Xiaomi 25053PC47G
Geekbench AI Score
1599
Single Precision Score
2533
Half Precision Score
2120
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Kaliz |
| Upload Date | September 29 2025 04:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25053PC47G |
| Model ID | Xiaomi 25053PC47G |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1069
198.7 IPS |
|
|
Image Classification (HP)
|
100% |
1649
306.6 IPS |
|
|
Image Classification (Q)
|
100% |
1587
295.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3522
57.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3115
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7526
8.78 IPS |
|
|
Pose Estimation (HP)
|
99% |
13391
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13154
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (HP)
|
99% |
1360
107.9 IPS |
|
|
Object Detection (Q)
|
85% |
1352
108.8 IPS |
|
|
Face Detection (SP)
|
100% |
3830
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
6156
73.2 IPS |
|
|
Face Detection (Q)
|
97% |
5327
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4248
32.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6547
50.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
5058
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9410
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20008
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19740
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1832
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3416
126.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3329
123.4 IPS |
|
|
Text Classification (SP)
|
35% |
45
433.9 IPS |
|
|
Text Classification (HP)
|
35% |
59
539.3 IPS |
|
|
Text Classification (Q)
|
33% |
45
506.5 IPS |
|
|
Machine Translation (SP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
48% |
263
10.1 IPS |
