Xiaomi 25010PN30G
Geekbench AI Score
1433
Single Precision Score
1364
Half Precision Score
2024
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:02 PM |
| Views | 4 |
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% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
1110
206.4 IPS |
|
|
Image Classification (Q)
|
100% |
1185
220.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1818
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2811
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
7970
9.45 IPS |
|
|
Object Detection (SP)
|
98% |
921
73.3 IPS |
|
|
Object Detection (HP)
|
98% |
980
78.0 IPS |
|
|
Object Detection (Q)
|
83% |
815
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (Q)
|
95% |
5659
67.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2364
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2205
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4731
43.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5472
7.10 IPS |
|
|
Style Transfer (HP)
|
89% |
6425
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
12264
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3141
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.4 IPS |
|
|
Text Classification (HP)
|
99% |
343
458.5 IPS |
|
|
Text Classification (Q)
|
88% |
336
452.8 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
238
8.46 IPS |
