Xiaomi 11T Pro
Geekbench AI Score
666
Single Precision Score
643
Half Precision Score
1122
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 02:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
379
70.5 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
100% |
1012
188.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1155
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1411
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1556
1.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
2374
2.82 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.9 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
1058
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2534
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1506
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1491
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2314
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2806
3.64 IPS |
|
|
Style Transfer (HP)
|
89% |
2785
3.62 IPS |
|
|
Style Transfer (Q)
|
98% |
5751
7.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
875
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
645
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
178
238.3 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.3 IPS |
|
|
Text Classification (Q)
|
88% |
290
390.8 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
50% |
172
6.09 IPS |
