| User | UsayedShahid |
| Upload Date | March 25 2026 01:48 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996U1 |
| 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 | 7.19 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.6 IPS |
|
|
Image Classification (Q)
|
99% |
1265
235.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1542
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1740
2.03 IPS |
|
|
Pose Estimation (HP)
|
92% |
3691
4.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
2842
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (HP)
|
97% |
314
25.0 IPS |
|
|
Object Detection (Q)
|
85% |
416
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (HP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (Q)
|
97% |
882
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
98% |
1072
8.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1047
9.66 IPS |
|
|
Style Transfer (SP)
|
89% |
1124
1.46 IPS |
|
|
Style Transfer (HP)
|
88% |
1497
1.94 IPS |
|
|
Style Transfer (Q)
|
98% |
2516
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
580
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
649
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.4 IPS |
|
|
Text Classification (HP)
|
100% |
264
351.9 IPS |
|
|
Text Classification (Q)
|
93% |
270
363.1 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.28 IPS |
|
|
Machine Translation (HP)
|
96% |
351
6.06 IPS |
|
|
Machine Translation (Q)
|
55% |
222
5.96 IPS |