Xiaomi Mi 11 Lite
Geekbench AI Score
356
Single Precision Score
310
Half Precision Score
703
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 04 2025 11:29 AM |
| Views | 3 |
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% |
171
31.8 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (Q)
|
100% |
487
90.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
785
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1050
1.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
1636
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
474
38.3 IPS |
|
|
Face Detection (SP)
|
100% |
683
8.11 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
95% |
880
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
485
3.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
482
3.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1067
9.77 IPS |
|
|
Style Transfer (SP)
|
89% |
1167
1.52 IPS |
|
|
Style Transfer (HP)
|
89% |
1180
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3567
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
650
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.7 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.7 IPS |
|
|
Text Classification (Q)
|
88% |
277
373.0 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (Q)
|
50% |
167
5.93 IPS |
