samsung SM-A037W
Geekbench AI Score
122
Single Precision Score
116
Half Precision Score
85
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | July 15 2025 10:29 PM |
| Views | 7 |
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% |
77
14.3 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.6 IPS |
|
|
Image Classification (Q)
|
100% |
65
12.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
101
1.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
87
1.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
413
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
408
0.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
391
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.72 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.77 IPS |
|
|
Object Detection (Q)
|
85% |
64
5.17 IPS |
|
|
Face Detection (SP)
|
100% |
218
2.59 IPS |
|
|
Face Detection (HP)
|
100% |
203
2.42 IPS |
|
|
Face Detection (Q)
|
97% |
164
1.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
266
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
249
1.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
196
1.79 IPS |
|
|
Style Transfer (SP)
|
100% |
753
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
747
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
708
0.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
150
5.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
133
4.92 IPS |
|
|
Text Classification (SP)
|
35% |
7
64.1 IPS |
|
|
Text Classification (HP)
|
35% |
6
62.0 IPS |
|
|
Text Classification (Q)
|
32% |
5
58.5 IPS |
|
|
Machine Translation (SP)
|
100% |
66
1.13 IPS |
|
|
Machine Translation (HP)
|
100% |
57
0.98 IPS |
|
|
Machine Translation (Q)
|
41% |
10
0.69 IPS |
