samsung SM-A166P
Geekbench ML Score
478
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 11 2025 11:35 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
315
33.8 IPS |
|
|
Image Classification (F16)
|
100% |
569
60.9 IPS |
|
|
Image Classification (I8)
|
80% |
561
60.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
650
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
1244
7.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
1235
7.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
234
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
544
2.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
553
2.24 IPS |
|
|
Object Detection (F32)
|
100% |
270
9.49 IPS |
|
|
Object Detection (F16)
|
100% |
422
14.8 IPS |
|
|
Object Detection (I8)
|
54% |
453
15.9 IPS |
|
|
Face Detection (F32)
|
100% |
653
7.51 IPS |
|
|
Face Detection (F16)
|
97% |
1167
13.4 IPS |
|
|
Face Detection (I8)
|
75% |
1105
12.7 IPS |
|
|
Text Classification (F32)
|
100% |
220
87.1 IPS |
|
|
Text Classification (F16)
|
98% |
326
128.7 IPS |
|
|
Machine Translation (F32)
|
100% |
195
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.2 IPS |
