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README.md

@@ -36,7 +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 | 119.744 ms | 0 - 3 MB | FP16 | NPU |  [VIT.tflite](https://huggingface.co/qualcomm/VIT/blob/main/VIT.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 79.223 ms | 0 - 3 MB | FP16 | NPU |  [VIT.tflite](https://huggingface.co/qualcomm/VIT/blob/main/VIT.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 67.117 ms | 0 - 41 MB | FP16 | NPU |  [VIT.so](https://huggingface.co/qualcomm/VIT/blob/main/VIT.so) 
 
 
 ## Installation
@@ -96,10 +97,10 @@ python -m qai_hub_models.models.vit.export
 ```
 Profile Job summary of VIT
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 119.40 ms
-Estimated Peak Memory Range: 0.13-4.21 MB
-Compute Units: NPU (535) | Total (535)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 65.97 ms
+Estimated Peak Memory Range: 0.57-0.57 MB
+Compute Units: NPU (385) | Total (385)
 
 
 ```