Upload README.md with huggingface_hub

README.md

@@ -33,7 +33,8 @@ 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 | 50.012 ms | 9 - 13 MB | FP16 | NPU |  [FastSam-X.tflite](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 49.665 ms | 9 - 14 MB | FP16 | NPU |  [FastSam-X.tflite](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 46.166 ms | 5 - 20 MB | FP16 | NPU |  [FastSam-X.so](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.so) 
 
 
 ## Installation
@@ -94,10 +95,10 @@ python -m qai_hub_models.models.fastsam_x.export
 ```
 Profile Job summary of FastSam-X
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 52.08 ms
-Estimated Peak Memory Range: 8.81-13.15 MB
-Compute Units: NPU (420) | Total (420)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 57.56 ms
+Estimated Peak Memory Range: 4.71-4.71 MB
+Compute Units: NPU (418) | Total (418)
 
 
 ```