Samsung Galaxy Note20 Ultra 5G
Geekbench AI Score
717
Single Precision Score
682
Half Precision Score
1407
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 10 2025 07:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865+ |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Note20 Ultra 5G |
| Model ID | samsung SM-N986U |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
100% |
1389
258.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
1617
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1722
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1487
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
2742
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
1297
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
1413
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1401
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
3122
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1678
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1551
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3085
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2702
3.51 IPS |
|
|
Style Transfer (HP)
|
89% |
2368
3.07 IPS |
|
|
Style Transfer (Q)
|
98% |
5468
7.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
873
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1797
66.6 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.1 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.7 IPS |
|
|
Text Classification (Q)
|
88% |
261
351.3 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (Q)
|
50% |
155
5.52 IPS |
