Xiaomi 25053PC47G
Geekbench AI Score
2319
Single Precision Score
2306
Half Precision Score
3676
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 08:41 AM |
| 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% |
1467
272.9 IPS |
|
|
Image Classification (HP)
|
100% |
1491
277.3 IPS |
|
|
Image Classification (Q)
|
100% |
2757
512.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3552
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4002
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3892
4.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
9100
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
1666
132.6 IPS |
|
|
Object Detection (HP)
|
98% |
1665
132.5 IPS |
|
|
Object Detection (Q)
|
83% |
2504
202.3 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3526
41.9 IPS |
|
|
Face Detection (Q)
|
95% |
6435
76.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3939
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3769
29.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6780
62.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9946
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9895
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17814
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1842
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4506
167.0 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
760
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1023
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
565
20.1 IPS |
