Xiaomi 11 Lite 5G NE
Geekbench AI Score
655
Single Precision Score
723
Half Precision Score
1503
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 19 2025 06:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 778G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
110
20.5 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.6 IPS |
|
|
Image Classification (Q)
|
100% |
1239
230.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1358
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1620
1.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
2569
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.2 IPS |
|
|
Object Detection (Q)
|
83% |
1013
81.8 IPS |
|
|
Face Detection (SP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
95% |
2466
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1350
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1379
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2381
21.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2800
3.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2802
3.64 IPS |
|
|
Style Transfer (Q)
|
98% |
5981
7.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
761
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
765
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1432
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
362
483.8 IPS |
|
|
Text Classification (HP)
|
100% |
365
486.8 IPS |
|
|
Text Classification (Q)
|
88% |
688
927.5 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
390
13.9 IPS |
