HUAWEI LIO-N29
Geekbench ML Score
1297
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | March 09 2025 11:44 AM |
| Views | 3 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
733
78.6 IPS |
|
|
Image Classification (F16)
|
100% |
1257
134.7 IPS |
|
|
Image Classification (I8)
|
80% |
1232
132.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1935
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3763
23.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
3820
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
438
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
2136
8.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
2136
8.64 IPS |
|
|
Object Detection (F32)
|
100% |
801
28.1 IPS |
|
|
Object Detection (F16)
|
100% |
1237
43.4 IPS |
|
|
Object Detection (I8)
|
54% |
1202
42.2 IPS |
|
|
Face Detection (F32)
|
100% |
1510
17.3 IPS |
|
|
Face Detection (F16)
|
97% |
2876
33.0 IPS |
|
|
Face Detection (I8)
|
75% |
2557
29.4 IPS |
|
|
Text Classification (F32)
|
100% |
771
305.0 IPS |
|
|
Text Classification (F16)
|
98% |
1030
407.3 IPS |
|
|
Machine Translation (F32)
|
100% |
463
71.4 IPS |
|
|
Machine Translation (F16)
|
100% |
459
70.7 IPS |
