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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 | 64.468 ms | 9 - 14 MB | FP16 | NPU |  [FastSam-X.tflite](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 64.155 ms | 9 - 13 MB | FP16 | NPU |  [FastSam-X.tflite](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.tflite) 
 
 
 ## Installation
@@ -94,9 +94,9 @@ python -m qai_hub_models.models.fastsam_x.export
 ```
 Profile Job summary of FastSam-X
 --------------------------------------------------
-Device: Samsung Galaxy S23 Ultra (13)
-Estimated Inference Time: 64.47 ms
-Estimated Peak Memory Range: 8.80-13.78 MB
+Device: Samsung Galaxy S24 (14)
+Estimated Inference Time: 47.87 ms
+Estimated Peak Memory Range: 7.59-145.70 MB
 Compute Units: NPU (420) | Total (420)
 
 
@@ -216,7 +216,7 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
 ## License
 - The license for the original implementation of FastSam-X can be found
   [here](https://github.com/CASIA-IVA-Lab/FastSAM/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
 * [Fast Segment Anything](https://arxiv.org/abs/2306.12156)