Xiaomi Mi 9T
Geekbench AI Score
481
Single Precision Score
469
Half Precision Score
872
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 16 2024 09:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 730 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Mi 9T |
| Model ID | Xiaomi Mi 9T |
| Motherboard | sm6150 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
100% |
663
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
725
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1630
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
87% |
582
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
699
8.31 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (Q)
|
95% |
1275
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
831
6.40 IPS |
|
|
Depth Estimation (HP)
|
100% |
855
6.59 IPS |
|
|
Depth Estimation (Q)
|
75% |
1444
11.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1612
2.09 IPS |
|
|
Style Transfer (HP)
|
89% |
1611
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
3109
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
779
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.3 IPS |
|
|
Text Classification (HP)
|
100% |
229
305.6 IPS |
|
|
Text Classification (Q)
|
88% |
442
595.5 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.92 IPS |
|
|
Machine Translation (Q)
|
50% |
284
10.1 IPS |
