Upload README.md with huggingface_hub

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 | 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) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 911.873 ms | 142 - 146 MB | FP32 | CPU |  [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) 
 
 
 ## Installation
@@ -95,9 +95,9 @@ python -m qai_hub_models.models.huggingface_wavlm_base_plus.export
 Profile Job summary of HuggingFace-WavLM-Base-Plus
 --------------------------------------------------
 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)
+Estimated Inference Time: 712.94 ms
+Estimated Peak Memory Range: 140.94-171.37 MB
+Compute Units: CPU (848) | Total (848)
 
 
 ```