Xiaomi 25010PN30G
Geekbench AI Score
2555
Single Precision Score
2560
Half Precision Score
3906
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 01:36 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% |
1885
350.6 IPS |
|
|
Image Classification (HP)
|
100% |
1884
350.4 IPS |
|
|
Image Classification (Q)
|
100% |
1931
359.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2499
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5034
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4823
5.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
11983
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1518
120.8 IPS |
|
|
Object Detection (HP)
|
98% |
1550
123.4 IPS |
|
|
Object Detection (Q)
|
83% |
3645
294.4 IPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
3862
45.9 IPS |
|
|
Face Detection (Q)
|
95% |
8691
103.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3921
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4178
32.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9500
87.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10709
13.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10557
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21606
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5242
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
835
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
856
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
503
17.9 IPS |
