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Shufflenet-v2

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@@ -34,39 +34,39 @@ More details on model performance across various devices, can be found
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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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- | Shufflenet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.21 ms | 0 - 27 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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- | Shufflenet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.767 ms | 1 - 18 MB | FP16 | NPU | [Shufflenet-v2.so](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.so) |
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- | Shufflenet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.121 ms | 0 - 14 MB | FP16 | NPU | [Shufflenet-v2.onnx](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.onnx) |
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- | Shufflenet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.792 ms | 0 - 20 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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  | Shufflenet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.513 ms | 1 - 22 MB | FP16 | NPU | [Shufflenet-v2.so](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.so) |
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- | Shufflenet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.727 ms | 0 - 26 MB | FP16 | NPU | [Shufflenet-v2.onnx](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.onnx) |
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- | Shufflenet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.815 ms | 0 - 18 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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- | Shufflenet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.416 ms | 0 - 17 MB | FP16 | NPU | Use Export Script |
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- | Shufflenet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.798 ms | 0 - 19 MB | FP16 | NPU | [Shufflenet-v2.onnx](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.onnx) |
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- | Shufflenet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.199 ms | 0 - 16 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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  | Shufflenet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.736 ms | 1 - 4 MB | FP16 | NPU | Use Export Script |
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- | Shufflenet-v2 | SA7255P ADP | SA7255P | TFLITE | 5.149 ms | 0 - 12 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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- | Shufflenet-v2 | SA7255P ADP | SA7255P | QNN | 4.546 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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- | Shufflenet-v2 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.209 ms | 0 - 26 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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- | Shufflenet-v2 | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.741 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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- | Shufflenet-v2 | SA8295P ADP | SA8295P | TFLITE | 1.775 ms | 0 - 17 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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- | Shufflenet-v2 | SA8295P ADP | SA8295P | QNN | 2.05 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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- | Shufflenet-v2 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.208 ms | 0 - 26 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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- | Shufflenet-v2 | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.738 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | Shufflenet-v2 | SA8775P ADP | SA8775P | TFLITE | 1.831 ms | 0 - 12 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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- | Shufflenet-v2 | SA8775P ADP | SA8775P | QNN | 1.372 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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- | Shufflenet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.324 ms | 0 - 22 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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- | Shufflenet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 0.872 ms | 1 - 22 MB | FP16 | NPU | Use Export Script |
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- | Shufflenet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.904 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | Shufflenet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.124 ms | 4 - 4 MB | FP16 | NPU | [Shufflenet-v2.onnx](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.onnx) |
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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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  ```
@@ -123,7 +123,7 @@ Shufflenet-v2
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 1.2
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- Estimated peak memory usage (MB): [0, 27]
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  Total # Ops : 204
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  Compute Unit(s) : NPU (204 ops)
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  ```
@@ -150,7 +150,7 @@ from qai_hub_models.models.shufflenet_v2 import Model
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  torch_model = Model.from_pretrained()
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  # Device
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- device = hub.Device("Samsung Galaxy S23")
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  # Trace model
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  input_shape = torch_model.get_input_spec()
@@ -242,7 +242,8 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
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  ## License
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- * The license for the original implementation of Shufflenet-v2 can be found [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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  | 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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+ | Shufflenet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.209 ms | 0 - 16 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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+ | Shufflenet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.766 ms | 1 - 17 MB | FP16 | NPU | [Shufflenet-v2.so](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.so) |
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+ | Shufflenet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.127 ms | 0 - 12 MB | FP16 | NPU | [Shufflenet-v2.onnx](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.onnx) |
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+ | Shufflenet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.791 ms | 0 - 27 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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  | Shufflenet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.513 ms | 1 - 22 MB | FP16 | NPU | [Shufflenet-v2.so](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.so) |
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+ | Shufflenet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.708 ms | 0 - 25 MB | FP16 | NPU | [Shufflenet-v2.onnx](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.onnx) |
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+ | Shufflenet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.82 ms | 0 - 18 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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+ | Shufflenet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.569 ms | 1 - 18 MB | FP16 | NPU | Use Export Script |
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+ | Shufflenet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.767 ms | 1 - 21 MB | FP16 | NPU | [Shufflenet-v2.onnx](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.onnx) |
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+ | Shufflenet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.203 ms | 0 - 26 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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  | Shufflenet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.736 ms | 1 - 4 MB | FP16 | NPU | Use Export Script |
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+ | Shufflenet-v2 | SA7255P ADP | SA7255P | TFLITE | 4.975 ms | 0 - 11 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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+ | Shufflenet-v2 | SA7255P ADP | SA7255P | QNN | 4.349 ms | 1 - 9 MB | FP16 | NPU | Use Export Script |
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+ | Shufflenet-v2 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.213 ms | 0 - 27 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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+ | Shufflenet-v2 | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.743 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | Shufflenet-v2 | SA8295P ADP | SA8295P | TFLITE | 1.801 ms | 0 - 16 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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+ | Shufflenet-v2 | SA8295P ADP | SA8295P | QNN | 1.925 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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+ | Shufflenet-v2 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.208 ms | 0 - 6 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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+ | Shufflenet-v2 | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.743 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | Shufflenet-v2 | SA8775P ADP | SA8775P | TFLITE | 1.824 ms | 0 - 12 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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+ | Shufflenet-v2 | SA8775P ADP | SA8775P | QNN | 1.349 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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+ | Shufflenet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.327 ms | 0 - 19 MB | FP16 | NPU | [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) |
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+ | Shufflenet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 0.874 ms | 1 - 21 MB | FP16 | NPU | Use Export Script |
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+ | Shufflenet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.9 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | Shufflenet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.134 ms | 5 - 5 MB | FP16 | NPU | [Shufflenet-v2.onnx](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.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) : 1.2
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+ Estimated peak memory usage (MB): [0, 16]
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  Total # Ops : 204
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  Compute Unit(s) : NPU (204 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 Shufflenet-v2 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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