Upload README.md with huggingface_hub

README.md

@@ -37,7 +37,8 @@ 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 | 0.84 ms | 0 - 2 MB | FP16 | NPU |  [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.834 ms | 0 - 2 MB | FP16 | NPU |  [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.866 ms | 0 - 23 MB | FP16 | NPU |  [MobileNet-v3-Small.so](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.so) 
 
 
 ## Installation
@@ -97,10 +98,10 @@ python -m qai_hub_models.models.mobilenet_v3_small.export
 ```
 Profile Job summary of MobileNet-v3-Small
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 0.84 ms
-Estimated Peak Memory Range: 0.01-1.81 MB
-Compute Units: NPU (124) | Total (124)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 1.03 ms
+Estimated Peak Memory Range: 0.57-0.57 MB
+Compute Units: NPU (126) | Total (126)
 
 
 ```