samsung SM-E556B
Geekbench AI Score
712
Single Precision Score
695
Half Precision Score
1733
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 11:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-E556B |
| Model ID | samsung SM-E556B |
| Motherboard | taro |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.2 IPS |
|
|
Image Classification (Q)
|
100% |
1198
222.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1362
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1618
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1607
1.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
3934
4.67 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (Q)
|
83% |
1165
94.1 IPS |
|
|
Face Detection (SP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (Q)
|
95% |
2774
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1252
9.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
1271
9.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
3058
28.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2718
3.53 IPS |
|
|
Style Transfer (HP)
|
89% |
2713
3.52 IPS |
|
|
Style Transfer (Q)
|
98% |
8155
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
724
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1936
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
334
446.2 IPS |
|
|
Text Classification (HP)
|
100% |
323
431.0 IPS |
|
|
Text Classification (Q)
|
88% |
673
907.9 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.38 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
