samsung SC-51E
Geekbench AI Score
924
Single Precision Score
1426
Half Precision Score
1361
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 08:33 AM |
| Views | 2 |
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% |
675
125.5 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (Q)
|
96% |
660
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1534
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1116
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
1879
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
87% |
738
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
2507
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1356
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2606
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2201
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4570
5.87 IPS |
|
|
Style Transfer (HP)
|
100% |
7609
9.78 IPS |
|
|
Style Transfer (Q)
|
98% |
7567
9.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
918
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.1 IPS |
|
|
Text Classification (HP)
|
100% |
446
594.9 IPS |
|
|
Text Classification (Q)
|
91% |
724
972.5 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
563
13.8 IPS |
