Xiaomi Mi 11 Lite
Geekbench AI Score
245
Single Precision Score
247
Half Precision Score
233
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 841Dev |
| Upload Date | June 19 2025 01:07 PM |
| Views | 5 |
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 | 5.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
234
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
97% |
189
35.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
425
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
217
0.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
162
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.59 IPS |
|
|
Object Detection (Q)
|
89% |
110
8.84 IPS |
|
|
Face Detection (SP)
|
100% |
566
6.73 IPS |
|
|
Face Detection (HP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
892
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
581
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
630
4.86 IPS |
|
|
Depth Estimation (Q)
|
62% |
507
4.80 IPS |
|
|
Style Transfer (SP)
|
100% |
1079
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2061
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
1521
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
129
4.79 IPS |
|
|
Text Classification (SP)
|
100% |
48
63.6 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.3 IPS |
|
|
Text Classification (Q)
|
91% |
96
128.7 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.44 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (Q)
|
57% |
76
1.85 IPS |
