samsung SM-A166P
Geekbench ML Score
309
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 02:20 PM |
| Views | 1 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
191
20.4 IPS |
|
|
Image Classification (F16)
|
100% |
496
53.2 IPS |
|
|
Image Classification (I8)
|
80% |
335
35.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
344
2.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
454
2.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
748
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
244
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
546
2.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
221
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
284
9.97 IPS |
|
|
Object Detection (F16)
|
99% |
466
16.4 IPS |
|
|
Object Detection (I8)
|
53% |
260
9.11 IPS |
|
|
Face Detection (F32)
|
25% |
478
5.49 IPS |
|
|
Face Detection (F16)
|
25% |
674
7.74 IPS |
|
|
Face Detection (I8)
|
75% |
446
5.12 IPS |
|
|
Text Classification (F32)
|
100% |
122
48.2 IPS |
|
|
Text Classification (F16)
|
100% |
113
44.6 IPS |
|
|
Machine Translation (F32)
|
100% |
166
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
166
25.6 IPS |
