samsung SM-A366B
Geekbench AI Score
533
Single Precision Score
950
Half Precision Score
754
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 11:35 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% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
100% |
704
130.9 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
969
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1985
2.32 IPS |
|
|
Pose Estimation (HP)
|
99% |
3804
4.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
3810
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
87% |
568
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2080
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
1802
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1183
9.11 IPS |
|
|
Depth Estimation (HP)
|
98% |
2348
18.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
1752
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2117
2.72 IPS |
|
|
Style Transfer (HP)
|
100% |
4533
5.83 IPS |
|
|
Style Transfer (Q)
|
98% |
4528
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1022
37.9 IPS |
|
|
Text Classification (SP)
|
35% |
22
216.1 IPS |
|
|
Text Classification (HP)
|
35% |
36
323.4 IPS |
|
|
Text Classification (Q)
|
33% |
26
314.5 IPS |
|
|
Machine Translation (SP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (HP)
|
97% |
438
7.57 IPS |
|
|
Machine Translation (Q)
|
43% |
116
6.59 IPS |
