samsung SM-A166P
Geekbench ML Score
151
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2024 08:37 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 | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
76
8.10 IPS |
|
|
Image Classification (F16)
|
100% |
75
8.01 IPS |
|
|
Image Classification (I8)
|
81% |
95
10.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
239
1.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
232
1.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
368
2.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
90
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
114
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
113
3.97 IPS |
|
|
Object Detection (F16)
|
100% |
115
4.04 IPS |
|
|
Object Detection (I8)
|
52% |
139
4.89 IPS |
|
|
Face Detection (F32)
|
100% |
195
2.25 IPS |
|
|
Face Detection (F16)
|
100% |
202
2.32 IPS |
|
|
Face Detection (I8)
|
75% |
228
2.62 IPS |
|
|
Text Classification (F32)
|
100% |
215
85.0 IPS |
|
|
Text Classification (F16)
|
100% |
199
78.8 IPS |
|
|
Machine Translation (F32)
|
100% |
171
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
208
32.0 IPS |
