Xiaomi 25032RP42C
Geekbench AI Score
965
Single Precision Score
1401
Half Precision Score
1279
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | zxhsean |
| Upload Date | May 24 2025 12:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (HP)
|
100% |
926
172.3 IPS |
|
|
Image Classification (Q)
|
99% |
778
145.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1264
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
764
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
1164
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (HP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (Q)
|
83% |
772
62.4 IPS |
|
|
Face Detection (SP)
|
100% |
2015
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
2391
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1176
9.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
2202
17.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1752
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3184
4.09 IPS |
|
|
Style Transfer (HP)
|
100% |
4841
6.22 IPS |
|
|
Style Transfer (Q)
|
98% |
4797
6.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
979
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
702
937.2 IPS |
|
|
Text Classification (HP)
|
100% |
712
950.1 IPS |
|
|
Text Classification (Q)
|
91% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
57% |
711
17.4 IPS |
