samsung SM-G556B
Geekbench AI Score
323
Single Precision Score
561
Half Precision Score
483
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | September 24 2025 08:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
191
35.5 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
97% |
357
66.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
539
8.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
1149
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2119
2.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
2106
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
99% |
354
28.0 IPS |
|
|
Object Detection (Q)
|
83% |
347
28.0 IPS |
|
|
Face Detection (SP)
|
100% |
637
7.57 IPS |
|
|
Face Detection (HP)
|
100% |
1355
16.1 IPS |
|
|
Face Detection (Q)
|
96% |
1309
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
827
6.37 IPS |
|
|
Depth Estimation (HP)
|
98% |
1506
11.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1223
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1857
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3991
5.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3958
5.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
475
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
811
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
764
28.3 IPS |
|
|
Text Classification (SP)
|
35% |
10
93.7 IPS |
|
|
Text Classification (HP)
|
29% |
8
137.5 IPS |
|
|
Text Classification (Q)
|
31% |
12
172.3 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
43% |
85
4.95 IPS |
