Xiaomi 11 Lite 5G NE
Geekbench AI Score
733
Single Precision Score
723
Half Precision Score
1462
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ciol30 |
| Upload Date | February 23 2025 04:10 AM |
| Views | 6 |
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 | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
100% |
1404
261.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1485
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1642
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1582
1.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
2525
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
337
26.8 IPS |
|
|
Object Detection (Q)
|
83% |
995
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (Q)
|
95% |
2391
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1325
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1308
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2340
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2789
3.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2795
3.63 IPS |
|
|
Style Transfer (Q)
|
98% |
5936
7.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1272
47.2 IPS |
|
|
Text Classification (SP)
|
100% |
327
436.7 IPS |
|
|
Text Classification (HP)
|
100% |
322
430.4 IPS |
|
|
Text Classification (Q)
|
88% |
597
805.8 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.31 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
