Xiaomi 25010PN30G
Geekbench AI Score
1699
Single Precision Score
1757
Half Precision Score
2800
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:45 PM |
| Views | 2 |
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% |
1001
186.1 IPS |
|
|
Image Classification (HP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (Q)
|
100% |
2815
523.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3582
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4105
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3403
3.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
8898
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1046
83.2 IPS |
|
|
Object Detection (HP)
|
98% |
1037
82.5 IPS |
|
|
Object Detection (Q)
|
83% |
2086
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
4883
58.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2502
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3049
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6190
56.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7789
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7631
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
15416
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3526
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
316
421.2 IPS |
|
|
Text Classification (HP)
|
99% |
618
824.8 IPS |
|
|
Text Classification (Q)
|
88% |
552
744.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
50% |
175
6.22 IPS |
