samsung SM-A166P
Geekbench ML Score
495
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 05:15 PM |
| 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 | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
321
34.4 IPS |
|
|
Image Classification (F16)
|
100% |
547
58.6 IPS |
|
|
Image Classification (I8)
|
80% |
497
53.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
649
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
1235
7.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
1234
7.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
244
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
578
2.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
565
2.28 IPS |
|
|
Object Detection (F32)
|
100% |
287
10.1 IPS |
|
|
Object Detection (F16)
|
100% |
446
15.7 IPS |
|
|
Object Detection (I8)
|
54% |
437
15.4 IPS |
|
|
Face Detection (F32)
|
100% |
678
7.78 IPS |
|
|
Face Detection (F16)
|
97% |
1314
15.1 IPS |
|
|
Face Detection (I8)
|
75% |
1186
13.6 IPS |
|
|
Text Classification (F32)
|
100% |
303
120.0 IPS |
|
|
Text Classification (F16)
|
98% |
289
114.2 IPS |
|
|
Machine Translation (F32)
|
100% |
212
32.7 IPS |
|
|
Machine Translation (F16)
|
100% |
214
33.0 IPS |
