samsung SM-A146P
Geekbench ML Score
202
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 29 2025 01:17 PM |
| 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 | 3.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
149
15.9 IPS |
|
|
Image Classification (F16)
|
100% |
128
13.7 IPS |
|
|
Image Classification (I8)
|
81% |
155
16.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
282
1.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
296
1.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
552
3.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
97
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
115
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
161
5.66 IPS |
|
|
Object Detection (F16)
|
100% |
188
6.60 IPS |
|
|
Object Detection (I8)
|
52% |
259
9.07 IPS |
|
|
Face Detection (F32)
|
100% |
293
3.37 IPS |
|
|
Face Detection (F16)
|
100% |
274
3.14 IPS |
|
|
Face Detection (I8)
|
75% |
338
3.88 IPS |
|
|
Text Classification (F32)
|
100% |
241
95.1 IPS |
|
|
Text Classification (F16)
|
100% |
244
96.4 IPS |
|
|
Machine Translation (F32)
|
100% |
208
32.1 IPS |
|
|
Machine Translation (F16)
|
100% |
209
32.2 IPS |
