samsung SM-A146P
Geekbench ML Score
207
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 07 2025 06:11 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% |
134
14.4 IPS |
|
|
Image Classification (F16)
|
100% |
129
13.8 IPS |
|
|
Image Classification (I8)
|
81% |
181
19.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
298
1.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
296
1.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
588
3.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
91
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
195
6.85 IPS |
|
|
Object Detection (F16)
|
100% |
169
5.94 IPS |
|
|
Object Detection (I8)
|
52% |
242
8.48 IPS |
|
|
Face Detection (F32)
|
100% |
293
3.36 IPS |
|
|
Face Detection (F16)
|
100% |
225
2.58 IPS |
|
|
Face Detection (I8)
|
75% |
342
3.92 IPS |
|
|
Text Classification (F32)
|
100% |
273
107.8 IPS |
|
|
Text Classification (F16)
|
100% |
257
101.6 IPS |
|
|
Machine Translation (F32)
|
100% |
234
36.0 IPS |
|
|
Machine Translation (F16)
|
100% |
215
33.1 IPS |
