Samsung Galaxy XCover 7 samsung SM-A566B
Geekbench AI Score
750
Single Precision Score
1259
Half Precision Score
940
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | December 07 2025 11:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A566B |
| Model ID | samsung SM-A566B |
| Motherboard | s5e8855 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.6 IPS |
|
|
Image Classification (Q)
|
100% |
631
117.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2875
3.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
6181
7.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
6037
7.08 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
84% |
590
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
1929
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1893
14.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3814
29.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2946
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6450
8.29 IPS |
|
|
Style Transfer (HP)
|
100% |
10486
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
10430
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1686
62.5 IPS |
|
|
Text Classification (SP)
|
35% |
34
306.0 IPS |
|
|
Text Classification (HP)
|
35% |
44
397.9 IPS |
|
|
Text Classification (Q)
|
31% |
25
378.1 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (Q)
|
42% |
94
6.08 IPS |
