Upload README.md with huggingface_hub

README.md

@@ -34,7 +34,8 @@ 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 | 39.035 ms | 1 - 9 MB | FP16 | NPU |  [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 20.791 ms | 0 - 3 MB | FP16 | NPU |  [DETR-ResNet50.tflite](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 19.328 ms | 3 - 22 MB | FP16 | NPU |  [DETR-ResNet50.so](https://huggingface.co/qualcomm/DETR-ResNet50/blob/main/DETR-ResNet50.so) 
 
 
 ## Installation
@@ -95,10 +96,10 @@ python -m qai_hub_models.models.detr_resnet50.export
 ```
 Profile Job summary of DETR-ResNet50
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 38.87 ms
-Estimated Peak Memory Range: 1.36-8.07 MB
-Compute Units: NPU (842),GPU (2) | Total (844)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 22.41 ms
+Estimated Peak Memory Range: 2.64-2.64 MB
+Compute Units: NPU (863) | Total (863)
 
 
 ```