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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 | 2.913 ms | 0 - 2 MB | INT8 | NPU |  [ResNeXt101Quantized.tflite](https://huggingface.co/qualcomm/ResNeXt101Quantized/blob/main/ResNeXt101Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 3.033 ms | 0 - 2 MB | INT8 | NPU |  [ResNeXt101Quantized.tflite](https://huggingface.co/qualcomm/ResNeXt101Quantized/blob/main/ResNeXt101Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 3.107 ms | 0 - 31 MB | INT8 | NPU |  [ResNeXt101Quantized.so](https://huggingface.co/qualcomm/ResNeXt101Quantized/blob/main/ResNeXt101Quantized.so) 
 
 
 ## Installation
@@ -97,10 +98,10 @@ python -m qai_hub_models.models.resnext101_quantized.export
 ```
 Profile Job summary of ResNeXt101Quantized
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 2.91 ms
-Estimated Peak Memory Range: 0.02-2.63 MB
-Compute Units: NPU (150) | Total (150)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 3.33 ms
+Estimated Peak Memory Range: 0.24-0.24 MB
+Compute Units: NPU (146) | Total (146)
 
 
 ```