samsung SM-A366W
Geekbench AI Score
931
Single Precision Score
925
Half Precision Score
1998
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:38 AM |
| Views | 5 |
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% |
456
84.8 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.6 IPS |
|
|
Image Classification (Q)
|
100% |
1447
269.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
1664
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2054
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3770
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1388
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
3393
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1573
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1597
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3414
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3756
4.88 IPS |
|
|
Style Transfer (HP)
|
89% |
3757
4.88 IPS |
|
|
Style Transfer (Q)
|
98% |
8593
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2040
75.6 IPS |
|
|
Text Classification (SP)
|
100% |
495
660.6 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.0 IPS |
|
|
Text Classification (Q)
|
88% |
835
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
476
16.9 IPS |
