Xiaomi Mi 10T Lite 5G
Geekbench AI Score
557
Single Precision Score
556
Half Precision Score
1052
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 05:00 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% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.5 IPS |
|
|
Image Classification (Q)
|
100% |
713
132.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
786
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1202
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1210
1.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
1729
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
83% |
711
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (HP)
|
100% |
782
9.30 IPS |
|
|
Face Detection (Q)
|
95% |
1642
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1023
7.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
1021
7.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1617
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1992
2.59 IPS |
|
|
Style Transfer (HP)
|
89% |
1999
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4045
5.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
554
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1000
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.4 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.7 IPS |
|
|
Text Classification (Q)
|
88% |
590
796.0 IPS |
|
|
Machine Translation (SP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
50% |
381
13.5 IPS |
