Xiaomi Mi 10T 5G
Geekbench AI Score
1050
Single Precision Score
1046
Half Precision Score
1925
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | allanburk |
| Upload Date | December 30 2024 03:02 PM |
| Views | 3 |
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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
473
88.0 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
100% |
1334
248.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1548
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2288
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2294
2.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
3526
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
485
38.4 IPS |
|
|
Object Detection (Q)
|
83% |
1330
107.4 IPS |
|
|
Face Detection (SP)
|
100% |
1504
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (Q)
|
95% |
3128
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1950
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1947
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3209
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4003
5.20 IPS |
|
|
Style Transfer (HP)
|
89% |
3999
5.19 IPS |
|
|
Style Transfer (Q)
|
98% |
8089
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1926
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
512
684.0 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.4 IPS |
|
|
Text Classification (Q)
|
88% |
905
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
512
18.2 IPS |
