samsung SM-A166P
Geekbench ML Score
337
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 20 2024 06:45 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 | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
202
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
575
61.6 IPS |
|
|
Image Classification (I8)
|
80% |
435
46.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
317
1.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
426
2.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
684
4.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
581
2.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
200
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
288
10.1 IPS |
|
|
Object Detection (F16)
|
99% |
489
17.2 IPS |
|
|
Object Detection (I8)
|
53% |
313
11.0 IPS |
|
|
Face Detection (F32)
|
25% |
530
6.09 IPS |
|
|
Face Detection (F16)
|
25% |
749
8.61 IPS |
|
|
Face Detection (I8)
|
75% |
529
6.08 IPS |
|
|
Text Classification (F32)
|
100% |
162
64.1 IPS |
|
|
Text Classification (F16)
|
100% |
183
72.4 IPS |
|
|
Machine Translation (F32)
|
100% |
178
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
166
25.6 IPS |
