samsung SM-A166P
Geekbench ML Score
157
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2024 01:25 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 | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
85
9.06 IPS |
|
|
Image Classification (F16)
|
100% |
85
9.09 IPS |
|
|
Image Classification (I8)
|
81% |
108
11.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
242
1.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
239
1.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
489
3.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
71
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
72
0.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
134
4.69 IPS |
|
|
Object Detection (F16)
|
100% |
132
4.65 IPS |
|
|
Object Detection (I8)
|
52% |
165
5.80 IPS |
|
|
Face Detection (F32)
|
100% |
206
2.37 IPS |
|
|
Face Detection (F16)
|
100% |
203
2.33 IPS |
|
|
Face Detection (I8)
|
75% |
260
2.99 IPS |
|
|
Text Classification (F32)
|
100% |
230
90.8 IPS |
|
|
Text Classification (F16)
|
100% |
211
83.6 IPS |
|
|
Machine Translation (F32)
|
100% |
185
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
181
27.9 IPS |
