Huawei P smart 2019
Geekbench ML Score
106
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 01 2023 03:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Huawei P smart 2019 |
| Model ID | HUAWEI POT-LX1 |
| Motherboard | POT-L21 |
| CPU Information | |
|---|---|
| Name | ARM Hisilicon |
| 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 | 2.62 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
75
8.01 IPS |
|
|
Image Classification (F16)
|
100% |
65
6.93 IPS |
|
|
Image Classification (I8)
|
81% |
89
9.54 IPS |
|
|
Image Segmentation (F32)
|
100% |
133
0.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
140
0.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
340
2.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
65
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
62
0.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
94
3.30 IPS |
|
|
Object Detection (F16)
|
100% |
92
3.24 IPS |
|
|
Object Detection (I8)
|
52% |
138
4.84 IPS |
|
|
Face Detection (F32)
|
100% |
136
1.56 IPS |
|
|
Face Detection (F16)
|
100% |
135
1.55 IPS |
|
|
Face Detection (I8)
|
75% |
244
2.80 IPS |
|
|
Text Classification (F32)
|
100% |
106
41.7 IPS |
|
|
Text Classification (F16)
|
100% |
107
42.4 IPS |
|
|
Machine Translation (F32)
|
100% |
71
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
73
11.2 IPS |
