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Sequencer2D

Image Classification
PyTorch
android
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v0.61.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.61.0 for changelog.

Files changed (2) hide show
  1. README.md +68 -68
  2. release_assets.json +5 -5
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  library_name: pytorch
3
- license: other
4
  tags:
5
  - android
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  pipeline_tag: image-classification
@@ -14,7 +14,7 @@ pipeline_tag: image-classification
14
  Sequencer2D is a vision transformer model that can classify images from the Imagenet dataset.
15
 
16
  This is based on the implementation of Sequencer2D found [here](https://github.com/okojoalg/sequencer).
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/v0.60.0/src/qai_hub_models/models/sequencer2d) 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
 
@@ -27,24 +27,24 @@ Below are pre-exported model assets ready for deployment.
27
 
28
  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
- | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-onnx-float.zip)
31
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-qnn_dlc-float.zip)
32
- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-tflite-float.zip)
33
- | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-tflite-w8a8.zip)
34
 
35
  For more device-specific assets and performance metrics, visit **[Sequencer2D on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sequencer2d)**.
36
 
37
 
38
  ### Option 2: Export with Custom Configurations
39
 
40
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/sequencer2d) Python library to compile and export the model with your own:
41
  - Custom weights (e.g., fine-tuned checkpoints)
42
  - Custom input shapes
43
  - Target device and runtime configurations
44
 
45
  This option is ideal if you need to customize the model beyond the default configuration provided here.
46
 
47
- See our repository for [Sequencer2D on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/sequencer2d) for usage instructions.
48
 
49
  ## Model Details
50
 
@@ -60,66 +60,66 @@ See our repository for [Sequencer2D on GitHub](https://github.com/qualcomm/ai-hu
60
  ## Performance Summary
61
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
62
  |---|---|---|---|---|---|---
63
- | Sequencer2D | ONNX | float | Snapdragon® X2 Elite | 9.833 ms | 2 - 2 MB | NPU
64
- | Sequencer2D | ONNX | float | Snapdragon® X Elite | 17.2 ms | 60 - 60 MB | NPU
65
- | Sequencer2D | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 10.864 ms | 0 - 954 MB | NPU
66
- | Sequencer2D | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 22.66 ms | 0 - 655 MB | NPU
67
- | Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 16.414 ms | 0 - 4 MB | NPU
68
- | Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.036 ms | 1 - 4 MB | NPU
69
- | Sequencer2D | ONNX | float | Qualcomm® QCS8450 | 22.66 ms | 0 - 655 MB | NPU
70
- | Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 22.723 ms | 1 - 4 MB | NPU
71
- | Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 17.2 ms | 60 - 60 MB | NPU
72
- | Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.634 ms | 0 - 736 MB | NPU
73
- | Sequencer2D | ONNX | float | Snapdragon® 8 Elite Mobile | 9.634 ms | 0 - 736 MB | NPU
74
- | Sequencer2D | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.05 ms | 0 - 892 MB | NPU
75
- | Sequencer2D | QNN_DLC | float | Snapdragon® X2 Elite | 11.815 ms | 1 - 1 MB | NPU
76
- | Sequencer2D | QNN_DLC | float | Snapdragon® X Elite | 21.605 ms | 1 - 1 MB | NPU
77
- | Sequencer2D | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 14.259 ms | 0 - 2197 MB | NPU
78
- | Sequencer2D | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 25.475 ms | 0 - 815 MB | NPU
79
- | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 21.122 ms | 1 - 4 MB | NPU
80
- | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 51.597 ms | 1 - 981 MB | NPU
81
- | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 20.139 ms | 1 - 3 MB | NPU
82
- | Sequencer2D | QNN_DLC | float | Qualcomm® SA8775P | 24.062 ms | 1 - 900 MB | NPU
83
- | Sequencer2D | QNN_DLC | float | Qualcomm® SA8650P | 24.062 ms | 1 - 900 MB | NPU
84
- | Sequencer2D | QNN_DLC | float | Qualcomm® SA8255P | 24.062 ms | 1 - 900 MB | NPU
85
- | Sequencer2D | QNN_DLC | float | Qualcomm® QCS8450 | 25.475 ms | 0 - 815 MB | NPU
86
- | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 23.998 ms | 1 - 3 MB | NPU
87
- | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 21.605 ms | 1 - 1 MB | NPU
88
- | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 12.251 ms | 1 - 1024 MB | NPU
89
- | Sequencer2D | QNN_DLC | float | Qualcomm® SA7255P | 51.597 ms | 1 - 981 MB | NPU
90
- | Sequencer2D | QNN_DLC | float | Qualcomm® SA8295P | 25.962 ms | 1 - 656 MB | NPU
91
- | Sequencer2D | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 12.251 ms | 1 - 1024 MB | NPU
92
- | Sequencer2D | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 9.549 ms | 0 - 1186 MB | NPU
93
- | Sequencer2D | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 11.882 ms | 0 - 977 MB | NPU
94
- | Sequencer2D | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 21.126 ms | 0 - 734 MB | NPU
95
- | Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 16.733 ms | 0 - 76 MB | NPU
96
- | Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 37.481 ms | 0 - 796 MB | NPU
97
- | Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 17.436 ms | 0 - 9 MB | NPU
98
- | Sequencer2D | TFLITE | float | Qualcomm® SA8775P | 19.071 ms | 0 - 795 MB | NPU
99
- | Sequencer2D | TFLITE | float | Qualcomm® SA8650P | 19.071 ms | 0 - 795 MB | NPU
100
- | Sequencer2D | TFLITE | float | Qualcomm® SA8255P | 19.071 ms | 0 - 795 MB | NPU
101
- | Sequencer2D | TFLITE | float | Qualcomm® QCS8450 | 21.126 ms | 0 - 734 MB | NPU
102
- | Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 18.534 ms | 0 - 75 MB | NPU
103
- | Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.424 ms | 0 - 784 MB | NPU
104
- | Sequencer2D | TFLITE | float | Qualcomm® SA7255P | 37.481 ms | 0 - 796 MB | NPU
105
- | Sequencer2D | TFLITE | float | Qualcomm® SA8295P | 20.559 ms | 0 - 485 MB | NPU
106
- | Sequencer2D | TFLITE | float | Snapdragon® 8 Elite Mobile | 9.424 ms | 0 - 784 MB | NPU
107
- | Sequencer2D | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.225 ms | 0 - 761 MB | NPU
108
- | Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 13.595 ms | 0 - 947 MB | NPU
109
- | Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 21.905 ms | 0 - 811 MB | NPU
110
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 18.078 ms | 0 - 64 MB | NPU
111
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 36.323 ms | 0 - 862 MB | NPU
112
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 18.834 ms | 0 - 10 MB | NPU
113
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8775P | 20.424 ms | 0 - 862 MB | NPU
114
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8650P | 20.424 ms | 0 - 862 MB | NPU
115
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8255P | 20.424 ms | 0 - 862 MB | NPU
116
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® QCS8450 | 21.905 ms | 0 - 811 MB | NPU
117
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 19.751 ms | 0 - 64 MB | NPU
118
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 10.902 ms | 0 - 802 MB | NPU
119
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® SA7255P | 36.323 ms | 0 - 862 MB | NPU
120
- | Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8295P | 22.914 ms | 0 - 616 MB | NPU
121
- | Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 10.902 ms | 0 - 802 MB | NPU
122
- | Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 9.088 ms | 0 - 823 MB | NPU
123
 
124
  ## License
125
  * The license for the original implementation of Sequencer2D can be found
 
1
  ---
2
  library_name: pytorch
3
+ license: apache-2.0
4
  tags:
5
  - android
6
  pipeline_tag: image-classification
 
14
  Sequencer2D is a vision transformer model that can classify images from the Imagenet dataset.
15
 
16
  This is based on the implementation of Sequencer2D found [here](https://github.com/okojoalg/sequencer).
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/v0.61.0/src/qai_hub_models/models/sequencer2d) 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 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.61.0/sequencer2d-onnx-float.zip)
31
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.61.0/sequencer2d-qnn_dlc-float.zip)
32
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.61.0/sequencer2d-tflite-float.zip)
33
+ | TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.61.0/sequencer2d-tflite-w8a8.zip)
34
 
35
  For more device-specific assets and performance metrics, visit **[Sequencer2D on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sequencer2d)**.
36
 
37
 
38
  ### Option 2: Export with Custom Configurations
39
 
40
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/sequencer2d) Python library to compile and export the model with your own:
41
  - Custom weights (e.g., fine-tuned checkpoints)
42
  - Custom input shapes
43
  - Target device and runtime configurations
44
 
45
  This option is ideal if you need to customize the model beyond the default configuration provided here.
46
 
47
+ See our repository for [Sequencer2D on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/sequencer2d) for usage instructions.
48
 
49
  ## Model Details
50
 
 
60
  ## Performance Summary
61
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
62
  |---|---|---|---|---|---|---
63
+ | Sequencer2D | ONNX | float | Snapdragon® X2 Elite | 10.77 ms | 2 - 2 MB | NPU
64
+ | Sequencer2D | ONNX | float | Snapdragon® X Elite | 17.025 ms | 60 - 60 MB | NPU
65
+ | Sequencer2D | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 10.845 ms | 0 - 957 MB | NPU
66
+ | Sequencer2D | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 22.488 ms | 1 - 656 MB | NPU
67
+ | Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 16.445 ms | 0 - 4 MB | NPU
68
+ | Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.068 ms | 1 - 5 MB | NPU
69
+ | Sequencer2D | ONNX | float | Qualcomm® QCS8450 | 22.488 ms | 1 - 656 MB | NPU
70
+ | Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 18.991 ms | 1 - 4 MB | NPU
71
+ | Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 17.025 ms | 60 - 60 MB | NPU
72
+ | Sequencer2D | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.582 ms | 1 - 737 MB | NPU
73
+ | Sequencer2D | ONNX | float | Snapdragon® 8 Elite Mobile | 9.582 ms | 1 - 737 MB | NPU
74
+ | Sequencer2D | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.06 ms | 0 - 889 MB | NPU
75
+ | Sequencer2D | QNN_DLC | float | Snapdragon® X2 Elite | 11.853 ms | 1 - 1 MB | NPU
76
+ | Sequencer2D | QNN_DLC | float | Snapdragon® X Elite | 21.576 ms | 1 - 1 MB | NPU
77
+ | Sequencer2D | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 14.197 ms | 0 - 2197 MB | NPU
78
+ | Sequencer2D | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 25.604 ms | 0 - 818 MB | NPU
79
+ | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 21.03 ms | 1 - 4 MB | NPU
80
+ | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 51.755 ms | 1 - 981 MB | NPU
81
+ | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 20.711 ms | 1 - 3 MB | NPU
82
+ | Sequencer2D | QNN_DLC | float | Qualcomm® SA8775P | 24.047 ms | 1 - 900 MB | NPU
83
+ | Sequencer2D | QNN_DLC | float | Qualcomm® SA8650P | 24.047 ms | 1 - 900 MB | NPU
84
+ | Sequencer2D | QNN_DLC | float | Qualcomm® SA8255P | 24.047 ms | 1 - 900 MB | NPU
85
+ | Sequencer2D | QNN_DLC | float | Qualcomm® QCS8450 | 25.604 ms | 0 - 818 MB | NPU
86
+ | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 23.887 ms | 1 - 3 MB | NPU
87
+ | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 21.576 ms | 1 - 1 MB | NPU
88
+ | Sequencer2D | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 12.144 ms | 1 - 1025 MB | NPU
89
+ | Sequencer2D | QNN_DLC | float | Qualcomm® SA7255P | 51.755 ms | 1 - 981 MB | NPU
90
+ | Sequencer2D | QNN_DLC | float | Qualcomm® SA8295P | 25.937 ms | 1 - 656 MB | NPU
91
+ | Sequencer2D | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 12.144 ms | 1 - 1025 MB | NPU
92
+ | Sequencer2D | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 9.558 ms | 0 - 1188 MB | NPU
93
+ | Sequencer2D | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 11.91 ms | 0 - 979 MB | NPU
94
+ | Sequencer2D | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 21.277 ms | 0 - 732 MB | NPU
95
+ | Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 17.148 ms | 0 - 76 MB | NPU
96
+ | Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 37.304 ms | 0 - 796 MB | NPU
97
+ | Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.892 ms | 0 - 3 MB | NPU
98
+ | Sequencer2D | TFLITE | float | Qualcomm® SA8775P | 19.072 ms | 0 - 795 MB | NPU
99
+ | Sequencer2D | TFLITE | float | Qualcomm® SA8650P | 19.072 ms | 0 - 795 MB | NPU
100
+ | Sequencer2D | TFLITE | float | Qualcomm® SA8255P | 19.072 ms | 0 - 795 MB | NPU
101
+ | Sequencer2D | TFLITE | float | Qualcomm® QCS8450 | 21.277 ms | 0 - 732 MB | NPU
102
+ | Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 18.512 ms | 0 - 75 MB | NPU
103
+ | Sequencer2D | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.377 ms | 0 - 795 MB | NPU
104
+ | Sequencer2D | TFLITE | float | Qualcomm® SA7255P | 37.304 ms | 0 - 796 MB | NPU
105
+ | Sequencer2D | TFLITE | float | Qualcomm® SA8295P | 20.518 ms | 0 - 485 MB | NPU
106
+ | Sequencer2D | TFLITE | float | Snapdragon® 8 Elite Mobile | 9.377 ms | 0 - 795 MB | NPU
107
+ | Sequencer2D | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.246 ms | 0 - 761 MB | NPU
108
+ | Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 13.514 ms | 0 - 947 MB | NPU
109
+ | Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 21.874 ms | 0 - 811 MB | NPU
110
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 17.839 ms | 0 - 64 MB | NPU
111
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 36.307 ms | 0 - 862 MB | NPU
112
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 19.235 ms | 0 - 10 MB | NPU
113
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8775P | 20.39 ms | 0 - 862 MB | NPU
114
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8650P | 20.39 ms | 0 - 862 MB | NPU
115
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8255P | 20.39 ms | 0 - 862 MB | NPU
116
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® QCS8450 | 21.874 ms | 0 - 811 MB | NPU
117
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 19.715 ms | 0 - 64 MB | NPU
118
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 10.992 ms | 0 - 791 MB | NPU
119
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® SA7255P | 36.307 ms | 0 - 862 MB | NPU
120
+ | Sequencer2D | TFLITE | w8a8 | Qualcomm® SA8295P | 22.924 ms | 0 - 616 MB | NPU
121
+ | Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 10.992 ms | 0 - 791 MB | NPU
122
+ | Sequencer2D | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 9.068 ms | 0 - 823 MB | NPU
123
 
124
  ## License
125
  * The license for the original implementation of Sequencer2D can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "version": "0.60.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
@@ -8,19 +8,19 @@
8
  "qairt": "2.45.0.260326154327",
9
  "onnx_runtime": "1.27.1"
10
  },
11
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
  "qairt": "2.45.0.260326154327"
16
  },
17
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
21
  "qairt": "2.45.0.260326154327"
22
  },
23
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-tflite-float.zip"
24
  }
25
  }
26
  },
@@ -30,7 +30,7 @@
30
  "tool_versions": {
31
  "qairt": "2.45.0.260326154327"
32
  },
33
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.60.0/sequencer2d-tflite-w8a8.zip"
34
  }
35
  }
36
  }
 
1
  {
2
+ "version": "0.61.0",
3
  "precisions": {
4
  "float": {
5
  "universal_assets": {
 
8
  "qairt": "2.45.0.260326154327",
9
  "onnx_runtime": "1.27.1"
10
  },
11
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.61.0/sequencer2d-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
14
  "tool_versions": {
15
  "qairt": "2.45.0.260326154327"
16
  },
17
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.61.0/sequencer2d-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
21
  "qairt": "2.45.0.260326154327"
22
  },
23
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.61.0/sequencer2d-tflite-float.zip"
24
  }
25
  }
26
  },
 
30
  "tool_versions": {
31
  "qairt": "2.45.0.260326154327"
32
  },
33
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sequencer2d/releases/v0.61.0/sequencer2d-tflite-w8a8.zip"
34
  }
35
  }
36
  }