samsung SM-A366E
Geekbench AI Score
871
Single Precision Score
858
Half Precision Score
1789
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 16 2025 10:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A366E |
| Model ID | samsung SM-A366E |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
100% |
1436
267.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1448
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1898
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1905
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
3595
4.26 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
83% |
1203
97.1 IPS |
|
|
Face Detection (SP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1073
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2968
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1518
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2917
26.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3333
4.33 IPS |
|
|
Style Transfer (HP)
|
89% |
3341
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
7363
9.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
821
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1749
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
421
561.7 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.5 IPS |
|
|
Text Classification (Q)
|
88% |
792
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
424
15.1 IPS |
