Xiaomi 25042PN24C
Geekbench AI Score
1268
Single Precision Score
1767
Half Precision Score
1690
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | May 29 2025 04:25 AM |
| Views | 11 |
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% |
1050
195.3 IPS |
|
|
Image Classification (HP)
|
100% |
1486
276.4 IPS |
|
|
Image Classification (Q)
|
99% |
1381
257.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1128
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1080
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1520
1.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
1507
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (HP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (Q)
|
83% |
1356
109.7 IPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
4749
56.4 IPS |
|
|
Face Detection (Q)
|
97% |
3936
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2570
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3693
28.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2962
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4243
5.45 IPS |
|
|
Style Transfer (HP)
|
100% |
6418
8.25 IPS |
|
|
Style Transfer (Q)
|
98% |
6388
8.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1619
60.0 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.3 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.4 IPS |
|
|
Text Classification (Q)
|
91% |
799
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
621
15.2 IPS |
