Xiaomi 11T
Geekbench AI Score
722
Single Precision Score
690
Half Precision Score
1383
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cifra45 |
| Upload Date | December 28 2024 04:03 PM |
| Views | 3 |
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% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
100% |
1266
235.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1277
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1511
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1515
1.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
2506
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
83% |
773
62.4 IPS |
|
|
Face Detection (SP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
942
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
2205
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1071
8.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
1150
8.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
2229
20.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2744
3.56 IPS |
|
|
Style Transfer (HP)
|
89% |
2733
3.55 IPS |
|
|
Style Transfer (Q)
|
98% |
5803
7.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
703
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1354
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
344
458.7 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.6 IPS |
|
|
Text Classification (Q)
|
88% |
630
849.2 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
50% |
336
11.9 IPS |
