180270360450SE +/- 1.15, N = 3SE +/- 5.46, N = 124173301. (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.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P0.47050.9411.41151.8822.35252.0910.813

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.2199.5207.6EPYC 7713 2P81.1405.9431.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.11CPU Power Consumption Monitor110220330440550

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P50100150200250SE +/- 3.69, N = 12SE +/- 2.05, N = 31852371. (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.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P0.20480.40960.61440.81921.0240.910.55

ONNX Runtime

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.11CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P80160240320400Min: 37.78 / Avg: 203.21 / Max: 225.65Min: 81.6 / Avg: 430.98 / Max: 454.19

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P14002800420056007000SE +/- 6.02, N = 3SE +/- 45.38, N = 12663145691. (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.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P112233445547.9119.08

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6138.4144.1EPYC 7713 2P81.0239.5266.4OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.11CPU Power Consumption Monitor70140210280350

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P150300450600750SE +/- 0.50, N = 3SE +/- 2.52, N = 37136681. (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.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P0.7721.5442.3163.0883.863.4311.776

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4207.8217.7EPYC 7713 2P80.1376.1410.7OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.11CPU Power Consumption Monitor110220330440550

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P2K4K6K8K10KSE +/- 26.19, N = 3SE +/- 48.25, N = 3936878781. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P163248648069.9032.83

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6134.0138.2EPYC 7713 2P81.2240.0259.0OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.11CPU Power Consumption Monitor70140210280350

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P30060090012001500SE +/- 5.25, N = 3SE +/- 14.15, N = 1215388771. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P2468107.3812.228

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4208.4220.6EPYC 7713 2P81.3393.7432.4OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.11CPU Power Consumption Monitor110220330440550

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 7713EPYC 7713 2P306090120150139.89124.961. (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 - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 7713EPYC 7713 2P140280420560700633.93281.701. (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

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.2217.7230.3EPYC 7713 2P81.3443.3460.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 9CPU Power Consumption Monitor120240360480600

OpenFOAM

Input: drivaerFastback, Large Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Large Mesh Size - Mesh TimeEPYC 7713EPYC 7713 2P2004006008001000888.82776.381. (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 - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Large Mesh Size - Execution TimeEPYC 7713EPYC 7713 2P3K6K9K12K15K14972.977052.621. (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

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 9CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P80160240320400Min: 38.09 / Avg: 213.33 / Max: 230.31Min: 80.96 / Avg: 441.98 / Max: 460.58

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 7713EPYC 7713 2P5K10K15K20K25KSE +/- 1.58, N = 3SE +/- 3.07, N = 312613.125009.61. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 7713EPYC 7713 2P400K800K1200K1600K2000KSE +/- 47.96, N = 3SE +/- 338.78, N = 3825904.11638050.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 7713EPYC 7713 2P80016002400320040003819.783763.26

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.0216.2230.3EPYC 7713 2P79.5435.3461.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor120240360480600

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA256EPYC 7713EPYC 7713 2P30000M60000M90000M120000M150000MSE +/- 67558357.93, N = 3SE +/- 153008615.66, N = 3681018098531346291565271. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.0Algorithm: SHA256EPYC 7713EPYC 7713 2P60M120M180M240M300M303100481.37298000025.39

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.2224.7230.7EPYC 7713 2P80.6451.8460.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor120240360480600

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUEPYC 7713EPYC 7713 2P48121620SE +/- 0.01, N = 3SE +/- 0.18, N = 58.9717.591. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUEPYC 7713EPYC 7713 2P8001600240032004000SE +/- 2.50, N = 3SE +/- 39.69, N = 53555.783597.47MIN: 3306.65 / MAX: 3702.18MIN: 1881.18 / MAX: 6268.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1202.8230.8EPYC 7713 2P80.6405.9462.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 7713EPYC 7713 2P1020304050SE +/- 0.02, N = 3SE +/- 0.04, N = 324.5945.841. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 7713EPYC 7713 2P30060090012001500SE +/- 1.10, N = 3SE +/- 2.23, N = 31293.511388.41MIN: 1118.15 / MAX: 1339.17MIN: 1233.32 / MAX: 1772.31. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8212.9230.3EPYC 7713 2P80.7412.9460.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7713EPYC 7713 2P8K16K24K32K40KSE +/- 11.83, N = 3SE +/- 533.11, N = 330742.1737561.071. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7713EPYC 7713 2P0.73581.47162.20742.94323.679SE +/- 0.00, N = 3SE +/- 0.06, N = 32.033.27MIN: 0.97 / MAX: 18.02MIN: 0.88 / MAX: 81.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.3215.1230.2EPYC 7713 2P80.5411.0459.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 7713EPYC 7713 2P12K24K36K48K60KSE +/- 78.11, N = 3SE +/- 378.72, N = 349691.0357763.891. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 7713EPYC 7713 2P0.47480.94961.42441.89922.374SE +/- 0.00, N = 3SE +/- 0.01, N = 31.062.11MIN: 0.55 / MAX: 15.24MIN: 0.53 / MAX: 66.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1214.6229.9EPYC 7713 2P80.8422.9454.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUEPYC 7713EPYC 7713 2P3691215SE +/- 0.02, N = 3SE +/- 0.05, N = 36.8213.101. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUEPYC 7713EPYC 7713 2P10002000300040005000SE +/- 8.17, N = 3SE +/- 16.64, N = 34601.784777.15MIN: 2414.7 / MAX: 5219.01MIN: 2420.5 / MAX: 6044.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1210.0230.3EPYC 7713 2P80.4408.8461.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUEPYC 7713EPYC 7713 2P3691215SE +/- 0.01, N = 3SE +/- 0.03, N = 36.8113.091. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUEPYC 7713EPYC 7713 2P10002000300040005000SE +/- 5.38, N = 3SE +/- 9.45, N = 34600.944774.37MIN: 2381.08 / MAX: 5204.91MIN: 2371.17 / MAX: 6026.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1212.3230.5EPYC 7713 2P81.0412.0461.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 7713EPYC 7713 2P10002000300040005000SE +/- 1.64, N = 3SE +/- 0.96, N = 32462.404559.421. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 7713EPYC 7713 2P714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 325.9728.05MIN: 12.2 / MAX: 39.52MIN: 10.65 / MAX: 66.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.0216.7230.3EPYC 7713 2P80.0432.5460.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUEPYC 7713EPYC 7713 2P400800120016002000SE +/- 0.14, N = 3SE +/- 2.71, N = 31030.761905.511. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUEPYC 7713EPYC 7713 2P816243240SE +/- 0.01, N = 3SE +/- 0.05, N = 331.0233.55MIN: 15.59 / MAX: 49.44MIN: 14.43 / MAX: 183.111. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.2216.4230.3EPYC 7713 2P80.3430.2460.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 7713EPYC 7713 2P7001400210028003500SE +/- 1.36, N = 3SE +/- 2.08, N = 31689.183136.141. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 7713EPYC 7713 2P510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 318.9320.38MIN: 11.41 / MAX: 69.86MIN: 8.69 / MAX: 87.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1217.2230.3EPYC 7713 2P80.8430.5460.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUEPYC 7713EPYC 7713 2P400800120016002000SE +/- 3.92, N = 3SE +/- 12.59, N = 3935.581788.341. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUEPYC 7713EPYC 7713 2P816243240SE +/- 0.14, N = 3SE +/- 0.25, N = 334.1735.75MIN: 17.07 / MAX: 68.69MIN: 18.65 / MAX: 151.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1215.9230.3EPYC 7713 2P81.0431.0461.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 7713EPYC 7713 2P6001200180024003000SE +/- 0.60, N = 3SE +/- 3.95, N = 31535.082884.441. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 7713EPYC 7713 2P510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 320.8222.16MIN: 12.46 / MAX: 44.77MIN: 11.48 / MAX: 97.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1214.6230.3EPYC 7713 2P80.5419.4460.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 7713EPYC 7713 2P50100150200250SE +/- 0.19, N = 3SE +/- 0.45, N = 3116.33218.131. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 7713EPYC 7713 2P60120180240300SE +/- 0.42, N = 3SE +/- 0.60, N = 3274.57292.82MIN: 116.27 / MAX: 347.98MIN: 139.85 / MAX: 449.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1212.8230.3EPYC 7713 2P81.0416.9461.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 7713EPYC 7713 2P5001000150020002500SE +/- 0.33, N = 3SE +/- 1.76, N = 3246313791. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6208.1230.5EPYC 7713 2P81.1408.6461.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7713EPYC 7713 2P8K16K24K32K40KSE +/- 29.02, N = 3SE +/- 60.36, N = 339568221581. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.0209.0230.3EPYC 7713 2P80.1402.3460.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 162.94, N = 3SE +/- 224.62, N = 384968446241. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8201.1230.3EPYC 7713 2P81.2418.9460.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 7713EPYC 7713 2P5001000150020002500SE +/- 1.73, N = 3SE +/- 0.33, N = 3249614241. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8208.6230.3EPYC 7713 2P80.0408.1460.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7713EPYC 7713 2P9K18K27K36K45KSE +/- 10.17, N = 3SE +/- 44.67, N = 340058227421. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1209.6230.3EPYC 7713 2P80.8402.6460.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 135.08, N = 3SE +/- 39.74, N = 386081454601. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8201.2230.3EPYC 7713 2P81.0419.8460.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 7713EPYC 7713 2P6001200180024003000SE +/- 0.88, N = 3SE +/- 0.33, N = 3292216461. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9208.7230.3EPYC 7713 2P80.3409.5460.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7713EPYC 7713 2P10K20K30K40K50KSE +/- 66.05, N = 3SE +/- 146.03, N = 347134265101. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9212.4231.2EPYC 7713 2P80.9410.5460.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7713EPYC 7713 2P20K40K60K80K100KSE +/- 269.96, N = 3SE +/- 265.11, N = 3100051527851. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.3205.1230.3EPYC 7713 2P80.1424.8460.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor120240360480600

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 7713EPYC 7713 2P246810SE +/- 0.094028, N = 15SE +/- 0.079319, N = 156.1330603.5565701. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5149.9230.3EPYC 7713 2P80.8257.4460.6OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor120240360480600

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 7713EPYC 7713 2P3691215SE +/- 0.119128, N = 4SE +/- 0.039464, N = 611.4272305.6758951. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5173.1229.8EPYC 7713 2P80.6294.1460.6OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor120240360480600

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7713EPYC 7713 2P160K320K480K640K800KSE +/- 5040.99, N = 3SE +/- 2382.18, N = 3733332726003

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7713EPYC 7713 2P2K4K6K8K10K10433.995162.81

PHPBench

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.370.376.1EPYC 7713 2P79.7140.6150.2OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor4080120160200

PJSIP

Method: OPTIONS, Stateful

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulEPYC 7713EPYC 7713 2P2K4K6K8K10KSE +/- 72.18, N = 3SE +/- 15.60, N = 3911588191. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

PJSIP

Method: OPTIONS, Stateful

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulEPYC 7713EPYC 7713 2P306090120150114.9257.42

PJSIP

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.479.395.7EPYC 7713 2P80.9153.6170.4OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor50100150200250

PJSIP

Method: OPTIONS, Stateless

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessEPYC 7713EPYC 7713 2P14K28K42K56K70KSE +/- 187.70, N = 3SE +/- 232.96, N = 366602676171. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

PJSIP

Method: OPTIONS, Stateless

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessEPYC 7713EPYC 7713 2P160320480640800754.96422.51

PJSIP

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.388.299.4EPYC 7713 2P80.7160.0181.8OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor50100150200250

PJSIP

Method: INVITE

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: INVITEEPYC 7713EPYC 7713 2P10002000300040005000SE +/- 16.00, N = 3SE +/- 8.69, N = 3469046921. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

PJSIP

Method: INVITE

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: INVITEEPYC 7713EPYC 7713 2P132639526557.2129.75

PJSIP

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.482.093.3EPYC 7713 2P80.4157.7174.4OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor50100150200250

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7713EPYC 7713 2P16K32K48K64K80KSE +/- 106.66, N = 3SE +/- 294.20, N = 1273527166331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7713EPYC 7713 2P48121620SE +/- 0.005, N = 3SE +/- 0.235, N = 123.40015.0761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.3190.3221.5EPYC 7713 2P80.4260.6353.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor100200300400500

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 7713EPYC 7713 2P400K800K1200K1600K2000KSE +/- 818.86, N = 3SE +/- 12988.21, N = 3129768419831551. (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.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7713EPYC 7713 2P0.04340.08680.13020.17360.217SE +/- 0.000, N = 3SE +/- 0.001, N = 30.1930.1261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6200.0230.2EPYC 7713 2P80.9399.9461.4OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor120240360480600

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 500 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read WriteEPYC 7713EPYC 7713 2P13K26K39K52K65KSE +/- 172.39, N = 3SE +/- 133.03, N = 1262654142611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average LatencyEPYC 7713EPYC 7713 2P816243240SE +/- 0.022, N = 3SE +/- 0.318, N = 127.98035.0941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6190.9220.5EPYC 7713 2P80.4262.2360.1OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor100200300400500

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 500 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read OnlyEPYC 7713EPYC 7713 2P400K800K1200K1600K2000KSE +/- 13290.57, N = 3SE +/- 13496.08, N = 3137093520127221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyEPYC 7713EPYC 7713 2P0.08210.16420.24630.32840.4105SE +/- 0.004, N = 3SE +/- 0.002, N = 30.3650.2481. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6200.5231.1EPYC 7713 2P80.5401.3457.5OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor120240360480600

POV-Ray

Trace Time

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 7713EPYC 7713 2P3691215SE +/- 0.067, N = 4SE +/- 0.050, N = 510.6807.5901. (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

POV-Ray

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8150.2230.3EPYC 7713 2P80.6246.9460.5OpenBenchmarking.orgWatts, Fewer Is BetterPOV-Ray 3.7.0.7CPU Power Consumption Monitor120240360480600

Primesieve

Length: 1e13

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13EPYC 7713EPYC 7713 2P1224364860SE +/- 0.05, N = 3SE +/- 0.07, N = 355.2628.721. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.2216.1231.0EPYC 7713 2P81.7407.9460.7OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption Monitor120240360480600

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 7713EPYC 7713 2P2004006008001000SE +/- 4.10, N = 3SE +/- 2.60, N = 3959953

PyBench

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.270.376.9EPYC 7713 2P80.6139.8154.7OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor4080120160200

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosEPYC 7713EPYC 7713 2P20406080100SE +/- 0.13, N = 3SE +/- 0.15, N = 396.595.8

PyPerformance

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.471.876.4EPYC 7713 2P80.2145.3159.2OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor50100150200250

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonEPYC 7713EPYC 7713 2P80160240320400SE +/- 1.45, N = 3SE +/- 1.00, N = 3387385

PyPerformance

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.270.376.1EPYC 7713 2P80.0142.9154.4OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor4080120160200

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupEPYC 7713EPYC 7713 2P246810SE +/- 0.00, N = 3SE +/- 0.00, N = 37.647.71

PyPerformance

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.373.576.0EPYC 7713 2P80.0147.6155.9OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor4080120160200

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 7713EPYC 7713 2P306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3156155

PyPerformance

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.271.375.9EPYC 7713 2P80.7143.0155.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor4080120160200

QuantLib

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21EPYC 7713EPYC 7713 2P6001200180024003000SE +/- 28.31, N = 3SE +/- 1.70, N = 32795.32808.81. (CXX) g++ options: -O3 -march=native -rdynamic

QuantLib

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.21EPYC 7713EPYC 7713 2P91827364539.0719.75

QuantLib

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.271.676.8EPYC 7713 2P79.7142.3154.2OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.21CPU Power Consumption Monitor4080120160200

Quantum ESPRESSO

Input: AUSURF112

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 7.0Input: AUSURF112EPYC 7713EPYC 7713 2P90180270360450SE +/- 0.15, N = 3SE +/- 0.17, N = 3397.64399.921. (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

Quantum ESPRESSO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 7.0CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P80160240320400Min: 38.14 / Avg: 226.3 / Max: 231.31Min: 80.14 / Avg: 453.36 / Max: 465.83

Redis

Test: GET - Parallel Connections: 1000

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 1000EPYC 7713EPYC 7713 2P400K800K1200K1600K2000KSE +/- 8028.55, N = 3SE +/- 7896.51, N = 31990067.331364479.131. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: GET - Parallel Connections: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 7.0.4Test: GET - Parallel Connections: 1000EPYC 7713EPYC 7713 2P3K6K9K12K15K12590.694701.77

Redis

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.2158.1228.0EPYC 7713 2P81.0290.2443.4OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.4CPU Power Consumption Monitor120240360480600

RELION

Test: Basic - Device: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUEPYC 7713EPYC 7713 2P120240360480600SE +/- 3.66, N = 3SE +/- 3.51, N = 4563.27290.961. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lmpi_cxx -lmpi

RELION

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P80160240320400Min: 38.17 / Avg: 220.64 / Max: 230.23Min: 80.71 / Avg: 443.79 / Max: 460.84

Renaissance

Test: Savina Reactors.IO

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IOEPYC 7713EPYC 7713 2P3K6K9K12K15KSE +/- 89.73, N = 3SE +/- 134.48, N = 128004.912254.2MIN: 7833.11 / MAX: 12272.32MIN: 11483.79 / MAX: 29956.39

Renaissance

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.489.9155.4EPYC 7713 2P80.3189.0356.9OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor100200300400500

Renaissance

Test: Apache Spark Bayes

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark BayesEPYC 7713EPYC 7713 2P140280420560700SE +/- 2.85, N = 3SE +/- 4.99, N = 3585.6638.1MIN: 368.12 / MAX: 849.82MIN: 368.33 / MAX: 1098.6

Renaissance

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4139.9213.7EPYC 7713 2P80.2262.5385.5OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor100200300400500

Renaissance

Test: Apache Spark PageRank

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark PageRankEPYC 7713EPYC 7713 2P9001800270036004500SE +/- 36.17, N = 4SE +/- 42.53, N = 123067.33985.7MIN: 2704.9 / MAX: 3282.25MIN: 3177.8 / MAX: 5051.59

Renaissance

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.497.0174.5EPYC 7713 2P79.9205.5333.4OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor80160240320400

Renaissance

Test: In-Memory Database Shootout

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: In-Memory Database ShootoutEPYC 7713EPYC 7713 2P13002600390052006500SE +/- 58.97, N = 4SE +/- 42.85, N = 35009.26136.4MIN: 4716.84 / MAX: 5514.55MIN: 5231.89 / MAX: 7748.89

Renaissance

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4129.2162.5EPYC 7713 2P80.9238.6386.5OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor100200300400500

Renaissance

Test: Finagle HTTP Requests

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Finagle HTTP RequestsEPYC 7713EPYC 7713 2P2K4K6K8K10KSE +/- 23.48, N = 3SE +/- 107.40, N = 36720.810535.4MIN: 6349.06 / MAX: 6850.05MIN: 9747.42 / MAX: 10878.16

Renaissance

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5207.7227.1EPYC 7713 2P80.9410.9452.4OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor120240360480600

Renaissance

Test: Genetic Algorithm Using Jenetics + Futures

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Genetic Algorithm Using Jenetics + FuturesEPYC 7713EPYC 7713 2P5001000150020002500SE +/- 24.42, N = 3SE +/- 20.78, N = 32243.22314.9MIN: 2049.08 / MAX: 2446.27MIN: 2126.5 / MAX: 2897.34

Renaissance

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.683.498.2EPYC 7713 2P79.9162.6198.2OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor50100150200250

Renaissance

Test: ALS Movie Lens

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: ALS Movie LensEPYC 7713EPYC 7713 2P5K10K15K20K25KSE +/- 25.65, N = 3SE +/- 323.63, N = 418814.124613.1MIN: 18778.84 / MAX: 20660.87MIN: 20413.78 / MAX: 30021.19

Renaissance

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P50100150200250Min: 37.3 / Avg: 94.8 / Max: 146.06Min: 81.42 / Avg: 198.22 / Max: 255.04

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC 7713EPYC 7713 2P246810SE +/- 0.014, N = 6SE +/- 0.026, N = 76.8456.2831. (CXX) g++ options: -O2 -lOpenCL

Rodinia

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5134.1228.4EPYC 7713 2P81.0257.2439.8OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor120240360480600

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7713EPYC 7713 2P1122334455SE +/- 0.08, N = 3SE +/- 0.14, N = 346.5526.741. (CXX) g++ options: -O2 -lOpenCL

Rodinia

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5200.8230.3EPYC 7713 2P81.3362.6462.2OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor120240360480600

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC 7713EPYC 7713 2P1122334455SE +/- 0.47, N = 4SE +/- 0.41, N = 343.3947.281. (CXX) g++ options: -O2 -lOpenCL

Rodinia

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9160.1185.5EPYC 7713 2P80.6252.9280.7OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor70140210280350

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC 7713EPYC 7713 2P20406080100SE +/- 1.40, N = 15SE +/- 1.37, N = 1588.0289.281. (CXX) g++ options: -O2 -lOpenCL

Rodinia

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P60120180240300Min: 37.31 / Avg: 95.61 / Max: 178.35Min: 76.91 / Avg: 184.96 / Max: 331.47

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 7713EPYC 7713 2P50K100K150K200K250KSE +/- 2502.24, N = 3SE +/- 512.51, N = 32477472495821. (CC) gcc options: -pedantic -O3

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks Per Watt, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 7713EPYC 7713 2P70014002100280035003330.251670.40

SecureMark

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.374.475.4EPYC 7713 2P79.8149.4154.8OpenBenchmarking.orgWatts, Fewer Is BetterSecureMark 1.0.4CPU Power Consumption Monitor4080120160200

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsEPYC 7713EPYC 7713 2P0.86851.7372.60553.4744.3425SE +/- 0.01, N = 3SE +/- 0.00, N = 33.863.841. (CXX) g++ options: -O3

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsEPYC 7713EPYC 7713 2P0.01170.02340.03510.04680.05850.0520.026

simdjson

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.274.876.7EPYC 7713 2P76.3149.2159.5OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor50100150200250

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomEPYC 7713EPYC 7713 2P0.2250.450.6750.91.125SE +/- 0.00, N = 3SE +/- 0.00, N = 3111. (CXX) g++ options: -O3

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: LargeRandomEPYC 7713EPYC 7713 2P0.00270.00540.00810.01080.01350.0120.006

simdjson

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.383.590.5EPYC 7713 2P80.6156.7166.5OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor50100150200250

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaEPYC 7713EPYC 7713 2P0.65251.3051.95752.613.2625SE +/- 0.00, N = 3SE +/- 0.00, N = 32.92.91. (CXX) g++ options: -O3

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: KostyaEPYC 7713EPYC 7713 2P0.00720.01440.02160.02880.0360.0320.018

simdjson

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.391.897.2EPYC 7713 2P80.7165.0173.5OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor50100150200250

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDEPYC 7713EPYC 7713 2P0.99451.9892.98353.9784.9725SE +/- 0.01, N = 3SE +/- 0.01, N = 34.404.421. (CXX) g++ options: -O3

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDEPYC 7713EPYC 7713 2P0.01330.02660.03990.05320.06650.0590.030

simdjson

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.274.878.5EPYC 7713 2P80.7149.3157.9OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor4080120160200

simdjson

Throughput Test: TopTweet

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetEPYC 7713EPYC 7713 2P0.98781.97562.96343.95124.939SE +/- 0.00, N = 3SE +/- 0.02, N = 34.394.391. (CXX) g++ options: -O3

simdjson

Throughput Test: TopTweet

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: TopTweetEPYC 7713EPYC 7713 2P0.01330.02660.03990.05320.06650.0590.029

simdjson

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.274.978.4EPYC 7713 2P80.5149.7157.7OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor4080120160200

SPECjbb 2015

SPECjbb2015-Composite max-jOPS

OpenBenchmarking.orgjOPS, More Is BetterSPECjbb 2015SPECjbb2015-Composite max-jOPSEPYC 7713EPYC 7713 2P30K60K90K120K150K127957130899

SPECjbb 2015

SPECjbb2015-Composite critical-jOPS

OpenBenchmarking.orgjOPS, More Is BetterSPECjbb 2015SPECjbb2015-Composite critical-jOPSEPYC 7713EPYC 7713 2P20K40K60K80K100K8538968946

SPECjbb 2015

SPECjbb2015-Composite critical-jOPS

OpenBenchmarking.orgjOPS Per Watt, More Is BetterSPECjbb 2015SPECjbb2015-Composite critical-jOPSEPYC 7713EPYC 7713 2P110220330440550498.68196.90

SPECjbb 2015

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterSPECjbb 2015CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P80160240320400Min: 37.88 / Avg: 171.23 / Max: 224.72Min: 77.79 / Avg: 350.16 / Max: 445.79

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMEPYC 7713EPYC 7713 2P90180270360450SE +/- 0.59, N = 4SE +/- 2.15, N = 15396.0392.31. (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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMEPYC 7713EPYC 7713 2P306090120150SE +/- 0.23, N = 4SE +/- 0.20, N = 15143.6143.61. (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.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMEPYC 7713EPYC 7713 2P0.47090.94181.41271.88362.35452.0931.036

srsRAN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.268.676.6EPYC 7713 2P80.5138.6165.0OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor50100150200250

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMEPYC 7713EPYC 7713 2P90180270360450SE +/- 1.02, N = 3SE +/- 0.95, N = 3430.5427.41. (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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMEPYC 7713EPYC 7713 2P306090120150SE +/- 0.86, N = 3SE +/- 0.29, N = 3149.6149.61. (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.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMEPYC 7713EPYC 7713 2P0.48220.96441.44661.92882.4112.1431.069

srsRAN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.269.876.8EPYC 7713 2P80.5140.0154.8OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor4080120160200

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMEPYC 7713EPYC 7713 2P90180270360450SE +/- 2.00, N = 3SE +/- 0.24, N = 3394.4394.11. (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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMEPYC 7713EPYC 7713 2P306090120150SE +/- 0.30, N = 3SE +/- 0.46, N = 3133.7133.61. (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.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMEPYC 7713EPYC 7713 2P0.41490.82981.24471.65962.07451.8440.926

srsRAN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.372.576.8EPYC 7713 2P80.5144.3155.4OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor4080120160200

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMEPYC 7713EPYC 7713 2P90180270360450SE +/- 0.18, N = 3SE +/- 0.64, N = 3431.8426.11. (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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMEPYC 7713EPYC 7713 2P306090120150SE +/- 0.24, N = 3SE +/- 0.26, N = 3141.4141.01. (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.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMEPYC 7713EPYC 7713 2P0.43740.87481.31221.74962.1871.9440.970

srsRAN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.472.776.8EPYC 7713 2P80.5145.3155.3OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor4080120160200

srsRAN

Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMEPYC 7713EPYC 7713 2P306090120150SE +/- 0.18, N = 3SE +/- 0.52, N = 3128.9127.91. (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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMEPYC 7713EPYC 7713 2P1428425670SE +/- 0.12, N = 3SE +/- 0.06, N = 362.462.21. (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.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMEPYC 7713EPYC 7713 2P0.20180.40360.60540.80721.0090.8970.445

srsRAN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.269.576.0EPYC 7713 2P80.5139.8151.0OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor4080120160200

srsRAN

Test: OFDM_Test

OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestEPYC 7713EPYC 7713 2P30M60M90M120M150MSE +/- 1516941.37, N = 3SE +/- 1304266.50, N = 31366333331303333331. (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: OFDM_Test

OpenBenchmarking.orgSamples / Second Per Watt, More Is BettersrsRAN 22.04.1Test: OFDM_TestEPYC 7713EPYC 7713 2P400K800K1200K1600K2000K1822001.36887112.35

srsRAN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.175.080.4EPYC 7713 2P80.7146.9158.5OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor50100150200250

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeEPYC 7713EPYC 7713 2P60M120M180M240M300MSE +/- 3372481.12, N = 12SE +/- 4884547.18, N = 151493836892794869421. (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

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 15Total TimeEPYC 7713EPYC 7713 2P150K300K450K600K750K678106.61637159.42

Stockfish

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.3220.3230.4EPYC 7713 2P80.2438.6460.8OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 15CPU Power Consumption Monitor120240360480600

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P4080120160200SE +/- 7.71, N = 15SE +/- 1.07, N = 7184.71179.551. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P0.43830.87661.31491.75322.19151.9480.984

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.394.8191.2EPYC 7713 2P80.8182.5323.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.2CPU Power Consumption Monitor80160240320400

SVT-AV1

Encoder Mode: Preset 10 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P306090120150SE +/- 0.47, N = 7SE +/- 0.78, N = 6131.27123.811. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 10 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P0.27990.55980.83971.11961.39951.2440.624

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4105.5191.2EPYC 7713 2P81.6198.5329.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.2CPU Power Consumption Monitor80160240320400

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P1632486480SE +/- 0.18, N = 5SE +/- 0.45, N = 570.7868.801. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P0.12110.24220.36330.48440.60550.5380.297

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.3131.7204.2EPYC 7713 2P81.0231.8351.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.2CPU Power Consumption Monitor100200300400500

SVT-HEVC

Tuning: 1 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P48121620SE +/- 0.01, N = 3SE +/- 0.14, N = 39.9115.081. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 1 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P0.01040.02080.03120.04160.0520.0460.038

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4214.7230.3EPYC 7713 2P80.5395.3460.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor120240360480600

SVT-HEVC

Tuning: 7 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P306090120150SE +/- 0.23, N = 7SE +/- 0.72, N = 6137.74144.701. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 7 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P0.24140.48280.72420.96561.2071.0730.644

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7128.4228.5EPYC 7713 2P80.0224.7429.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor110220330440550

SVT-HEVC

Tuning: 10 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P50100150200250SE +/- 0.71, N = 9SE +/- 2.01, N = 15223.66195.621. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 10 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P0.47750.9551.43251.912.38752.1221.009

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5105.4226.3EPYC 7713 2P40.6194.0392.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor110220330440550

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUEPYC 7713EPYC 7713 2P110K220K330K440K550KSE +/- 51.07, N = 3SE +/- 659.19, N = 3252440.57500125.791. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 1.0.20Test: CPUEPYC 7713EPYC 7713 2P300600900120015001186.321152.51

Sysbench

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1212.8221.7EPYC 7713 2P81.4433.9456.4OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor120240360480600

Sysbench

Test: RAM / Memory

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / MemoryEPYC 7713EPYC 7713 2P2K4K6K8K10KSE +/- 21.53, N = 5SE +/- 89.77, N = 49990.127260.661. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

Sysbench

Test: RAM / Memory

OpenBenchmarking.orgMiB/sec Per Watt, More Is BetterSysbench 1.0.20Test: RAM / MemoryEPYC 7713EPYC 7713 2P2040608010087.2829.18

Sysbench

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8114.5147.2EPYC 7713 2P80.4248.9306.9OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor80160240320400

Timed Apache Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileEPYC 7713EPYC 7713 2P510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 320.1020.52

Timed Apache Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.481.0129.0EPYC 7713 2P79.6154.9245.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Power Consumption Monitor60120180240300

Timed CPython Compilation

Build Configuration: Default

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultEPYC 7713EPYC 7713 2P4812162015.7115.39

Timed CPython Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.081.6208.3EPYC 7713 2P79.4157.2334.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed CPython Compilation 3.10.6CPU Power Consumption Monitor80160240320400

Timed CPython Compilation

Build Configuration: Released Build, PGO + LTO Optimized

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedEPYC 7713EPYC 7713 2P60120180240300261.37261.34

Timed CPython Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.684.0215.1EPYC 7713 2P81.1161.6395.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed CPython Compilation 3.10.6CPU Power Consumption Monitor110220330440550

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To CompileEPYC 7713EPYC 7713 2P48121620SE +/- 0.06, N = 3SE +/- 0.08, N = 418.1514.27

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4129.8230.1EPYC 7713 2P80.6224.4460.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.4CPU Power Consumption Monitor120240360480600

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileEPYC 7713EPYC 7713 2P4080120160200SE +/- 1.96, N = 3SE +/- 1.20, N = 3176.43159.02

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5137.4229.6EPYC 7713 2P80.3235.4456.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 21.2CPU Power Consumption Monitor120240360480600

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileEPYC 7713EPYC 7713 2P1020304050SE +/- 0.08, N = 3SE +/- 0.08, N = 343.3541.17

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5151.2228.9EPYC 7713 2P80.2253.8456.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor120240360480600

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: defconfigEPYC 7713EPYC 7713 2P714212835SE +/- 0.33, N = 4SE +/- 0.20, N = 729.4121.58

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7143.3230.4EPYC 7713 2P80.5246.1460.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.18CPU Power Consumption Monitor120240360480600

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: allmodconfigEPYC 7713EPYC 7713 2P60120180240300SE +/- 0.54, N = 3SE +/- 0.47, N = 3272.61160.46

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5203.2229.9EPYC 7713 2P81.3375.6461.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.18CPU Power Consumption Monitor120240360480600

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaEPYC 7713EPYC 7713 2P4080120160200SE +/- 0.28, N = 3SE +/- 0.51, N = 3159.58105.03

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.8183.4230.3EPYC 7713 2P80.1319.2460.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption Monitor120240360480600

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesEPYC 7713EPYC 7713 2P50100150200250SE +/- 0.36, N = 3SE +/- 0.32, N = 3218.45178.68

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9167.6230.8EPYC 7713 2P80.3287.6461.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption Monitor120240360480600

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileEPYC 7713EPYC 7713 2P510152025SE +/- 0.01, N = 3SE +/- 0.08, N = 320.6118.10

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7126.1230.3EPYC 7713 2P80.8212.6461.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor120240360480600

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileEPYC 7713EPYC 7713 2P4080120160200SE +/- 0.14, N = 3SE +/- 0.71, N = 3164.00113.47

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.9182.4229.9EPYC 7713 2P80.8320.4461.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 18.8CPU Power Consumption Monitor120240360480600

Timed PHP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileEPYC 7713EPYC 7713 2P918273645SE +/- 0.41, N = 3SE +/- 0.46, N = 339.7638.34

Timed PHP Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6105.0229.7EPYC 7713 2P80.7191.0458.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 8.1.9CPU Power Consumption Monitor120240360480600

Timed Wasmer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileEPYC 7713EPYC 7713 2P1224364860SE +/- 0.11, N = 3SE +/- 0.51, N = 351.9751.871. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

Timed Wasmer Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6114.1224.6EPYC 7713 2P80.8199.6385.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Wasmer Compilation 2.3CPU Power Consumption Monitor100200300400500

TNN

Target: CPU - Model: DenseNet

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetEPYC 7713EPYC 7713 2P7001400210028003500SE +/- 0.99, N = 3SE +/- 3.94, N = 33107.103065.92MIN: 3090.23 / MAX: 3134.07MIN: 3032.01 / MAX: 3618.41. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.595.1101.9EPYC 7713 2P80.3200.2232.1OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor60120180240300

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2EPYC 7713EPYC 7713 2P70140210280350SE +/- 0.13, N = 3SE +/- 0.48, N = 3332.61341.28MIN: 331.37 / MAX: 346.44MIN: 339.15 / MAX: 401.21. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.383.092.5EPYC 7713 2P81.6174.3194.2OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor50100150200250

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1EPYC 7713EPYC 7713 2P60120180240300SE +/- 0.03, N = 3SE +/- 0.08, N = 3273.48273.85MIN: 273.31 / MAX: 275.21MIN: 273.49 / MAX: 274.551. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.268.675.3EPYC 7713 2P81.1138.9151.6OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor4080120160200

TNN

Target: CPU - Model: SqueezeNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2EPYC 7713EPYC 7713 2P1530456075SE +/- 0.23, N = 8SE +/- 0.18, N = 865.6265.89MIN: 64.64 / MAX: 71.42MIN: 65.21 / MAX: 67.081. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.158.475.7EPYC 7713 2P80.0119.3154.0OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor4080120160200

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P48121620SE +/- 0.08, N = 3SE +/- 0.37, N = 1515.8613.861. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P0.03240.06480.09720.12960.1620.1440.071

VP9 libvpx Encoding

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.4110.3122.8EPYC 7713 2P80.5196.6227.6OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.10.0CPU Power Consumption Monitor60120180240300

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultEPYC 7713EPYC 7713 2P48121620SE +/- 0.01, N = 11SE +/- 0.01, N = 1116.7816.751. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultEPYC 7713EPYC 7713 2P0.07650.1530.22950.3060.38250.3400.162

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.149.475.6EPYC 7713 2P79.4103.7149.9OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor4080120160200

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100EPYC 7713EPYC 7713 2P3691215SE +/- 0.01, N = 10SE +/- 0.00, N = 1010.6910.651. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100EPYC 7713EPYC 7713 2P0.04570.09140.13710.18280.22850.2030.097

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 771336.952.775.7EPYC 7713 2P79.2109.5151.1OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor4080120160200

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionEPYC 7713EPYC 7713 2P0.7831.5662.3493.1323.915SE +/- 0.00, N = 6SE +/- 0.00, N = 63.483.471. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionEPYC 7713EPYC 7713 2P0.01260.02520.03780.05040.0630.0560.028

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.062.075.4EPYC 7713 2P78.6125.9150.5OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor4080120160200

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessEPYC 7713EPYC 7713 2P0.31950.6390.95851.2781.5975SE +/- 0.01, N = 3SE +/- 0.01, N = 31.401.421. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessEPYC 7713EPYC 7713 2P0.00470.00940.01410.01880.02350.0210.010

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.267.777.7EPYC 7713 2P79.2136.0150.9OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor4080120160200

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionEPYC 7713EPYC 7713 2P0.1260.2520.3780.5040.63SE +/- 0.00, N = 3SE +/- 0.00, N = 30.560.561. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionEPYC 7713EPYC 7713 2P0.00160.00320.00480.00640.0080.0070.004

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.276.485.2EPYC 7713 2P80.2148.4158.5OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor50100150200250

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultEPYC 7713EPYC 7713 2P3691215SE +/- 0.08, N = 15SE +/- 0.21, N = 159.009.701. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultEPYC 7713EPYC 7713 2P0.02390.04780.07170.09560.11950.1060.068

WebP2 Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.285.3200.9EPYC 7713 2P79.7143.6291.2OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor70140210280350

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7EPYC 7713EPYC 7713 2P0.12380.24760.37140.49520.619SE +/- 0.00, N = 3SE +/- 0.01, N = 30.480.551. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7EPYC 7713EPYC 7713 2P0.00070.00140.00210.00280.00350.0030.002

WebP2 Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.0190.9230.3EPYC 7713 2P80.3297.9379.6OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor100200300400500

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7EPYC 7713EPYC 7713 2P0.06980.13960.20940.27920.349SE +/- 0.00, N = 3SE +/- 0.00, N = 70.240.311. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7EPYC 7713EPYC 7713 2P0.00020.00040.00060.00080.0010.0010.001

WebP2 Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.6203.9230.3EPYC 7713 2P79.8345.9460.6OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor120240360480600

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5EPYC 7713EPYC 7713 2P3691215SE +/- 0.04, N = 10SE +/- 0.03, N = 810.856.411. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5EPYC 7713EPYC 7713 2P0.0250.050.0750.10.1250.1110.033

WebP2 Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.597.8228.0EPYC 7713 2P80.0192.5410.0OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor110220330440550

WRF

Input: conus 2.5km

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmEPYC 7713EPYC 7713 2P4K8K12K16K20K16959.858650.841. (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

WRF

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P80160240320400Min: 37.97 / Avg: 213.89 / Max: 233.05Min: 80.92 / Avg: 444.81 / Max: 460.67

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7713EPYC 7713 2P612182430SE +/- 0.03, N = 3SE +/- 0.26, N = 426.6921.481. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7713EPYC 7713 2P0.04210.08420.12630.16840.21050.1870.089

x265

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.5142.4181.5EPYC 7713 2P80.0241.3294.3OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor70140210280350

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 7713EPYC 7713 2P130260390520650SE +/- 1.64, N = 3SE +/- 0.29, N = 3609.68300.691. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Xcompact3d Incompact3d

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorEPYC 7713EPYC 7713 2P80160240320400Min: 37.94 / Avg: 210.48 / Max: 220.44Min: 81.73 / Avg: 436.12 / Max: 448.76

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MEPYC 7713EPYC 7713 2P11K22K33K44K55KSE +/- 67.12, N = 3SE +/- 161.81, N = 328612.450749.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MEPYC 7713EPYC 7713 2P306090120150140.22135.37

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.1204.1226.2EPYC 7713 2P80.4374.9459.8OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor120240360480600

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MEPYC 7713EPYC 7713 2P9K18K27K36K45KSE +/- 49.92, N = 3SE +/- 68.12, N = 336467.241982.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MEPYC 7713EPYC 7713 2P4080120160200182.74108.02

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 771338.0199.6229.3EPYC 7713 2P81.4388.7457.6OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor120240360480600

Zstd Compression

Compression Level: 19 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedEPYC 7713EPYC 7713 2P20406080100SE +/- 0.84, N = 3SE +/- 1.20, N = 384.984.71. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedEPYC 7713EPYC 7713 2P7001400210028003500SE +/- 14.77, N = 3SE +/- 23.51, N = 33401.63473.01. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedEPYC 7713EPYC 7713 2P71421283530.7117.54

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.7110.8165.3EPYC 7713 2P78.9198.0279.6OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor70140210280350

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression SpeedEPYC 7713EPYC 7713 2P1122334455SE +/- 0.21, N = 3SE +/- 0.25, N = 347.439.91. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedEPYC 7713EPYC 7713 2P7001400210028003500SE +/- 14.37, N = 3SE +/- 21.87, N = 33460.33485.81. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedEPYC 7713EPYC 7713 2P81624324034.9918.77

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 771337.698.9127.1EPYC 7713 2P80.8185.7245.6OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor60120180240300

Phoronix Test Suite v10.8.5