| Upload Date | December 02 2025 06:35 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998W |
| 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% |
128
23.7 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.4 IPS |
|
|
Image Classification (Q)
|
99% |
9891
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
11961
194.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
317
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
319
0.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
90772
106.4 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
87% |
7325
587.7 IPS |
|
|
Face Detection (SP)
|
100% |
449
5.34 IPS |
|
|
Face Detection (HP)
|
100% |
450
5.35 IPS |
|
|
Face Detection (Q)
|
97% |
29187
348.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
389
3.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
384
2.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
41736
383.5 IPS |
|
|
Style Transfer (SP)
|
100% |
644
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
645
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
132243
170.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
191
7.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
32762
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
271
362.2 IPS |
|
|
Text Classification (HP)
|
100% |
272
363.0 IPS |
|
|
Text Classification (Q)
|
94% |
3256
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
52% |
830
24.9 IPS |