samsung SM-A366B
Geekbench AI Score
767
Single Precision Score
757
Half Precision Score
1509
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 10:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A366B |
| Model ID | samsung SM-A366B |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.2 IPS |
|
|
Image Classification (Q)
|
100% |
941
175.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
330
5.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
909
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1602
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1578
1.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
3160
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
83% |
1168
94.4 IPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
2701
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1491
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1452
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2703
24.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3262
4.23 IPS |
|
|
Style Transfer (HP)
|
89% |
3139
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
6328
8.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1377
51.0 IPS |
|
|
Text Classification (SP)
|
100% |
323
431.1 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.7 IPS |
|
|
Text Classification (Q)
|
88% |
845
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
363
12.9 IPS |
