--- library_name: pytorch license: other tags: - android pipeline_tag: image-segmentation --- ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fastsam_x/web-assets/model_demo.png) # FastSam-X: Optimized for Qualcomm Devices The Fast Segment Anything Model (FastSAM) is a novel, real-time CNN-based solution for the Segment Anything task. This task is designed to segment any object within an image based on various possible user interaction prompts. The model performs competitively despite significantly reduced computation, making it a practical choice for a variety of vision tasks. This is based on the implementation of FastSam-X found [here](https://github.com/CASIA-LMC-Lab/FastSAM). 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/fastsam_x) 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 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fastsam_x/releases/v0.55.0/fastsam_x-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/fastsam_x/releases/v0.55.0/fastsam_x-qnn_dlc-float.zip) | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fastsam_x/releases/v0.55.0/fastsam_x-tflite-float.zip) For more device-specific assets and performance metrics, visit **[FastSam-X on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/fastsam_x)**. ### 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/fastsam_x) 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 [FastSam-X on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/fastsam_x) for usage instructions. ## Model Details **Model Type:** Model_use_case.semantic_segmentation **Model Stats:** - Model checkpoint: fastsam-x.pt - Inference latency: RealTime - Input resolution: 640x640 - Number of parameters: 72.2M - Model size (float): 276 MB ## Performance Summary | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |---|---|---|---|---|---|--- | FastSam-X | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 19.417 ms | 17 - 260 MB | NPU | FastSam-X | ONNX | float | Snapdragon® X2 Elite | 24.056 ms | 207 - 207 MB | NPU | FastSam-X | ONNX | float | Snapdragon® X Elite | 46.402 ms | 144 - 144 MB | NPU | FastSam-X | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 35.829 ms | 13 - 332 MB | NPU | FastSam-X | ONNX | float | Qualcomm® QCS8550 (Proxy) | 46.859 ms | 0 - 412 MB | NPU | FastSam-X | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 27.549 ms | 13 - 247 MB | NPU | FastSam-X | ONNX | float | Qualcomm® QCS9075 | 74.018 ms | 13 - 58 MB | NPU | FastSam-X | ONNX | float | Qualcomm® QCS8750 | 27.549 ms | 13 - 247 MB | NPU | FastSam-X | ONNX | float | Qualcomm® QCS7181 | 46.402 ms | 144 - 144 MB | NPU | FastSam-X | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 17.46 ms | 5 - 236 MB | NPU | FastSam-X | QNN_DLC | float | Snapdragon® X2 Elite | 23.186 ms | 5 - 5 MB | NPU | FastSam-X | QNN_DLC | float | Snapdragon® X Elite | 44.05 ms | 5 - 5 MB | NPU | FastSam-X | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 32.779 ms | 2 - 299 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® QCS8275 | 279.927 ms | 0 - 215 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 42.926 ms | 5 - 7 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® SA8775P | 68.473 ms | 0 - 214 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® SA8650P | 68.473 ms | 0 - 214 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® SA8255P | 68.473 ms | 0 - 214 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 92.634 ms | 0 - 381 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® SA7255P | 279.927 ms | 0 - 215 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® SA8295P | 77.648 ms | 0 - 298 MB | NPU | FastSam-X | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 25.358 ms | 0 - 223 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® QCS9075 | 71.002 ms | 5 - 15 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® QCS8750 | 25.358 ms | 0 - 223 MB | NPU | FastSam-X | QNN_DLC | float | Qualcomm® QCS7181 | 44.05 ms | 5 - 5 MB | NPU | FastSam-X | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 17.225 ms | 4 - 262 MB | NPU | FastSam-X | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 32.87 ms | 4 - 420 MB | NPU | FastSam-X | TFLITE | float | Qualcomm® QCS8275 | 279.447 ms | 5 - 256 MB | NPU | FastSam-X | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 42.441 ms | 4 - 7 MB | NPU | FastSam-X | TFLITE | float | Qualcomm® SA8775P | 67.934 ms | 5 - 257 MB | NPU | FastSam-X | TFLITE | float | Qualcomm® SA8650P | 67.934 ms | 5 - 257 MB | NPU | FastSam-X | TFLITE | float | Qualcomm® SA8255P | 67.934 ms | 5 - 257 MB | NPU | FastSam-X | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 92.492 ms | 5 - 507 MB | NPU | FastSam-X | TFLITE | float | Qualcomm® SA7255P | 279.447 ms | 5 - 256 MB | NPU | FastSam-X | TFLITE | float | Qualcomm® SA8295P | 77.169 ms | 0 - 330 MB | NPU | FastSam-X | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 25.42 ms | 3 - 261 MB | NPU | FastSam-X | TFLITE | float | Qualcomm® QCS9075 | 69.975 ms | 4 - 158 MB | NPU | FastSam-X | TFLITE | float | Qualcomm® QCS8750 | 25.42 ms | 3 - 261 MB | NPU ## License * The license for the original implementation of FastSam-X can be found [here](https://github.com/CASIA-LMC-Lab/FastSAM/blob/main/LICENSE). ## References * [Fast Segment Anything](https://arxiv.org/abs/2306.12156) * [Source Model Implementation](https://github.com/CASIA-LMC-Lab/FastSAM) ## 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).