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v0.49.1

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See https://github.com/qualcomm/ai-hub-models/releases/v0.49.1 for changelog.

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  1. README.md +75 -75
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: image-classification
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  GoogLeNet 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.
15
 
16
  This is based on the implementation of GoogLeNet found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/googlenet.py).
17
- 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/googlenet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
18
 
19
  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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@@ -27,26 +27,26 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
- | 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/googlenet/releases/v0.48.0/googlenet-onnx-float.zip)
31
- | 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/googlenet/releases/v0.48.0/googlenet-onnx-w8a8.zip)
32
- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/googlenet/releases/v0.48.0/googlenet-qnn_dlc-float.zip)
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- | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/googlenet/releases/v0.48.0/googlenet-qnn_dlc-w8a8.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/googlenet/releases/v0.48.0/googlenet-tflite-float.zip)
35
- | 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/googlenet/releases/v0.48.0/googlenet-tflite-w8a8.zip)
36
 
37
  For more device-specific assets and performance metrics, visit **[GoogLeNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/googlenet)**.
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/googlenet) 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 [GoogLeNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/googlenet) for usage instructions.
50
 
51
  ## Model Details
52
 
@@ -62,73 +62,73 @@ See our repository for [GoogLeNet on GitHub](https://github.com/qualcomm/ai-hub-
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  ## Performance Summary
63
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
64
  |---|---|---|---|---|---|---
65
- | GoogLeNet | ONNX | float | Snapdragon® X2 Elite | 0.442 ms | 13 - 13 MB | NPU
66
- | GoogLeNet | ONNX | float | Snapdragon® X Elite | 1.002 ms | 13 - 13 MB | NPU
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- | GoogLeNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.562 ms | 0 - 46 MB | NPU
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- | GoogLeNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.843 ms | 0 - 2 MB | NPU
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- | GoogLeNet | ONNX | float | Qualcomm® QCS9075 | 1.545 ms | 1 - 3 MB | NPU
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- | GoogLeNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.479 ms | 0 - 31 MB | NPU
71
  | GoogLeNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.398 ms | 0 - 31 MB | NPU
72
- | GoogLeNet | ONNX | w8a8 | Snapdragon® X2 Elite | 0.177 ms | 7 - 7 MB | NPU
73
- | GoogLeNet | ONNX | w8a8 | Snapdragon® X Elite | 0.405 ms | 7 - 7 MB | NPU
74
- | GoogLeNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.231 ms | 0 - 54 MB | NPU
75
- | GoogLeNet | ONNX | w8a8 | Qualcomm® QCS6490 | 13.691 ms | 8 - 18 MB | CPU
76
- | GoogLeNet | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.303 ms | 0 - 9 MB | NPU
77
- | GoogLeNet | ONNX | w8a8 | Qualcomm® QCS9075 | 0.435 ms | 0 - 3 MB | NPU
78
- | GoogLeNet | ONNX | w8a8 | Qualcomm® QCM6690 | 9.199 ms | 7 - 16 MB | CPU
79
- | GoogLeNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.19 ms | 0 - 30 MB | NPU
80
- | GoogLeNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 7.061 ms | 7 - 16 MB | CPU
81
- | GoogLeNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.186 ms | 0 - 34 MB | NPU
82
- | GoogLeNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.502 ms | 1 - 1 MB | NPU
83
- | GoogLeNet | QNN_DLC | float | Snapdragon® X Elite | 0.96 ms | 1 - 1 MB | NPU
84
- | GoogLeNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.552 ms | 0 - 45 MB | NPU
85
- | GoogLeNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 4.975 ms | 1 - 28 MB | NPU
86
- | GoogLeNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.809 ms | 1 - 80 MB | NPU
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- | GoogLeNet | QNN_DLC | float | Qualcomm® SA8775P | 1.542 ms | 1 - 29 MB | NPU
88
- | GoogLeNet | QNN_DLC | float | Qualcomm® QCS9075 | 1.517 ms | 3 - 5 MB | NPU
89
- | GoogLeNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.764 ms | 0 - 45 MB | NPU
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- | GoogLeNet | QNN_DLC | float | Qualcomm® SA7255P | 4.975 ms | 1 - 28 MB | NPU
91
- | GoogLeNet | QNN_DLC | float | Qualcomm® SA8295P | 1.783 ms | 0 - 25 MB | NPU
92
- | GoogLeNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.452 ms | 0 - 31 MB | NPU
93
- | GoogLeNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.381 ms | 1 - 32 MB | NPU
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- | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.231 ms | 0 - 0 MB | NPU
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- | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.352 ms | 0 - 0 MB | NPU
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- | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.181 ms | 0 - 42 MB | NPU
97
- | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.049 ms | 2 - 4 MB | NPU
98
- | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.817 ms | 0 - 27 MB | NPU
99
- | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.249 ms | 0 - 2 MB | NPU
100
- | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.413 ms | 0 - 29 MB | NPU
101
- | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.334 ms | 2 - 4 MB | NPU
102
- | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 2.259 ms | 0 - 29 MB | NPU
103
- | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.413 ms | 0 - 43 MB | NPU
104
- | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 0.817 ms | 0 - 27 MB | NPU
105
- | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.601 ms | 0 - 25 MB | NPU
106
- | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.151 ms | 0 - 27 MB | NPU
107
- | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.328 ms | 0 - 28 MB | NPU
108
- | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.143 ms | 0 - 30 MB | NPU
109
- | GoogLeNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.549 ms | 0 - 59 MB | NPU
110
- | GoogLeNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 4.981 ms | 0 - 34 MB | NPU
111
- | GoogLeNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 0.809 ms | 0 - 2 MB | NPU
112
- | GoogLeNet | TFLITE | float | Qualcomm® SA8775P | 1.547 ms | 0 - 37 MB | NPU
113
- | GoogLeNet | TFLITE | float | Qualcomm® QCS9075 | 1.527 ms | 0 - 16 MB | NPU
114
- | GoogLeNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.758 ms | 0 - 57 MB | NPU
115
- | GoogLeNet | TFLITE | float | Qualcomm® SA7255P | 4.981 ms | 0 - 34 MB | NPU
116
- | GoogLeNet | TFLITE | float | Qualcomm® SA8295P | 1.789 ms | 0 - 32 MB | NPU
117
- | GoogLeNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.455 ms | 0 - 38 MB | NPU
118
- | GoogLeNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.384 ms | 0 - 38 MB | NPU
119
- | GoogLeNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.189 ms | 0 - 41 MB | NPU
120
- | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.033 ms | 0 - 8 MB | NPU
121
- | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.828 ms | 0 - 27 MB | NPU
122
- | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.241 ms | 0 - 2 MB | NPU
123
- | GoogLeNet | TFLITE | w8a8 | Qualcomm® SA8775P | 0.436 ms | 0 - 28 MB | NPU
124
- | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.347 ms | 0 - 9 MB | NPU
125
- | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCM6690 | 2.241 ms | 0 - 28 MB | NPU
126
- | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.422 ms | 0 - 42 MB | NPU
127
- | GoogLeNet | TFLITE | w8a8 | Qualcomm® SA7255P | 0.828 ms | 0 - 27 MB | NPU
128
- | GoogLeNet | TFLITE | w8a8 | Qualcomm® SA8295P | 0.632 ms | 0 - 24 MB | NPU
129
- | GoogLeNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.151 ms | 0 - 27 MB | NPU
130
- | GoogLeNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.332 ms | 0 - 28 MB | NPU
131
- | GoogLeNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.139 ms | 0 - 30 MB | NPU
 
 
 
 
 
 
132
 
133
  ## License
134
  * The license for the original implementation of GoogLeNet can be found
 
14
  GoogLeNet 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.
15
 
16
  This is based on the implementation of GoogLeNet found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/googlenet.py).
17
+ 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/tree/v0.49.1/qai_hub_models/models/googlenet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
18
 
19
  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.
20
 
 
27
 
28
  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
+ | 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/googlenet/releases/v0.49.1/googlenet-onnx-float.zip)
31
+ | 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/googlenet/releases/v0.49.1/googlenet-onnx-w8a8.zip)
32
+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/googlenet/releases/v0.49.1/googlenet-qnn_dlc-float.zip)
33
+ | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/googlenet/releases/v0.49.1/googlenet-qnn_dlc-w8a8.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/googlenet/releases/v0.49.1/googlenet-tflite-float.zip)
35
+ | 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/googlenet/releases/v0.49.1/googlenet-tflite-w8a8.zip)
36
 
37
  For more device-specific assets and performance metrics, visit **[GoogLeNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/googlenet)**.
38
 
39
 
40
  ### Option 2: Export with Custom Configurations
41
 
42
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/googlenet) 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 [GoogLeNet on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/googlenet) 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
  | GoogLeNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.398 ms | 0 - 31 MB | NPU
66
+ | GoogLeNet | ONNX | float | Snapdragon® X2 Elite | 0.432 ms | 13 - 13 MB | NPU
67
+ | GoogLeNet | ONNX | float | Snapdragon® X Elite | 1.001 ms | 13 - 13 MB | NPU
68
+ | GoogLeNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.564 ms | 0 - 46 MB | NPU
69
+ | GoogLeNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.842 ms | 0 - 2 MB | NPU
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+ | GoogLeNet | ONNX | float | Qualcomm® QCS9075 | 1.543 ms | 1 - 3 MB | NPU
71
+ | GoogLeNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.474 ms | 0 - 31 MB | NPU
72
+ | GoogLeNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.182 ms | 0 - 35 MB | NPU
73
+ | GoogLeNet | ONNX | w8a8 | Snapdragon® X2 Elite | 0.17 ms | 7 - 7 MB | NPU
74
+ | GoogLeNet | ONNX | w8a8 | Snapdragon® X Elite | 0.41 ms | 7 - 7 MB | NPU
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+ | GoogLeNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.226 ms | 0 - 47 MB | NPU
76
+ | GoogLeNet | ONNX | w8a8 | Qualcomm® QCS6490 | 13.577 ms | 6 - 17 MB | CPU
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+ | GoogLeNet | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.299 ms | 0 - 113 MB | NPU
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+ | GoogLeNet | ONNX | w8a8 | Qualcomm® QCS9075 | 0.431 ms | 0 - 3 MB | NPU
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+ | GoogLeNet | ONNX | w8a8 | Qualcomm® QCM6690 | 9.366 ms | 7 - 15 MB | CPU
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+ | GoogLeNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.195 ms | 0 - 35 MB | NPU
81
+ | GoogLeNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 7.141 ms | 6 - 15 MB | CPU
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+ | GoogLeNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.379 ms | 1 - 32 MB | NPU
83
+ | GoogLeNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.528 ms | 1 - 1 MB | NPU
84
+ | GoogLeNet | QNN_DLC | float | Snapdragon® X Elite | 0.98 ms | 1 - 1 MB | NPU
85
+ | GoogLeNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.554 ms | 0 - 44 MB | NPU
86
+ | GoogLeNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 4.969 ms | 1 - 28 MB | NPU
87
+ | GoogLeNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.805 ms | 1 - 2 MB | NPU
88
+ | GoogLeNet | QNN_DLC | float | Qualcomm® SA8775P | 1.526 ms | 1 - 30 MB | NPU
89
+ | GoogLeNet | QNN_DLC | float | Qualcomm® QCS9075 | 1.535 ms | 3 - 5 MB | NPU
90
+ | GoogLeNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.757 ms | 0 - 45 MB | NPU
91
+ | GoogLeNet | QNN_DLC | float | Qualcomm® SA7255P | 4.969 ms | 1 - 28 MB | NPU
92
+ | GoogLeNet | QNN_DLC | float | Qualcomm® SA8295P | 1.788 ms | 1 - 26 MB | NPU
93
+ | GoogLeNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.451 ms | 0 - 27 MB | NPU
94
+ | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.137 ms | 0 - 31 MB | NPU
95
+ | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.238 ms | 0 - 0 MB | NPU
96
+ | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.358 ms | 0 - 0 MB | NPU
97
+ | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.188 ms | 0 - 42 MB | NPU
98
+ | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.055 ms | 0 - 2 MB | NPU
99
+ | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.806 ms | 0 - 28 MB | NPU
100
+ | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.236 ms | 0 - 2 MB | NPU
101
+ | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.416 ms | 0 - 29 MB | NPU
102
+ | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.331 ms | 0 - 2 MB | NPU
103
+ | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 2.248 ms | 0 - 28 MB | NPU
104
+ | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.411 ms | 0 - 44 MB | NPU
105
+ | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 0.806 ms | 0 - 28 MB | NPU
106
+ | GoogLeNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.643 ms | 0 - 25 MB | NPU
107
+ | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.151 ms | 0 - 31 MB | NPU
108
+ | GoogLeNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.334 ms | 0 - 29 MB | NPU
109
+ | GoogLeNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.383 ms | 0 - 37 MB | NPU
110
+ | GoogLeNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.549 ms | 0 - 55 MB | NPU
111
+ | GoogLeNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 5.005 ms | 0 - 34 MB | NPU
112
+ | GoogLeNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 0.811 ms | 0 - 1 MB | NPU
113
+ | GoogLeNet | TFLITE | float | Qualcomm® SA8775P | 1.538 ms | 0 - 37 MB | NPU
114
+ | GoogLeNet | TFLITE | float | Qualcomm® QCS9075 | 1.529 ms | 0 - 16 MB | NPU
115
+ | GoogLeNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.771 ms | 0 - 57 MB | NPU
116
+ | GoogLeNet | TFLITE | float | Qualcomm® SA7255P | 5.005 ms | 0 - 34 MB | NPU
117
+ | GoogLeNet | TFLITE | float | Qualcomm® SA8295P | 1.776 ms | 0 - 32 MB | NPU
118
+ | GoogLeNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.45 ms | 0 - 34 MB | NPU
119
+ | GoogLeNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.144 ms | 0 - 30 MB | NPU
120
+ | GoogLeNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.179 ms | 0 - 42 MB | NPU
121
+ | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS6490 | 0.891 ms | 0 - 8 MB | NPU
122
+ | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.849 ms | 0 - 27 MB | NPU
123
+ | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.246 ms | 0 - 1 MB | NPU
124
+ | GoogLeNet | TFLITE | w8a8 | Qualcomm® SA8775P | 1.527 ms | 0 - 27 MB | NPU
125
+ | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.354 ms | 0 - 9 MB | NPU
126
+ | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCM6690 | 2.236 ms | 0 - 28 MB | NPU
127
+ | GoogLeNet | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.419 ms | 0 - 42 MB | NPU
128
+ | GoogLeNet | TFLITE | w8a8 | Qualcomm® SA7255P | 0.849 ms | 0 - 27 MB | NPU
129
+ | GoogLeNet | TFLITE | w8a8 | Qualcomm® SA8295P | 0.645 ms | 0 - 25 MB | NPU
130
+ | GoogLeNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.153 ms | 0 - 26 MB | NPU
131
+ | GoogLeNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.329 ms | 0 - 28 MB | NPU
132
 
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  ## License
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  * The license for the original implementation of GoogLeNet can be found