User | ett11 |
Upload Date | June 27 2022 10:45 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Android 12 |
Model | samsung SM-S901U |
Model ID | samsung SM-S901U |
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 | 7.05 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1076
115.2 IPS |
|
Image Classification (F16)
|
100% |
1551
166.1 IPS |
|
Image Classification (I8)
|
80% |
1428
153.0 IPS |
|
Image Segmentation (F32)
|
100% |
2752
17.0 IPS |
|
Image Segmentation (F16)
|
100% |
4496
27.8 IPS |
|
Image Segmentation (I8)
|
89% |
4267
26.4 IPS |
|
Pose Estimation (F32)
|
100% |
1293
5.23 IPS |
|
Pose Estimation (F16)
|
100% |
2497
10.1 IPS |
|
Pose Estimation (I8)
|
80% |
2498
10.1 IPS |
|
Object Detection (F32)
|
100% |
450
15.8 IPS |
|
Object Detection (F16)
|
99% |
567
19.9 IPS |
|
Object Detection (I8)
|
53% |
574
20.1 IPS |
|
Face Detection (F32)
|
100% |
1914
22.0 IPS |
|
Face Detection (F16)
|
97% |
3516
40.4 IPS |
|
Face Detection (I8)
|
75% |
3404
39.1 IPS |
|
Text Classification (F32)
|
100% |
527
208.5 IPS |
|
Text Classification (F16)
|
98% |
573
226.4 IPS |
|
Machine Translation (F32)
|
100% |
804
124.0 IPS |
|
Machine Translation (F16)
|
100% |
806
124.2 IPS |