samsung SC-51B
Geekbench AI Score
324
Single Precision Score
319
Half Precision Score
15483
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 11:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
203
37.7 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
99% |
11449
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
12677
206.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
332
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
329
0.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
91340
107.1 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
88% |
6550
524.7 IPS |
|
|
Face Detection (SP)
|
100% |
479
5.69 IPS |
|
|
Face Detection (HP)
|
100% |
471
5.59 IPS |
|
|
Face Detection (Q)
|
97% |
32756
390.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
403
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
401
3.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
34273
315.5 IPS |
|
|
Style Transfer (SP)
|
100% |
628
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
651
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
122591
158.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
205
7.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
31706
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
316
421.8 IPS |
|
|
Text Classification (HP)
|
100% |
322
429.2 IPS |
|
|
Text Classification (Q)
|
94% |
3043
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
50% |
687
23.8 IPS |
