Xiaomi 11T Pro
Geekbench AI Score
826
Single Precision Score
823
Half Precision Score
1362
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 04:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 11T Pro |
| Model ID | Xiaomi 2107113SG |
| Motherboard | vili |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Odin |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (Q)
|
100% |
1306
242.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1514
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1844
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1816
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
2802
3.32 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (Q)
|
83% |
1164
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1312
15.6 IPS |
|
|
Face Detection (Q)
|
95% |
2796
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1746
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1715
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2641
24.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3068
3.98 IPS |
|
|
Style Transfer (HP)
|
89% |
3109
4.04 IPS |
|
|
Style Transfer (Q)
|
98% |
6304
8.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1529
56.7 IPS |
|
|
Text Classification (SP)
|
100% |
482
642.7 IPS |
|
|
Text Classification (HP)
|
100% |
504
672.8 IPS |
|
|
Text Classification (Q)
|
88% |
289
389.6 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (Q)
|
50% |
166
5.90 IPS |
