Huawei Honor 10 Lite
Geekbench ML Score
94
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2023 11:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Huawei Honor 10 Lite |
| Model ID | HUAWEI HRY-LX1 |
| Motherboard | HRY-L21 |
| CPU Information | |
|---|---|
| Name | ARM vendor |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 4 Cores @ 1.71 GHz |
| Cluster 2 | 4 Cores @ 2.19 GHz |
| Memory Information | |
|---|---|
| Size | 2.63 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
45
4.79 IPS |
|
|
Image Classification (F16)
|
100% |
41
4.38 IPS |
|
|
Image Classification (I8)
|
81% |
119
12.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
156
0.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
152
0.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
207
1.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
61
0.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
61
0.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
37
0.15 IPS |
|
|
Object Detection (F32)
|
100% |
70
2.45 IPS |
|
|
Object Detection (F16)
|
100% |
61
2.16 IPS |
|
|
Object Detection (I8)
|
52% |
147
5.16 IPS |
|
|
Face Detection (F32)
|
100% |
112
1.28 IPS |
|
|
Face Detection (F16)
|
100% |
114
1.31 IPS |
|
|
Face Detection (I8)
|
75% |
158
1.82 IPS |
|
|
Text Classification (F32)
|
100% |
160
63.5 IPS |
|
|
Text Classification (F16)
|
100% |
161
63.6 IPS |
|
|
Machine Translation (F32)
|
100% |
87
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
88
13.5 IPS |
