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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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| MobileNet-v3-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.815 ms | 0 - 44 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.
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| MobileNet-v3-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 0.
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| MobileNet-v3-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.
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| MobileNet-v3-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.
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| MobileNet-v3-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.
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| MobileNet-v3-Small | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.
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| MobileNet-v3-Small | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.
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| MobileNet-v3-Small | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.
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| MobileNet-v3-Small | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.815 ms | 0 -
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| MobileNet-v3-Small | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.
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| MobileNet-v3-Small | SA7255P ADP | SA7255P | TFLITE | 7.
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| MobileNet-v3-Small | SA7255P ADP | SA7255P | QNN | 7.
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| MobileNet-v3-Small | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.
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| MobileNet-v3-Small | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.
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| MobileNet-v3-Small | SA8295P ADP | SA8295P | TFLITE | 1.
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| MobileNet-v3-Small | SA8295P ADP | SA8295P | QNN |
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| MobileNet-v3-Small | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.
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| MobileNet-v3-Small | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.84 ms | 1 -
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| MobileNet-v3-Small | SA8775P ADP | SA8775P | TFLITE | 1.
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| MobileNet-v3-Small | SA8775P ADP | SA8775P | QNN | 1.
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| MobileNet-v3-Small | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.
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| MobileNet-v3-Small | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.
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| MobileNet-v3-Small | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.
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| MobileNet-v3-Small | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.
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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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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 MobileNet-v3-Small 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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|---|---|---|---|---|---|---|---|---|
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| MobileNet-v3-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.815 ms | 0 - 44 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.856 ms | 0 - 33 MB | FP16 | NPU | [MobileNet-v3-Small.so](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.so) |
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| MobileNet-v3-Small | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 0.817 ms | 0 - 32 MB | FP16 | NPU | [MobileNet-v3-Small.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.onnx) |
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| MobileNet-v3-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.538 ms | 0 - 21 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.573 ms | 0 - 22 MB | FP16 | NPU | [MobileNet-v3-Small.so](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.so) |
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| MobileNet-v3-Small | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.543 ms | 0 - 27 MB | FP16 | NPU | [MobileNet-v3-Small.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.onnx) |
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| MobileNet-v3-Small | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.553 ms | 0 - 19 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.586 ms | 1 - 19 MB | FP16 | NPU | Use Export Script |
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| MobileNet-v3-Small | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.49 ms | 1 - 20 MB | FP16 | NPU | [MobileNet-v3-Small.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.onnx) |
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| MobileNet-v3-Small | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.815 ms | 0 - 43 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.852 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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| MobileNet-v3-Small | SA7255P ADP | SA7255P | TFLITE | 7.671 ms | 0 - 12 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | SA7255P ADP | SA7255P | QNN | 7.553 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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| MobileNet-v3-Small | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.813 ms | 0 - 44 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.841 ms | 1 - 4 MB | FP16 | NPU | Use Export Script |
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| MobileNet-v3-Small | SA8295P ADP | SA8295P | TFLITE | 1.564 ms | 0 - 18 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | SA8295P ADP | SA8295P | QNN | 1.763 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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| MobileNet-v3-Small | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.814 ms | 0 - 4 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.84 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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| MobileNet-v3-Small | SA8775P ADP | SA8775P | TFLITE | 1.368 ms | 0 - 13 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | SA8775P ADP | SA8775P | QNN | 1.524 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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| MobileNet-v3-Small | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.102 ms | 0 - 21 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) |
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| MobileNet-v3-Small | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.159 ms | 0 - 18 MB | FP16 | NPU | Use Export Script |
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| MobileNet-v3-Small | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.959 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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| MobileNet-v3-Small | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.863 ms | 7 - 7 MB | FP16 | NPU | [MobileNet-v3-Small.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.onnx) |
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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
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```
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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 MobileNet-v3-Small can be found
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[here](https://github.com/pytorch/vision/blob/main/LICENSE).
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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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