HUAWEI LIO-N29
Geekbench ML Score
438
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | March 09 2025 11:49 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HUAWEI LIO-N29 |
| Model ID | HUAWEI LIO-N29 |
| Motherboard | LIO |
| CPU Information | |
|---|---|
| Name | vendor |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 3 part 3392 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.36 GHz |
| Cluster 3 | 2 Cores @ 2.86 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
358
38.3 IPS |
|
|
Image Classification (F16)
|
100% |
359
38.5 IPS |
|
|
Image Classification (I8)
|
81% |
241
25.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
534
3.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
536
3.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
3938
24.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
231
0.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
228
0.92 IPS |
|
|
Pose Estimation (I8)
|
80% |
73
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
534
18.7 IPS |
|
|
Object Detection (F16)
|
100% |
3096
108.7 IPS |
|
|
Object Detection (I8)
|
52% |
344
12.1 IPS |
|
|
Face Detection (F32)
|
100% |
517
5.94 IPS |
|
|
Face Detection (F16)
|
100% |
527
6.06 IPS |
|
|
Face Detection (I8)
|
75% |
342
3.93 IPS |
|
|
Text Classification (F32)
|
100% |
587
232.0 IPS |
|
|
Text Classification (F16)
|
100% |
178
70.5 IPS |
|
|
Machine Translation (F32)
|
100% |
460
70.9 IPS |
|
|
Machine Translation (F16)
|
100% |
459
70.7 IPS |
