Xiaomi 25102RKBEC
Geekbench AI Score
566
Single Precision Score
567
Half Precision Score
1291
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | March 18 2026 06:21 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25102RKBEC |
| Model ID | Xiaomi 25102RKBEC |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
99% |
859
160.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
814
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
578
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
579
0.68 IPS |
|
|
Pose Estimation (Q)
|
98% |
2248
2.63 IPS |
|
|
Object Detection (SP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
87% |
966
77.5 IPS |
|
|
Face Detection (SP)
|
100% |
884
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
884
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
2046
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
742
5.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
744
5.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
1767
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1290
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1289
1.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3466
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1337
49.6 IPS |
|
|
Text Classification (SP)
|
100% |
483
644.3 IPS |
|
|
Text Classification (HP)
|
100% |
482
643.3 IPS |
|
|
Text Classification (Q)
|
91% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
57% |
650
15.9 IPS |
