eIQ® Inference with TensorFlow™ Lite Micro

EIQ-TFLITE-MICRO

The eIQ inference with TensorFlow™ Lite for Microcontrollers (TF Micro) is optimized for running machine learning models on resource constrained devices, including NXP's i.MX RT crossover MCUs.

Faster and smaller than the traditional TensorFlow Lite open source platform for machine learning, this TF Micro implementation enables inferencing at the edge with lower latency and smaller binary size.

Diagram

eIQ® TensorFlow Lite for MCUs

eIQ<sup>&reg;</sup> TensorFlow Lite for MCUs
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Features

  • Delivered as middleware in NXP MCUXpresso SDK
  • Optimized for running machine learning models on i.MX RT crossover MCUs
  • Provides the ability to run inferencing on Arm® Cortex®-M
  • Enables inference at the edge with lower latency and smaller binary size

Supported Devices

  • i.MX-RT1050: i.MX RT1050 Crossover MCU with Arm® Cortex®-M7 Core
  • i.MX-RT1060: i.MX RT1060: Crossover MCU with Arm® Cortex®-M7
  • i.MX-RT1064: i.MX RT1064: Crossover MCU with Arm® Cortex®-M7
  • i.MX-RT1170: i.MX RT1170: 1 GHz Crossover MCU with Arm® Cortex® Cores
  • i.MX-RT1160: i.MX RT1160 Crossover MCU Dual-Core Arm® Cortex®-M7 and Cortex-M4
  • i.MX-RT600: i.MX RT600 Crossover MCU with Arm® Cortex®-M33 and DSP Cores
  • i.MX-RT500: i.MX RT500 Crossover MCU with Arm® Cortex®-M33, DSP and GPU Cores

Downloads

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  • Examples and Quick Start Software

    MCUXpresso SDK Builder

    EXTERNALRev 1Jan 28, 2021 02:41:001 KBMCUXPRESSO-SDK-EIQ
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Hardware

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Training

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