| Upload Date | August 23 2024 08:53 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Odin |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2106118C |
| Model ID | Xiaomi 2106118C |
| Motherboard | odin |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Odin |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
436
81.0 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.2 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
1483
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5407
6.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
249
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
99% |
770
61.1 IPS |
|
|
Object Detection (Q)
|
2% |
8
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.92 IPS |
|
|
Face Detection (Q)
|
97% |
211
2.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
163
1.26 IPS |
|
|
Depth Estimation (HP)
|
100% |
72
0.55 IPS |
|
|
Depth Estimation (Q)
|
4% |
29
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
646
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
130
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2651
97.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.49 IPS |
|
|
Text Classification (SP)
|
100% |
2
2.76 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.3 IPS |
|
|
Text Classification (Q)
|
93% |
27
35.8 IPS |
|
|
Machine Translation (SP)
|
100% |
78
1.35 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.82 IPS |