Xiaomi 25042PN24C
Geekbench AI Score
716
Single Precision Score
712
Half Precision Score
1576
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 05:50 AM |
| Views | 1 |
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% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.3 IPS |
|
|
Image Classification (Q)
|
99% |
1149
214.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1134
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
701
0.82 IPS |
|
|
Pose Estimation (Q)
|
98% |
2961
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
87% |
1195
95.8 IPS |
|
|
Face Detection (SP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
2363
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
905
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
896
6.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
2172
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1396
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1385
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
3578
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1692
62.7 IPS |
|
|
Text Classification (SP)
|
100% |
655
874.1 IPS |
|
|
Text Classification (HP)
|
100% |
665
887.8 IPS |
|
|
Text Classification (Q)
|
91% |
953
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
57% |
695
17.0 IPS |
