samsung SM-A146U
Geekbench ML Score
271
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 25 2025 12:55 AM |
| Views | 3 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
328
35.1 IPS |
|
|
Image Classification (F16)
|
100% |
441
47.2 IPS |
|
|
Image Classification (I8)
|
80% |
117
12.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
287
1.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
278
1.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
583
3.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
369
1.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
701
2.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
268
1.08 IPS |
|
|
Object Detection (F32)
|
100% |
269
9.45 IPS |
|
|
Object Detection (F16)
|
100% |
303
10.6 IPS |
|
|
Object Detection (I8)
|
53% |
130
4.57 IPS |
|
|
Face Detection (F32)
|
100% |
601
6.90 IPS |
|
|
Face Detection (F16)
|
97% |
700
8.05 IPS |
|
|
Face Detection (I8)
|
75% |
290
3.33 IPS |
|
|
Text Classification (F32)
|
100% |
110
43.5 IPS |
|
|
Text Classification (F16)
|
100% |
96
37.9 IPS |
|
|
Machine Translation (F32)
|
100% |
152
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
154
23.7 IPS |
