samsung SM-A146U
Geekbench ML Score
98
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 13 2025 06:34 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A146U |
| Model ID | samsung SM-A146U |
| 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% |
70
7.51 IPS |
|
|
Image Classification (F16)
|
100% |
57
6.11 IPS |
|
|
Image Classification (I8)
|
81% |
62
6.66 IPS |
|
|
Image Segmentation (F32)
|
100% |
140
0.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
156
0.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
216
1.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
49
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
47
0.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
55
0.22 IPS |
|
|
Object Detection (F32)
|
100% |
76
2.67 IPS |
|
|
Object Detection (F16)
|
100% |
77
2.70 IPS |
|
|
Object Detection (I8)
|
52% |
96
3.37 IPS |
|
|
Face Detection (F32)
|
100% |
174
2.00 IPS |
|
|
Face Detection (F16)
|
100% |
149
1.72 IPS |
|
|
Face Detection (I8)
|
75% |
171
1.96 IPS |
|
|
Text Classification (F32)
|
100% |
126
49.7 IPS |
|
|
Text Classification (F16)
|
100% |
103
40.8 IPS |
|
|
Machine Translation (F32)
|
100% |
123
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
128
19.7 IPS |
