samsung SM-A146P
Geekbench ML Score
238
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 12:02 AM |
| Views | 2 |
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% |
150
16.1 IPS |
|
|
Image Classification (F16)
|
100% |
146
15.6 IPS |
|
|
Image Classification (I8)
|
81% |
178
19.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
374
2.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
369
2.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
609
3.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
132
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
128
0.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
207
7.25 IPS |
|
|
Object Detection (F16)
|
100% |
212
7.45 IPS |
|
|
Object Detection (I8)
|
52% |
266
9.32 IPS |
|
|
Face Detection (F32)
|
100% |
343
3.94 IPS |
|
|
Face Detection (F16)
|
100% |
352
4.04 IPS |
|
|
Face Detection (I8)
|
75% |
398
4.57 IPS |
|
|
Text Classification (F32)
|
100% |
259
102.4 IPS |
|
|
Text Classification (F16)
|
100% |
260
103.0 IPS |
|
|
Machine Translation (F32)
|
100% |
217
33.4 IPS |
|
|
Machine Translation (F16)
|
100% |
216
33.3 IPS |
