samsung SM-A146P
Geekbench ML Score
216
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 11:59 AM |
| Views | 7 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
147
15.7 IPS |
|
|
Image Classification (F16)
|
100% |
148
15.9 IPS |
|
|
Image Classification (I8)
|
81% |
180
19.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
311
1.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
312
1.92 IPS |
|
|
Image Segmentation (I8)
|
89% |
537
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
119
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
200
7.03 IPS |
|
|
Object Detection (F16)
|
100% |
190
6.65 IPS |
|
|
Object Detection (I8)
|
52% |
226
7.93 IPS |
|
|
Face Detection (F32)
|
100% |
328
3.77 IPS |
|
|
Face Detection (F16)
|
100% |
320
3.67 IPS |
|
|
Face Detection (I8)
|
75% |
404
4.64 IPS |
|
|
Text Classification (F32)
|
100% |
218
86.0 IPS |
|
|
Text Classification (F16)
|
100% |
215
85.2 IPS |
|
|
Machine Translation (F32)
|
100% |
185
28.5 IPS |
|
|
Machine Translation (F16)
|
100% |
186
28.7 IPS |
