Samsung Galaxy S20 Ultra
Geekbench AI Score
844
Single Precision Score
850
Half Precision Score
1457
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 05:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 Ultra |
| Model ID | samsung SM-G988B |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 10.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
412
76.6 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.3 IPS |
|
|
Image Classification (Q)
|
100% |
1093
203.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1187
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2043
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3025
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
83% |
1060
85.6 IPS |
|
|
Face Detection (SP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (Q)
|
95% |
2466
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1269
9.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
1291
9.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
2640
24.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3467
4.50 IPS |
|
|
Style Transfer (HP)
|
89% |
3505
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
6511
8.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1599
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
367
490.5 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.0 IPS |
|
|
Text Classification (Q)
|
88% |
476
641.9 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
