--- title: EfficientFormer canonical_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/EfficientFormer" md_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/EfficientFormer.md" repository: Qualcomm-AI-Hub/EfficientFormer last_updated: 2026-10-16 license: apache-2.0 pipeline_tag: image-classification tasks: - image-classification downloads: 0 stars: 0 tags: - bu_auto - android --- # EfficientFormer > EfficientFormer - Qualcomm-AI-Hub 在 ModelScope 开源的模型。EfficientFormer: Optimized for Qualcomm Devices Qualcomm-AI-Hub/EfficientFormer 是 ModelScope 魔搭社区上的image-classification模型，采用 apache-2.0 许可。 - **Repository**: Qualcomm-AI-Hub/EfficientFormer - **License**: apache-2.0 - **Tasks**: image-classification - **Tags**: bu_auto, android - **Downloads**: 0 - **Stars**: 0 - **Last updated**: 2026-10-16 Source: https://www.modelscope.cn/models/Qualcomm-AI-Hub/EfficientFormer --- ![](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/efficientformer/web-assets/model_demo.png) # 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](https://github.com/snap-research/EfficientFormer). 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-cn/blob/main/src/qai_hub_models/models/efficientformer) 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.cn) 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 2.45, ONNX Runtime 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/efficientformer/releases/v0.62.1/efficientformer-onnx-float.zip) | ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/efficientformer/releases/v0.62.1/efficientformer-onnx-w8a16.zip) | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/efficientformer/releases/v0.62.1/efficientformer-qnn_dlc-float.zip) | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/efficientformer/releases/v0.62.1/efficientformer-qnn_dlc-w8a16.zip) | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/efficientformer/releases/v0.62.1/efficientformer-tflite-float.zip) For more device-specific assets and performance metrics, visit **[EfficientFormer on Qualcomm® AI Hub](https://aihub.qualcomm.cn/models/efficientformer)**. ### Option 2: Export with Custom Configurations Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/efficientformer) 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](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/efficientformer) for usage instructions. ## Model Details **Model Type:** Model_use_case.image_classification **Model Stats:** - Input resolution: 224x224 - Model checkpoint: efficientformer_l1_300d - Model size (float): 46.9 MB - Model size (w8a16): 12.2 MB - Number of parameters: 12.3M ## Performance Summary | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |---|---|---|---|---|---|--- | EfficientFormer | ONNX | float | Snapdragon® X2 Elite | 0.564 ms | 2 - 2 MB | NPU | EfficientFormer | ONNX | float | Snapdragon® X Elite | 1.204 ms | 24 - 24 MB | NPU | EfficientFormer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.833 ms | 0 - 76 MB | NPU | EfficientFormer | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 4.975 ms | 1 - 80 MB | NPU | EfficientFormer | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.594 ms | 1 - 4 MB | NPU | EfficientFormer | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.165 ms | 0 - 133 MB | NPU | EfficientFormer | ONNX | float | Qualcomm® QCS8450 | 4.975 ms | 1 - 80 MB | NPU | EfficientFormer | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.583 ms | 1 - 3 MB | NPU | EfficientFormer | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.204 ms | 24 - 24 MB | NPU | EfficientFormer | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.647 ms | 0 - 41 MB | NPU | EfficientFormer | ONNX | float | Snapdragon® 8 Elite Mobile | 0.647 ms | 0 - 41 MB | NPU | EfficientFormer | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.571 ms | 0 - 46 MB | NPU | EfficientFormer | ONNX | w8a16 | Snapdragon® X2 Elite | 0.52 ms | 1 - 1 MB | NPU | EfficientFormer | ONNX | w8a16 | Snapdragon® X Elite | 1.261 ms | 13 - 13 MB | NPU | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.821 ms | 0 - 84 MB | NPU | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.613 ms | 0 - 86 MB | NPU | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 3.327 ms | 0 - 3 MB | NPU | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.231 ms | 0 - 4 MB | NPU | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.213 ms | 0 - 130 MB | NPU | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS8450 | 1.613 ms | 0 - 86 MB | NPU | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.376 ms | 0 - 3 MB | NPU | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.261 ms | 13 - 13 MB | NPU | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 5.924 ms | 0 - 67 MB | NPU | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.361 ms | 0 - 65 MB | NPU | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.575 ms | 0 - 59 MB | NPU | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.575 ms | 0 - 59 MB | NPU | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.486 ms | 0 - 65 MB | NPU | EfficientFormer | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.361 ms | 0 - 65 MB | NPU | EfficientFormer | QNN_DLC | float | Snapdragon® X2 Elite | 0.904 ms | 1 - 1 MB | NPU | EfficientFormer | QNN_DLC | float | Snapdragon® X Elite | 1.676 ms | 1 - 1 MB | NPU | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.029 ms | 0 - 76 MB | NPU | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 5.588 ms | 0 - 78 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.837 ms | 1 - 4 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.473 ms | 1 - 2 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® SA8775P | 2.046 ms | 1 - 43 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® SA8650P | 2.046 ms | 1 - 43 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® SA8255P | 2.046 ms | 1 - 43 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8450 | 5.588 ms | 0 - 78 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.88 ms | 3 - 5 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.676 ms | 1 - 1 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.774 ms | 0 - 40 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® SA7255P | 4.897 ms | 1 - 40 MB | NPU | EfficientFormer | QNN_DLC | float | Qualcomm® SA8295P | 4.007 ms | 0 - 39 MB | NPU | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.774 ms | 0 - 40 MB | NPU | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.655 ms | 1 - 43 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.818 ms | 0 - 0 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.67 ms | 0 - 0 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.009 ms | 0 - 75 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.433 ms | 0 - 3 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.473 ms | 0 - 89 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.781 ms | 0 - 56 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.781 ms | 0 - 56 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.781 ms | 0 - 56 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.628 ms | 0 - 2 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.67 ms | 0 - 0 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.859 ms | 0 - 176 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.621 ms | 0 - 58 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.674 ms | 0 - 49 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® SA7255P | 3.055 ms | 0 - 53 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.674 ms | 0 - 49 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.564 ms | 0 - 59 MB | NPU | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.621 ms | 0 - 58 MB | NPU | EfficientFormer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.034 ms | 0 - 96 MB | NPU | EfficientFormer | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 5.553 ms | 0 - 94 MB | NPU | EfficientFormer | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.825 ms | 0 - 28 MB | NPU | EfficientFormer | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.493 ms | 0 - 2 MB | NPU | EfficientFormer | TFLITE | float | Qualcomm® SA8775P | 2.056 ms | 0 - 55 MB | NPU | EfficientFormer | TFLITE | float | Qualcomm® SA8650P | 2.056 ms | 0 - 55 MB | NPU | EfficientFormer | TFLITE | float | Qualcomm® SA8255P | 2.056 ms | 0 - 55 MB | NPU | EfficientFormer | TFLITE | float | Qualcomm® QCS8450 | 5.553 ms | 0 - 94 MB | NPU | EfficientFormer | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.876 ms | 0 - 27 MB | NPU | EfficientFormer | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.768 ms | 0 - 49 MB | NPU | EfficientFormer | TFLITE | float | Qualcomm® SA7255P | 4.838 ms | 0 - 52 MB | NPU | EfficientFormer | TFLITE | float | Qualcomm® SA8295P | 3.968 ms | 0 - 48 MB | NPU | EfficientFormer | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.768 ms | 0 - 49 MB | NPU | EfficientFormer | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.657 ms | 0 - 50 MB | NPU ## License * The license for the original implementation of EfficientFormer can be found [here](https://github.com/snap-research/EfficientFormer?tab=License-1-ov-file#readme). ## References * [Rethinking Vision Transformers for MobileNet Size and Speed](https://arxiv.org/abs/2212.08059) * [Source Model Implementation](https://github.com/snap-research/EfficientFormer) ## Community * For questions or feedback, chat with our engineers in [Qualcomm® AI Hub Workbench](https://workbench.aihub.qualcomm.cn).