samsung SM-A146U
Geekbench ML Score
283
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 15 2025 06:44 AM |
| Views | 7 |
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% |
350
37.5 IPS |
|
|
Image Classification (F16)
|
100% |
466
50.0 IPS |
|
|
Image Classification (I8)
|
80% |
153
16.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
282
1.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
283
1.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
534
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
707
2.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
270
1.09 IPS |
|
|
Object Detection (F32)
|
100% |
246
8.64 IPS |
|
|
Object Detection (F16)
|
100% |
323
11.3 IPS |
|
|
Object Detection (I8)
|
53% |
152
5.32 IPS |
|
|
Face Detection (F32)
|
100% |
621
7.13 IPS |
|
|
Face Detection (F16)
|
97% |
711
8.16 IPS |
|
|
Face Detection (I8)
|
75% |
261
3.00 IPS |
|
|
Text Classification (F32)
|
100% |
147
58.0 IPS |
|
|
Text Classification (F16)
|
100% |
115
45.4 IPS |
|
|
Machine Translation (F32)
|
100% |
156
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
145
22.3 IPS |
