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 | 25.024 ms | 2 - 5 MB | FP16 | NPU |  [FFNet-54S.tflite](https://huggingface.co/qualcomm/FFNet-54S/blob/main/FFNet-54S.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 19.758 ms | 24 - 46 MB | FP16 | NPU |  [FFNet-54S.so](https://huggingface.co/qualcomm/FFNet-54S/blob/main/FFNet-54S.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 25.556 ms | 2 - 5 MB | FP16 | NPU |  [FFNet-54S.tflite](https://huggingface.co/qualcomm/FFNet-54S/blob/main/FFNet-54S.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 20.54 ms | 24 - 44 MB | FP16 | NPU |  [FFNet-54S.so](https://huggingface.co/qualcomm/FFNet-54S/blob/main/FFNet-54S.so) 
 
 
 ## Installation
@@ -96,16 +96,9 @@ python -m qai_hub_models.models.ffnet_54s.export
 ```
 Profile Job summary of FFNet-54S
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 25.05 ms
-Estimated Peak Memory Range: 2.44-4.92 MB
-Compute Units: NPU (113) | Total (113)
-
-Profile Job summary of FFNet-54S
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 19.99 ms
-Estimated Peak Memory Range: 24.05-52.49 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 25.81 ms
+Estimated Peak Memory Range: 24.05-24.05 MB
 Compute Units: NPU (175) | Total (175)