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 | 10.81 ms | 0 - 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 | 11.408 ms | 0 - 50 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 | 10.717 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 | 11.424 ms | 0 - 51 MB | FP16 | NPU |  [FFNet-78S-LowRes.so](https://huggingface.co/qualcomm/FFNet-78S-LowRes/blob/main/FFNet-78S-LowRes.so) 
 
 
 ## Installation
@@ -98,16 +98,16 @@ python -m qai_hub_models.models.ffnet_78s_lowres.export
 Profile Job summary of FFNet-78S-LowRes
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 7.77 ms
-Estimated Peak Memory Range: 0.52-49.82 MB
+Estimated Inference Time: 7.57 ms
+Estimated Peak Memory Range: 0.04-48.57 MB
 Compute Units: NPU (149) | Total (149)
 
 Profile Job summary of FFNet-78S-LowRes
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 8.08 ms
-Estimated Peak Memory Range: 6.04-69.22 MB
-Compute Units: NPU (237) | Total (237)
+Estimated Inference Time: 7.98 ms
+Estimated Peak Memory Range: 6.02-67.99 MB
+Compute Units: NPU (236) | Total (236)
 
 
 ```