samsung SM-A166P
Geekbench ML Score
218
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 31 2024 11:00 PM |
| 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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
98
10.5 IPS |
|
|
Image Classification (F16)
|
100% |
91
9.72 IPS |
|
|
Image Classification (I8)
|
81% |
155
16.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
353
2.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
357
2.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
576
3.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
153
5.36 IPS |
|
|
Object Detection (F16)
|
100% |
163
5.72 IPS |
|
|
Object Detection (I8)
|
52% |
246
8.64 IPS |
|
|
Face Detection (F32)
|
100% |
322
3.70 IPS |
|
|
Face Detection (F16)
|
100% |
323
3.71 IPS |
|
|
Face Detection (I8)
|
75% |
382
4.39 IPS |
|
|
Text Classification (F32)
|
100% |
290
114.8 IPS |
|
|
Text Classification (F16)
|
100% |
291
115.1 IPS |
|
|
Machine Translation (F32)
|
100% |
205
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
212
32.6 IPS |
