samsung SM-A166P
Geekbench ML Score
411
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 12:48 AM |
| Views | 3 |
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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
199
21.4 IPS |
|
|
Image Classification (F16)
|
100% |
597
64.0 IPS |
|
|
Image Classification (I8)
|
80% |
658
70.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
384
2.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
537
3.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
1180
7.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
569
2.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
388
1.57 IPS |
|
|
Object Detection (F32)
|
100% |
311
10.9 IPS |
|
|
Object Detection (F16)
|
99% |
543
19.1 IPS |
|
|
Object Detection (I8)
|
53% |
443
15.5 IPS |
|
|
Face Detection (F32)
|
25% |
542
6.23 IPS |
|
|
Face Detection (F16)
|
25% |
751
8.63 IPS |
|
|
Face Detection (I8)
|
75% |
768
8.82 IPS |
|
|
Text Classification (F32)
|
100% |
203
80.3 IPS |
|
|
Text Classification (F16)
|
100% |
214
84.7 IPS |
|
|
Machine Translation (F32)
|
100% |
213
32.8 IPS |
|
|
Machine Translation (F16)
|
100% |
203
31.3 IPS |
