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 | 2.174 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 | 2.173 ms | 0 - 83 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 | 1.218 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 | 1.223 ms | 1 - 7 MB | FP16 | NPU |  [EfficientNet-B0.so](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.so) 
 
 
 ## Installation
@@ -98,16 +98,16 @@ python -m qai_hub_models.models.efficientnet_b0.export
 Profile Job summary of EfficientNet-B0
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.52 ms
-Estimated Peak Memory Range: 0.01-67.59 MB
+Estimated Inference Time: 0.91 ms
+Estimated Peak Memory Range: 0.01-67.19 MB
 Compute Units: NPU (243) | Total (243)
 
 Profile Job summary of EfficientNet-B0
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.51 ms
-Estimated Peak Memory Range: 0.59-75.56 MB
-Compute Units: NPU (242) | Total (242)
+Estimated Inference Time: 0.89 ms
+Estimated Peak Memory Range: 0.00-67.70 MB
+Compute Units: NPU (241) | Total (241)
 
 
 ```