MobileSam: Optimized for Qualcomm Devices

Transformer based encoder-decoder where prompts specify what to segment in an image thereby allowing segmentation without the need for additional training. The image encoder generates embeddings and the lightweight decoder operates on the embeddings for point and mask based image segmentation.

This is based on the implementation of MobileSam 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

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 1.27.1 Download
QNN_DLC float Universal QAIRT 2.45 Download
TFLITE float Universal QAIRT 2.45 Download

For more device-specific assets and performance metrics, visit MobileSam on Qualcomm® AI Hub.

Option 2: Export with Custom Configurations

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

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for MobileSam on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

  • Model checkpoint: vit_t
  • Input resolution: 720p (720x1280)
  • Number of parameters (sam_encoder): 6.95M
  • Model size (sam_encoder) (float): 26.6 MB
  • Number of parameters (sam_decoder): 6.16M
  • Model size (sam_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® X2 Elite 2.636 ms 4 - 4 MB NPU
decoder ONNX float Snapdragon® X Elite 6.113 ms 11 - 11 MB NPU
decoder ONNX float Snapdragon® 8 Gen 3 Mobile 4.15 ms 0 - 241 MB NPU
decoder ONNX float Snapdragon® 8 Gen 1 Mobile 14.315 ms 5 - 233 MB NPU
decoder ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 5.91 ms 4 - 6 MB NPU
decoder ONNX float Qualcomm® QCS8450 14.315 ms 5 - 233 MB NPU
decoder ONNX float Qualcomm® Dragonwing™ IQ-9075 6.816 ms 4 - 7 MB NPU
decoder ONNX float Qualcomm® Dragonwing™ IQ-X7181 6.113 ms 11 - 11 MB NPU
decoder ONNX float Qualcomm® Dragonwing™ Q-8750 3.184 ms 0 - 237 MB NPU
decoder ONNX float Snapdragon® 8 Elite Mobile 3.184 ms 0 - 237 MB NPU
decoder ONNX float Snapdragon® 8 Elite Gen 5 Mobile 2.544 ms 1 - 215 MB NPU
decoder QNN_DLC float Snapdragon® X2 Elite 3.005 ms 4 - 4 MB NPU
decoder QNN_DLC float Snapdragon® X Elite 5.711 ms 4 - 4 MB NPU
decoder QNN_DLC float Snapdragon® 8 Gen 3 Mobile 3.735 ms 4 - 223 MB NPU
decoder QNN_DLC float Snapdragon® 8 Gen 1 Mobile 11.599 ms 0 - 252 MB NPU
decoder QNN_DLC float Qualcomm® Dragonwing™ QCS8275 12.588 ms 0 - 193 MB NPU
decoder QNN_DLC float Qualcomm® Dragonwing™ QCS8550 (Proxy) 5.279 ms 4 - 33 MB NPU
decoder QNN_DLC float Qualcomm® SA8775P 6.269 ms 0 - 194 MB NPU
decoder QNN_DLC float Qualcomm® SA8650P 6.269 ms 0 - 194 MB NPU
decoder QNN_DLC float Qualcomm® SA8255P 6.269 ms 0 - 194 MB NPU
decoder QNN_DLC float Qualcomm® QCS8450 11.599 ms 0 - 252 MB NPU
decoder QNN_DLC float Qualcomm® Dragonwing™ IQ-9075 6.05 ms 4 - 10 MB NPU
decoder QNN_DLC float Qualcomm® Dragonwing™ IQ-X7181 5.711 ms 4 - 4 MB NPU
decoder QNN_DLC float Qualcomm® Dragonwing™ Q-8750 2.835 ms 0 - 223 MB NPU
decoder QNN_DLC float Qualcomm® SA7255P 12.588 ms 0 - 193 MB NPU
decoder QNN_DLC float Qualcomm® SA8295P 7.729 ms 0 - 191 MB NPU
decoder QNN_DLC float Snapdragon® 8 Elite Mobile 2.835 ms 0 - 223 MB NPU
decoder QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 2.537 ms 4 - 196 MB NPU
decoder TFLITE float Snapdragon® 8 Gen 3 Mobile 3.413 ms 0 - 211 MB NPU
decoder TFLITE float Snapdragon® 8 Gen 1 Mobile 8.008 ms 0 - 215 MB NPU
decoder TFLITE float Qualcomm® Dragonwing™ QCS8275 11.845 ms 0 - 185 MB NPU
decoder TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 4.941 ms 0 - 17 MB NPU
decoder TFLITE float Qualcomm® SA8775P 5.934 ms 0 - 189 MB NPU
decoder TFLITE float Qualcomm® SA8650P 5.934 ms 0 - 189 MB NPU
decoder TFLITE float Qualcomm® SA8255P 5.934 ms 0 - 189 MB NPU
decoder TFLITE float Qualcomm® QCS8450 8.008 ms 0 - 215 MB NPU
decoder TFLITE float Qualcomm® Dragonwing™ IQ-9075 5.704 ms 0 - 19 MB NPU
decoder TFLITE float Qualcomm® Dragonwing™ Q-8750 2.596 ms 0 - 184 MB NPU
decoder TFLITE float Qualcomm® SA7255P 11.845 ms 0 - 185 MB NPU
decoder TFLITE float Qualcomm® SA8295P 7.282 ms 0 - 183 MB NPU
decoder TFLITE float Snapdragon® 8 Elite Mobile 2.596 ms 0 - 184 MB NPU
decoder TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 2.165 ms 0 - 187 MB NPU
encoder ONNX float Snapdragon® X2 Elite 100.973 ms 12 - 12 MB NPU
encoder ONNX float Snapdragon® X Elite 168.548 ms 14 - 14 MB NPU
encoder ONNX float Snapdragon® 8 Gen 3 Mobile 125.733 ms 12 - 1103 MB NPU
encoder ONNX float Snapdragon® 8 Gen 1 Mobile 407.934 ms 22 - 1128 MB NPU
encoder ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 173.455 ms 12 - 30 MB NPU
encoder ONNX float Qualcomm® QCS8450 407.934 ms 22 - 1128 MB NPU
encoder ONNX float Qualcomm® Dragonwing™ IQ-9075 178.544 ms 12 - 15 MB NPU
encoder ONNX float Qualcomm® Dragonwing™ IQ-X7181 168.548 ms 14 - 14 MB NPU
encoder ONNX float Qualcomm® Dragonwing™ Q-8750 100.448 ms 8 - 919 MB NPU
encoder ONNX float Snapdragon® 8 Elite Mobile 100.448 ms 8 - 919 MB NPU
encoder ONNX float Snapdragon® 8 Elite Gen 5 Mobile 82.268 ms 9 - 1036 MB NPU
encoder QNN_DLC float Snapdragon® X2 Elite 46.051 ms 12 - 12 MB NPU
encoder QNN_DLC float Snapdragon® X Elite 103.021 ms 12 - 12 MB NPU
encoder QNN_DLC float Snapdragon® 8 Gen 3 Mobile 65.626 ms 12 - 1328 MB NPU
encoder QNN_DLC float Snapdragon® 8 Gen 1 Mobile 326.924 ms 11 - 1341 MB NPU
encoder QNN_DLC float Qualcomm® Dragonwing™ QCS8275 207.442 ms 1 - 1126 MB NPU
encoder QNN_DLC float Qualcomm® Dragonwing™ QCS8550 (Proxy) 99.736 ms 12 - 15 MB NPU
encoder QNN_DLC float Qualcomm® SA8775P 100.378 ms 1 - 1550 MB NPU
encoder QNN_DLC float Qualcomm® SA8650P 100.378 ms 1 - 1550 MB NPU
encoder QNN_DLC float Qualcomm® SA8255P 100.378 ms 1 - 1550 MB NPU
encoder QNN_DLC float Qualcomm® QCS8450 326.924 ms 11 - 1341 MB NPU
encoder QNN_DLC float Qualcomm® Dragonwing™ IQ-9075 124.552 ms 14 - 32 MB NPU
encoder QNN_DLC float Qualcomm® Dragonwing™ IQ-X7181 103.021 ms 12 - 12 MB NPU
encoder QNN_DLC float Qualcomm® Dragonwing™ Q-8750 48.995 ms 6 - 1122 MB NPU
encoder QNN_DLC float Qualcomm® SA7255P 207.442 ms 1 - 1126 MB NPU
encoder QNN_DLC float Qualcomm® SA8295P 324.927 ms 0 - 1557 MB NPU
encoder QNN_DLC float Snapdragon® 8 Elite Mobile 48.995 ms 6 - 1122 MB NPU
encoder QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 40.341 ms 12 - 1258 MB NPU
encoder TFLITE float Snapdragon® 8 Gen 3 Mobile 66.798 ms 0 - 3190 MB NPU
encoder TFLITE float Snapdragon® 8 Gen 1 Mobile 311.267 ms 4 - 1362 MB NPU
encoder TFLITE float Qualcomm® Dragonwing™ QCS8275 196.878 ms 4 - 1634 MB NPU
encoder TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 90.526 ms 4 - 8 MB NPU
encoder TFLITE float Qualcomm® SA8775P 100.683 ms 4 - 1670 MB NPU
encoder TFLITE float Qualcomm® SA8650P 100.683 ms 4 - 1670 MB NPU
encoder TFLITE float Qualcomm® SA8255P 100.683 ms 4 - 1670 MB NPU
encoder TFLITE float Qualcomm® QCS8450 311.267 ms 4 - 1362 MB NPU
encoder TFLITE float Qualcomm® Dragonwing™ IQ-9075 101.504 ms 0 - 45 MB NPU
encoder TFLITE float Qualcomm® Dragonwing™ Q-8750 48.492 ms 2 - 1629 MB NPU
encoder TFLITE float Qualcomm® SA7255P 196.878 ms 4 - 1634 MB NPU
encoder TFLITE float Qualcomm® SA8295P 258.167 ms 4 - 1714 MB NPU
encoder TFLITE float Snapdragon® 8 Elite Mobile 48.492 ms 2 - 1629 MB NPU
encoder TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 40.214 ms 4 - 1796 MB NPU

License

  • The license for the original implementation of MobileSam can be found here.

References

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