samsung SM-G556B
Geekbench AI Score
202
Single Precision Score
284
Half Precision Score
187
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | September 24 2025 09:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-G556B |
| Model ID | samsung SM-G556B |
| Motherboard | xcover7 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
97% |
62
11.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
74
1.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
816
0.95 IPS |
|
|
Pose Estimation (HP)
|
98% |
1840
2.15 IPS |
|
|
Pose Estimation (Q)
|
70% |
1069
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.59 IPS |
|
|
Object Detection (Q)
|
80% |
74
6.02 IPS |
|
|
Face Detection (SP)
|
28% |
34
6.36 IPS |
|
|
Face Detection (HP)
|
100% |
248
2.95 IPS |
|
|
Face Detection (Q)
|
97% |
110
1.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
346
2.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
201
1.54 IPS |
|
|
Depth Estimation (Q)
|
57% |
229
2.49 IPS |
|
|
Style Transfer (SP)
|
100% |
667
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
343
0.44 IPS |
|
|
Style Transfer (Q)
|
98% |
1594
2.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
390
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
85
114.1 IPS |
|
|
Text Classification (HP)
|
100% |
153
203.6 IPS |
|
|
Text Classification (Q)
|
93% |
86
114.8 IPS |
|
|
Machine Translation (SP)
|
100% |
191
3.30 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (Q)
|
55% |
110
2.92 IPS |
