samsung SM-A166P
Geekbench ML Score
162
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 05:22 PM |
| Views | 3 |
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% |
78
8.36 IPS |
|
|
Image Classification (F16)
|
100% |
75
8.07 IPS |
|
|
Image Classification (I8)
|
81% |
94
10.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
265
1.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
259
1.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
399
2.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
111
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
116
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
121
4.24 IPS |
|
|
Object Detection (F16)
|
100% |
123
4.33 IPS |
|
|
Object Detection (I8)
|
52% |
155
5.45 IPS |
|
|
Face Detection (F32)
|
100% |
215
2.46 IPS |
|
|
Face Detection (F16)
|
100% |
215
2.46 IPS |
|
|
Face Detection (I8)
|
75% |
240
2.76 IPS |
|
|
Text Classification (F32)
|
100% |
222
88.0 IPS |
|
|
Text Classification (F16)
|
100% |
226
89.2 IPS |
|
|
Machine Translation (F32)
|
100% |
184
28.3 IPS |
|
|
Machine Translation (F16)
|
100% |
199
30.7 IPS |
