samsung SM-A166P
Geekbench ML Score
145
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 02:29 PM |
| Views | 1 |
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
7.34 IPS |
|
|
Image Classification (F16)
|
100% |
70
7.46 IPS |
|
|
Image Classification (I8)
|
81% |
72
7.66 IPS |
|
|
Image Segmentation (F32)
|
100% |
244
1.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
240
1.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
345
2.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
110
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
108
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
109
3.81 IPS |
|
|
Object Detection (F16)
|
100% |
113
3.96 IPS |
|
|
Object Detection (I8)
|
52% |
138
4.84 IPS |
|
|
Face Detection (F32)
|
100% |
194
2.23 IPS |
|
|
Face Detection (F16)
|
100% |
195
2.24 IPS |
|
|
Face Detection (I8)
|
75% |
193
2.22 IPS |
|
|
Text Classification (F32)
|
100% |
187
74.0 IPS |
|
|
Text Classification (F16)
|
100% |
189
74.8 IPS |
|
|
Machine Translation (F32)
|
100% |
182
28.0 IPS |
|
|
Machine Translation (F16)
|
100% |
179
27.5 IPS |
