samsung SM-A037W
Geekbench AI Score
212
Single Precision Score
212
Half Precision Score
249
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 11:17 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% |
114
21.2 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
100% |
194
36.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
298
4.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
499
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
388
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
107
8.48 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.96 IPS |
|
|
Object Detection (Q)
|
83% |
166
13.4 IPS |
|
|
Face Detection (SP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (HP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (Q)
|
95% |
451
5.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
353
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
339
2.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
345
3.16 IPS |
|
|
Style Transfer (SP)
|
89% |
805
1.04 IPS |
|
|
Style Transfer (HP)
|
89% |
814
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
836
1.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
160
5.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
202
7.48 IPS |
|
|
Text Classification (SP)
|
100% |
101
134.8 IPS |
|
|
Text Classification (HP)
|
100% |
105
140.0 IPS |
|
|
Text Classification (Q)
|
88% |
123
166.3 IPS |
|
|
Machine Translation (SP)
|
100% |
145
2.49 IPS |
|
|
Machine Translation (HP)
|
100% |
147
2.53 IPS |
|
|
Machine Translation (Q)
|
50% |
77
2.73 IPS |
