samsung SM-A366W
Geekbench AI Score
776
Single Precision Score
827
Half Precision Score
1423
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 05:45 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% |
190
35.3 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
100% |
1442
268.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
535
8.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1660
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1901
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
3313
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1266
102.2 IPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (Q)
|
95% |
3372
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
814
6.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
777
5.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
3411
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3694
4.79 IPS |
|
|
Style Transfer (HP)
|
89% |
3589
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
7381
9.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
833
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1741
64.5 IPS |
|
|
Text Classification (SP)
|
100% |
427
569.3 IPS |
|
|
Text Classification (HP)
|
100% |
417
556.2 IPS |
|
|
Text Classification (Q)
|
88% |
793
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
29
1.02 IPS |
