samsung SM-A146U
Geekbench ML Score
260
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 25 2025 02:16 AM |
| Views | 1 |
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% |
323
34.6 IPS |
|
|
Image Classification (F16)
|
100% |
414
44.4 IPS |
|
|
Image Classification (I8)
|
80% |
125
13.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
285
1.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
276
1.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
538
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
372
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
703
2.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
231
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
262
9.20 IPS |
|
|
Object Detection (F16)
|
100% |
310
10.9 IPS |
|
|
Object Detection (I8)
|
53% |
129
4.53 IPS |
|
|
Face Detection (F32)
|
100% |
573
6.58 IPS |
|
|
Face Detection (F16)
|
97% |
686
7.88 IPS |
|
|
Face Detection (I8)
|
75% |
279
3.21 IPS |
|
|
Text Classification (F32)
|
100% |
101
40.0 IPS |
|
|
Text Classification (F16)
|
100% |
94
37.2 IPS |
|
|
Machine Translation (F32)
|
100% |
129
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
130
20.0 IPS |
