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README.md

@@ -34,10 +34,10 @@ 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 | 0.953 ms | 0 - 7 MB | FP16 | NPU |  [MediaPipeHandDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandDetector.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.259 ms | 0 - 2 MB | FP16 | NPU |  [MediaPipeHandLandmarkDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandLandmarkDetector.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.019 ms | 1 - 8 MB | FP16 | NPU |  [MediaPipeHandDetector.so](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandDetector.so) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.293 ms | 1 - 10 MB | FP16 | NPU |  [MediaPipeHandLandmarkDetector.so](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandLandmarkDetector.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.957 ms | 0 - 2 MB | FP16 | NPU |  [MediaPipeHandDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandDetector.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.214 ms | 0 - 2 MB | FP16 | NPU |  [MediaPipeHandLandmarkDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandLandmarkDetector.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.014 ms | 0 - 20 MB | FP16 | NPU |  [MediaPipeHandDetector.so](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandDetector.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.284 ms | 0 - 49 MB | FP16 | NPU |  [MediaPipeHandLandmarkDetector.so](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandLandmarkDetector.so) 
 
 
 ## Installation
@@ -97,31 +97,17 @@ python -m qai_hub_models.models.mediapipe_hand.export
 ```
 Profile Job summary of MediaPipeHandDetector
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 0.96 ms
-Estimated Peak Memory Range: 0.02-3.69 MB
-Compute Units: NPU (152) | Total (152)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 1.05 ms
+Estimated Peak Memory Range: 0.75-0.75 MB
+Compute Units: NPU (196) | Total (196)
 
 Profile Job summary of MediaPipeHandLandmarkDetector
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.21 ms
-Estimated Peak Memory Range: 0.04-1.98 MB
-Compute Units: NPU (159) | Total (159)
-
-Profile Job summary of MediaPipeHandDetector
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.02 ms
-Estimated Peak Memory Range: 0.77-7.60 MB
-Compute Units: NPU (197) | Total (197)
-
-Profile Job summary of MediaPipeHandLandmarkDetector
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.31 ms
-Estimated Peak Memory Range: 0.77-7.86 MB
-Compute Units: NPU (210) | Total (210)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 1.46 ms
+Estimated Peak Memory Range: 0.75-0.75 MB
+Compute Units: NPU (209) | Total (209)
 
 
 ```