samsung SM-A166P
Geekbench ML Score
138
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 02:18 PM |
| Views | 6 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
66
7.06 IPS |
|
|
Image Classification (F16)
|
100% |
65
6.95 IPS |
|
|
Image Classification (I8)
|
81% |
69
7.43 IPS |
|
|
Image Segmentation (F32)
|
100% |
236
1.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
241
1.49 IPS |
|
|
Image Segmentation (I8)
|
89% |
336
2.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
102
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
104
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
104
3.63 IPS |
|
|
Object Detection (F16)
|
100% |
105
3.68 IPS |
|
|
Object Detection (I8)
|
52% |
119
4.17 IPS |
|
|
Face Detection (F32)
|
100% |
190
2.18 IPS |
|
|
Face Detection (F16)
|
100% |
187
2.15 IPS |
|
|
Face Detection (I8)
|
75% |
192
2.20 IPS |
|
|
Text Classification (F32)
|
100% |
178
70.3 IPS |
|
|
Text Classification (F16)
|
100% |
172
68.1 IPS |
|
|
Machine Translation (F32)
|
100% |
174
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
178
27.4 IPS |
