samsung SM-A566B
Geekbench AI Score
1310
Single Precision Score
1290
Half Precision Score
2366
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 07:03 AM |
| Views | 1 |
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% |
1204
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
1197
222.5 IPS |
|
|
Image Classification (Q)
|
100% |
2219
412.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2215
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2138
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1950
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
4827
5.73 IPS |
|
|
Object Detection (SP)
|
98% |
884
70.3 IPS |
|
|
Object Detection (HP)
|
98% |
870
69.2 IPS |
|
|
Object Detection (Q)
|
83% |
1543
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (Q)
|
95% |
3681
43.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2041
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2036
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3936
36.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4817
6.25 IPS |
|
|
Style Transfer (HP)
|
89% |
4842
6.29 IPS |
|
|
Style Transfer (Q)
|
98% |
10525
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
941
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2548
94.4 IPS |
|
|
Text Classification (SP)
|
100% |
480
640.2 IPS |
|
|
Text Classification (HP)
|
99% |
478
637.5 IPS |
|
|
Text Classification (Q)
|
88% |
845
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
458
16.2 IPS |
