Xiaomi 25102PCBEG
Geekbench AI Score
2454
Single Precision Score
3813
Half Precision Score
3144
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | pstz |
| Upload Date | January 22 2026 07:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25102PCBEG |
| Model ID | Xiaomi 25102PCBEG |
| 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 | 14.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (HP)
|
100% |
2015
374.7 IPS |
|
|
Image Classification (Q)
|
100% |
2007
373.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5534
89.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4967
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12529
14.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
22432
26.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22163
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
99% |
1827
144.9 IPS |
|
|
Object Detection (Q)
|
85% |
1714
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
4156
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
8513
101.2 IPS |
|
|
Face Detection (Q)
|
97% |
6753
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6460
49.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8868
68.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
6822
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15466
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34509
44.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33425
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3337
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5169
190.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4776
177.0 IPS |
|
|
Text Classification (SP)
|
35% |
72
705.9 IPS |
|
|
Text Classification (HP)
|
35% |
70
640.4 IPS |
|
|
Text Classification (Q)
|
33% |
58
652.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (Q)
|
48% |
586
22.5 IPS |
