v0.34.0

See https://github.com/quic/ai-hub-models/releases/v0.34.0 for changelog.

README.md

@@ -23,6 +23,7 @@ More details on model performance across various devices, can be found
 [here](https://aihub.qualcomm.com/models/simple_bev_cam).
 
 
+
 ### Model Details
 
 - **Model Type:** Model_use_case.image_generation
@@ -34,10 +35,10 @@ More details on model performance across various devices, can be found
 
 | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
 |---|---|---|---|---|---|---|---|---|
-| Simple-Bev | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 3496.02 ms | 1249 - 1746 MB | CPU | [Simple-Bev.tflite](https://huggingface.co/qualcomm/Simple-Bev/blob/main/Simple-Bev.tflite) |
-| Simple-Bev | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 1926.08 ms | 1250 - 1733 MB | CPU | [Simple-Bev.tflite](https://huggingface.co/qualcomm/Simple-Bev/blob/main/Simple-Bev.tflite) |
-| Simple-Bev | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 3496.02 ms | 1249 - 1746 MB | CPU | [Simple-Bev.tflite](https://huggingface.co/qualcomm/Simple-Bev/blob/main/Simple-Bev.tflite) |
-| Simple-Bev | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 1769.725 ms | 1227 - 1699 MB | CPU | [Simple-Bev.tflite](https://huggingface.co/qualcomm/Simple-Bev/blob/main/Simple-Bev.tflite) |
+| Simple-Bev | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 3375.562 ms | 1249 - 1747 MB | CPU | [Simple-Bev.tflite](https://huggingface.co/qualcomm/Simple-Bev/blob/main/Simple-Bev.tflite) |
+| Simple-Bev | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 1931.126 ms | 1248 - 1730 MB | CPU | [Simple-Bev.tflite](https://huggingface.co/qualcomm/Simple-Bev/blob/main/Simple-Bev.tflite) |
+| Simple-Bev | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 3375.562 ms | 1249 - 1747 MB | CPU | [Simple-Bev.tflite](https://huggingface.co/qualcomm/Simple-Bev/blob/main/Simple-Bev.tflite) |
+| Simple-Bev | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 1700.437 ms | 1227 - 1698 MB | CPU | [Simple-Bev.tflite](https://huggingface.co/qualcomm/Simple-Bev/blob/main/Simple-Bev.tflite) |
 
 
 
@@ -95,17 +96,7 @@ device. This script does the following:
 ```bash
 python -m qai_hub_models.models.simple_bev_cam.export
 ```
-```
-Profiling Results
-------------------------------------------------------------
-Simple-Bev
-Device                          : cs_9075 (ANDROID 14)                   
-Runtime                         : TFLITE                                 
-Estimated inference time (ms)   : 3496.0                                 
-Estimated peak memory usage (MB): [1249, 1746]                           
-Total # Ops                     : 423                                    
-Compute Unit(s)                 : npu (0 ops) gpu (197 ops) cpu (226 ops)
-```
+
 
 
 ## How does this work?