Xiaomi 25032RP42C
Geekbench AI Score
731
Single Precision Score
734
Half Precision Score
1610
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 09:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25032RP42C |
| Model ID | Xiaomi 25032RP42C |
| 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 @ 3.04 GHz |
| Cluster 4 | 2 Cores @ 3.70 GHz |
| Memory Information | |
|---|---|
| Size | 11.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
99% |
1141
212.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
573
9.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1141
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
714
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
715
0.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
3075
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
87% |
1241
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
2411
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
930
7.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
929
7.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
2244
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1426
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1431
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
3689
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1793
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
684
913.4 IPS |
|
|
Text Classification (HP)
|
100% |
694
927.0 IPS |
|
|
Text Classification (Q)
|
91% |
931
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (Q)
|
57% |
710
17.4 IPS |
