samsung SM-A146U
Geekbench ML Score
338
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 25 2025 01:49 AM |
| Views | 1 |
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% |
357
38.3 IPS |
|
|
Image Classification (F16)
|
100% |
487
52.2 IPS |
|
|
Image Classification (I8)
|
80% |
176
18.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
350
2.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
366
2.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
762
4.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
716
2.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
306
1.24 IPS |
|
|
Object Detection (F32)
|
100% |
285
9.99 IPS |
|
|
Object Detection (F16)
|
100% |
321
11.3 IPS |
|
|
Object Detection (I8)
|
53% |
197
6.90 IPS |
|
|
Face Detection (F32)
|
100% |
638
7.33 IPS |
|
|
Face Detection (F16)
|
97% |
842
9.67 IPS |
|
|
Face Detection (I8)
|
75% |
380
4.37 IPS |
|
|
Text Classification (F32)
|
100% |
248
98.0 IPS |
|
|
Text Classification (F16)
|
100% |
146
57.8 IPS |
|
|
Machine Translation (F32)
|
100% |
188
29.0 IPS |
|
|
Machine Translation (F16)
|
100% |
189
29.1 IPS |
