Hugging Face's logo

qualcomm
/
ResNet-Mixed-Convolution

Video Classification
PyTorch
backbone
android
Model card Files
xet
 Community
1
qaihm-bot commited on
Commit
843db3a
·
verified ·
1 Parent(s): 529bc4a

v0.49.1

Browse files

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

Files changed (1) hide show
  1. README.md +61 -61
README.md CHANGED
@@ -15,7 +15,7 @@ pipeline_tag: video-classification
15
  ResNet Mixed Convolutions is a network with a mixture of 2D and 3D convolutions used for video understanding.
16
 
17
  This is based on the implementation of ResNet-Mixed-Convolution found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.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/resnet_mixed) 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.
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/resnet_mixed/releases/v0.48.0/resnet_mixed-onnx-float.zip)
32
- | 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/resnet_mixed/releases/v0.48.0/resnet_mixed-onnx-w8a16.zip)
33
- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_mixed/releases/v0.48.0/resnet_mixed-qnn_dlc-float.zip)
34
- | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_mixed/releases/v0.48.0/resnet_mixed-qnn_dlc-w8a16.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/resnet_mixed/releases/v0.48.0/resnet_mixed-tflite-float.zip)
36
 
37
  For more device-specific assets and performance metrics, visit **[ResNet-Mixed-Convolution on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet_mixed)**.
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/resnet_mixed) 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 [ResNet-Mixed-Convolution on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/resnet_mixed) for usage instructions.
50
 
51
  ## Model Details
52
 
@@ -62,59 +62,59 @@ See our repository for [ResNet-Mixed-Convolution on GitHub](https://github.com/q
62
  ## Performance Summary
63
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
64
  |---|---|---|---|---|---|---
65
- | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® X2 Elite | 7.099 ms | 22 - 22 MB | NPU
66
- | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® X Elite | 13.823 ms | 22 - 22 MB | NPU
67
- | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.611 ms | 2 - 276 MB | NPU
68
- | ResNet-Mixed-Convolution | ONNX | float | Qualcomm® QCS8550 (Proxy) | 13.288 ms | 0 - 29 MB | NPU
69
- | ResNet-Mixed-Convolution | ONNX | float | Qualcomm® QCS9075 | 26.624 ms | 2 - 5 MB | NPU
70
- | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.811 ms | 0 - 215 MB | NPU
71
- | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.559 ms | 0 - 219 MB | NPU
72
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® X2 Elite | 4.647 ms | 12 - 12 MB | NPU
73
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® X Elite | 9.09 ms | 11 - 11 MB | NPU
74
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.392 ms | 1 - 252 MB | NPU
75
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS6490 | 1727.214 ms | 51 - 62 MB | CPU
76
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 8.515 ms | 1 - 5 MB | NPU
77
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS9075 | 9.054 ms | 1 - 4 MB | NPU
78
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCM6690 | 890.657 ms | 107 - 114 MB | CPU
79
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.285 ms | 1 - 193 MB | NPU
80
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 874.466 ms | 112 - 120 MB | CPU
81
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.516 ms | 0 - 190 MB | NPU
82
- | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® X2 Elite | 7.652 ms | 2 - 2 MB | NPU
83
- | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® X Elite | 13.982 ms | 2 - 2 MB | NPU
84
- | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 9.56 ms | 0 - 284 MB | NPU
85
- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 97.146 ms | 1 - 223 MB | NPU
86
- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 13.22 ms | 2 - 34 MB | NPU
87
- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA8775P | 25.075 ms | 1 - 222 MB | NPU
88
- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS9075 | 27.603 ms | 2 - 6 MB | NPU
89
- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 27.484 ms | 2 - 244 MB | NPU
90
- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA7255P | 97.146 ms | 1 - 223 MB | NPU
91
- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA8295P | 26.782 ms | 0 - 194 MB | NPU
92
- | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.629 ms | 0 - 225 MB | NPU
93
- | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.732 ms | 2 - 233 MB | NPU
94
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 5.359 ms | 1 - 1 MB | NPU
95
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® X Elite | 9.823 ms | 1 - 1 MB | NPU
96
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.624 ms | 1 - 254 MB | NPU
97
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 37.274 ms | 0 - 3 MB | NPU
98
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 29.75 ms | 1 - 190 MB | NPU
99
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 9.172 ms | 1 - 3 MB | NPU
100
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® SA8775P | 9.393 ms | 1 - 191 MB | NPU
101
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 10.391 ms | 1 - 4 MB | NPU
102
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 182.729 ms | 1 - 208 MB | NPU
103
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 14.0 ms | 1 - 255 MB | NPU
104
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® SA7255P | 29.75 ms | 1 - 190 MB | NPU
105
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® SA8295P | 16.32 ms | 1 - 192 MB | NPU
106
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.267 ms | 1 - 187 MB | NPU
107
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 15.899 ms | 1 - 197 MB | NPU
108
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.005 ms | 7 - 195 MB | NPU
109
- | ResNet-Mixed-Convolution | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 217.382 ms | 0 - 312 MB | NPU
110
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 584.652 ms | 0 - 249 MB | NPU
111
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 304.587 ms | 0 - 2 MB | NPU
112
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® SA8775P | 294.794 ms | 0 - 249 MB | NPU
113
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 339.962 ms | 0 - 278 MB | NPU
114
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® SA7255P | 584.652 ms | 0 - 249 MB | NPU
115
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® SA8295P | 363.01 ms | 0 - 232 MB | NPU
116
- | ResNet-Mixed-Convolution | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 201.863 ms | 0 - 246 MB | NPU
117
- | ResNet-Mixed-Convolution | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 198.096 ms | 0 - 251 MB | NPU
118
 
119
  ## License
120
  * The license for the original implementation of ResNet-Mixed-Convolution can be found
 
15
  ResNet Mixed Convolutions is a network with a mixture of 2D and 3D convolutions used for video understanding.
16
 
17
  This is based on the implementation of ResNet-Mixed-Convolution found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.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/tree/v0.49.1/qai_hub_models/models/resnet_mixed) 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/resnet_mixed/releases/v0.49.1/resnet_mixed-onnx-float.zip)
32
+ | 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/resnet_mixed/releases/v0.49.1/resnet_mixed-onnx-w8a16.zip)
33
+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_mixed/releases/v0.49.1/resnet_mixed-qnn_dlc-float.zip)
34
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/resnet_mixed/releases/v0.49.1/resnet_mixed-qnn_dlc-w8a16.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/resnet_mixed/releases/v0.49.1/resnet_mixed-tflite-float.zip)
36
 
37
  For more device-specific assets and performance metrics, visit **[ResNet-Mixed-Convolution on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/resnet_mixed)**.
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/resnet_mixed) 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 [ResNet-Mixed-Convolution on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/resnet_mixed) 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
+ | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.557 ms | 2 - 220 MB | NPU
66
+ | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® X2 Elite | 7.104 ms | 22 - 22 MB | NPU
67
+ | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® X Elite | 13.826 ms | 22 - 22 MB | NPU
68
+ | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.597 ms | 2 - 267 MB | NPU
69
+ | ResNet-Mixed-Convolution | ONNX | float | Qualcomm® QCS8550 (Proxy) | 13.313 ms | 0 - 28 MB | NPU
70
+ | ResNet-Mixed-Convolution | ONNX | float | Qualcomm® QCS9075 | 26.335 ms | 2 - 5 MB | NPU
71
+ | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.83 ms | 1 - 217 MB | NPU
72
+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.513 ms | 0 - 191 MB | NPU
73
+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® X2 Elite | 4.644 ms | 12 - 12 MB | NPU
74
+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® X Elite | 9.059 ms | 11 - 11 MB | NPU
75
+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.387 ms | 1 - 257 MB | NPU
76
+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS6490 | 1736.807 ms | 51 - 61 MB | CPU
77
+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 8.506 ms | 1 - 5 MB | NPU
78
+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS9075 | 9.041 ms | 1 - 4 MB | NPU
79
+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCM6690 | 892.043 ms | 105 - 112 MB | CPU
80
+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.231 ms | 1 - 193 MB | NPU
81
+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 872.531 ms | 112 - 119 MB | CPU
82
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.738 ms | 2 - 233 MB | NPU
83
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® X2 Elite | 7.615 ms | 2 - 2 MB | NPU
84
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® X Elite | 13.988 ms | 2 - 2 MB | NPU
85
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 9.558 ms | 0 - 285 MB | NPU
86
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 97.148 ms | 1 - 224 MB | NPU
87
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 13.187 ms | 2 - 4 MB | NPU
88
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA8775P | 115.885 ms | 1 - 223 MB | NPU
89
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS9075 | 27.497 ms | 2 - 6 MB | NPU
90
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 27.578 ms | 0 - 244 MB | NPU
91
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA7255P | 97.148 ms | 1 - 224 MB | NPU
92
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA8295P | 26.783 ms | 0 - 194 MB | NPU
93
+ | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.641 ms | 2 - 227 MB | NPU
94
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.009 ms | 0 - 187 MB | NPU
95
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 5.38 ms | 1 - 1 MB | NPU
96
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® X Elite | 9.832 ms | 1 - 1 MB | NPU
97
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.636 ms | 1 - 257 MB | NPU
98
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 37.476 ms | 1 - 4 MB | NPU
99
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 29.739 ms | 1 - 190 MB | NPU
100
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 9.17 ms | 1 - 185 MB | NPU
101
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® SA8775P | 9.399 ms | 1 - 191 MB | NPU
102
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 10.395 ms | 3 - 6 MB | NPU
103
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 184.761 ms | 1 - 208 MB | NPU
104
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 14.18 ms | 1 - 256 MB | NPU
105
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® SA7255P | 29.739 ms | 1 - 190 MB | NPU
106
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® SA8295P | 16.314 ms | 1 - 192 MB | NPU
107
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.265 ms | 1 - 187 MB | NPU
108
+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 15.773 ms | 1 - 197 MB | NPU
109
+ | ResNet-Mixed-Convolution | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 198.433 ms | 0 - 251 MB | NPU
110
+ | ResNet-Mixed-Convolution | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 220.315 ms | 0 - 313 MB | NPU
111
+ | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 585.071 ms | 0 - 249 MB | NPU
112
+ | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 309.507 ms | 0 - 3 MB | NPU
113
+ | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® SA8775P | 298.104 ms | 0 - 249 MB | NPU
114
+ | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 336.74 ms | 0 - 280 MB | NPU
115
+ | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® SA7255P | 585.071 ms | 0 - 249 MB | NPU
116
+ | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® SA8295P | 362.965 ms | 0 - 232 MB | NPU
117
+ | ResNet-Mixed-Convolution | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 203.914 ms | 0 - 246 MB | NPU
118
 
119
  ## License
120
  * The license for the original implementation of ResNet-Mixed-Convolution can be found