Xiaomi 25062RN2DE
Geekbench AI Score
228
Single Precision Score
229
Half Precision Score
235
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 08:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25062RN2DE |
| Model ID | Xiaomi 25062RN2DE |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (Q)
|
100% |
154
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
211
3.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
503
0.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
335
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.06 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.06 IPS |
|
|
Object Detection (Q)
|
83% |
151
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.34 IPS |
|
|
Face Detection (Q)
|
95% |
412
4.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
296
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
352
2.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
357
3.27 IPS |
|
|
Style Transfer (SP)
|
89% |
895
1.16 IPS |
|
|
Style Transfer (HP)
|
89% |
870
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
847
1.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
202
7.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
194
7.21 IPS |
|
|
Text Classification (SP)
|
100% |
129
171.9 IPS |
|
|
Text Classification (HP)
|
100% |
127
169.0 IPS |
|
|
Text Classification (Q)
|
88% |
139
187.1 IPS |
|
|
Machine Translation (SP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.42 IPS |
|
|
Machine Translation (Q)
|
50% |
95
3.36 IPS |
