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
- TensorFlow Lite
- ONNX
- Genie SDK (Generative AI runtime on top of Qualcomm® AI Engine Direct SDK)
- Android 11 Red Velvet Cake & Newer, API v30+
- Windows 11
- CPU, GPU, NPU (includes hexagon HTP)
- Snapdragon 8 Elite
- Snapdragon 8 Gen 3
- Snapdragon 8 Gen 2
- Snapdragon 8 Gen 1
- Snapdragon 888/888+
- ... and all other Snapdragon® chipsets supported by the QNN SDK
Weight and activation type required for NPU Acceleration:
- Floating Point: FP16 (All Snapdragon® chipsets with Hexagon® Architecture v69 or newer)
- Integer : INT8 (All Snapdragon® chipsets)
NOTE: These apps will run without NPU acceleration on non-Snapdragon® chipsets.
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Search for your desired OS & app in this folder, or in the app directory at the bottom of this file.
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The README of the selected app will contain build & installation instructions.
Task | Language | Inference API | Special Tags |
---|---|---|---|
ChatApp | Java/C++ | Genie SDK | LLM, GenAI |
Image Classification | Java | TensorFlow Lite | |
Semantic Segmentation | Java | TensorFlow Lite | OpenCV, Live Camera Feed |
Super Resolution | Java | TensorFlow Lite | |
WhisperKit (Speech to Text) | Various | TensorFlow Lite |
Task | Language | Inference API | Special Tags |
---|---|---|---|
ChatApp | C++ | Genie SDK | LLM, GenAI |
Image Classification | C++ | ONNX | OpenCV |
Object Detection | C++ | ONNX | OpenCV |
Super Resolution | C++ | ONNX | OpenCV |
Whisper Speech-to-Text | Python | ONNX |
Tutorial | Topic |
---|---|
LLM on-device deployment | Exporting and deploying Large Language Model (LLM) using Genie SDK |
Qualcomm® AI Hub Apps is licensed under BSD-3. See the LICENSE file.