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README.md

@@ -104,31 +104,31 @@ python -m qai_hub_models.models.controlnet_quantized.export
 ```
 Profile Job summary of TextEncoder_Quantized
 --------------------------------------------------
-Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 8.08 ms
-Estimated Peak Memory Range: 0.01-137.23 MB
-Compute Units: NPU (570) | Total (570)
+Device: QCS8550 (Proxy) (12)
+Estimated Inference Time: 10.98 ms
+Estimated Peak Memory Range: 0.07-1.20 MB
+Compute Units: NPU (569) | Total (569)
 
 Profile Job summary of UNet_Quantized
 --------------------------------------------------
-Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 192.79 ms
-Estimated Peak Memory Range: 2.66-1246.59 MB
-Compute Units: NPU (5434) | Total (5434)
+Device: QCS8550 (Proxy) (12)
+Estimated Inference Time: 260.16 ms
+Estimated Peak Memory Range: 13.75-15.10 MB
+Compute Units: NPU (5433) | Total (5433)
 
 Profile Job summary of VAEDecoder_Quantized
 --------------------------------------------------
-Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 294.40 ms
-Estimated Peak Memory Range: 0.20-88.33 MB
-Compute Units: NPU (409) | Total (409)
+Device: QCS8550 (Proxy) (12)
+Estimated Inference Time: 379.55 ms
+Estimated Peak Memory Range: 0.28-1.47 MB
+Compute Units: NPU (408) | Total (408)
 
 Profile Job summary of ControlNet_Quantized
 --------------------------------------------------
-Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 76.94 ms
-Estimated Peak Memory Range: 0.00-532.61 MB
-Compute Units: NPU (2406) | Total (2406)
+Device: QCS8550 (Proxy) (12)
+Estimated Inference Time: 103.52 ms
+Estimated Peak Memory Range: 1.85-3.07 MB
+Compute Units: NPU (2405) | Total (2405)
 
 
 ```