samsung SC-51E
Geekbench AI Score
2225
Single Precision Score
3446
Half Precision Score
2689
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 02:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2094
389.4 IPS |
|
|
Image Classification (Q)
|
100% |
1909
355.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3109
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4943
80.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3888
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11097
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
20353
23.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19498
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (HP)
|
99% |
1864
147.9 IPS |
|
|
Object Detection (Q)
|
87% |
1801
144.7 IPS |
|
|
Face Detection (SP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7437
88.4 IPS |
|
|
Face Detection (Q)
|
97% |
5916
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5774
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8486
65.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
6510
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14201
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30194
38.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31804
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3112
114.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4820
178.6 IPS |
|
|
Text Classification (SP)
|
35% |
52
509.1 IPS |
|
|
Text Classification (HP)
|
35% |
68
618.6 IPS |
|
|
Text Classification (Q)
|
33% |
51
613.2 IPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
97% |
942
16.3 IPS |
|
|
Machine Translation (Q)
|
43% |
252
14.3 IPS |
