samsung SM-A166P
Geekbench ML Score
317
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2024 08:02 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 | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
191
20.5 IPS |
|
|
Image Classification (F16)
|
100% |
545
58.4 IPS |
|
|
Image Classification (I8)
|
80% |
338
36.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
334
2.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
464
2.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
740
4.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
566
2.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
217
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
287
10.1 IPS |
|
|
Object Detection (F16)
|
99% |
471
16.5 IPS |
|
|
Object Detection (I8)
|
53% |
258
9.05 IPS |
|
|
Face Detection (F32)
|
25% |
484
5.56 IPS |
|
|
Face Detection (F16)
|
25% |
698
8.02 IPS |
|
|
Face Detection (I8)
|
75% |
438
5.04 IPS |
|
|
Text Classification (F32)
|
100% |
129
51.0 IPS |
|
|
Text Classification (F16)
|
100% |
121
48.0 IPS |
|
|
Machine Translation (F32)
|
100% |
189
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
183
28.1 IPS |
