Xiaomi 25010PN30G
Geekbench AI Score
2114
Single Precision Score
2105
Half Precision Score
3195
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:42 PM |
| Views | 5 |
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% |
1252
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (Q)
|
100% |
3173
590.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3644
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4203
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4034
4.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
10566
12.5 IPS |
|
|
Object Detection (SP)
|
98% |
1210
96.3 IPS |
|
|
Object Detection (HP)
|
98% |
1222
97.2 IPS |
|
|
Object Detection (Q)
|
83% |
2872
232.0 IPS |
|
|
Face Detection (SP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (Q)
|
95% |
6008
71.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3616
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3681
28.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6520
59.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9098
11.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8456
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15619
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1740
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3318
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
729
972.5 IPS |
|
|
Text Classification (HP)
|
99% |
723
965.5 IPS |
|
|
Text Classification (Q)
|
88% |
638
860.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
244
8.68 IPS |
