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README.md

@@ -35,6 +35,20 @@ More details on model performance across various devices, can be found
 
 | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
 |---|---|---|---|---|---|---|---|---|
+| ResNet-Mixed-Convolution | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 167.191 ms | 30 - 76 MB | FP16 | NPU | [ResNet-Mixed-Convolution.tflite](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.tflite) |
+| ResNet-Mixed-Convolution | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 17.682 ms | 0 - 91 MB | FP16 | NPU | [ResNet-Mixed-Convolution.onnx](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.onnx) |
+| ResNet-Mixed-Convolution | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 127.47 ms | 29 - 58 MB | FP16 | NPU | [ResNet-Mixed-Convolution.tflite](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.tflite) |
+| ResNet-Mixed-Convolution | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 13.111 ms | 4 - 70 MB | FP16 | NPU | [ResNet-Mixed-Convolution.onnx](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.onnx) |
+| ResNet-Mixed-Convolution | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 150.781 ms | 29 - 59 MB | FP16 | NPU | [ResNet-Mixed-Convolution.tflite](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.tflite) |
+| ResNet-Mixed-Convolution | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 12.757 ms | 2 - 64 MB | FP16 | NPU | [ResNet-Mixed-Convolution.onnx](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.onnx) |
+| ResNet-Mixed-Convolution | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 166.676 ms | 31 - 57 MB | FP16 | NPU | [ResNet-Mixed-Convolution.tflite](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.tflite) |
+| ResNet-Mixed-Convolution | SA7255P ADP | SA7255P | TFLITE | 1030.441 ms | 31 - 57 MB | FP16 | NPU | [ResNet-Mixed-Convolution.tflite](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.tflite) |
+| ResNet-Mixed-Convolution | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 166.883 ms | 31 - 82 MB | FP16 | NPU | [ResNet-Mixed-Convolution.tflite](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.tflite) |
+| ResNet-Mixed-Convolution | SA8295P ADP | SA8295P | TFLITE | 203.1 ms | 31 - 59 MB | FP16 | NPU | [ResNet-Mixed-Convolution.tflite](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.tflite) |
+| ResNet-Mixed-Convolution | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 169.72 ms | 30 - 75 MB | FP16 | NPU | [ResNet-Mixed-Convolution.tflite](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.tflite) |
+| ResNet-Mixed-Convolution | SA8775P ADP | SA8775P | TFLITE | 219.728 ms | 31 - 58 MB | FP16 | NPU | [ResNet-Mixed-Convolution.tflite](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.tflite) |
+| ResNet-Mixed-Convolution | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 184.655 ms | 31 - 60 MB | FP16 | NPU | [ResNet-Mixed-Convolution.tflite](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.tflite) |
+| ResNet-Mixed-Convolution | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 18.869 ms | 25 - 25 MB | FP16 | NPU | [ResNet-Mixed-Convolution.onnx](https://huggingface.co/qualcomm/ResNet-Mixed-Convolution/blob/main/ResNet-Mixed-Convolution.onnx) |
 
 
 
@@ -94,7 +108,16 @@ device. This script does the following:
 python -m qai_hub_models.models.resnet_mixed.export
 ```
 ```
-Profiling Results```
+Profiling Results
+------------------------------------------------------------
+ResNet-Mixed-Convolution
+Device                          : Samsung Galaxy S23 (13) 
+Runtime                         : TFLITE                  
+Estimated inference time (ms)   : 167.2                   
+Estimated peak memory usage (MB): [30, 76]                
+Total # Ops                     : 55                      
+Compute Unit(s)                 : NPU (50 ops) CPU (5 ops)
+```
 
 
 ## How does this work?