samsung SC-51E
Geekbench AI Score
537
Single Precision Score
537
Half Precision Score
1224
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 12:41 AM |
| Views | 1 |
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% |
331
61.5 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (Q)
|
99% |
866
161.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
869
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
587
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
574
0.67 IPS |
|
|
Pose Estimation (Q)
|
98% |
2205
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
318
25.3 IPS |
|
|
Object Detection (Q)
|
87% |
903
72.4 IPS |
|
|
Face Detection (SP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (HP)
|
100% |
787
9.35 IPS |
|
|
Face Detection (Q)
|
97% |
1852
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
698
5.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
696
5.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
1675
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1079
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1073
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
2729
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1221
45.2 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.1 IPS |
|
|
Text Classification (HP)
|
100% |
479
639.5 IPS |
|
|
Text Classification (Q)
|
91% |
778
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
57% |
627
15.3 IPS |
