samsung SC-51E
Geekbench AI Score
1198
Single Precision Score
1737
Half Precision Score
1594
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
853
158.6 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (Q)
|
96% |
660
123.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1328
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1118
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2750
3.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
2730
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (HP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (Q)
|
87% |
686
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (Q)
|
97% |
2404
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1907
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3986
30.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
3267
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7369
9.47 IPS |
|
|
Style Transfer (HP)
|
100% |
11851
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11767
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1393
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
487
650.3 IPS |
|
|
Text Classification (HP)
|
100% |
492
656.2 IPS |
|
|
Text Classification (Q)
|
91% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (Q)
|
57% |
642
15.7 IPS |
