samsung SM-A166P
Geekbench ML Score
482
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2024 07:13 PM |
| Views | 2 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
312
33.4 IPS |
|
|
Image Classification (F16)
|
100% |
574
61.5 IPS |
|
|
Image Classification (I8)
|
80% |
523
56.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
650
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
1203
7.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
1215
7.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
228
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
545
2.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
551
2.23 IPS |
|
|
Object Detection (F32)
|
100% |
288
10.1 IPS |
|
|
Object Detection (F16)
|
100% |
447
15.7 IPS |
|
|
Object Detection (I8)
|
54% |
450
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
650
7.47 IPS |
|
|
Face Detection (F16)
|
97% |
1185
13.6 IPS |
|
|
Face Detection (I8)
|
75% |
1102
12.7 IPS |
|
|
Text Classification (F32)
|
100% |
218
86.4 IPS |
|
|
Text Classification (F16)
|
98% |
335
132.5 IPS |
|
|
Machine Translation (F32)
|
100% |
212
32.6 IPS |
|
|
Machine Translation (F16)
|
100% |
210
32.4 IPS |
