samsung SM-A556E
Geekbench AI Score
952
Single Precision Score
935
Half Precision Score
1898
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A556E |
| Model ID | samsung SM-A556E |
| Motherboard | s5e8845 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 2.05 GHz |
| Cluster 1 | 4 Cores @ 2.05 GHz |
| Cluster 2 | 4 Cores @ 2.75 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (Q)
|
100% |
1663
309.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
1910
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2259
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1964
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
3153
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
83% |
1186
95.8 IPS |
|
|
Face Detection (SP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
2973
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1620
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1648
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2957
27.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3427
4.45 IPS |
|
|
Style Transfer (HP)
|
89% |
3455
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
7485
9.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1865
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
464
618.8 IPS |
|
|
Text Classification (HP)
|
100% |
458
610.8 IPS |
|
|
Text Classification (Q)
|
88% |
862
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
485
17.2 IPS |
