eIQ® for Arm® CMSIS-NN

eIQArmCMSISNN

Arm CMSIS-NN is a collection of efficient neural network kernels used to maximize the performance and minimize the memory footprint of neural networks on Arm® Cortex®-M processor cores. For easy deployment, NXP eIQ integrates CMSIS-NN directly into MCUXpresso SDK, along with all the other Arm CMSIS components. The use of CMSIS-NN requires more manual intervention than TensorFlow Lite, but yields faster performance and small memory footprint, at the expense of a limited set of neural network operators. Therefore, some models are not supported. Arm also provides a conversion script to parse the network topology and automatically determine the appropriate functions to be used.

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eIQ for Arm® CMSIS-NN

eIQ for Arm<sup>®</sup> CMSIS-NN

Features

  • Delivered as middleware in the MCUXpresso SDK
  • Supports i.MX RT applications processors, LPC55S69 MCUs, and Cortex-M based devices
  • Developed by Arm to provide neural network support for Cortex-M4 and Cortex-M7 cores
  • Faster and smaller than TF Lite because CMSIS-NN development flow is entirely offline, creating a binary targeting M-class platform
  • Supports a basic set of operations to implement common model layers (e.g, convolution, fully-connected, pooling, activation)
  • Conversion scripts (from Arm) to convert Caffe models into CMSIS-NN API calls

Supported Devices

  • i.MX-RT1050: i.MX RT1050 Crossover MCU with Arm® Cortex®-M7 Core
  • LPC55S6x: High Efficiency Arm® Cortex®-M33-Based Microcontroller Family
  • i.MX-RT1060: i.MX RT1060 Crossover MCU with Arm® Cortex®-M7 Core

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  • BSP, Drivers and Middleware

    MCUXpresso SDK Builder

    EXTERNALRev 1Jan 28, 20211 KBMCUXPRESSO-SDK-EIQ
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Note: For better experience, software downloads are recommended on desktop.

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