samsung SM-A166P
Geekbench ML Score
336
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 26 2025 09:42 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
193
20.6 IPS |
|
|
Image Classification (F16)
|
100% |
546
58.5 IPS |
|
|
Image Classification (I8)
|
80% |
366
39.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
365
2.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
506
3.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
817
5.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
560
2.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
265
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
285
9.99 IPS |
|
|
Object Detection (F16)
|
99% |
504
17.7 IPS |
|
|
Object Detection (I8)
|
53% |
280
9.82 IPS |
|
|
Face Detection (F32)
|
25% |
502
5.77 IPS |
|
|
Face Detection (F16)
|
25% |
711
8.17 IPS |
|
|
Face Detection (I8)
|
75% |
489
5.62 IPS |
|
|
Text Classification (F32)
|
100% |
143
56.7 IPS |
|
|
Text Classification (F16)
|
100% |
125
49.6 IPS |
|
|
Machine Translation (F32)
|
100% |
199
30.7 IPS |
|
|
Machine Translation (F16)
|
100% |
195
30.1 IPS |
