samsung SM-A037U
Geekbench AI Score
146
Single Precision Score
138
Half Precision Score
158
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 01:16 PM |
| Views | 6 |
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% |
82
15.2 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.5 IPS |
|
|
Image Classification (Q)
|
100% |
110
20.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
128
2.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
110
1.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
211
3.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
372
0.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
276
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.08 IPS |
|
|
Object Detection (HP)
|
100% |
75
5.99 IPS |
|
|
Object Detection (Q)
|
83% |
102
8.25 IPS |
|
|
Face Detection (SP)
|
100% |
190
2.25 IPS |
|
|
Face Detection (HP)
|
100% |
183
2.18 IPS |
|
|
Face Detection (Q)
|
95% |
324
3.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
236
1.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
249
2.28 IPS |
|
|
Style Transfer (SP)
|
89% |
552
0.72 IPS |
|
|
Style Transfer (HP)
|
89% |
571
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
609
0.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
101
3.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
96
3.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.61 IPS |
|
|
Text Classification (SP)
|
100% |
67
89.1 IPS |
|
|
Text Classification (HP)
|
100% |
63
83.5 IPS |
|
|
Text Classification (Q)
|
88% |
52
70.4 IPS |
|
|
Machine Translation (SP)
|
100% |
77
1.33 IPS |
|
|
Machine Translation (HP)
|
100% |
78
1.34 IPS |
|
|
Machine Translation (Q)
|
50% |
47
1.67 IPS |
