| Upload Date | December 08 2022 11:25 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 | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
110
11.8 IPS |
|
|
Image Classification (F16)
|
100% |
110
11.8 IPS |
|
|
Image Classification (I8)
|
81% |
219
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
224
1.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
224
1.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
502
3.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
97
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
95
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
153
5.37 IPS |
|
|
Object Detection (F16)
|
100% |
155
5.43 IPS |
|
|
Object Detection (I8)
|
52% |
271
9.52 IPS |
|
|
Face Detection (F32)
|
100% |
220
2.53 IPS |
|
|
Face Detection (F16)
|
100% |
218
2.51 IPS |
|
|
Face Detection (I8)
|
75% |
385
4.42 IPS |
|
|
Text Classification (F32)
|
100% |
134
53.0 IPS |
|
|
Text Classification (F16)
|
100% |
135
53.3 IPS |
|
|
Machine Translation (F32)
|
100% |
110
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
110
16.9 IPS |
Compare
Set Baseline