samsung SM-A366W
Geekbench AI Score
535
Single Precision Score
935
Half Precision Score
743
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 07:06 PM |
| Views | 4 |
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% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
100% |
651
121.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
960
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1956
2.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
3795
4.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
3753
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
99% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
87% |
563
45.2 IPS |
|
|
Face Detection (SP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
2000
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
1736
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1178
9.07 IPS |
|
|
Depth Estimation (HP)
|
98% |
2296
17.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
1718
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2164
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4540
5.84 IPS |
|
|
Style Transfer (Q)
|
98% |
4521
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1002
37.1 IPS |
|
|
Text Classification (SP)
|
35% |
22
214.8 IPS |
|
|
Text Classification (HP)
|
35% |
34
313.4 IPS |
|
|
Text Classification (Q)
|
33% |
26
307.3 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
97% |
443
7.65 IPS |
|
|
Machine Translation (Q)
|
43% |
112
6.39 IPS |
