Xiaomi 25010PN30G
Geekbench AI Score
2421
Single Precision Score
2328
Half Precision Score
4036
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:34 PM |
| Views | 6 |
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% |
1484
275.9 IPS |
|
|
Image Classification (HP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (Q)
|
100% |
3457
642.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4566
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4507
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4211
4.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
10960
13.0 IPS |
|
|
Object Detection (SP)
|
98% |
1460
116.2 IPS |
|
|
Object Detection (HP)
|
98% |
1515
120.5 IPS |
|
|
Object Detection (Q)
|
83% |
3346
270.3 IPS |
|
|
Face Detection (SP)
|
100% |
4136
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (Q)
|
95% |
8616
102.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4184
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3903
30.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
8406
77.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9646
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9157
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19925
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5073
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
673
897.8 IPS |
|
|
Text Classification (Q)
|
88% |
626
844.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (Q)
|
50% |
433
15.4 IPS |
