samsung SM-A146U
Geekbench ML Score
386
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 29 2025 11:50 PM |
| Views | 3 |
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% |
364
39.0 IPS |
|
|
Image Classification (F16)
|
100% |
536
57.4 IPS |
|
|
Image Classification (I8)
|
80% |
218
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
445
2.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
461
2.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
896
5.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
378
1.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
731
2.96 IPS |
|
|
Pose Estimation (I8)
|
80% |
341
1.38 IPS |
|
|
Object Detection (F32)
|
100% |
354
12.4 IPS |
|
|
Object Detection (F16)
|
100% |
415
14.6 IPS |
|
|
Object Detection (I8)
|
53% |
258
9.06 IPS |
|
|
Face Detection (F32)
|
100% |
705
8.10 IPS |
|
|
Face Detection (F16)
|
97% |
875
10.1 IPS |
|
|
Face Detection (I8)
|
75% |
477
5.48 IPS |
|
|
Text Classification (F32)
|
100% |
216
85.3 IPS |
|
|
Text Classification (F16)
|
100% |
187
73.8 IPS |
|
|
Machine Translation (F32)
|
100% |
213
32.8 IPS |
|
|
Machine Translation (F16)
|
100% |
206
31.7 IPS |
