samsung SM-A166P
Geekbench ML Score
423
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 10:47 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
248
26.5 IPS |
|
|
Image Classification (F16)
|
100% |
459
49.2 IPS |
|
|
Image Classification (I8)
|
80% |
439
47.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
506
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
967
5.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
922
5.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
183
0.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
412
1.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
410
1.66 IPS |
|
|
Object Detection (F32)
|
100% |
232
8.15 IPS |
|
|
Object Detection (F16)
|
100% |
404
14.2 IPS |
|
|
Object Detection (I8)
|
54% |
412
14.5 IPS |
|
|
Face Detection (F32)
|
100% |
594
6.82 IPS |
|
|
Face Detection (F16)
|
97% |
1117
12.8 IPS |
|
|
Face Detection (I8)
|
75% |
1020
11.7 IPS |
|
|
Text Classification (F32)
|
100% |
376
148.6 IPS |
|
|
Text Classification (F16)
|
98% |
305
120.5 IPS |
|
|
Machine Translation (F32)
|
100% |
202
31.1 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.1 IPS |
