Xiaomi 11T Pro
Geekbench AI Score
435
Single Precision Score
774
Half Precision Score
98
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 10:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.5 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.29 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
412
6.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
1723
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
1096
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
99% |
978
77.6 IPS |
|
|
Object Detection (Q)
|
2% |
11
267.8 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (Q)
|
97% |
821
9.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
583
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
299
2.30 IPS |
|
|
Depth Estimation (Q)
|
5% |
36
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1752
2.25 IPS |
|
|
Style Transfer (HP)
|
100% |
494
0.63 IPS |
|
|
Style Transfer (Q)
|
18% |
12
0.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3199
118.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.46 IPS |
|
|
Text Classification (SP)
|
100% |
2
3.22 IPS |
|
|
Text Classification (HP)
|
100% |
148
197.9 IPS |
|
|
Text Classification (Q)
|
93% |
35
47.0 IPS |
|
|
Machine Translation (SP)
|
100% |
171
2.94 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.03 IPS |
|
|
Machine Translation (Q)
|
57% |
310
7.59 IPS |
