Xiaomi 11T
Geekbench AI Score
999
Single Precision Score
997
Half Precision Score
2064
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cifra45 |
| Upload Date | December 28 2024 03:16 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% |
448
83.3 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
100% |
1462
271.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1635
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2135
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
3803
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (Q)
|
83% |
1364
110.2 IPS |
|
|
Face Detection (SP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1428
17.0 IPS |
|
|
Face Detection (Q)
|
95% |
3452
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1836
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1758
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3465
31.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3879
5.04 IPS |
|
|
Style Transfer (HP)
|
89% |
3893
5.05 IPS |
|
|
Style Transfer (Q)
|
98% |
8459
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2101
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
514
686.7 IPS |
|
|
Text Classification (HP)
|
100% |
487
649.8 IPS |
|
|
Text Classification (Q)
|
88% |
1070
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
499
17.7 IPS |
