Xiaomi Mi 10T 5G
Geekbench AI Score
1156
Single Precision Score
2052
Half Precision Score
2223
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | explorer1024 |
| Upload Date | April 15 2026 05:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (HP)
|
100% |
1010
187.7 IPS |
|
|
Image Classification (Q)
|
99% |
1498
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1286
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1718
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2481
2.89 IPS |
|
|
Pose Estimation (HP)
|
92% |
5222
6.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
3864
4.53 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
97% |
1017
81.0 IPS |
|
|
Object Detection (Q)
|
85% |
1476
118.9 IPS |
|
|
Face Detection (SP)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (Q)
|
97% |
3494
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1926
14.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3913
30.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3500
32.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4360
5.66 IPS |
|
|
Style Transfer (HP)
|
88% |
6072
7.88 IPS |
|
|
Style Transfer (Q)
|
98% |
8959
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1193
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2199
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2148
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
596
794.9 IPS |
|
|
Text Classification (HP)
|
100% |
948
1.27 KIPS |
|
|
Text Classification (Q)
|
93% |
990
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1289
22.3 IPS |
|
|
Machine Translation (Q)
|
55% |
863
23.2 IPS |
