samsung SCG20
Geekbench AI Score
1859
Single Precision Score
1849
Half Precision Score
2944
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 04:22 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% |
1524
283.3 IPS |
|
|
Image Classification (HP)
|
100% |
1504
279.6 IPS |
|
|
Image Classification (Q)
|
100% |
2478
460.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2671
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2768
3.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
6496
7.70 IPS |
|
|
Object Detection (SP)
|
98% |
1360
108.2 IPS |
|
|
Object Detection (HP)
|
98% |
1374
109.4 IPS |
|
|
Object Detection (Q)
|
83% |
1805
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (Q)
|
95% |
4484
53.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2789
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2690
20.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4621
42.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6661
8.65 IPS |
|
|
Style Transfer (HP)
|
89% |
6746
8.76 IPS |
|
|
Style Transfer (Q)
|
98% |
12844
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1316
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3263
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
613
818.3 IPS |
|
|
Text Classification (HP)
|
99% |
608
812.0 IPS |
|
|
Text Classification (Q)
|
88% |
1015
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
716
25.4 IPS |
