samsung SM-A146P
Geekbench ML Score
259
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 11:30 PM |
| Views | 4 |
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 | 3.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
341
36.6 IPS |
|
|
Image Classification (F16)
|
100% |
465
49.9 IPS |
|
|
Image Classification (I8)
|
80% |
122
13.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
288
1.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
273
1.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
460
2.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
371
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
706
2.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
196
0.79 IPS |
|
|
Object Detection (F32)
|
100% |
261
9.16 IPS |
|
|
Object Detection (F16)
|
100% |
303
10.6 IPS |
|
|
Object Detection (I8)
|
53% |
117
4.10 IPS |
|
|
Face Detection (F32)
|
100% |
610
7.01 IPS |
|
|
Face Detection (F16)
|
97% |
690
7.92 IPS |
|
|
Face Detection (I8)
|
75% |
275
3.16 IPS |
|
|
Text Classification (F32)
|
100% |
125
49.3 IPS |
|
|
Text Classification (F16)
|
100% |
99
39.0 IPS |
|
|
Machine Translation (F32)
|
100% |
117
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
135
20.9 IPS |
