Xiaomi 25102RKBEC
Geekbench AI Score
571
Single Precision Score
30601
Half Precision Score
77360
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | March 18 2026 06:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
24003
4.46 KIPS |
|
|
Image Classification (Q)
|
96% |
48233
9.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
15499
251.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
60939
990.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
578
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
153746
179.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
594462
695.8 IPS |
|
|
Object Detection (SP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
23426
1.86 KIPS |
|
|
Object Detection (Q)
|
85% |
31784
2.56 KIPS |
|
|
Face Detection (SP)
|
100% |
900
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
45888
545.2 IPS |
|
|
Face Detection (Q)
|
97% |
160270
1.91 KIPS |
|
|
Depth Estimation (SP)
|
100% |
754
5.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
89595
690.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
194416
1.81 KIPS |
|
|
Style Transfer (SP)
|
100% |
1292
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
93433
120.1 IPS |
|
|
Style Transfer (Q)
|
98% |
565999
729.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53123
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
161196
5.97 KIPS |
|
|
Text Classification (SP)
|
100% |
476
635.7 IPS |
|
|
Text Classification (HP)
|
100% |
4169
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
11021
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6318
108.8 IPS |
|
|
Machine Translation (Q)
|
56% |
4412
113.7 IPS |
