| Upload Date | July 16 2022 03:20 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | samsung SM-G965F |
| Model ID | samsung SM-G965F |
| Motherboard | exynos9810 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 2 revision 0 |
| Base Frequency | 1.79 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 4 Cores @ 2.70 GHz |
| Memory Information | |
|---|---|
| Size | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
463
49.6 IPS |
|
|
Image Classification (F16)
|
100% |
460
49.2 IPS |
|
|
Image Classification (I8)
|
80% |
565
60.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
312
1.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
324
2.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
1040
6.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
427
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
426
1.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
283
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
223
7.84 IPS |
|
|
Object Detection (F16)
|
100% |
220
7.74 IPS |
|
|
Object Detection (I8)
|
53% |
266
9.35 IPS |
|
|
Face Detection (F32)
|
100% |
559
6.43 IPS |
|
|
Face Detection (F16)
|
100% |
560
6.43 IPS |
|
|
Face Detection (I8)
|
75% |
929
10.7 IPS |
|
|
Text Classification (F32)
|
100% |
154
61.0 IPS |
|
|
Text Classification (F16)
|
100% |
158
62.5 IPS |
|
|
Machine Translation (F32)
|
100% |
416
64.0 IPS |
|
|
Machine Translation (F16)
|
100% |
399
61.5 IPS |
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