Xiaomi 25010PN30G
Geekbench AI Score
1466
Single Precision Score
1687
Half Precision Score
2206
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 03:51 PM |
| 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% |
961
178.6 IPS |
|
|
Image Classification (HP)
|
100% |
1159
215.5 IPS |
|
|
Image Classification (Q)
|
100% |
879
163.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1342
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1621
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
8341
9.89 IPS |
|
|
Object Detection (SP)
|
98% |
935
74.4 IPS |
|
|
Object Detection (HP)
|
98% |
895
71.2 IPS |
|
|
Object Detection (Q)
|
83% |
2490
201.1 IPS |
|
|
Face Detection (SP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
5918
70.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2662
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2851
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6224
57.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7468
9.69 IPS |
|
|
Style Transfer (HP)
|
89% |
7560
9.81 IPS |
|
|
Style Transfer (Q)
|
98% |
14974
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1380
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2808
104.1 IPS |
|
|
Text Classification (SP)
|
100% |
644
860.1 IPS |
|
|
Text Classification (HP)
|
99% |
640
854.2 IPS |
|
|
Text Classification (Q)
|
88% |
293
395.1 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
246
8.74 IPS |
