Upload README.md with huggingface_hub

README.md

@@ -35,8 +35,8 @@ 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 | 23.048 ms | 0 - 29 MB | FP16 | NPU |  [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 17.363 ms | 24 - 42 MB | FP16 | NPU |  [FFNet-40S.so](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 23.181 ms | 2 - 5 MB | FP16 | NPU |  [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 17.245 ms | 2 - 16 MB | FP16 | NPU |  [FFNet-40S.so](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.so) 
 
 
 ## Installation
@@ -97,16 +97,9 @@ python -m qai_hub_models.models.ffnet_40s.export
 ```
 Profile Job summary of FFNet-40S
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 22.46 ms
-Estimated Peak Memory Range: 0.03-1.57 MB
-Compute Units: NPU (92) | Total (92)
-
-Profile Job summary of FFNet-40S
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 17.24 ms
-Estimated Peak Memory Range: 24.05-49.83 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 23.29 ms
+Estimated Peak Memory Range: 24.05-24.05 MB
 Compute Units: NPU (140) | Total (140)