samsung SM-A366W
Geekbench AI Score
137
Single Precision Score
138
Half Precision Score
389
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 03:14 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
80
14.9 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.0 IPS |
|
|
Image Classification (Q)
|
99% |
254
47.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
110
1.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
298
4.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
566
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.22 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.26 IPS |
|
|
Object Detection (Q)
|
87% |
265
21.3 IPS |
|
|
Face Detection (SP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (HP)
|
100% |
232
2.75 IPS |
|
|
Face Detection (Q)
|
97% |
616
7.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
182
1.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
508
4.61 IPS |
|
|
Style Transfer (SP)
|
100% |
328
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
330
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1032
1.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
85
3.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
325
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.3 IPS |
|
|
Text Classification (HP)
|
100% |
112
148.9 IPS |
|
|
Text Classification (Q)
|
91% |
277
372.2 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.35 IPS |
|
|
Machine Translation (HP)
|
100% |
197
3.39 IPS |
|
|
Machine Translation (Q)
|
57% |
244
5.96 IPS |
