samsung SM-A146P
Geekbench ML Score
77
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 20 2025 02:48 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 | 3.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
44
4.68 IPS |
|
|
Image Classification (F16)
|
100% |
44
4.72 IPS |
|
|
Image Classification (I8)
|
81% |
72
7.76 IPS |
|
|
Image Segmentation (F32)
|
100% |
102
0.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
104
0.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
132
0.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
35
0.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
35
0.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
23
0.09 IPS |
|
|
Object Detection (F32)
|
100% |
61
2.14 IPS |
|
|
Object Detection (F16)
|
100% |
59
2.07 IPS |
|
|
Object Detection (I8)
|
52% |
88
3.07 IPS |
|
|
Face Detection (F32)
|
100% |
98
1.13 IPS |
|
|
Face Detection (F16)
|
100% |
96
1.10 IPS |
|
|
Face Detection (I8)
|
75% |
101
1.16 IPS |
|
|
Text Classification (F32)
|
100% |
173
68.3 IPS |
|
|
Text Classification (F16)
|
100% |
172
68.0 IPS |
|
|
Machine Translation (F32)
|
100% |
124
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
124
19.1 IPS |
