samsung SM-A166P
Geekbench ML Score
400
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2024 02:07 AM |
| Views | 1 |
System Information
| 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
202
21.7 IPS |
|
|
Image Classification (F16)
|
100% |
594
63.6 IPS |
|
|
Image Classification (I8)
|
80% |
627
67.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
380
2.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
512
3.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
999
6.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
251
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
571
2.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
372
1.51 IPS |
|
|
Object Detection (F32)
|
100% |
309
10.8 IPS |
|
|
Object Detection (F16)
|
99% |
537
18.8 IPS |
|
|
Object Detection (I8)
|
53% |
435
15.3 IPS |
|
|
Face Detection (F32)
|
25% |
536
6.16 IPS |
|
|
Face Detection (F16)
|
25% |
765
8.79 IPS |
|
|
Face Detection (I8)
|
75% |
745
8.56 IPS |
|
|
Text Classification (F32)
|
100% |
200
79.0 IPS |
|
|
Text Classification (F16)
|
100% |
206
81.5 IPS |
|
|
Machine Translation (F32)
|
100% |
198
30.5 IPS |
|
|
Machine Translation (F16)
|
100% |
201
31.0 IPS |
