samsung SC-51E
Geekbench AI Score
2331
Single Precision Score
2312
Half Precision Score
3472
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 01:36 PM |
| Views | 2 |
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 | 6.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.7 IPS |
|
|
Image Classification (Q)
|
100% |
3274
608.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2587
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4325
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4223
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4143
4.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
7957
9.44 IPS |
|
|
Object Detection (SP)
|
98% |
1506
119.9 IPS |
|
|
Object Detection (HP)
|
98% |
1508
120.0 IPS |
|
|
Object Detection (Q)
|
83% |
2170
175.3 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
4668
55.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3234
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3256
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5564
51.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8575
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8449
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16049
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3814
141.3 IPS |
|
|
Text Classification (SP)
|
100% |
650
867.6 IPS |
|
|
Text Classification (HP)
|
99% |
620
826.9 IPS |
|
|
Text Classification (Q)
|
88% |
905
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1523
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
724
25.7 IPS |
