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. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up 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 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 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.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
