BEVFusion: Optimized for Qualcomm Devices
BeVFusion is a machine learning model for generating a birds eye view represenation from the sensors(cameras) mounted on a vehicle.
This is based on the implementation of BEVFusion found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | QAIRT 2.50 | Download |
| PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | QAIRT 2.50 | Download |
| PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-8275 | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-9075 | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | QAIRT 2.50 | Download |
For more device-specific assets and performance metrics, visit BEVFusion on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations
This option is ideal if you need to customize the model beyond the default configuration provided here.
See our repository for BEVFusion on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.driver_assistance
Model Stats:
- Input resolution: 1 x 6 x 3 x 256 x 704
- Model checkpoint: camera-only-det.pth
- Model size: 171 MB
- Number of parameters: 44M
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 5.793 ms | 11 - 18 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.716 ms | 10 - 21 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 6.964 ms | 22 - 22 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 13.055 ms | 24 - 24 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.91 ms | 16 - 24 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 13.055 ms | 24 - 24 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 7.716 ms | 10 - 21 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 5.674 ms | 5 - 13 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.59 ms | 0 - 8 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 7.468 ms | 5 - 5 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 13.152 ms | 5 - 5 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 9.87 ms | 5 - 12 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 23.802 ms | 4 - 9 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 23.802 ms | 4 - 9 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-X7181 | 13.152 ms | 5 - 5 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ Q-8750 | 7.59 ms | 0 - 8 MB | NPU |
| encoder_1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 368.914 ms | 38 - 51 MB | NPU |
| encoder_1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 449.146 ms | 38 - 51 MB | NPU |
| encoder_1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 400.599 ms | 66 - 66 MB | NPU |
| encoder_1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 730.512 ms | 87 - 87 MB | NPU |
| encoder_1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 560.699 ms | 32 - 45 MB | NPU |
| encoder_1 | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 730.512 ms | 87 - 87 MB | NPU |
| encoder_1 | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 449.146 ms | 38 - 51 MB | NPU |
| encoder_1 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 369.929 ms | 0 - 8 MB | NPU |
| encoder_1 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 445.022 ms | 12 - 19 MB | NPU |
| encoder_1 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 441.318 ms | 12 - 12 MB | NPU |
| encoder_1 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 731.151 ms | 12 - 12 MB | NPU |
| encoder_1 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 559.636 ms | 13 - 19 MB | NPU |
| encoder_1 | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 720.121 ms | 0 - 9 MB | NPU |
| encoder_1 | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 720.121 ms | 0 - 9 MB | NPU |
| encoder_1 | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-X7181 | 731.151 ms | 12 - 12 MB | NPU |
| encoder_1 | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ Q-8750 | 445.022 ms | 12 - 19 MB | NPU |
| encoder_2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 2267.571 ms | 405 - 413 MB | NPU |
| encoder_2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2665.995 ms | 559 - 567 MB | NPU |
| encoder_2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 2434.662 ms | 1058 - 1058 MB | NPU |
| encoder_2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 3515.802 ms | 1058 - 1058 MB | NPU |
| encoder_2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2914.173 ms | 552 - 559 MB | NPU |
| encoder_2 | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 3515.802 ms | 1058 - 1058 MB | NPU |
| encoder_2 | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 2665.995 ms | 559 - 567 MB | NPU |
| encoder_2 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 2265.438 ms | 17 - 29 MB | NPU |
| encoder_2 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 2654.205 ms | 17 - 30 MB | NPU |
| encoder_2 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 2438.128 ms | 17 - 17 MB | NPU |
| encoder_2 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 3506.309 ms | 17 - 17 MB | NPU |
| encoder_2 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 2921.008 ms | 17 - 30 MB | NPU |
| encoder_2 | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 3459.164 ms | 2 - 11 MB | NPU |
| encoder_2 | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 3459.164 ms | 2 - 11 MB | NPU |
| encoder_2 | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-X7181 | 3506.309 ms | 17 - 17 MB | NPU |
| encoder_2 | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ Q-8750 | 2654.205 ms | 17 - 30 MB | NPU |
| encoder_3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 6.871 ms | 15 - 22 MB | NPU |
| encoder_3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.84 ms | 14 - 21 MB | NPU |
| encoder_3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 7.882 ms | 19 - 19 MB | NPU |
| encoder_3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 12.107 ms | 19 - 19 MB | NPU |
| encoder_3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.196 ms | 32 - 40 MB | NPU |
| encoder_3 | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 12.107 ms | 19 - 19 MB | NPU |
| encoder_3 | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 7.84 ms | 14 - 21 MB | NPU |
| encoder_3 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 6.825 ms | 0 - 7 MB | NPU |
| encoder_3 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.858 ms | 17 - 26 MB | NPU |
| encoder_3 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 8.629 ms | 19 - 19 MB | NPU |
| encoder_3 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 11.815 ms | 19 - 19 MB | NPU |
| encoder_3 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 9.222 ms | 19 - 26 MB | NPU |
| encoder_3 | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 15.076 ms | 18 - 23 MB | NPU |
| encoder_3 | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 15.076 ms | 18 - 23 MB | NPU |
| encoder_3 | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-X7181 | 11.815 ms | 19 - 19 MB | NPU |
| encoder_3 | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ Q-8750 | 7.858 ms | 17 - 26 MB | NPU |
License
- The license for the original implementation of BEVFusion can be found here.
References
- BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
- Source Model Implementation
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
