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 1.24.3	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® 8 Elite Gen 5 Mobile	33.653 ms	5 - 645 MB	NPU
Depth-Anything-V3	ONNX	float	Snapdragon® X2 Elite	32.403 ms	71 - 71 MB	NPU
Depth-Anything-V3	ONNX	float	Snapdragon® X Elite	77.059 ms	70 - 70 MB	NPU
Depth-Anything-V3	ONNX	float	Snapdragon® 8 Gen 3 Mobile	55.141 ms	0 - 815 MB	NPU
Depth-Anything-V3	ONNX	float	Qualcomm® QCS8550 (Proxy)	75.937 ms	0 - 79 MB	NPU
Depth-Anything-V3	ONNX	float	Qualcomm® QCS9075	97.015 ms	3 - 9 MB	NPU
Depth-Anything-V3	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	41.438 ms	2 - 642 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	42.341 ms	3 - 577 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Snapdragon® X2 Elite	44.403 ms	3 - 3 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Snapdragon® X Elite	101.353 ms	3 - 3 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	77.829 ms	3 - 731 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	223.72 ms	1 - 551 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	102.425 ms	3 - 6 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Qualcomm® SA8775P	109.455 ms	0 - 546 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Qualcomm® QCS9075	128.486 ms	3 - 9 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	170.993 ms	3 - 693 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Qualcomm® SA7255P	223.72 ms	1 - 551 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Qualcomm® SA8295P	141.266 ms	1 - 539 MB	NPU
Depth-Anything-V3	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	57.121 ms	0 - 567 MB	NPU
Depth-Anything-V3	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	30.907 ms	1 - 486 MB	NPU
Depth-Anything-V3	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	55.095 ms	1 - 614 MB	NPU
Depth-Anything-V3	TFLITE	float	Qualcomm® QCS8275 (Proxy)	184.45 ms	1 - 473 MB	NPU
Depth-Anything-V3	TFLITE	float	Qualcomm® QCS8550 (Proxy)	76.653 ms	1 - 12 MB	NPU
Depth-Anything-V3	TFLITE	float	Qualcomm® SA8775P	83.506 ms	1 - 473 MB	NPU
Depth-Anything-V3	TFLITE	float	Qualcomm® QCS9075	96.949 ms	0 - 80 MB	NPU
Depth-Anything-V3	TFLITE	float	Qualcomm® QCS8450 (Proxy)	121.152 ms	2 - 623 MB	NPU
Depth-Anything-V3	TFLITE	float	Qualcomm® SA7255P	184.45 ms	1 - 473 MB	NPU
Depth-Anything-V3	TFLITE	float	Qualcomm® SA8295P	105.618 ms	1 - 472 MB	NPU
Depth-Anything-V3	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	39.651 ms	1 - 484 MB	NPU

License

• The license for the original implementation of Depth-Anything-V3 can be found here.

References

• Depth Anything 3: Recovering the visual space from any views
• 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.