Xiaomi Mi 10T Pro 5G
Geekbench AI Score
691
Single Precision Score
1169
Half Precision Score
1084
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Pretorian26 |
| Upload Date | August 26 2025 10:57 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.5 IPS |
|
|
Image Classification (Q)
|
99% |
758
141.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1400
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3350
3.91 IPS |
|
|
Pose Estimation (HP)
|
99% |
5862
6.84 IPS |
|
|
Pose Estimation (Q)
|
97% |
5619
6.58 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (HP)
|
99% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
85% |
538
43.3 IPS |
|
|
Face Detection (SP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
2664
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
2225
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1529
11.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2268
17.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1917
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3793
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
7960
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7794
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1289
47.8 IPS |
|
|
Text Classification (SP)
|
35% |
26
254.4 IPS |
|
|
Text Classification (HP)
|
35% |
42
382.0 IPS |
|
|
Text Classification (Q)
|
35% |
45
409.9 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
97% |
478
8.27 IPS |
|
|
Machine Translation (Q)
|
64% |
364
7.49 IPS |
