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 2.45, ONNX Runtime 1.25.0 | Download |
| QNN_DLC | float | Universal | QAIRT 2.45 | Download |
| TFLITE | float | Universal | QAIRT 2.45 | 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® X2 Elite | 28.127 ms | 5 - 5 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® X Elite | 70.474 ms | 70 - 70 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 55.379 ms | 0 - 652 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 129.401 ms | 2 - 660 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 69.11 ms | 4 - 8 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Qualcomm® QCS8450 | 129.401 ms | 2 - 660 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 77.277 ms | 3 - 9 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 28.356 ms | 2 - 523 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Elite Mobile | 36.647 ms | 2 - 499 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 36.647 ms | 2 - 499 MB | NPU |
| Depth-Anything-V3 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 70.474 ms | 70 - 70 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® X2 Elite | 35.283 ms | 3 - 3 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® X Elite | 79.301 ms | 3 - 3 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 61.384 ms | 0 - 644 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 152.031 ms | 3 - 679 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8275 | 186.696 ms | 1 - 491 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 79.138 ms | 3 - 6 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA8775P | 85.478 ms | 1 - 491 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA8650P | 85.478 ms | 1 - 491 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA8255P | 85.478 ms | 1 - 491 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8450 | 152.031 ms | 3 - 679 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 85.424 ms | 3 - 9 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 33.332 ms | 3 - 520 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA7255P | 186.696 ms | 1 - 491 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 43.449 ms | 2 - 503 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA8295P | 118.847 ms | 0 - 504 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 43.449 ms | 2 - 503 MB | NPU |
| Depth-Anything-V3 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 79.301 ms | 3 - 3 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 54.461 ms | 1 - 604 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 120.349 ms | 1 - 609 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8275 | 180.613 ms | 2 - 467 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 74.952 ms | 1 - 12 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8775P | 81.181 ms | 1 - 467 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8650P | 81.181 ms | 1 - 467 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8255P | 81.181 ms | 1 - 467 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8450 | 120.349 ms | 1 - 609 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 81.472 ms | 1 - 81 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 30.77 ms | 1 - 487 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA7255P | 180.613 ms | 2 - 467 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Elite Mobile | 39.213 ms | 0 - 478 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8295P | 103.466 ms | 1 - 467 MB | NPU |
| Depth-Anything-V3 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 39.213 ms | 0 - 478 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.
