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README.md

@@ -33,7 +33,7 @@ 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 | 463.847 ms | 10 - 13 MB | FP32 | CPU |  [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 237767.939 ms | 11 - 15 MB | FP16 | NPU |  [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) 
 
 
 ## Installation
@@ -94,10 +94,10 @@ python -m qai_hub_models.models.huggingface_wavlm_base_plus.export
 ```
 Profile Job summary of HuggingFace-WavLM-Base-Plus
 --------------------------------------------------
-Device: Samsung Galaxy S23 Ultra (13)
-Estimated Inference Time: 463.85 ms
-Estimated Peak Memory Range: 10.22-13.22 MB
-Compute Units: GPU (88),CPU (748) | Total (836)
+Device: Samsung Galaxy S24 (14)
+Estimated Inference Time: 174470.19 ms
+Estimated Peak Memory Range: 10.80-678.70 MB
+Compute Units: NPU (848) | Total (848)
 
 
 ```
@@ -202,7 +202,7 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
 ## License
 - The license for the original implementation of HuggingFace-WavLM-Base-Plus can be found
   [here](https://github.com/microsoft/unilm/blob/master/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
 * [WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing](https://arxiv.org/abs/2110.13900)