samsung SM-A146P
Geekbench ML Score
84
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 20 2025 10:17 AM |
| 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 | 5.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
54
5.77 IPS |
|
|
Image Classification (F16)
|
100% |
57
6.14 IPS |
|
|
Image Classification (I8)
|
81% |
74
7.97 IPS |
|
|
Image Segmentation (F32)
|
100% |
128
0.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
126
0.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
128
0.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
43
0.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
41
0.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
21
0.09 IPS |
|
|
Object Detection (F32)
|
100% |
75
2.62 IPS |
|
|
Object Detection (F16)
|
100% |
71
2.47 IPS |
|
|
Object Detection (I8)
|
52% |
88
3.09 IPS |
|
|
Face Detection (F32)
|
100% |
109
1.26 IPS |
|
|
Face Detection (F16)
|
100% |
115
1.32 IPS |
|
|
Face Detection (I8)
|
75% |
99
1.13 IPS |
|
|
Text Classification (F32)
|
100% |
165
65.4 IPS |
|
|
Text Classification (F16)
|
100% |
194
76.9 IPS |
|
|
Machine Translation (F32)
|
100% |
108
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
123
19.0 IPS |
