Xiaomi 25042PN24C
Geekbench AI Score
698
Single Precision Score
696
Half Precision Score
1550
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | zxhsean |
| Upload Date | September 22 2025 09:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 15.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.8 IPS |
|
|
Image Classification (Q)
|
99% |
1145
213.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
684
0.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
2943
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
87% |
1195
95.8 IPS |
|
|
Face Detection (SP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
2372
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
879
6.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
864
6.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
2073
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1330
1.71 IPS |
|
|
Style Transfer (HP)
|
100% |
1327
1.71 IPS |
|
|
Style Transfer (Q)
|
98% |
3497
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1654
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
632
844.2 IPS |
|
|
Text Classification (HP)
|
100% |
648
865.5 IPS |
|
|
Text Classification (Q)
|
91% |
943
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
57% |
668
16.3 IPS |
