Upload Date | January 02 2023 11:39 AM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 13 |
Model | samsung SM-S908B |
Model ID | samsung SM-S908B |
Motherboard | s5e9925 |
Governor | energy_aware |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
Base Frequency | 1.82 GHz |
Cluster 1 | 4 Cores @ 1.82 GHz |
Cluster 2 | 3 Cores @ 2.52 GHz |
Cluster 3 | 1 Core @ 2.80 GHz |
Memory Information | |
---|---|
Size | 7.12 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
173
18.5 IPS |
|
Image Classification (F16)
|
100% |
173
18.6 IPS |
|
Image Classification (I8)
|
81% |
127
13.6 IPS |
|
Image Segmentation (F32)
|
100% |
300
1.85 IPS |
|
Image Segmentation (F16)
|
100% |
304
1.88 IPS |
|
Image Segmentation (I8)
|
89% |
407
2.51 IPS |
|
Pose Estimation (F32)
|
100% |
138
0.56 IPS |
|
Pose Estimation (F16)
|
100% |
137
0.55 IPS |
|
Pose Estimation (I8)
|
80% |
105
0.43 IPS |
|
Object Detection (F32)
|
100% |
194
6.80 IPS |
|
Object Detection (F16)
|
100% |
187
6.58 IPS |
|
Object Detection (I8)
|
52% |
164
5.75 IPS |
|
Face Detection (F32)
|
100% |
348
4.00 IPS |
|
Face Detection (F16)
|
100% |
342
3.93 IPS |
|
Face Detection (I8)
|
75% |
292
3.36 IPS |
|
Text Classification (F32)
|
100% |
219
86.8 IPS |
|
Text Classification (F16)
|
100% |
217
85.9 IPS |
|
Machine Translation (F32)
|
100% |
367
56.6 IPS |
|
Machine Translation (F16)
|
100% |
361
55.6 IPS |