| User | n0idea |
| Upload Date | November 13 2024 12:56 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998U1 |
| 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 | 10.07 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
100% |
1255
233.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1465
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1866
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1744
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
2642
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
83% |
990
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2398
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1641
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1631
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2307
21.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2942
3.82 IPS |
|
|
Style Transfer (HP)
|
89% |
2953
3.83 IPS |
|
|
Style Transfer (Q)
|
98% |
5824
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1401
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.3 IPS |
|
|
Text Classification (HP)
|
100% |
391
521.7 IPS |
|
|
Text Classification (Q)
|
88% |
664
895.0 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |