samsung SCG30
Geekbench AI Score
1582
Single Precision Score
1361
Half Precision Score
1351
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 02:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SCG30 |
| Model ID | samsung SCG30 |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.11 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
594
110.5 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
99% |
502
93.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1549
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3613
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2517
2.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
2473
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
86% |
618
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (Q)
|
97% |
2836
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3149
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2472
19.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2049
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9166
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7479
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
7416
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1060
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1046
38.8 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.8 IPS |
|
|
Text Classification (HP)
|
100% |
430
573.8 IPS |
|
|
Text Classification (Q)
|
91% |
709
953.4 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
536
13.1 IPS |
