samsung SM-A366W
Geekbench AI Score
750
Single Precision Score
656
Half Precision Score
1420
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 07:01 PM |
| Views | 5 |
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% |
192
35.7 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (Q)
|
100% |
1443
268.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
1445
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1997
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1907
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
3235
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
1219
98.4 IPS |
|
|
Face Detection (SP)
|
100% |
1121
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
3369
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
762
5.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
779
6.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
3416
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3649
4.74 IPS |
|
|
Style Transfer (HP)
|
89% |
3557
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
7314
9.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1739
64.4 IPS |
|
|
Text Classification (SP)
|
100% |
425
566.6 IPS |
|
|
Text Classification (HP)
|
100% |
42
56.3 IPS |
|
|
Text Classification (Q)
|
88% |
927
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
30
1.05 IPS |
