| Upload Date | December 08 2022 06:33 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A536U |
| Model ID | samsung SM-A536U |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.26 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
130
14.0 IPS |
|
|
Image Classification (F16)
|
100% |
66
7.12 IPS |
|
|
Image Classification (I8)
|
81% |
168
18.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
368
2.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
376
2.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
527
3.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
135
0.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
215
7.56 IPS |
|
|
Object Detection (F16)
|
100% |
219
7.69 IPS |
|
|
Object Detection (I8)
|
52% |
241
8.44 IPS |
|
|
Face Detection (F32)
|
100% |
338
3.88 IPS |
|
|
Face Detection (F16)
|
100% |
333
3.82 IPS |
|
|
Face Detection (I8)
|
75% |
362
4.16 IPS |
|
|
Text Classification (F32)
|
100% |
332
131.2 IPS |
|
|
Text Classification (F16)
|
100% |
333
131.8 IPS |
|
|
Machine Translation (F32)
|
100% |
367
56.5 IPS |
|
|
Machine Translation (F16)
|
100% |
369
56.8 IPS |
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