samsung SM-A146P
Geekbench ML Score
362
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 03:11 PM |
| Views | 6 |
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% |
355
38.0 IPS |
|
|
Image Classification (F16)
|
100% |
530
56.8 IPS |
|
|
Image Classification (I8)
|
80% |
171
18.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
432
2.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
423
2.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
855
5.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
375
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
723
2.92 IPS |
|
|
Pose Estimation (I8)
|
80% |
278
1.13 IPS |
|
|
Object Detection (F32)
|
100% |
339
11.9 IPS |
|
|
Object Detection (F16)
|
100% |
416
14.6 IPS |
|
|
Object Detection (I8)
|
53% |
208
7.29 IPS |
|
|
Face Detection (F32)
|
100% |
672
7.72 IPS |
|
|
Face Detection (F16)
|
97% |
858
9.85 IPS |
|
|
Face Detection (I8)
|
75% |
433
4.98 IPS |
|
|
Text Classification (F32)
|
100% |
206
81.3 IPS |
|
|
Text Classification (F16)
|
100% |
174
68.9 IPS |
|
|
Machine Translation (F32)
|
100% |
205
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
209
32.3 IPS |
