Xiaomi Mi 9 SE
Geekbench AI Score
148
Single Precision Score
178
Half Precision Score
528
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 08:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 712 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Mi 9 SE |
| Model ID | Xiaomi Mi 9 SE |
| Motherboard | sdm710 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
163
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
97% |
564
105.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
80
1.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
354
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
900
1.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
4188
4.91 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
59
4.70 IPS |
|
|
Object Detection (Q)
|
85% |
590
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (HP)
|
100% |
153
1.82 IPS |
|
|
Face Detection (Q)
|
97% |
1561
18.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
227
1.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
141
1.09 IPS |
|
|
Depth Estimation (Q)
|
22% |
102
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
265
0.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1499
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
249
9.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
494
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1709
63.3 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.46 IPS |
|
|
Text Classification (HP)
|
100% |
84
112.2 IPS |
|
|
Text Classification (Q)
|
93% |
54
73.1 IPS |
|
|
Machine Translation (SP)
|
100% |
112
1.92 IPS |
|
|
Machine Translation (HP)
|
100% |
149
2.57 IPS |
|
|
Machine Translation (Q)
|
54% |
75
2.10 IPS |
