Xiaomi 25010PN30G
Geekbench AI Score
2195
Single Precision Score
2209
Half Precision Score
3405
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:39 PM |
| Views | 3 |
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% |
1575
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.3 IPS |
|
|
Image Classification (Q)
|
100% |
3363
625.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4344
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4169
4.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
10080
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1250
99.4 IPS |
|
|
Object Detection (HP)
|
98% |
1274
101.4 IPS |
|
|
Object Detection (Q)
|
83% |
2812
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (Q)
|
95% |
6110
72.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3631
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3645
28.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7540
69.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8941
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9174
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18350
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2936
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
713
951.1 IPS |
|
|
Text Classification (HP)
|
99% |
703
938.1 IPS |
|
|
Text Classification (Q)
|
88% |
495
667.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
