Xiaomi 25102RKBEC
Geekbench AI Score
2537
Single Precision Score
3726
Half Precision Score
3180
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | March 18 2026 06:25 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (Q)
|
100% |
2041
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3359
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5305
86.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4881
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12582
14.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
22512
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
22210
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
1821
144.5 IPS |
|
|
Object Detection (Q)
|
85% |
1731
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
5104
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
7673
91.2 IPS |
|
|
Face Detection (Q)
|
97% |
8030
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6502
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8832
68.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6843
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15532
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33543
43.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33818
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3373
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4926
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4814
178.4 IPS |
|
|
Text Classification (SP)
|
35% |
71
693.4 IPS |
|
|
Text Classification (HP)
|
35% |
67
605.0 IPS |
|
|
Text Classification (Q)
|
33% |
53
592.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (Q)
|
48% |
583
22.4 IPS |
