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README.md

@@ -34,7 +34,7 @@ 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 | 692.168 ms | 112 - 505 MB | FP32 | CPU |  [DETR-ResNet50-DC5.tflite](https://huggingface.co/qualcomm/DETR-ResNet50-DC5/blob/main/DETR-ResNet50-DC5.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 428.409 ms | 6 - 14 MB | FP16 | NPU |  [DETR-ResNet50-DC5.tflite](https://huggingface.co/qualcomm/DETR-ResNet50-DC5/blob/main/DETR-ResNet50-DC5.tflite) 
 
 
 ## Installation
@@ -96,9 +96,9 @@ python -m qai_hub_models.models.detr_resnet50_dc5.export
 Profile Job summary of DETR-ResNet50-DC5
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 521.99 ms
-Estimated Peak Memory Range: 170.55-266.78 MB
-Compute Units: CPU (890) | Total (890)
+Estimated Inference Time: 326.69 ms
+Estimated Peak Memory Range: 0.14-400.95 MB
+Compute Units: NPU (887),GPU (2),CPU (1) | Total (890)
 
 
 ```