Xiaomi Pad 7 Ultra Xiaomi 25032RP42C
Geekbench AI Score
916
Single Precision Score
1223
Half Precision Score
1149
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | pig_10 |
| Upload Date | June 09 2025 03:53 PM |
| Views | 10 |
| Notes | XRING O1 |
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% |
603
112.2 IPS |
|
|
Image Classification (HP)
|
100% |
788
146.5 IPS |
|
|
Image Classification (Q)
|
99% |
694
129.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
904
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
689
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1086
1.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
1075
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (HP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (Q)
|
83% |
698
56.5 IPS |
|
|
Face Detection (SP)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2479
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
2178
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1171
9.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1261
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3188
4.10 IPS |
|
|
Style Transfer (HP)
|
100% |
4807
6.18 IPS |
|
|
Style Transfer (Q)
|
98% |
4804
6.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
968
35.9 IPS |
|
|
Text Classification (SP)
|
100% |
687
917.0 IPS |
|
|
Text Classification (HP)
|
100% |
686
915.1 IPS |
|
|
Text Classification (Q)
|
91% |
947
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
57% |
706
17.2 IPS |
