samsung SM-A366E
Geekbench AI Score
535
Single Precision Score
942
Half Precision Score
745
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 16 2025 10:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
403
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (Q)
|
100% |
637
118.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
1033
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
969
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1991
2.32 IPS |
|
|
Pose Estimation (HP)
|
99% |
3814
4.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
3808
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
87% |
553
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2100
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
1806
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1178
9.07 IPS |
|
|
Depth Estimation (HP)
|
98% |
2325
18.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1733
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2176
2.80 IPS |
|
|
Style Transfer (HP)
|
100% |
4530
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
4505
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1008
37.3 IPS |
|
|
Text Classification (SP)
|
35% |
22
213.4 IPS |
|
|
Text Classification (HP)
|
35% |
35
319.0 IPS |
|
|
Text Classification (Q)
|
33% |
26
311.0 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (HP)
|
97% |
434
7.51 IPS |
|
|
Machine Translation (Q)
|
43% |
110
6.26 IPS |
