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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 | 0.785 ms | 0 - 1 MB | FP16 | NPU |  [MediaPipeFaceDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceDetector.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.315 ms | 0 - 2 MB | FP16 | NPU |  [MediaPipeFaceLandmarkDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceLandmarkDetector.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.839 ms | 1 - 7 MB | FP16 | NPU |  [MediaPipeFaceDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceDetector.so) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.39 ms | 0 - 90 MB | FP16 | NPU |  [MediaPipeFaceLandmarkDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceLandmarkDetector.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.815 ms | 0 - 2 MB | FP16 | NPU |  [MediaPipeFaceDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceDetector.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.325 ms | 0 - 4 MB | FP16 | NPU |  [MediaPipeFaceLandmarkDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceLandmarkDetector.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.843 ms | 1 - 7 MB | FP16 | NPU |  [MediaPipeFaceDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceDetector.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.4 ms | 0 - 40 MB | FP16 | NPU |  [MediaPipeFaceLandmarkDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceLandmarkDetector.so) 
 
 
 ## Installation
@@ -97,31 +97,17 @@ python -m qai_hub_models.models.mediapipe_face.export
 ```
 Profile Job summary of MediaPipeFaceDetector
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 0.78 ms
-Estimated Peak Memory Range: 0.02-1.53 MB
-Compute Units: NPU (112) | Total (112)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 0.93 ms
+Estimated Peak Memory Range: 0.75-0.75 MB
+Compute Units: NPU (147) | Total (147)
 
 Profile Job summary of MediaPipeFaceLandmarkDetector
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 0.33 ms
-Estimated Peak Memory Range: 0.02-1.79 MB
-Compute Units: NPU (101) | Total (101)
-
-Profile Job summary of MediaPipeFaceDetector
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 0.84 ms
-Estimated Peak Memory Range: 0.78-5.89 MB
-Compute Units: NPU (148) | Total (148)
-
-Profile Job summary of MediaPipeFaceLandmarkDetector
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 0.40 ms
-Estimated Peak Memory Range: 0.44-77.67 MB
-Compute Units: NPU (107) | Total (107)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 0.55 ms
+Estimated Peak Memory Range: 0.42-0.42 MB
+Compute Units: NPU (106) | Total (106)
 
 
 ```