samsung SM-A366W
Geekbench AI Score
930
Single Precision Score
923
Half Precision Score
2004
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
100% |
1448
269.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1666
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2003
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3766
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
1393
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
3395
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1562
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1578
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3411
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3710
4.82 IPS |
|
|
Style Transfer (HP)
|
89% |
3681
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8578
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
873
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2044
75.7 IPS |
|
|
Text Classification (SP)
|
100% |
498
664.8 IPS |
|
|
Text Classification (HP)
|
100% |
492
656.3 IPS |
|
|
Text Classification (Q)
|
88% |
926
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.7 IPS |
