samsung SM-A366W
Geekbench AI Score
538
Single Precision Score
943
Half Precision Score
750
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 12:05 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% |
689
128.1 IPS |
|
|
Image Classification (Q)
|
100% |
649
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
975
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1973
2.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
3792
4.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
3770
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
87% |
574
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2055
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
1783
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1178
9.08 IPS |
|
|
Depth Estimation (HP)
|
98% |
2324
18.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1731
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2148
2.76 IPS |
|
|
Style Transfer (HP)
|
100% |
4568
5.87 IPS |
|
|
Style Transfer (Q)
|
98% |
4528
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1012
37.5 IPS |
|
|
Text Classification (SP)
|
35% |
22
217.5 IPS |
|
|
Text Classification (HP)
|
35% |
35
314.4 IPS |
|
|
Text Classification (Q)
|
33% |
26
312.9 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (HP)
|
97% |
433
7.49 IPS |
|
|
Machine Translation (Q)
|
43% |
112
6.36 IPS |
