Samsung Galaxy S20 Ultra 5G
Geekbench AI Score
859
Single Precision Score
859
Half Precision Score
1417
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 03:54 PM |
| Views | 2 |
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-G9880 |
| 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% |
531
98.7 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
100% |
1458
271.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
689
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2513
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2482
2.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
3829
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
83% |
1434
115.9 IPS |
|
|
Face Detection (SP)
|
100% |
1704
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (Q)
|
95% |
3440
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1504
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1471
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3468
31.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4271
5.54 IPS |
|
|
Style Transfer (HP)
|
89% |
4249
5.52 IPS |
|
|
Style Transfer (Q)
|
98% |
8983
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
628
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
158
210.3 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.2 IPS |
|
|
Text Classification (Q)
|
88% |
271
366.0 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (Q)
|
50% |
131
4.64 IPS |
