samsung SM-A366W
Geekbench AI Score
534
Single Precision Score
946
Half Precision Score
753
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:45 AM |
| Views | 3 |
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% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.0 IPS |
|
|
Image Classification (Q)
|
100% |
646
120.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
980
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1965
2.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
3795
4.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
3761
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
99% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
87% |
571
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
1803
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1183
9.12 IPS |
|
|
Depth Estimation (HP)
|
98% |
2343
18.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
1753
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2103
2.70 IPS |
|
|
Style Transfer (HP)
|
100% |
4555
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4532
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1013
37.6 IPS |
|
|
Text Classification (SP)
|
35% |
22
217.1 IPS |
|
|
Text Classification (HP)
|
35% |
36
328.5 IPS |
|
|
Text Classification (Q)
|
33% |
26
313.5 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
97% |
428
7.40 IPS |
|
|
Machine Translation (Q)
|
43% |
115
6.53 IPS |
