tflow lite 8565u

Intel Core i7-8565U testing with a Dell 0KTW76 (1.0.0 BIOS) and Intel UHD 620 3GB on Ubuntu 20.04 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 2008237-NE-TFLOWLITE78
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Queue 1
August 23 2020
  33 Minutes
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August 23 2020
  30 Minutes
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August 23 2020
  32 Minutes
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tflow lite 8565uOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)Dell 0KTW76 (1.0.0 BIOS)Intel Cannon Point-LP16GBPC401 NVMe SK hynix 256GBIntel UHD 620 3GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11acUbuntu 20.045.7.0-999-generic (x86_64) 20200530GNOME Shell 3.36.1X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionTflow Lite 8565u BenchmarksSystem Logs- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Queue 1Queue 2Queue 3Result OverviewPhoronix Test Suite100%101%103%104%105%TensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteSqueezeNetNASNet MobileInception V4Mobilenet QuantI.R.VMobilenet Float

tflow lite 8565utensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2Queue 1Queue 2Queue 3740984109136335651655068645106859865297705558104673675394054846964881069433980707944104287335398114849764882709433287OpenBenchmarking.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: SqueezeNetQueue 1Queue 2Queue 3160K320K480K640K800KSE +/- 8302.55, N = 7SE +/- 9527.76, N = 4SE +/- 8026.87, N = 6740984705558707944
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetQueue 1Queue 2Queue 3130K260K390K520K650KMin: 691341 / Avg: 740984.43 / Max: 752139Min: 676979 / Avg: 705558 / Max: 715524Min: 667846 / Avg: 707943.5 / Max: 717423

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Queue 1Queue 2Queue 32M4M6M8M10MSE +/- 5112.51, N = 3SE +/- 40085.01, N = 3SE +/- 1484.74, N = 3109136331046736710428733
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Queue 1Queue 2Queue 32M4M6M8M10MMin: 10903700 / Avg: 10913633.33 / Max: 10920700Min: 10425200 / Avg: 10467366.67 / Max: 10547500Min: 10425800 / Avg: 10428733.33 / Max: 10430600

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileQueue 1Queue 2Queue 3120K240K360K480K600KSE +/- 3809.97, N = 3SE +/- 3925.01, N = 3SE +/- 3825.17, N = 3565165539405539811
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileQueue 1Queue 2Queue 3100K200K300K400K500KMin: 557564 / Avg: 565165.33 / Max: 569427Min: 531556 / Avg: 539405 / Max: 543439Min: 532227 / Avg: 539811.33 / Max: 544472

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatQueue 1Queue 2Queue 3110K220K330K440K550KSE +/- 3396.82, N = 3SE +/- 3360.21, N = 3SE +/- 3379.94, N = 3506864484696484976
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatQueue 1Queue 2Queue 390K180K270K360K450KMin: 500074 / Avg: 506864.33 / Max: 510443Min: 477983 / Avg: 484696 / Max: 488326Min: 478216 / Avg: 484975.67 / Max: 488401

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantQueue 1Queue 2Queue 3110K220K330K440K550KSE +/- 3419.33, N = 3SE +/- 3524.58, N = 3SE +/- 3487.56, N = 3510685488106488270
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantQueue 1Queue 2Queue 390K180K270K360K450KMin: 503848 / Avg: 510685 / Max: 514234Min: 481063 / Avg: 488106.33 / Max: 491876Min: 481298 / Avg: 488270.33 / Max: 491927

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Queue 1Queue 2Queue 32M4M6M8M10MSE +/- 2434.89, N = 3SE +/- 1315.08, N = 3SE +/- 1474.07, N = 3986529794339809433287
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Queue 1Queue 2Queue 32M4M6M8M10MMin: 9861440 / Avg: 9865296.67 / Max: 9869800Min: 9431770 / Avg: 9433980 / Max: 9436320Min: 9430390 / Avg: 9433286.67 / Max: 9435210