Upload Date | September 18 2024 07:02 PM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Device | Qualcomm Snapdragon 8 Gen 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | Samsung Galaxy S22 Ultra |
Model ID | samsung SM-S908U1 |
Motherboard | taro |
Governor | walt |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
Base Frequency | 1.78 GHz |
Cluster 1 | 4 Cores @ 1.79 GHz |
Cluster 2 | 3 Cores @ 2.50 GHz |
Cluster 3 | 1 Core @ 3.00 GHz |
Memory Information | |
---|---|
Size | 7.06 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
335
62.2 IPS |
|
Image Classification (HP)
|
100% |
466
86.8 IPS |
|
Image Classification (Q)
|
97% |
354
66.1 IPS |
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
Image Segmentation (HP)
|
100% |
1477
23.9 IPS |
|
Image Segmentation (Q)
|
98% |
1501
24.4 IPS |
|
Pose Estimation (SP)
|
100% |
718
0.84 IPS |
|
Pose Estimation (HP)
|
100% |
1298
1.51 IPS |
|
Pose Estimation (Q)
|
95% |
1284
1.51 IPS |
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
Object Detection (Q)
|
89% |
553
44.3 IPS |
|
Face Detection (SP)
|
100% |
1563
18.6 IPS |
|
Face Detection (HP)
|
100% |
2106
25.0 IPS |
|
Face Detection (Q)
|
97% |
2153
25.7 IPS |
|
Depth Estimation (SP)
|
100% |
1090
8.40 IPS |
|
Depth Estimation (HP)
|
99% |
2412
18.6 IPS |
|
Depth Estimation (Q)
|
63% |
1985
18.6 IPS |
|
Style Transfer (SP)
|
100% |
2515
3.23 IPS |
|
Style Transfer (HP)
|
100% |
5905
7.59 IPS |
|
Style Transfer (Q)
|
98% |
5779
7.45 IPS |
|
Image Super-Resolution (SP)
|
100% |
361
13.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
Image Super-Resolution (Q)
|
97% |
483
17.9 IPS |
|
Text Classification (SP)
|
100% |
190
253.3 IPS |
|
Text Classification (HP)
|
100% |
195
259.9 IPS |
|
Text Classification (Q)
|
91% |
356
478.9 IPS |
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
Machine Translation (HP)
|
100% |
317
5.45 IPS |
|
Machine Translation (Q)
|
57% |
298
7.27 IPS |