Xiaomi Pad 7 Ultra Xiaomi 25032RP42C
Geekbench AI Score
705
Single Precision Score
707
Half Precision Score
1576
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | pig_10 |
| Upload Date | June 09 2025 03:46 PM |
| Views | 6 |
| Notes | XRING O1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
435
80.9 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
99% |
1137
212.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1106
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
684
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
681
0.79 IPS |
|
|
Pose Estimation (Q)
|
98% |
2964
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
87% |
1212
97.2 IPS |
|
|
Face Detection (SP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
2435
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
888
6.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
891
6.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
2157
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1369
1.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1375
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
3640
4.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1701
63.0 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.8 IPS |
|
|
Text Classification (HP)
|
100% |
673
898.0 IPS |
|
|
Text Classification (Q)
|
91% |
926
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
57% |
697
17.0 IPS |
