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MobileNet-v3-Large

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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 +62 -62
README.md CHANGED
@@ -17,7 +17,7 @@ pipeline_tag: image-classification
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  MobileNet-v3-Large 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.
18
 
19
  This is based on the implementation of MobileNet-v3-Large found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv3.py).
20
- 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/mobilenet_v3_large) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
21
 
22
  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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@@ -30,25 +30,25 @@ Below are pre-exported model assets ready for deployment.
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31
  | Runtime | Precision | Chipset | SDK Versions | Download |
32
  |---|---|---|---|---|
33
- | 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/mobilenet_v3_large/releases/v0.47.0/mobilenet_v3_large-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/mobilenet_v3_large/releases/v0.47.0/mobilenet_v3_large-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/mobilenet_v3_large/releases/v0.47.0/mobilenet_v3_large-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/mobilenet_v3_large/releases/v0.47.0/mobilenet_v3_large-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/mobilenet_v3_large/releases/v0.47.0/mobilenet_v3_large-tflite-float.zip)
38
 
39
  For more device-specific assets and performance metrics, visit **[MobileNet-v3-Large on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mobilenet_v3_large)**.
40
 
41
 
42
  ### Option 2: Export with Custom Configurations
43
 
44
- Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/mobilenet_v3_large) Python library to compile and export the model with your own:
45
  - Custom weights (e.g., fine-tuned checkpoints)
46
  - Custom input shapes
47
  - Target device and runtime configurations
48
 
49
  This option is ideal if you need to customize the model beyond the default configuration provided here.
50
 
51
- See our repository for [MobileNet-v3-Large on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/mobilenet_v3_large) for usage instructions.
52
 
53
  ## Model Details
54
 
@@ -64,60 +64,60 @@ See our repository for [MobileNet-v3-Large on GitHub](https://github.com/quic/ai
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  ## Performance Summary
65
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
66
  |---|---|---|---|---|---|---
67
- | MobileNet-v3-Large | ONNX | float | Snapdragon® X Elite | 0.864 ms | 12 - 12 MB | NPU
68
- | MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.497 ms | 0 - 58 MB | NPU
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- | MobileNet-v3-Large | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.711 ms | 1 - 2 MB | NPU
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- | MobileNet-v3-Large | ONNX | float | Qualcomm® QCS9075 | 1.004 ms | 1 - 3 MB | NPU
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- | MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.401 ms | 0 - 34 MB | NPU
72
- | MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.357 ms | 0 - 37 MB | NPU
73
- | MobileNet-v3-Large | ONNX | float | Snapdragon® X2 Elite | 0.336 ms | 13 - 13 MB | NPU
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- | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® X Elite | 0.849 ms | 6 - 6 MB | NPU
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- | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.476 ms | 0 - 57 MB | NPU
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- | MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS6490 | 54.676 ms | 27 - 31 MB | CPU
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- | MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.682 ms | 0 - 36 MB | NPU
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- | MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS9075 | 0.862 ms | 0 - 3 MB | NPU
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- | MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCM6690 | 20.309 ms | 23 - 32 MB | CPU
80
- | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.368 ms | 0 - 36 MB | NPU
81
- | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 14.503 ms | 24 - 33 MB | CPU
82
- | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.292 ms | 0 - 41 MB | NPU
83
- | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® X2 Elite | 0.319 ms | 6 - 6 MB | NPU
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- | MobileNet-v3-Large | QNN_DLC | float | Snapdragon® X Elite | 1.215 ms | 1 - 1 MB | NPU
85
- | MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.686 ms | 0 - 54 MB | NPU
86
- | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 2.985 ms | 0 - 35 MB | NPU
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- | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.045 ms | 1 - 2 MB | NPU
88
- | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA8775P | 1.39 ms | 0 - 37 MB | NPU
89
- | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS9075 | 1.224 ms | 1 - 3 MB | NPU
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- | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.906 ms | 0 - 58 MB | NPU
91
- | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA7255P | 2.985 ms | 0 - 35 MB | NPU
92
- | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA8295P | 1.869 ms | 0 - 35 MB | NPU
93
- | MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.527 ms | 1 - 40 MB | NPU
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- | MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.443 ms | 1 - 40 MB | NPU
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- | MobileNet-v3-Large | QNN_DLC | float | Snapdragon® X2 Elite | 0.598 ms | 1 - 1 MB | NPU
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- | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.098 ms | 0 - 0 MB | NPU
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- | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.655 ms | 0 - 48 MB | NPU
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- | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 2.675 ms | 0 - 2 MB | NPU
99
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 2.084 ms | 0 - 32 MB | NPU
100
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.929 ms | 0 - 2 MB | NPU
101
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.161 ms | 0 - 36 MB | NPU
102
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 1.165 ms | 0 - 2 MB | NPU
103
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 4.047 ms | 0 - 147 MB | NPU
104
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 1.231 ms | 0 - 51 MB | NPU
105
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA7255P | 2.084 ms | 0 - 32 MB | NPU
106
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.647 ms | 0 - 32 MB | NPU
107
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.46 ms | 0 - 35 MB | NPU
108
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.988 ms | 0 - 32 MB | NPU
109
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.371 ms | 0 - 35 MB | NPU
110
- | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.531 ms | 0 - 0 MB | NPU
111
- | MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.703 ms | 0 - 61 MB | NPU
112
- | MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 3.052 ms | 0 - 40 MB | NPU
113
- | MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.061 ms | 0 - 7 MB | NPU
114
- | MobileNet-v3-Large | TFLITE | float | Qualcomm® SA8775P | 1.424 ms | 0 - 43 MB | NPU
115
- | MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS9075 | 1.273 ms | 0 - 15 MB | NPU
116
- | MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.935 ms | 0 - 64 MB | NPU
117
- | MobileNet-v3-Large | TFLITE | float | Qualcomm® SA7255P | 3.052 ms | 0 - 40 MB | NPU
118
- | MobileNet-v3-Large | TFLITE | float | Qualcomm® SA8295P | 1.881 ms | 0 - 41 MB | NPU
119
- | MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.534 ms | 0 - 45 MB | NPU
120
- | MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.443 ms | 0 - 45 MB | NPU
121
 
122
  ## License
123
  * The license for the original implementation of MobileNet-v3-Large can be found
 
17
  MobileNet-v3-Large 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.
18
 
19
  This is based on the implementation of MobileNet-v3-Large found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv3.py).
20
+ 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/mobilenet_v3_large) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
21
 
22
  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.
23
 
 
30
 
31
  | Runtime | Precision | Chipset | SDK Versions | Download |
32
  |---|---|---|---|---|
33
+ | 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/mobilenet_v3_large/releases/v0.48.0/mobilenet_v3_large-onnx-float.zip)
34
+ | 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/mobilenet_v3_large/releases/v0.48.0/mobilenet_v3_large-onnx-w8a16.zip)
35
+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_large/releases/v0.48.0/mobilenet_v3_large-qnn_dlc-float.zip)
36
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_large/releases/v0.48.0/mobilenet_v3_large-qnn_dlc-w8a16.zip)
37
+ | 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/mobilenet_v3_large/releases/v0.48.0/mobilenet_v3_large-tflite-float.zip)
38
 
39
  For more device-specific assets and performance metrics, visit **[MobileNet-v3-Large on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mobilenet_v3_large)**.
40
 
41
 
42
  ### Option 2: Export with Custom Configurations
43
 
44
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/mobilenet_v3_large) Python library to compile and export the model with your own:
45
  - Custom weights (e.g., fine-tuned checkpoints)
46
  - Custom input shapes
47
  - Target device and runtime configurations
48
 
49
  This option is ideal if you need to customize the model beyond the default configuration provided here.
50
 
51
+ See our repository for [MobileNet-v3-Large on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/mobilenet_v3_large) for usage instructions.
52
 
53
  ## Model Details
54
 
 
64
  ## Performance Summary
65
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
66
  |---|---|---|---|---|---|---
67
+ | MobileNet-v3-Large | ONNX | float | Snapdragon® X2 Elite | 0.361 ms | 13 - 13 MB | NPU
68
+ | MobileNet-v3-Large | ONNX | float | Snapdragon® X Elite | 0.853 ms | 12 - 12 MB | NPU
69
+ | MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.501 ms | 0 - 54 MB | NPU
70
+ | MobileNet-v3-Large | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.717 ms | 1 - 2 MB | NPU
71
+ | MobileNet-v3-Large | ONNX | float | Qualcomm® QCS9075 | 1.003 ms | 1 - 3 MB | NPU
72
+ | MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.398 ms | 0 - 34 MB | NPU
73
+ | MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.357 ms | 0 - 39 MB | NPU
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+ | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® X2 Elite | 0.314 ms | 6 - 6 MB | NPU
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+ | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® X Elite | 0.847 ms | 6 - 6 MB | NPU
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+ | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.47 ms | 0 - 58 MB | NPU
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+ | MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS6490 | 55.177 ms | 24 - 28 MB | CPU
78
+ | MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.681 ms | 0 - 9 MB | NPU
79
+ | MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS9075 | 0.861 ms | 0 - 3 MB | NPU
80
+ | MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCM6690 | 20.303 ms | 25 - 33 MB | CPU
81
+ | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.365 ms | 0 - 35 MB | NPU
82
+ | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 14.391 ms | 25 - 34 MB | CPU
83
+ | MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.29 ms | 0 - 41 MB | NPU
84
+ | MobileNet-v3-Large | QNN_DLC | float | Snapdragon® X2 Elite | 0.56 ms | 1 - 1 MB | NPU
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+ | MobileNet-v3-Large | QNN_DLC | float | Snapdragon® X Elite | 1.212 ms | 1 - 1 MB | NPU
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+ | MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.683 ms | 0 - 54 MB | NPU
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+ | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 2.974 ms | 1 - 35 MB | NPU
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+ | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.046 ms | 1 - 2 MB | NPU
89
+ | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA8775P | 5.911 ms | 1 - 35 MB | NPU
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+ | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS9075 | 1.23 ms | 3 - 5 MB | NPU
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+ | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.905 ms | 0 - 58 MB | NPU
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+ | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA7255P | 2.974 ms | 1 - 35 MB | NPU
93
+ | MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA8295P | 1.844 ms | 0 - 34 MB | NPU
94
+ | MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.525 ms | 0 - 35 MB | NPU
95
+ | MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.441 ms | 1 - 40 MB | NPU
96
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.513 ms | 0 - 0 MB | NPU
97
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.122 ms | 0 - 0 MB | NPU
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+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.661 ms | 0 - 48 MB | NPU
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+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 2.782 ms | 2 - 4 MB | NPU
100
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 2.088 ms | 0 - 32 MB | NPU
101
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.934 ms | 0 - 2 MB | NPU
102
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.169 ms | 0 - 34 MB | NPU
103
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 1.142 ms | 0 - 2 MB | NPU
104
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 4.052 ms | 0 - 146 MB | NPU
105
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 1.225 ms | 0 - 52 MB | NPU
106
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA7255P | 2.088 ms | 0 - 32 MB | NPU
107
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.625 ms | 0 - 32 MB | NPU
108
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.46 ms | 0 - 31 MB | NPU
109
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.991 ms | 0 - 31 MB | NPU
110
+ | MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.373 ms | 0 - 35 MB | NPU
111
+ | MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.711 ms | 0 - 66 MB | NPU
112
+ | MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 3.081 ms | 0 - 40 MB | NPU
113
+ | MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.066 ms | 0 - 88 MB | NPU
114
+ | MobileNet-v3-Large | TFLITE | float | Qualcomm® SA8775P | 1.411 ms | 0 - 43 MB | NPU
115
+ | MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS9075 | 1.278 ms | 0 - 15 MB | NPU
116
+ | MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.937 ms | 0 - 65 MB | NPU
117
+ | MobileNet-v3-Large | TFLITE | float | Qualcomm® SA7255P | 3.081 ms | 0 - 40 MB | NPU
118
+ | MobileNet-v3-Large | TFLITE | float | Qualcomm® SA8295P | 1.887 ms | 0 - 40 MB | NPU
119
+ | MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.535 ms | 0 - 40 MB | NPU
120
+ | MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.446 ms | 0 - 45 MB | NPU
121
 
122
  ## License
123
  * The license for the original implementation of MobileNet-v3-Large can be found