samsung SCG20
Geekbench AI Score
858
Single Precision Score
1150
Half Precision Score
1085
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 04:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
648
120.4 IPS |
|
|
Image Classification (HP)
|
100% |
861
160.0 IPS |
|
|
Image Classification (Q)
|
96% |
687
128.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1228
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
994
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1425
1.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1429
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
733
58.2 IPS |
|
|
Object Detection (Q)
|
87% |
833
66.9 IPS |
|
|
Face Detection (SP)
|
100% |
2274
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (Q)
|
97% |
2609
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1514
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2864
22.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2356
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3859
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8681
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8632
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
358
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.1 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.0 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.2 IPS |
|
|
Machine Translation (SP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
57% |
321
7.83 IPS |
