Xiaomi Mi 10T Pro 5G
Geekbench AI Score
411
Single Precision Score
486
Half Precision Score
1370
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
437
81.3 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.6 IPS |
|
|
Image Classification (Q)
|
97% |
1357
253.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1241
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1434
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
5397
6.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
11424
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
85% |
1631
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (Q)
|
97% |
3642
43.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
481
3.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
289
2.23 IPS |
|
|
Depth Estimation (Q)
|
22% |
264
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
741
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
3893
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
746
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5325
197.3 IPS |
|
|
Text Classification (SP)
|
71% |
10
14.6 IPS |
|
|
Text Classification (HP)
|
100% |
207
276.8 IPS |
|
|
Text Classification (Q)
|
93% |
160
214.8 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (Q)
|
54% |
234
6.59 IPS |
