samsung SM-A146U
Geekbench ML Score
269
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 26 2025 12:57 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% |
348
37.3 IPS |
|
|
Image Classification (F16)
|
100% |
456
48.8 IPS |
|
|
Image Classification (I8)
|
80% |
113
12.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
274
1.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
290
1.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
610
3.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
705
2.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
252
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
233
8.16 IPS |
|
|
Object Detection (F16)
|
100% |
319
11.2 IPS |
|
|
Object Detection (I8)
|
53% |
147
5.16 IPS |
|
|
Face Detection (F32)
|
100% |
624
7.16 IPS |
|
|
Face Detection (F16)
|
97% |
685
7.87 IPS |
|
|
Face Detection (I8)
|
75% |
289
3.32 IPS |
|
|
Text Classification (F32)
|
100% |
128
50.8 IPS |
|
|
Text Classification (F16)
|
100% |
101
39.9 IPS |
|
|
Machine Translation (F32)
|
100% |
124
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
120
18.5 IPS |
