samsung SM-A146U
Geekbench ML Score
401
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 29 2025 07:57 PM |
| Views | 4 |
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% |
371
39.7 IPS |
|
|
Image Classification (F16)
|
100% |
557
59.7 IPS |
|
|
Image Classification (I8)
|
80% |
217
23.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
439
2.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
461
2.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
929
5.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
379
1.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
729
2.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
414
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
371
13.0 IPS |
|
|
Object Detection (F16)
|
100% |
477
16.7 IPS |
|
|
Object Detection (I8)
|
53% |
308
10.8 IPS |
|
|
Face Detection (F32)
|
100% |
681
7.83 IPS |
|
|
Face Detection (F16)
|
97% |
922
10.6 IPS |
|
|
Face Detection (I8)
|
75% |
513
5.89 IPS |
|
|
Text Classification (F32)
|
100% |
260
102.9 IPS |
|
|
Text Classification (F16)
|
100% |
187
74.0 IPS |
|
|
Machine Translation (F32)
|
100% |
190
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
187
28.9 IPS |
