Upload README.md with huggingface_hub

README.md

@@ -32,8 +32,8 @@ 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 | 1.797 ms | 0 - 2 MB | FP16 | NPU |  [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.171 ms | 2 - 14 MB | FP16 | NPU |  [SINet.so](https://huggingface.co/qualcomm/SINet/blob/main/SINet.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.838 ms | 0 - 2 MB | FP16 | NPU |  [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.175 ms | 0 - 7 MB | FP16 | NPU |  [SINet.so](https://huggingface.co/qualcomm/SINet/blob/main/SINet.so) 
 
 
 ## Installation
@@ -94,7 +94,7 @@ python -m qai_hub_models.models.sinet.export
 Profile Job summary of SINet
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 1.40 ms
+Estimated Inference Time: 1.41 ms
 Estimated Peak Memory Range: 0.57-0.57 MB
 Compute Units: NPU (186) | Total (186)