v0.47.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.47.0 for changelog.
README.md
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BeVFusion is a machine learning model for generating a birds eye view represenation from the sensors(cameras) mounted on a vehicle.
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This is based on the implementation of BEVFusion found [here](https://github.com/mit-han-lab/bevfusion).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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| PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite
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| PRECOMPILED_QNN_ONNX | float |
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| QNN_CONTEXT_BINARY | float | Snapdragon®
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| QNN_CONTEXT_BINARY | float | Snapdragon®
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For more device-specific assets and performance metrics, visit **[BEVFusion on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/bevfusion_det)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [BEVFusion on GitHub](https://github.com/
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| BEVFusionDecoder | PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| BEVFusionDecoder | PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| BEVFusionDecoder | PRECOMPILED_QNN_ONNX | float |
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| BEVFusionDecoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.
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| BEVFusionDecoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile |
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| BEVFusionDecoder | QNN_CONTEXT_BINARY | float | Snapdragon®
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| BEVFusionDecoder | QNN_CONTEXT_BINARY | float | Snapdragon®
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| BEVFusionDecoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8
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| BEVFusionDecoder | QNN_CONTEXT_BINARY | float |
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| BEVFusionEncoder1 | PRECOMPILED_QNN_ONNX | float |
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| BEVFusionEncoder1 | PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| BEVFusionEncoder1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8
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| BEVFusionEncoder1 |
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| BEVFusionEncoder1 |
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| BEVFusionEncoder1 | QNN_CONTEXT_BINARY | float | Snapdragon®
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| BEVFusionEncoder1 | QNN_CONTEXT_BINARY | float | Snapdragon®
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| BEVFusionEncoder2 | PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| BEVFusionEncoder2 |
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| BEVFusionEncoder2 |
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| BEVFusionEncoder2 |
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| BEVFusionEncoder2 |
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| BEVFusionEncoder3 |
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| BEVFusionEncoder3 |
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| BEVFusionEncoder4 |
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## License
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* The license for the original implementation of BEVFusion can be found
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BeVFusion is a machine learning model for generating a birds eye view represenation from the sensors(cameras) mounted on a vehicle.
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This is based on the implementation of BEVFusion found [here](https://github.com/mit-han-lab/bevfusion).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/bevfusion_det) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-precompiled_qnn_onnx-float-qualcomm_snapdragon_x2_elite.zip)
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-precompiled_qnn_onnx-float-qualcomm_snapdragon_x_elite.zip)
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-precompiled_qnn_onnx-float-qualcomm_snapdragon_8gen3.zip)
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-precompiled_qnn_onnx-float-qualcomm_snapdragon_8_elite_for_galaxy.zip)
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-precompiled_qnn_onnx-float-qualcomm_snapdragon_8_elite_gen5.zip)
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| QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-qnn_context_binary-float-qualcomm_snapdragon_x2_elite.zip)
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| QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-qnn_context_binary-float-qualcomm_snapdragon_x_elite.zip)
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| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-qnn_context_binary-float-qualcomm_snapdragon_8gen3.zip)
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| QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 (Proxy) | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-qnn_context_binary-float-qualcomm_qcs8275_proxy.zip)
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| QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-qnn_context_binary-float-qualcomm_sa8775p.zip)
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| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-qnn_context_binary-float-qualcomm_snapdragon_8_elite_for_galaxy.zip)
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| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-qnn_context_binary-float-qualcomm_snapdragon_8_elite_gen5.zip)
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| QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.47.0/bevfusion_det-qnn_context_binary-float-qualcomm_sa7255p.zip)
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For more device-specific assets and performance metrics, visit **[BEVFusion on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/bevfusion_det)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/bevfusion_det) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [BEVFusion on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/bevfusion_det) for usage instructions.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| BEVFusionDecoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 7.024 ms | 24 - 24 MB | NPU
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| BEVFusionDecoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 13.172 ms | 23 - 23 MB | NPU
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| BEVFusionDecoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.876 ms | 16 - 23 MB | NPU
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| BEVFusionDecoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.776 ms | 11 - 22 MB | NPU
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| BEVFusionDecoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.742 ms | 18 - 28 MB | NPU
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| BEVFusionDecoder | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 7.46 ms | 5 - 5 MB | NPU
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| BEVFusionDecoder | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 13.195 ms | 5 - 5 MB | NPU
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| BEVFusionDecoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 9.87 ms | 5 - 12 MB | NPU
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| BEVFusionDecoder | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 (Proxy) | 92.863 ms | 1 - 9 MB | NPU
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| BEVFusionDecoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.752 ms | 0 - 13 MB | NPU
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| BEVFusionDecoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.722 ms | 5 - 14 MB | NPU
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| BEVFusionEncoder1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 379.084 ms | 102 - 102 MB | NPU
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| BEVFusionEncoder1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 688.815 ms | 101 - 101 MB | NPU
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| BEVFusionEncoder1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 520.981 ms | 49 - 61 MB | NPU
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| BEVFusionEncoder1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 417.438 ms | 37 - 50 MB | NPU
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| BEVFusionEncoder1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 346.26 ms | 50 - 60 MB | NPU
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| BEVFusionEncoder1 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 380.244 ms | 12 - 12 MB | NPU
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| BEVFusionEncoder1 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 686.852 ms | 12 - 12 MB | NPU
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| BEVFusionEncoder1 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 533.864 ms | 13 - 20 MB | NPU
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| BEVFusionEncoder1 | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 (Proxy) | 1096.823 ms | 3 - 10 MB | NPU
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| BEVFusionEncoder1 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 420.597 ms | 12 - 25 MB | NPU
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| BEVFusionEncoder1 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 348.562 ms | 13 - 23 MB | NPU
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| BEVFusionEncoder2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 2365.465 ms | 1058 - 1058 MB | NPU
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| BEVFusionEncoder2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 3423.239 ms | 1058 - 1058 MB | NPU
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| BEVFusionEncoder2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2723.631 ms | 516 - 522 MB | NPU
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| BEVFusionEncoder2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2455.607 ms | 592 - 603 MB | NPU
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| BEVFusionEncoder2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2198.236 ms | 352 - 362 MB | NPU
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| BEVFusionEncoder2 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 2419.649 ms | 17 - 17 MB | NPU
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| BEVFusionEncoder2 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 3529.497 ms | 17 - 17 MB | NPU
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| BEVFusionEncoder2 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 2702.081 ms | 17 - 27 MB | NPU
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| BEVFusionEncoder2 | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 (Proxy) | 5600.369 ms | 1 - 10 MB | NPU
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| BEVFusionEncoder2 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 2452.24 ms | 17 - 30 MB | NPU
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| BEVFusionEncoder2 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 2198.58 ms | 17 - 26 MB | NPU
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| BEVFusionEncoder3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 356.884 ms | 610 - 610 MB | NPU
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| BEVFusionEncoder3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 694.699 ms | 610 - 610 MB | NPU
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| BEVFusionEncoder3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 593.182 ms | 596 - 608 MB | NPU
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| BEVFusionEncoder3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 497.271 ms | 585 - 596 MB | NPU
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| BEVFusionEncoder3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 370.626 ms | 511 - 521 MB | NPU
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| BEVFusionEncoder3 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 358.597 ms | 610 - 610 MB | NPU
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| BEVFusionEncoder3 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 699.571 ms | 610 - 610 MB | NPU
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| BEVFusionEncoder3 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 585.962 ms | 609 - 621 MB | NPU
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| BEVFusionEncoder3 | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 (Proxy) | 1167.477 ms | 611 - 620 MB | NPU
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| BEVFusionEncoder3 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 497.35 ms | 607 - 621 MB | NPU
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| BEVFusionEncoder3 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 368.721 ms | 609 - 620 MB | NPU
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| BEVFusionEncoder4 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 7.808 ms | 13 - 13 MB | NPU
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| BEVFusionEncoder4 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 11.996 ms | 18 - 18 MB | NPU
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| BEVFusionEncoder4 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.162 ms | 31 - 37 MB | NPU
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| BEVFusionEncoder4 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.748 ms | 11 - 23 MB | NPU
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| BEVFusionEncoder4 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.828 ms | 33 - 43 MB | NPU
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| BEVFusionEncoder4 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 8.287 ms | 19 - 19 MB | NPU
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| BEVFusionEncoder4 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 11.954 ms | 19 - 19 MB | NPU
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| BEVFusionEncoder4 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 9.01 ms | 19 - 25 MB | NPU
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| BEVFusionEncoder4 | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 (Proxy) | 25.188 ms | 18 - 27 MB | NPU
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| BEVFusionEncoder4 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.741 ms | 17 - 30 MB | NPU
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| BEVFusionEncoder4 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.783 ms | 18 - 28 MB | NPU
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## License
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* The license for the original implementation of BEVFusion can be found
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