samsung SM-A566B
Geekbench AI Score
789
Single Precision Score
1141
Half Precision Score
845
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 12:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.3 IPS |
|
|
Image Classification (Q)
|
100% |
413
76.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1084
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3331
3.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
6840
7.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
6790
7.96 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
99% |
680
53.9 IPS |
|
|
Object Detection (Q)
|
84% |
630
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
2164
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2184
16.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3703
28.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2826
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6602
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
10196
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10210
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1803
66.8 IPS |
|
|
Text Classification (SP)
|
35% |
29
262.3 IPS |
|
|
Text Classification (HP)
|
35% |
20
181.4 IPS |
|
|
Text Classification (Q)
|
31% |
12
180.6 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
42% |
72
4.64 IPS |
