Samsung Galaxy XCover 7 samsung SM-G556B
Geekbench AI Score
276
Single Precision Score
489
Half Precision Score
411
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | December 09 2025 05:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
150
27.9 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (Q)
|
97% |
317
59.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
475
7.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1890
2.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
1883
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.1 IPS |
|
|
Object Detection (HP)
|
99% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
83% |
274
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
606
7.21 IPS |
|
|
Face Detection (HP)
|
100% |
1174
13.9 IPS |
|
|
Face Detection (Q)
|
96% |
1057
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
666
5.13 IPS |
|
|
Depth Estimation (HP)
|
98% |
1346
10.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1076
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1749
2.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3778
4.86 IPS |
|
|
Style Transfer (Q)
|
98% |
3728
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
655
24.3 IPS |
|
|
Text Classification (SP)
|
35% |
9
80.1 IPS |
|
|
Text Classification (HP)
|
29% |
7
121.6 IPS |
|
|
Text Classification (Q)
|
31% |
9
125.5 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (Q)
|
43% |
71
4.14 IPS |
