Xiaomi Mi 10T Pro 5G
Geekbench AI Score
805
Single Precision Score
786
Half Precision Score
1343
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Pretorian26 |
| Upload Date | August 26 2025 10:48 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Mi 10T Pro 5G |
| Model ID | Xiaomi M2007J3SG |
| 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% |
470
87.3 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
100% |
1139
211.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1218
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1937
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
2750
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
83% |
943
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1093
13.0 IPS |
|
|
Face Detection (Q)
|
95% |
2013
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1394
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1174
9.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
2043
18.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2747
3.57 IPS |
|
|
Style Transfer (HP)
|
89% |
2747
3.57 IPS |
|
|
Style Transfer (Q)
|
98% |
5142
6.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
757
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
744
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1251
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
340
454.3 IPS |
|
|
Text Classification (HP)
|
100% |
341
454.8 IPS |
|
|
Text Classification (Q)
|
88% |
559
754.1 IPS |
|
|
Machine Translation (SP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (Q)
|
50% |
361
12.8 IPS |
