samsung SC-51B
Geekbench AI Score
336
Single Precision Score
304
Half Precision Score
626
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 11:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
100% |
471
87.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
644
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1185
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
399
32.2 IPS |
|
|
Face Detection (SP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.13 IPS |
|
|
Face Detection (Q)
|
95% |
856
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
507
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
500
3.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1035
9.48 IPS |
|
|
Style Transfer (SP)
|
89% |
1113
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1111
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2461
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.3 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.8 IPS |
|
|
Text Classification (Q)
|
88% |
266
359.0 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (Q)
|
50% |
149
5.28 IPS |
