Xiaomi 25028RN03A
Geekbench AI Score
214
Single Precision Score
221
Half Precision Score
280
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 07:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25028RN03A |
| Model ID | Xiaomi 25028RN03A |
| 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% |
95
17.7 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (Q)
|
100% |
199
37.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
248
4.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
376
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.58 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.57 IPS |
|
|
Object Detection (Q)
|
83% |
192
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (HP)
|
100% |
330
3.93 IPS |
|
|
Face Detection (Q)
|
95% |
514
6.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
303
2.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
411
3.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
399
3.66 IPS |
|
|
Style Transfer (SP)
|
89% |
772
1.00 IPS |
|
|
Style Transfer (HP)
|
89% |
775
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
910
1.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
220
8.16 IPS |
|
|
Text Classification (SP)
|
100% |
109
146.1 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.3 IPS |
|
|
Text Classification (Q)
|
88% |
172
232.2 IPS |
|
|
Machine Translation (SP)
|
100% |
202
3.48 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (Q)
|
50% |
119
4.21 IPS |
