samsung SM-A366W
Geekbench AI Score
138
Single Precision Score
138
Half Precision Score
392
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:53 AM |
| Views | 2 |
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
47.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
110
1.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
300
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
561
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.26 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.27 IPS |
|
|
Object Detection (Q)
|
87% |
268
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
231
2.75 IPS |
|
|
Face Detection (HP)
|
100% |
232
2.76 IPS |
|
|
Face Detection (Q)
|
97% |
620
7.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
184
1.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
185
1.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
519
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
335
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
336
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
1047
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
86
3.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
330
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.7 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.2 IPS |
|
|
Text Classification (Q)
|
91% |
278
373.7 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.42 IPS |
|
|
Machine Translation (Q)
|
57% |
245
6.00 IPS |
