samsung SM-A146P
Geekbench ML Score
278
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 12:49 AM |
| Views | 1 |
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% |
346
37.1 IPS |
|
|
Image Classification (F16)
|
100% |
439
47.0 IPS |
|
|
Image Classification (I8)
|
80% |
118
12.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
354
2.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
369
2.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
553
3.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
370
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
710
2.87 IPS |
|
|
Pose Estimation (I8)
|
80% |
145
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
268
9.41 IPS |
|
|
Object Detection (F16)
|
100% |
350
12.3 IPS |
|
|
Object Detection (I8)
|
53% |
141
4.94 IPS |
|
|
Face Detection (F32)
|
100% |
662
7.61 IPS |
|
|
Face Detection (F16)
|
97% |
734
8.43 IPS |
|
|
Face Detection (I8)
|
75% |
281
3.23 IPS |
|
|
Text Classification (F32)
|
100% |
114
45.1 IPS |
|
|
Text Classification (F16)
|
100% |
116
45.7 IPS |
|
|
Machine Translation (F32)
|
100% |
166
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
144
22.2 IPS |
