samsung SM-A366W
Geekbench AI Score
928
Single Precision Score
924
Half Precision Score
1999
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2025 02:36 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% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
100% |
1445
268.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1665
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2048
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1996
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3765
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1389
112.2 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
3388
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1573
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3415
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3703
4.81 IPS |
|
|
Style Transfer (HP)
|
89% |
3736
4.85 IPS |
|
|
Style Transfer (Q)
|
98% |
8565
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
876
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2035
75.4 IPS |
|
|
Text Classification (SP)
|
100% |
493
657.8 IPS |
|
|
Text Classification (HP)
|
100% |
492
656.4 IPS |
|
|
Text Classification (Q)
|
88% |
921
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (Q)
|
50% |
438
15.5 IPS |
