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 tflow lite 8565u - Phoronix Test Suite 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.
HTML result view exported from: https://openbenchmarking.org/result/2008237-NE-TFLOWLITE78&export=txt&rdt&gru .
tflow lite 8565u Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Compiler File-System Screen Resolution Queue 1 Queue 2 Queue 3 Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads) Dell 0KTW76 (1.0.0 BIOS) Intel Cannon Point-LP 16GB PC401 NVMe SK hynix 256GB Intel UHD 620 3GB (1150MHz) Realtek ALC3271 Qualcomm Atheros QCA6174 802.11ac Ubuntu 20.04 5.7.0-999-generic (x86_64) 20200530 GNOME Shell 3.36.1 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.0.4 OpenCL 2.1 GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org Processor Details - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 Security Details - 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
tflow lite 8565u tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 Queue 1 Queue 2 Queue 3 740984 10913633 565165 506864 510685 9865297 705558 10467367 539405 484696 488106 9433980 707944 10428733 539811 484976 488270 9433287 OpenBenchmarking.org
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Queue 1 Queue 2 Queue 3 160K 320K 480K 640K 800K SE +/- 8302.55, N = 7 SE +/- 9527.76, N = 4 SE +/- 8026.87, N = 6 740984 705558 707944
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Queue 1 Queue 2 Queue 3 2M 4M 6M 8M 10M SE +/- 5112.51, N = 3 SE +/- 40085.01, N = 3 SE +/- 1484.74, N = 3 10913633 10467367 10428733
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Queue 1 Queue 2 Queue 3 120K 240K 360K 480K 600K SE +/- 3809.97, N = 3 SE +/- 3925.01, N = 3 SE +/- 3825.17, N = 3 565165 539405 539811
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Queue 1 Queue 2 Queue 3 110K 220K 330K 440K 550K SE +/- 3396.82, N = 3 SE +/- 3360.21, N = 3 SE +/- 3379.94, N = 3 506864 484696 484976
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Queue 1 Queue 2 Queue 3 110K 220K 330K 440K 550K SE +/- 3419.33, N = 3 SE +/- 3524.58, N = 3 SE +/- 3487.56, N = 3 510685 488106 488270
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Queue 1 Queue 2 Queue 3 2M 4M 6M 8M 10M SE +/- 2434.89, N = 3 SE +/- 1315.08, N = 3 SE +/- 1474.07, N = 3 9865297 9433980 9433287
Phoronix Test Suite v10.8.4