Upload Date | August 20 2024 08:23 AM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | samsung SM-A166P |
Model ID | samsung SM-A166P |
Motherboard | a16xm |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 6 Cores @ 2.00 GHz |
Cluster 2 | 2 Cores @ 2.40 GHz |
Memory Information | |
---|---|
Size | 3.36 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
304
32.5 IPS |
|
Image Classification (F16)
|
100% |
544
58.3 IPS |
|
Image Classification (I8)
|
80% |
515
55.2 IPS |
|
Image Segmentation (F32)
|
100% |
613
3.79 IPS |
|
Image Segmentation (F16)
|
100% |
1167
7.21 IPS |
|
Image Segmentation (I8)
|
89% |
1159
7.16 IPS |
|
Pose Estimation (F32)
|
100% |
232
0.94 IPS |
|
Pose Estimation (F16)
|
100% |
538
2.18 IPS |
|
Pose Estimation (I8)
|
80% |
519
2.10 IPS |
|
Object Detection (F32)
|
100% |
261
9.15 IPS |
|
Object Detection (F16)
|
100% |
435
15.2 IPS |
|
Object Detection (I8)
|
54% |
407
14.3 IPS |
|
Face Detection (F32)
|
100% |
613
7.04 IPS |
|
Face Detection (F16)
|
97% |
1138
13.1 IPS |
|
Face Detection (I8)
|
75% |
1033
11.9 IPS |
|
Text Classification (F32)
|
100% |
217
85.7 IPS |
|
Text Classification (F16)
|
98% |
327
129.2 IPS |
|
Machine Translation (F32)
|
100% |
210
32.4 IPS |
|
Machine Translation (F16)
|
100% |
210
32.3 IPS |