Xiaomi Mi 11 Lite
Geekbench AI Score
314
Single Precision Score
295
Half Precision Score
615
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 841Dev |
| Upload Date | June 19 2025 12:43 PM |
| Views | 8 |
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 | 5.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
100% |
485
90.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
492
7.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
1065
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1209
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
494
39.9 IPS |
|
|
Face Detection (SP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (Q)
|
95% |
851
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
475
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
478
3.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
976
8.94 IPS |
|
|
Style Transfer (SP)
|
89% |
1125
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1119
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2468
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
597
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
158
211.2 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.1 IPS |
|
|
Text Classification (Q)
|
88% |
274
369.5 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
50% |
164
5.81 IPS |
