Xiaomi 25053RT47C
Geekbench AI Score
1452
Single Precision Score
1500
Half Precision Score
2240
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25053RT47C |
| Model ID | Xiaomi 25053RT47C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 14.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
985
183.1 IPS |
|
|
Image Classification (HP)
|
100% |
1109
206.3 IPS |
|
|
Image Classification (Q)
|
100% |
2053
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2063
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2626
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2698
3.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
5544
6.58 IPS |
|
|
Object Detection (SP)
|
98% |
929
73.9 IPS |
|
|
Object Detection (HP)
|
98% |
1063
84.6 IPS |
|
|
Object Detection (Q)
|
83% |
1566
126.5 IPS |
|
|
Face Detection (SP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2280
27.1 IPS |
|
|
Face Detection (Q)
|
95% |
3769
45.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2450
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2319
17.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3782
34.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6468
8.40 IPS |
|
|
Style Transfer (HP)
|
89% |
6577
8.54 IPS |
|
|
Style Transfer (Q)
|
98% |
11517
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2672
99.0 IPS |
|
|
Text Classification (SP)
|
100% |
406
542.0 IPS |
|
|
Text Classification (HP)
|
99% |
430
573.9 IPS |
|
|
Text Classification (Q)
|
88% |
554
747.5 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
356
12.6 IPS |
