| User | KenTang |
| Upload Date | October 16 2025 08:53 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
693
128.8 IPS |
|
|
Image Classification (HP)
|
100% |
1092
203.1 IPS |
|
|
Image Classification (Q)
|
99% |
890
166.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1454
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4914
5.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
8436
9.84 IPS |
|
|
Pose Estimation (Q)
|
97% |
8272
9.69 IPS |
|
|
Object Detection (SP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (HP)
|
99% |
741
58.8 IPS |
|
|
Object Detection (Q)
|
85% |
726
58.4 IPS |
|
|
Face Detection (SP)
|
100% |
1822
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2269
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2445
18.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3410
26.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2915
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6009
7.72 IPS |
|
|
Style Transfer (HP)
|
100% |
11538
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11086
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1619
60.0 IPS |
|
|
Text Classification (SP)
|
35% |
34
327.6 IPS |
|
|
Text Classification (HP)
|
35% |
41
376.0 IPS |
|
|
Text Classification (Q)
|
35% |
40
361.2 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
97% |
346
5.98 IPS |
|
|
Machine Translation (Q)
|
64% |
283
5.81 IPS |