samsung SM-A366W
Geekbench AI Score
231
Single Precision Score
303
Half Precision Score
331
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | May 12 2025 06:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 5.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
163
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (Q)
|
96% |
234
43.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
321
5.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
310
0.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
315
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (Q)
|
87% |
171
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (HP)
|
100% |
635
7.54 IPS |
|
|
Face Detection (Q)
|
97% |
599
7.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
328
2.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
518
4.00 IPS |
|
|
Depth Estimation (Q)
|
63% |
437
4.05 IPS |
|
|
Style Transfer (SP)
|
100% |
791
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
1377
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1423
1.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
156
5.78 IPS |
|
|
Text Classification (SP)
|
100% |
114
151.6 IPS |
|
|
Text Classification (HP)
|
100% |
113
151.0 IPS |
|
|
Text Classification (Q)
|
91% |
277
371.7 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.40 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.00 IPS |
