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RegNet

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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 +75 -75
README.md CHANGED
@@ -15,7 +15,7 @@ pipeline_tag: image-classification
15
  RegNet is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
16
 
17
  This is based on the implementation of RegNet found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py).
18
- 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/regnet) 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
 
@@ -28,26 +28,26 @@ 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 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/regnet/releases/v0.47.0/regnet-onnx-float.zip)
32
- | ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/regnet/releases/v0.47.0/regnet-onnx-w8a8.zip)
33
- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/regnet/releases/v0.47.0/regnet-qnn_dlc-float.zip)
34
- | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/regnet/releases/v0.47.0/regnet-qnn_dlc-w8a8.zip)
35
- | 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/regnet/releases/v0.47.0/regnet-tflite-float.zip)
36
- | TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/regnet/releases/v0.47.0/regnet-tflite-w8a8.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[RegNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/regnet)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
- Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/regnet) Python library to compile and export the model with your own:
44
  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
50
- See our repository for [RegNet on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/regnet) for usage instructions.
51
 
52
  ## Model Details
53
 
@@ -63,73 +63,73 @@ See our repository for [RegNet on GitHub](https://github.com/quic/ai-hub-models/
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
- | RegNet | ONNX | float | Snapdragon® X Elite | 1.96 ms | 39 - 39 MB | NPU
67
- | RegNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.243 ms | 0 - 132 MB | NPU
68
- | RegNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.749 ms | 1 - 7 MB | NPU
69
- | RegNet | ONNX | float | Qualcomm® QCS9075 | 2.87 ms | 1 - 4 MB | NPU
70
- | RegNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.001 ms | 0 - 86 MB | NPU
71
- | RegNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.836 ms | 1 - 87 MB | NPU
72
- | RegNet | ONNX | float | Snapdragon® X2 Elite | 0.92 ms | 39 - 39 MB | NPU
73
- | RegNet | ONNX | w8a8 | Snapdragon® X Elite | 1.11 ms | 20 - 20 MB | NPU
74
- | RegNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.663 ms | 0 - 135 MB | NPU
75
- | RegNet | ONNX | w8a8 | Qualcomm® QCS6490 | 28.597 ms | 8 - 20 MB | CPU
76
- | RegNet | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.898 ms | 0 - 27 MB | NPU
77
- | RegNet | ONNX | w8a8 | Qualcomm® QCS9075 | 1.076 ms | 0 - 3 MB | NPU
78
- | RegNet | ONNX | w8a8 | Qualcomm® QCM6690 | 18.149 ms | 8 - 18 MB | CPU
79
- | RegNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.543 ms | 0 - 79 MB | NPU
80
- | RegNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 13.717 ms | 8 - 18 MB | CPU
81
- | RegNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.507 ms | 0 - 89 MB | NPU
82
- | RegNet | ONNX | w8a8 | Snapdragon® X2 Elite | 0.48 ms | 20 - 20 MB | NPU
83
- | RegNet | QNN_DLC | float | Snapdragon® X Elite | 2.301 ms | 1 - 1 MB | NPU
84
- | RegNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.421 ms | 0 - 128 MB | NPU
85
- | RegNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 9.913 ms | 1 - 77 MB | NPU
86
- | RegNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.063 ms | 1 - 2 MB | NPU
87
- | RegNet | QNN_DLC | float | Qualcomm® SA8775P | 3.299 ms | 1 - 79 MB | NPU
88
- | RegNet | QNN_DLC | float | Qualcomm® QCS9075 | 3.084 ms | 3 - 5 MB | NPU
89
- | RegNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 3.479 ms | 0 - 117 MB | NPU
90
- | RegNet | QNN_DLC | float | Qualcomm® SA7255P | 9.913 ms | 1 - 77 MB | NPU
91
- | RegNet | QNN_DLC | float | Qualcomm® SA8295P | 3.503 ms | 0 - 65 MB | NPU
92
- | RegNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.113 ms | 1 - 78 MB | NPU
 
93
  | RegNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.9 ms | 1 - 81 MB | NPU
94
- | RegNet | QNN_DLC | float | Snapdragon® X2 Elite | 1.221 ms | 1 - 1 MB | NPU
95
- | RegNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.072 ms | 0 - 0 MB | NPU
96
- | RegNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.646 ms | 0 - 110 MB | NPU
97
- | RegNet | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 2.704 ms | 2 - 4 MB | NPU
98
- | RegNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.28 ms | 0 - 76 MB | NPU
99
- | RegNet | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.892 ms | 0 - 2 MB | NPU
100
- | RegNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.314 ms | 0 - 79 MB | NPU
101
- | RegNet | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.082 ms | 0 - 2 MB | NPU
102
- | RegNet | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 7.114 ms | 0 - 196 MB | NPU
103
- | RegNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.298 ms | 0 - 106 MB | NPU
104
- | RegNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.28 ms | 0 - 76 MB | NPU
105
- | RegNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.624 ms | 0 - 75 MB | NPU
106
- | RegNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.485 ms | 0 - 80 MB | NPU
107
- | RegNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.208 ms | 0 - 78 MB | NPU
108
- | RegNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.443 ms | 0 - 80 MB | NPU
109
- | RegNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.595 ms | 0 - 0 MB | NPU
110
- | RegNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.398 ms | 0 - 156 MB | NPU
111
- | RegNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 9.877 ms | 0 - 101 MB | NPU
112
- | RegNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.064 ms | 0 - 2 MB | NPU
113
- | RegNet | TFLITE | float | Qualcomm® SA8775P | 3.328 ms | 0 - 102 MB | NPU
114
- | RegNet | TFLITE | float | Qualcomm® QCS9075 | 3.051 ms | 0 - 42 MB | NPU
115
- | RegNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 3.448 ms | 0 - 143 MB | NPU
116
- | RegNet | TFLITE | float | Qualcomm® SA7255P | 9.877 ms | 0 - 101 MB | NPU
117
- | RegNet | TFLITE | float | Qualcomm® SA8295P | 3.478 ms | 0 - 83 MB | NPU
118
- | RegNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.106 ms | 0 - 104 MB | NPU
119
- | RegNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.896 ms | 0 - 105 MB | NPU
120
- | RegNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.526 ms | 0 - 118 MB | NPU
121
- | RegNet | TFLITE | w8a8 | Qualcomm® QCS6490 | 2.292 ms | 0 - 22 MB | NPU
122
- | RegNet | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.962 ms | 0 - 75 MB | NPU
123
- | RegNet | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.725 ms | 0 - 3 MB | NPU
124
- | RegNet | TFLITE | w8a8 | Qualcomm® SA8775P | 1.141 ms | 0 - 76 MB | NPU
125
- | RegNet | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.894 ms | 0 - 22 MB | NPU
126
- | RegNet | TFLITE | w8a8 | Qualcomm® QCM6690 | 6.66 ms | 0 - 190 MB | NPU
127
- | RegNet | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.095 ms | 0 - 110 MB | NPU
128
- | RegNet | TFLITE | w8a8 | Qualcomm® SA7255P | 1.962 ms | 0 - 75 MB | NPU
129
- | RegNet | TFLITE | w8a8 | Qualcomm® SA8295P | 1.435 ms | 0 - 71 MB | NPU
130
- | RegNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.421 ms | 0 - 70 MB | NPU
131
- | RegNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.982 ms | 0 - 72 MB | NPU
132
- | RegNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.386 ms | 0 - 78 MB | NPU
133
 
134
  ## License
135
  * The license for the original implementation of RegNet can be found
 
15
  RegNet is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
16
 
17
  This is based on the implementation of RegNet found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py).
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/regnet) 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/regnet/releases/v0.48.0/regnet-onnx-float.zip)
32
+ | ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/regnet/releases/v0.48.0/regnet-onnx-w8a8.zip)
33
+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/regnet/releases/v0.48.0/regnet-qnn_dlc-float.zip)
34
+ | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/regnet/releases/v0.48.0/regnet-qnn_dlc-w8a8.zip)
35
+ | 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/regnet/releases/v0.48.0/regnet-tflite-float.zip)
36
+ | TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/regnet/releases/v0.48.0/regnet-tflite-w8a8.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[RegNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/regnet)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/regnet) Python library to compile and export the model with your own:
44
  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
50
+ See our repository for [RegNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/regnet) for usage instructions.
51
 
52
  ## Model Details
53
 
 
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
+ | RegNet | ONNX | float | Snapdragon® X2 Elite | 0.906 ms | 39 - 39 MB | NPU
67
+ | RegNet | ONNX | float | Snapdragon® X Elite | 1.958 ms | 39 - 39 MB | NPU
68
+ | RegNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.24 ms | 0 - 141 MB | NPU
69
+ | RegNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.751 ms | 0 - 54 MB | NPU
70
+ | RegNet | ONNX | float | Qualcomm® QCS9075 | 2.856 ms | 0 - 4 MB | NPU
71
+ | RegNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.013 ms | 0 - 88 MB | NPU
72
+ | RegNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.836 ms | 1 - 88 MB | NPU
73
+ | RegNet | ONNX | w8a8 | Snapdragon® X2 Elite | 0.518 ms | 20 - 20 MB | NPU
74
+ | RegNet | ONNX | w8a8 | Snapdragon® X Elite | 1.103 ms | 20 - 20 MB | NPU
75
+ | RegNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.652 ms | 0 - 133 MB | NPU
76
+ | RegNet | ONNX | w8a8 | Qualcomm® QCS6490 | 28.232 ms | 8 - 20 MB | CPU
77
+ | RegNet | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.895 ms | 0 - 30 MB | NPU
78
+ | RegNet | ONNX | w8a8 | Qualcomm® QCS9075 | 1.077 ms | 0 - 3 MB | NPU
79
+ | RegNet | ONNX | w8a8 | Qualcomm® QCM6690 | 18.271 ms | 7 - 16 MB | CPU
80
+ | RegNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.545 ms | 0 - 79 MB | NPU
81
+ | RegNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 13.94 ms | 8 - 17 MB | CPU
82
+ | RegNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.511 ms | 0 - 89 MB | NPU
83
+ | RegNet | QNN_DLC | float | Snapdragon® X2 Elite | 1.227 ms | 1 - 1 MB | NPU
84
+ | RegNet | QNN_DLC | float | Snapdragon® X Elite | 2.327 ms | 1 - 1 MB | NPU
85
+ | RegNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.399 ms | 0 - 127 MB | NPU
86
+ | RegNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 9.918 ms | 1 - 77 MB | NPU
87
+ | RegNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.079 ms | 1 - 2 MB | NPU
88
+ | RegNet | QNN_DLC | float | Qualcomm® SA8775P | 3.286 ms | 1 - 79 MB | NPU
89
+ | RegNet | QNN_DLC | float | Qualcomm® QCS9075 | 3.068 ms | 1 - 3 MB | NPU
90
+ | RegNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 3.483 ms | 0 - 117 MB | NPU
91
+ | RegNet | QNN_DLC | float | Qualcomm® SA7255P | 9.918 ms | 1 - 77 MB | NPU
92
+ | RegNet | QNN_DLC | float | Qualcomm® SA8295P | 3.528 ms | 0 - 65 MB | NPU
93
+ | RegNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.121 ms | 1 - 78 MB | NPU
94
  | RegNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.9 ms | 1 - 81 MB | NPU
95
+ | RegNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.598 ms | 0 - 0 MB | NPU
96
+ | RegNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.073 ms | 0 - 0 MB | NPU
97
+ | RegNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.643 ms | 0 - 110 MB | NPU
98
+ | RegNet | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 2.693 ms | 0 - 2 MB | NPU
99
+ | RegNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.288 ms | 0 - 76 MB | NPU
100
+ | RegNet | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.888 ms | 0 - 2 MB | NPU
101
+ | RegNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 4.983 ms | 0 - 76 MB | NPU
102
+ | RegNet | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.081 ms | 2 - 4 MB | NPU
103
+ | RegNet | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 7.096 ms | 0 - 197 MB | NPU
104
+ | RegNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.366 ms | 0 - 110 MB | NPU
105
+ | RegNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.288 ms | 0 - 76 MB | NPU
106
+ | RegNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.636 ms | 0 - 75 MB | NPU
107
+ | RegNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.487 ms | 0 - 76 MB | NPU
108
+ | RegNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.148 ms | 0 - 77 MB | NPU
109
+ | RegNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.441 ms | 0 - 80 MB | NPU
110
+ | RegNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.408 ms | 0 - 160 MB | NPU
111
+ | RegNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 9.901 ms | 0 - 101 MB | NPU
112
+ | RegNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.047 ms | 0 - 2 MB | NPU
113
+ | RegNet | TFLITE | float | Qualcomm® SA8775P | 14.216 ms | 0 - 100 MB | NPU
114
+ | RegNet | TFLITE | float | Qualcomm® QCS9075 | 3.056 ms | 0 - 42 MB | NPU
115
+ | RegNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 3.448 ms | 0 - 142 MB | NPU
116
+ | RegNet | TFLITE | float | Qualcomm® SA7255P | 9.901 ms | 0 - 101 MB | NPU
117
+ | RegNet | TFLITE | float | Qualcomm® SA8295P | 3.497 ms | 0 - 83 MB | NPU
118
+ | RegNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.109 ms | 0 - 104 MB | NPU
119
+ | RegNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.895 ms | 0 - 104 MB | NPU
120
+ | RegNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.54 ms | 0 - 119 MB | NPU
121
+ | RegNet | TFLITE | w8a8 | Qualcomm® QCS6490 | 2.257 ms | 0 - 21 MB | NPU
122
+ | RegNet | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.984 ms | 0 - 74 MB | NPU
123
+ | RegNet | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.731 ms | 0 - 3 MB | NPU
124
+ | RegNet | TFLITE | w8a8 | Qualcomm® SA8775P | 1.14 ms | 0 - 76 MB | NPU
125
+ | RegNet | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.89 ms | 0 - 22 MB | NPU
126
+ | RegNet | TFLITE | w8a8 | Qualcomm® QCM6690 | 6.644 ms | 0 - 190 MB | NPU
127
+ | RegNet | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.099 ms | 0 - 117 MB | NPU
128
+ | RegNet | TFLITE | w8a8 | Qualcomm® SA7255P | 1.984 ms | 0 - 74 MB | NPU
129
+ | RegNet | TFLITE | w8a8 | Qualcomm® SA8295P | 1.412 ms | 0 - 71 MB | NPU
130
+ | RegNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.423 ms | 0 - 79 MB | NPU
131
+ | RegNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.988 ms | 0 - 71 MB | NPU
132
+ | RegNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.392 ms | 0 - 78 MB | NPU
 
133
 
134
  ## License
135
  * The license for the original implementation of RegNet can be found