Xiaomi 25010PN30G
Geekbench AI Score
2517
Single Precision Score
2514
Half Precision Score
4242
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 05:00 PM |
| Views | 4 |
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% |
1763
327.8 IPS |
|
|
Image Classification (HP)
|
100% |
1756
326.5 IPS |
|
|
Image Classification (Q)
|
100% |
3883
722.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4655
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5166
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4921
5.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
11632
13.8 IPS |
|
|
Object Detection (SP)
|
98% |
1377
109.6 IPS |
|
|
Object Detection (HP)
|
98% |
1573
125.1 IPS |
|
|
Object Detection (Q)
|
83% |
3596
290.5 IPS |
|
|
Face Detection (SP)
|
100% |
4207
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4181
49.7 IPS |
|
|
Face Detection (Q)
|
95% |
8625
103.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4356
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4314
33.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
7681
70.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11202
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9425
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19933
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4772
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1176
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
445
15.8 IPS |
