samsung SM-A366B
Geekbench AI Score
530
Single Precision Score
938
Half Precision Score
740
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 05:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.2 IPS |
|
|
Image Classification (Q)
|
100% |
657
122.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
963
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
3799
4.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
3752
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
598
47.4 IPS |
|
|
Object Detection (Q)
|
87% |
560
45.0 IPS |
|
|
Face Detection (SP)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2084
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
1790
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1173
9.03 IPS |
|
|
Depth Estimation (HP)
|
98% |
2313
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1733
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2100
2.70 IPS |
|
|
Style Transfer (HP)
|
100% |
4381
5.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4377
5.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1022
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
993
36.8 IPS |
|
|
Text Classification (SP)
|
35% |
22
215.9 IPS |
|
|
Text Classification (HP)
|
35% |
35
314.6 IPS |
|
|
Text Classification (Q)
|
33% |
26
311.7 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (HP)
|
97% |
423
7.32 IPS |
|
|
Machine Translation (Q)
|
43% |
106
6.03 IPS |
