samsung SM-A166P
Geekbench ML Score
370
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 14 2025 04:58 PM |
| Views | 4 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
202
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
584
62.6 IPS |
|
|
Image Classification (I8)
|
80% |
560
60.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
347
2.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
486
3.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
1093
6.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
256
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
572
2.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
334
1.35 IPS |
|
|
Object Detection (F32)
|
100% |
311
10.9 IPS |
|
|
Object Detection (F16)
|
99% |
534
18.7 IPS |
|
|
Object Detection (I8)
|
53% |
392
13.7 IPS |
|
|
Face Detection (F32)
|
25% |
532
6.12 IPS |
|
|
Face Detection (F16)
|
25% |
754
8.67 IPS |
|
|
Face Detection (I8)
|
75% |
656
7.54 IPS |
|
|
Text Classification (F32)
|
100% |
132
52.2 IPS |
|
|
Text Classification (F16)
|
100% |
116
45.8 IPS |
|
|
Machine Translation (F32)
|
100% |
204
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
198
30.6 IPS |
