samsung SM-A166P
Geekbench ML Score
286
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2024 01:35 AM |
| 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 | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
194
20.8 IPS |
|
|
Image Classification (F16)
|
100% |
485
52.0 IPS |
|
|
Image Classification (I8)
|
80% |
321
34.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
263
1.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
347
2.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
580
3.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
251
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
564
2.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
157
0.64 IPS |
|
|
Object Detection (F32)
|
100% |
254
8.90 IPS |
|
|
Object Detection (F16)
|
99% |
368
12.9 IPS |
|
|
Object Detection (I8)
|
53% |
235
8.24 IPS |
|
|
Face Detection (F32)
|
25% |
492
5.66 IPS |
|
|
Face Detection (F16)
|
25% |
662
7.60 IPS |
|
|
Face Detection (I8)
|
75% |
352
4.04 IPS |
|
|
Text Classification (F32)
|
100% |
144
56.9 IPS |
|
|
Text Classification (F16)
|
100% |
130
51.4 IPS |
|
|
Machine Translation (F32)
|
100% |
179
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
167
25.7 IPS |
