samsung SM-A037U
Geekbench AI Score
175
Single Precision Score
179
Half Precision Score
197
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 04:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A037U |
| Model ID | samsung SM-A037U |
| 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% |
97
18.1 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
100% |
175
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
247
4.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
431
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
415
0.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
311
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.94 IPS |
|
|
Object Detection (HP)
|
100% |
89
7.02 IPS |
|
|
Object Detection (Q)
|
83% |
125
10.1 IPS |
|
|
Face Detection (SP)
|
100% |
189
2.25 IPS |
|
|
Face Detection (HP)
|
100% |
208
2.47 IPS |
|
|
Face Detection (Q)
|
95% |
330
3.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
296
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
289
2.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
283
2.59 IPS |
|
|
Style Transfer (SP)
|
89% |
747
0.97 IPS |
|
|
Style Transfer (HP)
|
89% |
782
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
705
0.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
159
5.91 IPS |
|
|
Text Classification (SP)
|
100% |
75
100.3 IPS |
|
|
Text Classification (HP)
|
100% |
82
109.8 IPS |
|
|
Text Classification (Q)
|
88% |
84
113.5 IPS |
|
|
Machine Translation (SP)
|
100% |
129
2.22 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.79 IPS |
|
|
Machine Translation (Q)
|
50% |
61
2.16 IPS |
