Xiaomi Mi 11 Lite
Geekbench AI Score
759
Single Precision Score
681
Half Precision Score
1344
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 08:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (Q)
|
100% |
1359
252.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
1591
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1712
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1681
1.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
2982
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (Q)
|
83% |
1168
94.4 IPS |
|
|
Face Detection (SP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
2492
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1467
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1405
10.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2389
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2893
3.76 IPS |
|
|
Style Transfer (HP)
|
89% |
2892
3.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6022
7.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
863
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1440
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
443
590.8 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.4 IPS |
|
|
Text Classification (Q)
|
88% |
294
395.9 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (Q)
|
50% |
169
5.99 IPS |
