samsung SM-A366W
Geekbench AI Score
540
Single Precision Score
953
Half Precision Score
758
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 09:00 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% |
408
75.9 IPS |
|
|
Image Classification (HP)
|
100% |
704
131.0 IPS |
|
|
Image Classification (Q)
|
100% |
671
124.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
987
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1999
2.33 IPS |
|
|
Pose Estimation (HP)
|
99% |
3776
4.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
3741
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
99% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
87% |
572
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2075
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
1790
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1184
9.12 IPS |
|
|
Depth Estimation (HP)
|
98% |
2332
18.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1741
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2175
2.80 IPS |
|
|
Style Transfer (HP)
|
100% |
4569
5.87 IPS |
|
|
Style Transfer (Q)
|
98% |
4555
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1010
37.4 IPS |
|
|
Text Classification (SP)
|
35% |
22
216.8 IPS |
|
|
Text Classification (HP)
|
35% |
35
315.3 IPS |
|
|
Text Classification (Q)
|
33% |
27
320.2 IPS |
|
|
Machine Translation (SP)
|
100% |
386
6.66 IPS |
|
|
Machine Translation (HP)
|
97% |
445
7.69 IPS |
|
|
Machine Translation (Q)
|
43% |
115
6.56 IPS |
