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README.md

@@ -35,6 +35,19 @@ 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-2Plus1D | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 116.337 ms | 4 - 601 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 14.065 ms | 0 - 200 MB | FP16 | NPU | [ResNet-2Plus1D.onnx](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.onnx) |
+| ResNet-2Plus1D | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 87.809 ms | 28 - 69 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 10.458 ms | 2 - 61 MB | FP16 | NPU | [ResNet-2Plus1D.onnx](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.onnx) |
+| ResNet-2Plus1D | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 104.072 ms | 27 - 64 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 10.015 ms | 2 - 59 MB | FP16 | NPU | [ResNet-2Plus1D.onnx](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.onnx) |
+| ResNet-2Plus1D | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 116.778 ms | 4 - 604 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | SA7255P ADP | SA7255P | TFLITE | 826.709 ms | 28 - 63 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 115.504 ms | 4 - 604 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | SA8295P ADP | SA8295P | TFLITE | 143.259 ms | 28 - 66 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 115.149 ms | 4 - 614 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | SA8775P ADP | SA8775P | TFLITE | 156.336 ms | 28 - 63 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
+| ResNet-2Plus1D | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 127.438 ms | 28 - 69 MB | FP16 | NPU | [ResNet-2Plus1D.tflite](https://huggingface.co/qualcomm/ResNet-2Plus1D/blob/main/ResNet-2Plus1D.tflite) |
 
 
 
@@ -94,7 +107,16 @@ device. This script does the following:
 python -m qai_hub_models.models.resnet_2plus1d.export
 ```
 ```
-Profiling Results```
+Profiling Results
+------------------------------------------------------------
+ResNet-2Plus1D
+Device                          : Samsung Galaxy S23 (13) 
+Runtime                         : TFLITE                  
+Estimated inference time (ms)   : 116.3                   
+Estimated peak memory usage (MB): [4, 601]                
+Total # Ops                     : 92                      
+Compute Unit(s)                 : NPU (84 ops) CPU (8 ops)
+```
 
 
 ## How does this work?