samsung SM-A366W
Geekbench AI Score
914
Single Precision Score
889
Half Precision Score
1885
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 07:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
457
85.1 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
100% |
1451
269.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1672
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2030
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1926
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3723
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
83% |
1287
103.9 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
3272
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1574
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1557
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3144
28.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3716
4.82 IPS |
|
|
Style Transfer (HP)
|
89% |
3504
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
7492
9.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1741
64.5 IPS |
|
|
Text Classification (SP)
|
100% |
426
568.2 IPS |
|
|
Text Classification (HP)
|
100% |
420
561.3 IPS |
|
|
Text Classification (Q)
|
88% |
916
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
