| User | 46fy45 |
| Upload Date | January 14 2026 04:55 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
100% |
1358
252.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
1563
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2255
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2250
2.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
3309
3.92 IPS |
|
|
Object Detection (SP)
|
100% |
467
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.0 IPS |
|
|
Object Detection (Q)
|
83% |
1319
106.5 IPS |
|
|
Face Detection (SP)
|
100% |
1417
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1415
16.8 IPS |
|
|
Face Detection (Q)
|
95% |
3162
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1828
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1834
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3065
28.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3669
4.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3649
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
7742
9.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1849
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
505
674.0 IPS |
|
|
Text Classification (HP)
|
100% |
490
654.0 IPS |
|
|
Text Classification (Q)
|
88% |
851
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
492
17.5 IPS |