Xiaomi Mi 10T Lite 5G
Geekbench AI Score
488
Single Precision Score
485
Half Precision Score
863
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 10:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 750G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Mi 10T Lite 5G |
| Model ID | Xiaomi M2007J17G |
| Motherboard | gauguin |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
244
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (Q)
|
100% |
708
131.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
741
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1152
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1386
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (Q)
|
83% |
571
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (HP)
|
100% |
687
8.17 IPS |
|
|
Face Detection (Q)
|
95% |
1318
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
905
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
908
6.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1301
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1684
2.19 IPS |
|
|
Style Transfer (HP)
|
89% |
1678
2.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3298
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
693
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.7 IPS |
|
|
Text Classification (HP)
|
100% |
239
318.5 IPS |
|
|
Text Classification (Q)
|
88% |
471
635.5 IPS |
|
|
Machine Translation (SP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
