samsung SCG30
Geekbench AI Score
2721
Single Precision Score
2690
Half Precision Score
4234
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 02:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2311
429.7 IPS |
|
|
Image Classification (HP)
|
100% |
2266
421.4 IPS |
|
|
Image Classification (Q)
|
100% |
3507
652.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3956
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3902
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3751
4.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
8779
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1975
157.2 IPS |
|
|
Object Detection (HP)
|
98% |
2012
160.1 IPS |
|
|
Object Detection (Q)
|
83% |
3110
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (Q)
|
95% |
7094
84.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3874
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3831
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6579
60.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9798
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9576
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18142
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2115
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4826
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
884
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
887
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
1425
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (Q)
|
50% |
840
29.8 IPS |
