Xiaomi 25102PCBEG
Geekbench AI Score
2526
Single Precision Score
3849
Half Precision Score
3191
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | pitrzusti |
| Upload Date | February 02 2026 05:55 PM |
| Views | 5 |
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% |
1521
282.9 IPS |
|
|
Image Classification (HP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (Q)
|
100% |
2564
476.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3149
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5766
93.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4856
79.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12449
14.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
22615
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
22248
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
99% |
1801
142.8 IPS |
|
|
Object Detection (Q)
|
85% |
1708
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
5248
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
9321
110.8 IPS |
|
|
Face Detection (Q)
|
97% |
6527
77.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6468
49.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8883
68.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
6844
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15643
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33854
43.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33611
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3366
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4763
176.5 IPS |
|
|
Text Classification (SP)
|
35% |
65
636.6 IPS |
|
|
Text Classification (HP)
|
35% |
69
628.6 IPS |
|
|
Text Classification (Q)
|
33% |
55
620.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (Q)
|
48% |
589
22.6 IPS |
