| User | Angus72 |
| Upload Date | September 17 2024 01:45 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998B |
| 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 | 14.25 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
520
96.6 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (Q)
|
100% |
1086
202.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
470
7.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1328
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1831
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1560
1.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
2125
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
87% |
808
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
928
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
2093
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1314
10.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
1202
9.26 IPS |
|
|
Depth Estimation (Q)
|
75% |
2187
17.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2405
3.12 IPS |
|
|
Style Transfer (HP)
|
89% |
2435
3.16 IPS |
|
|
Style Transfer (Q)
|
98% |
4712
6.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1180
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
298
398.0 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.9 IPS |
|
|
Text Classification (Q)
|
88% |
536
723.5 IPS |
|
|
Machine Translation (SP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
50% |
322
11.4 IPS |