Xiaomi 25042PN24C
Geekbench AI Score
742
Single Precision Score
744
Half Precision Score
1650
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 10 2025 10:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25042PN24C |
| Model ID | Xiaomi 25042PN24C |
| Motherboard | O1_asic |
| Governor | xres |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 1.89 GHz |
| Cluster 3 | 4 Cores @ 3.40 GHz |
| Cluster 4 | 2 Cores @ 3.90 GHz |
| Memory Information | |
|---|---|
| Size | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.7 IPS |
|
|
Image Classification (Q)
|
99% |
1186
221.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
731
0.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
3105
3.64 IPS |
|
|
Object Detection (SP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (Q)
|
87% |
1238
99.3 IPS |
|
|
Face Detection (SP)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
2483
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
938
7.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
936
7.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
2255
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1422
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1418
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
3774
4.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
505
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
505
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1800
66.7 IPS |
|
|
Text Classification (SP)
|
100% |
691
922.4 IPS |
|
|
Text Classification (HP)
|
100% |
699
933.6 IPS |
|
|
Text Classification (Q)
|
91% |
1000
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (Q)
|
57% |
723
17.7 IPS |
