samsung SM-A366W
Geekbench AI Score
231
Single Precision Score
300
Half Precision Score
327
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 02:52 AM |
| Views | 2 |
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
30.3 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.4 IPS |
|
|
Image Classification (Q)
|
96% |
230
43.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
323
5.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
314
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
293
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
87% |
169
13.5 IPS |
|
|
Face Detection (SP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (HP)
|
100% |
634
7.53 IPS |
|
|
Face Detection (Q)
|
97% |
601
7.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
328
2.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
516
3.99 IPS |
|
|
Depth Estimation (Q)
|
63% |
437
4.05 IPS |
|
|
Style Transfer (SP)
|
100% |
794
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
1398
1.80 IPS |
|
|
Style Transfer (Q)
|
98% |
1436
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
153
5.66 IPS |
|
|
Text Classification (SP)
|
100% |
114
151.8 IPS |
|
|
Text Classification (HP)
|
100% |
113
151.2 IPS |
|
|
Text Classification (Q)
|
91% |
277
371.6 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.40 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.01 IPS |
