| User | roberotto |
| Upload Date | October 11 2025 02:42 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
626
116.4 IPS |
|
|
Image Classification (HP)
|
100% |
1233
229.4 IPS |
|
|
Image Classification (Q)
|
97% |
1285
239.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2608
42.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2154
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4805
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
10303
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9821
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (HP)
|
99% |
921
73.1 IPS |
|
|
Object Detection (Q)
|
83% |
1036
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
1915
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (Q)
|
96% |
3258
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2950
22.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4329
33.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
3368
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8696
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16639
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16314
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2918
108.1 IPS |
|
|
Text Classification (SP)
|
35% |
37
332.7 IPS |
|
|
Text Classification (HP)
|
29% |
28
476.6 IPS |
|
|
Text Classification (Q)
|
29% |
27
458.3 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
43% |
152
8.85 IPS |