samsung SM-A366W
Geekbench AI Score
538
Single Precision Score
944
Half Precision Score
753
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:51 AM |
| Views | 7 |
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% |
412
76.6 IPS |
|
|
Image Classification (HP)
|
100% |
709
131.8 IPS |
|
|
Image Classification (Q)
|
100% |
663
123.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
971
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2002
2.34 IPS |
|
|
Pose Estimation (HP)
|
99% |
3800
4.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
3765
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
87% |
574
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1778
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1181
9.10 IPS |
|
|
Depth Estimation (HP)
|
98% |
2319
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1720
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2175
2.80 IPS |
|
|
Style Transfer (HP)
|
100% |
4521
5.81 IPS |
|
|
Style Transfer (Q)
|
98% |
4487
5.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1055
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1018
37.7 IPS |
|
|
Text Classification (SP)
|
35% |
22
216.0 IPS |
|
|
Text Classification (HP)
|
35% |
35
314.0 IPS |
|
|
Text Classification (Q)
|
33% |
27
321.8 IPS |
|
|
Machine Translation (SP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (HP)
|
97% |
438
7.57 IPS |
|
|
Machine Translation (Q)
|
43% |
113
6.41 IPS |
