Xiaomi 11T
Geekbench AI Score
1021
Single Precision Score
1007
Half Precision Score
2073
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | iClondike |
| Upload Date | December 28 2024 10:53 AM |
| Views | 2 |
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% |
496
92.2 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
100% |
1528
284.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1782
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2161
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2053
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3797
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (Q)
|
83% |
1337
108.0 IPS |
|
|
Face Detection (SP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1393
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
3448
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1860
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1852
14.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3412
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3833
4.98 IPS |
|
|
Style Transfer (HP)
|
89% |
3914
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
8357
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2060
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
488
650.9 IPS |
|
|
Text Classification (HP)
|
100% |
499
665.8 IPS |
|
|
Text Classification (Q)
|
88% |
1035
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
