Xiaomi 25042PN24C
Geekbench AI Score
726
Single Precision Score
723
Half Precision Score
1599
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 10 2025 06:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25042PN24C |
| Model ID | Xiaomi 25042PN24C |
| Motherboard | O1_asic |
| Governor | xres |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 1.89 GHz |
| Cluster 3 | 4 Cores @ 3.40 GHz |
| Cluster 4 | 2 Cores @ 3.90 GHz |
| Memory Information | |
|---|---|
| Size | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (HP)
|
100% |
462
86.0 IPS |
|
|
Image Classification (Q)
|
99% |
1184
220.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1173
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
733
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
3006
3.52 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
87% |
1203
96.5 IPS |
|
|
Face Detection (SP)
|
100% |
1098
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
2407
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
900
6.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
2174
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1385
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1389
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
3586
4.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1717
63.6 IPS |
|
|
Text Classification (SP)
|
100% |
659
879.5 IPS |
|
|
Text Classification (HP)
|
100% |
673
898.4 IPS |
|
|
Text Classification (Q)
|
91% |
968
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
57% |
699
17.1 IPS |
