samsung SM-A146U
Geekbench ML Score
299
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 16 2025 10:04 PM |
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
364
39.0 IPS |
|
|
Image Classification (F16)
|
100% |
473
50.6 IPS |
|
|
Image Classification (I8)
|
80% |
144
15.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
316
1.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
303
1.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
669
4.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
377
1.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
706
2.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
268
1.08 IPS |
|
|
Object Detection (F32)
|
100% |
278
9.76 IPS |
|
|
Object Detection (F16)
|
100% |
329
11.6 IPS |
|
|
Object Detection (I8)
|
53% |
143
5.02 IPS |
|
|
Face Detection (F32)
|
100% |
647
7.44 IPS |
|
|
Face Detection (F16)
|
97% |
741
8.51 IPS |
|
|
Face Detection (I8)
|
75% |
341
3.92 IPS |
|
|
Text Classification (F32)
|
100% |
134
53.2 IPS |
|
|
Text Classification (F16)
|
100% |
126
49.6 IPS |
|
|
Machine Translation (F32)
|
100% |
171
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
161
24.8 IPS |
