Upload README.md with huggingface_hub

README.md

@@ -35,8 +35,8 @@ 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 | 1.29 ms | 0 - 7 MB | FP16 | NPU |  [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.797 ms | 1 - 65 MB | FP16 | NPU |  [Shufflenet-v2.so](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.228 ms | 0 - 2 MB | FP16 | NPU |  [Shufflenet-v2.tflite](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.765 ms | 0 - 4 MB | FP16 | NPU |  [Shufflenet-v2.so](https://huggingface.co/qualcomm/Shufflenet-v2/blob/main/Shufflenet-v2.so) 
 
 
 ## Installation
@@ -96,16 +96,9 @@ python -m qai_hub_models.models.shufflenet_v2.export
 ```
 Profile Job summary of Shufflenet-v2
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.29 ms
-Estimated Peak Memory Range: 0.02-6.63 MB
-Compute Units: NPU (204) | Total (204)
-
-Profile Job summary of Shufflenet-v2
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 0.80 ms
-Estimated Peak Memory Range: 0.59-98.78 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 0.93 ms
+Estimated Peak Memory Range: 0.57-0.57 MB
 Compute Units: NPU (158) | Total (158)