Depth-Anything-V2: Optimized for Qualcomm Devices

Depth Anything is designed for estimating depth at each point in an image.

This is based on the implementation of Depth-Anything-V2 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
QNN_DLC	w8a16	Universal	QAIRT 2.45	Download

For more device-specific assets and performance metrics, visit Depth-Anything-V2 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-V2 on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.depth_estimation

Model Stats:

• Model checkpoint: DepthAnything_V2_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-V2	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	35.293 ms	5 - 704 MB	NPU
Depth-Anything-V2	ONNX	float	Snapdragon® X2 Elite	34.367 ms	52 - 52 MB	NPU
Depth-Anything-V2	ONNX	float	Snapdragon® X Elite	75.623 ms	51 - 51 MB	NPU
Depth-Anything-V2	ONNX	float	Snapdragon® 8 Gen 3 Mobile	52.9 ms	0 - 937 MB	NPU
Depth-Anything-V2	ONNX	float	Qualcomm® QCS8550 (Proxy)	80.376 ms	0 - 55 MB	NPU
Depth-Anything-V2	ONNX	float	Qualcomm® QCS9075	90.888 ms	3 - 9 MB	NPU
Depth-Anything-V2	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	45.732 ms	2 - 785 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	37.589 ms	3 - 518 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® X2 Elite	38.653 ms	3 - 3 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® X Elite	94.036 ms	3 - 3 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	73.253 ms	3 - 697 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	207.978 ms	0 - 515 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	96.771 ms	3 - 5 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® SA8775P	100.748 ms	1 - 507 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® QCS9075	101.521 ms	3 - 9 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	174.105 ms	1 - 586 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® SA7255P	207.978 ms	0 - 515 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® SA8295P	144.619 ms	0 - 532 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	53.383 ms	0 - 503 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	85.959 ms	2 - 1938 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® X2 Elite	74.312 ms	2 - 2 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® X Elite	146.785 ms	2 - 2 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	121.4 ms	0 - 2245 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	278.642 ms	2 - 1855 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	151.589 ms	2 - 5 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® SA8775P	150.435 ms	2 - 1855 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® QCS9075	157.344 ms	1 - 4 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® SA7255P	278.642 ms	2 - 1855 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	98.782 ms	2 - 1910 MB	NPU

License

• The license for the original implementation of Depth-Anything-V2 can be found here.

References

• Depth Anything V2
• 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.