Xiaomi 25102RKBEC
Geekbench AI Score
617
Single Precision Score
26489
Half Precision Score
66953
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | April 05 2026 06:07 AM |
| Views | 3 |
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% |
494
91.9 IPS |
|
|
Image Classification (HP)
|
100% |
24037
4.47 KIPS |
|
|
Image Classification (Q)
|
96% |
46017
8.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14188
230.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
56229
914.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
757
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
133686
156.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
470663
550.9 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
19171
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
27307
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
40171
477.3 IPS |
|
|
Face Detection (Q)
|
97% |
154102
1.84 KIPS |
|
|
Depth Estimation (SP)
|
100% |
1028
7.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
77016
593.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
176209
1.64 KIPS |
|
|
Style Transfer (SP)
|
100% |
1601
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
75947
97.6 IPS |
|
|
Style Transfer (Q)
|
98% |
458912
591.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43706
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
130149
4.82 KIPS |
|
|
Text Classification (SP)
|
100% |
368
490.8 IPS |
|
|
Text Classification (HP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (Q)
|
93% |
9417
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5431
93.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3564
91.8 IPS |
