samsung SM-A366W
Geekbench AI Score
537
Single Precision Score
939
Half Precision Score
745
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 02:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 5.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
407
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.1 IPS |
|
|
Image Classification (Q)
|
100% |
651
121.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
973
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
3823
4.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
3768
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
87% |
558
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
2030
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1758
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1176
9.06 IPS |
|
|
Depth Estimation (HP)
|
98% |
2323
18.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1729
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2160
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4525
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
4510
5.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
995
36.9 IPS |
|
|
Text Classification (SP)
|
35% |
22
214.6 IPS |
|
|
Text Classification (HP)
|
35% |
34
311.1 IPS |
|
|
Text Classification (Q)
|
33% |
26
308.7 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.47 IPS |
|
|
Machine Translation (HP)
|
97% |
434
7.50 IPS |
|
|
Machine Translation (Q)
|
43% |
113
6.40 IPS |
