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.

HTML result view exported from: https://openbenchmarking.org/result/2205196-NE-GROMACSRE12&sro&grt.

gromacs renProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCAMD 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 11.2.0ext43840x2160OpenBenchmarking.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 schedutil (Boost: Enabled) - CPU Microcode: 0x8301039Java Details- OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)Security 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 Retpolines IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

gromacs rengromacs: MPI CPU - water_GMX50_barerenaissance: 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 V2ABC3.675897.1831.117573.24063.2929.010727.03264.26388.05885.621301.33326.46265.5556636.852320.84151.903183.5284278.23.675909.0826.817664.34080.6932.710556.83284.46355.95806.321707.33332.26228.1456755.453029.34200.793112.6082936.73.685880.8828.917678.24086.2927.010593.13315.66334.95785.821944.13312.36281.5056976.553490.24326.653162.0286773.9OpenBenchmarking.org

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

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

Renaissance

Test: Scala Dotty

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

Renaissance

Test: Random Forest

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

Renaissance

Test: ALS Movie Lens

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

Renaissance

Test: Apache Spark ALS

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

Renaissance

Test: Apache Spark Bayes

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

Renaissance

Test: Savina Reactors.IO

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

Renaissance

Test: Apache Spark PageRank

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

Renaissance

Test: Finagle HTTP Requests

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

Renaissance

Test: In-Memory Database Shootout

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

Renaissance

Test: Akka Unbalanced Cobwebbed Tree

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

Renaissance

Test: Genetic Algorithm Using Jenetics + Futures

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

TensorFlow Lite

Model: SqueezeNet

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

TensorFlow Lite

Model: Inception V4

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

TensorFlow Lite

Model: NASNet Mobile

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

TensorFlow Lite

Model: Mobilenet Float

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

TensorFlow Lite

Model: Mobilenet Quant

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

TensorFlow Lite

Model: Inception ResNet V2

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


Phoronix Test Suite v10.8.5