Xiaomi 25042PN24C
Geekbench AI Score
774
Single Precision Score
773
Half Precision Score
1704
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 20 2025 08:30 AM |
| Views | 218 |
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% |
493
91.6 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
99% |
1258
234.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1242
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
768
0.90 IPS |
|
|
Pose Estimation (Q)
|
98% |
3289
3.85 IPS |
|
|
Object Detection (SP)
|
100% |
467
37.1 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
87% |
1313
105.3 IPS |
|
|
Face Detection (SP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1167
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
2558
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
983
7.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
976
7.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
2327
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1478
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1479
1.90 IPS |
|
|
Style Transfer (Q)
|
98% |
3836
4.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1832
67.9 IPS |
|
|
Text Classification (SP)
|
100% |
712
950.6 IPS |
|
|
Text Classification (HP)
|
100% |
716
955.5 IPS |
|
|
Text Classification (Q)
|
91% |
998
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
57% |
736
18.0 IPS |
