samsung SM-A045F
Geekbench AI Score
140
Single Precision Score
141
Half Precision Score
161
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 08 2024 04:39 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A045F |
| Model ID | samsung SM-A045F |
| Motherboard | a04 |
| 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% |
38
7.02 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.4 IPS |
|
|
Image Classification (Q)
|
100% |
117
21.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
95
1.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
169
2.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
368
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
337
0.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
260
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
74
5.85 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.79 IPS |
|
|
Object Detection (Q)
|
83% |
107
8.66 IPS |
|
|
Face Detection (SP)
|
100% |
164
1.95 IPS |
|
|
Face Detection (HP)
|
100% |
175
2.09 IPS |
|
|
Face Detection (Q)
|
95% |
257
3.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
256
1.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
273
2.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
245
2.24 IPS |
|
|
Style Transfer (SP)
|
89% |
638
0.83 IPS |
|
|
Style Transfer (HP)
|
89% |
634
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
627
0.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
77
2.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
123
4.57 IPS |
|
|
Text Classification (SP)
|
100% |
80
106.2 IPS |
|
|
Text Classification (HP)
|
100% |
72
95.8 IPS |
|
|
Text Classification (Q)
|
88% |
87
117.6 IPS |
|
|
Machine Translation (SP)
|
100% |
110
1.90 IPS |
|
|
Machine Translation (HP)
|
100% |
109
1.87 IPS |
|
|
Machine Translation (Q)
|
50% |
51
1.79 IPS |
