samsung SM-A366W
Geekbench AI Score
918
Single Precision Score
908
Half Precision Score
1932
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 06 2025 12:01 AM |
| 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% |
460
85.6 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.2 IPS |
|
|
Image Classification (Q)
|
100% |
1442
268.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1670
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2046
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2008
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3768
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
83% |
1289
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
3290
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1575
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1568
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3155
28.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3705
4.81 IPS |
|
|
Style Transfer (HP)
|
89% |
3446
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
7946
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
875
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1889
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.2 IPS |
|
|
Text Classification (HP)
|
100% |
456
608.6 IPS |
|
|
Text Classification (Q)
|
88% |
916
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
436
15.5 IPS |
