samsung SM-A566B
Geekbench AI Score
239
Single Precision Score
237
Half Precision Score
549
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jockeeth |
| Upload Date | August 18 2025 09:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
99% |
377
70.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
204
3.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
429
6.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
257
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
887
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
87% |
367
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.33 IPS |
|
|
Face Detection (Q)
|
97% |
759
9.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
294
2.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
300
2.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
711
6.45 IPS |
|
|
Style Transfer (SP)
|
100% |
569
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
570
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1704
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
152
5.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
545
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
193
258.0 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.3 IPS |
|
|
Text Classification (Q)
|
91% |
335
449.7 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.98 IPS |
