# Sample applications

Source: [https://docs.qualcomm.com/doc/80-70014-54/topic/sample-applications.html](https://docs.qualcomm.com/doc/80-70014-54/topic/sample-applications.html)

The TensorFlow Lite framework provides sample applications that you can use to execute an
            arbitrary TensorFlow Lite model and perform benchmarking.

- **[Download models and sample images](https://docs.qualcomm.com/doc/80-70014-54/topic/download-models-and-sample-images.html)**  

The samples in [Getting started](https://docs.qualcomm.com/doc/80-70014-54/topic/getting-started.html) use the label\_image sample         application provided by the TensorFlow Lite framework, which can run any classification         models (for example, MobileNet v1, v2).
- **[Run a TensorFlow Lite model using an available delegate](https://docs.qualcomm.com/doc/80-70014-54/topic/label-image-tool.html)**  

The TensorFlow Lite open-source framework provides the Label Image tool to execute a         TensorFlow Lite model using an available delegate. The source code for the Label Image tool         is available on the [TensorFlow GitHub repository](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/examples/label_image).
- **[Run QNN delegate using the external delegate interface](https://docs.qualcomm.com/doc/80-70014-54/topic/run-qnn-delegate-using-the-external-delegate-interface.html)**  

The QNN delegate relies on the Qualcomm AI Engine Direct API and its backends to         speed up models on the Adreno GPU and Hexagon Tensor Processor.

Last Published: Jul 12, 2024

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