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 | 10.805 ms | 1 - 3 MB | FP16 | NPU |  [FFNet-78S-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-78S-LowRes/blob/main/FFNet-78S-LowRes.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 11.389 ms | 0 - 60 MB | FP16 | NPU |  [FFNet-78S-LowRes.so](https://huggingface.co/qualcomm/FFNet-78S-LowRes/blob/main/FFNet-78S-LowRes.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 10.832 ms | 1 - 2 MB | FP16 | NPU |  [FFNet-78S-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-78S-LowRes/blob/main/FFNet-78S-LowRes.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 11.36 ms | 0 - 60 MB | FP16 | NPU |  [FFNet-78S-LowRes.so](https://huggingface.co/qualcomm/FFNet-78S-LowRes/blob/main/FFNet-78S-LowRes.so) 
 
 
 ## Installation
@@ -97,16 +97,9 @@ python -m qai_hub_models.models.ffnet_78s_lowres.export
 ```
 Profile Job summary of FFNet-78S-LowRes
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 10.75 ms
-Estimated Peak Memory Range: 0.62-2.83 MB
-Compute Units: NPU (149) | Total (149)
-
-Profile Job summary of FFNet-78S-LowRes
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 11.41 ms
-Estimated Peak Memory Range: 6.04-36.59 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 20.47 ms
+Estimated Peak Memory Range: 6.01-6.01 MB
 Compute Units: NPU (236) | Total (236)