gromacs ren

AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS) and AMD Radeon RX 5700 8GB on Pop 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2205196-NE-GROMACSRE12
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May 19 2022
  2 Hours, 2 Minutes
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May 19 2022
  2 Hours, 18 Minutes
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May 19 2022
  2 Hours, 55 Minutes
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gromacs renOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS)AMD Starship/Matisse128GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioDELL P2415QIntel I211 + Intel Wi-Fi 6 AX200Pop 22.045.17.5-76051705-generic (x86_64)GNOME Shell 42.0X Server 1.21.1.34.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.44)1.2.204GCC 11.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionGromacs Ren BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301039- OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)- 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 Retpolines IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCResult OverviewPhoronix Test Suite100%100%100%100%GROMACSRenaissanceTensorFlow Lite

gromacs renrenaissance: Scala Dottyrenaissance: Rand Forestrenaissance: ALS Movie Lensrenaissance: Apache Spark ALSrenaissance: Apache Spark Bayesrenaissance: Savina Reactors.IOrenaissance: Apache Spark PageRankrenaissance: Finagle HTTP Requestsrenaissance: In-Memory Database Shootoutrenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Genetic Algorithm Using Jenetics + Futurestensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2gromacs: MPI CPU - water_GMX50_bareABC897.1831.117573.24063.2929.010727.03264.26388.05885.621301.33326.46265.5556636.852320.84151.903183.5284278.23.675909.0826.817664.34080.6932.710556.83284.46355.95806.321707.33332.26228.1456755.453029.34200.793112.6082936.73.675880.8828.917678.24086.2927.010593.13315.66334.95785.821944.13312.36281.5056976.553490.24326.653162.0286773.93.685OpenBenchmarking.org

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Scala DottyABC2004006008001000SE +/- 4.67, N = 3SE +/- 0.84, N = 3SE +/- 11.19, N = 15897.1909.0880.8MIN: 689.17 / MAX: 1180.85MIN: 706.19 / MAX: 1175.54MIN: 702.8 / MAX: 1205.94
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Scala DottyABC160320480640800Min: 887.77 / Avg: 897.07 / Max: 902.51Min: 907.58 / Avg: 909.02 / Max: 910.5Min: 811.96 / Avg: 880.76 / Max: 914.71

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Random ForestABC2004006008001000SE +/- 6.75, N = 3SE +/- 9.24, N = 3SE +/- 1.90, N = 3831.1826.8828.9MIN: 750.24 / MAX: 1057.61MIN: 715.93 / MAX: 1051.17MIN: 750.6 / MAX: 1043.35
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Random ForestABC150300450600750Min: 821.5 / Avg: 831.1 / Max: 844.12Min: 809.15 / Avg: 826.79 / Max: 840.38Min: 825.1 / Avg: 828.86 / Max: 831.16

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: ALS Movie LensABC4K8K12K16K20KSE +/- 84.62, N = 3SE +/- 137.67, N = 3SE +/- 111.73, N = 317573.217664.317678.2MIN: 17405.26 / MAX: 19448.2MIN: 17427.28 / MAX: 19480.44MIN: 17465.67 / MAX: 19496.03
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: ALS Movie LensABC3K6K9K12K15KMin: 17405.26 / Avg: 17573.17 / Max: 17675.52Min: 17427.28 / Avg: 17664.29 / Max: 17904.15Min: 17465.67 / Avg: 17678.21 / Max: 17844.26

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark ALSABC9001800270036004500SE +/- 19.56, N = 3SE +/- 14.10, N = 3SE +/- 13.05, N = 34063.24080.64086.2MIN: 3892.98 / MAX: 4338.44MIN: 3920.72 / MAX: 4284.67MIN: 3939.4 / MAX: 4291.22
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark ALSABC7001400210028003500Min: 4024.04 / Avg: 4063.17 / Max: 4082.85Min: 4053.9 / Avg: 4080.62 / Max: 4101.79Min: 4060.28 / Avg: 4086.21 / Max: 4101.7

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark BayesABC2004006008001000SE +/- 2.48, N = 3SE +/- 3.30, N = 3SE +/- 3.48, N = 3929.0932.7927.0MIN: 659.98 / MAX: 1115.76MIN: 659.16 / MAX: 1095.43MIN: 656.89 / MAX: 966.82
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark BayesABC160320480640800Min: 924.53 / Avg: 928.98 / Max: 933.09Min: 926.63 / Avg: 932.73 / Max: 937.96Min: 920.49 / Avg: 927 / Max: 932.38

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IOABC2K4K6K8K10KSE +/- 132.43, N = 3SE +/- 135.20, N = 10SE +/- 124.98, N = 1210727.010556.810593.1MIN: 10534.84 / MAX: 16138.09MIN: 9686.04 / MAX: 17405.76MIN: 9808.53 / MAX: 17277.01
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IOABC2K4K6K8K10KMin: 10534.84 / Avg: 10727.01 / Max: 10980.95Min: 9686.04 / Avg: 10556.76 / Max: 11109.35Min: 9808.53 / Avg: 10593.12 / Max: 11268.79

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark PageRankABC7001400210028003500SE +/- 8.01, N = 3SE +/- 44.51, N = 3SE +/- 10.59, N = 33264.23284.43315.6MIN: 2977.66 / MAX: 3407.3MIN: 2976.08 / MAX: 3487.64MIN: 3013.95 / MAX: 3538.2
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark PageRankABC6001200180024003000Min: 3252.33 / Avg: 3264.22 / Max: 3279.46Min: 3229.32 / Avg: 3284.35 / Max: 3372.46Min: 3296.07 / Avg: 3315.56 / Max: 3332.51

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Finagle HTTP RequestsABC14002800420056007000SE +/- 12.49, N = 3SE +/- 39.78, N = 3SE +/- 54.07, N = 36388.06355.96334.9MIN: 6014.77 / MAX: 6583.08MIN: 5962.08 / MAX: 6615.68MIN: 5889.87 / MAX: 6744.07
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Finagle HTTP RequestsABC11002200330044005500Min: 6371.48 / Avg: 6387.96 / Max: 6412.46Min: 6309.47 / Avg: 6355.89 / Max: 6435.05Min: 6259.21 / Avg: 6334.9 / Max: 6439.63

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: In-Memory Database ShootoutABC13002600390052006500SE +/- 29.89, N = 3SE +/- 8.29, N = 3SE +/- 32.15, N = 35885.65806.35785.8MIN: 5435.15 / MAX: 6612.91MIN: 5340.17 / MAX: 6255.88MIN: 5366.86 / MAX: 6431.84
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: In-Memory Database ShootoutABC10002000300040005000Min: 5827.43 / Avg: 5885.6 / Max: 5926.62Min: 5792.36 / Avg: 5806.34 / Max: 5821.04Min: 5752.98 / Avg: 5785.85 / Max: 5850.13

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Akka Unbalanced Cobwebbed TreeABC5K10K15K20K25KSE +/- 283.78, N = 3SE +/- 94.75, N = 3SE +/- 246.85, N = 421301.321707.321944.1MIN: 16814.72 / MAX: 21736.24MIN: 17397.75 / MAX: 21876.4MIN: 17241.95 / MAX: 22531.6
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Akka Unbalanced Cobwebbed TreeABC4K8K12K16K20KMin: 20768.06 / Avg: 21301.34 / Max: 21736.24Min: 21548.68 / Avg: 21707.29 / Max: 21876.4Min: 21378.82 / Avg: 21944.07 / Max: 22531.6

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Genetic Algorithm Using Jenetics + FuturesABC7001400210028003500SE +/- 36.44, N = 3SE +/- 19.65, N = 3SE +/- 8.86, N = 33326.43332.23312.3MIN: 3113.02 / MAX: 3559.11MIN: 3141.44 / MAX: 3499.93MIN: 3085.46 / MAX: 3444.45
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Genetic Algorithm Using Jenetics + FuturesABC6001200180024003000Min: 3255.35 / Avg: 3326.36 / Max: 3376.04Min: 3311.31 / Avg: 3332.18 / Max: 3371.45Min: 3299.25 / Avg: 3312.3 / Max: 3329.2

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. 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.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetABC13002600390052006500SE +/- 67.04, N = 5SE +/- 32.67, N = 3SE +/- 24.88, N = 36265.556228.146281.50
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetABC11002200330044005500Min: 6186.02 / Avg: 6265.55 / Max: 6532.7Min: 6192.08 / Avg: 6228.14 / Max: 6293.36Min: 6232.1 / Avg: 6281.5 / Max: 6311.39

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4ABC12K24K36K48K60KSE +/- 547.53, N = 15SE +/- 509.69, N = 15SE +/- 554.56, N = 1556636.856755.456976.5
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4ABC10K20K30K40K50KMin: 54891.2 / Avg: 56636.83 / Max: 61813.5Min: 55540 / Avg: 56755.44 / Max: 61703.6Min: 55374.6 / Avg: 56976.5 / Max: 62082.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet MobileABC11K22K33K44K55KSE +/- 585.17, N = 3SE +/- 752.62, N = 3SE +/- 645.08, N = 352320.853029.353490.2
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet MobileABC9K18K27K36K45KMin: 51151.8 / Avg: 52320.83 / Max: 52953.1Min: 51527.1 / Avg: 53029.3 / Max: 53863.2Min: 52493.5 / Avg: 53490.17 / Max: 54698

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatABC9001800270036004500SE +/- 15.07, N = 3SE +/- 15.42, N = 3SE +/- 55.64, N = 154151.904200.794326.65
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatABC8001600240032004000Min: 4126.87 / Avg: 4151.9 / Max: 4178.96Min: 4170.16 / Avg: 4200.79 / Max: 4219.16Min: 4182.2 / Avg: 4326.65 / Max: 4789.47

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantABC7001400210028003500SE +/- 32.31, N = 3SE +/- 14.03, N = 3SE +/- 9.83, N = 33183.523112.603162.02
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantABC6001200180024003000Min: 3130.08 / Avg: 3183.52 / Max: 3241.71Min: 3091.01 / Avg: 3112.6 / Max: 3138.93Min: 3142.37 / Avg: 3162.02 / Max: 3172.43

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2ABC20K40K60K80K100KSE +/- 970.79, N = 3SE +/- 296.72, N = 3SE +/- 579.59, N = 384278.282936.786773.9
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2ABC15K30K45K60K75KMin: 82342.2 / Avg: 84278.17 / Max: 85373.9Min: 82539.8 / Avg: 82936.67 / Max: 83517.2Min: 85936.6 / Avg: 86773.93 / Max: 87886.8

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.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareABC0.82911.65822.48733.31644.1455SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 33.6753.6753.6851. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareABC246810Min: 3.67 / Avg: 3.67 / Max: 3.68Min: 3.67 / Avg: 3.68 / Max: 3.68Min: 3.68 / Avg: 3.69 / Max: 3.691. (CXX) g++ options: -O3