| User | n0idea |
| Upload Date | November 13 2024 12:40 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
559
104.0 IPS |
|
|
Image Classification (HP)
|
100% |
1098
204.2 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.31 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
572
9.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
1881
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6978
8.14 IPS |
|
|
Pose Estimation (Q)
|
98% |
1450
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (HP)
|
99% |
1013
80.3 IPS |
|
|
Object Detection (Q)
|
2% |
12
295.1 IPS |
|
|
Face Detection (SP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
429
5.10 IPS |
|
|
Face Detection (Q)
|
97% |
1054
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
655
5.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
380
2.93 IPS |
|
|
Depth Estimation (Q)
|
5% |
37
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2050
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
642
0.83 IPS |
|
|
Style Transfer (Q)
|
18% |
13
0.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3234
119.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
258
9.56 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.62 IPS |
|
|
Text Classification (HP)
|
100% |
245
327.6 IPS |
|
|
Text Classification (Q)
|
93% |
34
45.7 IPS |
|
|
Machine Translation (SP)
|
100% |
316
5.43 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
57% |
367
8.98 IPS |