Xiaomi 11T Pro
Geekbench AI Score
351
Single Precision Score
395
Half Precision Score
49
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 17 2024 09:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
970
180.4 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
86
1.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
1818
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
6957
8.12 IPS |
|
|
Pose Estimation (Q)
|
98% |
267
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
893
70.9 IPS |
|
|
Object Detection (Q)
|
2% |
8
198.4 IPS |
|
|
Face Detection (SP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (Q)
|
97% |
202
2.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
177
1.36 IPS |
|
|
Depth Estimation (HP)
|
100% |
75
0.57 IPS |
|
|
Depth Estimation (Q)
|
4% |
28
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
666
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
136
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
995
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3051
112.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.49 IPS |
|
|
Text Classification (SP)
|
100% |
4
4.92 IPS |
|
|
Text Classification (HP)
|
100% |
56
74.8 IPS |
|
|
Text Classification (Q)
|
93% |
27
35.7 IPS |
|
|
Machine Translation (SP)
|
100% |
95
1.64 IPS |
|
|
Machine Translation (HP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (Q)
|
57% |
78
1.90 IPS |
