---
title: Midas-V2
canonical_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/Midas-V2"
md_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/Midas-V2.md"
repository: Qualcomm-AI-Hub/Midas-V2
last_updated: 2026-10-16
license: mit
downloads: 0
stars: 0
tags:
  - android
---

# Midas-V2

> Midas-V2 - Qualcomm-AI-Hub 在 ModelScope 开源的模型。Midas-V2: Optimized for Qualcomm Devices

Qualcomm-AI-Hub/Midas-V2 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可。

- **Repository**: Qualcomm-AI-Hub/Midas-V2
- **License**: mit
- **Tags**: android
- **Downloads**: 0
- **Stars**: 0
- **Last updated**: 2026-10-16

Source: https://www.modelscope.cn/models/Qualcomm-AI-Hub/Midas-V2

---

![](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/midas/web-assets/model_demo.png)

# Midas-V2: Optimized for Qualcomm Devices

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

This is based on the implementation of Midas-V2 found [here](https://github.com/isl-org/MiDaS).
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/midas) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.cn) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) 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 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/midas/releases/v0.62.1/midas-onnx-float.zip)
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/midas/releases/v0.62.1/midas-onnx-w8a8.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/midas/releases/v0.62.1/midas-qnn_dlc-float.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/midas/releases/v0.62.1/midas-qnn_dlc-w8a8.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/midas/releases/v0.62.1/midas-tflite-float.zip)
| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/midas/releases/v0.62.1/midas-tflite-w8a8.zip)

For more device-specific assets and performance metrics, visit **[Midas-V2 on Qualcomm® AI Hub](https://aihub.qualcomm.cn/models/midas)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/midas) 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 [Midas-V2 on GitHub](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/midas) for usage instructions.

## Model Details

**Model Type:** Model_use_case.depth_estimation

**Model Stats:**
- Input resolution: 256x256
- Model checkpoint: MiDaS_small
- Model size (float): 63.2 MB
- Model size (w8a8): 16.9 MB
- Number of parameters: 16.6M

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| Midas-V2 | ONNX | float | Snapdragon® X2 Elite | 1.317 ms | 2 - 2 MB | NPU
| Midas-V2 | ONNX | float | Snapdragon® X Elite | 2.763 ms | 36 - 36 MB | NPU
| Midas-V2 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.933 ms | 0 - 196 MB | NPU
| Midas-V2 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 6.51 ms | 1 - 199 MB | NPU
| Midas-V2 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 3.925 ms | 1 - 5 MB | NPU
| Midas-V2 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.727 ms | 0 - 41 MB | NPU
| Midas-V2 | ONNX | float | Qualcomm® QCS8450 | 6.51 ms | 1 - 199 MB | NPU
| Midas-V2 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 3.664 ms | 1 - 4 MB | NPU
| Midas-V2 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.763 ms | 36 - 36 MB | NPU
| Midas-V2 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.47 ms | 0 - 163 MB | NPU
| Midas-V2 | ONNX | float | Snapdragon® 8 Elite Mobile | 1.47 ms | 0 - 163 MB | NPU
| Midas-V2 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.26 ms | 0 - 163 MB | NPU
| Midas-V2 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.616 ms | 1 - 1 MB | NPU
| Midas-V2 | ONNX | w8a8 | Snapdragon® X Elite | 1.333 ms | 19 - 19 MB | NPU
| Midas-V2 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.934 ms | 0 - 102 MB | NPU
| Midas-V2 | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.857 ms | 0 - 94 MB | NPU
| Midas-V2 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.669 ms | 0 - 3 MB | NPU
| Midas-V2 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.378 ms | 0 - 4 MB | NPU
| Midas-V2 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.328 ms | 0 - 22 MB | NPU
| Midas-V2 | ONNX | w8a8 | Qualcomm® QCS8450 | 1.857 ms | 0 - 94 MB | NPU
| Midas-V2 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.482 ms | 0 - 3 MB | NPU
| Midas-V2 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.333 ms | 19 - 19 MB | NPU
| Midas-V2 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 8.898 ms | 0 - 187 MB | NPU
| Midas-V2 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.647 ms | 0 - 181 MB | NPU
| Midas-V2 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.762 ms | 0 - 61 MB | NPU
| Midas-V2 | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.762 ms | 0 - 61 MB | NPU
| Midas-V2 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.661 ms | 0 - 60 MB | NPU
| Midas-V2 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.647 ms | 0 - 181 MB | NPU
| Midas-V2 | QNN_DLC | float | Snapdragon® X2 Elite | 1.543 ms | 1 - 1 MB | NPU
| Midas-V2 | QNN_DLC | float | Snapdragon® X Elite | 3.271 ms | 1 - 1 MB | NPU
| Midas-V2 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.114 ms | 0 - 193 MB | NPU
| Midas-V2 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 6.831 ms | 0 - 192 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 4.091 ms | 1 - 4 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.044 ms | 1 - 3 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® SA8775P | 4.261 ms | 1 - 160 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® SA8650P | 4.261 ms | 1 - 160 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® SA8255P | 4.261 ms | 1 - 160 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® QCS8450 | 6.831 ms | 0 - 192 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.017 ms | 1 - 3 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.271 ms | 1 - 1 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.603 ms | 0 - 160 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® SA7255P | 12.063 ms | 1 - 158 MB | NPU
| Midas-V2 | QNN_DLC | float | Qualcomm® SA8295P | 5.45 ms | 1 - 155 MB | NPU
| Midas-V2 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.603 ms | 0 - 160 MB | NPU
| Midas-V2 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.297 ms | 1 - 164 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.714 ms | 0 - 0 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.451 ms | 0 - 0 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.926 ms | 0 - 82 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.91 ms | 0 - 84 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 5.65 ms | 0 - 2 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.337 ms | 0 - 3 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.32 ms | 0 - 2 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.585 ms | 0 - 54 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® SA8650P | 1.585 ms | 0 - 54 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® SA8255P | 1.585 ms | 0 - 54 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 1.91 ms | 0 - 84 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.439 ms | 0 - 2 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.451 ms | 0 - 0 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 9.172 ms | 0 - 179 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.616 ms | 0 - 172 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.694 ms | 0 - 47 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.88 ms | 0 - 48 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.237 ms | 0 - 47 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.694 ms | 0 - 47 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.578 ms | 0 - 53 MB | NPU
| Midas-V2 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.616 ms | 0 - 172 MB | NPU
| Midas-V2 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.116 ms | 0 - 227 MB | NPU
| Midas-V2 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 6.806 ms | 0 - 215 MB | NPU
| Midas-V2 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 4.11 ms | 0 - 39 MB | NPU
| Midas-V2 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.018 ms | 0 - 3 MB | NPU
| Midas-V2 | TFLITE | float | Qualcomm® SA8775P | 4.301 ms | 0 - 174 MB | NPU
| Midas-V2 | TFLITE | float | Qualcomm® SA8650P | 4.301 ms | 0 - 174 MB | NPU
| Midas-V2 | TFLITE | float | Qualcomm® SA8255P | 4.301 ms | 0 - 174 MB | NPU
| Midas-V2 | TFLITE | float | Qualcomm® QCS8450 | 6.806 ms | 0 - 215 MB | NPU
| Midas-V2 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.027 ms | 0 - 39 MB | NPU
| Midas-V2 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.607 ms | 0 - 174 MB | NPU
| Midas-V2 | TFLITE | float | Qualcomm® SA7255P | 12.109 ms | 0 - 171 MB | NPU
| Midas-V2 | TFLITE | float | Qualcomm® SA8295P | 5.461 ms | 0 - 156 MB | NPU
| Midas-V2 | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.607 ms | 0 - 174 MB | NPU
| Midas-V2 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.295 ms | 0 - 174 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.755 ms | 0 - 79 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.619 ms | 0 - 84 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 5.187 ms | 0 - 29 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.146 ms | 0 - 21 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.085 ms | 0 - 19 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® SA8775P | 1.38 ms | 0 - 50 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® SA8650P | 1.38 ms | 0 - 50 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® SA8255P | 1.38 ms | 0 - 50 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® QCS8450 | 1.619 ms | 0 - 84 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.218 ms | 0 - 20 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 8.385 ms | 0 - 179 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.383 ms | 0 - 169 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.606 ms | 0 - 50 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® SA7255P | 2.513 ms | 0 - 46 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Qualcomm® SA8295P | 1.992 ms | 0 - 44 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.606 ms | 0 - 50 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.508 ms | 0 - 47 MB | NPU
| Midas-V2 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.383 ms | 0 - 169 MB | NPU

## License
* The license for the original implementation of Midas-V2 can be found
  [here](https://github.com/isl-org/MiDaS/blob/master/LICENSE).

## References
* [Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer](https://arxiv.org/abs/1907.01341v3)
* [Source Model Implementation](https://github.com/isl-org/MiDaS)

## Community
* For questions or feedback, chat with our engineers in [Qualcomm® AI Hub Workbench](https://workbench.aihub.qualcomm.cn).