samsung SM-A146U
Geekbench ML Score
357
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 11:13 PM |
| Views | 9 |
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% |
365
39.1 IPS |
|
|
Image Classification (F16)
|
100% |
534
57.2 IPS |
|
|
Image Classification (I8)
|
80% |
166
17.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
409
2.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
417
2.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
897
5.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
372
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
711
2.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
370
1.50 IPS |
|
|
Object Detection (F32)
|
100% |
337
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
314
11.0 IPS |
|
|
Object Detection (I8)
|
53% |
190
6.66 IPS |
|
|
Face Detection (F32)
|
100% |
659
7.57 IPS |
|
|
Face Detection (F16)
|
97% |
789
9.06 IPS |
|
|
Face Detection (I8)
|
75% |
406
4.66 IPS |
|
|
Text Classification (F32)
|
100% |
202
79.9 IPS |
|
|
Text Classification (F16)
|
100% |
170
67.0 IPS |
|
|
Machine Translation (F32)
|
100% |
215
33.2 IPS |
|
|
Machine Translation (F16)
|
100% |
209
32.2 IPS |
