Samsung Galaxy Note20 Ultra
Geekbench AI Score
855
Single Precision Score
856
Half Precision Score
1371
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 06:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Note20 Ultra |
| Model ID | samsung SM-N985F |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.8 IPS |
|
|
Image Classification (Q)
|
100% |
1087
202.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1200
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2020
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2010
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3030
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
83% |
1061
85.7 IPS |
|
|
Face Detection (SP)
|
100% |
1223
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2416
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1594
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1592
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2654
24.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3448
4.48 IPS |
|
|
Style Transfer (HP)
|
89% |
3467
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
6489
8.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
800
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1586
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
373
498.1 IPS |
|
|
Text Classification (HP)
|
100% |
358
477.2 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.3 IPS |
|
|
Machine Translation (SP)
|
100% |
578
9.95 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
