samsung SM-A366W
Geekbench AI Score
231
Single Precision Score
301
Half Precision Score
327
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 15 2025 08:53 PM |
| Views | 8 |
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
30.4 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (Q)
|
96% |
233
43.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
315
5.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
313
0.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
315
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
87% |
169
13.6 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
634
7.53 IPS |
|
|
Face Detection (Q)
|
97% |
594
7.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
329
2.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
507
3.92 IPS |
|
|
Depth Estimation (Q)
|
63% |
421
3.91 IPS |
|
|
Style Transfer (SP)
|
100% |
787
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
1360
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
1400
1.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
153
5.68 IPS |
|
|
Text Classification (SP)
|
100% |
114
151.7 IPS |
|
|
Text Classification (HP)
|
100% |
113
151.1 IPS |
|
|
Text Classification (Q)
|
91% |
276
371.4 IPS |
|
|
Machine Translation (SP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.01 IPS |
