| Upload Date | December 08 2022 11:34 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A035M |
| Model ID | samsung SM-A035M |
| Motherboard | ums9230_25c10 |
| 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 | 3.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
99
10.6 IPS |
|
|
Image Classification (F16)
|
100% |
206
22.0 IPS |
|
|
Image Classification (I8)
|
80% |
193
20.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
191
1.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
379
2.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
367
2.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
77
0.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
181
0.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
181
0.73 IPS |
|
|
Object Detection (F32)
|
100% |
112
3.94 IPS |
|
|
Object Detection (F16)
|
100% |
201
7.05 IPS |
|
|
Object Detection (I8)
|
54% |
197
6.91 IPS |
|
|
Face Detection (F32)
|
100% |
223
2.56 IPS |
|
|
Face Detection (F16)
|
97% |
465
5.34 IPS |
|
|
Face Detection (I8)
|
75% |
430
4.93 IPS |
|
|
Text Classification (F32)
|
100% |
184
72.8 IPS |
|
|
Text Classification (F16)
|
98% |
313
123.8 IPS |
|
|
Machine Translation (F32)
|
100% |
117
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
111
17.0 IPS |
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