| User | UsayedShahid |
| Upload Date | March 25 2026 01:57 PM |
| Views | 7 |
| 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% |
810
150.6 IPS |
|
|
Image Classification (HP)
|
100% |
1235
229.6 IPS |
|
|
Image Classification (Q)
|
99% |
1149
214.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2289
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4915
5.74 IPS |
|
|
Pose Estimation (HP)
|
99% |
8555
9.98 IPS |
|
|
Pose Estimation (Q)
|
97% |
8450
9.89 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
99% |
1181
93.7 IPS |
|
|
Object Detection (Q)
|
85% |
1038
83.5 IPS |
|
|
Face Detection (SP)
|
100% |
2284
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (Q)
|
97% |
3464
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2551
19.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3766
29.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3064
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6247
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
12555
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
12461
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2236
82.9 IPS |
|
|
Text Classification (SP)
|
35% |
39
381.8 IPS |
|
|
Text Classification (HP)
|
35% |
63
570.3 IPS |
|
|
Text Classification (Q)
|
35% |
62
561.6 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (HP)
|
97% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
64% |
567
11.6 IPS |