samsung SM-A566B
Geekbench AI Score
1427
Single Precision Score
1415
Half Precision Score
2765
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 12:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1156
215.1 IPS |
|
|
Image Classification (HP)
|
100% |
1199
223.0 IPS |
|
|
Image Classification (Q)
|
100% |
2173
404.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2439
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
5983
7.10 IPS |
|
|
Object Detection (SP)
|
98% |
1030
82.0 IPS |
|
|
Object Detection (HP)
|
98% |
1008
80.2 IPS |
|
|
Object Detection (Q)
|
83% |
1831
147.9 IPS |
|
|
Face Detection (SP)
|
100% |
1554
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1541
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
4681
55.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2138
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2206
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4581
42.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5368
6.97 IPS |
|
|
Style Transfer (HP)
|
89% |
5334
6.92 IPS |
|
|
Style Transfer (Q)
|
98% |
12394
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3033
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
574
766.1 IPS |
|
|
Text Classification (HP)
|
99% |
557
743.6 IPS |
|
|
Text Classification (Q)
|
88% |
1043
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
536
19.0 IPS |
