samsung SM-A146P
Geekbench ML Score
255
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 25 2025 01:05 AM |
| Views | 3 |
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 | 3.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
320
34.3 IPS |
|
|
Image Classification (F16)
|
100% |
455
48.8 IPS |
|
|
Image Classification (I8)
|
80% |
129
13.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
269
1.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
249
1.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
534
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
371
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
699
2.83 IPS |
|
|
Pose Estimation (I8)
|
80% |
229
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
237
8.32 IPS |
|
|
Object Detection (F16)
|
100% |
266
9.35 IPS |
|
|
Object Detection (I8)
|
53% |
132
4.62 IPS |
|
|
Face Detection (F32)
|
100% |
611
7.02 IPS |
|
|
Face Detection (F16)
|
97% |
691
7.93 IPS |
|
|
Face Detection (I8)
|
75% |
271
3.11 IPS |
|
|
Text Classification (F32)
|
100% |
134
52.9 IPS |
|
|
Text Classification (F16)
|
100% |
70
27.8 IPS |
|
|
Machine Translation (F32)
|
100% |
123
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
123
18.9 IPS |
