samsung SM-A366W
Geekbench AI Score
535
Single Precision Score
941
Half Precision Score
749
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 08 2025 02:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
994
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1978
2.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
3833
4.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
3823
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
593
47.1 IPS |
|
|
Object Detection (Q)
|
87% |
567
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2039
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
1790
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1179
9.08 IPS |
|
|
Depth Estimation (HP)
|
98% |
2336
18.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
1737
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2098
2.70 IPS |
|
|
Style Transfer (HP)
|
100% |
4528
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
4507
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
987
36.6 IPS |
|
|
Text Classification (SP)
|
35% |
23
219.2 IPS |
|
|
Text Classification (HP)
|
35% |
35
317.2 IPS |
|
|
Text Classification (Q)
|
33% |
26
311.8 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (HP)
|
97% |
432
7.46 IPS |
|
|
Machine Translation (Q)
|
43% |
111
6.34 IPS |
