samsung SM-A146P
Geekbench ML Score
108
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 20 2025 11:01 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 | 5.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
71
7.61 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.89 IPS |
|
|
Image Classification (I8)
|
81% |
81
8.70 IPS |
|
|
Image Segmentation (F32)
|
100% |
161
0.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
158
0.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
323
2.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
47
0.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
46
0.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
60
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
93
3.25 IPS |
|
|
Object Detection (F16)
|
100% |
69
2.41 IPS |
|
|
Object Detection (I8)
|
52% |
116
4.07 IPS |
|
|
Face Detection (F32)
|
100% |
150
1.72 IPS |
|
|
Face Detection (F16)
|
100% |
155
1.78 IPS |
|
|
Face Detection (I8)
|
75% |
190
2.18 IPS |
|
|
Text Classification (F32)
|
100% |
149
58.8 IPS |
|
|
Text Classification (F16)
|
100% |
122
48.2 IPS |
|
|
Machine Translation (F32)
|
100% |
140
21.5 IPS |
|
|
Machine Translation (F16)
|
100% |
131
20.2 IPS |
