Upload README.md with huggingface_hub

README.md

@@ -38,7 +38,8 @@ 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 | 0.585 ms | 0 - 2 MB | INT8 | NPU |  [MobileNet-v3-Large-Quantized.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large-Quantized/blob/main/MobileNet-v3-Large-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.357 ms | 0 - 3 MB | INT8 | NPU |  [MobileNet-v3-Large-Quantized.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large-Quantized/blob/main/MobileNet-v3-Large-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.623 ms | 0 - 7 MB | INT8 | NPU |  [MobileNet-v3-Large-Quantized.so](https://huggingface.co/qualcomm/MobileNet-v3-Large-Quantized/blob/main/MobileNet-v3-Large-Quantized.so) 
 
 
 ## Installation
@@ -98,10 +99,10 @@ python -m qai_hub_models.models.mobilenet_v3_large_quantized.export
 ```
 Profile Job summary of MobileNet-v3-Large-Quantized
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 0.67 ms
-Estimated Peak Memory Range: 0.04-1.77 MB
-Compute Units: NPU (138) | Total (138)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 0.70 ms
+Estimated Peak Memory Range: 0.50-0.50 MB
+Compute Units: NPU (126) | Total (126)
 
 
 ```