| User | n0idea |
| Upload Date | November 13 2024 12:50 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.0 IPS |
|
|
Image Classification (Q)
|
97% |
395
73.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
986
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
985
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
416
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
89% |
372
29.8 IPS |
|
|
Face Detection (SP)
|
100% |
1428
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1986
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
1871
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1005
7.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
1280
9.89 IPS |
|
|
Depth Estimation (Q)
|
62% |
1016
9.62 IPS |
|
|
Style Transfer (SP)
|
100% |
2172
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3522
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3526
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
514
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
255
341.0 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.6 IPS |
|
|
Text Classification (Q)
|
91% |
528
709.2 IPS |
|
|
Machine Translation (SP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
57% |
396
9.68 IPS |