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EfficientFormer

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v0.58.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.58.0 for changelog.

Files changed (2) hide show
  1. README.md +82 -76
  2. release_assets.json +6 -6
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/qualcomm/ai-hub-models/blob/v0.57.3/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).
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
 
@@ -28,25 +28,25 @@ Below are pre-exported model assets ready for deployment.
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29
  | Runtime | Precision | Chipset | SDK Versions | Download |
30
  |---|---|---|---|---|
31
- | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.57.3/efficientformer-onnx-float.zip)
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- | ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.57.3/efficientformer-onnx-w8a16.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/efficientformer/releases/v0.57.3/efficientformer-qnn_dlc-float.zip)
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- | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.57.3/efficientformer-qnn_dlc-w8a16.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/efficientformer/releases/v0.57.3/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/v0.57.3/src/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/v0.57.3/src/qai_hub_models/models/efficientformer) for usage instructions.
50
 
51
  ## Model Details
52
 
@@ -62,74 +62,80 @@ See our repository for [EfficientFormer on GitHub](https://github.com/qualcomm/a
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  ## 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 | 0.639 ms | 212 - 212 MB | NPU
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- | EfficientFormer | ONNX | float | Snapdragon® X Elite | 1.359 ms | 181 - 181 MB | NPU
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- | EfficientFormer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.915 ms | 0 - 70 MB | NPU
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- | EfficientFormer | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 5.103 ms | 1 - 74 MB | NPU
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- | EfficientFormer | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.319 ms | 1 - 44 MB | NPU
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- | EfficientFormer | ONNX | float | Qualcomm® QCS8450 | 5.103 ms | 1 - 74 MB | NPU
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- | EfficientFormer | ONNX | float | Snapdragon® 8 Elite Mobile | 0.703 ms | 0 - 45 MB | NPU
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- | EfficientFormer | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.609 ms | 1 - 40 MB | NPU
73
- | EfficientFormer | ONNX | float | Qualcomm® QCS9075 | 1.867 ms | 1 - 46 MB | NPU
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- | EfficientFormer | ONNX | float | Qualcomm® QCS8750 | 0.703 ms | 0 - 45 MB | NPU
75
- | EfficientFormer | ONNX | float | Qualcomm® QCS7181 | 1.359 ms | 181 - 181 MB | NPU
76
- | EfficientFormer | ONNX | w8a16 | Snapdragon® X2 Elite | 0.563 ms | 212 - 212 MB | NPU
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- | EfficientFormer | ONNX | w8a16 | Snapdragon® X Elite | 1.365 ms | 181 - 181 MB | NPU
78
- | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.895 ms | 0 - 82 MB | NPU
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- | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.245 ms | 0 - 76 MB | NPU
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- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS6490 | 4.292 ms | 1 - 46 MB | NPU
81
- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.36 ms | 0 - 4 MB | NPU
82
- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS8450 | 2.245 ms | 0 - 76 MB | NPU
83
- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS9075 | 1.461 ms | 0 - 45 MB | NPU
84
- | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.529 ms | 0 - 66 MB | NPU
85
- | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.602 ms | 0 - 63 MB | NPU
86
- | EfficientFormer | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.473 ms | 0 - 65 MB | NPU
87
- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCM6690 | 6.213 ms | 0 - 182 MB | NPU
88
- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS7790 | 1.473 ms | 0 - 65 MB | NPU
89
- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS8750 | 0.602 ms | 0 - 63 MB | NPU
90
- | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS7181 | 1.365 ms | 181 - 181 MB | NPU
91
- | EfficientFormer | QNN_DLC | float | Snapdragon® X2 Elite | 0.918 ms | 1 - 1 MB | NPU
92
- | EfficientFormer | QNN_DLC | float | Snapdragon® X Elite | 1.697 ms | 1 - 1 MB | NPU
93
- | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.034 ms | 0 - 75 MB | NPU
94
- | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 5.588 ms | 0 - 79 MB | NPU
95
- | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8275 | 4.889 ms | 1 - 40 MB | NPU
96
- | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.511 ms | 1 - 2 MB | NPU
97
- | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8450 | 5.588 ms | 0 - 79 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.772 ms | 0 - 40 MB | NPU
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- | EfficientFormer | QNN_DLC | float | Qualcomm® SA8295P | 3.995 ms | 0 - 39 MB | NPU
100
- | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.652 ms | 1 - 44 MB | NPU
101
- | EfficientFormer | QNN_DLC | float | Qualcomm® SA7255P | 4.889 ms | 1 - 40 MB | NPU
102
- | EfficientFormer | QNN_DLC | float | Qualcomm® QCS9075 | 1.954 ms | 1 - 3 MB | NPU
103
- | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8750 | 0.772 ms | 0 - 40 MB | NPU
104
- | EfficientFormer | QNN_DLC | float | Qualcomm® QCS7181 | 1.697 ms | 1 - 1 MB | NPU
105
- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.852 ms | 0 - 0 MB | NPU
106
- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.786 ms | 0 - 0 MB | NPU
107
- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.076 ms | 0 - 80 MB | NPU
108
- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS8275 | 3.232 ms | 0 - 58 MB | NPU
109
- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.564 ms | 0 - 2 MB | NPU
110
- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 1.766 ms | 0 - 2 MB | NPU
111
- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.614 ms | 0 - 66 MB | NPU
112
- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.71 ms | 0 - 55 MB | NPU
113
- | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.713 ms | 0 - 62 MB | NPU
114
- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 6.995 ms | 0 - 178 MB | NPU
115
- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® SA7255P | 3.232 ms | 0 - 58 MB | NPU
116
- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS7790 | 1.713 ms | 0 - 62 MB | NPU
117
- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS8750 | 0.71 ms | 0 - 55 MB | NPU
118
- | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS7181 | 1.786 ms | 0 - 0 MB | NPU
119
- | EfficientFormer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.033 ms | 0 - 96 MB | NPU
120
- | EfficientFormer | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 5.546 ms | 0 - 97 MB | NPU
121
- | EfficientFormer | TFLITE | float | Qualcomm® QCS8275 | 4.887 ms | 0 - 52 MB | NPU
122
- | EfficientFormer | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.514 ms | 0 - 16 MB | NPU
123
- | EfficientFormer | TFLITE | float | Qualcomm® SA8775P | 8.986 ms | 0 - 29 MB | GPU
124
- | EfficientFormer | TFLITE | float | Qualcomm® SA8650P | 8.986 ms | 0 - 29 MB | GPU
125
- | EfficientFormer | TFLITE | float | Qualcomm® SA8255P | 8.986 ms | 0 - 29 MB | GPU
126
- | EfficientFormer | TFLITE | float | Qualcomm® QCS8450 | 5.546 ms | 0 - 97 MB | NPU
127
- | EfficientFormer | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.764 ms | 0 - 49 MB | NPU
128
- | EfficientFormer | TFLITE | float | Qualcomm® SA8295P | 3.995 ms | 0 - 48 MB | NPU
129
- | EfficientFormer | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.653 ms | 0 - 53 MB | NPU
130
- | EfficientFormer | TFLITE | float | Qualcomm® SA7255P | 4.887 ms | 0 - 52 MB | NPU
131
- | EfficientFormer | TFLITE | float | Qualcomm® QCS9075 | 1.95 ms | 0 - 27 MB | NPU
132
- | EfficientFormer | TFLITE | float | Qualcomm® QCS8750 | 0.764 ms | 0 - 49 MB | NPU
 
 
 
 
 
 
133
 
134
  ## License
135
  * 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/v0.58.0/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).
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 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.58.0/efficientformer-onnx-float.zip)
32
+ | ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.58.0/efficientformer-onnx-w8a16.zip)
33
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.58.0/efficientformer-qnn_dlc-float.zip)
34
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.58.0/efficientformer-qnn_dlc-w8a16.zip)
35
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.58.0/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/v0.58.0/src/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/v0.58.0/src/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 | 0.635 ms | 2 - 2 MB | NPU
66
+ | EfficientFormer | ONNX | float | Snapdragon® X Elite | 1.376 ms | 24 - 24 MB | NPU
67
+ | EfficientFormer | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.915 ms | 0 - 79 MB | NPU
68
+ | EfficientFormer | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 5.095 ms | 1 - 83 MB | NPU
69
+ | EfficientFormer | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.324 ms | 0 - 39 MB | NPU
70
+ | EfficientFormer | ONNX | float | Qualcomm® QCS8450 | 5.095 ms | 1 - 83 MB | NPU
71
+ | EfficientFormer | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.759 ms | 1 - 3 MB | NPU
72
+ | EfficientFormer | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.612 ms | 0 - 45 MB | NPU
73
+ | EfficientFormer | ONNX | float | Snapdragon® 8 Elite Mobile | 0.69 ms | 0 - 44 MB | NPU
74
+ | EfficientFormer | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.69 ms | 0 - 44 MB | NPU
75
+ | EfficientFormer | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.376 ms | 24 - 24 MB | NPU
76
+ | EfficientFormer | ONNX | w8a16 | Snapdragon® X2 Elite | 0.567 ms | 1 - 1 MB | NPU
77
+ | EfficientFormer | ONNX | w8a16 | Snapdragon® X Elite | 1.378 ms | 12 - 12 MB | NPU
78
+ | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.898 ms | 0 - 95 MB | NPU
79
+ | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.216 ms | 0 - 87 MB | NPU
80
+ | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 5.752 ms | 1 - 3 MB | NPU
81
+ | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.319 ms | 0 - 3 MB | NPU
82
+ | EfficientFormer | ONNX | w8a16 | Qualcomm® QCS8450 | 2.216 ms | 0 - 87 MB | NPU
83
+ | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.573 ms | 0 - 3 MB | NPU
84
+ | EfficientFormer | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.469 ms | 0 - 70 MB | NPU
85
+ | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.532 ms | 0 - 72 MB | NPU
86
+ | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.234 ms | 0 - 187 MB | NPU
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+ | EfficientFormer | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.609 ms | 0 - 61 MB | NPU
88
+ | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.469 ms | 0 - 70 MB | NPU
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+ | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.609 ms | 0 - 61 MB | NPU
90
+ | EfficientFormer | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.378 ms | 12 - 12 MB | NPU
91
+ | EfficientFormer | QNN_DLC | float | Snapdragon® X2 Elite | 0.92 ms | 1 - 1 MB | NPU
92
+ | EfficientFormer | QNN_DLC | float | Snapdragon® X Elite | 1.675 ms | 1 - 1 MB | NPU
93
+ | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.036 ms | 0 - 75 MB | NPU
94
+ | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 5.577 ms | 0 - 77 MB | NPU
95
+ | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8275 | 4.896 ms | 0 - 40 MB | NPU
96
+ | EfficientFormer | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.479 ms | 1 - 2 MB | NPU
97
+ | EfficientFormer | QNN_DLC | float | Qualcomm® SA8775P | 2.068 ms | 1 - 43 MB | NPU
98
+ | EfficientFormer | QNN_DLC | float | Qualcomm® SA8650P | 2.068 ms | 1 - 43 MB | NPU
99
+ | EfficientFormer | QNN_DLC | float | Qualcomm® SA8255P | 2.068 ms | 1 - 43 MB | NPU
100
+ | EfficientFormer | QNN_DLC | float | Qualcomm® QCS8450 | 5.577 ms | 0 - 77 MB | NPU
101
+ | EfficientFormer | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 2.108 ms | 1 - 3 MB | NPU
102
+ | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.65 ms | 1 - 45 MB | NPU
103
+ | EfficientFormer | QNN_DLC | float | Qualcomm® SA7255P | 4.896 ms | 0 - 40 MB | NPU
104
+ | EfficientFormer | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.769 ms | 0 - 44 MB | NPU
105
+ | EfficientFormer | QNN_DLC | float | Qualcomm® SA8295P | 3.989 ms | 1 - 39 MB | NPU
106
+ | EfficientFormer | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.769 ms | 0 - 44 MB | NPU
107
+ | EfficientFormer | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.675 ms | 1 - 1 MB | NPU
108
+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.885 ms | 0 - 0 MB | NPU
109
+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.781 ms | 0 - 0 MB | NPU
110
+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.075 ms | 0 - 80 MB | NPU
111
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® QCS8275 | 3.241 ms | 0 - 58 MB | NPU
112
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.563 ms | 0 - 2 MB | NPU
113
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.892 ms | 0 - 59 MB | NPU
114
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.892 ms | 0 - 59 MB | NPU
115
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.892 ms | 0 - 59 MB | NPU
116
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.735 ms | 2 - 4 MB | NPU
117
+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.692 ms | 0 - 62 MB | NPU
118
+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.615 ms | 0 - 65 MB | NPU
119
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.987 ms | 0 - 178 MB | NPU
120
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® SA7255P | 3.241 ms | 0 - 58 MB | NPU
121
+ | EfficientFormer | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.705 ms | 0 - 52 MB | NPU
122
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.692 ms | 0 - 62 MB | NPU
123
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.705 ms | 0 - 52 MB | NPU
124
+ | EfficientFormer | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.781 ms | 0 - 0 MB | NPU
125
+ | EfficientFormer | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.031 ms | 0 - 88 MB | NPU
126
+ | EfficientFormer | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 5.541 ms | 0 - 96 MB | NPU
127
+ | EfficientFormer | TFLITE | float | Qualcomm® QCS8275 | 4.852 ms | 0 - 52 MB | NPU
128
+ | EfficientFormer | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.469 ms | 0 - 29 MB | NPU
129
+ | EfficientFormer | TFLITE | float | Qualcomm® SA8775P | 2.066 ms | 0 - 53 MB | NPU
130
+ | EfficientFormer | TFLITE | float | Qualcomm® SA8650P | 2.066 ms | 0 - 53 MB | NPU
131
+ | EfficientFormer | TFLITE | float | Qualcomm® SA8255P | 2.066 ms | 0 - 53 MB | NPU
132
+ | EfficientFormer | TFLITE | float | Qualcomm® QCS8450 | 5.541 ms | 0 - 96 MB | NPU
133
+ | EfficientFormer | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.886 ms | 0 - 27 MB | NPU
134
+ | EfficientFormer | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.655 ms | 0 - 53 MB | NPU
135
+ | EfficientFormer | TFLITE | float | Qualcomm® SA7255P | 4.852 ms | 0 - 52 MB | NPU
136
+ | EfficientFormer | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.779 ms | 0 - 56 MB | NPU
137
+ | EfficientFormer | TFLITE | float | Qualcomm® SA8295P | 4.018 ms | 0 - 47 MB | NPU
138
+ | EfficientFormer | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.779 ms | 0 - 56 MB | NPU
139
 
140
  ## License
141
  * The license for the original implementation of EfficientFormer can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "version": "0.57.3",
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  "precisions": {
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  "w8a16": {
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  "universal_assets": {
@@ -7,14 +7,14 @@
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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/efficientformer/releases/v0.57.3/efficientformer-qnn_dlc-w8a16.zip"
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327",
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  "onnx_runtime": "1.25.0"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.57.3/efficientformer-onnx-w8a16.zip"
18
  }
19
  }
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  },
@@ -25,20 +25,20 @@
25
  "qairt": "2.45.0.260326154327",
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  "litert": "1.4.4"
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  },
28
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.57.3/efficientformer-tflite-float.zip"
29
  },
30
  "qnn_dlc": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327"
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.57.3/efficientformer-qnn_dlc-float.zip"
35
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327",
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  "onnx_runtime": "1.25.0"
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.57.3/efficientformer-onnx-float.zip"
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  "universal_assets": {
 
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  "tool_versions": {
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  "tool_versions": {
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  "qairt": "2.45.0.260326154327",
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  "onnx_runtime": "1.25.0"
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.58.0/efficientformer-onnx-w8a16.zip"
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  "qairt": "2.45.0.260326154327",
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  "litert": "1.4.4"
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.58.0/efficientformer-tflite-float.zip"
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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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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.58.0/efficientformer-qnn_dlc-float.zip"
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  "tool_versions": {
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientformer/releases/v0.58.0/efficientformer-onnx-float.zip"
42
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44
  }