| User | n0idea |
| Upload Date | November 13 2024 12:24 AM |
| Views | 6 |
| 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-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% |
177
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
99% |
11314
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
11978
194.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
305
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
305
0.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
99586
116.8 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (Q)
|
88% |
6526
522.8 IPS |
|
|
Face Detection (SP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (HP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (Q)
|
97% |
34601
412.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
374
2.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
391
3.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
35932
330.8 IPS |
|
|
Style Transfer (SP)
|
100% |
612
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
639
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
100861
130.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
200
7.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
192
7.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
31702
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
312
416.2 IPS |
|
|
Text Classification (HP)
|
100% |
307
409.2 IPS |
|
|
Text Classification (Q)
|
94% |
2665
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (Q)
|
37% |
204
20.6 IPS |