Xiaomi 11T
Geekbench AI Score
956
Single Precision Score
960
Half Precision Score
1925
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | iClondike |
| Upload Date | December 28 2024 12:14 PM |
| 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% |
478
88.9 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.5 IPS |
|
|
Image Classification (Q)
|
100% |
1542
286.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1697
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2040
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2009
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3660
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
83% |
1357
109.6 IPS |
|
|
Face Detection (SP)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (Q)
|
95% |
3168
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1623
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1634
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3294
30.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3546
4.60 IPS |
|
|
Style Transfer (HP)
|
89% |
3491
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
7745
9.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1790
66.3 IPS |
|
|
Text Classification (SP)
|
100% |
443
590.9 IPS |
|
|
Text Classification (HP)
|
100% |
463
617.4 IPS |
|
|
Text Classification (Q)
|
88% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.8 IPS |
