samsung SM-A366W
Geekbench AI Score
536
Single Precision Score
954
Half Precision Score
751
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 02:37 AM |
| Views | 4 |
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
75.7 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.2 IPS |
|
|
Image Classification (Q)
|
100% |
652
121.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
987
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1983
2.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
3799
4.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
3756
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (HP)
|
99% |
601
47.7 IPS |
|
|
Object Detection (Q)
|
87% |
568
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2073
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
1804
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1181
9.10 IPS |
|
|
Depth Estimation (HP)
|
98% |
2326
18.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1723
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2150
2.76 IPS |
|
|
Style Transfer (HP)
|
100% |
4565
5.87 IPS |
|
|
Style Transfer (Q)
|
98% |
4523
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
35% |
22
216.6 IPS |
|
|
Text Classification (HP)
|
35% |
37
333.7 IPS |
|
|
Text Classification (Q)
|
33% |
26
314.6 IPS |
|
|
Machine Translation (SP)
|
100% |
385
6.62 IPS |
|
|
Machine Translation (HP)
|
97% |
444
7.67 IPS |
|
|
Machine Translation (Q)
|
43% |
113
6.44 IPS |
