Xiaomi 25028RN03L
Geekbench AI Score
223
Single Precision Score
222
Half Precision Score
293
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 03:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25028RN03L |
| Model ID | Xiaomi 25028RN03L |
| 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
17.6 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
100% |
198
36.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
248
4.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
497
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
378
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.59 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.58 IPS |
|
|
Object Detection (Q)
|
83% |
192
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (Q)
|
95% |
549
6.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
372
2.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
356
2.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
428
3.92 IPS |
|
|
Style Transfer (SP)
|
89% |
815
1.06 IPS |
|
|
Style Transfer (HP)
|
89% |
811
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
973
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
229
8.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
237
8.77 IPS |
|
|
Text Classification (SP)
|
100% |
117
155.6 IPS |
|
|
Text Classification (HP)
|
100% |
116
154.5 IPS |
|
|
Text Classification (Q)
|
88% |
185
249.1 IPS |
|
|
Machine Translation (SP)
|
100% |
209
3.59 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (Q)
|
50% |
135
4.78 IPS |
