samsung SM-A146P
Geekbench ML Score
339
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 07 2025 06:17 PM |
| Views | 3 |
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% |
364
39.0 IPS |
|
|
Image Classification (F16)
|
100% |
549
58.8 IPS |
|
|
Image Classification (I8)
|
80% |
208
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
425
2.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
406
2.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
940
5.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
711
2.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
293
1.19 IPS |
|
|
Object Detection (F32)
|
100% |
360
12.6 IPS |
|
|
Object Detection (F16)
|
100% |
455
16.0 IPS |
|
|
Object Detection (I8)
|
53% |
247
8.65 IPS |
|
|
Face Detection (F32)
|
100% |
680
7.82 IPS |
|
|
Face Detection (F16)
|
97% |
872
10.0 IPS |
|
|
Face Detection (I8)
|
75% |
411
4.72 IPS |
|
|
Text Classification (F32)
|
100% |
97
38.2 IPS |
|
|
Text Classification (F16)
|
100% |
98
38.8 IPS |
|
|
Machine Translation (F32)
|
100% |
149
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
168
25.9 IPS |
