Xiaomi 11 Lite 5G NE
Geekbench ML Score
546
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 02 2026 03:48 PM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 11 Lite 5G NE |
| Model ID | Xiaomi 2109119DI |
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
261
48.9 IPS |
|
|
Image Classification (F16)
|
100% |
260
48.6 IPS |
|
|
Image Classification (I8)
|
97% |
627
117.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
347
5.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
341
5.69 IPS |
|
|
Image Segmentation (I8)
|
98% |
507
8.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
518
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
517
0.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
2724
3.30 IPS |
|
|
Object Detection (F32)
|
100% |
278
20.7 IPS |
|
|
Object Detection (F16)
|
100% |
276
20.6 IPS |
|
|
Object Detection (I8)
|
61% |
810
60.4 IPS |
|
|
Face Detection (F32)
|
100% |
489
5.81 IPS |
|
|
Face Detection (F16)
|
100% |
495
5.88 IPS |
|
|
Face Detection (I8)
|
86% |
1520
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
515
3.99 IPS |
|
|
Depth Estimation (F16)
|
100% |
519
4.03 IPS |
|
|
Depth Estimation (I8)
|
95% |
1417
11.0 IPS |
|
|
Style Transfer (F32)
|
100% |
874
1.15 IPS |
|
|
Style Transfer (F16)
|
100% |
882
1.16 IPS |
|
|
Style Transfer (I8)
|
98% |
2262
2.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
336
12.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
315
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1310
46.8 IPS |
|
|
Text Classification (F32)
|
100% |
333
479.1 IPS |
|
|
Text Classification (F16)
|
100% |
348
499.8 IPS |
|
|
Text Classification (I8)
|
92% |
290
416.5 IPS |
|
|
Machine Translation (F32)
|
100% |
611
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
608
11.2 IPS |
|
|
Machine Translation (I8)
|
64% |
283
5.22 IPS |
