Xiaomi 11 Lite 5G NE
Geekbench AI Score
277
Single Precision Score
440
Half Precision Score
115
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 07:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 778G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 11 Lite 5G NE |
| Model ID | Xiaomi 2109119DG |
| Motherboard | lisa |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM lisa |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.5 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.25 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
254
4.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
903
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3171
3.70 IPS |
|
|
Pose Estimation (Q)
|
98% |
609
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.5 IPS |
|
|
Object Detection (HP)
|
99% |
495
39.3 IPS |
|
|
Object Detection (Q)
|
2% |
8
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (HP)
|
100% |
217
2.57 IPS |
|
|
Face Detection (Q)
|
97% |
474
5.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
343
2.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
185
1.42 IPS |
|
|
Depth Estimation (Q)
|
5% |
35
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1016
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
328
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
908
1.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
250
9.28 IPS |
|
|
Text Classification (SP)
|
100% |
3
3.43 IPS |
|
|
Text Classification (HP)
|
100% |
115
154.0 IPS |
|
|
Text Classification (Q)
|
93% |
30
40.2 IPS |
|
|
Machine Translation (SP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (Q)
|
57% |
174
4.26 IPS |
