Xiaomi Mi 11 Lite
Geekbench AI Score
264
Single Precision Score
274
Half Precision Score
271
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 04 2025 01:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
97% |
188
35.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
218
3.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
427
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
217
0.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
213
0.25 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.1 IPS |
|
|
Object Detection (Q)
|
89% |
163
13.1 IPS |
|
|
Face Detection (SP)
|
100% |
687
8.17 IPS |
|
|
Face Detection (HP)
|
100% |
958
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
861
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
582
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
626
4.84 IPS |
|
|
Depth Estimation (Q)
|
62% |
508
4.81 IPS |
|
|
Style Transfer (SP)
|
100% |
1082
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2063
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
2092
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
227
8.43 IPS |
|
|
Text Classification (SP)
|
100% |
48
64.1 IPS |
|
|
Text Classification (HP)
|
100% |
49
64.8 IPS |
|
|
Text Classification (Q)
|
91% |
96
128.6 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.46 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.89 IPS |
