samsung SM-A556B
Geekbench ML Score
449
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2024 07:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A556B |
| Model ID | samsung SM-A556B |
| Motherboard | s5e8845 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 2.05 GHz |
| Cluster 1 | 4 Cores @ 2.05 GHz |
| Cluster 2 | 4 Cores @ 2.75 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
370
39.6 IPS |
|
|
Image Classification (F16)
|
100% |
413
44.3 IPS |
|
|
Image Classification (I8)
|
81% |
223
23.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
632
3.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
709
4.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
1113
6.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
267
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
268
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
283
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
520
18.2 IPS |
|
|
Object Detection (F16)
|
100% |
519
18.2 IPS |
|
|
Object Detection (I8)
|
52% |
341
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
668
7.68 IPS |
|
|
Face Detection (F16)
|
100% |
682
7.84 IPS |
|
|
Face Detection (I8)
|
75% |
646
7.42 IPS |
|
|
Text Classification (F32)
|
100% |
353
139.7 IPS |
|
|
Text Classification (F16)
|
100% |
349
138.1 IPS |
|
|
Machine Translation (F32)
|
100% |
471
72.5 IPS |
|
|
Machine Translation (F16)
|
100% |
476
73.3 IPS |
