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.

Software Details

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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 Core
  • i.MX-RT1064: i.MX RT1064 Crossover MCU with Arm® Cortex®-M7 Core
  • i.MX-RT1170: i.MX RT1170 First GHz Crossover MCU with Arm® Cortex®-M7 and Cortex-M4 Cores
  • i.MX-RT1160: i.MX RT1160 Crossover High-Performance MCU with Arm® Cortex®-M7 and Cortex-M4 Cores
  • 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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  • BSP, Drivers and Middleware

    MCUXpresso SDK Builder

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

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Design Resources

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Hardware

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Related Software

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Training

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