samsung SM-A166P
Geekbench ML Score
332
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 09 2024 05:00 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 | 5.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
193
20.7 IPS |
|
|
Image Classification (F16)
|
100% |
558
59.8 IPS |
|
|
Image Classification (I8)
|
80% |
352
37.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
491
3.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
807
4.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
562
2.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
254
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
298
10.5 IPS |
|
|
Object Detection (F16)
|
99% |
483
16.9 IPS |
|
|
Object Detection (I8)
|
53% |
275
9.63 IPS |
|
|
Face Detection (F32)
|
25% |
496
5.70 IPS |
|
|
Face Detection (F16)
|
25% |
710
8.16 IPS |
|
|
Face Detection (I8)
|
75% |
484
5.56 IPS |
|
|
Text Classification (F32)
|
100% |
133
52.6 IPS |
|
|
Text Classification (F16)
|
100% |
123
48.7 IPS |
|
|
Machine Translation (F32)
|
100% |
200
30.9 IPS |
|
|
Machine Translation (F16)
|
100% |
195
30.0 IPS |
