Xiaomi 11T
Geekbench AI Score
1024
Single Precision Score
1011
Half Precision Score
2115
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | iClondike |
| Upload Date | December 28 2024 11:34 AM |
| Views | 4 |
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% |
481
89.5 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.8 IPS |
|
|
Image Classification (Q)
|
100% |
1545
287.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1683
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2211
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2133
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
3913
4.64 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
83% |
1368
110.5 IPS |
|
|
Face Detection (SP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1414
16.8 IPS |
|
|
Face Detection (Q)
|
95% |
3502
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1874
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1755
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3495
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3903
5.07 IPS |
|
|
Style Transfer (HP)
|
89% |
3916
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
8789
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2127
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
493
658.2 IPS |
|
|
Text Classification (HP)
|
100% |
515
687.3 IPS |
|
|
Text Classification (Q)
|
88% |
1090
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
769
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
518
18.4 IPS |
