samsung SM-A037W
Geekbench AI Score
225
Single Precision Score
219
Half Precision Score
273
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 09 2024 10:27 PM |
| Views | 7 |
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% |
87
16.2 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (Q)
|
100% |
181
33.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
281
4.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
541
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
578
0.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
445
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.88 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.70 IPS |
|
|
Object Detection (Q)
|
83% |
206
16.7 IPS |
|
|
Face Detection (SP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (Q)
|
95% |
499
5.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
373
2.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
363
2.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
425
3.90 IPS |
|
|
Style Transfer (SP)
|
89% |
949
1.23 IPS |
|
|
Style Transfer (HP)
|
89% |
959
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
996
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.35 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
231
8.57 IPS |
|
|
Text Classification (SP)
|
100% |
115
154.0 IPS |
|
|
Text Classification (HP)
|
100% |
98
130.5 IPS |
|
|
Text Classification (Q)
|
88% |
128
173.2 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.92 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.70 IPS |
|
|
Machine Translation (Q)
|
50% |
79
2.82 IPS |
