samsung SM-A146U
Geekbench ML Score
259
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 13 2025 06:43 AM |
| Views | 4 |
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% |
321
34.3 IPS |
|
|
Image Classification (F16)
|
100% |
411
44.0 IPS |
|
|
Image Classification (I8)
|
80% |
100
10.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
267
1.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
296
1.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
555
3.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
373
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
703
2.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
254
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
248
8.70 IPS |
|
|
Object Detection (F16)
|
100% |
280
9.82 IPS |
|
|
Object Detection (I8)
|
53% |
128
4.50 IPS |
|
|
Face Detection (F32)
|
100% |
612
7.03 IPS |
|
|
Face Detection (F16)
|
97% |
697
8.00 IPS |
|
|
Face Detection (I8)
|
75% |
270
3.10 IPS |
|
|
Text Classification (F32)
|
100% |
127
50.2 IPS |
|
|
Text Classification (F16)
|
100% |
98
38.6 IPS |
|
|
Machine Translation (F32)
|
100% |
123
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
121
18.7 IPS |
