The Qualcomm® AI Hub Apps are a collection of sample machine learning apps ready to deploy 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.
- Android 11 Red Velvet Cake & Newer, API v30+
- Windows 11
- CPU, GPU, NPU (includes hexagon HTP)
- Snapdragon 888/888+
- Snapdragon 8 Gen 1
- Snapdragon 8 Gen 2
- Snapdragon 8 Gen 3
- ... 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 |
|---|---|---|---|
| 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 |
|---|---|---|---|
| Image Classification | C++ | ONNX | OpenCV |
| Llama 2 Chat | C++ | ONNX | |
| Object Detection | C++ | ONNX | OpenCV |
| Super Resolution | C++ | ONNX | OpenCV |
| Whisper Speech-to-Text | Python | ONNX |
Qualcomm® AI Hub Apps is licensed under BSD-3. See the LICENSE file.