samsung SM-A366W
Geekbench AI Score
537
Single Precision Score
944
Half Precision Score
748
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 07:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A366W |
| Model ID | samsung SM-A366W |
| 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% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (Q)
|
100% |
651
121.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
962
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1982
2.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
3816
4.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
3775
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
99% |
608
48.2 IPS |
|
|
Object Detection (Q)
|
87% |
571
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
2030
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1781
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1183
9.11 IPS |
|
|
Depth Estimation (HP)
|
98% |
2322
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1712
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2164
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4569
5.87 IPS |
|
|
Style Transfer (Q)
|
98% |
4543
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
984
36.5 IPS |
|
|
Text Classification (SP)
|
35% |
22
214.7 IPS |
|
|
Text Classification (HP)
|
35% |
35
321.7 IPS |
|
|
Text Classification (Q)
|
33% |
26
313.5 IPS |
|
|
Machine Translation (SP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (HP)
|
97% |
435
7.52 IPS |
|
|
Machine Translation (Q)
|
43% |
116
6.60 IPS |
