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README.md

@@ -35,7 +35,7 @@ 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 | 922.835 ms | 143 - 146 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 | 957.88 ms | 63 - 66 MB | FP32 | CPU |  [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) 
 
 
 
@@ -98,9 +98,9 @@ python -m qai_hub_models.models.huggingface_wavlm_base_plus.export
 Profile Job summary of HuggingFace-WavLM-Base-Plus
 --------------------------------------------------
 Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 864.08 ms
-Estimated Peak Memory Range: 141.45-147.74 MB
-Compute Units: CPU (811) | Total (811)
+Estimated Inference Time: 897.01 ms
+Estimated Peak Memory Range: 62.55-99.95 MB
+Compute Units: CPU (871) | Total (871)
 
 
 ```