samsung SM-A566B
Geekbench AI Score
741
Single Precision Score
1279
Half Precision Score
967
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | August 07 2025 06:14 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% |
405
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.3 IPS |
|
|
Image Classification (Q)
|
100% |
645
120.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1030
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2781
3.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
6181
7.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
5992
7.02 IPS |
|
|
Object Detection (SP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (HP)
|
99% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
84% |
642
51.8 IPS |
|
|
Face Detection (SP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
1890
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1868
14.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3430
26.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2548
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5862
7.54 IPS |
|
|
Style Transfer (HP)
|
100% |
9907
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9685
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
944
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1829
67.8 IPS |
|
|
Text Classification (SP)
|
35% |
34
311.3 IPS |
|
|
Text Classification (HP)
|
35% |
43
386.8 IPS |
|
|
Text Classification (Q)
|
31% |
29
426.0 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.50 IPS |
|
|
Machine Translation (Q)
|
42% |
114
7.38 IPS |
