Xiaomi 25053PC47G
Geekbench AI Score
2299
Single Precision Score
2289
Half Precision Score
3688
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Kaliz |
| Upload Date | September 29 2025 04:34 AM |
| Views | 5 |
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% |
1498
278.6 IPS |
|
|
Image Classification (HP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (Q)
|
100% |
2358
438.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3346
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4129
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4041
4.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
9477
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
1640
130.5 IPS |
|
|
Object Detection (HP)
|
98% |
1618
128.8 IPS |
|
|
Object Detection (Q)
|
83% |
2499
201.8 IPS |
|
|
Face Detection (SP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
6549
78.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3697
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3621
28.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6627
60.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10205
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10459
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18969
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4500
166.8 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1102
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
611
21.7 IPS |
