Xiaomi 25028RN03Y
Geekbench AI Score
211
Single Precision Score
211
Half Precision Score
271
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 09:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25028RN03Y |
| Model ID | Xiaomi 25028RN03Y |
| Motherboard | serenity |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 6 Cores @ 1.61 GHz |
| Cluster 2 | 2 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
89
16.5 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.4 IPS |
|
|
Image Classification (Q)
|
100% |
180
33.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
115
1.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
115
1.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
227
3.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
348
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.07 IPS |
|
|
Object Detection (HP)
|
100% |
88
6.99 IPS |
|
|
Object Detection (Q)
|
83% |
180
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
301
3.58 IPS |
|
|
Face Detection (HP)
|
100% |
306
3.63 IPS |
|
|
Face Detection (Q)
|
95% |
500
5.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
407
3.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
406
3.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
392
3.59 IPS |
|
|
Style Transfer (SP)
|
89% |
758
0.98 IPS |
|
|
Style Transfer (HP)
|
89% |
761
0.99 IPS |
|
|
Style Transfer (Q)
|
98% |
896
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
212
7.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
214
7.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
220
8.14 IPS |
|
|
Text Classification (SP)
|
100% |
109
146.0 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.2 IPS |
|
|
Text Classification (Q)
|
88% |
172
231.7 IPS |
|
|
Machine Translation (SP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.43 IPS |
|
|
Machine Translation (Q)
|
50% |
127
4.50 IPS |
