Xiaomi 25113PN0EG
Geekbench AI Score
1475
Single Precision Score
2380
Half Precision Score
3388
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 19 2026 05:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25113PN0EG |
| Model ID | Xiaomi 25113PN0EG |
| 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 | 10.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
713
132.6 IPS |
|
|
Image Classification (HP)
|
100% |
1008
187.5 IPS |
|
|
Image Classification (Q)
|
99% |
1961
365.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3313
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3868
4.51 IPS |
|
|
Pose Estimation (HP)
|
92% |
6804
7.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
8620
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (HP)
|
97% |
1202
95.7 IPS |
|
|
Object Detection (Q)
|
85% |
2528
203.7 IPS |
|
|
Face Detection (SP)
|
100% |
2111
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
3926
46.6 IPS |
|
|
Face Detection (Q)
|
97% |
6059
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2873
22.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5206
40.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6189
56.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4995
6.48 IPS |
|
|
Style Transfer (HP)
|
88% |
8206
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16329
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2820
104.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4029
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
580
773.7 IPS |
|
|
Text Classification (HP)
|
100% |
696
928.9 IPS |
|
|
Text Classification (Q)
|
93% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
914
15.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1212
21.0 IPS |
|
|
Machine Translation (Q)
|
55% |
763
20.5 IPS |
