Samsung Galaxy A51
Geekbench AI Score
276
Single Precision Score
276
Half Precision Score
333
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 12 2025 11:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 9611 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy A51 |
| Model ID | samsung SM-A515F |
| Motherboard | exynos9611 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.74 GHz |
| Cluster 1 | 4 Cores @ 1.74 GHz |
| Cluster 2 | 4 Cores @ 2.31 GHz |
| Memory Information | |
|---|---|
| Size | 3.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
119
22.2 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.2 IPS |
|
|
Image Classification (Q)
|
100% |
211
39.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
279
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
606
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
486
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.14 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.41 IPS |
|
|
Object Detection (Q)
|
83% |
215
17.3 IPS |
|
|
Face Detection (SP)
|
100% |
391
4.64 IPS |
|
|
Face Detection (HP)
|
100% |
390
4.63 IPS |
|
|
Face Detection (Q)
|
95% |
530
6.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
514
3.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
507
4.64 IPS |
|
|
Style Transfer (SP)
|
89% |
1055
1.37 IPS |
|
|
Style Transfer (HP)
|
89% |
1053
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1357
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
289
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
144
192.5 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.7 IPS |
|
|
Text Classification (Q)
|
88% |
208
280.5 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (Q)
|
50% |
127
4.52 IPS |
