| User | UsayedShahid |
| Upload Date | March 26 2026 05:22 AM |
| 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% |
802
149.2 IPS |
|
|
Image Classification (HP)
|
100% |
1216
226.2 IPS |
|
|
Image Classification (Q)
|
99% |
1124
209.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2122
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4960
5.79 IPS |
|
|
Pose Estimation (HP)
|
99% |
8631
10.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
8552
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (HP)
|
99% |
1105
87.7 IPS |
|
|
Object Detection (Q)
|
85% |
1048
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
3867
45.9 IPS |
|
|
Face Detection (Q)
|
97% |
3587
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2552
19.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3781
29.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3091
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6280
8.07 IPS |
|
|
Style Transfer (HP)
|
100% |
12611
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
12538
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2141
79.3 IPS |
|
|
Text Classification (SP)
|
35% |
40
390.7 IPS |
|
|
Text Classification (HP)
|
35% |
64
581.0 IPS |
|
|
Text Classification (Q)
|
35% |
62
559.7 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
97% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
64% |
579
11.9 IPS |