Xiaomi 25113PN0EG
Geekbench AI Score
2239
Single Precision Score
3300
Half Precision Score
2746
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 19 2026 05:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
1847
343.4 IPS |
|
|
Image Classification (Q)
|
100% |
1775
330.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2945
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4863
78.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3923
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10769
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
19515
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19394
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (HP)
|
99% |
1585
125.7 IPS |
|
|
Object Detection (Q)
|
85% |
1531
123.3 IPS |
|
|
Face Detection (SP)
|
100% |
3968
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
6988
83.0 IPS |
|
|
Face Detection (Q)
|
97% |
5712
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5655
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7743
59.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
6092
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13713
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29415
37.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30172
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2963
109.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4241
157.2 IPS |
|
|
Text Classification (SP)
|
35% |
58
568.9 IPS |
|
|
Text Classification (HP)
|
35% |
59
535.3 IPS |
|
|
Text Classification (Q)
|
33% |
49
553.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (Q)
|
48% |
542
20.8 IPS |
