Xiaomi Mi 11 Lite
Geekbench AI Score
245
Single Precision Score
268
Half Precision Score
133
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 04 2025 02:18 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 780G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Mi 11 Lite |
| Model ID | Xiaomi M2101K9G |
| Motherboard | renoir |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Renoir |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 3 Cores @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.6 IPS |
|
|
Image Classification (Q)
|
99% |
91
17.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
1129
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3852
4.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
249
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (HP)
|
99% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
87% |
95
7.62 IPS |
|
|
Face Detection (SP)
|
100% |
774
9.19 IPS |
|
|
Face Detection (HP)
|
100% |
75
0.90 IPS |
|
|
Face Detection (Q)
|
97% |
196
2.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
163
1.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
67
0.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
171
1.55 IPS |
|
|
Style Transfer (SP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
127
0.16 IPS |
|
|
Style Transfer (Q)
|
98% |
364
0.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
140
5.20 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.36 IPS |
|
|
Text Classification (HP)
|
100% |
48
64.5 IPS |
|
|
Text Classification (Q)
|
91% |
80
108.0 IPS |
|
|
Machine Translation (SP)
|
100% |
91
1.56 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (Q)
|
57% |
73
1.77 IPS |
