Xeon Silver 4216 Perf Debian

Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 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 2008244-NE-XEONSILVE11
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August 24 2020
  30 Minutes
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August 24 2020
  30 Minutes
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August 24 2020
  30 Minutes
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Xeon Silver 4216 Perf DebianOpenBenchmarking.orgPhoronix Test SuiteIntel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads)TYAN S7100AG2NR (V4.02 BIOS)Intel Sky Lake-E DMI3 Registers24GB240GB Corsair Force MP500ASPEEDRealtek ALC8922 x Intel I350Debian 104.19.0-9-amd64 (x86_64)GNOME Shell 3.30.2X ServerGCC 8.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionXeon Silver 4216 Perf Debian BenchmarksSystem Logs- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- itlb_multihit: KVM: Mitigation of Split huge pages + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled

d1d2d3Result OverviewPhoronix Test Suite100%100%100%101%101%TensorFlow LiteNAMDTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteNASNet MobileATPase Simulation - 327,506 AtomsMobilenet FloatMobilenet QuantI.R.VInception V4SqueezeNet

Xeon Silver 4216 Perf Debiannamd: ATPase Simulation - 327,506 Atomstensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2d1d2d31.60781186617266325321413612625113069324024031.60876186642266224321491312636513061624035271.6145018666126626772133281262651306942402937OpenBenchmarking.org

NAMD

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atomsd1d2d30.36330.72661.08991.45321.8165SE +/- 0.00949, N = 3SE +/- 0.00923, N = 3SE +/- 0.00728, N = 31.607811.608761.61450
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atomsd1d2d3246810Min: 1.6 / Avg: 1.61 / Max: 1.63Min: 1.6 / Avg: 1.61 / Max: 1.63Min: 1.6 / Avg: 1.61 / Max: 1.63

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: SqueezeNetd1d2d340K80K120K160K200KSE +/- 46.54, N = 3SE +/- 50.31, N = 3SE +/- 73.37, N = 3186617186642186661
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetd1d2d330K60K90K120K150KMin: 186524 / Avg: 186617 / Max: 186667Min: 186574 / Avg: 186641.67 / Max: 186740Min: 186537 / Avg: 186661.33 / Max: 186791

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4d1d2d3600K1200K1800K2400K3000KSE +/- 929.83, N = 3SE +/- 183.15, N = 3SE +/- 337.16, N = 3266325326622432662677
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4d1d2d3500K1000K1500K2000K2500KMin: 2661620 / Avg: 2663253.33 / Max: 2664840Min: 2661950 / Avg: 2662243.33 / Max: 2662580Min: 2662180 / Avg: 2662676.67 / Max: 2663320

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobiled1d2d350K100K150K200K250KSE +/- 271.05, N = 3SE +/- 328.43, N = 3SE +/- 486.67, N = 3214136214913213328
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobiled1d2d340K80K120K160K200KMin: 213595 / Avg: 214135.67 / Max: 214440Min: 214525 / Avg: 214913 / Max: 215566Min: 212509 / Avg: 213328 / Max: 214193

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Floatd1d2d330K60K90K120K150KSE +/- 64.07, N = 3SE +/- 41.16, N = 3SE +/- 56.89, N = 3126251126365126265
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Floatd1d2d320K40K60K80K100KMin: 126178 / Avg: 126251.33 / Max: 126379Min: 126284 / Avg: 126365.33 / Max: 126417Min: 126204 / Avg: 126265.33 / Max: 126379

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quantd1d2d330K60K90K120K150KSE +/- 45.63, N = 3SE +/- 55.72, N = 3130693130616130694
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quantd1d2d320K40K60K80K100KMin: 130608 / Avg: 130693.33 / Max: 130764Min: 130583 / Avg: 130694 / Max: 130758

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2d1d2d3500K1000K1500K2000K2500KSE +/- 231.54, N = 3SE +/- 821.59, N = 3SE +/- 92.07, N = 3240240324035272402937
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2d1d2d3400K800K1200K1600K2000KMin: 2402020 / Avg: 2402403.33 / Max: 2402820Min: 2402450 / Avg: 2403526.67 / Max: 2405140Min: 2402760 / Avg: 2402936.67 / Max: 2403070