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README.md

@@ -37,7 +37,8 @@ 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 | 1.022 ms | 0 - 2 MB | FP16 | NPU |  [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.002 ms | 0 - 2 MB | FP16 | NPU |  [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.037 ms | 0 - 66 MB | FP16 | NPU |  [MobileNet-v3-Large.so](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.so) 
 
 
 ## Installation
@@ -97,10 +98,10 @@ python -m qai_hub_models.models.mobilenet_v3_large.export
 ```
 Profile Job summary of MobileNet-v3-Large
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.02 ms
-Estimated Peak Memory Range: 0.02-1.84 MB
-Compute Units: NPU (136) | Total (136)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 1.21 ms
+Estimated Peak Memory Range: 0.57-0.57 MB
+Compute Units: NPU (144) | Total (144)
 
 
 ```