User | kitsunechan_2525 |
Upload Date | May 18 2025 11:47 AM |
Views | 4 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Xiaomi 2410CRP4CC |
Model ID | Xiaomi 2410CRP4CC |
Motherboard | uke |
Governor | walt |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
Base Frequency | 1.90 GHz |
Cluster 1 | 3 Cores @ 1.90 GHz |
Cluster 2 | 4 Cores @ 2.61 GHz |
Cluster 3 | 1 Core @ 2.80 GHz |
Memory Information | |
---|---|
Size | 11.20 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1350
251.1 IPS |
|
Image Classification (HP)
|
100% |
1440
267.8 IPS |
|
Image Classification (Q)
|
100% |
840
156.2 IPS |
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
Image Segmentation (HP)
|
100% |
780
12.7 IPS |
|
Image Segmentation (Q)
|
98% |
1338
21.8 IPS |
|
Pose Estimation (SP)
|
100% |
1682
1.96 IPS |
|
Pose Estimation (HP)
|
100% |
1733
2.02 IPS |
|
Pose Estimation (Q)
|
84% |
3563
4.23 IPS |
|
Object Detection (SP)
|
98% |
787
62.6 IPS |
|
Object Detection (HP)
|
98% |
797
63.4 IPS |
|
Object Detection (Q)
|
83% |
836
67.6 IPS |
|
Face Detection (SP)
|
100% |
1712
20.3 IPS |
|
Face Detection (HP)
|
100% |
1699
20.2 IPS |
|
Face Detection (Q)
|
95% |
2514
30.0 IPS |
|
Depth Estimation (SP)
|
99% |
1806
14.0 IPS |
|
Depth Estimation (HP)
|
99% |
1784
13.8 IPS |
|
Depth Estimation (Q)
|
64% |
2254
20.6 IPS |
|
Style Transfer (SP)
|
89% |
4013
5.21 IPS |
|
Style Transfer (HP)
|
89% |
4316
5.60 IPS |
|
Style Transfer (Q)
|
98% |
7285
9.39 IPS |
|
Image Super-Resolution (SP)
|
100% |
800
29.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
840
31.0 IPS |
|
Image Super-Resolution (Q)
|
97% |
1721
63.8 IPS |
|
Text Classification (SP)
|
100% |
310
413.7 IPS |
|
Text Classification (HP)
|
99% |
221
295.5 IPS |
|
Text Classification (Q)
|
88% |
517
697.1 IPS |
|
Machine Translation (SP)
|
100% |
740
12.7 IPS |
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
Machine Translation (Q)
|
50% |
196
6.97 IPS |