samsung SM-A146P
Geekbench ML Score
163
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2025 06:15 PM |
| Views | 8 |
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 | 5.40 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
141
15.1 IPS |
|
|
Image Classification (F16)
|
100% |
95
10.1 IPS |
|
|
Image Classification (I8)
|
81% |
124
13.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
225
1.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
220
1.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
427
2.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
68
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
87
0.35 IPS |
|
|
Object Detection (F32)
|
100% |
141
4.96 IPS |
|
|
Object Detection (F16)
|
100% |
139
4.87 IPS |
|
|
Object Detection (I8)
|
52% |
176
6.18 IPS |
|
|
Face Detection (F32)
|
100% |
236
2.72 IPS |
|
|
Face Detection (F16)
|
100% |
190
2.18 IPS |
|
|
Face Detection (I8)
|
75% |
288
3.30 IPS |
|
|
Text Classification (F32)
|
100% |
218
86.3 IPS |
|
|
Text Classification (F16)
|
100% |
219
86.6 IPS |
|
|
Machine Translation (F32)
|
100% |
183
28.2 IPS |
|
|
Machine Translation (F16)
|
100% |
170
26.2 IPS |
