samsung SM-A366W
Geekbench AI Score
537
Single Precision Score
950
Half Precision Score
751
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:43 PM |
| 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% |
410
76.3 IPS |
|
|
Image Classification (HP)
|
100% |
704
131.0 IPS |
|
|
Image Classification (Q)
|
100% |
652
121.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
1033
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
990
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1962
2.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
3801
4.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
3740
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
87% |
571
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
1783
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1178
9.07 IPS |
|
|
Depth Estimation (HP)
|
98% |
2338
18.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
1729
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2173
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4560
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4535
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1003
37.2 IPS |
|
|
Text Classification (SP)
|
35% |
22
217.3 IPS |
|
|
Text Classification (HP)
|
35% |
36
327.6 IPS |
|
|
Text Classification (Q)
|
33% |
26
312.6 IPS |
|
|
Machine Translation (SP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (HP)
|
97% |
439
7.59 IPS |
|
|
Machine Translation (Q)
|
43% |
114
6.48 IPS |
