samsung SM-A166P
Geekbench ML Score
150
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2024 09:29 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
75
7.98 IPS |
|
|
Image Classification (F16)
|
100% |
75
8.00 IPS |
|
|
Image Classification (I8)
|
81% |
86
9.26 IPS |
|
|
Image Segmentation (F32)
|
100% |
241
1.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
229
1.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
376
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
100
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
91
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
108
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
119
4.17 IPS |
|
|
Object Detection (F16)
|
100% |
118
4.14 IPS |
|
|
Object Detection (I8)
|
52% |
149
5.24 IPS |
|
|
Face Detection (F32)
|
100% |
201
2.31 IPS |
|
|
Face Detection (F16)
|
100% |
198
2.27 IPS |
|
|
Face Detection (I8)
|
75% |
228
2.62 IPS |
|
|
Text Classification (F32)
|
100% |
205
80.9 IPS |
|
|
Text Classification (F16)
|
100% |
177
70.0 IPS |
|
|
Machine Translation (F32)
|
100% |
180
27.8 IPS |
|
|
Machine Translation (F16)
|
100% |
182
28.0 IPS |
