Samsung Galaxy A51
Geekbench AI Score
247
Single Precision Score
253
Half Precision Score
315
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Shayan_Q9 |
| Upload Date | September 19 2025 06:15 AM |
| Views | 2 |
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 | 5.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
100% |
208
38.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
274
4.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
580
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
566
0.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
459
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
108
8.55 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.02 IPS |
|
|
Object Detection (Q)
|
83% |
210
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
341
4.06 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
95% |
511
6.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
437
3.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
434
3.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
474
4.34 IPS |
|
|
Style Transfer (SP)
|
89% |
982
1.28 IPS |
|
|
Style Transfer (HP)
|
89% |
1010
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
1215
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
247
9.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
270
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
107
143.4 IPS |
|
|
Text Classification (HP)
|
100% |
126
168.6 IPS |
|
|
Text Classification (Q)
|
88% |
184
247.7 IPS |
|
|
Machine Translation (SP)
|
100% |
209
3.60 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.66 IPS |
|
|
Machine Translation (Q)
|
50% |
122
4.34 IPS |
