samsung SM-A146P
Geekbench ML Score
465
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 12:02 PM |
| Views | 13 |
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 | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
265
28.4 IPS |
|
|
Image Classification (F16)
|
100% |
564
60.4 IPS |
|
|
Image Classification (I8)
|
80% |
541
58.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
519
3.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
1174
7.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
1167
7.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
249
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
526
2.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
520
2.11 IPS |
|
|
Object Detection (F32)
|
100% |
243
8.54 IPS |
|
|
Object Detection (F16)
|
100% |
400
14.0 IPS |
|
|
Object Detection (I8)
|
54% |
398
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
607
6.97 IPS |
|
|
Face Detection (F16)
|
97% |
1300
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
1192
13.7 IPS |
|
|
Text Classification (F32)
|
100% |
260
102.9 IPS |
|
|
Text Classification (F16)
|
98% |
373
147.7 IPS |
|
|
Machine Translation (F32)
|
100% |
185
28.6 IPS |
|
|
Machine Translation (F16)
|
100% |
190
29.3 IPS |
