samsung SM-A366W
Geekbench AI Score
537
Single Precision Score
937
Half Precision Score
747
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 02:41 AM |
| Views | 8 |
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% |
409
76.1 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
100% |
642
119.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
1058
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
991
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
3805
4.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
3779
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (HP)
|
99% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
87% |
564
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
1749
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1175
9.05 IPS |
|
|
Depth Estimation (HP)
|
98% |
2322
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1715
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2165
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4555
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4530
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1005
37.2 IPS |
|
|
Text Classification (SP)
|
35% |
22
212.6 IPS |
|
|
Text Classification (HP)
|
35% |
34
310.3 IPS |
|
|
Text Classification (Q)
|
33% |
26
308.1 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
97% |
430
7.43 IPS |
|
|
Machine Translation (Q)
|
43% |
113
6.40 IPS |
