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README.md

@@ -28,14 +28,15 @@ More details on model performance across various devices, can be found
   - Input resolution: 224x224
   - Number of parameters: 91.9K
   - Model size: 430 KB
+  - Number of output classes: 2 (foreground / background)
 
 
 
 
 | 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 | 1.758 ms | 0 - 2 MB | FP16 | NPU |  [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.168 ms | 1 - 27 MB | FP16 | NPU |  [SINet.so](https://huggingface.co/qualcomm/SINet/blob/main/SINet.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.757 ms | 0 - 2 MB | FP16 | NPU |  [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.17 ms | 0 - 24 MB | FP16 | NPU |  [SINet.so](https://huggingface.co/qualcomm/SINet/blob/main/SINet.so) 
 
 
 
@@ -98,7 +99,7 @@ Profile Job summary of SINet
 --------------------------------------------------
 Device: SA8255 (Proxy) (13)
 Estimated Inference Time: 1.17 ms
-Estimated Peak Memory Range: 0.59-5.63 MB
+Estimated Peak Memory Range: 0.60-106.73 MB
 Compute Units: NPU (186) | Total (186)