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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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| Swin-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 11.
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| Swin-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 11.
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| Swin-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 17.
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| Swin-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 8.
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| Swin-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 8.
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| Swin-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 12.
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| Swin-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 7.
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| Swin-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN |
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| Swin-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX |
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| Swin-Tiny | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 11.
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| Swin-Tiny | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 10.
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| Swin-Tiny | SA7255P ADP | SA7255P | TFLITE | 96.
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| Swin-Tiny | SA7255P ADP | SA7255P | QNN | 94.
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| Swin-Tiny | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 11.
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| Swin-Tiny | SA8255 (Proxy) | SA8255P Proxy | QNN | 10.
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| Swin-Tiny | SA8295P ADP | SA8295P | TFLITE | 17.
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| Swin-Tiny | SA8295P ADP | SA8295P | QNN | 15.
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| Swin-Tiny | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 11.
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| Swin-Tiny | SA8650 (Proxy) | SA8650P Proxy | QNN | 10.
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| Swin-Tiny | SA8775P ADP | SA8775P | TFLITE | 16.
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| Swin-Tiny | SA8775P ADP | SA8775P | QNN | 14.
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| Swin-Tiny | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 15.
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| Swin-Tiny | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 15.
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| Swin-Tiny | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 11.
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| Swin-Tiny | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 21.
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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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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 11.9
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Estimated peak memory usage (MB): [0,
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Total # Ops : 837
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Compute Unit(s) : NPU (837 ops)
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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 Swin-Tiny 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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| Swin-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 11.894 ms | 0 - 22 MB | FP16 | NPU | [Swin-Tiny.tflite](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.tflite) |
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| Swin-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 11.959 ms | 0 - 27 MB | FP16 | NPU | [Swin-Tiny.so](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.so) |
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| Swin-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 17.556 ms | 0 - 167 MB | FP16 | NPU | [Swin-Tiny.onnx](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.onnx) |
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| Swin-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 8.14 ms | 0 - 110 MB | FP16 | NPU | [Swin-Tiny.tflite](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.tflite) |
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| Swin-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 8.324 ms | 1 - 107 MB | FP16 | NPU | [Swin-Tiny.so](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.so) |
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| Swin-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 12.03 ms | 1 - 125 MB | FP16 | NPU | [Swin-Tiny.onnx](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.onnx) |
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| Swin-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 7.336 ms | 0 - 109 MB | FP16 | NPU | [Swin-Tiny.tflite](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.tflite) |
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| Swin-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 6.23 ms | 1 - 110 MB | FP16 | NPU | Use Export Script |
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| Swin-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 10.729 ms | 1 - 120 MB | FP16 | NPU | [Swin-Tiny.onnx](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.onnx) |
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| Swin-Tiny | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 11.874 ms | 0 - 26 MB | FP16 | NPU | [Swin-Tiny.tflite](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.tflite) |
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| Swin-Tiny | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 10.66 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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| Swin-Tiny | SA7255P ADP | SA7255P | TFLITE | 96.462 ms | 0 - 107 MB | FP16 | NPU | [Swin-Tiny.tflite](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.tflite) |
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| Swin-Tiny | SA7255P ADP | SA7255P | QNN | 94.183 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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| Swin-Tiny | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 11.844 ms | 0 - 23 MB | FP16 | NPU | [Swin-Tiny.tflite](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.tflite) |
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| Swin-Tiny | SA8255 (Proxy) | SA8255P Proxy | QNN | 10.574 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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| Swin-Tiny | SA8295P ADP | SA8295P | TFLITE | 17.339 ms | 0 - 102 MB | FP16 | NPU | [Swin-Tiny.tflite](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.tflite) |
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| Swin-Tiny | SA8295P ADP | SA8295P | QNN | 15.451 ms | 1 - 15 MB | FP16 | NPU | Use Export Script |
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| Swin-Tiny | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 11.949 ms | 0 - 23 MB | FP16 | NPU | [Swin-Tiny.tflite](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.tflite) |
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| Swin-Tiny | SA8650 (Proxy) | SA8650P Proxy | QNN | 10.728 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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| Swin-Tiny | SA8775P ADP | SA8775P | TFLITE | 16.05 ms | 0 - 107 MB | FP16 | NPU | [Swin-Tiny.tflite](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.tflite) |
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| Swin-Tiny | SA8775P ADP | SA8775P | QNN | 14.615 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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| Swin-Tiny | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 15.431 ms | 0 - 106 MB | FP16 | NPU | [Swin-Tiny.tflite](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.tflite) |
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| Swin-Tiny | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 15.309 ms | 1 - 106 MB | FP16 | NPU | Use Export Script |
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| Swin-Tiny | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 11.261 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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| Swin-Tiny | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 21.24 ms | 59 - 59 MB | FP16 | NPU | [Swin-Tiny.onnx](https://huggingface.co/qualcomm/Swin-Tiny/blob/main/Swin-Tiny.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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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 11.9
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Estimated peak memory usage (MB): [0, 22]
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Total # Ops : 837
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Compute Unit(s) : NPU (837 ops)
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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 Swin-Tiny 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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