Xiaomi 25028RN03A
Geekbench AI Score
152
Single Precision Score
276
Half Precision Score
234
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 11:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
87
16.2 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
97% |
159
29.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
237
3.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
973
1.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
960
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.45 IPS |
|
|
Object Detection (HP)
|
99% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
157
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (HP)
|
100% |
676
8.04 IPS |
|
|
Face Detection (Q)
|
96% |
597
7.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.80 IPS |
|
|
Depth Estimation (HP)
|
98% |
707
5.46 IPS |
|
|
Depth Estimation (Q)
|
62% |
556
5.28 IPS |
|
|
Style Transfer (SP)
|
100% |
863
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1793
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
1773
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
215
7.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
421
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
406
15.1 IPS |
|
|
Text Classification (SP)
|
35% |
5
47.0 IPS |
|
|
Text Classification (HP)
|
29% |
5
90.2 IPS |
|
|
Text Classification (Q)
|
33% |
7
85.5 IPS |
|
|
Machine Translation (SP)
|
100% |
158
2.73 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
43% |
53
3.10 IPS |
