Xiaomi Pad 7 Ultra Xiaomi 25032RP42C
Geekbench AI Score
3004
Single Precision Score
2956
Half Precision Score
5021
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | pig_10 |
| Upload Date | June 09 2025 03:56 PM |
| Views | 5 |
| Notes | XRING O1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
2276
423.3 IPS |
|
|
Image Classification (Q)
|
100% |
3726
692.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4614
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4635
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4500
5.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
11184
13.3 IPS |
|
|
Object Detection (SP)
|
98% |
2154
171.4 IPS |
|
|
Object Detection (HP)
|
98% |
1939
154.3 IPS |
|
|
Object Detection (Q)
|
83% |
3659
295.6 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4298
51.1 IPS |
|
|
Face Detection (Q)
|
95% |
8569
102.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4442
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4142
32.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8144
74.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11392
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11502
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23764
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2329
86.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5969
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
99% |
1037
1.38 KIPS |
|
|
Text Classification (Q)
|
88% |
1572
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (Q)
|
50% |
932
33.1 IPS |
