tensorflow lite AMD EPYC Naples

AMD EPYC 7551 32-Core testing with a GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS) and ASPEED on Debian 10 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 2008231-NE-TENSORFLO46
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Run 1
August 23 2020
  22 Minutes
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August 23 2020
  19 Minutes
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August 23 2020
  19 Minutes
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tensorflow lite AMD EPYC NaplesOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads)GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS)AMD 17h32GBSamsung SSD 960 EVO 500GBASPEEDRealtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10Debian 104.19.0-10-amd64 (x86_64)GCC 8.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionTensorflow Lite AMD EPYC Naples PerformanceSystem Logs- Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8001227- 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

Run 1Run 2Run 3Result OverviewPhoronix Test Suite100%101%101%102%TensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteNASNet MobileInception V4I.R.VMobilenet FloatSqueezeNetMobilenet Quant

tensorflow lite AMD EPYC Naplestensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2Run 1Run 2Run 3101974132798712914160701.564204.21189023101308134930313275961760.764450.61184100101970135377312989361331.564073.31205527OpenBenchmarking.org

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.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 1Run 2Run 320K40K60K80K100KSE +/- 512.84, N = 3SE +/- 584.21, N = 3SE +/- 874.47, N = 3101974101308101970
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 1Run 2Run 320K40K60K80K100KMin: 101074 / Avg: 101974.33 / Max: 102850Min: 100523 / Avg: 101308 / Max: 102450Min: 100544 / Avg: 101970.33 / Max: 103560

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1Run 2Run 3300K600K900K1200K1500KSE +/- 2152.75, N = 3SE +/- 4431.01, N = 3SE +/- 3096.28, N = 3132798713493031353773
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1Run 2Run 3200K400K600K800K1000KMin: 1323960 / Avg: 1327986.67 / Max: 1331320Min: 1342610 / Avg: 1349303.33 / Max: 1357680Min: 1350200 / Avg: 1353773.33 / Max: 1359940

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1Run 2Run 330K60K90K120K150KSE +/- 1829.92, N = 6SE +/- 1020.13, N = 3SE +/- 932.88, N = 3129141132759129893
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1Run 2Run 320K40K60K80K100KMin: 121247 / Avg: 129140.67 / Max: 134259Min: 131054 / Avg: 132759.33 / Max: 134582Min: 128029 / Avg: 129892.67 / Max: 130901

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1Run 2Run 313K26K39K52K65KSE +/- 268.57, N = 3SE +/- 715.27, N = 3SE +/- 330.49, N = 360701.561760.761331.5
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1Run 2Run 311K22K33K44K55KMin: 60320 / Avg: 60701.47 / Max: 61219.7Min: 60817.2 / Avg: 61760.73 / Max: 63163.7Min: 60670.5 / Avg: 61331.47 / Max: 61665.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1Run 2Run 314K28K42K56K70KSE +/- 96.54, N = 3SE +/- 299.92, N = 3SE +/- 51.47, N = 364204.264450.664073.3
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1Run 2Run 311K22K33K44K55KMin: 64014.3 / Avg: 64204.17 / Max: 64329.5Min: 63860.4 / Avg: 64450.6 / Max: 64838.5Min: 63970.4 / Avg: 64073.33 / Max: 64125.9

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1Run 2Run 3300K600K900K1200K1500KSE +/- 9565.47, N = 3SE +/- 2247.87, N = 3SE +/- 13168.81, N = 3118902311841001205527
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1Run 2Run 3200K400K600K800K1000KMin: 1173230 / Avg: 1189023.33 / Max: 1206270Min: 1181380 / Avg: 1184100 / Max: 1188560Min: 1188450 / Avg: 1205526.67 / Max: 1231430