samsung SM-A146U
Geekbench ML Score
290
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 13 2025 05:56 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% |
355
38.0 IPS |
|
|
Image Classification (F16)
|
100% |
475
50.9 IPS |
|
|
Image Classification (I8)
|
80% |
162
17.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
320
1.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
297
1.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
671
4.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
711
2.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
262
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
278
9.76 IPS |
|
|
Object Detection (F16)
|
100% |
335
11.7 IPS |
|
|
Object Detection (I8)
|
53% |
154
5.42 IPS |
|
|
Face Detection (F32)
|
100% |
614
7.05 IPS |
|
|
Face Detection (F16)
|
97% |
750
8.62 IPS |
|
|
Face Detection (I8)
|
75% |
286
3.29 IPS |
|
|
Text Classification (F32)
|
100% |
152
60.2 IPS |
|
|
Text Classification (F16)
|
100% |
116
46.1 IPS |
|
|
Machine Translation (F32)
|
100% |
128
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
121
18.7 IPS |
