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EfficientFormer

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v0.48.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.48.0 for changelog.

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  1. README.md +51 -51
README.md CHANGED
@@ -15,7 +15,7 @@ pipeline_tag: image-classification
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  EfficientFormer is a vision transformer model that can classify images from the Imagenet dataset.
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  This is based on the implementation of EfficientFormer found [here](https://github.com/snap-research/EfficientFormer).
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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/quic/ai-hub-models/blob/main/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).
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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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@@ -28,25 +28,25 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
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  |---|---|---|---|---|
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- | ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.47.0/efficientformer-onnx-float.zip)
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- | ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.47.0/efficientformer-onnx-w8a16.zip)
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- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.47.0/efficientformer-qnn_dlc-float.zip)
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- | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.47.0/efficientformer-qnn_dlc-w8a16.zip)
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- | TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.47.0/efficientformer-tflite-float.zip)
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  For more device-specific assets and performance metrics, visit **[EfficientFormer on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientformer)**.
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39
 
40
  ### Option 2: Export with Custom Configurations
41
 
42
- Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/efficientformer) Python library to compile and export the model with your own:
43
  - Custom weights (e.g., fine-tuned checkpoints)
44
  - Custom input shapes
45
  - Target device and runtime configurations
46
 
47
  This option is ideal if you need to customize the model beyond the default configuration provided here.
48
 
49
- See our repository for [EfficientFormer on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/efficientformer) for usage instructions.
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51
  ## Model Details
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@@ -62,49 +62,49 @@ See our repository for [EfficientFormer on GitHub](https://github.com/quic/ai-hu
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  ## Performance Summary
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  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
64
  |---|---|---|---|---|---|---
65
- | EfficientFormer | ONNX | float | Snapdragon® X Elite | 1.528 ms | 24 - 24 MB | NPU
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- | EfficientFormer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.95 ms | 0 - 87 MB | NPU
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- | EfficientFormer | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.32 ms | 1 - 5 MB | NPU
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- | EfficientFormer | ONNX | float | Qualcomm® QCS9075 | 1.883 ms | 1 - 3 MB | NPU
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- | EfficientFormer | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.704 ms | 0 - 46 MB | NPU
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- | EfficientFormer | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.609 ms | 1 - 53 MB | NPU
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- | EfficientFormer | ONNX | float | Snapdragon® X2 Elite | 0.646 ms | 25 - 25 MB | NPU
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- | EfficientFormer | ONNX | w8a16 | Snapdragon® X Elite | 1.661 ms | 12 - 12 MB | NPU
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- | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.962 ms | 0 - 93 MB | NPU
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- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS6490 | 143.031 ms | 19 - 25 MB | CPU
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- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.401 ms | 0 - 17 MB | NPU
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- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS9075 | 1.631 ms | 0 - 3 MB | NPU
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- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCM6690 | 66.257 ms | 12 - 20 MB | CPU
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- | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.647 ms | 0 - 63 MB | NPU
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- | EfficientFormer | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 62.871 ms | 22 - 31 MB | CPU
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- | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.531 ms | 0 - 66 MB | NPU
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- | EfficientFormer | ONNX | w8a16 | Snapdragon® X2 Elite | 0.562 ms | 12 - 12 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Snapdragon® X Elite | 1.744 ms | 1 - 1 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.063 ms | 0 - 80 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 4.912 ms | 1 - 45 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.498 ms | 1 - 2 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Qualcomm® QCS9075 | 1.979 ms | 1 - 3 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 5.532 ms | 0 - 83 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.776 ms | 1 - 48 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.649 ms | 1 - 49 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Snapdragon® X2 Elite | 0.919 ms | 1 - 1 MB | NPU
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- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.846 ms | 0 - 0 MB | NPU
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- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.095 ms | 0 - 81 MB | NPU
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- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 3.289 ms | 0 - 56 MB | NPU
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- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.62 ms | 0 - 89 MB | NPU
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- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 1.785 ms | 0 - 2 MB | NPU
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- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 7.002 ms | 0 - 176 MB | NPU
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- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.719 ms | 0 - 55 MB | NPU
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- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.722 ms | 0 - 60 MB | NPU
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- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.585 ms | 0 - 59 MB | NPU
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- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.831 ms | 0 - 0 MB | NPU
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- | EfficientFormer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.048 ms | 0 - 104 MB | NPU
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- | EfficientFormer | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 4.91 ms | 0 - 64 MB | NPU
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- | EfficientFormer | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.505 ms | 0 - 4 MB | NPU
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- | EfficientFormer | TFLITE | float | Qualcomm® QCS9075 | 1.969 ms | 0 - 27 MB | NPU
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- | EfficientFormer | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 5.534 ms | 0 - 101 MB | NPU
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- | EfficientFormer | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.777 ms | 0 - 70 MB | NPU
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- | EfficientFormer | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.651 ms | 0 - 68 MB | NPU
108
 
109
  ## License
110
  * The license for the original implementation of EfficientFormer can be found
 
15
  EfficientFormer is a vision transformer model that can classify images from the Imagenet dataset.
16
 
17
  This is based on the implementation of EfficientFormer found [here](https://github.com/snap-research/EfficientFormer).
18
+ 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/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).
19
 
20
  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.
21
 
 
28
 
29
  | Runtime | Precision | Chipset | SDK Versions | Download |
30
  |---|---|---|---|---|
31
+ | ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.48.0/efficientformer-onnx-float.zip)
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+ | ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.48.0/efficientformer-onnx-w8a16.zip)
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+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.48.0/efficientformer-qnn_dlc-float.zip)
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+ | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.48.0/efficientformer-qnn_dlc-w8a16.zip)
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+ | TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.48.0/efficientformer-tflite-float.zip)
36
 
37
  For more device-specific assets and performance metrics, visit **[EfficientFormer on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientformer)**.
38
 
39
 
40
  ### Option 2: Export with Custom Configurations
41
 
42
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/efficientformer) Python library to compile and export the model with your own:
43
  - Custom weights (e.g., fine-tuned checkpoints)
44
  - Custom input shapes
45
  - Target device and runtime configurations
46
 
47
  This option is ideal if you need to customize the model beyond the default configuration provided here.
48
 
49
+ See our repository for [EfficientFormer on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/efficientformer) for usage instructions.
50
 
51
  ## Model Details
52
 
 
62
  ## Performance Summary
63
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
64
  |---|---|---|---|---|---|---
65
+ | EfficientFormer | ONNX | float | Snapdragon® X2 Elite | 0.647 ms | 25 - 25 MB | NPU
66
+ | EfficientFormer | ONNX | float | Snapdragon® X Elite | 1.558 ms | 24 - 24 MB | NPU
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+ | EfficientFormer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.957 ms | 0 - 88 MB | NPU
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+ | EfficientFormer | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.332 ms | 1 - 3 MB | NPU
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+ | EfficientFormer | ONNX | float | Qualcomm® QCS9075 | 1.882 ms | 1 - 3 MB | NPU
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+ | EfficientFormer | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.712 ms | 0 - 53 MB | NPU
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+ | EfficientFormer | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.607 ms | 0 - 53 MB | NPU
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+ | EfficientFormer | ONNX | w8a16 | Snapdragon® X2 Elite | 0.556 ms | 12 - 12 MB | NPU
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+ | EfficientFormer | ONNX | w8a16 | Snapdragon® X Elite | 1.657 ms | 12 - 12 MB | NPU
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+ | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.941 ms | 0 - 91 MB | NPU
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+ | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS6490 | 140.473 ms | 20 - 26 MB | CPU
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+ | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.436 ms | 0 - 18 MB | NPU
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+ | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS9075 | 1.627 ms | 0 - 3 MB | NPU
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+ | EfficientFormer | ONNX | w8a16 | Qualcomm® QCM6690 | 66.333 ms | 12 - 21 MB | CPU
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+ | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.644 ms | 0 - 58 MB | NPU
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+ | EfficientFormer | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 62.664 ms | 21 - 30 MB | CPU
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+ | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.525 ms | 0 - 67 MB | NPU
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+ | EfficientFormer | QNN_DLC | float | Snapdragon® X2 Elite | 0.899 ms | 1 - 1 MB | NPU
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+ | EfficientFormer | QNN_DLC | float | Snapdragon® X Elite | 1.757 ms | 1 - 1 MB | NPU
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+ | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.055 ms | 0 - 80 MB | NPU
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+ | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 4.931 ms | 1 - 46 MB | NPU
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+ | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.526 ms | 1 - 2 MB | NPU
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+ | EfficientFormer | QNN_DLC | float | Qualcomm® QCS9075 | 1.978 ms | 1 - 3 MB | NPU
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+ | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 5.53 ms | 0 - 81 MB | NPU
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+ | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.776 ms | 1 - 49 MB | NPU
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+ | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.652 ms | 1 - 49 MB | NPU
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+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.837 ms | 0 - 0 MB | NPU
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+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.845 ms | 0 - 0 MB | NPU
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+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.091 ms | 0 - 80 MB | NPU
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+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 3.278 ms | 0 - 57 MB | NPU
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+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.616 ms | 0 - 96 MB | NPU
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+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 1.79 ms | 0 - 2 MB | NPU
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+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 6.926 ms | 0 - 176 MB | NPU
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+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.726 ms | 0 - 50 MB | NPU
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+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.732 ms | 0 - 60 MB | NPU
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+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.584 ms | 0 - 58 MB | NPU
101
+ | EfficientFormer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.037 ms | 0 - 105 MB | NPU
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+ | EfficientFormer | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 4.9 ms | 0 - 65 MB | NPU
103
+ | EfficientFormer | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.521 ms | 0 - 4 MB | NPU
104
+ | EfficientFormer | TFLITE | float | Qualcomm® QCS9075 | 1.974 ms | 0 - 27 MB | NPU
105
+ | EfficientFormer | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 5.505 ms | 0 - 101 MB | NPU
106
+ | EfficientFormer | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.776 ms | 0 - 66 MB | NPU
107
+ | EfficientFormer | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.651 ms | 0 - 69 MB | NPU
108
 
109
  ## License
110
  * The license for the original implementation of EfficientFormer can be found