samsung SM-M556B
Geekbench AI Score
776
Single Precision Score
767
Half Precision Score
1821
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 03:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-M556B |
| Model ID | samsung SM-M556B |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
100% |
1405
261.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
1418
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1665
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1656
1.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
3969
4.71 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
83% |
1220
98.5 IPS |
|
|
Face Detection (SP)
|
100% |
990
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2874
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1411
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1392
10.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3144
28.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2782
3.61 IPS |
|
|
Style Transfer (HP)
|
89% |
2788
3.62 IPS |
|
|
Style Transfer (Q)
|
98% |
8247
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
776
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2009
74.4 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.8 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.3 IPS |
|
|
Text Classification (Q)
|
88% |
691
932.5 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
402
14.3 IPS |
