Xiaomi 11T
Geekbench AI Score
934
Single Precision Score
921
Half Precision Score
1922
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 04:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 1200 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 11T |
| Model ID | Xiaomi 21081111RG |
| Motherboard | amber |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
438
81.4 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
100% |
1415
263.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1585
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2043
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3673
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
83% |
1335
107.9 IPS |
|
|
Face Detection (SP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (Q)
|
95% |
3405
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1497
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1572
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2394
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3509
4.56 IPS |
|
|
Style Transfer (HP)
|
89% |
3598
4.67 IPS |
|
|
Style Transfer (Q)
|
98% |
8013
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
944
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2039
75.6 IPS |
|
|
Text Classification (SP)
|
100% |
520
694.2 IPS |
|
|
Text Classification (HP)
|
100% |
488
651.2 IPS |
|
|
Text Classification (Q)
|
88% |
1062
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
443
15.7 IPS |
