Samsung Galaxy XCover 7 samsung SM-G556B
Geekbench AI Score
484
Single Precision Score
482
Half Precision Score
910
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | December 09 2025 05:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (Q)
|
100% |
625
116.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
264
4.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
691
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1037
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1041
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1578
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
83% |
606
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
710
8.43 IPS |
|
|
Face Detection (HP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (Q)
|
95% |
1434
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
880
6.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
882
6.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1457
13.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1746
2.27 IPS |
|
|
Style Transfer (HP)
|
89% |
1745
2.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3637
4.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
873
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.4 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.7 IPS |
|
|
Text Classification (Q)
|
88% |
448
604.4 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
