samsung SM-A146P
Geekbench ML Score
316
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2025 07:58 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A146P |
| Model ID | samsung SM-A146P |
| 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 | 3.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
360
38.6 IPS |
|
|
Image Classification (F16)
|
100% |
477
51.1 IPS |
|
|
Image Classification (I8)
|
80% |
159
17.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
335
2.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
360
2.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
702
4.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
376
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
704
2.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
267
1.08 IPS |
|
|
Object Detection (F32)
|
100% |
292
10.3 IPS |
|
|
Object Detection (F16)
|
100% |
340
11.9 IPS |
|
|
Object Detection (I8)
|
53% |
166
5.83 IPS |
|
|
Face Detection (F32)
|
100% |
641
7.36 IPS |
|
|
Face Detection (F16)
|
97% |
791
9.08 IPS |
|
|
Face Detection (I8)
|
75% |
356
4.09 IPS |
|
|
Text Classification (F32)
|
100% |
154
60.9 IPS |
|
|
Text Classification (F16)
|
100% |
134
53.1 IPS |
|
|
Machine Translation (F32)
|
100% |
181
27.9 IPS |
|
|
Machine Translation (F16)
|
100% |
182
28.1 IPS |
