--- title: Depth-Anything-V3 canonical_url: "https://www.modelscope.cn/models/qualcomm/Depth-Anything-V3" md_url: "https://www.modelscope.cn/models/qualcomm/Depth-Anything-V3.md" repository: qualcomm/Depth-Anything-V3 last_updated: 2026-06-16 license: other library_name: - pytorch frameworks: - pytorch downloads: 43 stars: 0 tags: - android --- # Depth-Anything-V3 > Depth-Anything-V3 - qualcomm 在 ModelScope 开源的模型。Depth-Anything-V3: Optimized for Qualcomm Devices qualcomm/Depth-Anything-V3 是 ModelScope 魔搭社区上的机器学习模型，采用 other 许可。 - **Repository**: qualcomm/Depth-Anything-V3 - **License**: other - **Tags**: android - **Downloads**: 43 - **Stars**: 0 - **Last updated**: 2026-06-16 Source: https://www.modelscope.cn/models/qualcomm/Depth-Anything-V3 --- ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v3/web-assets/model_demo.png) # 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](https://github.com/ByteDance-Seed/Depth-Anything-3). 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/blob/main/src/qai_hub_models/models/depth_anything_v3) 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.com) 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 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v3/releases/v0.56.0/depth_anything_v3-onnx-float.zip) | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v3/releases/v0.56.0/depth_anything_v3-qnn_dlc-float.zip) | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/depth_anything_v3/releases/v0.56.0/depth_anything_v3-tflite-float.zip) For more device-specific assets and performance metrics, visit **[Depth-Anything-V3 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/depth_anything_v3)**. ### Option 2: Export with Custom Configurations Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/depth_anything_v3) 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](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/depth_anything_v3) 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® X2 Elite | 27.979 ms | 210 - 210 MB | NPU | Depth-Anything-V3 | ONNX | float | Snapdragon® X Elite | 70.364 ms | 179 - 179 MB | NPU | Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 55.057 ms | 5 - 646 MB | NPU | Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 129.194 ms | 5 - 654 MB | NPU | Depth-Anything-V3 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 69.21 ms | 0 - 81 MB | NPU | Depth-Anything-V3 | ONNX | float | Qualcomm® QCS8450 | 129.194 ms | 5 - 654 MB | NPU | Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Elite Mobile | 36.649 ms | 2 - 500 MB | NPU | Depth-Anything-V3 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 28.29 ms | 3 - 518 MB | NPU | Depth-Anything-V3 | ONNX | float | Qualcomm® QCS9075 | 81.427 ms | 4 - 49 MB | NPU | Depth-Anything-V3 | ONNX | float | Qualcomm® QCS8750 | 36.649 ms | 2 - 500 MB | NPU | Depth-Anything-V3 | ONNX | float | Qualcomm® QCS7181 | 70.364 ms | 179 - 179 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Snapdragon® X2 Elite | 35.178 ms | 3 - 3 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Snapdragon® X Elite | 78.942 ms | 3 - 3 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 61.065 ms | 0 - 644 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 150.506 ms | 0 - 675 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8275 | 186.786 ms | 2 - 492 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 80.643 ms | 3 - 417 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8450 | 150.506 ms | 0 - 675 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 43.145 ms | 3 - 504 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA8295P | 118.767 ms | 0 - 504 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 33.344 ms | 2 - 520 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Qualcomm® SA7255P | 186.786 ms | 2 - 492 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS9075 | 98.235 ms | 5 - 11 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS8750 | 43.145 ms | 3 - 504 MB | NPU | Depth-Anything-V3 | QNN_DLC | float | Qualcomm® QCS7181 | 78.942 ms | 3 - 3 MB | NPU | Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 54.351 ms | 1 - 596 MB | NPU | Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 118.325 ms | 1 - 611 MB | NPU | Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8275 | 180.792 ms | 1 - 467 MB | NPU | Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 74.322 ms | 1 - 9 MB | NPU | Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8775P | 935.6 ms | 25 - 50 MB | CPU | Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8650P | 935.6 ms | 25 - 50 MB | CPU | Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8255P | 935.6 ms | 25 - 50 MB | CPU | Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8450 | 118.325 ms | 1 - 611 MB | NPU | Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Elite Mobile | 39.229 ms | 1 - 474 MB | NPU | Depth-Anything-V3 | TFLITE | float | Qualcomm® SA8295P | 103.452 ms | 1 - 466 MB | NPU | Depth-Anything-V3 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 30.711 ms | 1 - 488 MB | NPU | Depth-Anything-V3 | TFLITE | float | Qualcomm® SA7255P | 180.792 ms | 1 - 467 MB | NPU | Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS9075 | 95.467 ms | 0 - 80 MB | NPU | Depth-Anything-V3 | TFLITE | float | Qualcomm® QCS8750 | 39.229 ms | 1 - 474 MB | NPU ## License * The license for the original implementation of Depth-Anything-V3 can be found [here](https://github.com/ByteDance-Seed/Depth-Anything-3/blob/main/LICENSE). ## References * [Depth Anything 3: Recovering the visual space from any views](https://arxiv.org/abs/2511.10647) * [Source Model Implementation](https://github.com/ByteDance-Seed/Depth-Anything-3) ## Community * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI. * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).