---
title: Segment-Anything-Model-2
canonical_url: "https://www.modelscope.cn/models/qualcomm/Segment-Anything-Model-2"
md_url: "https://www.modelscope.cn/models/qualcomm/Segment-Anything-Model-2.md"
repository: qualcomm/Segment-Anything-Model-2
last_updated: 2026-02-13
license: other
pipeline_tag: image-segmentation
tasks:
  - image-segmentation
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 128
stars: 0
tags:
  - foundation
  - android
---

# Segment-Anything-Model-2

> Segment-Anything-Model-2 - qualcomm 在 ModelScope 开源的模型。Segment-Anything-Model-2: Optimized for Qualcomm Devices

qualcomm/Segment-Anything-Model-2 是 ModelScope 魔搭社区上的image-segmentation模型，采用 other 许可。

- **Repository**: qualcomm/Segment-Anything-Model-2
- **License**: other
- **Tasks**: image-segmentation
- **Tags**: foundation, android
- **Downloads**: 128
- **Stars**: 0
- **Last updated**: 2026-02-13

Source: https://www.modelscope.cn/models/qualcomm/Segment-Anything-Model-2

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam2/web-assets/model_demo.png)

# Segment-Anything-Model-2: Optimized for Qualcomm Devices

SAM 2, the successor to Meta's Segment Anything Model (SAM), is a cutting-edge tool designed for comprehensive object segmentation in both images and videos. It excels in handling complex visual data through a unified, promptable model architecture that supports real-time processing and zero-shot generalization.

This is based on the implementation of Segment-Anything-Model-2 found [here](https://github.com/facebookresearch/sam2).
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/sam2) 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 |
|---|---|---|---|---|
| QNN_DLC | float | Universal | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam2/releases/v0.46.0/sam2-qnn_dlc-float.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam2/releases/v0.46.0/sam2-qnn_dlc-w8a8.zip)
| TFLITE | w8a8 | Universal | QAIRT 2.42, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam2/releases/v0.46.0/sam2-tflite-w8a8.zip)

For more device-specific assets and performance metrics, visit **[Segment-Anything-Model-2 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sam2)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/sam2) 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 [Segment-Anything-Model-2 on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/sam2) for usage instructions.

## Model Details

**Model Type:** Model_use_case.semantic_segmentation

**Model Stats:**
- Model checkpoint: sam2.1_hiera_t
- Input resolution: 720p (720x1280)
- Number of parameters (SAM2Encoder): 33.5M
- Model size (SAM2Encoder) (float): 128 MB
- Number of parameters (SAM2Decoder): 6.22M
- Model size (SAM2Decoder) (float): 23.7 MB

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| SAM2Decoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 5.3 ms | 16 - 18 MB | NPU
| SAM2Decoder | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 8.834 ms | 4 - 223 MB | NPU
| SAM2Decoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.891 ms | 4 - 292 MB | NPU
| SAM2Decoder | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.585 ms | 4 - 201 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Snapdragon® X Elite | 2.181 ms | 4 - 4 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.251 ms | 0 - 103 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.819 ms | 4 - 82 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.883 ms | 4 - 6 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Qualcomm® SA8775P | 2.504 ms | 4 - 84 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 10.032 ms | 4 - 272 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 2.66 ms | 0 - 102 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Qualcomm® SA7255P | 3.819 ms | 4 - 82 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.025 ms | 1 - 83 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 2.567 ms | 4 - 209 MB | NPU
| SAM2Decoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.885 ms | 1 - 105 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 9.179 ms | 0 - 258 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 20.261 ms | 0 - 234 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 12.297 ms | 0 - 55 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Qualcomm® SA8775P | 13.798 ms | 0 - 230 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Qualcomm® QCM6690 | 51.734 ms | 13 - 204 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 15.596 ms | 0 - 240 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Qualcomm® SA7255P | 20.261 ms | 0 - 234 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Qualcomm® SA8295P | 14.151 ms | 0 - 238 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 6.822 ms | 0 - 238 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 16.179 ms | 14 - 211 MB | NPU
| SAM2Decoder | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 5.439 ms | 0 - 238 MB | NPU
| SAM2Encoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 203.499 ms | 12 - 16 MB | NPU
| SAM2Encoder | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 397.994 ms | 13 - 1948 MB | NPU
| SAM2Encoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 111.323 ms | 12 - 1672 MB | NPU
| SAM2Encoder | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 94.806 ms | 12 - 1651 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Snapdragon® X Elite | 83.626 ms | 3 - 3 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 55.731 ms | 3 - 2048 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 142.746 ms | 3 - 1666 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 80.919 ms | 3 - 6 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Qualcomm® SA8775P | 84.664 ms | 3 - 1667 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 1619.399 ms | 3 - 1890 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 143.099 ms | 3 - 2019 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Qualcomm® SA7255P | 142.746 ms | 3 - 1666 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 42.346 ms | 3 - 1588 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 112.547 ms | 3 - 1796 MB | NPU
| SAM2Encoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 83.05 ms | 3 - 1688 MB | NPU
| SAM2Encoder | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 60.18 ms | 4 - 1985 MB | NPU
| SAM2Encoder | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1794.231 ms | 90 - 115 MB | CPU
| SAM2Encoder | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 88.84 ms | 4 - 8 MB | NPU
| SAM2Encoder | TFLITE | w8a8 | Qualcomm® SA8775P | 87.736 ms | 4 - 1746 MB | NPU
| SAM2Encoder | TFLITE | w8a8 | Qualcomm® QCM6690 | 2482.98 ms | 19 - 276 MB | CPU
| SAM2Encoder | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 150.24 ms | 4 - 2053 MB | NPU
| SAM2Encoder | TFLITE | w8a8 | Qualcomm® SA7255P | 1794.231 ms | 90 - 115 MB | CPU
| SAM2Encoder | TFLITE | w8a8 | Qualcomm® SA8295P | 99.931 ms | 0 - 1760 MB | NPU
| SAM2Encoder | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 59.393 ms | 3 - 1791 MB | NPU
| SAM2Encoder | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1266.454 ms | 113 - 403 MB | CPU
| SAM2Encoder | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 39.88 ms | 4 - 1866 MB | NPU

## License
* The license for the original implementation of Segment-Anything-Model-2 can be found
  [here](https://github.com/facebookresearch/sam2/blob/main/LICENSE).

## References
* [SAM 2 Segment Anything in Images and Videos](https://arxiv.org/abs/2408.00714)
* [Source Model Implementation](https://github.com/facebookresearch/sam2)

## 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).