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ResNet18

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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 +76 -76
README.md CHANGED
@@ -16,7 +16,7 @@ pipeline_tag: image-classification
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  ResNet18 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.
17
 
18
  This is based on the implementation of ResNet18 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py).
19
- 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/resnet18) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  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.
22
 
@@ -29,26 +29,26 @@ Below are pre-exported model assets ready for deployment.
29
 
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  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
- | 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/resnet18/releases/v0.48.0/resnet18-onnx-float.zip)
33
- | 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/resnet18/releases/v0.48.0/resnet18-onnx-w8a8.zip)
34
- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.48.0/resnet18-qnn_dlc-float.zip)
35
- | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.48.0/resnet18-qnn_dlc-w8a8.zip)
36
- | 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/resnet18/releases/v0.48.0/resnet18-tflite-float.zip)
37
- | 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/resnet18/releases/v0.48.0/resnet18-tflite-w8a8.zip)
38
 
39
  For more device-specific assets and performance metrics, visit **[ResNet18 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet18)**.
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/resnet18) 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 [ResNet18 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/resnet18) for usage instructions.
52
 
53
  ## Model Details
54
 
@@ -64,73 +64,73 @@ See our repository for [ResNet18 on GitHub](https://github.com/qualcomm/ai-hub-m
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  ## Performance Summary
65
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
66
  |---|---|---|---|---|---|---
67
- | ResNet18 | ONNX | float | Snapdragon® X2 Elite | 0.513 ms | 23 - 23 MB | NPU
68
- | ResNet18 | ONNX | float | Snapdragon® X Elite | 1.179 ms | 22 - 22 MB | NPU
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- | ResNet18 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.778 ms | 0 - 35 MB | NPU
70
- | ResNet18 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.066 ms | 0 - 40 MB | NPU
71
- | ResNet18 | ONNX | float | Qualcomm® QCS9075 | 1.806 ms | 1 - 3 MB | NPU
72
- | ResNet18 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.63 ms | 0 - 20 MB | NPU
73
- | ResNet18 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.556 ms | 1 - 26 MB | NPU
74
- | ResNet18 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.266 ms | 11 - 11 MB | NPU
75
- | ResNet18 | ONNX | w8a8 | Snapdragon® X Elite | 0.627 ms | 11 - 11 MB | NPU
76
- | ResNet18 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.415 ms | 0 - 48 MB | NPU
77
- | ResNet18 | ONNX | w8a8 | Qualcomm® QCS6490 | 13.609 ms | 7 - 23 MB | CPU
78
- | ResNet18 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.663 ms | 0 - 32 MB | NPU
79
- | ResNet18 | ONNX | w8a8 | Qualcomm® QCS9075 | 0.669 ms | 0 - 3 MB | NPU
80
- | ResNet18 | ONNX | w8a8 | Qualcomm® QCM6690 | 11.322 ms | 6 - 13 MB | CPU
81
- | ResNet18 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.367 ms | 0 - 27 MB | NPU
82
- | ResNet18 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 8.668 ms | 8 - 15 MB | CPU
83
- | ResNet18 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.342 ms | 0 - 26 MB | NPU
84
- | ResNet18 | QNN_DLC | float | Snapdragon® X2 Elite | 0.694 ms | 1 - 1 MB | NPU
85
- | ResNet18 | QNN_DLC | float | Snapdragon® X Elite | 1.468 ms | 1 - 1 MB | NPU
86
- | ResNet18 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.911 ms | 0 - 35 MB | NPU
87
- | ResNet18 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 5.782 ms | 1 - 24 MB | NPU
88
- | ResNet18 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.328 ms | 1 - 37 MB | NPU
89
- | ResNet18 | QNN_DLC | float | Qualcomm® SA8775P | 1.947 ms | 1 - 27 MB | NPU
90
- | ResNet18 | QNN_DLC | float | Qualcomm® QCS9075 | 2.064 ms | 1 - 3 MB | NPU
91
- | ResNet18 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 2.431 ms | 0 - 37 MB | NPU
92
- | ResNet18 | QNN_DLC | float | Qualcomm® SA7255P | 5.782 ms | 1 - 24 MB | NPU
93
- | ResNet18 | QNN_DLC | float | Qualcomm® SA8295P | 2.308 ms | 0 - 19 MB | NPU
94
- | ResNet18 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.7 ms | 0 - 23 MB | NPU
95
- | ResNet18 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.586 ms | 1 - 28 MB | NPU
96
- | ResNet18 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.311 ms | 0 - 0 MB | NPU
97
- | ResNet18 | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.617 ms | 0 - 0 MB | NPU
98
- | ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.391 ms | 0 - 47 MB | NPU
99
- | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.802 ms | 2 - 4 MB | NPU
100
- | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.269 ms | 0 - 23 MB | NPU
101
- | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.524 ms | 0 - 2 MB | NPU
102
- | ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 2.697 ms | 0 - 23 MB | NPU
103
- | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.642 ms | 2 - 4 MB | NPU
104
- | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 3.234 ms | 0 - 31 MB | NPU
105
- | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.745 ms | 0 - 49 MB | NPU
106
- | ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.269 ms | 0 - 23 MB | NPU
107
- | ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.907 ms | 0 - 21 MB | NPU
108
- | ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.304 ms | 0 - 26 MB | NPU
109
- | ResNet18 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.682 ms | 0 - 31 MB | NPU
110
- | ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.264 ms | 0 - 26 MB | NPU
111
- | ResNet18 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.92 ms | 0 - 64 MB | NPU
112
- | ResNet18 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 5.745 ms | 0 - 28 MB | NPU
113
- | ResNet18 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.342 ms | 0 - 2 MB | NPU
114
- | ResNet18 | TFLITE | float | Qualcomm® SA8775P | 1.944 ms | 0 - 30 MB | NPU
115
- | ResNet18 | TFLITE | float | Qualcomm® QCS9075 | 2.033 ms | 0 - 25 MB | NPU
116
- | ResNet18 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 2.467 ms | 0 - 61 MB | NPU
117
- | ResNet18 | TFLITE | float | Qualcomm® SA7255P | 5.745 ms | 0 - 28 MB | NPU
118
- | ResNet18 | TFLITE | float | Qualcomm® SA8295P | 2.3 ms | 0 - 22 MB | NPU
119
- | ResNet18 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.705 ms | 0 - 26 MB | NPU
120
- | ResNet18 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.589 ms | 0 - 30 MB | NPU
121
- | ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.283 ms | 0 - 46 MB | NPU
122
- | ResNet18 | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.527 ms | 0 - 13 MB | NPU
123
- | ResNet18 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.019 ms | 0 - 23 MB | NPU
124
- | ResNet18 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.385 ms | 0 - 2 MB | NPU
125
- | ResNet18 | TFLITE | w8a8 | Qualcomm® SA8775P | 0.573 ms | 0 - 25 MB | NPU
126
- | ResNet18 | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.508 ms | 0 - 13 MB | NPU
127
- | ResNet18 | TFLITE | w8a8 | Qualcomm® QCM6690 | 2.781 ms | 0 - 31 MB | NPU
128
- | ResNet18 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.599 ms | 0 - 48 MB | NPU
129
- | ResNet18 | TFLITE | w8a8 | Qualcomm® SA7255P | 1.019 ms | 0 - 23 MB | NPU
130
- | ResNet18 | TFLITE | w8a8 | Qualcomm® SA8295P | 0.747 ms | 0 - 21 MB | NPU
131
- | ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.241 ms | 0 - 25 MB | NPU
132
- | ResNet18 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.548 ms | 0 - 30 MB | NPU
133
- | ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.22 ms | 0 - 26 MB | NPU
134
 
135
  ## License
136
  * The license for the original implementation of ResNet18 can be found
 
16
  ResNet18 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.
17
 
18
  This is based on the implementation of ResNet18 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py).
19
+ 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/resnet18) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  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.
22
 
 
29
 
30
  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
+ | 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/resnet18/releases/v0.49.1/resnet18-onnx-float.zip)
33
+ | 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/resnet18/releases/v0.49.1/resnet18-onnx-w8a8.zip)
34
+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.49.1/resnet18-qnn_dlc-float.zip)
35
+ | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet18/releases/v0.49.1/resnet18-qnn_dlc-w8a8.zip)
36
+ | 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/resnet18/releases/v0.49.1/resnet18-tflite-float.zip)
37
+ | 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/resnet18/releases/v0.49.1/resnet18-tflite-w8a8.zip)
38
 
39
  For more device-specific assets and performance metrics, visit **[ResNet18 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet18)**.
40
 
41
 
42
  ### Option 2: Export with Custom Configurations
43
 
44
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/resnet18) 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 [ResNet18 on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/resnet18) 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
+ | ResNet18 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.556 ms | 0 - 25 MB | NPU
68
+ | ResNet18 | ONNX | float | Snapdragon® X2 Elite | 0.517 ms | 23 - 23 MB | NPU
69
+ | ResNet18 | ONNX | float | Snapdragon® X Elite | 1.165 ms | 22 - 22 MB | NPU
70
+ | ResNet18 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.778 ms | 0 - 39 MB | NPU
71
+ | ResNet18 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.065 ms | 0 - 25 MB | NPU
72
+ | ResNet18 | ONNX | float | Qualcomm® QCS9075 | 1.799 ms | 1 - 3 MB | NPU
73
+ | ResNet18 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.628 ms | 0 - 20 MB | NPU
74
+ | ResNet18 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.347 ms | 0 - 26 MB | NPU
75
+ | ResNet18 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.33 ms | 11 - 11 MB | NPU
76
+ | ResNet18 | ONNX | w8a8 | Snapdragon® X Elite | 0.659 ms | 11 - 11 MB | NPU
77
+ | ResNet18 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.414 ms | 0 - 49 MB | NPU
78
+ | ResNet18 | ONNX | w8a8 | Qualcomm® QCS6490 | 13.69 ms | 7 - 23 MB | CPU
79
+ | ResNet18 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.556 ms | 0 - 9 MB | NPU
80
+ | ResNet18 | ONNX | w8a8 | Qualcomm® QCS9075 | 0.654 ms | 0 - 3 MB | NPU
81
+ | ResNet18 | ONNX | w8a8 | Qualcomm® QCM6690 | 11.308 ms | 6 - 13 MB | CPU
82
+ | ResNet18 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.366 ms | 0 - 27 MB | NPU
83
+ | ResNet18 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 8.702 ms | 8 - 15 MB | CPU
84
+ | ResNet18 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.589 ms | 1 - 27 MB | NPU
85
+ | ResNet18 | QNN_DLC | float | Snapdragon® X2 Elite | 0.679 ms | 1 - 1 MB | NPU
86
+ | ResNet18 | QNN_DLC | float | Snapdragon® X Elite | 1.448 ms | 1 - 1 MB | NPU
87
+ | ResNet18 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.91 ms | 0 - 35 MB | NPU
88
+ | ResNet18 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 5.827 ms | 1 - 24 MB | NPU
89
+ | ResNet18 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.33 ms | 1 - 114 MB | NPU
90
+ | ResNet18 | QNN_DLC | float | Qualcomm® SA8775P | 1.98 ms | 1 - 27 MB | NPU
91
+ | ResNet18 | QNN_DLC | float | Qualcomm® QCS9075 | 2.06 ms | 1 - 3 MB | NPU
92
+ | ResNet18 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 2.441 ms | 0 - 37 MB | NPU
93
+ | ResNet18 | QNN_DLC | float | Qualcomm® SA7255P | 5.827 ms | 1 - 24 MB | NPU
94
+ | ResNet18 | QNN_DLC | float | Qualcomm® SA8295P | 2.316 ms | 0 - 19 MB | NPU
95
+ | ResNet18 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.698 ms | 0 - 23 MB | NPU
96
+ | ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.263 ms | 0 - 25 MB | NPU
97
+ | ResNet18 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.308 ms | 0 - 0 MB | NPU
98
+ | ResNet18 | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.621 ms | 0 - 0 MB | NPU
99
+ | ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.388 ms | 0 - 47 MB | NPU
100
+ | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.814 ms | 2 - 4 MB | NPU
101
+ | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.272 ms | 0 - 23 MB | NPU
102
+ | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.525 ms | 0 - 2 MB | NPU
103
+ | ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.702 ms | 0 - 25 MB | NPU
104
+ | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.623 ms | 0 - 2 MB | NPU
105
+ | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 3.226 ms | 0 - 31 MB | NPU
106
+ | ResNet18 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.744 ms | 0 - 49 MB | NPU
107
+ | ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.272 ms | 0 - 23 MB | NPU
108
+ | ResNet18 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.915 ms | 0 - 21 MB | NPU
109
+ | ResNet18 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.29 ms | 0 - 22 MB | NPU
110
+ | ResNet18 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.684 ms | 0 - 31 MB | NPU
111
+ | ResNet18 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.588 ms | 0 - 31 MB | NPU
112
+ | ResNet18 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.915 ms | 0 - 62 MB | NPU
113
+ | ResNet18 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 5.722 ms | 0 - 27 MB | NPU
114
+ | ResNet18 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.34 ms | 0 - 93 MB | NPU
115
+ | ResNet18 | TFLITE | float | Qualcomm® SA8775P | 1.948 ms | 0 - 30 MB | NPU
116
+ | ResNet18 | TFLITE | float | Qualcomm® QCS9075 | 2.037 ms | 0 - 25 MB | NPU
117
+ | ResNet18 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 2.468 ms | 0 - 63 MB | NPU
118
+ | ResNet18 | TFLITE | float | Qualcomm® SA7255P | 5.722 ms | 0 - 27 MB | NPU
119
+ | ResNet18 | TFLITE | float | Qualcomm® SA8295P | 2.273 ms | 0 - 22 MB | NPU
120
+ | ResNet18 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.707 ms | 0 - 26 MB | NPU
121
+ | ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.228 ms | 0 - 26 MB | NPU
122
+ | ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.289 ms | 0 - 47 MB | NPU
123
+ | ResNet18 | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.536 ms | 0 - 13 MB | NPU
124
+ | ResNet18 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.01 ms | 0 - 23 MB | NPU
125
+ | ResNet18 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.385 ms | 0 - 1 MB | NPU
126
+ | ResNet18 | TFLITE | w8a8 | Qualcomm® SA8775P | 2.032 ms | 0 - 24 MB | NPU
127
+ | ResNet18 | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.478 ms | 0 - 13 MB | NPU
128
+ | ResNet18 | TFLITE | w8a8 | Qualcomm® QCM6690 | 2.803 ms | 0 - 31 MB | NPU
129
+ | ResNet18 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.599 ms | 0 - 49 MB | NPU
130
+ | ResNet18 | TFLITE | w8a8 | Qualcomm® SA7255P | 1.01 ms | 0 - 23 MB | NPU
131
+ | ResNet18 | TFLITE | w8a8 | Qualcomm® SA8295P | 0.752 ms | 0 - 20 MB | NPU
132
+ | ResNet18 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.24 ms | 0 - 26 MB | NPU
133
+ | ResNet18 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.55 ms | 0 - 30 MB | NPU
134
 
135
  ## License
136
  * The license for the original implementation of ResNet18 can be found