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@@ -35,32 +35,32 @@ 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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- | SESR-M5-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.356 ms | 0 - 8 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.975 ms | 0 - 10 MB | INT8 | NPU | [SESR-M5-Quantized.so](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.so) |
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- | SESR-M5-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.07 ms | 0 - 2 MB | INT8 | NPU | [SESR-M5-Quantized.onnx](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.onnx) |
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- | SESR-M5-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.128 ms | 0 - 25 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.71 ms | 0 - 13 MB | INT8 | NPU | [SESR-M5-Quantized.so](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.so) |
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- | SESR-M5-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.803 ms | 0 - 29 MB | INT8 | NPU | [SESR-M5-Quantized.onnx](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.onnx) |
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- | SESR-M5-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.022 ms | 0 - 17 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.747 ms | 0 - 11 MB | INT8 | NPU | Use Export Script |
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- | SESR-M5-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.74 ms | 0 - 20 MB | INT8 | NPU | [SESR-M5-Quantized.onnx](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.onnx) |
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- | SESR-M5-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE | 4.893 ms | 2 - 19 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 3.09 ms | 0 - 7 MB | INT8 | NPU | Use Export Script |
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- | SESR-M5-Quantized | RB5 (Proxy) | QCS8250 Proxy | TFLITE | 20.563 ms | 2 - 10 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.353 ms | 0 - 73 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.682 ms | 0 - 1 MB | INT8 | NPU | Use Export Script |
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- | SESR-M5-Quantized | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.328 ms | 0 - 2 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.685 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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- | SESR-M5-Quantized | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 1.442 ms | 2 - 5 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | SA8775 (Proxy) | SA8775P Proxy | QNN | 0.689 ms | 0 - 1 MB | INT8 | NPU | Use Export Script |
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- | SESR-M5-Quantized | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.353 ms | 0 - 3 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.692 ms | 0 - 1 MB | INT8 | NPU | Use Export Script |
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- | SESR-M5-Quantized | SA8295P ADP | SA8295P | TFLITE | 2.467 ms | 0 - 17 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | SA8295P ADP | SA8295P | QNN | 1.515 ms | 0 - 6 MB | INT8 | NPU | Use Export Script |
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- | SESR-M5-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.842 ms | 0 - 25 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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- | SESR-M5-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.112 ms | 0 - 15 MB | INT8 | NPU | Use Export Script |
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- | SESR-M5-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.801 ms | 0 - 0 MB | INT8 | NPU | Use Export Script |
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- | SESR-M5-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.224 ms | 3 - 3 MB | INT8 | NPU | [SESR-M5-Quantized.onnx](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.onnx) |
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@@ -126,12 +126,72 @@ SESR-M5-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, 8]
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  Total # Ops : 27
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  Compute Unit(s) : NPU (24 ops) CPU (3 ops)
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  ```
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  ## Run demo on a cloud-hosted device
 
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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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+ | SESR-M5-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.36 ms | 0 - 3 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.977 ms | 0 - 10 MB | INT8 | NPU | [SESR-M5-Quantized.so](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.so) |
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+ | SESR-M5-Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 3.084 ms | 0 - 3 MB | INT8 | NPU | [SESR-M5-Quantized.onnx](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.onnx) |
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+ | SESR-M5-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.12 ms | 0 - 26 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.706 ms | 0 - 12 MB | INT8 | NPU | [SESR-M5-Quantized.so](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.so) |
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+ | SESR-M5-Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 2.217 ms | 0 - 74 MB | INT8 | NPU | [SESR-M5-Quantized.onnx](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.onnx) |
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+ | SESR-M5-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.592 ms | 0 - 18 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.728 ms | 0 - 12 MB | INT8 | NPU | Use Export Script |
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+ | SESR-M5-Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 2.049 ms | 0 - 57 MB | INT8 | NPU | [SESR-M5-Quantized.onnx](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.onnx) |
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+ | SESR-M5-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE | 3.602 ms | 2 - 20 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 3.106 ms | 0 - 8 MB | INT8 | NPU | Use Export Script |
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+ | SESR-M5-Quantized | RB5 (Proxy) | QCS8250 Proxy | TFLITE | 21.818 ms | 1 - 4 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.334 ms | 0 - 1 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.689 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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+ | SESR-M5-Quantized | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.35 ms | 0 - 74 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.692 ms | 0 - 1 MB | INT8 | NPU | Use Export Script |
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+ | SESR-M5-Quantized | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 1.329 ms | 0 - 2 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | SA8775 (Proxy) | SA8775P Proxy | QNN | 0.692 ms | 0 - 1 MB | INT8 | NPU | Use Export Script |
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+ | SESR-M5-Quantized | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.362 ms | 0 - 1 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.696 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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+ | SESR-M5-Quantized | SA8295P ADP | SA8295P | TFLITE | 2.612 ms | 2 - 19 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | SA8295P ADP | SA8295P | QNN | 1.545 ms | 0 - 6 MB | INT8 | NPU | Use Export Script |
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+ | SESR-M5-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.73 ms | 0 - 26 MB | INT8 | NPU | [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) |
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+ | SESR-M5-Quantized | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.125 ms | 0 - 16 MB | INT8 | NPU | Use Export Script |
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+ | SESR-M5-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.829 ms | 0 - 0 MB | INT8 | NPU | Use Export Script |
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+ | SESR-M5-Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 3.574 ms | 2 - 2 MB | INT8 | NPU | [SESR-M5-Quantized.onnx](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.onnx) |
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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, 3]
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  Total # Ops : 27
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  Compute Unit(s) : NPU (24 ops) CPU (3 ops)
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  ```
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+ ## How does this work?
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+
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+ This [export script](https://aihub.qualcomm.com/models/sesr_m5_quantized/qai_hub_models/models/SESR-M5-Quantized/export.py)
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+ leverages [Qualcomm® AI Hub](https://aihub.qualcomm.com/) to optimize, validate, and deploy this model
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+ on-device. Lets go through each step below in detail:
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+
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+ Step 1: **Compile model for on-device deployment**
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+
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+ To compile a PyTorch model for on-device deployment, we first trace the model
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+ in memory using the `jit.trace` and then call the `submit_compile_job` API.
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+
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+ ```python
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+ import torch
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+
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+ import qai_hub as hub
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+ from qai_hub_models.models.sesr_m5_quantized import
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+
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+ # Load the model
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+
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+ # Device
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+ device = hub.Device("Samsung Galaxy S23")
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+
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+
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+ ```
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+
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+
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+ Step 2: **Performance profiling on cloud-hosted device**
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+
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+ After compiling models from step 1. Models can be profiled model on-device using the
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+ `target_model`. Note that this scripts runs the model on a device automatically
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+ provisioned in the cloud. Once the job is submitted, you can navigate to a
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+ provided job URL to view a variety of on-device performance metrics.
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+ ```python
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+ profile_job = hub.submit_profile_job(
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+ model=target_model,
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+ device=device,
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+ )
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+
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+ ```
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+
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+ Step 3: **Verify on-device accuracy**
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+
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+ To verify the accuracy of the model on-device, you can run on-device inference
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+ on sample input data on the same cloud hosted device.
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+ ```python
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+ input_data = torch_model.sample_inputs()
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+ inference_job = hub.submit_inference_job(
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+ model=target_model,
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+ device=device,
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+ inputs=input_data,
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+ )
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+ on_device_output = inference_job.download_output_data()
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+
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+ ```
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+ With the output of the model, you can compute like PSNR, relative errors or
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+ spot check the output with expected output.
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+
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+ **Note**: This on-device profiling and inference requires access to Qualcomm®
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+ AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
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+
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  ## Run demo on a cloud-hosted device