samsung SM-A037W
Geekbench AI Score
205
Single Precision Score
199
Half Precision Score
221
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 05 2024 10:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
125
23.3 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
100% |
200
37.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
298
4.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
541
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
345
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.61 IPS |
|
|
Object Detection (HP)
|
100% |
101
7.99 IPS |
|
|
Object Detection (Q)
|
83% |
147
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
246
2.93 IPS |
|
|
Face Detection (HP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (Q)
|
95% |
391
4.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
345
2.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
283
2.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
298
2.73 IPS |
|
|
Style Transfer (SP)
|
89% |
787
1.02 IPS |
|
|
Style Transfer (HP)
|
89% |
774
1.00 IPS |
|
|
Style Transfer (Q)
|
98% |
741
0.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
144
5.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
172
6.37 IPS |
|
|
Text Classification (SP)
|
100% |
88
117.9 IPS |
|
|
Text Classification (HP)
|
100% |
100
134.0 IPS |
|
|
Text Classification (Q)
|
88% |
96
129.7 IPS |
|
|
Machine Translation (SP)
|
100% |
128
2.20 IPS |
|
|
Machine Translation (HP)
|
100% |
133
2.29 IPS |
|
|
Machine Translation (Q)
|
50% |
66
2.33 IPS |
