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@@ -34,29 +34,31 @@ 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 | 2.405 ms | 4 - 8 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 | 2.097 ms | 0 - 28 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 | 2.731 ms | 0 - 1 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 | 1.691 ms | 0 - 31 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 | 1.501 ms | 0 - 14 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 | 2.169 ms | 0 - 34 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 | 1.451 ms | 0 - 16 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 | 1.577 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 2.287 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.onnx) |
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- | QuickSRNetLarge | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 2.397 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 | 2.181 ms | 0 - 5 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 2.431 ms | 0 - 91 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | SA8255 (Proxy) | SA8255P Proxy | QNN | 2.204 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 2.453 ms | 0 - 17 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | SA8775 (Proxy) | SA8775P Proxy | QNN | 2.229 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 2.419 ms | 4 - 25 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | SA8650 (Proxy) | SA8650P Proxy | QNN | 2.201 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | SA8295P ADP | SA8295P | TFLITE | 4.985 ms | 6 - 21 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | SA8295P ADP | SA8295P | QNN | 4.04 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 4.143 ms | 6 - 38 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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- | QuickSRNetLarge | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 3.48 ms | 0 - 13 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.438 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetLarge | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.741 ms | 9 - 9 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.onnx) |
 
 
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@@ -121,7 +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) : 2.4
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- Estimated peak memory usage (MB): [4, 8]
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  Total # Ops : 31
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  Compute Unit(s) : NPU (28 ops) CPU (3 ops)
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  ```
@@ -142,13 +144,29 @@ in memory using the `jit.trace` and then call the `submit_compile_job` API.
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  import torch
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  import qai_hub as hub
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- from qai_hub_models.models.quicksrnetlarge import
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  # Load the model
 
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  # Device
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  device = hub.Device("Samsung Galaxy S23")
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  ```
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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 | 2.43 ms | 0 - 5 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 | 2.115 ms | 0 - 73 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 | 2.745 ms | 0 - 2 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 | 1.733 ms | 0 - 12 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 | 1.498 ms | 0 - 11 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 | 2.181 ms | 0 - 34 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 | 1.986 ms | 0 - 11 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 | 1.329 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 2.285 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.onnx) |
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+ | QuickSRNetLarge | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 2.448 ms | 0 - 4 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 2.199 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | SA7255P ADP | SA7255P | TFLITE | 90.98 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 | 87.671 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 2.46 ms | 3 - 8 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | SA8255 (Proxy) | SA8255P Proxy | QNN | 2.19 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | SA8295P ADP | SA8295P | TFLITE | 4.719 ms | 6 - 15 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | SA8295P ADP | SA8295P | QNN | 4.824 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 2.445 ms | 0 - 62 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | SA8650 (Proxy) | SA8650P Proxy | QNN | 2.224 ms | 0 - 4 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | SA8775P ADP | SA8775P | TFLITE | 5.227 ms | 6 - 15 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | SA8775P ADP | SA8775P | QNN | 5.025 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 4.453 ms | 6 - 20 MB | FP16 | NPU | [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) |
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+ | QuickSRNetLarge | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 3.448 ms | 0 - 15 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.426 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetLarge | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.704 ms | 9 - 9 MB | FP16 | NPU | [QuickSRNetLarge.onnx](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.onnx) |
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 2.4
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+ Estimated peak memory usage (MB): [0, 5]
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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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  import torch
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  import qai_hub as hub
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+ from qai_hub_models.models.quicksrnetlarge import Model
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  # Load the 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()
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+ sample_inputs = torch_model.sample_inputs()
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+
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+ pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])
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+
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+ # Compile model on a specific device
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+ compile_job = hub.submit_compile_job(
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+ model=pt_model,
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+ device=device,
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+ input_specs=torch_model.get_input_spec(),
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+ )
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+
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+ # Get target model to run on-device
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+ target_model = compile_job.get_target_model()
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  ```
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