Samsung Galaxy Note20 Ultra 5G
Geekbench AI Score
800
Single Precision Score
795
Half Precision Score
1357
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 26 2025 02:48 PM |
| Views | 1 |
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-N986N |
| 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% |
509
94.6 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.1 IPS |
|
|
Image Classification (Q)
|
100% |
1447
269.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1676
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2058
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2061
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3384
4.01 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (Q)
|
83% |
1351
109.1 IPS |
|
|
Face Detection (SP)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1469
17.5 IPS |
|
|
Face Detection (Q)
|
95% |
3116
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1719
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1705
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3157
28.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3590
4.66 IPS |
|
|
Style Transfer (HP)
|
89% |
3649
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
7748
9.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
168
223.8 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.5 IPS |
|
|
Text Classification (Q)
|
88% |
266
359.3 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.33 IPS |
