Samsung Galaxy S20 Ultra 5G
Geekbench AI Score
787
Single Precision Score
789
Half Precision Score
1351
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 28 2025 12:51 AM |
| Views | 8 |
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% |
523
97.3 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.3 IPS |
|
|
Image Classification (Q)
|
100% |
1488
276.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1687
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1716
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
3353
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
83% |
1313
106.1 IPS |
|
|
Face Detection (SP)
|
100% |
1472
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (Q)
|
95% |
3123
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1666
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1682
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3028
27.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3641
4.73 IPS |
|
|
Style Transfer (HP)
|
89% |
3669
4.76 IPS |
|
|
Style Transfer (Q)
|
98% |
7579
9.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.5 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.2 IPS |
|
|
Text Classification (Q)
|
88% |
265
356.8 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.43 IPS |
