| Upload Date | January 25 2023 09:37 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-G975F |
| Model ID | samsung SM-G975F |
| Motherboard | exynos9820 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.31 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
149
15.9 IPS |
|
|
Image Classification (F16)
|
100% |
111
11.9 IPS |
|
|
Image Classification (I8)
|
81% |
152
16.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
312
1.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
336
2.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
621
3.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
172
0.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
168
0.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
142
4.98 IPS |
|
|
Object Detection (F16)
|
100% |
139
4.89 IPS |
|
|
Object Detection (I8)
|
52% |
228
8.00 IPS |
|
|
Face Detection (F32)
|
100% |
304
3.49 IPS |
|
|
Face Detection (F16)
|
100% |
349
4.00 IPS |
|
|
Face Detection (I8)
|
75% |
389
4.47 IPS |
|
|
Text Classification (F32)
|
100% |
227
89.9 IPS |
|
|
Text Classification (F16)
|
100% |
198
78.4 IPS |
|
|
Machine Translation (F32)
|
100% |
584
90.0 IPS |
|
|
Machine Translation (F16)
|
100% |
575
88.7 IPS |
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