Xiaomi 25053PC47I
Geekbench ML Score
1018
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 05:26 PM |
| Views | 9 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
560
104.9 IPS |
|
|
Image Classification (F16)
|
100% |
625
116.9 IPS |
|
|
Image Classification (I8)
|
100% |
592
110.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
992
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1449
24.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
795
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
1605
1.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
1521
1.84 IPS |
|
|
Object Detection (F32)
|
100% |
368
27.5 IPS |
|
|
Object Detection (F16)
|
100% |
469
35.0 IPS |
|
|
Object Detection (I8)
|
59% |
472
35.3 IPS |
|
|
Face Detection (F32)
|
100% |
2065
24.6 IPS |
|
|
Face Detection (F16)
|
97% |
2238
26.6 IPS |
|
|
Face Detection (I8)
|
86% |
2488
29.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1127
8.74 IPS |
|
|
Depth Estimation (F16)
|
100% |
2707
21.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
2670
20.7 IPS |
|
|
Style Transfer (F32)
|
100% |
3001
3.95 IPS |
|
|
Style Transfer (F16)
|
100% |
6510
8.56 IPS |
|
|
Style Transfer (I8)
|
98% |
6517
8.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
382
13.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1173
41.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1135
40.5 IPS |
|
|
Text Classification (F32)
|
100% |
270
387.7 IPS |
|
|
Text Classification (F16)
|
100% |
274
393.1 IPS |
|
|
Text Classification (I8)
|
92% |
449
645.4 IPS |
|
|
Machine Translation (F32)
|
100% |
484
8.91 IPS |
|
|
Machine Translation (F16)
|
100% |
486
8.95 IPS |
|
|
Machine Translation (I8)
|
64% |
533
9.81 IPS |
