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---
emoji: 🚀
colorFrom: indigo
colorTo: purple
tags:
- depth-estimation
- mobile-optimized
- transformer
- onnx
- qualcomm
---
# 🔍 Depth Anything V2 - Ultra Fast
**State-of-the-Art Depth Estimation Meets Mobile Efficiency**
*Optimized for Snapdragon NPUs with 2X Speed Boost*
### ⚡ Benchmark Comparison
- Input resolution:518x518
Snapdragon 8 Gen2 (NPU Acceleration)
|Metric | depth_anything_v2.onnx | depth_anything_v2_mha.onnx | Improvement|
|-------|--------|-------------|--------|
|Latency | 152ms | 73ms | 2.08×|
|Memory | 102MB | 45MB | 2.26×|
### benchmark method
please intall qai_hub first
```
import qai_hub as hub
compile_job = hub.submit_compile_job(
model="depth_anything_v2.onnx",
device=hub.Device("Samsung Galaxy S23 (Family)"),
)
assert isinstance(compile_job, hub.CompileJob)
profile_job = hub.submit_profile_job(
model=compile_job.get_target_model(),
device=hub.Device("Samsung Galaxy S23 (Family)"),
)
```
### reference
- [qaihub](https://aihub.qualcomm.com/)
- [qai depth anything result](https://aihub.qualcomm.com/mobile/models/depth_anything_v2?domain=Computer+Vision&useCase=Depth+Estimation&chipsets=Snapdragon+8+Gen+2)
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