samsung SM-A146P
Geekbench ML Score
240
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 12:31 AM |
| 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 | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
142
15.2 IPS |
|
|
Image Classification (F16)
|
100% |
144
15.4 IPS |
|
|
Image Classification (I8)
|
81% |
176
18.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
371
2.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
377
2.33 IPS |
|
|
Image Segmentation (I8)
|
89% |
595
3.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
132
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
212
7.43 IPS |
|
|
Object Detection (F16)
|
100% |
212
7.44 IPS |
|
|
Object Detection (I8)
|
52% |
262
9.18 IPS |
|
|
Face Detection (F32)
|
100% |
352
4.05 IPS |
|
|
Face Detection (F16)
|
100% |
351
4.04 IPS |
|
|
Face Detection (I8)
|
75% |
398
4.58 IPS |
|
|
Text Classification (F32)
|
100% |
263
103.9 IPS |
|
|
Text Classification (F16)
|
100% |
301
118.9 IPS |
|
|
Machine Translation (F32)
|
100% |
212
32.7 IPS |
|
|
Machine Translation (F16)
|
100% |
213
32.9 IPS |
