Xiaomi Mi 9 SE
Geekbench AI Score
269
Single Precision Score
441
Half Precision Score
404
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 08:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (Q)
|
99% |
302
56.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
439
7.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (HP)
|
99% |
1721
2.01 IPS |
|
|
Pose Estimation (Q)
|
97% |
1714
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
99% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
85% |
263
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
604
7.18 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
876
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
565
4.36 IPS |
|
|
Depth Estimation (HP)
|
98% |
1017
7.86 IPS |
|
|
Depth Estimation (Q)
|
63% |
800
7.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1283
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
2556
3.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2461
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
452
16.7 IPS |
|
|
Text Classification (SP)
|
35% |
11
105.8 IPS |
|
|
Text Classification (HP)
|
35% |
17
154.8 IPS |
|
|
Text Classification (Q)
|
35% |
17
151.8 IPS |
|
|
Machine Translation (SP)
|
100% |
158
2.71 IPS |
|
|
Machine Translation (HP)
|
97% |
189
3.27 IPS |
|
|
Machine Translation (Q)
|
64% |
149
3.06 IPS |
