Xiaomi 25042PN24C
Geekbench AI Score
1074
Single Precision Score
1403
Half Precision Score
1318
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
706
131.3 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
99% |
729
136.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
857
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1018
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1480
1.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
1457
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (HP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (Q)
|
83% |
729
59.0 IPS |
|
|
Face Detection (SP)
|
100% |
2027
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2652
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
2406
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1743
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2889
22.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
2315
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3929
5.05 IPS |
|
|
Style Transfer (HP)
|
100% |
5916
7.60 IPS |
|
|
Style Transfer (Q)
|
98% |
5852
7.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1144
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1124
41.6 IPS |
|
|
Text Classification (SP)
|
100% |
657
876.9 IPS |
|
|
Text Classification (HP)
|
100% |
662
883.3 IPS |
|
|
Text Classification (Q)
|
91% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
57% |
686
16.8 IPS |
