samsung SC-51E
Geekbench AI Score
340
Single Precision Score
331
Half Precision Score
725
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 08:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SC-51E |
| Model ID | samsung SC-51E |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
299
55.7 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
99% |
778
145.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
354
0.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1175
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.4 IPS |
|
|
Object Detection (Q)
|
87% |
476
38.2 IPS |
|
|
Face Detection (SP)
|
100% |
439
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
442
5.26 IPS |
|
|
Face Detection (Q)
|
97% |
975
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
391
3.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
392
3.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
891
8.08 IPS |
|
|
Style Transfer (SP)
|
100% |
641
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
642
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1542
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
672
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
245
326.5 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.1 IPS |
|
|
Text Classification (Q)
|
91% |
400
537.5 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (Q)
|
57% |
333
8.15 IPS |
