Samsung Galaxy A51
Geekbench AI Score
261
Single Precision Score
257
Half Precision Score
322
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Shayan_Q9 |
| Upload Date | September 19 2025 05:36 AM |
| Views | 3 |
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% |
132
24.5 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.8 IPS |
|
|
Image Classification (Q)
|
100% |
229
42.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
303
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
569
0.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
474
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.71 IPS |
|
|
Object Detection (Q)
|
83% |
205
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (HP)
|
100% |
336
4.00 IPS |
|
|
Face Detection (Q)
|
95% |
493
5.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
449
3.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
437
3.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
482
4.41 IPS |
|
|
Style Transfer (SP)
|
89% |
992
1.29 IPS |
|
|
Style Transfer (HP)
|
89% |
1000
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
1267
1.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
248
9.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
273
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
127
168.9 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.0 IPS |
|
|
Text Classification (Q)
|
88% |
181
244.6 IPS |
|
|
Machine Translation (SP)
|
100% |
213
3.67 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.61 IPS |
|
|
Machine Translation (Q)
|
50% |
120
4.27 IPS |
