samsung SM-A366W
Geekbench AI Score
802
Single Precision Score
807
Half Precision Score
1409
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 27 2025 03:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
441
82.1 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (Q)
|
100% |
1391
258.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1582
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1966
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1821
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
3309
3.92 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
1395
112.7 IPS |
|
|
Face Detection (SP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3016
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
740
5.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
795
6.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
3425
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3661
4.75 IPS |
|
|
Style Transfer (HP)
|
89% |
3298
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
7341
9.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1737
64.4 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.6 IPS |
|
|
Text Classification (HP)
|
100% |
419
559.3 IPS |
|
|
Text Classification (Q)
|
88% |
797
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
29
1.04 IPS |
