---
library_name: pytorch
license: other
tags:
- foundation
- android
pipeline_tag: image-segmentation

---

![](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/qualcomm/ai-hub-models/blob/main/src/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 |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam2/releases/v0.52.0/sam2-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/sam2/releases/v0.52.0/sam2-qnn_dlc-float.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam2/releases/v0.52.0/sam2-qnn_dlc-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/qualcomm/ai-hub-models/blob/main/src/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/qualcomm/ai-hub-models/blob/main/src/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 (encoder): 33.5M
- Model size (encoder) (float): 128 MB
- Number of parameters (decoder): 6.22M
- Model size (decoder) (float): 23.7 MB

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| decoder | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.149 ms | 17 - 242 MB | NPU
| decoder | ONNX | float | Snapdragon® X2 Elite | 3.22 ms | 15 - 15 MB | NPU
| decoder | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 4.729 ms | 16 - 328 MB | NPU
| decoder | ONNX | float | Qualcomm® QCS8550 (Proxy) | 6.744 ms | 16 - 24 MB | NPU
| decoder | ONNX | float | Qualcomm® QCS9075 | 8.485 ms | 16 - 19 MB | NPU
| decoder | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 3.498 ms | 3 - 235 MB | NPU
| decoder | QNN_DLC | float | Snapdragon® X2 Elite | 3.057 ms | 16 - 16 MB | NPU
| decoder | QNN_DLC | float | Snapdragon® X Elite | 5.549 ms | 16 - 16 MB | NPU
| decoder | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.689 ms | 4 - 213 MB | NPU
| decoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 5.358 ms | 16 - 18 MB | NPU
| decoder | QNN_DLC | float | Qualcomm® QCS9075 | 6.826 ms | 16 - 34 MB | NPU
| decoder | QNN_DLC | float | Qualcomm® SA8295P | 8.19 ms | 0 - 189 MB | NPU
| decoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.861 ms | 4 - 186 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.9 ms | 0 - 126 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 1.334 ms | 4 - 4 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® X Elite | 2.302 ms | 4 - 4 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.288 ms | 0 - 107 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 8.445 ms | 1 - 7 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.935 ms | 4 - 88 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.976 ms | 4 - 6 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® SA8775P | 2.666 ms | 4 - 91 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 2.415 ms | 1 - 7 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 9.958 ms | 4 - 270 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 2.561 ms | 0 - 110 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® SA7255P | 3.935 ms | 4 - 88 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.939 ms | 4 - 87 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.013 ms | 1 - 90 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 2.732 ms | 4 - 211 MB | NPU
| encoder | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 98.074 ms | 0 - 2232 MB | NPU
| encoder | ONNX | float | Snapdragon® X2 Elite | 99.93 ms | 71 - 71 MB | NPU
| encoder | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 143.51 ms | 23 - 3816 MB | NPU
| encoder | ONNX | float | Qualcomm® QCS8550 (Proxy) | 197.238 ms | 36 - 43 MB | NPU
| encoder | ONNX | float | Qualcomm® QCS9075 | 272.475 ms | 12 - 27 MB | NPU
| encoder | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 113.634 ms | 33 - 1687 MB | NPU
| encoder | QNN_DLC | float | Snapdragon® X2 Elite | 108.94 ms | 12 - 12 MB | NPU
| encoder | QNN_DLC | float | Snapdragon® X Elite | 206.568 ms | 12 - 12 MB | NPU
| encoder | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 156.256 ms | 29 - 1987 MB | NPU
| encoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 207.936 ms | 12 - 15 MB | NPU
| encoder | QNN_DLC | float | Qualcomm® QCS9075 | 258.802 ms | 12 - 42 MB | NPU
| encoder | QNN_DLC | float | Qualcomm® SA8295P | 309.402 ms | 0 - 1671 MB | NPU
| encoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 121.114 ms | 12 - 1747 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 38.857 ms | 3 - 1809 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 40.756 ms | 3 - 3 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® X Elite | 84.928 ms | 3 - 3 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 57.345 ms | 3 - 1981 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 665.154 ms | 3 - 12 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 144.989 ms | 3 - 1664 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 82.026 ms | 3 - 6 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® SA8775P | 83.967 ms | 3 - 1664 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 103.371 ms | 3 - 12 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 1564.069 ms | 3 - 1968 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 140.201 ms | 3 - 2037 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® SA7255P | 144.989 ms | 3 - 1664 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® SA8295P | 97.146 ms | 3 - 1671 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 42.779 ms | 3 - 1736 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 110.817 ms | 3 - 1775 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).