Xiaomi 25010PN30G
Geekbench AI Score
1980
Single Precision Score
1886
Half Precision Score
3295
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 07:53 PM |
| Views | 2 |
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% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
1269
236.0 IPS |
|
|
Image Classification (Q)
|
100% |
3089
574.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3643
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4182
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4142
4.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
10923
13.0 IPS |
|
|
Object Detection (SP)
|
98% |
1152
91.7 IPS |
|
|
Object Detection (HP)
|
98% |
1267
100.8 IPS |
|
|
Object Detection (Q)
|
83% |
3008
243.0 IPS |
|
|
Face Detection (SP)
|
100% |
2857
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
7014
83.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3780
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3694
28.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6424
58.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8777
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
6559
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
14427
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2816
104.4 IPS |
|
|
Text Classification (SP)
|
100% |
567
756.9 IPS |
|
|
Text Classification (HP)
|
99% |
724
966.6 IPS |
|
|
Text Classification (Q)
|
88% |
761
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
293
10.4 IPS |
