Samsung Galaxy S20 Ultra 5G
Geekbench AI Score
883
Single Precision Score
885
Half Precision Score
1669
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 28 2025 10:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 Ultra 5G |
| Model ID | samsung SM-G988U |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.5 IPS |
|
|
Image Classification (Q)
|
100% |
1292
240.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
1573
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1804
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1756
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
3022
3.58 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
83% |
1159
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
1308
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (Q)
|
95% |
2568
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1421
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1408
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2606
23.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3113
4.04 IPS |
|
|
Style Transfer (HP)
|
89% |
3076
3.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6909
8.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
895
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1630
60.4 IPS |
|
|
Text Classification (SP)
|
100% |
479
639.4 IPS |
|
|
Text Classification (HP)
|
100% |
488
651.9 IPS |
|
|
Text Classification (Q)
|
88% |
812
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
387
13.8 IPS |
