Upload Date | September 07 2024 01:50 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Android 14 |
Model | samsung SM-A166P |
Model ID | samsung SM-A166P |
Motherboard | a16xm |
CPU Information | |
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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 | |
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Framework | TensorFlow Lite |
Backend | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
202
21.7 IPS |
|
Image Classification (F16)
|
100% |
593
63.5 IPS |
|
Image Classification (I8)
|
80% |
637
68.2 IPS |
|
Image Segmentation (F32)
|
100% |
380
2.35 IPS |
|
Image Segmentation (F16)
|
100% |
535
3.31 IPS |
|
Image Segmentation (I8)
|
89% |
1144
7.07 IPS |
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
Pose Estimation (F16)
|
100% |
568
2.30 IPS |
|
Pose Estimation (I8)
|
80% |
290
1.17 IPS |
|
Object Detection (F32)
|
100% |
307
10.8 IPS |
|
Object Detection (F16)
|
99% |
531
18.7 IPS |
|
Object Detection (I8)
|
53% |
388
13.6 IPS |
|
Face Detection (F32)
|
25% |
523
6.01 IPS |
|
Face Detection (F16)
|
25% |
740
8.50 IPS |
|
Face Detection (I8)
|
75% |
509
5.84 IPS |
|
Text Classification (F32)
|
100% |
196
77.6 IPS |
|
Text Classification (F16)
|
100% |
198
78.2 IPS |
|
Machine Translation (F32)
|
100% |
195
30.1 IPS |
|
Machine Translation (F16)
|
100% |
205
31.6 IPS |