Samsung Galaxy XCover 7 samsung SM-G556B
Geekbench AI Score
203
Single Precision Score
287
Half Precision Score
189
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | December 09 2025 05:46 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
114
21.2 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.5 IPS |
|
|
Image Classification (Q)
|
97% |
62
11.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
72
1.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
809
0.94 IPS |
|
|
Pose Estimation (HP)
|
98% |
1844
2.16 IPS |
|
|
Pose Estimation (Q)
|
70% |
1070
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.61 IPS |
|
|
Object Detection (Q)
|
80% |
74
6.05 IPS |
|
|
Face Detection (SP)
|
28% |
34
6.37 IPS |
|
|
Face Detection (HP)
|
100% |
248
2.95 IPS |
|
|
Face Detection (Q)
|
97% |
110
1.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
348
2.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
202
1.56 IPS |
|
|
Depth Estimation (Q)
|
57% |
227
2.48 IPS |
|
|
Style Transfer (SP)
|
100% |
673
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
350
0.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1623
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
420
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
87
116.1 IPS |
|
|
Text Classification (HP)
|
100% |
154
204.9 IPS |
|
|
Text Classification (Q)
|
93% |
90
120.6 IPS |
|
|
Machine Translation (SP)
|
100% |
192
3.30 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.02 IPS |
|
|
Machine Translation (Q)
|
55% |
110
2.93 IPS |
