samsung SM-A146P
Geekbench ML Score
406
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 11:24 PM |
| 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 | 3.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
250
26.8 IPS |
|
|
Image Classification (F16)
|
100% |
491
52.6 IPS |
|
|
Image Classification (I8)
|
80% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
517
3.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
1138
7.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
1107
6.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
244
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
490
1.98 IPS |
|
|
Pose Estimation (I8)
|
80% |
490
1.98 IPS |
|
|
Object Detection (F32)
|
100% |
189
6.63 IPS |
|
|
Object Detection (F16)
|
100% |
287
10.1 IPS |
|
|
Object Detection (I8)
|
54% |
296
10.4 IPS |
|
|
Face Detection (F32)
|
100% |
572
6.57 IPS |
|
|
Face Detection (F16)
|
97% |
1120
12.9 IPS |
|
|
Face Detection (I8)
|
75% |
1034
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
358
141.6 IPS |
|
|
Text Classification (F16)
|
98% |
332
131.2 IPS |
|
|
Machine Translation (F32)
|
100% |
116
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
120
18.6 IPS |
