Depth-Anything-V3: Optimized for Qualcomm Devices
Depth Anything 3 (DA3), a model that predicts spatially consistent geometry from arbitrary visual inputs, with or without known camera poses.
This is based on the implementation of Depth-Anything-V3 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 |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
For more device-specific assets and performance metrics, visit Depth-Anything-V3 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 Depth-Anything-V3 on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.depth_estimation
Model Stats:
- Model checkpoint: da3-small
- Input resolution: 518x518
- Number of parameters: 24.7M
- Model size (float): 94.3 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 34.313 ms | 5 - 601 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® X2 Elite | 35.56 ms | 71 - 71 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® X Elite | 75.07 ms | 70 - 70 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 59.025 ms | 1 - 755 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 74.002 ms | 0 - 80 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Qualcomm® QCS9075 | 104.563 ms | 3 - 9 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 39.529 ms | 2 - 562 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 34.249 ms | 3 - 596 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® X2 Elite | 35.621 ms | 3 - 3 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® X Elite | 78.247 ms | 3 - 3 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 54.645 ms | 2 - 743 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 177.731 ms | 0 - 561 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 76.66 ms | 3 - 6 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA8775P | 82.39 ms | 1 - 564 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS9075 | 107.182 ms | 3 - 9 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 134.58 ms | 3 - 772 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA7255P | 177.731 ms | 0 - 561 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA8295P | 121.077 ms | 3 - 571 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 40.642 ms | 3 - 584 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 30.766 ms | 1 - 549 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 48.423 ms | 1 - 691 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 164.442 ms | 0 - 529 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 67.175 ms | 1 - 5 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8775P | 73.663 ms | 1 - 531 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS9075 | 86.491 ms | 1 - 82 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 103.313 ms | 0 - 691 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA7255P | 164.442 ms | 0 - 529 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8295P | 97.772 ms | 1 - 521 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 34.571 ms | 0 - 535 MB | NPU |
License
- The license for the original implementation of Depth-Anything-V3 can be found here.
References
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.
