samsung SM-A366W
Geekbench AI Score
533
Single Precision Score
936
Half Precision Score
743
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 12:43 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% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.1 IPS |
|
|
Image Classification (Q)
|
100% |
638
118.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
969
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
3826
4.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
3784
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (HP)
|
99% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
87% |
562
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
1749
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1175
9.05 IPS |
|
|
Depth Estimation (HP)
|
98% |
2311
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1715
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2171
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4557
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4534
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1015
37.6 IPS |
|
|
Text Classification (SP)
|
35% |
22
211.6 IPS |
|
|
Text Classification (HP)
|
35% |
34
312.1 IPS |
|
|
Text Classification (Q)
|
33% |
26
308.0 IPS |
|
|
Machine Translation (SP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (HP)
|
97% |
443
7.65 IPS |
|
|
Machine Translation (Q)
|
43% |
109
6.20 IPS |
