samsung SM-A366W
Geekbench AI Score
535
Single Precision Score
938
Half Precision Score
745
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:30 PM |
| Views | 6 |
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
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.0 IPS |
|
|
Image Classification (Q)
|
100% |
652
121.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
966
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
3755
4.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
3746
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
87% |
565
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
2031
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1755
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1168
9.00 IPS |
|
|
Depth Estimation (HP)
|
98% |
2311
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1723
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2157
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
4526
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
4497
5.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
988
36.6 IPS |
|
|
Text Classification (SP)
|
35% |
22
214.6 IPS |
|
|
Text Classification (HP)
|
35% |
34
313.4 IPS |
|
|
Text Classification (Q)
|
33% |
26
309.7 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (HP)
|
97% |
454
7.84 IPS |
|
|
Machine Translation (Q)
|
43% |
114
6.48 IPS |
