samsung SM-A166P
Geekbench ML Score
202
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 26 2025 03:38 PM |
| Views | 9 |
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% |
100
10.7 IPS |
|
|
Image Classification (F16)
|
100% |
85
9.14 IPS |
|
|
Image Classification (I8)
|
81% |
132
14.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
342
2.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
347
2.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
545
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
135
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
129
0.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
145
5.08 IPS |
|
|
Object Detection (F16)
|
100% |
143
5.02 IPS |
|
|
Object Detection (I8)
|
52% |
214
7.49 IPS |
|
|
Face Detection (F32)
|
100% |
297
3.42 IPS |
|
|
Face Detection (F16)
|
100% |
298
3.42 IPS |
|
|
Face Detection (I8)
|
75% |
325
3.73 IPS |
|
|
Text Classification (F32)
|
100% |
259
102.5 IPS |
|
|
Text Classification (F16)
|
100% |
260
102.9 IPS |
|
|
Machine Translation (F32)
|
100% |
212
32.7 IPS |
|
|
Machine Translation (F16)
|
100% |
202
31.1 IPS |
