Xiaomi 25042PN24C
Geekbench AI Score
728
Single Precision Score
726
Half Precision Score
1615
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 07:59 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% |
475
88.4 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (Q)
|
99% |
1207
225.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1198
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
726
0.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
3050
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (Q)
|
87% |
1224
98.1 IPS |
|
|
Face Detection (SP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
2445
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
907
6.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
2163
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1406
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1396
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
3649
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1734
64.3 IPS |
|
|
Text Classification (SP)
|
100% |
669
892.7 IPS |
|
|
Text Classification (HP)
|
100% |
674
899.9 IPS |
|
|
Text Classification (Q)
|
91% |
971
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
57% |
692
16.9 IPS |
