Xiaomi 25062RN2DE
Geekbench AI Score
350
Single Precision Score
350
Half Precision Score
419
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 08:00 PM |
| Views | 3 |
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% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (Q)
|
100% |
340
63.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
233
3.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
429
6.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
876
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
876
1.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
741
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
314
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
498
5.91 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
95% |
732
8.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
631
4.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
673
5.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
715
6.54 IPS |
|
|
Style Transfer (SP)
|
89% |
1420
1.84 IPS |
|
|
Style Transfer (HP)
|
89% |
1431
1.86 IPS |
|
|
Style Transfer (Q)
|
98% |
1742
2.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
337
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
337
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
410
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
129
171.9 IPS |
|
|
Text Classification (HP)
|
100% |
129
171.9 IPS |
|
|
Text Classification (Q)
|
88% |
136
183.6 IPS |
|
|
Machine Translation (SP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (HP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (Q)
|
50% |
97
3.43 IPS |
