---
title: Segment-Anything-Model-3
canonical_url: "https://www.modelscope.cn/models/qualcomm/Segment-Anything-Model-3"
md_url: "https://www.modelscope.cn/models/qualcomm/Segment-Anything-Model-3.md"
repository: qualcomm/Segment-Anything-Model-3
last_updated: 2026-10-22
license: other
pipeline_tag: image-segmentation
tasks:
  - image-segmentation
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 0
stars: 0
tags:
  - foundation
  - android
---

# Segment-Anything-Model-3

> Segment-Anything-Model-3 - qualcomm 在 ModelScope 开源的模型。Segment-Anything-Model-3: Optimized for Qualcomm Devices

qualcomm/Segment-Anything-Model-3 是 ModelScope 魔搭社区上的image-segmentation模型，采用 other 许可。

- **Repository**: qualcomm/Segment-Anything-Model-3
- **License**: other
- **Tasks**: image-segmentation
- **Tags**: foundation, android
- **Downloads**: 0
- **Stars**: 0
- **Last updated**: 2026-10-22

Source: https://www.modelscope.cn/models/qualcomm/Segment-Anything-Model-3

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam3/web-assets/model_demo.png)

# Segment-Anything-Model-3: Optimized for Qualcomm Devices

SAM3 (Segment Anything with Concepts) extends SAM2 with open-vocabulary segmentation, producing bounding boxes and masks for objects matching a natural-language prompt.

This is based on the implementation of Segment-Anything-Model-3 found [here](https://github.com/facebookresearch/sam3).
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/v0.65.0/src/qai_hub_models/models/sam3) 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
Due to licensing restrictions, we cannot distribute pre-exported model assets for this model.
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.65.0/src/qai_hub_models/models/sam3) 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

See our repository for [Segment-Anything-Model-3 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.65.0/src/qai_hub_models/models/sam3) for usage instructions.


## Model Details

**Model Type:** Model_use_case.semantic_segmentation

**Model Stats:**
- Input resolution: 1008x1008
- Model checkpoint: sam3
- Model size (SAM3Backbone) (float): 128 MB
- Model size (SAM3Transformer) (float): 23.7 MB
- Number of parameters (SAM3Backbone): 33.5M
- Number of parameters (SAM3Transformer): 6.22M

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| head | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 199.555 ms | 131 - 144 MB | NPU
| head | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 294.323 ms | 130 - 142 MB | NPU
| head | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 192.599 ms | 136 - 136 MB | NPU
| head | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 490.286 ms | 664 - 664 MB | NPU
| head | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 403.684 ms | 131 - 140 MB | NPU
| head | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 496.148 ms | 106 - 217 MB | NPU
| head | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 503.347 ms | 106 - 216 MB | NPU
| head | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 490.286 ms | 664 - 664 MB | NPU
| head | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 294.323 ms | 130 - 142 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 215.164 ms | 82 - 90 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 294.579 ms | 81 - 93 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 191.35 ms | 107 - 107 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 496.047 ms | 107 - 107 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 391.799 ms | 106 - 119 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 516.497 ms | 97 - 107 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 516.497 ms | 97 - 107 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-9075 | 502.313 ms | 106 - 278 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-X7181 | 496.047 ms | 107 - 107 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ Q-8750 | 294.579 ms | 81 - 93 MB | NPU
| head | QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | 545.962 ms | 106 - 112 MB | NPU
| vision_backbone | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1097.891 ms | 9 - 21 MB | NPU
| vision_backbone | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1295.951 ms | 8 - 19 MB | NPU
| vision_backbone | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 1006.596 ms | 265 - 265 MB | NPU
| vision_backbone | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 2117.037 ms | 951 - 951 MB | NPU
| vision_backbone | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1670.675 ms | 20 - 30 MB | NPU
| vision_backbone | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 2459.713 ms | 101 - 117 MB | NPU
| vision_backbone | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 2415.958 ms | 12 - 27 MB | NPU
| vision_backbone | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 2117.037 ms | 951 - 951 MB | NPU
| vision_backbone | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1295.951 ms | 8 - 19 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1099.147 ms | 5 - 13 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 1294.463 ms | 0 - 14 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 1011.608 ms | 12 - 12 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 2142.063 ms | 12 - 12 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 1638.502 ms | 0 - 8 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 2520.912 ms | 1 - 11 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 2520.912 ms | 1 - 11 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-9075 | 2413.638 ms | 12 - 132 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-X7181 | 2142.063 ms | 12 - 12 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ Q-8750 | 1294.463 ms | 0 - 14 MB | NPU
| vision_backbone | QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | 2799.918 ms | 11 - 21 MB | NPU

## License
* The license for the original implementation of Segment-Anything-Model-3 can be found
  [here](https://github.com/facebookresearch/sam3/blob/main/LICENSE).

## References
* [SAM 3: Segment Anything with Concepts](https://arxiv.org/abs/2511.16719)
* [Source Model Implementation](https://github.com/facebookresearch/sam3)

## 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).