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.


Sep04: 

	Processor: Intel Core i7-10875H @ 5.10GHz (8 Cores / 16 Threads), Motherboard: Notebook PCX0DX (1.07.05LAM BIOS), Chipset: Intel Comet Lake PCH, Memory: 64GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB + 1000GB Samsung SSD 860, Graphics: NVIDIA GeForce RTX 2080 Super with Max-Q Design 8GB (300/405MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX201

	OS: Ubuntu 20.04, Kernel: 5.4.0-42-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.57, Compiler: GCC 9.3.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1920x1080


TensorFlow Lite 2020-08-23
Model: SqueezeNet
Microseconds < Lower Is Better
Sep04 . 552642 |===============================================================


TensorFlow Lite 2020-08-23
Model: Inception V4
Microseconds < Lower Is Better
Sep04 . 9296017 |==============================================================


TensorFlow Lite 2020-08-23
Model: NASNet Mobile
Microseconds < Lower Is Better
Sep04 . 566212 |===============================================================


TensorFlow Lite 2020-08-23
Model: Mobilenet Float
Microseconds < Lower Is Better
Sep04 . 440369 |===============================================================


TensorFlow Lite 2020-08-23
Model: Mobilenet Quant
Microseconds < Lower Is Better
Sep04 . 433133 |===============================================================


TensorFlow Lite 2020-08-23
Model: Inception ResNet V2
Microseconds < Lower Is Better
Sep04 . 8416527 |==============================================================