| User | UsayedShahid |
| Upload Date | March 25 2026 04:15 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
832
154.7 IPS |
|
|
Image Classification (HP)
|
100% |
1268
235.8 IPS |
|
|
Image Classification (Q)
|
99% |
1155
215.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2101
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4932
5.75 IPS |
|
|
Pose Estimation (HP)
|
99% |
8570
10.00 IPS |
|
|
Pose Estimation (Q)
|
97% |
8525
9.98 IPS |
|
|
Object Detection (SP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (HP)
|
99% |
1172
93.0 IPS |
|
|
Object Detection (Q)
|
85% |
1058
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (Q)
|
97% |
3466
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2570
19.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3780
29.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3107
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6271
8.06 IPS |
|
|
Style Transfer (HP)
|
100% |
12619
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
12502
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1388
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2258
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2180
80.8 IPS |
|
|
Text Classification (SP)
|
35% |
40
394.1 IPS |
|
|
Text Classification (HP)
|
35% |
62
567.5 IPS |
|
|
Text Classification (Q)
|
35% |
62
559.3 IPS |
|
|
Machine Translation (SP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (HP)
|
97% |
739
12.8 IPS |
|
|
Machine Translation (Q)
|
64% |
616
12.7 IPS |