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QuickSRNetLarge-Quantized

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@@ -35,48 +35,47 @@ 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-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.447 ms | 0 - 6 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.92 ms | 0 - 9 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.so](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.so) |
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- | QuickSRNetLarge-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 16.757 ms | 19 - 27 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.onnx) |
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- | QuickSRNetLarge-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.109 ms | 0 - 27 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.643 ms | 0 - 23 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.so](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.so) |
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- | QuickSRNetLarge-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 13.631 ms | 23 - 49 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.onnx) |
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- | QuickSRNetLarge-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.27 ms | 0 - 19 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.656 ms | 0 - 18 MB | INT8 | NPU | Use Export Script |
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- | QuickSRNetLarge-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 12.817 ms | 23 - 45 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.onnx) |
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- | QuickSRNetLarge-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE | 3.957 ms | 2 - 18 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 3.16 ms | 0 - 15 MB | INT8 | NPU | Use Export Script |
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- | QuickSRNetLarge-Quantized | RB5 (Proxy) | QCS8250 Proxy | TFLITE | 43.371 ms | 2 - 4 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.461 ms | 0 - 7 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.683 ms | 0 - 3 MB | INT8 | NPU | Use Export Script |
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- | QuickSRNetLarge-Quantized | SA7255P ADP | SA7255P | TFLITE | 15.083 ms | 2 - 14 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | SA7255P ADP | SA7255P | QNN | 11.9 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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- | QuickSRNetLarge-Quantized | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.462 ms | 0 - 5 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.683 ms | 0 - 3 MB | INT8 | NPU | Use Export Script |
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- | QuickSRNetLarge-Quantized | SA8295P ADP | SA8295P | TFLITE | 2.902 ms | 2 - 20 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | SA8295P ADP | SA8295P | QNN | 1.656 ms | 0 - 14 MB | INT8 | NPU | Use Export Script |
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- | QuickSRNetLarge-Quantized | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.535 ms | 0 - 6 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.687 ms | 0 - 3 MB | INT8 | NPU | Use Export Script |
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- | QuickSRNetLarge-Quantized | SA8775P ADP | SA8775P | TFLITE | 2.641 ms | 1 - 13 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | SA8775P ADP | SA8775P | QNN | 1.269 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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- | QuickSRNetLarge-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 2.005 ms | 1 - 25 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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- | QuickSRNetLarge-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.102 ms | 0 - 19 MB | INT8 | NPU | Use Export Script |
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- | QuickSRNetLarge-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.808 ms | 0 - 0 MB | INT8 | NPU | Use Export Script |
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- | QuickSRNetLarge-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 16.3 ms | 33 - 33 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.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[quicksrnetlarge_quantized]"
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  ```
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-
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  ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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  Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
@@ -127,7 +126,7 @@ Profiling Results
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  QuickSRNetLarge-Quantized
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 1.4
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  Estimated peak memory usage (MB): [0, 6]
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  Total # Ops : 33
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  Compute Unit(s) : NPU (30 ops) CPU (3 ops)
@@ -155,7 +154,7 @@ from qai_hub_models.models.quicksrnetlarge_quantized 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()
@@ -247,7 +246,8 @@ 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-Quantized 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-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.463 ms | 0 - 6 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.911 ms | 0 - 9 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.so](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.so) |
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+ | QuickSRNetLarge-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 16.592 ms | 25 - 34 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.onnx) |
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+ | QuickSRNetLarge-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.152 ms | 0 - 26 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.641 ms | 0 - 27 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.so](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.so) |
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+ | QuickSRNetLarge-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 14.152 ms | 23 - 49 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.onnx) |
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+ | QuickSRNetLarge-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.338 ms | 0 - 19 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.651 ms | 0 - 18 MB | INT8 | NPU | Use Export Script |
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+ | QuickSRNetLarge-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 13.15 ms | 22 - 44 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.onnx) |
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+ | QuickSRNetLarge-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE | 4.482 ms | 2 - 17 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 3.098 ms | 0 - 12 MB | INT8 | NPU | Use Export Script |
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+ | QuickSRNetLarge-Quantized | RB5 (Proxy) | QCS8250 Proxy | TFLITE | 41.288 ms | 2 - 4 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.462 ms | 0 - 5 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.676 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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+ | QuickSRNetLarge-Quantized | SA7255P ADP | SA7255P | TFLITE | 15.43 ms | 2 - 13 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | SA7255P ADP | SA7255P | QNN | 11.788 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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+ | QuickSRNetLarge-Quantized | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.462 ms | 0 - 6 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.684 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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+ | QuickSRNetLarge-Quantized | SA8295P ADP | SA8295P | TFLITE | 2.943 ms | 0 - 19 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | SA8295P ADP | SA8295P | QNN | 1.651 ms | 0 - 14 MB | INT8 | NPU | Use Export Script |
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+ | QuickSRNetLarge-Quantized | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.462 ms | 0 - 6 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.686 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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+ | QuickSRNetLarge-Quantized | SA8775P ADP | SA8775P | TFLITE | 2.568 ms | 1 - 12 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | SA8775P ADP | SA8775P | QNN | 1.281 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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+ | QuickSRNetLarge-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 2.094 ms | 2 - 20 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) |
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+ | QuickSRNetLarge-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.054 ms | 0 - 18 MB | INT8 | NPU | Use Export Script |
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+ | QuickSRNetLarge-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.836 ms | 0 - 0 MB | INT8 | NPU | Use Export Script |
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+ | QuickSRNetLarge-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 16.265 ms | 33 - 33 MB | INT8 | NPU | [QuickSRNetLarge-Quantized.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.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[quicksrnetlarge-quantized]"
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  ```
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  ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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  Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
 
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  QuickSRNetLarge-Quantized
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 1.5
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  Estimated peak memory usage (MB): [0, 6]
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  Total # Ops : 33
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  Compute Unit(s) : NPU (30 ops) CPU (3 ops)
 
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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-Quantized 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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