samsung SCG20
Geekbench AI Score
2078
Single Precision Score
2053
Half Precision Score
3352
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 04:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SCG20 |
| Model ID | samsung SCG20 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1774
329.8 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.4 IPS |
|
|
Image Classification (Q)
|
100% |
2818
524.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2985
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2961
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2850
3.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
6393
7.58 IPS |
|
|
Object Detection (SP)
|
98% |
1527
121.5 IPS |
|
|
Object Detection (HP)
|
98% |
1545
123.0 IPS |
|
|
Object Detection (Q)
|
83% |
2417
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
5405
64.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3031
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2929
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5223
47.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6952
9.02 IPS |
|
|
Style Transfer (HP)
|
89% |
6716
8.72 IPS |
|
|
Style Transfer (Q)
|
98% |
13489
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1438
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3867
143.3 IPS |
|
|
Text Classification (SP)
|
100% |
737
983.6 IPS |
|
|
Text Classification (HP)
|
99% |
733
978.5 IPS |
|
|
Text Classification (Q)
|
88% |
1225
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (Q)
|
50% |
765
27.1 IPS |
