samsung SM-A057F
Geekbench AI Score
349
Single Precision Score
350
Half Precision Score
390
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 09:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
100% |
312
58.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
403
6.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
856
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
855
1.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
708
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
317
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (HP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (Q)
|
95% |
753
8.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
706
5.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
702
5.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
743
6.80 IPS |
|
|
Style Transfer (SP)
|
89% |
1454
1.89 IPS |
|
|
Style Transfer (HP)
|
89% |
1453
1.89 IPS |
|
|
Style Transfer (Q)
|
98% |
1932
2.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
200
7.41 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.8 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.0 IPS |
|
|
Text Classification (Q)
|
88% |
142
192.0 IPS |
|
|
Machine Translation (SP)
|
100% |
205
3.54 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.47 IPS |
|
|
Machine Translation (Q)
|
50% |
96
3.40 IPS |
