samsung SM-A366W
Geekbench AI Score
535
Single Precision Score
940
Half Precision Score
746
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 10:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 5.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
407
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (Q)
|
100% |
649
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
988
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1954
2.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
3801
4.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
3756
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
598
47.4 IPS |
|
|
Object Detection (Q)
|
87% |
561
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1994
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
1730
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1172
9.03 IPS |
|
|
Depth Estimation (HP)
|
98% |
2299
17.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
1701
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2163
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4496
5.78 IPS |
|
|
Style Transfer (Q)
|
98% |
4474
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
988
36.6 IPS |
|
|
Text Classification (SP)
|
35% |
22
214.5 IPS |
|
|
Text Classification (HP)
|
35% |
35
319.1 IPS |
|
|
Text Classification (Q)
|
33% |
26
314.6 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.52 IPS |
|
|
Machine Translation (HP)
|
97% |
439
7.59 IPS |
|
|
Machine Translation (Q)
|
43% |
118
6.72 IPS |
