Samsung Galaxy Note20 5G
Geekbench AI Score
938
Single Precision Score
928
Half Precision Score
1744
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 11:04 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 5G |
| Model ID | samsung SM-N981B |
| 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% |
497
92.4 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.2 IPS |
|
|
Image Classification (Q)
|
100% |
1327
246.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
8.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
1434
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2023
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2064
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
3323
3.94 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
83% |
1258
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
95% |
3021
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1680
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1665
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3039
27.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3521
4.57 IPS |
|
|
Style Transfer (HP)
|
89% |
3559
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
7639
9.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1829
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.9 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.0 IPS |
|
|
Text Classification (Q)
|
88% |
663
894.5 IPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
386
13.7 IPS |
