samsung SM-A166P
Geekbench ML Score
409
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2024 05:46 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
201
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
596
63.9 IPS |
|
|
Image Classification (I8)
|
80% |
646
69.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
395
2.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
549
3.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
1205
7.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
578
2.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
374
1.51 IPS |
|
|
Object Detection (F32)
|
100% |
308
10.8 IPS |
|
|
Object Detection (F16)
|
99% |
542
19.0 IPS |
|
|
Object Detection (I8)
|
53% |
444
15.6 IPS |
|
|
Face Detection (F32)
|
25% |
548
6.29 IPS |
|
|
Face Detection (F16)
|
25% |
765
8.79 IPS |
|
|
Face Detection (I8)
|
75% |
779
8.95 IPS |
|
|
Text Classification (F32)
|
100% |
206
81.5 IPS |
|
|
Text Classification (F16)
|
100% |
203
80.3 IPS |
|
|
Machine Translation (F32)
|
100% |
197
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
195
30.1 IPS |
