samsung SM-A166P
Geekbench ML Score
410
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 04:02 PM |
| Views | 1 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
203
21.7 IPS |
|
|
Image Classification (F16)
|
100% |
599
64.2 IPS |
|
|
Image Classification (I8)
|
80% |
652
69.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
396
2.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
548
3.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
1178
7.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
571
2.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
384
1.55 IPS |
|
|
Object Detection (F32)
|
100% |
314
11.0 IPS |
|
|
Object Detection (F16)
|
99% |
550
19.3 IPS |
|
|
Object Detection (I8)
|
53% |
444
15.6 IPS |
|
|
Face Detection (F32)
|
25% |
539
6.19 IPS |
|
|
Face Detection (F16)
|
25% |
764
8.78 IPS |
|
|
Face Detection (I8)
|
75% |
765
8.79 IPS |
|
|
Text Classification (F32)
|
100% |
202
79.8 IPS |
|
|
Text Classification (F16)
|
100% |
212
83.9 IPS |
|
|
Machine Translation (F32)
|
100% |
202
31.2 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.2 IPS |
