samsung SM-A146P
Geekbench ML Score
389
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 20 2025 10:05 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 | 5.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
252
27.0 IPS |
|
|
Image Classification (F16)
|
100% |
485
52.0 IPS |
|
|
Image Classification (I8)
|
80% |
476
51.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
501
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
1104
6.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
1025
6.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
505
2.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
501
2.03 IPS |
|
|
Object Detection (F32)
|
100% |
172
6.05 IPS |
|
|
Object Detection (F16)
|
100% |
252
8.85 IPS |
|
|
Object Detection (I8)
|
54% |
275
9.64 IPS |
|
|
Face Detection (F32)
|
100% |
572
6.57 IPS |
|
|
Face Detection (F16)
|
97% |
1080
12.4 IPS |
|
|
Face Detection (I8)
|
75% |
1060
12.2 IPS |
|
|
Text Classification (F32)
|
100% |
220
87.0 IPS |
|
|
Text Classification (F16)
|
98% |
315
124.6 IPS |
|
|
Machine Translation (F32)
|
100% |
123
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
121
18.6 IPS |
