samsung SM-A146U
Geekbench ML Score
272
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 13 2025 06:11 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% |
346
37.1 IPS |
|
|
Image Classification (F16)
|
100% |
465
49.8 IPS |
|
|
Image Classification (I8)
|
80% |
134
14.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
286
1.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
294
1.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
574
3.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
373
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
707
2.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
275
1.11 IPS |
|
|
Object Detection (F32)
|
100% |
252
8.83 IPS |
|
|
Object Detection (F16)
|
100% |
327
11.5 IPS |
|
|
Object Detection (I8)
|
53% |
135
4.73 IPS |
|
|
Face Detection (F32)
|
100% |
617
7.09 IPS |
|
|
Face Detection (F16)
|
97% |
679
7.80 IPS |
|
|
Face Detection (I8)
|
75% |
211
2.43 IPS |
|
|
Text Classification (F32)
|
100% |
141
55.9 IPS |
|
|
Text Classification (F16)
|
100% |
115
45.6 IPS |
|
|
Machine Translation (F32)
|
100% |
122
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
128
19.7 IPS |
