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README.md

@@ -34,8 +34,8 @@ 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 | 243.112 ms | 7 - 10 MB | FP16 | NPU |  [TrOCREncoder.tflite](https://huggingface.co/qualcomm/TrOCR/blob/main/TrOCREncoder.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.781 ms | 0 - 3 MB | FP16 | NPU |  [TrOCRDecoder.tflite](https://huggingface.co/qualcomm/TrOCR/blob/main/TrOCRDecoder.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 216.492 ms | 7 - 10 MB | FP16 | NPU |  [TrOCREncoder.tflite](https://huggingface.co/qualcomm/TrOCR/blob/main/TrOCREncoder.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.684 ms | 0 - 2 MB | FP16 | NPU |  [TrOCRDecoder.tflite](https://huggingface.co/qualcomm/TrOCR/blob/main/TrOCRDecoder.tflite) 
 
 
 ## Installation
@@ -93,23 +93,6 @@ device. This script does the following:
 python -m qai_hub_models.models.trocr.export
 ```
 
-```
-Profile Job summary of TrOCREncoder
---------------------------------------------------
-Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 182.19 ms
-Estimated Peak Memory Range: 6.39-316.24 MB
-Compute Units: NPU (628) | Total (628)
-
-Profile Job summary of TrOCRDecoder
---------------------------------------------------
-Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.99 ms
-Estimated Peak Memory Range: 0.01-185.20 MB
-Compute Units: NPU (394) | Total (394)
-
-
-```
 ## How does this work?
 
 This [export script](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/TrOCR/export.py)