Xiaomi Mi 11 Lite
Geekbench AI Score
388
Single Precision Score
339
Half Precision Score
738
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 11:03 AM |
| Views | 1 |
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% |
232
43.1 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.4 IPS |
|
|
Image Classification (Q)
|
100% |
500
92.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
747
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1223
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1231
1.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
1729
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
496
40.1 IPS |
|
|
Face Detection (SP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
95% |
921
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1056
8.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
532
4.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
1559
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1200
1.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1209
1.57 IPS |
|
|
Style Transfer (Q)
|
98% |
3226
4.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
305
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
662
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.1 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.8 IPS |
|
|
Text Classification (Q)
|
88% |
286
385.1 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (Q)
|
50% |
171
6.08 IPS |
