HUAWEI LIO-L29
Geekbench ML Score
317
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2024 11:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HUAWEI LIO-L29 |
| Model ID | HUAWEI LIO-L29 |
| Motherboard | LIO |
| CPU Information | |
|---|---|
| Name | vendor |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 3 part 3392 revision 0 |
| Base Frequency | 1.86 GHz |
| Cluster 1 | 4 Cores @ 1.86 GHz |
| Cluster 2 | 2 Cores @ 2.09 GHz |
| Cluster 3 | 2 Cores @ 2.86 GHz |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
208
22.2 IPS |
|
|
Image Classification (F16)
|
100% |
222
23.7 IPS |
|
|
Image Classification (I8)
|
81% |
233
25.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
376
2.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
400
2.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
3161
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
214
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
212
0.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
69
0.28 IPS |
|
|
Object Detection (F32)
|
100% |
131
4.61 IPS |
|
|
Object Detection (F16)
|
100% |
1047
36.7 IPS |
|
|
Object Detection (I8)
|
52% |
285
10.0 IPS |
|
|
Face Detection (F32)
|
100% |
256
2.94 IPS |
|
|
Face Detection (F16)
|
100% |
265
3.04 IPS |
|
|
Face Detection (I8)
|
75% |
337
3.87 IPS |
|
|
Text Classification (F32)
|
100% |
578
228.6 IPS |
|
|
Text Classification (F16)
|
100% |
199
78.8 IPS |
|
|
Machine Translation (F32)
|
100% |
458
70.6 IPS |
|
|
Machine Translation (F16)
|
100% |
457
70.5 IPS |
