samsung SM-A366W
Geekbench AI Score
535
Single Precision Score
940
Half Precision Score
749
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 02:02 AM |
| Views | 9 |
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% |
406
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.6 IPS |
|
|
Image Classification (Q)
|
100% |
653
121.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
985
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
3813
4.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
3765
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
87% |
565
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1997
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
1742
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1174
9.05 IPS |
|
|
Depth Estimation (HP)
|
98% |
2312
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1715
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2152
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
4531
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
4520
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1001
37.1 IPS |
|
|
Text Classification (SP)
|
35% |
22
215.8 IPS |
|
|
Text Classification (HP)
|
35% |
35
316.9 IPS |
|
|
Text Classification (Q)
|
33% |
26
312.4 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (HP)
|
97% |
435
7.52 IPS |
|
|
Machine Translation (Q)
|
43% |
116
6.61 IPS |
