samsung SM-A366W
Geekbench AI Score
876
Single Precision Score
855
Half Precision Score
1810
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:18 PM |
| Views | 2 |
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% |
459
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (Q)
|
100% |
1448
269.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
1536
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1918
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1890
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
3767
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.9 IPS |
|
|
Object Detection (Q)
|
83% |
1216
98.2 IPS |
|
|
Face Detection (SP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3015
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1486
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2916
26.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3342
4.34 IPS |
|
|
Style Transfer (HP)
|
89% |
3292
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
7471
9.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1746
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
433
577.6 IPS |
|
|
Text Classification (HP)
|
100% |
426
568.3 IPS |
|
|
Text Classification (Q)
|
88% |
823
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
394
14.0 IPS |
