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® X Elite | 75.248 ms | 70 - 70 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 58.528 ms | 0 - 735 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 73.879 ms | 0 - 82 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Qualcomm® QCS9075 | 104.306 ms | 3 - 9 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 39.515 ms | 2 - 561 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 34.254 ms | 5 - 602 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® X2 Elite | 35.133 ms | 71 - 71 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® X Elite | 78.177 ms | 3 - 3 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 55.398 ms | 3 - 754 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 177.886 ms | 1 - 562 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 76.082 ms | 3 - 548 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA8775P | 82.293 ms | 1 - 570 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS9075 | 108.321 ms | 3 - 9 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 135.861 ms | 1 - 770 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA7255P | 177.886 ms | 1 - 562 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA8295P | 121.032 ms | 0 - 568 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 40.431 ms | 3 - 583 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 35.181 ms | 3 - 599 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® X2 Elite | 36.042 ms | 3 - 3 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 48.091 ms | 0 - 688 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 164.894 ms | 1 - 531 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 67.267 ms | 1 - 12 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8775P | 74.054 ms | 0 - 530 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS9075 | 86.302 ms | 0 - 81 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 103.967 ms | 2 - 697 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA7255P | 164.894 ms | 1 - 531 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8295P | 98.083 ms | 1 - 522 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 34.583 ms | 0 - 549 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 30.296 ms | 1 - 550 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.
