samsung SM-A146P
Geekbench ML Score
471
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 29 2025 07:51 AM |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
262
28.1 IPS |
|
|
Image Classification (F16)
|
100% |
553
59.2 IPS |
|
|
Image Classification (I8)
|
80% |
522
55.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
520
3.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
1161
7.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
1160
7.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
249
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
524
2.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
522
2.11 IPS |
|
|
Object Detection (F32)
|
100% |
241
8.47 IPS |
|
|
Object Detection (F16)
|
100% |
398
14.0 IPS |
|
|
Object Detection (I8)
|
54% |
393
13.8 IPS |
|
|
Face Detection (F32)
|
100% |
601
6.90 IPS |
|
|
Face Detection (F16)
|
97% |
1255
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
1160
13.3 IPS |
|
|
Text Classification (F32)
|
100% |
430
169.9 IPS |
|
|
Text Classification (F16)
|
98% |
388
153.5 IPS |
|
|
Machine Translation (F32)
|
100% |
176
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
182
28.0 IPS |
