| User | F0xMaster |
| Upload Date | August 31 2025 01:10 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.33 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
554
103.1 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.4 IPS |
|
|
Image Classification (Q)
|
100% |
1544
287.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
1305
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1793
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1784
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
2374
2.82 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (Q)
|
83% |
795
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (Q)
|
95% |
2006
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1206
9.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
1209
9.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
1897
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2398
3.11 IPS |
|
|
Style Transfer (HP)
|
89% |
2411
3.13 IPS |
|
|
Style Transfer (Q)
|
98% |
4732
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
719
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1177
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.8 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.1 IPS |
|
|
Text Classification (Q)
|
88% |
541
729.0 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.1 IPS |