samsung SM-A146U
Geekbench ML Score
324
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 29 2025 09:29 PM |
| Views | 5 |
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% |
356
38.2 IPS |
|
|
Image Classification (F16)
|
100% |
463
49.6 IPS |
|
|
Image Classification (I8)
|
80% |
152
16.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
336
2.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
350
2.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
623
3.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
708
2.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
314
1.27 IPS |
|
|
Object Detection (F32)
|
100% |
292
10.3 IPS |
|
|
Object Detection (F16)
|
100% |
358
12.5 IPS |
|
|
Object Detection (I8)
|
53% |
206
7.23 IPS |
|
|
Face Detection (F32)
|
100% |
675
7.75 IPS |
|
|
Face Detection (F16)
|
97% |
721
8.29 IPS |
|
|
Face Detection (I8)
|
75% |
403
4.63 IPS |
|
|
Text Classification (F32)
|
100% |
162
64.1 IPS |
|
|
Text Classification (F16)
|
100% |
143
56.6 IPS |
|
|
Machine Translation (F32)
|
100% |
186
28.7 IPS |
|
|
Machine Translation (F16)
|
100% |
184
28.4 IPS |
