samsung SM-A166P
Geekbench ML Score
188
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 26 2025 03:46 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
98
10.5 IPS |
|
|
Image Classification (F16)
|
100% |
92
9.87 IPS |
|
|
Image Classification (I8)
|
81% |
138
14.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
296
1.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
297
1.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
479
2.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
129
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
151
5.30 IPS |
|
|
Object Detection (F16)
|
100% |
152
5.33 IPS |
|
|
Object Detection (I8)
|
52% |
201
7.05 IPS |
|
|
Face Detection (F32)
|
100% |
292
3.35 IPS |
|
|
Face Detection (F16)
|
100% |
293
3.37 IPS |
|
|
Face Detection (I8)
|
75% |
333
3.82 IPS |
|
|
Text Classification (F32)
|
100% |
220
86.9 IPS |
|
|
Text Classification (F16)
|
100% |
218
86.3 IPS |
|
|
Machine Translation (F32)
|
100% |
174
26.8 IPS |
|
|
Machine Translation (F16)
|
100% |
174
26.8 IPS |
