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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 | 0.938 ms | 0 - 3 MB | INT8 | NPU |  [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPoseQuantized.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.239 ms | 0 - 22 MB | INT8 | NPU |  [HRNetPoseQuantized.so](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPoseQuantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.946 ms | 0 - 2 MB | INT8 | NPU |  [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPoseQuantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.227 ms | 0 - 20 MB | INT8 | NPU |  [HRNetPoseQuantized.so](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPoseQuantized.so) 
 
 
 
@@ -98,10 +98,10 @@ python -m qai_hub_models.models.hrnet_pose_quantized.export
 ```
 Profile Job summary of HRNetPoseQuantized
 --------------------------------------------------
-Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 1.24 ms
-Estimated Peak Memory Range: 0.01-18.73 MB
-Compute Units: NPU (488) | Total (488)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 1.36 ms
+Estimated Peak Memory Range: 0.38-0.38 MB
+Compute Units: NPU (487) | Total (487)
 
 
 ```