samsung SM-A146U
Geekbench ML Score
109
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 27 2025 02:24 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% |
83
8.89 IPS |
|
|
Image Classification (F16)
|
100% |
69
7.44 IPS |
|
|
Image Classification (I8)
|
81% |
87
9.35 IPS |
|
|
Image Segmentation (F32)
|
100% |
153
0.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
154
0.95 IPS |
|
|
Image Segmentation (I8)
|
89% |
306
1.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
53
0.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
52
0.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
62
0.25 IPS |
|
|
Object Detection (F32)
|
100% |
85
2.97 IPS |
|
|
Object Detection (F16)
|
100% |
99
3.48 IPS |
|
|
Object Detection (I8)
|
52% |
126
4.43 IPS |
|
|
Face Detection (F32)
|
100% |
161
1.85 IPS |
|
|
Face Detection (F16)
|
100% |
136
1.56 IPS |
|
|
Face Detection (I8)
|
75% |
197
2.27 IPS |
|
|
Text Classification (F32)
|
100% |
115
45.3 IPS |
|
|
Text Classification (F16)
|
100% |
119
47.1 IPS |
|
|
Machine Translation (F32)
|
100% |
126
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
122
18.9 IPS |
