samsung SM-A057F
Geekbench AI Score
281
Single Precision Score
274
Half Precision Score
324
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 01:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
133
24.7 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.7 IPS |
|
|
Image Classification (Q)
|
100% |
233
43.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
300
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
657
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
521
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (Q)
|
83% |
235
19.0 IPS |
|
|
Face Detection (SP)
|
100% |
403
4.79 IPS |
|
|
Face Detection (HP)
|
100% |
405
4.82 IPS |
|
|
Face Detection (Q)
|
95% |
558
6.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
561
4.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
571
4.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
552
5.06 IPS |
|
|
Style Transfer (SP)
|
89% |
1119
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1113
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1440
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
301
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.6 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.3 IPS |
|
|
Text Classification (Q)
|
88% |
127
171.1 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (HP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (Q)
|
50% |
88
3.12 IPS |
