Xiaomi 25010PN30G
Geekbench AI Score
2389
Single Precision Score
3665
Half Precision Score
3118
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 09:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1446
268.8 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (Q)
|
100% |
2138
397.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2789
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4885
79.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4690
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11590
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
20702
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
20340
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
1793
142.2 IPS |
|
|
Object Detection (Q)
|
85% |
1712
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
4729
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
8138
96.7 IPS |
|
|
Face Detection (Q)
|
97% |
7262
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5977
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8282
64.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
6445
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14869
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32294
41.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31800
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3275
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5143
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5194
192.5 IPS |
|
|
Text Classification (SP)
|
35% |
72
705.5 IPS |
|
|
Text Classification (HP)
|
35% |
69
628.6 IPS |
|
|
Text Classification (Q)
|
33% |
54
604.0 IPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
48% |
596
22.9 IPS |
