samsung SM-A166P
Geekbench ML Score
325
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 12 2025 12:10 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 | 5.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
191
20.5 IPS |
|
|
Image Classification (F16)
|
100% |
543
58.2 IPS |
|
|
Image Classification (I8)
|
80% |
359
38.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
479
2.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
785
4.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
552
2.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
261
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
290
10.2 IPS |
|
|
Object Detection (F16)
|
99% |
483
17.0 IPS |
|
|
Object Detection (I8)
|
53% |
264
9.26 IPS |
|
|
Face Detection (F32)
|
25% |
494
5.68 IPS |
|
|
Face Detection (F16)
|
25% |
699
8.03 IPS |
|
|
Face Detection (I8)
|
75% |
466
5.36 IPS |
|
|
Text Classification (F32)
|
100% |
134
53.1 IPS |
|
|
Text Classification (F16)
|
100% |
124
49.1 IPS |
|
|
Machine Translation (F32)
|
100% |
183
28.3 IPS |
|
|
Machine Translation (F16)
|
100% |
170
26.1 IPS |
