samsung SM-A146P
Geekbench ML Score
124
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 07 2025 02:48 AM |
| Views | 4 |
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 | 3.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
88
9.41 IPS |
|
|
Image Classification (F16)
|
100% |
81
8.71 IPS |
|
|
Image Classification (I8)
|
81% |
94
10.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
174
1.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
174
1.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
298
1.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
64
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
66
0.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
73
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
114
4.01 IPS |
|
|
Object Detection (F16)
|
100% |
117
4.12 IPS |
|
|
Object Detection (I8)
|
52% |
149
5.24 IPS |
|
|
Face Detection (F32)
|
100% |
194
2.23 IPS |
|
|
Face Detection (F16)
|
100% |
192
2.21 IPS |
|
|
Face Detection (I8)
|
75% |
215
2.48 IPS |
|
|
Text Classification (F32)
|
100% |
126
49.7 IPS |
|
|
Text Classification (F16)
|
100% |
124
48.9 IPS |
|
|
Machine Translation (F32)
|
100% |
125
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
118
18.1 IPS |
