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@@ -35,39 +35,39 @@ 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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- | WideResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 4.883 ms | 0 - 397 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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- | WideResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 5.702 ms | 1 - 356 MB | FP16 | NPU | [WideResNet50.so](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.so) |
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- | WideResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 5.193 ms | 0 - 287 MB | FP16 | NPU | [WideResNet50.onnx](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.onnx) |
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- | WideResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.612 ms | 0 - 33 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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- | WideResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 4.14 ms | 1 - 32 MB | FP16 | NPU | [WideResNet50.so](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.so) |
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- | WideResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 3.846 ms | 0 - 37 MB | FP16 | NPU | [WideResNet50.onnx](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.onnx) |
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- | WideResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.418 ms | 0 - 31 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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- | WideResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 4.068 ms | 0 - 31 MB | FP16 | NPU | Use Export Script |
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- | WideResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 3.629 ms | 0 - 35 MB | FP16 | NPU | [WideResNet50.onnx](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.onnx) |
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- | WideResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 4.872 ms | 0 - 567 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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- | WideResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 5.039 ms | 1 - 4 MB | FP16 | NPU | Use Export Script |
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- | WideResNet50 | SA7255P ADP | SA7255P | TFLITE | 180.862 ms | 0 - 26 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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- | WideResNet50 | SA7255P ADP | SA7255P | QNN | 184.773 ms | 1 - 9 MB | FP16 | NPU | Use Export Script |
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- | WideResNet50 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 4.878 ms | 0 - 567 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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- | WideResNet50 | SA8255 (Proxy) | SA8255P Proxy | QNN | 5.036 ms | 1 - 4 MB | FP16 | NPU | Use Export Script |
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- | WideResNet50 | SA8295P ADP | SA8295P | TFLITE | 8.237 ms | 0 - 24 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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- | WideResNet50 | SA8295P ADP | SA8295P | QNN | 8.064 ms | 1 - 15 MB | FP16 | NPU | Use Export Script |
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- | WideResNet50 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 4.872 ms | 0 - 557 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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- | WideResNet50 | SA8650 (Proxy) | SA8650P Proxy | QNN | 5.044 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | WideResNet50 | SA8775P ADP | SA8775P | TFLITE | 8.47 ms | 0 - 26 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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- | WideResNet50 | SA8775P ADP | SA8775P | QNN | 8.671 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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- | WideResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 7.102 ms | 0 - 28 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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- | WideResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 7.258 ms | 1 - 29 MB | FP16 | NPU | Use Export Script |
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- | WideResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 4.918 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | WideResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 4.621 ms | 134 - 134 MB | FP16 | NPU | [WideResNet50.onnx](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.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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  ```
@@ -124,7 +124,7 @@ WideResNet50
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 4.9
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- Estimated peak memory usage (MB): [0, 397]
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  Total # Ops : 79
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  Compute Unit(s) : NPU (79 ops)
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  ```
@@ -151,7 +151,7 @@ from qai_hub_models.models.wideresnet50 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()
@@ -243,7 +243,8 @@ 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 WideResNet50 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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+ | WideResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 4.872 ms | 0 - 587 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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+ | WideResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 5.683 ms | 1 - 346 MB | FP16 | NPU | [WideResNet50.so](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.so) |
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+ | WideResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 5.295 ms | 0 - 290 MB | FP16 | NPU | [WideResNet50.onnx](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.onnx) |
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+ | WideResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.656 ms | 0 - 31 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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+ | WideResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 4.212 ms | 0 - 34 MB | FP16 | NPU | [WideResNet50.so](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.so) |
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+ | WideResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 3.764 ms | 0 - 39 MB | FP16 | NPU | [WideResNet50.onnx](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.onnx) |
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+ | WideResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.072 ms | 0 - 31 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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+ | WideResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.991 ms | 1 - 30 MB | FP16 | NPU | Use Export Script |
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+ | WideResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 3.611 ms | 1 - 36 MB | FP16 | NPU | [WideResNet50.onnx](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.onnx) |
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+ | WideResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 4.854 ms | 0 - 587 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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+ | WideResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 5.038 ms | 1 - 4 MB | FP16 | NPU | Use Export Script |
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+ | WideResNet50 | SA7255P ADP | SA7255P | TFLITE | 180.866 ms | 0 - 26 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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+ | WideResNet50 | SA7255P ADP | SA7255P | QNN | 184.7 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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+ | WideResNet50 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 4.909 ms | 2 - 500 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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+ | WideResNet50 | SA8255 (Proxy) | SA8255P Proxy | QNN | 5.04 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | WideResNet50 | SA8295P ADP | SA8295P | TFLITE | 8.21 ms | 0 - 24 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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+ | WideResNet50 | SA8295P ADP | SA8295P | QNN | 7.918 ms | 1 - 15 MB | FP16 | NPU | Use Export Script |
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+ | WideResNet50 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 4.864 ms | 0 - 597 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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+ | WideResNet50 | SA8650 (Proxy) | SA8650P Proxy | QNN | 5.042 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | WideResNet50 | SA8775P ADP | SA8775P | TFLITE | 8.463 ms | 0 - 26 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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+ | WideResNet50 | SA8775P ADP | SA8775P | QNN | 8.644 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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+ | WideResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 7.139 ms | 0 - 31 MB | FP16 | NPU | [WideResNet50.tflite](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.tflite) |
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+ | WideResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 7.242 ms | 1 - 26 MB | FP16 | NPU | Use Export Script |
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+ | WideResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 4.908 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | WideResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 4.668 ms | 133 - 133 MB | FP16 | NPU | [WideResNet50.onnx](https://huggingface.co/qualcomm/WideResNet50/blob/main/WideResNet50.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) : 4.9
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+ Estimated peak memory usage (MB): [0, 587]
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  Total # Ops : 79
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  Compute Unit(s) : NPU (79 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 WideResNet50 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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