Xiaomi Mi 10T 5G
Geekbench AI Score
372
Single Precision Score
598
Half Precision Score
620
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | allanburk |
| Upload Date | December 30 2024 03:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
249
46.3 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
97% |
382
71.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
614
9.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
741
0.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
758
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
277
21.9 IPS |
|
|
Object Detection (Q)
|
89% |
254
20.3 IPS |
|
|
Face Detection (SP)
|
100% |
584
6.94 IPS |
|
|
Face Detection (HP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
1189
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
575
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
1106
8.54 IPS |
|
|
Depth Estimation (Q)
|
62% |
914
8.65 IPS |
|
|
Style Transfer (SP)
|
100% |
1103
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2846
3.66 IPS |
|
|
Style Transfer (Q)
|
98% |
2817
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
538
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.7 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.6 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.9 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
57% |
304
7.44 IPS |
