renaissance-tensorflow-epyc-1

AMD EPYC 7551 32-Core testing with a GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite.

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May 19 2022
  29 Minutes
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May 19 2022
  1 Hour, 28 Minutes
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May 19 2022
  1 Hour, 28 Minutes
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renaissance-tensorflow-epyc-1 OpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads)GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS)AMD 17h8 x 4 GB DDR4-2667MT/s 9ASF51272PZ-2G6E1Samsung SSD 960 EVO 500GB + 31GB SanDisk 3.2Gen1ASPEEDRealtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10Debian 115.10.0-9-amd64 (x86_64)GCC 10.2.1 20210110ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionRenaissance-tensorflow-epyc-1 BenchmarksSystem Logs- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8001227- OpenJDK Runtime Environment (build 11.0.12+7-post-Debian-2)- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

renaissance-tensorflow-epyc-1 renaissance: Scala Dottyrenaissance: Rand Forestrenaissance: ALS Movie Lensrenaissance: Apache Spark ALSrenaissance: Apache Spark Bayesrenaissance: Savina Reactors.IOtensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2AAAB1441.31414.31328.51387.958423.5103098.41275.217612.65726.9471861.851438.55309.116179.2177564.41462.91397.757933.2102444.41289.317685.95839.2271667.357310.24620.066141.1476295.1OpenBenchmarking.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 DottyAAAB30060090012001500SE +/- 21.11, N = 151441.31328.51462.9MIN: 1095.95 / MAX: 2401.44MIN: 1121.56 / MAX: 2187.94MIN: 1133.63 / MAX: 2180.02
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Scala DottyAAAB30060090012001500Min: 1325.83 / Avg: 1441.28 / Max: 1549.38

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Random ForestAAAB30060090012001500SE +/- 7.88, N = 31414.31387.91397.7MIN: 1199.02 / MAX: 1868.75MIN: 1212.94 / MAX: 1739.82MIN: 1206.96 / MAX: 1694.18
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Random ForestAAAB2004006008001000Min: 1399.98 / Avg: 1414.26 / Max: 1427.17

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: ALS Movie LensAAB13K26K39K52K65K58423.557933.2MAX: 65428.91MAX: 65265.19

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark ALSAAB20K40K60K80K100K103098.4102444.4MIN: 101916.49 / MAX: 105111.39MIN: 101796.3 / MAX: 103007.18

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark BayesAAB300600900120015001275.21289.3MIN: 904.2 / MAX: 1299.52MIN: 853.48 / MAX: 1682.54

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IOAAB4K8K12K16K20K17612.617685.9MIN: 17612.56 / MAX: 27146.82MAX: 31154.83

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: SqueezeNetAAB130026003900520065005726.945839.22

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4AAB15K30K45K60K75K71861.871667.3

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet MobileAAB12K24K36K48K60K51438.557310.2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatAAB110022003300440055005309.114620.06

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantAAB130026003900520065006179.216141.14

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2AAB17K34K51K68K85K77564.476295.1