Xiaomi Mi 11 Lite
Geekbench AI Score
184
Single Precision Score
182
Half Precision Score
6731
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 841Dev |
| Upload Date | June 19 2025 02:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
99% |
5505
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
4441
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
30212
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
101
8.01 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.05 IPS |
|
|
Object Detection (Q)
|
88% |
2429
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
263
3.13 IPS |
|
|
Face Detection (HP)
|
100% |
267
3.18 IPS |
|
|
Face Detection (Q)
|
97% |
15124
180.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
228
1.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
224
1.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
15244
140.3 IPS |
|
|
Style Transfer (SP)
|
100% |
352
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
383
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
64948
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13380
495.8 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.3 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.7 IPS |
|
|
Text Classification (Q)
|
94% |
1955
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (Q)
|
50% |
272
9.42 IPS |
