Upload Date | September 17 2024 01:05 PM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 14 |
Model | samsung SM-X810 |
Model ID | samsung SM-X810 |
Motherboard | kalama |
Governor | walt |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
Base Frequency | 2.02 GHz |
Cluster 1 | 3 Cores @ 2.02 GHz |
Cluster 2 | 4 Cores @ 2.80 GHz |
Cluster 3 | 1 Core @ 3.36 GHz |
Memory Information | |
---|---|
Size | 10.91 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
162
30.1 IPS |
|
Image Classification (HP)
|
100% |
162
30.2 IPS |
|
Image Classification (Q)
|
99% |
417
77.9 IPS |
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
Image Segmentation (HP)
|
100% |
215
3.48 IPS |
|
Image Segmentation (Q)
|
98% |
444
7.21 IPS |
|
Pose Estimation (SP)
|
100% |
291
0.34 IPS |
|
Pose Estimation (HP)
|
100% |
290
0.34 IPS |
|
Pose Estimation (Q)
|
98% |
1103
1.29 IPS |
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
Object Detection (Q)
|
87% |
455
36.5 IPS |
|
Face Detection (SP)
|
100% |
455
5.41 IPS |
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
Face Detection (Q)
|
97% |
956
11.4 IPS |
|
Depth Estimation (SP)
|
100% |
380
2.93 IPS |
|
Depth Estimation (HP)
|
99% |
381
2.94 IPS |
|
Depth Estimation (Q)
|
64% |
889
8.06 IPS |
|
Style Transfer (SP)
|
100% |
689
0.89 IPS |
|
Style Transfer (HP)
|
100% |
685
0.88 IPS |
|
Style Transfer (Q)
|
98% |
1902
2.45 IPS |
|
Image Super-Resolution (SP)
|
100% |
183
6.76 IPS |
|
Image Super-Resolution (HP)
|
100% |
183
6.76 IPS |
|
Image Super-Resolution (Q)
|
97% |
636
23.5 IPS |
|
Text Classification (SP)
|
100% |
224
299.6 IPS |
|
Text Classification (HP)
|
100% |
224
299.4 IPS |
|
Text Classification (Q)
|
91% |
374
502.7 IPS |
|
Machine Translation (SP)
|
100% |
402
6.92 IPS |
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
Machine Translation (Q)
|
57% |
327
8.00 IPS |