ZTE ZTE A7050
Geekbench ML Score
156
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2023 03:13 PM |
| Views | 46 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | ZTE ZTE A7050 |
| Model ID | ZTE ZTE A7050 |
| Motherboard | ums9230_4h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 2.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
96
10.3 IPS |
|
|
Image Classification (F16)
|
100% |
97
10.4 IPS |
|
|
Image Classification (I8)
|
81% |
218
23.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
215
1.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
220
1.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
502
3.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
74
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
70
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
110
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
147
5.18 IPS |
|
|
Object Detection (F16)
|
100% |
150
5.28 IPS |
|
|
Object Detection (I8)
|
52% |
255
8.93 IPS |
|
|
Face Detection (F32)
|
100% |
204
2.35 IPS |
|
|
Face Detection (F16)
|
100% |
198
2.27 IPS |
|
|
Face Detection (I8)
|
75% |
359
4.12 IPS |
|
|
Text Classification (F32)
|
100% |
136
53.6 IPS |
|
|
Text Classification (F16)
|
100% |
136
53.9 IPS |
|
|
Machine Translation (F32)
|
100% |
108
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
108
16.6 IPS |
