samsung SM-A146P
Geekbench ML Score
343
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 29 2025 01:24 PM |
| Views | 1 |
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 | 3.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
367
39.3 IPS |
|
|
Image Classification (F16)
|
100% |
485
52.0 IPS |
|
|
Image Classification (I8)
|
80% |
169
18.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
377
2.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
392
2.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
763
4.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
375
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
707
2.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
217
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
330
11.6 IPS |
|
|
Object Detection (F16)
|
100% |
409
14.4 IPS |
|
|
Object Detection (I8)
|
53% |
197
6.93 IPS |
|
|
Face Detection (F32)
|
100% |
664
7.63 IPS |
|
|
Face Detection (F16)
|
97% |
886
10.2 IPS |
|
|
Face Detection (I8)
|
75% |
392
4.51 IPS |
|
|
Text Classification (F32)
|
100% |
193
76.4 IPS |
|
|
Text Classification (F16)
|
100% |
166
65.6 IPS |
|
|
Machine Translation (F32)
|
100% |
202
31.1 IPS |
|
|
Machine Translation (F16)
|
100% |
197
30.3 IPS |
