samsung SM-A166P
Geekbench ML Score
153
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 02:09 AM |
| Views | 1 |
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 | 5.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
93
9.93 IPS |
|
|
Image Classification (F16)
|
100% |
95
10.1 IPS |
|
|
Image Classification (I8)
|
81% |
108
11.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
217
1.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
227
1.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
390
2.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
70
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
90
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
131
4.59 IPS |
|
|
Object Detection (F16)
|
100% |
146
5.11 IPS |
|
|
Object Detection (I8)
|
52% |
167
5.87 IPS |
|
|
Face Detection (F32)
|
100% |
196
2.25 IPS |
|
|
Face Detection (F16)
|
100% |
213
2.45 IPS |
|
|
Face Detection (I8)
|
75% |
248
2.85 IPS |
|
|
Text Classification (F32)
|
100% |
201
79.6 IPS |
|
|
Text Classification (F16)
|
100% |
211
83.5 IPS |
|
|
Machine Translation (F32)
|
100% |
169
26.1 IPS |
|
|
Machine Translation (F16)
|
100% |
185
28.5 IPS |
