samsung SM-A146U
Geekbench ML Score
411
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 11:30 PM |
| 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 | 3.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
371
39.8 IPS |
|
|
Image Classification (F16)
|
100% |
549
58.8 IPS |
|
|
Image Classification (I8)
|
80% |
248
26.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
446
2.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
467
2.89 IPS |
|
|
Image Segmentation (I8)
|
89% |
932
5.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
376
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
730
2.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
553
2.24 IPS |
|
|
Object Detection (F32)
|
100% |
364
12.8 IPS |
|
|
Object Detection (F16)
|
100% |
478
16.8 IPS |
|
|
Object Detection (I8)
|
53% |
280
9.82 IPS |
|
|
Face Detection (F32)
|
100% |
693
7.96 IPS |
|
|
Face Detection (F16)
|
97% |
928
10.7 IPS |
|
|
Face Detection (I8)
|
75% |
700
8.04 IPS |
|
|
Text Classification (F32)
|
100% |
212
83.8 IPS |
|
|
Text Classification (F16)
|
100% |
186
73.5 IPS |
|
|
Machine Translation (F32)
|
100% |
189
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
190
29.3 IPS |
