Upload Date | November 17 2024 10:26 PM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | ARM Unisoc |
System Information | |
---|---|
Operating System | Android 13 |
Model | INFINIX Infinix X6528B |
Model ID | INFINIX Infinix X6528B |
Motherboard | Infinix-X6528B |
Governor | schedutil |
CPU Information | |
---|---|
Name | ARM Unisoc |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
Base Frequency | 1.61 GHz |
Cluster 1 | 8 Cores @ 1.61 GHz |
Memory Information | |
---|---|
Size | 7.59 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
69
12.8 IPS |
|
Image Classification (HP)
|
100% |
70
13.1 IPS |
|
Image Classification (Q)
|
99% |
106
19.8 IPS |
|
Image Segmentation (SP)
|
100% |
103
1.66 IPS |
|
Image Segmentation (HP)
|
100% |
103
1.66 IPS |
|
Image Segmentation (Q)
|
98% |
141
2.29 IPS |
|
Pose Estimation (SP)
|
100% |
466
0.54 IPS |
|
Pose Estimation (HP)
|
100% |
465
0.54 IPS |
|
Pose Estimation (Q)
|
96% |
428
0.50 IPS |
|
Object Detection (SP)
|
100% |
42
3.30 IPS |
|
Object Detection (HP)
|
100% |
42
3.32 IPS |
|
Object Detection (Q)
|
87% |
79
6.30 IPS |
|
Face Detection (SP)
|
100% |
262
3.11 IPS |
|
Face Detection (HP)
|
100% |
263
3.13 IPS |
|
Face Detection (Q)
|
97% |
203
2.42 IPS |
|
Depth Estimation (SP)
|
100% |
358
2.76 IPS |
|
Depth Estimation (HP)
|
99% |
362
2.79 IPS |
|
Depth Estimation (Q)
|
66% |
346
3.03 IPS |
|
Style Transfer (SP)
|
100% |
323
0.42 IPS |
|
Style Transfer (HP)
|
100% |
188
0.24 IPS |
|
Style Transfer (Q)
|
98% |
566
0.73 IPS |
|
Image Super-Resolution (SP)
|
100% |
201
7.41 IPS |
|
Image Super-Resolution (HP)
|
100% |
201
7.41 IPS |
|
Image Super-Resolution (Q)
|
97% |
213
7.91 IPS |
|
Text Classification (SP)
|
100% |
22
29.1 IPS |
|
Text Classification (HP)
|
100% |
59
78.9 IPS |
|
Text Classification (Q)
|
93% |
27
36.4 IPS |
|
Machine Translation (SP)
|
100% |
72
1.24 IPS |
|
Machine Translation (HP)
|
100% |
104
1.79 IPS |
|
Machine Translation (Q)
|
55% |
48
1.28 IPS |