samsung SM-G556B
Geekbench AI Score
482
Single Precision Score
478
Half Precision Score
904
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | September 24 2025 08:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-G556B |
| Model ID | samsung SM-G556B |
| Motherboard | xcover7 |
| 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 | 5.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
100% |
619
115.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
693
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1026
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1023
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1574
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
83% |
600
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (HP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (Q)
|
95% |
1427
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
885
6.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
864
6.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
1436
13.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1735
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1734
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3603
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
858
31.8 IPS |
|
|
Text Classification (SP)
|
100% |
258
345.0 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.9 IPS |
|
|
Text Classification (Q)
|
88% |
456
614.5 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.69 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.1 IPS |
