samsung SM-A166P
Geekbench ML Score
143
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2025 01:39 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
59
6.32 IPS |
|
|
Image Classification (F16)
|
100% |
75
8.00 IPS |
|
|
Image Classification (I8)
|
81% |
93
10.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
228
1.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
205
1.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
411
2.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
66
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
60
0.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
92
0.37 IPS |
|
|
Object Detection (F32)
|
100% |
137
4.82 IPS |
|
|
Object Detection (F16)
|
100% |
132
4.62 IPS |
|
|
Object Detection (I8)
|
52% |
157
5.49 IPS |
|
|
Face Detection (F32)
|
100% |
193
2.22 IPS |
|
|
Face Detection (F16)
|
100% |
173
1.99 IPS |
|
|
Face Detection (I8)
|
75% |
221
2.53 IPS |
|
|
Text Classification (F32)
|
100% |
215
84.9 IPS |
|
|
Text Classification (F16)
|
100% |
220
86.9 IPS |
|
|
Machine Translation (F32)
|
100% |
186
28.6 IPS |
|
|
Machine Translation (F16)
|
100% |
177
27.3 IPS |
