samsung SM-A166P
Geekbench ML Score
194
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 07 2024 12:11 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
92
9.85 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.70 IPS |
|
|
Image Classification (I8)
|
81% |
144
15.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
346
2.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
333
2.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
532
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
116
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
133
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
146
5.14 IPS |
|
|
Object Detection (F16)
|
100% |
140
4.92 IPS |
|
|
Object Detection (I8)
|
52% |
217
7.60 IPS |
|
|
Face Detection (F32)
|
100% |
251
2.88 IPS |
|
|
Face Detection (F16)
|
100% |
241
2.77 IPS |
|
|
Face Detection (I8)
|
75% |
319
3.67 IPS |
|
|
Text Classification (F32)
|
100% |
244
96.3 IPS |
|
|
Text Classification (F16)
|
100% |
274
108.4 IPS |
|
|
Machine Translation (F32)
|
100% |
187
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
186
28.6 IPS |
