Xiaomi 25042PN24C
Geekbench AI Score
698
Single Precision Score
697
Half Precision Score
1552
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 10:50 AM |
| Views | 5 |
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% |
435
80.9 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (Q)
|
99% |
1100
205.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1097
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
676
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
676
0.79 IPS |
|
|
Pose Estimation (Q)
|
98% |
2932
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
87% |
1155
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
2346
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
884
6.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
882
6.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
2156
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1352
1.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1351
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
3559
4.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1699
63.0 IPS |
|
|
Text Classification (SP)
|
100% |
653
871.6 IPS |
|
|
Text Classification (HP)
|
100% |
665
888.2 IPS |
|
|
Text Classification (Q)
|
91% |
944
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
57% |
690
16.9 IPS |
