samsung SM-A166P
Geekbench ML Score
139
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 02:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 5.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
83
8.88 IPS |
|
|
Image Classification (F16)
|
100% |
76
8.16 IPS |
|
|
Image Classification (I8)
|
81% |
94
10.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
226
1.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
227
1.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
313
1.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
98
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
100
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
101
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
99
3.48 IPS |
|
|
Object Detection (F16)
|
100% |
104
3.66 IPS |
|
|
Object Detection (I8)
|
52% |
122
4.27 IPS |
|
|
Face Detection (F32)
|
100% |
179
2.05 IPS |
|
|
Face Detection (F16)
|
100% |
182
2.09 IPS |
|
|
Face Detection (I8)
|
75% |
175
2.01 IPS |
|
|
Text Classification (F32)
|
100% |
176
69.7 IPS |
|
|
Text Classification (F16)
|
100% |
156
61.8 IPS |
|
|
Machine Translation (F32)
|
100% |
183
28.2 IPS |
|
|
Machine Translation (F16)
|
100% |
169
26.1 IPS |
