Xiaomi 25113PN0EG
Geekbench AI Score
559
Single Precision Score
555
Half Precision Score
1261
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 08:32 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25113PN0EG |
| Model ID | Xiaomi 25113PN0EG |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 10.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
99% |
1314
245.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1225
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
2079
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
87% |
894
71.7 IPS |
|
|
Face Detection (SP)
|
100% |
817
9.71 IPS |
|
|
Face Detection (HP)
|
100% |
819
9.73 IPS |
|
|
Face Detection (Q)
|
97% |
1890
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
688
5.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
689
5.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1490
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
824
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1114
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2954
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1130
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.8 IPS |
|
|
Text Classification (HP)
|
100% |
409
546.1 IPS |
|
|
Text Classification (Q)
|
91% |
658
884.4 IPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
57% |
550
13.4 IPS |
