| Upload Date | December 09 2022 05:44 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A127F |
| Model ID | samsung SM-A127F |
| Motherboard | exynos850 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3333 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.62 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
61
6.49 IPS |
|
|
Image Classification (F16)
|
100% |
64
6.80 IPS |
|
|
Image Classification (I8)
|
81% |
323
34.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
141
0.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
141
0.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
565
3.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
73
0.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
112
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
92
3.24 IPS |
|
|
Object Detection (F16)
|
100% |
101
3.55 IPS |
|
|
Object Detection (I8)
|
52% |
256
9.00 IPS |
|
|
Face Detection (F32)
|
100% |
159
1.82 IPS |
|
|
Face Detection (F16)
|
100% |
158
1.81 IPS |
|
|
Face Detection (I8)
|
75% |
481
5.53 IPS |
|
|
Text Classification (F32)
|
100% |
72
28.4 IPS |
|
|
Text Classification (F16)
|
100% |
72
28.4 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.96 IPS |
|
|
Machine Translation (F16)
|
100% |
19
2.95 IPS |
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