samsung SM-A166P
Geekbench ML Score
483
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 29 2024 01:00 AM |
| 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 | 3.36 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% |
563
60.3 IPS |
|
|
Image Classification (I8)
|
80% |
541
57.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
651
4.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
1235
7.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
1164
7.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
229
0.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
519
2.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
510
2.06 IPS |
|
|
Object Detection (F32)
|
100% |
277
9.70 IPS |
|
|
Object Detection (F16)
|
100% |
442
15.5 IPS |
|
|
Object Detection (I8)
|
54% |
433
15.2 IPS |
|
|
Face Detection (F32)
|
100% |
632
7.26 IPS |
|
|
Face Detection (F16)
|
97% |
1229
14.1 IPS |
|
|
Face Detection (I8)
|
75% |
1086
12.5 IPS |
|
|
Text Classification (F32)
|
100% |
304
120.2 IPS |
|
|
Text Classification (F16)
|
98% |
298
117.9 IPS |
|
|
Machine Translation (F32)
|
100% |
213
32.9 IPS |
|
|
Machine Translation (F16)
|
100% |
214
33.0 IPS |
