Xiaomi 25010PN30G
Geekbench AI Score
2364
Single Precision Score
2347
Half Precision Score
3989
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:36 PM |
| Views | 2 |
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% |
1667
310.0 IPS |
|
|
Image Classification (HP)
|
100% |
1676
311.7 IPS |
|
|
Image Classification (Q)
|
100% |
3085
573.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4477
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4192
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4076
4.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
10429
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
1400
111.4 IPS |
|
|
Object Detection (HP)
|
98% |
1456
115.9 IPS |
|
|
Object Detection (Q)
|
83% |
3308
267.2 IPS |
|
|
Face Detection (SP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (Q)
|
95% |
8233
98.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3955
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3971
30.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
8669
79.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8921
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9242
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19771
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4823
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
702
946.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
449
16.0 IPS |
