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README.md

@@ -35,8 +35,8 @@ More details on model performance across various devices, can be found
 
 | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
 | ---|---|---|---|---|---|---|---|
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.383 ms | 3 - 5 MB | INT8 | NPU |  [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.048 ms | 0 - 10 MB | INT8 | NPU |  [SESR-M5-Quantized.so](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.407 ms | 0 - 15 MB | INT8 | NPU |  [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.972 ms | 0 - 4 MB | INT8 | NPU |  [SESR-M5-Quantized.so](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.so) 
 
 
 
@@ -98,10 +98,10 @@ python -m qai_hub_models.models.sesr_m5_quantized.export
 ```
 Profile Job summary of SESR-M5-Quantized
 --------------------------------------------------
-Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 1.04 ms
-Estimated Peak Memory Range: 0.03-8.62 MB
-Compute Units: NPU (26) | Total (26)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 0.88 ms
+Estimated Peak Memory Range: 0.06-0.06 MB
+Compute Units: NPU (25) | Total (25)
 
 
 ```
@@ -109,6 +109,20 @@ Compute Units: NPU (26) | Total (26)
 
 
 
+## Run demo on a cloud-hosted device
+
+You can also run the demo on-device.
+
+```bash
+python -m qai_hub_models.models.sesr_m5_quantized.demo --on-device
+```
+
+**NOTE**: If you want running in a Jupyter Notebook or Google Colab like
+environment, please add the following to your cell (instead of the above).
+```
+%run -m qai_hub_models.models.sesr_m5_quantized.demo -- --on-device
+```
+
 
 ## Deploying compiled model to Android