Huawei P smart 2019
Geekbench ML Score
128
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 16 2025 12:38 PM |
| 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 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
68
7.24 IPS |
|
|
Image Classification (F16)
|
100% |
66
7.05 IPS |
|
|
Image Classification (I8)
|
81% |
94
10.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
192
1.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
1.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
450
2.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
143
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
94
3.30 IPS |
|
|
Object Detection (F16)
|
100% |
93
3.25 IPS |
|
|
Object Detection (I8)
|
52% |
162
5.70 IPS |
|
|
Face Detection (F32)
|
100% |
164
1.88 IPS |
|
|
Face Detection (F16)
|
100% |
166
1.91 IPS |
|
|
Face Detection (I8)
|
75% |
256
2.94 IPS |
|
|
Text Classification (F32)
|
100% |
151
59.8 IPS |
|
|
Text Classification (F16)
|
100% |
151
59.9 IPS |
|
|
Machine Translation (F32)
|
100% |
86
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
86
13.3 IPS |
