Xiaomi 11 Lite 5G NE
Geekbench ML Score
351
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 10 2024 03:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
88
16.4 IPS |
|
|
Image Classification (F16)
|
100% |
68
12.7 IPS |
|
|
Image Classification (I8)
|
97% |
236
44.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
248
4.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
251
4.20 IPS |
|
|
Image Segmentation (I8)
|
98% |
323
5.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
402
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
404
0.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
1630
1.97 IPS |
|
|
Object Detection (F32)
|
100% |
189
14.1 IPS |
|
|
Object Detection (F16)
|
100% |
199
14.9 IPS |
|
|
Object Detection (I8)
|
61% |
414
30.9 IPS |
|
|
Face Detection (F32)
|
100% |
444
5.28 IPS |
|
|
Face Detection (F16)
|
100% |
436
5.18 IPS |
|
|
Face Detection (I8)
|
86% |
810
9.63 IPS |
|
|
Depth Estimation (F32)
|
100% |
432
3.35 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.34 IPS |
|
|
Depth Estimation (I8)
|
95% |
855
6.63 IPS |
|
|
Style Transfer (F32)
|
100% |
701
0.92 IPS |
|
|
Style Transfer (F16)
|
100% |
586
0.77 IPS |
|
|
Style Transfer (I8)
|
98% |
1659
2.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
236
8.44 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
236
8.43 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
592
21.2 IPS |
|
|
Text Classification (F32)
|
100% |
218
312.8 IPS |
|
|
Text Classification (F16)
|
100% |
217
311.9 IPS |
|
|
Text Classification (I8)
|
92% |
182
261.3 IPS |
|
|
Machine Translation (F32)
|
100% |
468
8.61 IPS |
|
|
Machine Translation (F16)
|
100% |
480
8.83 IPS |
|
|
Machine Translation (I8)
|
64% |
186
3.42 IPS |
