Xiaomi 25010PN30G
Geekbench AI Score
1922
Single Precision Score
1770
Half Precision Score
3047
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 08:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25010PN30G |
| Model ID | Xiaomi 25010PN30G |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
1671
310.8 IPS |
|
|
Image Classification (Q)
|
100% |
3759
699.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3669
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3934
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3812
4.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
10376
12.3 IPS |
|
|
Object Detection (SP)
|
98% |
1013
80.6 IPS |
|
|
Object Detection (HP)
|
98% |
1100
87.5 IPS |
|
|
Object Detection (Q)
|
83% |
2732
220.7 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2974
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
6232
74.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3396
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2468
19.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4215
38.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7932
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
6374
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
12424
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3239
120.0 IPS |
|
|
Text Classification (SP)
|
100% |
415
554.4 IPS |
|
|
Text Classification (HP)
|
99% |
422
562.6 IPS |
|
|
Text Classification (Q)
|
88% |
667
899.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
50% |
251
8.90 IPS |
