Samsung Galaxy Note20 Ultra
Geekbench AI Score
393
Single Precision Score
515
Half Precision Score
561
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 11:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Note20 Ultra |
| Model ID | samsung SM-N986B |
| 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 | 10.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
99% |
439
81.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
491
7.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
1411
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5227
6.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
1398
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
87% |
501
40.2 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (HP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (Q)
|
97% |
907
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
417
3.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
421
3.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
968
8.78 IPS |
|
|
Style Transfer (SP)
|
100% |
951
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
768
0.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
785
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
94
125.2 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.3 IPS |
|
|
Text Classification (Q)
|
91% |
100
134.8 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
57% |
387
9.46 IPS |
