samsung SM-A366W
Geekbench AI Score
138
Single Precision Score
138
Half Precision Score
391
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 12:43 PM |
| Views | 7 |
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% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
99% |
255
47.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
110
1.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
110
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% |
558
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.24 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.25 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% |
619
7.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
183
1.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
184
1.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
515
4.68 IPS |
|
|
Style Transfer (SP)
|
100% |
332
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
334
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
1043
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
86
3.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
330
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.2 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.3 IPS |
|
|
Text Classification (Q)
|
91% |
277
372.3 IPS |
|
|
Machine Translation (SP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.40 IPS |
|
|
Machine Translation (Q)
|
57% |
245
6.00 IPS |
