Xiaomi Mi 10T 5G
Geekbench AI Score
790
Single Precision Score
1265
Half Precision Score
1099
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 23 2025 11:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Mi 10T 5G |
| Model ID | Xiaomi M2007J3SY |
| Motherboard | apollo |
| 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 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
561
104.4 IPS |
|
|
Image Classification (HP)
|
100% |
879
163.4 IPS |
|
|
Image Classification (Q)
|
99% |
805
150.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1427
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3697
4.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
6331
7.39 IPS |
|
|
Pose Estimation (Q)
|
97% |
6215
7.28 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
99% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
85% |
595
47.9 IPS |
|
|
Face Detection (SP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
2409
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1688
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2530
19.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2097
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4211
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
8537
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8761
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1534
56.9 IPS |
|
|
Text Classification (SP)
|
35% |
27
265.3 IPS |
|
|
Text Classification (HP)
|
35% |
45
410.5 IPS |
|
|
Text Classification (Q)
|
35% |
44
399.2 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
97% |
492
8.51 IPS |
|
|
Machine Translation (Q)
|
64% |
204
4.18 IPS |
