samsung SM-A146U
Geekbench ML Score
363
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 08:28 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A146U |
| Model ID | samsung SM-A146U |
| Motherboard | a14xm |
| 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 @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
370
39.7 IPS |
|
|
Image Classification (F16)
|
100% |
537
57.6 IPS |
|
|
Image Classification (I8)
|
80% |
181
19.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
368
2.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
414
2.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
988
6.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
376
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
708
2.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
279
1.13 IPS |
|
|
Object Detection (F32)
|
100% |
336
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
399
14.0 IPS |
|
|
Object Detection (I8)
|
53% |
201
7.06 IPS |
|
|
Face Detection (F32)
|
100% |
651
7.48 IPS |
|
|
Face Detection (F16)
|
97% |
926
10.6 IPS |
|
|
Face Detection (I8)
|
75% |
368
4.23 IPS |
|
|
Text Classification (F32)
|
100% |
212
83.8 IPS |
|
|
Text Classification (F16)
|
100% |
188
74.4 IPS |
|
|
Machine Translation (F32)
|
100% |
208
32.1 IPS |
|
|
Machine Translation (F16)
|
100% |
229
35.3 IPS |
