Xiaomi 25053PC47I
Geekbench ML Score
447
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 05:31 PM |
| Views | 10 |
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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
197
36.9 IPS |
|
|
Image Classification (F16)
|
100% |
197
36.9 IPS |
|
|
Image Classification (I8)
|
97% |
496
92.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
252
4.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
251
4.20 IPS |
|
|
Image Segmentation (I8)
|
98% |
507
8.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
353
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
354
0.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
1314
1.59 IPS |
|
|
Object Detection (F32)
|
100% |
206
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
208
15.5 IPS |
|
|
Object Detection (I8)
|
61% |
540
40.3 IPS |
|
|
Face Detection (F32)
|
100% |
512
6.09 IPS |
|
|
Face Detection (F16)
|
100% |
513
6.10 IPS |
|
|
Face Detection (I8)
|
86% |
1133
13.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
448
3.47 IPS |
|
|
Depth Estimation (F16)
|
100% |
448
3.48 IPS |
|
|
Depth Estimation (I8)
|
95% |
1210
9.39 IPS |
|
|
Style Transfer (F32)
|
100% |
733
0.96 IPS |
|
|
Style Transfer (F16)
|
100% |
734
0.97 IPS |
|
|
Style Transfer (I8)
|
98% |
1753
2.31 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
238
8.49 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
234
8.36 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
826
29.5 IPS |
|
|
Text Classification (F32)
|
100% |
270
388.6 IPS |
|
|
Text Classification (F16)
|
100% |
288
413.7 IPS |
|
|
Text Classification (I8)
|
92% |
471
677.5 IPS |
|
|
Machine Translation (F32)
|
100% |
484
8.91 IPS |
|
|
Machine Translation (F16)
|
100% |
486
8.94 IPS |
|
|
Machine Translation (I8)
|
64% |
534
9.83 IPS |
