samsung SM-A166P
Geekbench ML Score
205
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 09:00 PM |
| Views | 1 |
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% |
98
10.5 IPS |
|
|
Image Classification (F16)
|
100% |
88
9.47 IPS |
|
|
Image Classification (I8)
|
81% |
131
14.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
352
2.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
348
2.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
523
3.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
131
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
149
5.22 IPS |
|
|
Object Detection (F16)
|
100% |
157
5.49 IPS |
|
|
Object Detection (I8)
|
52% |
216
7.57 IPS |
|
|
Face Detection (F32)
|
100% |
302
3.47 IPS |
|
|
Face Detection (F16)
|
100% |
306
3.51 IPS |
|
|
Face Detection (I8)
|
75% |
318
3.65 IPS |
|
|
Text Classification (F32)
|
100% |
267
105.8 IPS |
|
|
Text Classification (F16)
|
100% |
267
105.5 IPS |
|
|
Machine Translation (F32)
|
100% |
204
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
215
33.1 IPS |
