# Deploy LiteRT as a Native application

You can run LiteRT models using a sample LiteRT application called
`label_image`, which is a part of the TensorFlow repository. The
`label_image` sample application and the LiteRT library are cross-compiled
and installed on the target device.

The `label_image` sample application does the following:

1. Loads a classification LiteRT model.
2. Performs inference on an image using a delegate to speed up the model
on the Qualcomm hardware.
3. Runs inference using either of the following delegates.

    To run the model on the Arm^®^ CPU using the XNNPACK delegate:

label_image -l /etc/artifacts/labels.txt \
                    -i /etc/artifacts/grace_hopper.bmp \
                    -m /etc/artifacts/mobilenet_v1_1.0_224_quant.tflite \
                    -c 10 \
                    -p 1 \
                    --xnnpack_delegate 1
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    To run the model on the Adreno GPU using the GPU delegate:

label_image -l /etc/artifacts/labels.txt \
                    -i /etc/artifacts/grace_hopper.bmp \
                    -m /etc/artifacts/mobilenet_v1_1.0_224.tflite \
                    -c 10 \
                    -p 1 \
                    --gl_backend 1
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Last Published: Jun 23, 2026

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