| Upload Date | August 11 2024 11:37 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.6 IPS |
|
|
Image Classification (Q)
|
100% |
470
87.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
511
8.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1088
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
87% |
481
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
377
4.48 IPS |
|
|
Face Detection (HP)
|
100% |
379
4.50 IPS |
|
|
Face Detection (Q)
|
95% |
938
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
525
4.04 IPS |
|
|
Depth Estimation (HP)
|
100% |
517
3.98 IPS |
|
|
Depth Estimation (Q)
|
75% |
1174
9.52 IPS |
|
|
Style Transfer (SP)
|
89% |
1113
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1112
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2339
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.4 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.7 IPS |
|
|
Text Classification (Q)
|
88% |
267
359.6 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (Q)
|
50% |
158
5.60 IPS |