samsung SM-A037W
Geekbench AI Score
121
Single Precision Score
114
Half Precision Score
82
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 08:56 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A037W |
| Model ID | samsung SM-A037W |
| Motherboard | a03su |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
76
14.2 IPS |
|
|
Image Classification (HP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (Q)
|
100% |
65
12.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
87
1.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
409
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
406
0.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
388
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
73
5.77 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.65 IPS |
|
|
Object Detection (Q)
|
85% |
63
5.08 IPS |
|
|
Face Detection (SP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (HP)
|
100% |
201
2.39 IPS |
|
|
Face Detection (Q)
|
97% |
163
1.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
266
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
245
1.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
197
1.80 IPS |
|
|
Style Transfer (SP)
|
100% |
751
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
749
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
706
0.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
131
4.87 IPS |
|
|
Text Classification (SP)
|
35% |
7
62.2 IPS |
|
|
Text Classification (HP)
|
35% |
6
61.4 IPS |
|
|
Text Classification (Q)
|
32% |
4
57.3 IPS |
|
|
Machine Translation (SP)
|
100% |
64
1.09 IPS |
|
|
Machine Translation (HP)
|
100% |
54
0.93 IPS |
|
|
Machine Translation (Q)
|
41% |
9
0.63 IPS |
