samsung SM-A366W
Geekbench AI Score
784
Single Precision Score
760
Half Precision Score
1510
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 09:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
192
35.7 IPS |
|
|
Image Classification (HP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (Q)
|
100% |
1438
267.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1656
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2051
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2057
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3763
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
83% |
1252
101.2 IPS |
|
|
Face Detection (SP)
|
100% |
1116
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1116
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
3381
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
782
6.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
794
6.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
3402
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3667
4.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3681
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8609
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
857
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2032
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
492
656.7 IPS |
|
|
Text Classification (HP)
|
100% |
485
646.7 IPS |
|
|
Text Classification (Q)
|
88% |
914
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
30
1.06 IPS |
