samsung SM-A366W
Geekbench AI Score
842
Single Precision Score
832
Half Precision Score
1470
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | May 21 2025 02:34 AM |
| Views | 3 |
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% |
447
83.1 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
100% |
1441
268.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1489
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2001
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1919
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
3760
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (Q)
|
83% |
1377
111.2 IPS |
|
|
Face Detection (SP)
|
100% |
1090
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
3377
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
788
6.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
805
6.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
3415
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3644
4.73 IPS |
|
|
Style Transfer (HP)
|
89% |
3337
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
7314
9.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1872
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.0 IPS |
|
|
Text Classification (HP)
|
100% |
466
622.4 IPS |
|
|
Text Classification (Q)
|
88% |
929
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
29
1.05 IPS |
