Xiaomi Mi 10T Lite 5G
Geekbench AI Score
512
Single Precision Score
484
Half Precision Score
911
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 01:32 PM |
| Views | 1 |
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% |
203
37.7 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.5 IPS |
|
|
Image Classification (Q)
|
100% |
566
105.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
640
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1033
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1628
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
616
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
751
8.93 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.74 IPS |
|
|
Face Detection (Q)
|
95% |
1322
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
979
7.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
912
7.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1300
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1906
2.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1699
2.21 IPS |
|
|
Style Transfer (Q)
|
98% |
3879
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
801
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.3 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.6 IPS |
|
|
Text Classification (Q)
|
88% |
557
750.6 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (Q)
|
50% |
367
13.0 IPS |
