samsung SM-A146P
Geekbench ML Score
235
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 06:10 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 | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
152
16.3 IPS |
|
|
Image Classification (F16)
|
100% |
155
16.6 IPS |
|
|
Image Classification (I8)
|
81% |
177
19.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
370
2.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
374
2.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
607
3.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
128
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
114
0.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
147
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
198
6.95 IPS |
|
|
Object Detection (F16)
|
100% |
200
7.03 IPS |
|
|
Object Detection (I8)
|
52% |
309
10.9 IPS |
|
|
Face Detection (F32)
|
100% |
335
3.85 IPS |
|
|
Face Detection (F16)
|
100% |
309
3.55 IPS |
|
|
Face Detection (I8)
|
75% |
394
4.52 IPS |
|
|
Text Classification (F32)
|
100% |
292
115.6 IPS |
|
|
Text Classification (F16)
|
100% |
260
102.7 IPS |
|
|
Machine Translation (F32)
|
100% |
206
31.8 IPS |
|
|
Machine Translation (F16)
|
100% |
207
31.8 IPS |
