samsung SM-A146P
Geekbench ML Score
388
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 02:19 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A146P |
| Model ID | samsung SM-A146P |
| 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 | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
357
38.3 IPS |
|
|
Image Classification (F16)
|
100% |
536
57.4 IPS |
|
|
Image Classification (I8)
|
80% |
187
20.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
443
2.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
465
2.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
936
5.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
373
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
720
2.91 IPS |
|
|
Pose Estimation (I8)
|
80% |
438
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
372
13.1 IPS |
|
|
Object Detection (F16)
|
100% |
456
16.0 IPS |
|
|
Object Detection (I8)
|
53% |
229
8.03 IPS |
|
|
Face Detection (F32)
|
100% |
680
7.82 IPS |
|
|
Face Detection (F16)
|
97% |
888
10.2 IPS |
|
|
Face Detection (I8)
|
75% |
606
6.96 IPS |
|
|
Text Classification (F32)
|
100% |
209
82.7 IPS |
|
|
Text Classification (F16)
|
100% |
187
73.8 IPS |
|
|
Machine Translation (F32)
|
100% |
189
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
189
29.1 IPS |
