samsung SM-A146P
Geekbench ML Score
387
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 20 2025 01:28 PM |
| Views | 4 |
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 | 3.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
249
26.7 IPS |
|
|
Image Classification (F16)
|
100% |
492
52.7 IPS |
|
|
Image Classification (I8)
|
80% |
454
48.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
502
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
1048
6.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
1055
6.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
493
1.99 IPS |
|
|
Pose Estimation (I8)
|
80% |
507
2.05 IPS |
|
|
Object Detection (F32)
|
100% |
173
6.06 IPS |
|
|
Object Detection (F16)
|
100% |
242
8.48 IPS |
|
|
Object Detection (I8)
|
54% |
235
8.24 IPS |
|
|
Face Detection (F32)
|
100% |
557
6.39 IPS |
|
|
Face Detection (F16)
|
97% |
1074
12.3 IPS |
|
|
Face Detection (I8)
|
75% |
1051
12.1 IPS |
|
|
Text Classification (F32)
|
100% |
266
105.2 IPS |
|
|
Text Classification (F16)
|
98% |
321
126.9 IPS |
|
|
Machine Translation (F32)
|
100% |
124
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
124
19.1 IPS |
