EfficientFormer: Optimized for Qualcomm Devices

EfficientFormer is a vision transformer model that can classify images from the Imagenet dataset.

This is based on the implementation of EfficientFormer 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
ONNX	w8a16	Universal	QAIRT 2.45, ONNX Runtime 1.27.1	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
QNN_DLC	w8a16	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download

For more device-specific assets and performance metrics, visit EfficientFormer 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 EfficientFormer on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.image_classification

Model Stats:

• Model checkpoint: efficientformer_l1_300d
• Input resolution: 224x224
• Number of parameters: 12.3M
• Model size (float): 46.9 MB
• Model size (w8a16): 12.2 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
EfficientFormer	ONNX	float	Snapdragon® X2 Elite	0.636 ms	2 - 2 MB	NPU
EfficientFormer	ONNX	float	Snapdragon® X Elite	1.382 ms	25 - 25 MB	NPU
EfficientFormer	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.922 ms	0 - 80 MB	NPU
EfficientFormer	ONNX	float	Snapdragon® 8 Gen 1 Mobile	5.091 ms	1 - 83 MB	NPU
EfficientFormer	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.318 ms	0 - 137 MB	NPU
EfficientFormer	ONNX	float	Qualcomm® QCS8450	5.091 ms	1 - 83 MB	NPU
EfficientFormer	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	1.765 ms	1 - 3 MB	NPU
EfficientFormer	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	1.382 ms	25 - 25 MB	NPU
EfficientFormer	ONNX	float	Qualcomm® Dragonwing™ Q-8750	0.695 ms	0 - 44 MB	NPU
EfficientFormer	ONNX	float	Snapdragon® 8 Elite Mobile	0.695 ms	0 - 44 MB	NPU
EfficientFormer	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.601 ms	0 - 44 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® X2 Elite	0.564 ms	1 - 1 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® X Elite	1.371 ms	13 - 13 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	0.896 ms	0 - 91 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	1.783 ms	0 - 92 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	5.14 ms	0 - 3 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.33 ms	0 - 16 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® QCS8450	1.783 ms	0 - 92 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	1.914 ms	0 - 3 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	1.371 ms	13 - 13 MB	NPU
EfficientFormer	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	0.604 ms	0 - 61 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® 8 Elite Mobile	0.604 ms	0 - 61 MB	NPU
EfficientFormer	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.53 ms	0 - 71 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® X2 Elite	0.872 ms	1 - 1 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® X Elite	1.677 ms	1 - 1 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	1.039 ms	0 - 77 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	5.579 ms	0 - 78 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8275	4.922 ms	1 - 39 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.475 ms	1 - 2 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® SA8775P	2.059 ms	1 - 43 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® SA8650P	2.059 ms	1 - 43 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® SA8255P	2.059 ms	1 - 43 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® QCS8450	5.579 ms	0 - 78 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	1.9 ms	3 - 5 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	1.677 ms	1 - 1 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	0.786 ms	0 - 44 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® SA7255P	4.922 ms	1 - 39 MB	NPU
EfficientFormer	QNN_DLC	float	Qualcomm® SA8295P	4.008 ms	0 - 39 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® 8 Elite Mobile	0.786 ms	0 - 44 MB	NPU
EfficientFormer	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.645 ms	1 - 45 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® X2 Elite	0.864 ms	0 - 0 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® X Elite	1.785 ms	0 - 0 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	1.086 ms	0 - 80 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8275	3.226 ms	0 - 57 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.553 ms	0 - 2 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® SA8775P	1.908 ms	0 - 59 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® SA8650P	1.908 ms	0 - 59 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® SA8255P	1.908 ms	0 - 59 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-9075	1.734 ms	0 - 2 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-X7181	1.785 ms	0 - 0 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-6690	6.989 ms	0 - 178 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-7790	1.696 ms	0 - 62 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-8750	0.708 ms	0 - 51 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Qualcomm® SA7255P	3.226 ms	0 - 57 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	0.708 ms	0 - 51 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.618 ms	0 - 66 MB	NPU
EfficientFormer	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	1.696 ms	0 - 62 MB	NPU
EfficientFormer	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	1.037 ms	0 - 98 MB	NPU
EfficientFormer	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	5.535 ms	0 - 96 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® Dragonwing™ QCS8275	4.864 ms	0 - 52 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.477 ms	0 - 6 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® SA8775P	2.065 ms	0 - 55 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® SA8650P	2.065 ms	0 - 55 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® SA8255P	2.065 ms	0 - 55 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® QCS8450	5.535 ms	0 - 96 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	1.872 ms	0 - 27 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	0.767 ms	0 - 58 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® SA7255P	4.864 ms	0 - 52 MB	NPU
EfficientFormer	TFLITE	float	Qualcomm® SA8295P	3.977 ms	0 - 48 MB	NPU
EfficientFormer	TFLITE	float	Snapdragon® 8 Elite Mobile	0.767 ms	0 - 58 MB	NPU
EfficientFormer	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.652 ms	0 - 53 MB	NPU

License

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

References

• Rethinking Vision Transformers for MobileNet Size and Speed
• Source Model Implementation

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.