samsung SM-A037W
Geekbench AI Score
206
Single Precision Score
220
Half Precision Score
251
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 27 2024 10:25 AM |
| Views | 3 |
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% |
113
21.1 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (Q)
|
100% |
188
35.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
299
4.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
551
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
400
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.24 IPS |
|
|
Object Detection (Q)
|
83% |
177
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
276
3.27 IPS |
|
|
Face Detection (HP)
|
100% |
269
3.20 IPS |
|
|
Face Detection (Q)
|
95% |
452
5.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
360
2.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
364
2.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
359
3.29 IPS |
|
|
Style Transfer (SP)
|
89% |
857
1.11 IPS |
|
|
Style Transfer (HP)
|
89% |
858
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
829
1.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
5.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
162
5.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
202
7.50 IPS |
|
|
Text Classification (SP)
|
100% |
61
81.1 IPS |
|
|
Text Classification (HP)
|
100% |
108
143.6 IPS |
|
|
Text Classification (Q)
|
88% |
118
159.8 IPS |
|
|
Machine Translation (SP)
|
100% |
153
2.64 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.70 IPS |
|
|
Machine Translation (Q)
|
50% |
79
2.81 IPS |
