samsung SM-A037W
Geekbench AI Score
187
Single Precision Score
179
Half Precision Score
191
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | July 15 2025 05:10 PM |
| Views | 10 |
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% |
127
23.7 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.1 IPS |
|
|
Image Classification (Q)
|
100% |
196
36.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
294
4.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
408
0.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
259
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.23 IPS |
|
|
Object Detection (HP)
|
100% |
82
6.50 IPS |
|
|
Object Detection (Q)
|
83% |
99
8.00 IPS |
|
|
Face Detection (SP)
|
100% |
214
2.55 IPS |
|
|
Face Detection (HP)
|
100% |
196
2.33 IPS |
|
|
Face Detection (Q)
|
95% |
272
3.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
246
2.25 IPS |
|
|
Style Transfer (SP)
|
89% |
668
0.87 IPS |
|
|
Style Transfer (HP)
|
89% |
663
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
598
0.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
167
6.19 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.5 IPS |
|
|
Text Classification (HP)
|
100% |
98
130.7 IPS |
|
|
Text Classification (Q)
|
88% |
107
144.5 IPS |
|
|
Machine Translation (SP)
|
100% |
127
2.19 IPS |
|
|
Machine Translation (HP)
|
100% |
132
2.28 IPS |
|
|
Machine Translation (Q)
|
50% |
63
2.23 IPS |
