Xiaomi 25053PC47G
Geekbench AI Score
2218
Single Precision Score
2305
Half Precision Score
3735
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 04:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
933
173.4 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (Q)
|
100% |
2587
481.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3318
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3857
4.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
9193
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1600
127.3 IPS |
|
|
Object Detection (HP)
|
98% |
1667
132.6 IPS |
|
|
Object Detection (Q)
|
83% |
2596
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (Q)
|
95% |
6731
80.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3833
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3850
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6979
63.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10241
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10137
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18709
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4647
172.2 IPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1056
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
599
21.3 IPS |
