samsung SM-A366B
Geekbench AI Score
872
Single Precision Score
856
Half Precision Score
1772
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 04:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A366B |
| Model ID | samsung SM-A366B |
| 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% |
454
84.4 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
100% |
1331
247.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1546
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1907
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
3469
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.7 IPS |
|
|
Object Detection (Q)
|
83% |
1215
98.1 IPS |
|
|
Face Detection (SP)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
2965
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1521
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1521
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2904
26.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3353
4.35 IPS |
|
|
Style Transfer (HP)
|
89% |
3326
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
7337
9.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1744
64.6 IPS |
|
|
Text Classification (SP)
|
100% |
422
562.7 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.2 IPS |
|
|
Text Classification (Q)
|
88% |
805
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
398
14.1 IPS |
