samsung SM-A037W
Geekbench AI Score
230
Single Precision Score
226
Half Precision Score
261
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 08:24 PM |
| Views | 4 |
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% |
126
23.4 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
100% |
188
34.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
303
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
569
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
410
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.35 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.52 IPS |
|
|
Object Detection (Q)
|
83% |
178
14.4 IPS |
|
|
Face Detection (SP)
|
100% |
282
3.36 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.27 IPS |
|
|
Face Detection (Q)
|
95% |
456
5.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
374
2.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
367
2.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
381
3.49 IPS |
|
|
Style Transfer (SP)
|
89% |
872
1.13 IPS |
|
|
Style Transfer (HP)
|
89% |
878
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
884
1.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
168
6.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.24 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
218
8.09 IPS |
|
|
Text Classification (SP)
|
100% |
115
154.2 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.0 IPS |
|
|
Text Classification (Q)
|
88% |
129
173.4 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (HP)
|
100% |
168
2.90 IPS |
|
|
Machine Translation (Q)
|
50% |
83
2.94 IPS |
