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README.md

Qualcomm® AI Hub Apps

The Qualcomm® AI Hub Apps are a collection of sample apps and tutorials to help deploy machine learning models on Qualcomm® devices.

Each app is designed to work with one or more models from Qualcomm® AI Hub Models.

With this repository, you can...

  • Explore apps optimized for on-device deployment of various machine learning tasks.
  • View open-source app recipes for running Qualcomm® AI Hub Models on local devices.
  • Find tutorials for end-to-end workflows.

Overview

Supported runtimes

Supported Deployment Targets

  • Android 11 Red Velvet Cake & Newer, API v30+
  • Windows 11
  • Ubuntu 24.04+

Supported compute units

Chipsets supported for NPU Acceleration

Weight and activation type required for NPU Acceleration:

  • Floating Point: FP16 (All Snapdragon® chipsets with Hexagon® Architecture v69 or newer)
  • Integer : INT8 or INT16 (All Snapdragon® chipsets)

NOTE: Some of these apps will run without NPU acceleration on non-Snapdragon® chipsets.

Getting Started with Apps

  1. Search for your desired OS & app in the tables below.

  2. The README of the selected app will contain build & installation instructions.

Contributors: See CONTRIBUTING.md for dev setup, repo architecture, and how to add new apps.

Android App Directory

TaskLanguageInference APISpecial Tags
ChatAppJava/C++Genie SDKLLM, GenAI
Image ClassificationJavaTensorFlow Lite
Object DetectionJavaTensorFlow LiteOpenCV, Live Camera Feed
Semantic SegmentationJavaTensorFlow LiteOpenCV, Live Camera Feed
Super ResolutionJavaTensorFlow Lite
WhisperKit (Speech to Text)*VariousTensorFlow Lite
GenieX Chat AndroidKotlin/JavaGenieX

Windows App Directory

TaskLanguageInference APISpecial Tags
ChatAppC++Genie SDKLLM, GenAI
Image ClassificationC++ONNXOpenCV
Object DetectionC++ONNXOpenCV
Super ResolutionC++ONNXOpenCV
Whisper Speech-to-TextPythonONNX
Stable Diffusion Image GenerationPythonONNX
GenieX Chat Windows*GoGenieX
SAM3 Segmentation WindowsPythonONNX

Ubuntu App Directory

TaskLanguageInference APISpecial Tags
Hand Gesture RecognitionPythonTensorFlow LiteGStreamer
Posenet Pose EstimationPythonTensorFlow LiteGStreamer
YamNet Audio ClassificationPythonTensorFlow Lite
Portrait SegmentationPythonTensorFlow Lite
Face RecognitionPythonTensorFlow LiteGStreamer
3D Object DetectionPythonTensorFlow LiteGStreamer
Semantic SegmentationPythonTensorFlow LiteGStreamer

* Source available on GitHub; not included in the CLI release.

Tutorials Directory

TutorialTopic
LLM on-device deploymentExporting and deploying Large Language Model (LLM) using Genie SDK
LLM on-device deployment with GenieXRunning and exporting Large Language Models (LLMs) with the GenieX runtime

LICENSE

Qualcomm® AI Hub Apps is licensed under BSD-3. See the LICENSE file.

关于 About

The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
deeplearningdemosinferenceinference-apiinference-enginemachine-learningmachinelearningonnxpytorchqnntensorflow-lite

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Python29.2%
Shell21.7%
Java20.2%
PowerShell11.5%
C++7.7%
Kotlin6.5%
Dockerfile2.9%
Batchfile0.2%
CMake0.1%

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