tensorflow-lite_Sep04-2020 Intel Core i7-10875H testing with a Notebook PCX0DX (1.07.05LAM BIOS) and NVIDIA GeForce RTX 2080 Super with Max-Q Design 8GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009046-NE-TENSORFLO17&grw .
tensorflow-lite_Sep04-2020 Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver Compiler File-System Screen Resolution Sep04 Intel Core i7-10875H @ 5.10GHz (8 Cores / 16 Threads) Notebook PCX0DX (1.07.05LAM BIOS) Intel Comet Lake PCH 64GB 1000GB Samsung SSD 970 EVO Plus 1TB + 1000GB Samsung SSD 860 NVIDIA GeForce RTX 2080 Super with Max-Q Design 8GB (300/405MHz) Realtek ALC1220 Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX201 Ubuntu 20.04 5.4.0-42-generic (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 NVIDIA 450.57 GCC 9.3.0 + CUDA 10.2 ext4 1920x1080 OpenBenchmarking.org - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - 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: Not affected
tensorflow-lite_Sep04-2020 tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 Sep04 552642 9296017 566212 440369 433133 8416527 OpenBenchmarking.org
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Sep04 120K 240K 360K 480K 600K SE +/- 50553.40, N = 12 552642
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Sep04 2M 4M 6M 8M 10M SE +/- 1944.41, N = 3 9296017
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Sep04 120K 240K 360K 480K 600K SE +/- 663.88, N = 3 566212
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Sep04 90K 180K 270K 360K 450K SE +/- 533.90, N = 3 440369
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Sep04 90K 180K 270K 360K 450K SE +/- 291.21, N = 3 433133
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Sep04 2M 4M 6M 8M 10M SE +/- 14119.76, N = 3 8416527
Phoronix Test Suite v10.8.4