samsung SM-A366W
Geekbench AI Score
537
Single Precision Score
949
Half Precision Score
752
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 10:09 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% |
410
76.3 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.6 IPS |
|
|
Image Classification (Q)
|
100% |
647
120.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
978
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1988
2.32 IPS |
|
|
Pose Estimation (HP)
|
99% |
3796
4.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
3758
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
87% |
567
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
1777
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1181
9.10 IPS |
|
|
Depth Estimation (HP)
|
98% |
2379
18.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
1727
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2175
2.80 IPS |
|
|
Style Transfer (HP)
|
100% |
4559
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4535
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1016
37.7 IPS |
|
|
Text Classification (SP)
|
35% |
22
216.7 IPS |
|
|
Text Classification (HP)
|
35% |
35
316.4 IPS |
|
|
Text Classification (Q)
|
33% |
26
313.2 IPS |
|
|
Machine Translation (SP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (HP)
|
97% |
442
7.64 IPS |
|
|
Machine Translation (Q)
|
43% |
117
6.66 IPS |
