samsung SM-A146P
Geekbench ML Score
222
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 29 2025 10:24 AM |
| Views | 1 |
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 | 3.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
152
16.3 IPS |
|
|
Image Classification (F16)
|
100% |
150
16.0 IPS |
|
|
Image Classification (I8)
|
81% |
181
19.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
334
2.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
333
2.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
601
3.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
108
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
133
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
192
6.74 IPS |
|
|
Object Detection (F16)
|
100% |
196
6.89 IPS |
|
|
Object Detection (I8)
|
52% |
260
9.13 IPS |
|
|
Face Detection (F32)
|
100% |
310
3.56 IPS |
|
|
Face Detection (F16)
|
100% |
288
3.30 IPS |
|
|
Face Detection (I8)
|
75% |
382
4.39 IPS |
|
|
Text Classification (F32)
|
100% |
267
105.4 IPS |
|
|
Text Classification (F16)
|
100% |
258
102.1 IPS |
|
|
Machine Translation (F32)
|
100% |
213
32.8 IPS |
|
|
Machine Translation (F16)
|
100% |
217
33.4 IPS |
