samsung SM-A166P
Geekbench ML Score
328
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 09 2024 09:41 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
193
20.7 IPS |
|
|
Image Classification (F16)
|
100% |
545
58.4 IPS |
|
|
Image Classification (I8)
|
80% |
358
38.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
355
2.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
479
2.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
763
4.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
555
2.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
274
1.11 IPS |
|
|
Object Detection (F32)
|
100% |
286
10.0 IPS |
|
|
Object Detection (F16)
|
99% |
468
16.4 IPS |
|
|
Object Detection (I8)
|
53% |
261
9.15 IPS |
|
|
Face Detection (F32)
|
25% |
487
5.60 IPS |
|
|
Face Detection (F16)
|
25% |
699
8.03 IPS |
|
|
Face Detection (I8)
|
75% |
459
5.28 IPS |
|
|
Text Classification (F32)
|
100% |
129
51.2 IPS |
|
|
Text Classification (F16)
|
100% |
120
47.3 IPS |
|
|
Machine Translation (F32)
|
100% |
206
31.7 IPS |
|
|
Machine Translation (F16)
|
100% |
200
30.9 IPS |
