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 01:34 PM |
| Views | 3 |
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% |
92
9.84 IPS |
|
|
Image Classification (F16)
|
100% |
92
9.87 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% |
470
2.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
116
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
114
0.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
151
5.28 IPS |
|
|
Object Detection (F16)
|
100% |
151
5.30 IPS |
|
|
Object Detection (I8)
|
52% |
188
6.61 IPS |
|
|
Face Detection (F32)
|
100% |
281
3.22 IPS |
|
|
Face Detection (F16)
|
100% |
283
3.26 IPS |
|
|
Face Detection (I8)
|
75% |
289
3.32 IPS |
|
|
Text Classification (F32)
|
100% |
218
86.2 IPS |
|
|
Text Classification (F16)
|
100% |
223
88.1 IPS |
|
|
Machine Translation (F32)
|
100% |
175
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
179
27.5 IPS |
