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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 | 67.495 ms | 0 - 105 MB | FP16 | GPU |  [WhisperEncoder.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 7.957 ms | 3 - 5 MB | FP16 | NPU |  [WhisperDecoder.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 67.35 ms | 11 - 55 MB | FP16 | GPU |  [WhisperEncoder.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 7.423 ms | 2 - 4 MB | FP16 | NPU |  [WhisperDecoder.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) 
 
 
 ## Installation
@@ -98,16 +98,16 @@ python -m qai_hub_models.models.whisper_tiny_en.export
 ```
 Profile Job summary of WhisperEncoder
 --------------------------------------------------
-Device: Samsung Galaxy S23 Ultra (13)
-Estimated Inference Time: 67.50 ms
-Estimated Peak Memory Range: 0.22-105.26 MB
+Device: Samsung Galaxy S24 (14)
+Estimated Inference Time: 53.45 ms
+Estimated Peak Memory Range: 0.00-26.38 MB
 Compute Units: GPU (217) | Total (217)
 
 Profile Job summary of WhisperDecoder
 --------------------------------------------------
-Device: Samsung Galaxy S23 Ultra (13)
-Estimated Inference Time: 7.96 ms
-Estimated Peak Memory Range: 2.86-5.35 MB
+Device: Samsung Galaxy S24 (14)
+Estimated Inference Time: 5.57 ms
+Estimated Peak Memory Range: 0.45-219.61 MB
 Compute Units: NPU (293) | Total (293)
 
 
@@ -213,7 +213,7 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
 ## License
 - The license for the original implementation of Whisper-Tiny-En can be found
   [here](https://github.com/openai/whisper/blob/main/LICENSE).
-- The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf).
+- The license for the compiled assets for on-device deployment can be found [here]({deploy_license_url})
 
 ## References
 * [Robust Speech Recognition via Large-Scale Weak Supervision](https://cdn.openai.com/papers/whisper.pdf)