Xiaomi 25010PN30G
Geekbench AI Score
2271
Single Precision Score
2641
Half Precision Score
4075
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 02:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1828
339.9 IPS |
|
|
Image Classification (HP)
|
100% |
2066
384.3 IPS |
|
|
Image Classification (Q)
|
100% |
2645
491.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4265
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2847
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5126
5.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
12807
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1632
129.9 IPS |
|
|
Object Detection (HP)
|
98% |
1641
130.6 IPS |
|
|
Object Detection (Q)
|
83% |
1638
132.3 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
4078
48.5 IPS |
|
|
Face Detection (Q)
|
95% |
8807
105.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4340
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4299
33.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10230
93.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10705
13.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10097
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23508
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2242
82.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6252
231.6 IPS |
|
|
Text Classification (SP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
725
977.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
556
19.7 IPS |
