Xiaomi 25053PC47I
Geekbench ML Score
1283
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 05:21 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25053PC47I |
| Model ID | Xiaomi 25053PC47I |
| 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 | 10.97 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
811
151.8 IPS |
|
|
Image Classification (F16)
|
100% |
839
157.0 IPS |
|
|
Image Classification (I8)
|
97% |
1226
229.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
997
16.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
910
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1306
1.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
1275
1.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
5910
7.16 IPS |
|
|
Object Detection (F32)
|
100% |
767
57.3 IPS |
|
|
Object Detection (F16)
|
100% |
716
53.5 IPS |
|
|
Object Detection (I8)
|
61% |
1345
100.4 IPS |
|
|
Face Detection (F32)
|
100% |
1800
21.4 IPS |
|
|
Face Detection (F16)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (I8)
|
86% |
2604
31.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1493
11.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
1451
11.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2639
20.5 IPS |
|
|
Style Transfer (F32)
|
100% |
2484
3.27 IPS |
|
|
Style Transfer (F16)
|
100% |
2449
3.22 IPS |
|
|
Style Transfer (I8)
|
98% |
4537
5.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
821
29.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
801
28.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1980
70.7 IPS |
|
|
Text Classification (F32)
|
100% |
670
963.0 IPS |
|
|
Text Classification (F16)
|
100% |
668
960.4 IPS |
|
|
Text Classification (I8)
|
92% |
407
584.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1377
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1415
26.0 IPS |
|
|
Machine Translation (I8)
|
64% |
489
9.01 IPS |
