Xiaomi 11T
Geekbench AI Score
399
Single Precision Score
511
Half Precision Score
530
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 04:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
294
54.7 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.2 IPS |
|
|
Image Classification (Q)
|
99% |
261
48.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
644
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
280
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
339
0.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
337
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
83% |
370
29.9 IPS |
|
|
Face Detection (SP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1479
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
1355
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
518
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
700
5.39 IPS |
|
|
Depth Estimation (Q)
|
62% |
555
5.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1152
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1774
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
1779
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
474
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
191
254.3 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.1 IPS |
|
|
Text Classification (Q)
|
91% |
420
565.0 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.90 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (Q)
|
57% |
317
7.74 IPS |
