Upload Date | August 22 2024 04:53 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% |
320
34.2 IPS |
|
Image Classification (F16)
|
100% |
557
59.6 IPS |
|
Image Classification (I8)
|
80% |
529
56.6 IPS |
|
Image Segmentation (F32)
|
100% |
613
3.78 IPS |
|
Image Segmentation (F16)
|
100% |
1159
7.16 IPS |
|
Image Segmentation (I8)
|
89% |
1150
7.11 IPS |
|
Pose Estimation (F32)
|
100% |
220
0.89 IPS |
|
Pose Estimation (F16)
|
100% |
533
2.16 IPS |
|
Pose Estimation (I8)
|
80% |
504
2.04 IPS |
|
Object Detection (F32)
|
100% |
266
9.34 IPS |
|
Object Detection (F16)
|
100% |
429
15.1 IPS |
|
Object Detection (I8)
|
54% |
424
14.9 IPS |
|
Face Detection (F32)
|
100% |
673
7.73 IPS |
|
Face Detection (F16)
|
97% |
1229
14.1 IPS |
|
Face Detection (I8)
|
75% |
1066
12.2 IPS |
|
Text Classification (F32)
|
100% |
308
121.8 IPS |
|
Text Classification (F16)
|
98% |
296
117.1 IPS |
|
Machine Translation (F32)
|
100% |
222
34.1 IPS |
|
Machine Translation (F16)
|
100% |
219
33.7 IPS |