| Upload Date | August 11 2024 12:19 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
130
24.2 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (Q)
|
99% |
9554
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
9492
154.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
92258
108.2 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.88 IPS |
|
|
Object Detection (Q)
|
86% |
5635
452.9 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
336
4.00 IPS |
|
|
Face Detection (Q)
|
97% |
26886
320.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
100% |
274
2.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
37916
302.7 IPS |
|
|
Style Transfer (SP)
|
100% |
463
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
467
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
94943
122.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
210
7.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
190
7.01 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
29961
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
271
361.7 IPS |
|
|
Text Classification (HP)
|
100% |
272
363.5 IPS |
|
|
Text Classification (Q)
|
94% |
2310
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
37% |
187
18.8 IPS |