QNN LPAI Overview

LPAI (Low Power AI) is a programmable ML engine optimized for low-area, low-power applications. It is optimized for deeply embedded use cases such as:

• Always-on voice use cases on mobile, XR or IoT platforms.

• Voice and music use cases on IoT platforms

• Voice AI use cases such as Automatic Speech Recognition (ASR), Speech Caption, and etc

• Always-on camera use cases on mobile, XR or IoT platforms

• Qualcomm Sensor hubs

This document provides a user-friendly guide to using the QNN LPAI backend for model generation, execution, result analysis and profiling.

QNN LPAI Quick Start Guide

Follow these steps to get started quickly:

1. Setup the environment variables (QNN_SDK_ROOT, PATH, LD_LIBRARY_PATH)

2. Prepare the JSON configuration file

3. QNN LPAI Model Generation.

4. Transfer model and input files to the target device

5. QNN LPAI Execution

6. QNN LPAI Profiling

7. Troubleshooting for QNN LPAI Backends (x86 Simulator, ARM & aDSP)