Upload Date | July 13 2025 02:22 PM |
Views | 4 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Xiaomi 25053PC47I |
Model ID | Xiaomi 25053PC47I |
Motherboard | sun |
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 | 2.02 GHz |
Cluster 1 | 2 Cores @ 2.02 GHz |
Cluster 2 | 2 Cores @ 2.80 GHz |
Cluster 3 | 3 Cores @ 3.01 GHz |
Cluster 4 | 1 Core @ 3.21 GHz |
Memory Information | |
---|---|
Size | 11.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
237
44.2 IPS |
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
Image Classification (Q)
|
99% |
590
110.0 IPS |
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
Image Segmentation (HP)
|
100% |
309
5.02 IPS |
|
Image Segmentation (Q)
|
98% |
614
9.99 IPS |
|
Pose Estimation (SP)
|
100% |
438
0.51 IPS |
|
Pose Estimation (HP)
|
100% |
436
0.51 IPS |
|
Pose Estimation (Q)
|
98% |
1605
1.88 IPS |
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
Object Detection (Q)
|
87% |
652
52.3 IPS |
|
Face Detection (SP)
|
100% |
593
7.05 IPS |
|
Face Detection (HP)
|
100% |
602
7.15 IPS |
|
Face Detection (Q)
|
97% |
1372
16.4 IPS |
|
Depth Estimation (SP)
|
100% |
521
4.02 IPS |
|
Depth Estimation (HP)
|
99% |
471
3.63 IPS |
|
Depth Estimation (Q)
|
64% |
1016
9.22 IPS |
|
Style Transfer (SP)
|
100% |
861
1.11 IPS |
|
Style Transfer (HP)
|
100% |
752
0.97 IPS |
|
Style Transfer (Q)
|
98% |
1786
2.30 IPS |
|
Image Super-Resolution (SP)
|
100% |
233
8.60 IPS |
|
Image Super-Resolution (HP)
|
100% |
233
8.60 IPS |
|
Image Super-Resolution (Q)
|
97% |
786
29.1 IPS |
|
Text Classification (SP)
|
100% |
296
395.0 IPS |
|
Text Classification (HP)
|
100% |
296
394.4 IPS |
|
Text Classification (Q)
|
91% |
480
644.5 IPS |
|
Machine Translation (SP)
|
100% |
561
9.66 IPS |
|
Machine Translation (HP)
|
100% |
562
9.67 IPS |
|
Machine Translation (Q)
|
57% |
440
10.7 IPS |