Xiaomi 25010PN30G
Geekbench AI Score
2346
Single Precision Score
2248
Half Precision Score
3895
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 10:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
1462
271.9 IPS |
|
|
Image Classification (Q)
|
100% |
3141
584.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3581
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4261
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4847
5.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
11154
13.2 IPS |
|
|
Object Detection (SP)
|
98% |
1501
119.5 IPS |
|
|
Object Detection (HP)
|
98% |
1532
121.9 IPS |
|
|
Object Detection (Q)
|
83% |
2972
240.1 IPS |
|
|
Face Detection (SP)
|
100% |
3770
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
8390
100.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4164
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4169
32.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
8782
80.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9364
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8167
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17400
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5056
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
741
989.5 IPS |
|
|
Text Classification (Q)
|
88% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1158
20.0 IPS |
|
|
Machine Translation (Q)
|
50% |
440
15.6 IPS |
