samsung SM-A146P
Geekbench ML Score
317
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2025 11:20 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 | 5.40 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
355
38.0 IPS |
|
|
Image Classification (F16)
|
100% |
486
52.1 IPS |
|
|
Image Classification (I8)
|
80% |
158
16.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
318
1.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
356
2.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
673
4.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
375
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
705
2.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
264
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
297
10.4 IPS |
|
|
Object Detection (F16)
|
100% |
364
12.8 IPS |
|
|
Object Detection (I8)
|
53% |
176
6.18 IPS |
|
|
Face Detection (F32)
|
100% |
640
7.36 IPS |
|
|
Face Detection (F16)
|
97% |
789
9.06 IPS |
|
|
Face Detection (I8)
|
75% |
363
4.17 IPS |
|
|
Text Classification (F32)
|
100% |
155
61.5 IPS |
|
|
Text Classification (F16)
|
100% |
132
52.3 IPS |
|
|
Machine Translation (F32)
|
100% |
185
28.5 IPS |
|
|
Machine Translation (F16)
|
100% |
175
27.0 IPS |
