samsung SM-A166P
Geekbench ML Score
175
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 12 2025 12:25 AM |
| Views | 3 |
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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
83
8.86 IPS |
|
|
Image Classification (F16)
|
100% |
89
9.52 IPS |
|
|
Image Classification (I8)
|
81% |
122
13.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
254
1.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
261
1.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
428
2.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
113
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
118
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
149
5.21 IPS |
|
|
Object Detection (F16)
|
100% |
149
5.25 IPS |
|
|
Object Detection (I8)
|
52% |
209
7.33 IPS |
|
|
Face Detection (F32)
|
100% |
275
3.16 IPS |
|
|
Face Detection (F16)
|
100% |
217
2.49 IPS |
|
|
Face Detection (I8)
|
75% |
254
2.92 IPS |
|
|
Text Classification (F32)
|
100% |
197
78.1 IPS |
|
|
Text Classification (F16)
|
100% |
213
84.2 IPS |
|
|
Machine Translation (F32)
|
100% |
193
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
206
31.8 IPS |
