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README.md
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| DeepLabV3-Plus-MobileNet-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 4.
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| DeepLabV3-Plus-MobileNet-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 4.
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| DeepLabV3-Plus-MobileNet-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 2.
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| DeepLabV3-Plus-MobileNet-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.
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| DeepLabV3-Plus-MobileNet-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 2.
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| DeepLabV3-Plus-MobileNet-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.
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| DeepLabV3-Plus-MobileNet-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE |
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| DeepLabV3-Plus-MobileNet-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 19.
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| DeepLabV3-Plus-MobileNet-Quantized | RB5 (Proxy) | QCS8250 Proxy | TFLITE |
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| DeepLabV3-Plus-MobileNet-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 4.
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| DeepLabV3-Plus-MobileNet-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 3.
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| DeepLabV3-Plus-MobileNet-Quantized | SA7255P ADP | SA7255P | TFLITE | 54.
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| DeepLabV3-Plus-MobileNet-Quantized | SA7255P ADP | SA7255P | QNN | 55.
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| DeepLabV3-Plus-MobileNet-Quantized | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 4.
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| DeepLabV3-Plus-MobileNet-Quantized | SA8255 (Proxy) | SA8255P Proxy | QNN | 3.
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| DeepLabV3-Plus-MobileNet-Quantized | SA8295P ADP | SA8295P | TFLITE | 6.
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| DeepLabV3-Plus-MobileNet-Quantized | SA8295P ADP | SA8295P | QNN | 6.
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| DeepLabV3-Plus-MobileNet-Quantized | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 4.
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| DeepLabV3-Plus-MobileNet-Quantized | SA8650 (Proxy) | SA8650P Proxy | QNN | 3.
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| DeepLabV3-Plus-MobileNet-Quantized | SA8775P ADP | SA8775P | TFLITE | 5.
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| DeepLabV3-Plus-MobileNet-Quantized | SA8775P ADP | SA8775P | QNN | 5.
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| DeepLabV3-Plus-MobileNet-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 4.
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| DeepLabV3-Plus-MobileNet-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 5.
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| DeepLabV3-Plus-MobileNet-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 4.
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## Installation
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This model can be installed as a Python package via pip.
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```bash
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pip install "qai-hub-models[
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```
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## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
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torch_model = Model.from_pretrained()
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# Device
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device = hub.Device("Samsung Galaxy
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# Trace model
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input_shape = torch_model.get_input_spec()
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## License
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* The license for the original implementation of DeepLabV3-Plus-MobileNet-Quantized can be found
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* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| DeepLabV3-Plus-MobileNet-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 4.15 ms | 0 - 13 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 4.73 ms | 0 - 13 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.so](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.so) |
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| DeepLabV3-Plus-MobileNet-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 2.992 ms | 0 - 40 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.443 ms | 0 - 42 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.so](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.so) |
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| DeepLabV3-Plus-MobileNet-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 2.796 ms | 0 - 37 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.457 ms | 1 - 40 MB | INT8 | NPU | Use Export Script |
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| DeepLabV3-Plus-MobileNet-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE | 18.027 ms | 0 - 41 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 19.768 ms | 1 - 12 MB | INT8 | NPU | Use Export Script |
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| DeepLabV3-Plus-MobileNet-Quantized | RB5 (Proxy) | QCS8250 Proxy | TFLITE | 172.392 ms | 3 - 6 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 4.153 ms | 0 - 10 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 3.912 ms | 1 - 4 MB | INT8 | NPU | Use Export Script |
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| DeepLabV3-Plus-MobileNet-Quantized | SA7255P ADP | SA7255P | TFLITE | 54.84 ms | 0 - 30 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | SA7255P ADP | SA7255P | QNN | 55.192 ms | 1 - 10 MB | INT8 | NPU | Use Export Script |
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| DeepLabV3-Plus-MobileNet-Quantized | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 4.154 ms | 0 - 15 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | SA8255 (Proxy) | SA8255P Proxy | QNN | 3.942 ms | 1 - 3 MB | INT8 | NPU | Use Export Script |
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| DeepLabV3-Plus-MobileNet-Quantized | SA8295P ADP | SA8295P | TFLITE | 6.632 ms | 0 - 37 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | SA8295P ADP | SA8295P | QNN | 6.596 ms | 1 - 15 MB | INT8 | NPU | Use Export Script |
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| DeepLabV3-Plus-MobileNet-Quantized | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 4.184 ms | 0 - 12 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | SA8650 (Proxy) | SA8650P Proxy | QNN | 3.913 ms | 1 - 3 MB | INT8 | NPU | Use Export Script |
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| DeepLabV3-Plus-MobileNet-Quantized | SA8775P ADP | SA8775P | TFLITE | 5.709 ms | 0 - 30 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | SA8775P ADP | SA8775P | QNN | 5.531 ms | 1 - 11 MB | INT8 | NPU | Use Export Script |
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| DeepLabV3-Plus-MobileNet-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 4.831 ms | 0 - 36 MB | INT8 | NPU | [DeepLabV3-Plus-MobileNet-Quantized.tflite](https://huggingface.co/qualcomm/DeepLabV3-Plus-MobileNet-Quantized/blob/main/DeepLabV3-Plus-MobileNet-Quantized.tflite) |
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| DeepLabV3-Plus-MobileNet-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 5.417 ms | 1 - 36 MB | INT8 | NPU | Use Export Script |
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| DeepLabV3-Plus-MobileNet-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 4.313 ms | 1 - 1 MB | INT8 | NPU | Use Export Script |
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## Installation
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Install the package via pip:
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```bash
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pip install "qai-hub-models[deeplabv3-plus-mobilenet-quantized]"
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```
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## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
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torch_model = Model.from_pretrained()
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# Device
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device = hub.Device("Samsung Galaxy S24")
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# Trace model
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input_shape = torch_model.get_input_spec()
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## License
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* The license for the original implementation of DeepLabV3-Plus-MobileNet-Quantized can be found
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[here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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