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&grt&sor.

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 7713 2PEPYC 7713110K220K330K440K550KSE +/- 4935.82, N = 3SE +/- 361.70, N = 35166173510771. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 7713 2PEPYC 7713140K280K420K560K700KSE +/- 2913.98, N = 3SE +/- 180.78, N = 36340863546081. (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 7713 2PEPYC 7713714212835SE +/- 0.29, N = 6SE +/- 0.08, N = 532.0720.881. (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 7713 2PEPYC 771330K60K90K120K150KSE +/- 293.66, N = 3SE +/- 854.57, N = 3149778.80149666.941. (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 7713 2PEPYC 7713400M800M1200M1600M2000MSE +/- 699794.57, N = 3SE +/- 863687.12, N = 3192330666710120516671. (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 7713 2PEPYC 7713142842567050.4661.27

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 7713 2PEPYC 77139K18K27K36K45KSE +/- 448.28, N = 3SE +/- 173.09, N = 339742.020252.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7713 2PEPYC 77139K18K27K36K45KSE +/- 263.02, N = 3SE +/- 76.73, N = 343735.821943.01. (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 7713 2PEPYC 771350M100M150M200M250MSE +/- 2119737.62, N = 12SE +/- 277360.08, N = 3248870519138776102

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 7713 2PEPYC 771380160240320400SE +/- 1.30, N = 7SE +/- 0.11, N = 7380.65236.601. (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 7713 2PEPYC 77131326395265SE +/- 0.06, N = 5SE +/- 0.02, N = 458.4730.461. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ThoroughEPYC 7713 2PEPYC 77130.05580.11160.16740.22320.2790.2480.213

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 7713 2PEPYC 7713246810SE +/- 0.0100, N = 4SE +/- 0.0030, N = 36.44993.26591. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ExhaustiveEPYC 7713 2PEPYC 77130.00520.01040.01560.02080.0260.0230.019

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 7713 2PEPYC 77133691215SE +/- 0.029, N = 5SE +/- 0.005, N = 58.77310.6151. (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 7713 2PEPYC 771348121620SE +/- 0.07, N = 4SE +/- 0.01, N = 411.4015.391. (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 7713 2PEPYC 77130.76281.52562.28843.05123.814SE +/- 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 7713 2PEPYC 7713714212835SE +/- 0.23, N = 3SE +/- 0.08, N = 317.1930.43

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 7713 2PEPYC 771320406080100SE +/- 0.23, N = 3SE +/- 0.09, N = 340.8977.14

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 7713 2PEPYC 7713918273645SE +/- 0.08, N = 3SE +/- 0.03, N = 322.2538.85

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 7713 2PEPYC 771320406080100SE +/- 0.25, N = 3SE +/- 0.08, N = 353.8896.30

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 7713 2PEPYC 771370140210280350SE +/- 0.28, N = 3SE +/- 0.18, N = 3171.52299.30

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 7713 2PEPYC 7713700K1400K2100K2800K3500K32405156976981. (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 7713 2PEPYC 77134K8K12K16K20K17175.933133.83

BRL-CAD

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.32.6CPU Power Consumption MonitorEPYC 7713 2PEPYC 771360120180240300Min: 78.76 / Avg: 188.67 / Max: 340.41Min: 37.39 / Avg: 222.63 / Max: 230.51

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 7713 2PEPYC 77131326395265SE +/- 0.25, N = 3SE +/- 0.18, N = 353.2358.96

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 7713 2PEPYC 771390180270360450SE +/- 2.46, N = 3SE +/- 1.58, N = 15396.82394.98MIN: 60.67 / MAX: 20000MIN: 40.79 / 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 7713 2PEPYC 7713900K1800K2700K3600K4500KSE +/- 2413.85, N = 3SE +/- 10186.88, N = 34105747.142045229.651. (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 7713 2PEPYC 77132K4K6K8K10K10250.929708.04

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 7713 2PEPYC 7713306090120150SE +/- 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 7713 2PEPYC 7713612182430SE +/- 0.04, N = 3SE +/- 0.08, N = 323.3123.38

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 7713 2PEPYC 7713100K200K300K400K500KSE +/- 5345.80, N = 15SE +/- 2042.62, N = 94532582464941. (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 7713 2PEPYC 77131530456075SE +/- 0.62, N = 15SE +/- 0.07, N = 568.8862.98MIN: 62.6 / MAX: 74.57MIN: 61.69 / MAX: 65.06

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 7713 2PEPYC 771320406080100SE +/- 0.10, N = 6SE +/- 0.16, N = 489.6051.83MIN: 83.63 / MAX: 104.61MIN: 50.82 / MAX: 57.89

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 7713 2PEPYC 77131530456075SE +/- 0.75, N = 15SE +/- 0.17, N = 467.1756.81MIN: 59.54 / MAX: 73.59MIN: 55.32 / MAX: 58.61

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 7713 2PEPYC 771320406080100SE +/- 0.07, N = 6SE +/- 0.05, N = 482.9347.56MIN: 77.94 / MAX: 92.77MIN: 46.72 / MAX: 49.62

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 7713 2PEPYC 7713100M200M300M400M500MSE +/- 753688.43, N = 3SE +/- 482617.87, N = 34801753322420747981. (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 7713 2PEPYC 77133M6M9M12M15MSE +/- 195708.96, N = 3SE +/- 66207.97, N = 31456467391821671. (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 7713 2PEPYC 7713246810SE +/- 0.021, N = 6SE +/- 0.020, N = 66.5456.582

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 7713 2PEPYC 7713160320480640800SE +/- 0.12, N = 3SE +/- 1.04, N = 3748.06747.311. (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 7713 2PEPYC 77131632486480SE +/- 0.25, N = 3SE +/- 0.19, N = 343.8671.661. (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 7713 2PEPYC 7713140M280M420M560M700M6425160006226810001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

Graph500

Scale: 26

OpenBenchmarking.orgbfs max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713 2PEPYC 7713140M280M420M560M700M6594670006422780001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

Graph500

Scale: 26

OpenBenchmarking.orgsssp median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713 2PEPYC 771360M120M180M240M300M3023380002544770001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

Graph500

Scale: 26

OpenBenchmarking.orgsssp max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713 2PEPYC 771380M160M240M320M400M3903770003235930001. (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 7713 2PEPYC 771330060090012001500SE +/- 9.60, N = 3SE +/- 1.15, N = 313449411. (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 7713 2PEPYC 77132004006008001000SE +/- 1.45, N = 3SE +/- 2.52, N = 37795111. (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 7713 2PEPYC 7713246810SE +/- 0.024, N = 3SE +/- 0.010, N = 38.2155.1301. (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 7713 2PEPYC 7713306090120150SE +/- 0.11, N = 3SE +/- 0.16, N = 362.13121.001. (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 7713 2PEPYC 7713918273645SE +/- 0.11, N = 3SE +/- 0.01, N = 337.1019.111. (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 7713 2PEPYC 77130.50851.0171.52552.0342.5425SE +/- 0.00, N = 4SE +/- 0.00, N = 32.261.40

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 7713 2PEPYC 77130.50851.0171.52552.0342.5425SE +/- 0.00, N = 4SE +/- 0.00, N = 32.261.41

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 Monitor