samsung SC-51E
Geekbench AI Score
2965
Single Precision Score
3024
Half Precision Score
4818
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
2506
466.1 IPS |
|
|
Image Classification (Q)
|
100% |
3507
652.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4393
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4678
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4486
5.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
10584
12.6 IPS |
|
|
Object Detection (SP)
|
98% |
2090
166.4 IPS |
|
|
Object Detection (HP)
|
98% |
2336
185.9 IPS |
|
|
Object Detection (Q)
|
83% |
3724
300.8 IPS |
|
|
Face Detection (SP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
4450
52.9 IPS |
|
|
Face Detection (Q)
|
95% |
8212
98.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4386
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4084
31.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
7652
70.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10672
13.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10895
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20111
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2282
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2304
85.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5653
209.5 IPS |
|
|
Text Classification (SP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (HP)
|
99% |
1037
1.38 KIPS |
|
|
Text Classification (Q)
|
88% |
1568
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (Q)
|
50% |
991
35.2 IPS |
