samsung SM-A166P
Geekbench ML Score
141
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 02:51 PM |
| Views | 4 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
68
7.33 IPS |
|
|
Image Classification (F16)
|
100% |
66
7.08 IPS |
|
|
Image Classification (I8)
|
81% |
71
7.57 IPS |
|
|
Image Segmentation (F32)
|
100% |
236
1.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
249
1.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
329
2.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
102
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
110
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
106
3.72 IPS |
|
|
Object Detection (F16)
|
100% |
108
3.80 IPS |
|
|
Object Detection (I8)
|
52% |
125
4.39 IPS |
|
|
Face Detection (F32)
|
100% |
191
2.19 IPS |
|
|
Face Detection (F16)
|
100% |
187
2.14 IPS |
|
|
Face Detection (I8)
|
75% |
200
2.30 IPS |
|
|
Text Classification (F32)
|
100% |
171
67.7 IPS |
|
|
Text Classification (F16)
|
100% |
174
68.7 IPS |
|
|
Machine Translation (F32)
|
100% |
179
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
186
28.6 IPS |
