tflite Core i9 10980XE

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 20.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2008238-FI-TFLITECOR37&grs&sor.

tflite Core i9 10980XEProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionNum 1Num 2Num 3Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads)ASRock X299 Steel Legend (P1.30 BIOS)Intel Sky Lake-E DMI3 Registers32GBSamsung SSD 970 PRO 512GBNVIDIA NV132 11GBRealtek ALC1220ASUS MG28UIntel I219-V + Intel I211Ubuntu 20.105.4.0-42-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.3 Mesa 20.1.2GCC 10.2.0ext43840x2160OpenBenchmarking.orgProcessor Details- Scaling Governor: intel_pstate performance - CPU Microcode: 0x5002f01Security Details- 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

tflite Core i9 10980XEtensorflow-lite: Mobilenet Quanttensorflow-lite: SqueezeNettensorflow-lite: NASNet Mobiletensorflow-lite: Inception V4tensorflow-lite: Inception ResNet V2tensorflow-lite: Mobilenet FloatNum 1Num 2Num 391222.81279591161681851243163842387370.790039.21269631161311848993163878087387.390060.31269741159981849580163859387380.1OpenBenchmarking.org

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantNum 2Num 3Num 120K40K60K80K100KSE +/- 35.59, N = 3SE +/- 34.95, N = 3SE +/- 1175.66, N = 590039.290060.391222.8

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetNum 2Num 3Num 130K60K90K120K150KSE +/- 41.70, N = 3SE +/- 23.60, N = 3SE +/- 918.07, N = 3126963126974127959

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileNum 3Num 2Num 120K40K60K80K100KSE +/- 123.55, N = 3SE +/- 36.98, N = 3SE +/- 142.50, N = 3115998116131116168

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Num 2Num 3Num 1400K800K1200K1600K2000KSE +/- 71.26, N = 3SE +/- 179.26, N = 3SE +/- 1718.93, N = 3184899318495801851243

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Num 1Num 3Num 2400K800K1200K1600K2000KSE +/- 273.03, N = 3SE +/- 282.98, N = 3SE +/- 202.32, N = 3163842316385931638780

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatNum 1Num 3Num 220K40K60K80K100KSE +/- 37.71, N = 3SE +/- 26.48, N = 3SE +/- 39.50, N = 387370.787380.187387.3

Phoronix Test Suite v10.8.4