Samsung Galaxy A51
Geekbench AI Score
295
Single Precision Score
294
Half Precision Score
361
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Asgardian456 |
| Upload Date | July 01 2025 10:40 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
138
25.7 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.2 IPS |
|
|
Image Classification (Q)
|
100% |
237
44.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
315
5.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
657
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
512
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.95 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.0 IPS |
|
|
Object Detection (Q)
|
83% |
232
18.7 IPS |
|
|
Face Detection (SP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (HP)
|
100% |
406
4.83 IPS |
|
|
Face Detection (Q)
|
95% |
582
6.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
539
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
528
4.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
540
4.94 IPS |
|
|
Style Transfer (SP)
|
89% |
1115
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1117
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1462
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
312
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.8 IPS |
|
|
Text Classification (HP)
|
100% |
146
195.0 IPS |
|
|
Text Classification (Q)
|
88% |
218
293.4 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
50% |
138
4.91 IPS |
