samsung SM-A566B
Geekbench AI Score
1351
Single Precision Score
1338
Half Precision Score
2538
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 09:26 AM |
| 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 | 11.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1197
222.7 IPS |
|
|
Image Classification (HP)
|
100% |
1145
213.0 IPS |
|
|
Image Classification (Q)
|
100% |
2123
394.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2363
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2285
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2134
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
5205
6.17 IPS |
|
|
Object Detection (SP)
|
98% |
946
75.3 IPS |
|
|
Object Detection (HP)
|
98% |
967
76.9 IPS |
|
|
Object Detection (Q)
|
83% |
1665
134.5 IPS |
|
|
Face Detection (SP)
|
100% |
1500
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1493
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
3973
47.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1979
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1970
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4321
39.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5112
6.64 IPS |
|
|
Style Transfer (HP)
|
89% |
5097
6.62 IPS |
|
|
Style Transfer (Q)
|
98% |
11456
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2782
103.1 IPS |
|
|
Text Classification (SP)
|
100% |
517
690.7 IPS |
|
|
Text Classification (HP)
|
99% |
518
691.0 IPS |
|
|
Text Classification (Q)
|
88% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
473
16.8 IPS |
