Xiaomi 25010PN30G
Geekbench AI Score
2015
Single Precision Score
1911
Half Precision Score
3336
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 04 2025 11:45 PM |
| Views | 1 |
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% |
1445
268.8 IPS |
|
|
Image Classification (HP)
|
100% |
1675
311.4 IPS |
|
|
Image Classification (Q)
|
100% |
3392
630.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4512
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4821
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
4357
5.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
10903
12.9 IPS |
|
|
Object Detection (SP)
|
98% |
1539
122.5 IPS |
|
|
Object Detection (HP)
|
98% |
1546
123.0 IPS |
|
|
Object Detection (Q)
|
83% |
3379
273.0 IPS |
|
|
Face Detection (SP)
|
100% |
4145
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
4078
48.5 IPS |
|
|
Face Detection (Q)
|
95% |
8419
100.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3284
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3394
26.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6506
59.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8541
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7587
9.85 IPS |
|
|
Style Transfer (Q)
|
98% |
14157
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3599
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
463
618.5 IPS |
|
|
Text Classification (HP)
|
99% |
377
502.7 IPS |
|
|
Text Classification (Q)
|
88% |
443
597.3 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (Q)
|
50% |
245
8.70 IPS |
