samsung SM-A366W
Geekbench AI Score
534
Single Precision Score
942
Half Precision Score
746
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 09:36 PM |
| Views | 5 |
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% |
405
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
695
129.3 IPS |
|
|
Image Classification (Q)
|
100% |
647
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
993
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1989
2.32 IPS |
|
|
Pose Estimation (HP)
|
99% |
3827
4.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
3776
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
87% |
565
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
1754
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1178
9.07 IPS |
|
|
Depth Estimation (HP)
|
98% |
2317
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1723
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2166
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4540
5.84 IPS |
|
|
Style Transfer (Q)
|
98% |
4537
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
524
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
982
36.4 IPS |
|
|
Text Classification (SP)
|
35% |
22
213.8 IPS |
|
|
Text Classification (HP)
|
35% |
34
309.6 IPS |
|
|
Text Classification (Q)
|
33% |
26
317.1 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
97% |
433
7.49 IPS |
|
|
Machine Translation (Q)
|
43% |
112
6.39 IPS |
