Xiaomi 25053RP5CC
Geekbench AI Score
667
Single Precision Score
674
Half Precision Score
1467
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25053RP5CC |
| Model ID | Xiaomi 25053RP5CC |
| Motherboard | O1_asic |
| Governor | xres |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 1.89 GHz |
| Cluster 3 | 4 Cores @ 3.04 GHz |
| Cluster 4 | 2 Cores @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 15.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
412
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
1086
202.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1089
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
684
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
648
0.76 IPS |
|
|
Pose Estimation (Q)
|
98% |
2800
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.2 IPS |
|
|
Object Detection (Q)
|
87% |
1117
89.5 IPS |
|
|
Face Detection (SP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
2121
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
828
6.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
840
6.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1860
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1252
1.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1303
1.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3336
4.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1543
57.2 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.5 IPS |
|
|
Text Classification (HP)
|
100% |
639
852.8 IPS |
|
|
Text Classification (Q)
|
91% |
921
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
57% |
671
16.4 IPS |
