Samsung Galaxy Note20 Ultra
Geekbench AI Score
458
Single Precision Score
637
Half Precision Score
638
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 10:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
369
68.7 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
99% |
585
109.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
487
7.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
752
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
332
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
83% |
441
35.7 IPS |
|
|
Face Detection (SP)
|
100% |
1222
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1811
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
1674
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
705
5.43 IPS |
|
|
Depth Estimation (Q)
|
62% |
569
5.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1175
1.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1942
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1936
2.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
519
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
268
358.0 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.9 IPS |
|
|
Text Classification (Q)
|
91% |
481
646.0 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
57% |
377
9.21 IPS |
