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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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- | QuickSRNetLarge | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 2.485 ms | 0 - 6 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 2.114 ms | 0 - 6 MB | FP16 | NPU | [QuickSRNetLarge.so](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.so) |
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- | QuickSRNetLarge | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 2.743 ms | 0 - 7 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.onnx) |
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- | QuickSRNetLarge | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.69 ms | 0 - 26 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 1.494 ms | 0 - 22 MB | FP16 | NPU | [QuickSRNetLarge.so](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.so) |
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- | QuickSRNetLarge | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 2.186 ms | 0 - 26 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.onnx) |
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- | QuickSRNetLarge | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 2.025 ms | 0 - 19 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 1.303 ms | 0 - 17 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 2.325 ms | 0 - 18 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.onnx) |
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- | QuickSRNetLarge | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 2.48 ms | 0 - 6 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 2.214 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | SA7255P ADP | SA7255P | TFLITE | 89.721 ms | 6 - 17 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | SA7255P ADP | SA7255P | QNN | 87.722 ms | 0 - 9 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 2.438 ms | 0 - 5 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | SA8255 (Proxy) | SA8255P Proxy | QNN | 2.227 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | SA8295P ADP | SA8295P | TFLITE | 6.676 ms | 6 - 24 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | SA8295P ADP | SA8295P | QNN | 4.133 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 2.48 ms | 0 - 6 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | SA8650 (Proxy) | SA8650P Proxy | QNN | 2.214 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | SA8775P ADP | SA8775P | TFLITE | 5.237 ms | 6 - 17 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | SA8775P ADP | SA8775P | QNN | 4.943 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 4.428 ms | 4 - 22 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 3.597 ms | 0 - 16 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.431 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.687 ms | 8 - 8 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.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 @@ QuickSRNetLarge
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 2.5
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- Estimated peak memory usage (MB): [0, 6]
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  Total # Ops : 31
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  Compute Unit(s) : NPU (28 ops) CPU (3 ops)
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  ```
@@ -150,7 +150,7 @@ from qai_hub_models.models.quicksrnetlarge 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 QuickSRNetLarge can be found [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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  | 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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+ | QuickSRNetLarge | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 2.45 ms | 0 - 7 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 2.12 ms | 0 - 4 MB | FP16 | NPU | [QuickSRNetLarge.so](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.so) |
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+ | QuickSRNetLarge | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 2.773 ms | 0 - 7 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.onnx) |
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+ | QuickSRNetLarge | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.837 ms | 0 - 21 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 1.505 ms | 0 - 26 MB | FP16 | NPU | [QuickSRNetLarge.so](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.so) |
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+ | QuickSRNetLarge | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 2.154 ms | 0 - 30 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.onnx) |
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+ | QuickSRNetLarge | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.91 ms | 0 - 18 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 1.251 ms | 0 - 16 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 2.309 ms | 0 - 17 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.onnx) |
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+ | QuickSRNetLarge | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 2.408 ms | 0 - 6 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 2.204 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | SA7255P ADP | SA7255P | TFLITE | 89.794 ms | 2 - 13 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | SA7255P ADP | SA7255P | QNN | 87.605 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 2.518 ms | 0 - 6 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | SA8255 (Proxy) | SA8255P Proxy | QNN | 2.213 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | SA8295P ADP | SA8295P | TFLITE | 4.708 ms | 6 - 23 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | SA8295P ADP | SA8295P | QNN | 4.574 ms | 0 - 15 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 2.567 ms | 0 - 6 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | SA8650 (Proxy) | SA8650P Proxy | QNN | 2.206 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | SA8775P ADP | SA8775P | TFLITE | 5.22 ms | 6 - 18 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | SA8775P ADP | SA8775P | QNN | 4.967 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 4.462 ms | 6 - 28 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 3.573 ms | 0 - 22 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.427 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.683 ms | 9 - 9 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.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) : 2.5
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+ Estimated peak memory usage (MB): [0, 7]
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  Total # Ops : 31
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  Compute Unit(s) : NPU (28 ops) CPU (3 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 QuickSRNetLarge 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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