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 | 1.637 ms | 0 - 17 MB | FP16 | NPU |  [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.692 ms | 0 - 85 MB | FP16 | NPU |  [EfficientNet-B0.so](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.623 ms | 0 - 2 MB | FP16 | NPU |  [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.678 ms | 0 - 84 MB | FP16 | NPU |  [EfficientNet-B0.so](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.so) 
 
 
 ## Installation
@@ -97,16 +97,9 @@ python -m qai_hub_models.models.efficientnet_b0.export
 ```
 Profile Job summary of EfficientNet-B0
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.64 ms
-Estimated Peak Memory Range: 0.03-2.44 MB
-Compute Units: NPU (245) | Total (245)
-
-Profile Job summary of EfficientNet-B0
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.69 ms
-Estimated Peak Memory Range: 0.59-64.99 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 1.83 ms
+Estimated Peak Memory Range: 0.57-0.57 MB
 Compute Units: NPU (243) | Total (243)