samsung SM-A166P
Geekbench ML Score
171
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2024 07:29 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
94
10.1 IPS |
|
|
Image Classification (F16)
|
100% |
89
9.48 IPS |
|
|
Image Classification (I8)
|
81% |
122
13.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
330
2.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
341
2.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
529
3.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
115
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
103
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
104
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
139
4.87 IPS |
|
|
Object Detection (F16)
|
100% |
141
4.95 IPS |
|
|
Object Detection (I8)
|
52% |
184
6.47 IPS |
|
|
Face Detection (F32)
|
100% |
227
2.60 IPS |
|
|
Face Detection (F16)
|
100% |
226
2.60 IPS |
|
|
Face Detection (I8)
|
75% |
216
2.48 IPS |
|
|
Text Classification (F32)
|
100% |
196
77.5 IPS |
|
|
Text Classification (F16)
|
100% |
184
72.8 IPS |
|
|
Machine Translation (F32)
|
100% |
163
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
153
23.6 IPS |
