samsung SM-A366W
Geekbench AI Score
540
Single Precision Score
949
Half Precision Score
751
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 07:52 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% |
408
75.9 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.7 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
963
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1974
2.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
3827
4.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
3782
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (HP)
|
99% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
87% |
567
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
1790
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1181
9.10 IPS |
|
|
Depth Estimation (HP)
|
98% |
2330
18.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1741
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2168
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4559
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4537
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1016
37.7 IPS |
|
|
Text Classification (SP)
|
35% |
22
216.0 IPS |
|
|
Text Classification (HP)
|
35% |
35
315.7 IPS |
|
|
Text Classification (Q)
|
33% |
26
312.7 IPS |
|
|
Machine Translation (SP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (HP)
|
97% |
438
7.57 IPS |
|
|
Machine Translation (Q)
|
43% |
115
6.55 IPS |
