Samsung Galaxy Note20 Ultra 5G
Geekbench AI Score
637
Single Precision Score
635
Half Precision Score
1091
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 07 2025 04:25 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-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% |
538
100.0 IPS |
|
|
Image Classification (HP)
|
100% |
532
99.0 IPS |
|
|
Image Classification (Q)
|
100% |
1482
275.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1688
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2050
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2068
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
3417
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
83% |
1387
112.0 IPS |
|
|
Face Detection (SP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (Q)
|
95% |
3324
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1925
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1795
13.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
1009
9.24 IPS |
|
|
Style Transfer (SP)
|
89% |
1096
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1098
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2441
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.5 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.3 IPS |
|
|
Text Classification (Q)
|
88% |
258
348.6 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.42 IPS |
