samsung SM-A166P
Geekbench ML Score
183
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 02:40 PM |
| Views | 5 |
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% |
99
10.6 IPS |
|
|
Image Classification (F16)
|
100% |
94
10.1 IPS |
|
|
Image Classification (I8)
|
81% |
118
12.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
290
1.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
292
1.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
459
2.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
114
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
113
0.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
148
5.19 IPS |
|
|
Object Detection (F16)
|
100% |
147
5.17 IPS |
|
|
Object Detection (I8)
|
52% |
192
6.75 IPS |
|
|
Face Detection (F32)
|
100% |
279
3.21 IPS |
|
|
Face Detection (F16)
|
100% |
282
3.24 IPS |
|
|
Face Detection (I8)
|
75% |
290
3.33 IPS |
|
|
Text Classification (F32)
|
100% |
220
87.2 IPS |
|
|
Text Classification (F16)
|
100% |
219
86.7 IPS |
|
|
Machine Translation (F32)
|
100% |
176
27.2 IPS |
|
|
Machine Translation (F16)
|
100% |
179
27.6 IPS |
