samsung SM-A366W
Geekbench AI Score
531
Single Precision Score
946
Half Precision Score
748
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 09:14 PM |
| Views | 12 |
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% |
401
74.6 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (Q)
|
100% |
653
121.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
976
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1974
2.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
3841
4.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
3812
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
601
47.7 IPS |
|
|
Object Detection (Q)
|
87% |
565
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
2032
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1775
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1178
9.08 IPS |
|
|
Depth Estimation (HP)
|
98% |
2317
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1723
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2153
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
4579
5.89 IPS |
|
|
Style Transfer (Q)
|
98% |
4540
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
997
36.9 IPS |
|
|
Text Classification (SP)
|
35% |
22
213.5 IPS |
|
|
Text Classification (HP)
|
35% |
34
311.1 IPS |
|
|
Text Classification (Q)
|
33% |
26
317.0 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (HP)
|
97% |
445
7.69 IPS |
|
|
Machine Translation (Q)
|
43% |
111
6.32 IPS |
