Xiaomi 25042PN24C
Geekbench AI Score
1022
Single Precision Score
1345
Half Precision Score
1287
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 11:29 AM |
| Views | 1 |
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% |
727
135.1 IPS |
|
|
Image Classification (HP)
|
100% |
940
174.8 IPS |
|
|
Image Classification (Q)
|
99% |
750
139.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1483
1.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
1460
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (HP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (Q)
|
83% |
733
59.3 IPS |
|
|
Face Detection (SP)
|
100% |
2062
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2505
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
2266
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2066
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2963
22.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2341
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3925
5.05 IPS |
|
|
Style Transfer (HP)
|
100% |
5895
7.58 IPS |
|
|
Style Transfer (Q)
|
98% |
5868
7.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1114
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.0 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.2 IPS |
|
|
Text Classification (Q)
|
91% |
844
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
57% |
642
15.7 IPS |
