| Upload Date | December 09 2022 05:20 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996N |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.03 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
378
40.5 IPS |
|
|
Image Classification (F16)
|
100% |
367
39.4 IPS |
|
|
Image Classification (I8)
|
81% |
384
41.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
618
3.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
596
3.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
1730
10.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
532
2.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
1802
7.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
1991
8.06 IPS |
|
|
Object Detection (F32)
|
100% |
562
19.7 IPS |
|
|
Object Detection (F16)
|
99% |
916
32.1 IPS |
|
|
Object Detection (I8)
|
52% |
432
15.1 IPS |
|
|
Face Detection (F32)
|
100% |
529
6.08 IPS |
|
|
Face Detection (F16)
|
100% |
529
6.08 IPS |
|
|
Face Detection (I8)
|
75% |
520
5.97 IPS |
|
|
Text Classification (F32)
|
100% |
953
377.0 IPS |
|
|
Text Classification (F16)
|
100% |
978
386.7 IPS |
|
|
Machine Translation (F32)
|
100% |
687
105.9 IPS |
|
|
Machine Translation (F16)
|
100% |
686
105.7 IPS |
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