samsung SM-A146U
Geekbench ML Score
260
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 13 2025 06:34 AM |
| 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 | 3.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
323
34.6 IPS |
|
|
Image Classification (F16)
|
100% |
444
47.6 IPS |
|
|
Image Classification (I8)
|
80% |
124
13.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
269
1.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
248
1.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
539
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
375
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
706
2.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
247
8.67 IPS |
|
|
Object Detection (F16)
|
100% |
279
9.81 IPS |
|
|
Object Detection (I8)
|
53% |
123
4.33 IPS |
|
|
Face Detection (F32)
|
100% |
612
7.03 IPS |
|
|
Face Detection (F16)
|
97% |
679
7.80 IPS |
|
|
Face Detection (I8)
|
75% |
297
3.41 IPS |
|
|
Text Classification (F32)
|
100% |
126
49.9 IPS |
|
|
Text Classification (F16)
|
100% |
98
38.6 IPS |
|
|
Machine Translation (F32)
|
100% |
118
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
126
19.4 IPS |
