AMD EPYC 7713 Sched Core Git Performance

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Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2203021-NE-AMDEPYC7774
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EPYC 7713 1P: Linux 5.17 Git
February 28 2022
  7 Hours, 39 Minutes
EPYC 7713 1P: sched-core Git
February 28 2022
  7 Hours, 43 Minutes
EPYC 7713 2P: Linux 5.17 Git
March 01 2022
  14 Hours, 24 Minutes
EPYC 7713 2P: sched-core Git
March 01 2022
  13 Hours, 11 Minutes
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  10 Hours, 44 Minutes

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ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC 7713 1PEPYC 7713 2P Linux 5.17 Git sched-core Git Linux 5.17 Git sched-core GitAMD EPYC 7713 64-Core @ 2.00GHz (64 Cores / 128 Threads)ASRockRack ROME2D16-2T (P3.10 BIOS)AMD Starship/Matisse64GB1000GB Western Digital WD_BLACK SN850 1TBASPEEDAMD Starship/MatisseVE2282 x Intel 10G X550TUbuntu 21.105.17.0-051700rc4daily20220219-generic (x86_64)GNOME Shell 40.5X Server1.1.182GCC 11.2.0ext41920x10805.17.0-rc1-sched-core-phx (x86_64)2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads)128GB5.17.0-051700rc4daily20220219-generic (x86_64)5.17.0-rc1-sched-core-phx (x86_64)OpenBenchmarking.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-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/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 schedutil (Boost: Enabled) - CPU Microcode: 0xa001114Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected Python Details- EPYC 7713 1P: sched-core Git, EPYC 7713 2P: Linux 5.17 Git, EPYC 7713 2P: sched-core Git: Python 3.9.7

npb: EP.Cnpb: IS.Dnamd: ATPase Simulation - 327,506 Atomsmrbayes: Primate Phylogeny Analysisluxcorerender: DLSC - CPUluxcorerender: Danish Mood - CPUaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 1080psvt-av1: Preset 10 - Bosphorus 4Kcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddinggromacs: MPI CPU - water_GMX50_baredaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagedaphne: OpenMP - Euclidean Clustertensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quantmysqlslap: 16mysqlslap: 32mysqlslap: 64mysqlslap: 128mysqlslap: 256mysqlslap: 512mysqlslap: 1024pgbench: 100 - 50 - Read Onlypgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 50 - Read Writepgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 500 - Read Write - Average Latencyhpcg: amg: pennant: sedovbigpennant: leblancbigincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionopenfoam: Motorbike 30Mopenfoam: Motorbike 60Mmt-dgemm: Sustained Floating-Point Rategpaw: Carbon Nanotubeaskap: tConvolve MT - Griddingaskap: tConvolve MT - DegriddingEPYC 7713 1PEPYC 7713 2P Linux 5.17 Git sched-core Git Linux 5.17 Git sched-core Git4283.371935.360.45630146.1998.276.0234.1648.5149.8779.02102.76115.28151.73530308933514827.114269.7449924.828111.624.5051005.6312894.326402275993.3451573.566474631319.534191.9301224339724704004254628207080.06110549200.09513470710.186430351.16314017610.357525611.903338067.6234841110.45012.517469593906711.072276.5426226.5614282331.187400221.31291.4819.29932685.6094539.461915.460.45406137.0358.246.1233.8847.8850.3377.97103.86116.14151.10030690333482627.201272.37910033.188189.094.5241013.0113112.927370353994.2551403.267128730292.534507.0303624619714654024294598291530.06010671700.09412311120.203434681.15012636920.396536981.862435545.8774063912.62911.2917669642760010.789146.0371716.5653319430.951163021.20290.9319.87726185.4868466.203537.130.26743148.93812.977.6529.7042.9344.6568.1789.81102.21143.10044804162279619.587161.1773803.663715.368.428744.606969.89885.6353687.855391353864.149285.52819162773133028429729810182480.04915016160.06722097560.113366601.36421819880.229406892.483385206.5932550222.19324.341513928196675.6170573.6021053.3100324512.971320813.65113.8532.27381550.5955681.565936.168480.283484.240.26503139.84512.487.4829.7441.7642.8769.9493.12104.41144.54645365259860219.569158.8603709.513672.848.359740.217465.90881.3150805.555474855330.546838.32574167571334629029829310433030.04814732470.06820561340.122301361.65921627760.231380352.652392456.4263531114.26028.889013902930005.5389953.7378013.3323189412.725100513.97113.8932.11607950.6336073.589126.85OpenBenchmarking.org

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CLinux 5.17 Gitsched-core Git2K4K6K8K10KSE +/- 44.61, N = 3SE +/- 44.21, N = 15SE +/- 80.41, N = 3SE +/- 23.85, N = 34283.374539.468466.208480.281. (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 4.1.0

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DLinux 5.17 Gitsched-core Git8001600240032004000SE +/- 0.89, N = 3SE +/- 4.44, N = 3SE +/- 24.40, N = 13SE +/- 41.75, N = 31935.361915.463537.133484.241. (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 4.1.0

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.17 Gitsched-core Git0.10270.20540.30810.41080.5135SE +/- 0.00029, N = 3SE +/- 0.00055, N = 3SE +/- 0.00262, N = 3SE +/- 0.00188, N = 30.456300.454060.267430.26503

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisLinux 5.17 Gitsched-core Git306090120150SE +/- 0.58, N = 3SE +/- 0.52, N = 3SE +/- 1.23, N = 3SE +/- 0.81, N = 3146.20137.04148.94139.851. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPULinux 5.17 Gitsched-core Git3691215SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.22, N = 15SE +/- 0.10, N = 38.278.2412.9712.48

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPULinux 5.17 Gitsched-core Git246810SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 15SE +/- 0.12, N = 126.026.127.657.48

AOM AV1

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KLinux 5.17 Gitsched-core Git816243240SE +/- 0.42, N = 3SE +/- 0.37, N = 15SE +/- 0.49, N = 15SE +/- 0.46, N = 1534.1633.8829.7029.741. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KLinux 5.17 Gitsched-core Git1122334455SE +/- 0.69, N = 3SE +/- 0.35, N = 15SE +/- 0.18, N = 3SE +/- 0.48, N = 1548.5147.8842.9341.761. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KLinux 5.17 Gitsched-core Git1122334455SE +/- 0.39, N = 3SE +/- 0.33, N = 14SE +/- 0.32, N = 3SE +/- 0.23, N = 349.8750.3344.6542.871. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pLinux 5.17 Gitsched-core Git20406080100SE +/- 0.63, N = 3SE +/- 0.11, N = 3SE +/- 0.61, N = 15SE +/- 0.73, N = 1579.0277.9768.1769.941. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pLinux 5.17 Gitsched-core Git20406080100SE +/- 0.47, N = 3SE +/- 0.53, N = 3SE +/- 0.24, N = 3SE +/- 0.99, N = 15102.76103.8689.8193.121. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.3Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080pLinux 5.17 Gitsched-core Git306090120150SE +/- 1.01, N = 15SE +/- 0.98, N = 3SE +/- 1.53, N = 15SE +/- 1.28, N = 3115.28116.14102.21104.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.9Encoder Mode: Preset 10 - Input: Bosphorus 4KLinux 5.17 Gitsched-core Git306090120150SE +/- 2.20, N = 12SE +/- 2.95, N = 12SE +/- 4.56, N = 12SE +/- 4.14, N = 12151.74151.10143.10144.551. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 21.06Test: Compression RatingLinux 5.17 Gitsched-core Git100K200K300K400K500KSE +/- 1322.87, N = 3SE +/- 573.62, N = 3SE +/- 1823.16, N = 3SE +/- 5131.89, N = 33030893069034480414536521. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 21.06Test: Decompression RatingLinux 5.17 Gitsched-core Git130K260K390K520K650KSE +/- 76.53, N = 3SE +/- 168.40, N = 3SE +/- 3455.14, N = 3SE +/- 7041.04, N = 33351483348266227965986021. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.16Build: defconfigLinux 5.17 Gitsched-core Git612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 327.1127.2019.5919.57

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.16Build: allmodconfigLinux 5.17 Gitsched-core Git60120180240300SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.29, N = 3SE +/- 0.29, N = 3269.74272.38161.18158.86

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingLinux 5.17 Gitsched-core Git2K4K6K8K10KSE +/- 161.83, N = 12SE +/- 123.77, N = 15SE +/- 0.00, N = 3SE +/- 27.85, N = 119924.8210033.183803.663709.511. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingLinux 5.17 Gitsched-core Git2K4K6K8K10KSE +/- 41.25, N = 12SE +/- 53.89, N = 15SE +/- 17.36, N = 3SE +/- 13.40, N = 88111.628189.093715.363672.841. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareLinux 5.17 Gitsched-core Git246810SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.009, N = 3SE +/- 0.011, N = 34.5054.5248.4288.3591. (CXX) g++ options: -O3

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingLinux 5.17 Gitsched-core Git2004006008001000SE +/- 3.31, N = 3SE +/- 9.99, N = 3SE +/- 9.56, N = 15SE +/- 4.96, N = 151005.631013.01744.60740.211. (CXX) g++ options: -O3 -std=c++11 -fopenmp

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageLinux 5.17 Gitsched-core Git3K6K9K12K15KSE +/- 169.25, N = 15SE +/- 156.18, N = 15SE +/- 89.17, N = 3SE +/- 84.27, N = 1212894.3313112.936969.897465.901. (CXX) g++ options: -O3 -std=c++11 -fopenmp

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterLinux 5.17 Gitsched-core Git2004006008001000SE +/- 0.11, N = 3SE +/- 0.76, N = 3SE +/- 3.86, N = 3SE +/- 6.25, N = 3993.34994.25885.63881.311. (CXX) g++ options: -O3 -std=c++11 -fopenmp

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.17 Gitsched-core Git11K22K33K44K55KSE +/- 67.55, N = 3SE +/- 31.97, N = 3SE +/- 359.30, N = 3SE +/- 920.15, N = 1551573.551403.253687.850805.5

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.17 Gitsched-core Git140K280K420K560K700KSE +/- 6959.52, N = 3SE +/- 5113.75, N = 10SE +/- 6862.18, N = 15SE +/- 6573.93, N = 15664746671287553913554748

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.17 Gitsched-core Git12K24K36K48K60KSE +/- 346.20, N = 3SE +/- 205.28, N = 3SE +/- 935.86, N = 15SE +/- 803.95, N = 1531319.530292.553864.155330.5

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.17 Gitsched-core Git11K22K33K44K55KSE +/- 288.33, N = 3SE +/- 240.00, N = 3SE +/- 873.26, N = 15SE +/- 1696.95, N = 1234191.934507.049285.546838.3

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 16Linux 5.17 Gitsched-core Git7001400210028003500SE +/- 10.48, N = 3SE +/- 3.07, N = 3SE +/- 24.77, N = 8SE +/- 34.88, N = 330123036281925741. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 32Linux 5.17 Gitsched-core Git5001000150020002500SE +/- 0.00, N = 3SE +/- 7.30, N = 3SE +/- 21.38, N = 12SE +/- 27.47, N = 1224332461162716751. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 64Linux 5.17 Gitsched-core Git2004006008001000SE +/- 0.63, N = 3SE +/- 4.10, N = 3SE +/- 9.68, N = 9SE +/- 12.15, N = 99729717317131. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 128Linux 5.17 Gitsched-core Git100200300400500SE +/- 1.02, N = 3SE +/- 0.57, N = 3SE +/- 4.62, N = 3SE +/- 3.26, N = 74704653303461. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 256Linux 5.17 Gitsched-core Git90180270360450SE +/- 2.76, N = 3SE +/- 0.51, N = 3SE +/- 2.48, N = 9SE +/- 3.13, N = 34004022842901. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 512Linux 5.17 Gitsched-core Git90180270360450SE +/- 1.50, N = 3SE +/- 1.45, N = 3SE +/- 1.21, N = 3SE +/- 2.83, N = 64254292972981. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 1024Linux 5.17 Gitsched-core Git100200300400500SE +/- 2.20, N = 3SE +/- 0.86, N = 3SE +/- 1.98, N = 3SE +/- 3.13, N = 34624592982931. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 50 - Mode: Read OnlyLinux 5.17 Gitsched-core Git200K400K600K800K1000KSE +/- 1882.55, N = 3SE +/- 7309.39, N = 3SE +/- 4378.18, N = 3SE +/- 6071.57, N = 3820708829153101824810433031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average LatencyLinux 5.17 Gitsched-core Git0.01370.02740.04110.05480.0685SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0610.0600.0490.0481. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyLinux 5.17 Gitsched-core Git300K600K900K1200K1500KSE +/- 812.94, N = 3SE +/- 5251.41, N = 3SE +/- 4127.25, N = 3SE +/- 4263.15, N = 310549201067170150161614732471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyLinux 5.17 Gitsched-core Git0.02140.04280.06420.08560.107SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0950.0940.0670.0681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyLinux 5.17 Gitsched-core Git500K1000K1500K2000K2500KSE +/- 2420.47, N = 3SE +/- 2538.35, N = 3SE +/- 21322.59, N = 3SE +/- 16963.29, N = 313470711231112220975620561341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyLinux 5.17 Gitsched-core Git0.04570.09140.13710.18280.2285SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1860.2030.1130.1221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteLinux 5.17 Gitsched-core Git9K18K27K36K45KSE +/- 517.73, N = 4SE +/- 296.84, N = 3SE +/- 308.49, N = 3SE +/- 317.84, N = 3430354346836660301361. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average LatencyLinux 5.17 Gitsched-core Git0.37330.74661.11991.49321.8665SE +/- 0.014, N = 4SE +/- 0.008, N = 3SE +/- 0.012, N = 3SE +/- 0.018, N = 31.1631.1501.3641.6591. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read OnlyLinux 5.17 Gitsched-core Git500K1000K1500K2000K2500KSE +/- 2473.69, N = 3SE +/- 6082.11, N = 3SE +/- 16168.42, N = 3SE +/- 27420.34, N = 314017611263692218198821627761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyLinux 5.17 Gitsched-core Git0.08910.17820.26730.35640.4455SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 30.3570.3960.2290.2311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteLinux 5.17 Gitsched-core Git12K24K36K48K60KSE +/- 257.71, N = 3SE +/- 264.40, N = 3SE +/- 1183.43, N = 12SE +/- 1249.05, N = 9525615369840689380351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyLinux 5.17 Gitsched-core Git0.59671.19341.79012.38682.9835SE +/- 0.010, N = 3SE +/- 0.009, N = 3SE +/- 0.078, N = 12SE +/- 0.088, N = 91.9031.8622.4832.6521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteLinux 5.17 Gitsched-core Git9K18K27K36K45KSE +/- 2262.79, N = 11SE +/- 2356.65, N = 9SE +/- 1409.63, N = 12SE +/- 1077.99, N = 12338064355438520392451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyLinux 5.17 Gitsched-core Git246810SE +/- 0.346, N = 11SE +/- 0.319, N = 9SE +/- 0.257, N = 12SE +/- 0.186, N = 127.6235.8776.5936.4261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read WriteLinux 5.17 Gitsched-core Git10K20K30K40K50KSE +/- 1420.16, N = 11SE +/- 1946.82, N = 12SE +/- 3119.05, N = 9SE +/- 848.35, N = 12484114063925502353111. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average LatencyLinux 5.17 Gitsched-core Git510152025SE +/- 0.42, N = 11SE +/- 0.62, N = 12SE +/- 2.78, N = 9SE +/- 0.38, N = 1210.4512.6322.1914.261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Linux 5.17 Gitsched-core Git714212835SE +/- 0.41, N = 6SE +/- 1.01, N = 6SE +/- 2.61, N = 6SE +/- 0.12, N = 312.5211.2924.3428.891. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Linux 5.17 Gitsched-core Git300M600M900M1200M1500MSE +/- 1344528.61, N = 3SE +/- 1344121.88, N = 3SE +/- 3451030.97, N = 3SE +/- 2870312.58, N = 3695939067696427600139281966713902930001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigLinux 5.17 Gitsched-core Git3691215SE +/- 0.135645, N = 3SE +/- 0.039249, N = 3SE +/- 0.047974, N = 3SE +/- 0.023691, N = 311.07227010.7891405.6170575.5389951. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigLinux 5.17 Gitsched-core Git246810SE +/- 0.173227, N = 12SE +/- 0.059927, N = 3SE +/- 0.047253, N = 15SE +/- 0.069379, N = 126.5426226.0371713.6021053.7378011. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionLinux 5.17 Gitsched-core Git246810SE +/- 0.03276132, N = 3SE +/- 0.01953628, N = 3SE +/- 0.04156551, N = 15SE +/- 0.01154750, N = 36.561428236.565331943.310032453.332318941. (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

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionLinux 5.17 Gitsched-core Git714212835SE +/- 0.30, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 1531.1930.9512.9712.731. (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

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MLinux 5.17 Gitsched-core Git510152025SE +/- 0.21, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 321.3121.2013.6513.971. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MLinux 5.17 Gitsched-core Git60120180240300SE +/- 0.33, N = 3SE +/- 0.51, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3291.48290.93113.85113.891. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateLinux 5.17 Gitsched-core Git714212835SE +/- 0.29, N = 15SE +/- 0.22, N = 15SE +/- 0.24, N = 15SE +/- 0.23, N = 1519.3019.8832.2732.121. (CC) gcc options: -O3 -march=native -fopenmp

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

EPYC 7713 1PEPYC 7713 2POpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeLinux 5.17 Gitsched-core Git20406080100SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 385.6185.4950.6050.631. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingLinux 5.17 Gitsched-core Git13002600390052006500SE +/- 74.36, N = 9SE +/- 24.99, N = 35681.566073.581. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingLinux 5.17 Gitsched-core Git2K4K6K8K10KSE +/- 466.68, N = 9SE +/- 458.07, N = 35936.169126.851. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

62 Results Shown

NAS Parallel Benchmarks:
  EP.C
  IS.D
NAMD
Timed MrBayes Analysis
LuxCoreRender:
  DLSC - CPU
  Danish Mood - CPU
AOM AV1:
  Speed 8 Realtime - Bosphorus 4K
  Speed 9 Realtime - Bosphorus 4K
  Speed 10 Realtime - Bosphorus 4K
  Speed 8 Realtime - Bosphorus 1080p
  Speed 9 Realtime - Bosphorus 1080p
  Speed 10 Realtime - Bosphorus 1080p
SVT-AV1
7-Zip Compression:
  Compression Rating
  Decompression Rating
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
ASKAP:
  tConvolve OpenMP - Gridding
  tConvolve OpenMP - Degridding
GROMACS
Darmstadt Automotive Parallel Heterogeneous Suite:
  OpenMP - NDT Mapping
  OpenMP - Points2Image
  OpenMP - Euclidean Cluster
TensorFlow Lite:
  SqueezeNet
  Inception V4
  Mobilenet Float
  Mobilenet Quant
MariaDB:
  16
  32
  64
  128
  256
  512
  1024
PostgreSQL pgbench:
  100 - 50 - Read Only
  100 - 50 - Read Only - Average Latency
  100 - 100 - Read Only
  100 - 100 - Read Only - Average Latency
  100 - 250 - Read Only
  100 - 250 - Read Only - Average Latency
  100 - 50 - Read Write
  100 - 50 - Read Write - Average Latency
  100 - 500 - Read Only
  100 - 500 - Read Only - Average Latency
  100 - 100 - Read Write
  100 - 100 - Read Write - Average Latency
  100 - 250 - Read Write
  100 - 250 - Read Write - Average Latency
  100 - 500 - Read Write
  100 - 500 - Read Write - Average Latency
High Performance Conjugate Gradient
Algebraic Multi-Grid Benchmark
Pennant:
  sedovbig
  leblancbig
Xcompact3d Incompact3d:
  input.i3d 129 Cells Per Direction
  input.i3d 193 Cells Per Direction
OpenFOAM:
  Motorbike 30M
  Motorbike 60M
ACES DGEMM
GPAW
ASKAP:
  tConvolve MT - Gridding
  tConvolve MT - Degridding