samsung SM-A146P
Geekbench ML Score
216
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 02:11 AM |
| Views | 10 |
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% |
148
15.9 IPS |
|
|
Image Classification (F16)
|
100% |
150
16.0 IPS |
|
|
Image Classification (I8)
|
81% |
161
17.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
312
1.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
313
1.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
559
3.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
124
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
144
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
197
6.93 IPS |
|
|
Object Detection (F16)
|
100% |
201
7.04 IPS |
|
|
Object Detection (I8)
|
52% |
230
8.07 IPS |
|
|
Face Detection (F32)
|
100% |
326
3.74 IPS |
|
|
Face Detection (F16)
|
100% |
297
3.41 IPS |
|
|
Face Detection (I8)
|
75% |
373
4.29 IPS |
|
|
Text Classification (F32)
|
100% |
215
85.1 IPS |
|
|
Text Classification (F16)
|
100% |
215
84.9 IPS |
|
|
Machine Translation (F32)
|
100% |
189
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
194
29.9 IPS |
