Upload README.md with huggingface_hub

README.md

@@ -34,8 +34,8 @@ 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 | 29.177 ms | 2 - 5 MB | FP16 | NPU |  [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 23.42 ms | 24 - 46 MB | FP16 | NPU |  [FFNet-78S.so](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 29.391 ms | 2 - 5 MB | FP16 | NPU |  [FFNet-78S.tflite](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 23.544 ms | 24 - 45 MB | FP16 | NPU |  [FFNet-78S.so](https://huggingface.co/qualcomm/FFNet-78S/blob/main/FFNet-78S.so) 
 
 
 ## Installation
@@ -96,16 +96,9 @@ python -m qai_hub_models.models.ffnet_78s.export
 ```
 Profile Job summary of FFNet-78S
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 29.63 ms
-Estimated Peak Memory Range: 0.48-1.83 MB
-Compute Units: NPU (149) | Total (149)
-
-Profile Job summary of FFNet-78S
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 23.60 ms
-Estimated Peak Memory Range: 24.00-52.99 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 32.62 ms
+Estimated Peak Memory Range: 24.05-24.05 MB
 Compute Units: NPU (235) | Total (235)