samsung SC-51B
Geekbench AI Score
533
Single Precision Score
942
Half Precision Score
113
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 10:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM SM8350 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SC-51B |
| Model ID | samsung SC-51B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
557
103.7 IPS |
|
|
Image Classification (HP)
|
100% |
1101
204.7 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.31 IPS |
|
|
Image Segmentation (SP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
599
9.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1998
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
7089
8.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
1445
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
563
44.7 IPS |
|
|
Object Detection (HP)
|
99% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
2% |
12
293.6 IPS |
|
|
Face Detection (SP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.64 IPS |
|
|
Face Detection (Q)
|
97% |
1185
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
671
5.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
404
3.11 IPS |
|
|
Depth Estimation (Q)
|
5% |
35
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2152
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (Q)
|
18% |
13
0.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3223
119.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.54 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.93 IPS |
|
|
Text Classification (HP)
|
100% |
269
359.6 IPS |
|
|
Text Classification (Q)
|
93% |
34
45.3 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.95 IPS |
|
|
Machine Translation (Q)
|
57% |
410
10.0 IPS |
