samsung SM-A146P
Geekbench ML Score
216
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 11:06 PM |
| 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% |
137
14.7 IPS |
|
|
Image Classification (F16)
|
100% |
140
15.0 IPS |
|
|
Image Classification (I8)
|
81% |
195
20.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
307
1.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
303
1.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
553
3.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
129
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
182
6.40 IPS |
|
|
Object Detection (F16)
|
100% |
185
6.50 IPS |
|
|
Object Detection (I8)
|
52% |
240
8.44 IPS |
|
|
Face Detection (F32)
|
100% |
320
3.68 IPS |
|
|
Face Detection (F16)
|
100% |
314
3.61 IPS |
|
|
Face Detection (I8)
|
75% |
382
4.39 IPS |
|
|
Text Classification (F32)
|
100% |
219
86.6 IPS |
|
|
Text Classification (F16)
|
100% |
214
84.8 IPS |
|
|
Machine Translation (F32)
|
100% |
190
29.3 IPS |
|
|
Machine Translation (F16)
|
100% |
192
29.6 IPS |
