samsung SM-A366W
Geekbench AI Score
540
Single Precision Score
944
Half Precision Score
753
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 09:08 AM |
| Views | 5 |
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% |
407
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.2 IPS |
|
|
Image Classification (Q)
|
100% |
673
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
999
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2009
2.34 IPS |
|
|
Pose Estimation (HP)
|
99% |
3853
4.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
3786
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (HP)
|
99% |
586
46.5 IPS |
|
|
Object Detection (Q)
|
87% |
551
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
2021
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
1770
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1180
9.09 IPS |
|
|
Depth Estimation (HP)
|
98% |
2317
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1727
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2167
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4518
5.81 IPS |
|
|
Style Transfer (Q)
|
98% |
4519
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1011
37.5 IPS |
|
|
Text Classification (SP)
|
35% |
23
220.6 IPS |
|
|
Text Classification (HP)
|
35% |
35
321.1 IPS |
|
|
Text Classification (Q)
|
33% |
26
313.6 IPS |
|
|
Machine Translation (SP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (HP)
|
97% |
437
7.55 IPS |
|
|
Machine Translation (Q)
|
43% |
116
6.58 IPS |
