samsung SM-A146P
Geekbench ML Score
231
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 05 2025 09:45 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 | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
127
13.6 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.4 IPS |
|
|
Image Classification (I8)
|
81% |
184
19.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
353
2.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
359
2.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
596
3.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
135
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
132
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
151
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
190
6.65 IPS |
|
|
Object Detection (F16)
|
100% |
197
6.90 IPS |
|
|
Object Detection (I8)
|
52% |
263
9.24 IPS |
|
|
Face Detection (F32)
|
100% |
328
3.77 IPS |
|
|
Face Detection (F16)
|
100% |
338
3.88 IPS |
|
|
Face Detection (I8)
|
75% |
393
4.52 IPS |
|
|
Text Classification (F32)
|
100% |
261
103.4 IPS |
|
|
Text Classification (F16)
|
100% |
263
104.1 IPS |
|
|
Machine Translation (F32)
|
100% |
214
32.9 IPS |
|
|
Machine Translation (F16)
|
100% |
212
32.7 IPS |
