samsung SM-A037U
Geekbench AI Score
171
Single Precision Score
171
Half Precision Score
186
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 07:19 AM |
| Views | 1 |
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% |
91
17.0 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
100% |
128
23.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
109
1.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
175
2.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
407
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
431
0.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
300
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.17 IPS |
|
|
Object Detection (HP)
|
100% |
88
7.02 IPS |
|
|
Object Detection (Q)
|
83% |
125
10.1 IPS |
|
|
Face Detection (SP)
|
100% |
218
2.59 IPS |
|
|
Face Detection (HP)
|
100% |
211
2.51 IPS |
|
|
Face Detection (Q)
|
95% |
301
3.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
296
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
305
2.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
284
2.60 IPS |
|
|
Style Transfer (SP)
|
89% |
757
0.98 IPS |
|
|
Style Transfer (HP)
|
89% |
773
1.00 IPS |
|
|
Style Transfer (Q)
|
98% |
727
0.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
165
6.10 IPS |
|
|
Text Classification (SP)
|
100% |
75
100.7 IPS |
|
|
Text Classification (HP)
|
100% |
82
109.4 IPS |
|
|
Text Classification (Q)
|
88% |
98
132.0 IPS |
|
|
Machine Translation (SP)
|
100% |
120
2.07 IPS |
|
|
Machine Translation (HP)
|
100% |
120
2.07 IPS |
|
|
Machine Translation (Q)
|
50% |
61
2.15 IPS |
