| User | PeterFan |
| Upload Date | October 06 2025 08:51 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G9980 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 13.96 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
373
69.4 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.4 IPS |
|
|
Image Classification (Q)
|
100% |
995
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
458
7.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
452
7.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1166
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1736
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1749
2.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
2461
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
83% |
1010
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2422
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1597
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2324
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2921
3.79 IPS |
|
|
Style Transfer (HP)
|
89% |
2688
3.49 IPS |
|
|
Style Transfer (Q)
|
98% |
5318
6.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
829
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1217
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
348
465.0 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.7 IPS |
|
|
Text Classification (Q)
|
88% |
271
364.9 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.02 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.34 IPS |