samsung SM-A037W
Geekbench AI Score
221
Single Precision Score
225
Half Precision Score
251
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 02:37 PM |
| Views | 2 |
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% |
123
22.9 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (Q)
|
100% |
208
38.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
313
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
560
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
396
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.28 IPS |
|
|
Object Detection (Q)
|
83% |
174
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (HP)
|
100% |
266
3.17 IPS |
|
|
Face Detection (Q)
|
95% |
448
5.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
376
2.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
365
2.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
352
3.23 IPS |
|
|
Style Transfer (SP)
|
89% |
817
1.06 IPS |
|
|
Style Transfer (HP)
|
89% |
834
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
820
1.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
167
6.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
209
7.74 IPS |
|
|
Text Classification (SP)
|
100% |
102
136.5 IPS |
|
|
Text Classification (HP)
|
100% |
106
141.4 IPS |
|
|
Text Classification (Q)
|
88% |
112
150.9 IPS |
|
|
Machine Translation (SP)
|
100% |
156
2.68 IPS |
|
|
Machine Translation (HP)
|
100% |
156
2.68 IPS |
|
|
Machine Translation (Q)
|
50% |
76
2.71 IPS |
