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
TFLITE	float	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	18.537 ms	3 - 418 MB	NPU
Depth-Anything-V2	ONNX	float	Snapdragon® 8 Elite Mobile	22.839 ms	2 - 433 MB	NPU
Depth-Anything-V2	ONNX	float	Snapdragon® X2 Elite	18.701 ms	48 - 48 MB	NPU
Depth-Anything-V2	ONNX	float	Snapdragon® X Elite	45.117 ms	47 - 47 MB	NPU
Depth-Anything-V2	ONNX	float	Snapdragon® X Elite	45.117 ms	47 - 47 MB	NPU
Depth-Anything-V2	ONNX	float	Snapdragon® 8 Gen 3 Mobile	31.951 ms	1 - 571 MB	NPU
Depth-Anything-V2	ONNX	float	Qualcomm® QCS8550 (Proxy)	43.774 ms	0 - 58 MB	NPU
Depth-Anything-V2	ONNX	float	Qualcomm® QCS9075	54.667 ms	3 - 9 MB	NPU
Depth-Anything-V2	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	22.839 ms	2 - 433 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	19.727 ms	3 - 381 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® 8 Elite Mobile	24.639 ms	0 - 385 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® X2 Elite	20.327 ms	3 - 3 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® X Elite	51.334 ms	3 - 3 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® X Elite	51.334 ms	3 - 3 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	38.975 ms	1 - 513 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	142.165 ms	1 - 387 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	51.015 ms	3 - 50 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® SA8775P	56.628 ms	1 - 370 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® SA8775P	56.628 ms	1 - 370 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® SA8775P	56.628 ms	1 - 370 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® QCS9075	62.208 ms	3 - 9 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	92.841 ms	3 - 488 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® SA7255P	142.165 ms	1 - 387 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Qualcomm® SA8295P	82.702 ms	1 - 363 MB	NPU
Depth-Anything-V2	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	24.639 ms	0 - 385 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	81.828 ms	2 - 2006 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	93.815 ms	2 - 2015 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® X2 Elite	70.672 ms	2 - 2 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® X Elite	137.776 ms	2 - 2 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® X Elite	137.776 ms	2 - 2 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	113.813 ms	0 - 2295 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	260.877 ms	2 - 1997 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	165.506 ms	2 - 1578 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® SA8775P	141.335 ms	2 - 2000 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® SA8775P	141.335 ms	2 - 2000 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® SA8775P	141.335 ms	2 - 2000 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® QCS9075	142.128 ms	2 - 5 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Qualcomm® SA7255P	260.877 ms	2 - 1997 MB	NPU
Depth-Anything-V2	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	93.815 ms	2 - 2015 MB	NPU
Depth-Anything-V2	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	19.63 ms	1 - 389 MB	NPU
Depth-Anything-V2	TFLITE	float	Snapdragon® 8 Elite Mobile	24.623 ms	1 - 396 MB	NPU
Depth-Anything-V2	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	38.771 ms	0 - 511 MB	NPU
Depth-Anything-V2	TFLITE	float	Qualcomm® QCS8275 (Proxy)	142.647 ms	1 - 395 MB	NPU
Depth-Anything-V2	TFLITE	float	Qualcomm® QCS8550 (Proxy)	52.273 ms	1 - 12 MB	NPU
Depth-Anything-V2	TFLITE	float	Qualcomm® SA8775P	56.633 ms	1 - 379 MB	NPU
Depth-Anything-V2	TFLITE	float	Qualcomm® SA8775P	56.633 ms	1 - 379 MB	NPU
Depth-Anything-V2	TFLITE	float	Qualcomm® SA8775P	56.633 ms	1 - 379 MB	NPU
Depth-Anything-V2	TFLITE	float	Qualcomm® QCS9075	61.348 ms	1 - 57 MB	NPU
Depth-Anything-V2	TFLITE	float	Qualcomm® QCS8450 (Proxy)	93.061 ms	1 - 490 MB	NPU
Depth-Anything-V2	TFLITE	float	Qualcomm® SA7255P	142.647 ms	1 - 395 MB	NPU
Depth-Anything-V2	TFLITE	float	Qualcomm® SA8295P	82.465 ms	1 - 370 MB	NPU
Depth-Anything-V2	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	24.623 ms	1 - 396 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.