| Upload Date | August 11 2024 11:45 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991B |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
97% |
332
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
418
6.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
133
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
353
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
350
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
92% |
519
41.4 IPS |
|
|
Face Detection (SP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
1930
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
581
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
768
5.92 IPS |
|
|
Depth Estimation (Q)
|
72% |
712
5.90 IPS |
|
|
Style Transfer (SP)
|
100% |
1237
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2129
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2125
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
636
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.5 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.3 IPS |
|
|
Text Classification (Q)
|
91% |
492
661.8 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (Q)
|
57% |
372
9.10 IPS |