Upload README.md with huggingface_hub

README.md

@@ -36,8 +36,8 @@ 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 | 1.398 ms | 0 - 2 MB | FP16 | NPU |  [ResNet18.tflite](https://huggingface.co/qualcomm/ResNet18/blob/main/ResNet18.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.489 ms | 0 - 80 MB | FP16 | NPU |  [ResNet18.so](https://huggingface.co/qualcomm/ResNet18/blob/main/ResNet18.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.41 ms | 0 - 1 MB | FP16 | NPU |  [ResNet18.tflite](https://huggingface.co/qualcomm/ResNet18/blob/main/ResNet18.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.471 ms | 0 - 90 MB | FP16 | NPU |  [ResNet18.so](https://huggingface.co/qualcomm/ResNet18/blob/main/ResNet18.so) 
 
 
 ## Installation
@@ -97,16 +97,9 @@ python -m qai_hub_models.models.resnet18.export
 ```
 Profile Job summary of ResNet18
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.38 ms
-Estimated Peak Memory Range: 0.02-1.87 MB
-Compute Units: NPU (38) | Total (38)
-
-Profile Job summary of ResNet18
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.49 ms
-Estimated Peak Memory Range: 0.02-79.79 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 1.57 ms
+Estimated Peak Memory Range: 0.57-0.57 MB
 Compute Units: NPU (53) | Total (53)