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ResNet-Mixed-Convolution

Video Classification
PyTorch
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android
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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 +61 -61
README.md CHANGED
@@ -15,7 +15,7 @@ pipeline_tag: video-classification
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  ResNet Mixed Convolutions is a network with a mixture of 2D and 3D convolutions used for video understanding.
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  This is based on the implementation of ResNet-Mixed-Convolution found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.py).
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- 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/resnet_mixed) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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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.
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@@ -28,25 +28,25 @@ Below are pre-exported model assets ready for deployment.
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  | 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/v0.47.0/resnet_mixed-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/resnet_mixed/releases/v0.47.0/resnet_mixed-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/resnet_mixed/releases/v0.47.0/resnet_mixed-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/resnet_mixed/releases/v0.47.0/resnet_mixed-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/resnet_mixed/releases/v0.47.0/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/quic/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/quic/ai-hub-models/blob/main/qai_hub_models/models/resnet_mixed) for usage instructions.
50
 
51
  ## Model Details
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@@ -62,59 +62,59 @@ See our repository for [ResNet-Mixed-Convolution on GitHub](https://github.com/q
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  ## 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® X Elite | 13.83 ms | 22 - 22 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.602 ms | 2 - 276 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | float | Qualcomm® QCS8550 (Proxy) | 13.162 ms | 0 - 56 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | float | Qualcomm® QCS9075 | 26.529 ms | 2 - 5 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.818 ms | 0 - 215 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.558 ms | 2 - 221 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® X2 Elite | 7.095 ms | 22 - 22 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® X Elite | 9.075 ms | 11 - 11 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.385 ms | 1 - 257 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS6490 | 1728.003 ms | 47 - 64 MB | CPU
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- | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 8.508 ms | 0 - 18 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS9075 | 9.052 ms | 1 - 4 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCM6690 | 903.451 ms | 103 - 109 MB | CPU
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- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.215 ms | 1 - 192 MB | NPU
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- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 871.987 ms | 136 - 142 MB | CPU
80
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.512 ms | 0 - 191 MB | NPU
81
- | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® X2 Elite | 4.646 ms | 12 - 12 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® X Elite | 13.998 ms | 2 - 2 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 9.545 ms | 0 - 284 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 97.144 ms | 1 - 223 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 13.208 ms | 2 - 5 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA8775P | 25.07 ms | 1 - 223 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS9075 | 27.827 ms | 4 - 8 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 27.657 ms | 0 - 240 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA7255P | 97.144 ms | 1 - 223 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA8295P | 26.762 ms | 0 - 194 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.622 ms | 2 - 227 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.733 ms | 2 - 233 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® X2 Elite | 7.684 ms | 2 - 2 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® X Elite | 9.806 ms | 1 - 1 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.638 ms | 1 - 256 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 37.23 ms | 3 - 6 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 29.752 ms | 1 - 190 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 9.152 ms | 1 - 4 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® SA8775P | 9.413 ms | 1 - 191 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 10.394 ms | 1 - 4 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 183.549 ms | 1 - 209 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 13.258 ms | 1 - 253 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® SA7255P | 29.752 ms | 1 - 190 MB | NPU
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- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® SA8295P | 16.301 ms | 1 - 192 MB | NPU
105
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.263 ms | 1 - 189 MB | NPU
106
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 15.829 ms | 1 - 197 MB | NPU
107
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.008 ms | 1 - 189 MB | NPU
108
- | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 5.374 ms | 1 - 1 MB | NPU
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- | ResNet-Mixed-Convolution | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 216.262 ms | 0 - 314 MB | NPU
110
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 585.629 ms | 0 - 248 MB | NPU
111
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 309.699 ms | 0 - 3 MB | NPU
112
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® SA8775P | 293.466 ms | 0 - 249 MB | NPU
113
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 334.839 ms | 0 - 281 MB | NPU
114
- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® SA7255P | 585.629 ms | 0 - 248 MB | NPU
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- | ResNet-Mixed-Convolution | TFLITE | float | Qualcomm® SA8295P | 358.637 ms | 0 - 232 MB | NPU
116
- | ResNet-Mixed-Convolution | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 201.617 ms | 0 - 255 MB | NPU
117
- | ResNet-Mixed-Convolution | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 198.394 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/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
 
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
  ## 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
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+ | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.611 ms | 2 - 276 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | float | Qualcomm® QCS8550 (Proxy) | 13.288 ms | 0 - 29 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | float | Qualcomm® QCS9075 | 26.624 ms | 2 - 5 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.811 ms | 0 - 215 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.559 ms | 0 - 219 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® X2 Elite | 4.647 ms | 12 - 12 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® X Elite | 9.09 ms | 11 - 11 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.392 ms | 1 - 252 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS6490 | 1727.214 ms | 51 - 62 MB | CPU
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+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 8.515 ms | 1 - 5 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCS9075 | 9.054 ms | 1 - 4 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Qualcomm® QCM6690 | 890.657 ms | 107 - 114 MB | CPU
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+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.285 ms | 1 - 193 MB | NPU
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+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 874.466 ms | 112 - 120 MB | CPU
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+ | ResNet-Mixed-Convolution | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.516 ms | 0 - 190 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® X2 Elite | 7.652 ms | 2 - 2 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® X Elite | 13.982 ms | 2 - 2 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 9.56 ms | 0 - 284 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 97.146 ms | 1 - 223 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 13.22 ms | 2 - 34 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA8775P | 25.075 ms | 1 - 222 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS9075 | 27.603 ms | 2 - 6 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 27.484 ms | 2 - 244 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA7255P | 97.146 ms | 1 - 223 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Qualcomm® SA8295P | 26.782 ms | 0 - 194 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.629 ms | 0 - 225 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.732 ms | 2 - 233 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 5.359 ms | 1 - 1 MB | NPU
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+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Snapdragon® X Elite | 9.823 ms | 1 - 1 MB | NPU
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+ | 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
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+ | ResNet-Mixed-Convolution | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 29.75 ms | 1 - 190 MB | NPU
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+ | 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