| User | Willbeonekenobi |
| Upload Date | November 13 2025 09:29 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1280 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy A33 |
| Model ID | samsung SM-A336E |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.26 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
100% |
496
92.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
567
9.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
795
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
772
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1202
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
83% |
486
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
505
6.01 IPS |
|
|
Face Detection (HP)
|
100% |
502
5.96 IPS |
|
|
Face Detection (Q)
|
95% |
1169
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
654
5.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
648
4.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1138
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1383
1.79 IPS |
|
|
Style Transfer (HP)
|
89% |
1367
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2860
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
342
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
691
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.2 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.9 IPS |
|
|
Text Classification (Q)
|
88% |
393
529.5 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (Q)
|
50% |
251
8.90 IPS |