v0.60.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.60.0 for changelog.
- README.md +69 -65
- release_assets.json +5 -5
README.md
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Sequencer2D is a vision transformer model that can classify images from the Imagenet dataset.
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This is based on the implementation of Sequencer2D found [here](https://github.com/okojoalg/sequencer).
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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/v0.
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.
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| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.
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For more device-specific assets and performance metrics, visit **[Sequencer2D on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sequencer2d)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [Sequencer2D on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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**Model Type:** Model_use_case.image_classification
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**Model Stats:**
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- Model checkpoint: sequencer2d_s
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- Input resolution: 224x224
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- Model size (float): 106 MB
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- Model size (w8a8): 69.1 MB
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| Sequencer2D | ONNX | float | Snapdragon® X2 Elite |
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| Sequencer2D | ONNX | float | Snapdragon® X Elite |
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| Sequencer2D | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 10.
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| Sequencer2D | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 22.
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| Sequencer2D | ONNX | float | Qualcomm® Dragonwing™
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| Sequencer2D | ONNX | float | Qualcomm®
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| Sequencer2D | ONNX | float | Qualcomm®
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| Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ IQ-
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| Sequencer2D | ONNX | float | Qualcomm® Dragonwing™
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| Sequencer2D | ONNX | float |
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| Sequencer2D | ONNX | float | Snapdragon® 8 Elite
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| Sequencer2D |
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| Sequencer2D | QNN_DLC | float | Snapdragon®
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| Sequencer2D | QNN_DLC | float | Snapdragon®
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| Sequencer2D | QNN_DLC | float | Snapdragon® 8 Gen
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| Sequencer2D | QNN_DLC | float |
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| Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™
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| Sequencer2D | QNN_DLC | float | Qualcomm®
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| Sequencer2D | QNN_DLC | float | Qualcomm®
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| Sequencer2D | QNN_DLC | float | Qualcomm®
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| Sequencer2D | QNN_DLC | float | Qualcomm®
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| Sequencer2D | QNN_DLC | float | Qualcomm®
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| Sequencer2D | QNN_DLC | float | Qualcomm®
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| Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™
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| Sequencer2D | QNN_DLC | float | Qualcomm®
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| Sequencer2D | QNN_DLC | float | Qualcomm®
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| Sequencer2D | QNN_DLC | float |
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| Sequencer2D | QNN_DLC | float |
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| Sequencer2D |
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| Sequencer2D |
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| Sequencer2D | TFLITE | float |
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| Sequencer2D | TFLITE | float |
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| Sequencer2D | TFLITE | float | Qualcomm®
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| Sequencer2D | TFLITE | float | Qualcomm®
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| Sequencer2D | TFLITE | float | Qualcomm®
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| Sequencer2D | TFLITE | float | Qualcomm®
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| Sequencer2D | TFLITE | float | Qualcomm®
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| Sequencer2D | TFLITE | float | Qualcomm®
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| Sequencer2D | TFLITE | float | Qualcomm®
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| Sequencer2D | TFLITE | float | Qualcomm®
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| Sequencer2D | TFLITE | float |
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| Sequencer2D | TFLITE | float |
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| Sequencer2D | TFLITE |
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| Sequencer2D | TFLITE |
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| Sequencer2D | TFLITE |
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| Sequencer2D | TFLITE | w8a8 |
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| Sequencer2D | TFLITE | w8a8 |
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| Sequencer2D | TFLITE | w8a8 | Qualcomm®
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| Sequencer2D | TFLITE | w8a8 | Qualcomm®
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| Sequencer2D | TFLITE | w8a8 | Qualcomm®
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| Sequencer2D | TFLITE | w8a8 | Qualcomm®
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| Sequencer2D | TFLITE | w8a8 | Qualcomm®
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| Sequencer2D | TFLITE | w8a8 | Qualcomm®
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| Sequencer2D | TFLITE | w8a8 | Qualcomm®
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| Sequencer2D | TFLITE | w8a8 |
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| Sequencer2D | TFLITE | w8a8 |
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## License
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* The license for the original implementation of Sequencer2D can be found
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Sequencer2D is a vision transformer model that can classify images from the Imagenet dataset.
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This is based on the implementation of Sequencer2D found [here](https://github.com/okojoalg/sequencer).
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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/v0.60.0/src/qai_hub_models/models/sequencer2d) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-onnx-float.zip)
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-qnn_dlc-float.zip)
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-tflite-float.zip)
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| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-tflite-w8a8.zip)
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For more device-specific assets and performance metrics, visit **[Sequencer2D on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sequencer2d)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/sequencer2d) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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+
See our repository for [Sequencer2D on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/sequencer2d) for usage instructions.
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## Model Details
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**Model Type:** Model_use_case.image_classification
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**Model Stats:**
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- Input resolution: 224x224
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- Model checkpoint: sequencer2d_s
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- Model size (float): 106 MB
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- Model size (w8a8): 69.1 MB
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- Number of parameters: 27.6M
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| Sequencer2D | ONNX | float | Snapdragon® X2 Elite | 9.833 ms | 2 - 2 MB | NPU
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| Sequencer2D | ONNX | float | Snapdragon® X Elite | 17.2 ms | 60 - 60 MB | NPU
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| Sequencer2D | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 10.864 ms | 0 - 954 MB | NPU
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| Sequencer2D | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 22.66 ms | 0 - 655 MB | NPU
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| Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 16.414 ms | 0 - 4 MB | NPU
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| Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.036 ms | 1 - 4 MB | NPU
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| Sequencer2D | ONNX | float | Qualcomm® QCS8450 | 22.66 ms | 0 - 655 MB | NPU
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| Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 22.723 ms | 1 - 4 MB | NPU
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| Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 17.2 ms | 60 - 60 MB | NPU
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| Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.634 ms | 0 - 736 MB | NPU
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| Sequencer2D | ONNX | float | Snapdragon® 8 Elite Mobile | 9.634 ms | 0 - 736 MB | NPU
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| Sequencer2D | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.05 ms | 0 - 892 MB | NPU
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| Sequencer2D | QNN_DLC | float | Snapdragon® X2 Elite | 11.815 ms | 1 - 1 MB | NPU
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| Sequencer2D | QNN_DLC | float | Snapdragon® X Elite | 21.605 ms | 1 - 1 MB | NPU
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| Sequencer2D | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 14.259 ms | 0 - 2197 MB | NPU
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| Sequencer2D | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 25.475 ms | 0 - 815 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 21.122 ms | 1 - 4 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 51.597 ms | 1 - 981 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 20.139 ms | 1 - 3 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® SA8775P | 24.062 ms | 1 - 900 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® SA8650P | 24.062 ms | 1 - 900 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® SA8255P | 24.062 ms | 1 - 900 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® QCS8450 | 25.475 ms | 0 - 815 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 23.998 ms | 1 - 3 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 21.605 ms | 1 - 1 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 12.251 ms | 1 - 1024 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® SA7255P | 51.597 ms | 1 - 981 MB | NPU
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| Sequencer2D | QNN_DLC | float | Qualcomm® SA8295P | 25.962 ms | 1 - 656 MB | NPU
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| Sequencer2D | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 12.251 ms | 1 - 1024 MB | NPU
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| Sequencer2D | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 9.549 ms | 0 - 1186 MB | NPU
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| Sequencer2D | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 11.882 ms | 0 - 977 MB | NPU
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| Sequencer2D | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 21.126 ms | 0 - 734 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 16.733 ms | 0 - 76 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 37.481 ms | 0 - 796 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 17.436 ms | 0 - 9 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® SA8775P | 19.071 ms | 0 - 795 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® SA8650P | 19.071 ms | 0 - 795 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® SA8255P | 19.071 ms | 0 - 795 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® QCS8450 | 21.126 ms | 0 - 734 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 18.534 ms | 0 - 75 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.424 ms | 0 - 784 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® SA7255P | 37.481 ms | 0 - 796 MB | NPU
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| Sequencer2D | TFLITE | float | Qualcomm® SA8295P | 20.559 ms | 0 - 485 MB | NPU
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| Sequencer2D | TFLITE | float | Snapdragon® 8 Elite Mobile | 9.424 ms | 0 - 784 MB | NPU
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| Sequencer2D | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.225 ms | 0 - 761 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 13.595 ms | 0 - 947 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 21.905 ms | 0 - 811 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 18.078 ms | 0 - 64 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 36.323 ms | 0 - 862 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 18.834 ms | 0 - 10 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8775P | 20.424 ms | 0 - 862 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8650P | 20.424 ms | 0 - 862 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8255P | 20.424 ms | 0 - 862 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® QCS8450 | 21.905 ms | 0 - 811 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 19.751 ms | 0 - 64 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 10.902 ms | 0 - 802 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® SA7255P | 36.323 ms | 0 - 862 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8295P | 22.914 ms | 0 - 616 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 10.902 ms | 0 - 802 MB | NPU
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| Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 9.088 ms | 0 - 823 MB | NPU
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## License
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* The license for the original implementation of Sequencer2D can be found
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release_assets.json
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{
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"version": "0.
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"precisions": {
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"float": {
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"universal_assets": {
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"qairt": "2.45.0.260326154327",
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"onnx_runtime": "1.27.1"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.
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},
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"qnn_dlc": {
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"tool_versions": {
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"qairt": "2.45.0.260326154327"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.
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},
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"tflite": {
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"tool_versions": {
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"qairt": "2.45.0.260326154327"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.
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}
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}
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},
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"tool_versions": {
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"qairt": "2.45.0.260326154327"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.
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}
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}
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}
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{
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"version": "0.60.0",
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"precisions": {
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"float": {
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"universal_assets": {
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"qairt": "2.45.0.260326154327",
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"onnx_runtime": "1.27.1"
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},
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| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-onnx-float.zip"
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
|
|
| 30 |
"tool_versions": {
|
| 31 |
"qairt": "2.45.0.260326154327"
|
| 32 |
},
|
| 33 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-tflite-w8a8.zip"
|
| 34 |
}
|
| 35 |
}
|
| 36 |
}
|