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README.md

@@ -36,8 +36,8 @@ 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 | 602.022 ms | 0 - 428 MB | FP16 | GPU |  [WhisperEncoder.tflite](https://huggingface.co/qualcomm/Whisper-Small-En/blob/main/WhisperEncoder.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 45.479 ms | 8 - 11 MB | FP16 | NPU |  [WhisperDecoder.tflite](https://huggingface.co/qualcomm/Whisper-Small-En/blob/main/WhisperDecoder.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 598.326 ms | 91 - 511 MB | FP16 | GPU |  [WhisperEncoder.tflite](https://huggingface.co/qualcomm/Whisper-Small-En/blob/main/WhisperEncoder.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 46.381 ms | 15 - 19 MB | FP16 | NPU |  [WhisperDecoder.tflite](https://huggingface.co/qualcomm/Whisper-Small-En/blob/main/WhisperDecoder.tflite) 
 
 
 ## Installation
@@ -99,10 +99,17 @@ python -m qai_hub_models.models.whisper_small_en.export
 Profile Job summary of WhisperEncoder
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 461.60 ms
-Estimated Peak Memory Range: 13.51-44.51 MB
+Estimated Inference Time: 469.35 ms
+Estimated Peak Memory Range: 26.94-57.31 MB
 Compute Units: GPU (609) | Total (609)
 
+Profile Job summary of WhisperDecoder
+--------------------------------------------------
+Device: Samsung Galaxy S24 (14)
+Estimated Inference Time: 34.41 ms
+Estimated Peak Memory Range: 19.25-1636.84 MB
+Compute Units: NPU (903),CPU (2) | Total (905)
+
 
 ```
 ## How does this work?