Xiaomi 25010PN30G
Geekbench AI Score
1328
Single Precision Score
1308
Half Precision Score
2090
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 08:59 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% |
719
133.8 IPS |
|
|
Image Classification (HP)
|
100% |
825
153.5 IPS |
|
|
Image Classification (Q)
|
100% |
1593
296.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1944
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2307
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2320
2.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
5633
6.68 IPS |
|
|
Object Detection (SP)
|
98% |
733
58.3 IPS |
|
|
Object Detection (HP)
|
98% |
728
57.9 IPS |
|
|
Object Detection (Q)
|
83% |
1567
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
3880
46.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2348
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2245
17.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4141
37.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5910
7.67 IPS |
|
|
Style Transfer (HP)
|
89% |
5944
7.72 IPS |
|
|
Style Transfer (Q)
|
98% |
11358
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2512
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.5 IPS |
|
|
Text Classification (HP)
|
99% |
380
507.2 IPS |
|
|
Text Classification (Q)
|
88% |
399
537.8 IPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
