Xiaomi Mi 10T 5G
Geekbench AI Score
417
Single Precision Score
497
Half Precision Score
1376
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 23 2025 11:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.6 IPS |
|
|
Image Classification (Q)
|
97% |
1357
253.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1277
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5395
6.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
11397
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.6 IPS |
|
|
Object Detection (Q)
|
85% |
1681
135.2 IPS |
|
|
Face Detection (SP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
97% |
3602
42.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
495
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
299
2.31 IPS |
|
|
Depth Estimation (Q)
|
22% |
258
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
3842
4.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2139
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5370
199.0 IPS |
|
|
Text Classification (SP)
|
71% |
11
15.5 IPS |
|
|
Text Classification (HP)
|
100% |
218
290.5 IPS |
|
|
Text Classification (Q)
|
93% |
160
214.2 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (Q)
|
54% |
239
6.73 IPS |
