arm8-tensorflow-lite
Docker testing on Ubuntu 22.04.4 LTS via the Phoronix Test Suite.


ARMv8 Cortex-A72 - tidssdrmfb - Texas Instruments: 

	Processor: ARMv8 Cortex-A72 (8 Cores), Motherboard: Texas Instruments AM69 SK, Memory: 28GB, Disk: 32GB G1M15L + 32GB SL32G, Graphics: tidssdrmfb, Monitor: 16PM6Q

	OS: Ubuntu 22.04.4 LTS, Kernel: 6.1.46-g5892b80d6b (aarch64), Compiler: GCC 11.4.0, File-System: overlayfs, Screen Resolution: 1920x1080, System Layer: Docker


TensorFlow Lite 2022-05-18
Model: SqueezeNet
Microseconds < Lower Is Better
ARMv8 Cortex-A72 - tidssdrmfb - Texas Instruments . 29038.0 |==================


TensorFlow Lite 2022-05-18
Model: Inception V4
Microseconds < Lower Is Better
ARMv8 Cortex-A72 - tidssdrmfb - Texas Instruments . 436905 |===================


TensorFlow Lite 2022-05-18
Model: NASNet Mobile
Microseconds < Lower Is Better
ARMv8 Cortex-A72 - tidssdrmfb - Texas Instruments . 65284.5 |==================


TensorFlow Lite 2022-05-18
Model: Mobilenet Float
Microseconds < Lower Is Better
ARMv8 Cortex-A72 - tidssdrmfb - Texas Instruments . 24568.5 |==================


TensorFlow Lite 2022-05-18
Model: Mobilenet Quant
Microseconds < Lower Is Better
ARMv8 Cortex-A72 - tidssdrmfb - Texas Instruments . 11713.0 |==================


TensorFlow Lite 2022-05-18
Model: Inception ResNet V2
Microseconds < Lower Is Better
ARMv8 Cortex-A72 - tidssdrmfb - Texas Instruments . 395575 |===================