User | raritymlp |
Upload Date | August 16 2024 01:27 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-S908E |
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 | 10.94 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
444
82.6 IPS |
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
Image Classification (Q)
|
97% |
477
88.9 IPS |
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
Image Segmentation (Q)
|
98% |
1053
17.1 IPS |
|
Pose Estimation (SP)
|
100% |
698
0.81 IPS |
|
Pose Estimation (HP)
|
100% |
1238
1.44 IPS |
|
Pose Estimation (Q)
|
95% |
1248
1.46 IPS |
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
Object Detection (Q)
|
86% |
563
45.2 IPS |
|
Face Detection (SP)
|
100% |
1576
18.7 IPS |
|
Face Detection (HP)
|
100% |
2352
28.0 IPS |
|
Face Detection (Q)
|
97% |
1596
19.0 IPS |
|
Depth Estimation (SP)
|
100% |
1073
8.27 IPS |
|
Depth Estimation (HP)
|
99% |
2410
18.6 IPS |
|
Depth Estimation (Q)
|
75% |
2249
18.2 IPS |
|
Style Transfer (SP)
|
100% |
2699
3.47 IPS |
|
Style Transfer (HP)
|
100% |
5938
7.63 IPS |
|
Style Transfer (Q)
|
98% |
5967
7.69 IPS |
|
Image Super-Resolution (SP)
|
100% |
361
13.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
469
17.3 IPS |
|
Image Super-Resolution (Q)
|
97% |
471
17.5 IPS |
|
Text Classification (SP)
|
100% |
201
267.9 IPS |
|
Text Classification (HP)
|
100% |
201
268.4 IPS |
|
Text Classification (Q)
|
91% |
356
477.8 IPS |
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
Machine Translation (HP)
|
100% |
334
5.76 IPS |
|
Machine Translation (Q)
|
57% |
285
6.96 IPS |