Xiaomi 25010PN30I
Geekbench AI Score
2107
Single Precision Score
2047
Half Precision Score
3408
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 03:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25010PN30I |
| Model ID | Xiaomi 25010PN30I |
| 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% |
1451
269.8 IPS |
|
|
Image Classification (HP)
|
100% |
1466
272.6 IPS |
|
|
Image Classification (Q)
|
100% |
3778
702.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4372
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4775
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4121
4.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
8357
9.91 IPS |
|
|
Object Detection (SP)
|
98% |
1281
102.0 IPS |
|
|
Object Detection (HP)
|
98% |
1243
98.9 IPS |
|
|
Object Detection (Q)
|
83% |
2902
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (Q)
|
95% |
7037
84.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3688
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3540
27.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7103
65.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8987
11.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8800
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17863
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3048
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
493
657.8 IPS |
|
|
Text Classification (HP)
|
99% |
558
744.7 IPS |
|
|
Text Classification (Q)
|
88% |
465
627.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
418
14.8 IPS |
