User | ett11 |
Upload Date | June 27 2022 10:42 PM |
Views | 3 |
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 | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
403
43.2 IPS |
|
Image Classification (F16)
|
100% |
398
42.6 IPS |
|
Image Classification (I8)
|
81% |
184
19.7 IPS |
|
Image Segmentation (F32)
|
100% |
631
3.89 IPS |
|
Image Segmentation (F16)
|
100% |
627
3.87 IPS |
|
Image Segmentation (I8)
|
89% |
752
4.65 IPS |
|
Pose Estimation (F32)
|
100% |
272
1.10 IPS |
|
Pose Estimation (F16)
|
100% |
265
1.07 IPS |
|
Pose Estimation (I8)
|
80% |
198
0.80 IPS |
|
Object Detection (F32)
|
100% |
408
14.3 IPS |
|
Object Detection (F16)
|
100% |
393
13.8 IPS |
|
Object Detection (I8)
|
52% |
277
9.71 IPS |
|
Face Detection (F32)
|
100% |
669
7.68 IPS |
|
Face Detection (F16)
|
100% |
655
7.53 IPS |
|
Face Detection (I8)
|
75% |
428
4.92 IPS |
|
Text Classification (F32)
|
100% |
307
121.4 IPS |
|
Text Classification (F16)
|
100% |
307
121.4 IPS |
|
Machine Translation (F32)
|
100% |
732
112.8 IPS |
|
Machine Translation (F16)
|
100% |
730
112.5 IPS |