Samsung Galaxy A51
Geekbench AI Score
264
Single Precision Score
431
Half Precision Score
337
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Asgardian456 |
| Upload Date | July 01 2025 10:52 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 9611 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.2 IPS |
|
|
Image Classification (Q)
|
97% |
213
39.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
425
6.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1059
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2043
2.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
1987
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
99% |
258
20.5 IPS |
|
|
Object Detection (Q)
|
83% |
234
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
543
6.45 IPS |
|
|
Face Detection (HP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
745
8.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
619
4.77 IPS |
|
|
Depth Estimation (HP)
|
98% |
1121
8.66 IPS |
|
|
Depth Estimation (Q)
|
62% |
889
8.45 IPS |
|
|
Style Transfer (SP)
|
100% |
1395
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2813
3.62 IPS |
|
|
Style Transfer (Q)
|
98% |
2815
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
634
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
670
24.8 IPS |
|
|
Text Classification (SP)
|
35% |
9
84.0 IPS |
|
|
Text Classification (HP)
|
35% |
11
102.9 IPS |
|
|
Text Classification (Q)
|
33% |
9
102.8 IPS |
|
|
Machine Translation (SP)
|
100% |
159
2.73 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (Q)
|
43% |
41
2.40 IPS |
