samsung SM-A057F
Geekbench AI Score
139
Single Precision Score
215
Half Precision Score
195
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 09:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A057F |
| Model ID | samsung SM-A057F |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (Q)
|
99% |
151
28.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
212
3.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (HP)
|
99% |
792
0.92 IPS |
|
|
Pose Estimation (Q)
|
97% |
790
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
83
6.57 IPS |
|
|
Object Detection (HP)
|
99% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
85% |
127
10.2 IPS |
|
|
Face Detection (SP)
|
100% |
306
3.64 IPS |
|
|
Face Detection (HP)
|
100% |
485
5.76 IPS |
|
|
Face Detection (Q)
|
97% |
441
5.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
299
2.30 IPS |
|
|
Depth Estimation (HP)
|
98% |
462
3.57 IPS |
|
|
Depth Estimation (Q)
|
63% |
380
3.51 IPS |
|
|
Style Transfer (SP)
|
100% |
718
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
1091
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
1083
1.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
168
6.21 IPS |
|
|
Text Classification (SP)
|
35% |
6
55.0 IPS |
|
|
Text Classification (HP)
|
35% |
9
81.6 IPS |
|
|
Text Classification (Q)
|
35% |
9
78.8 IPS |
|
|
Machine Translation (SP)
|
100% |
98
1.68 IPS |
|
|
Machine Translation (HP)
|
97% |
137
2.37 IPS |
|
|
Machine Translation (Q)
|
64% |
94
1.93 IPS |
