Samsung Galaxy Note20 Ultra 5G
Geekbench AI Score
835
Single Precision Score
729
Half Precision Score
1374
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 05:23 AM |
| 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-N986U1 |
| 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% |
536
99.6 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (Q)
|
100% |
1467
272.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1693
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2167
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3563
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (HP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
83% |
1380
111.5 IPS |
|
|
Face Detection (SP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (Q)
|
95% |
3378
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1858
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1834
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3374
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3920
5.09 IPS |
|
|
Style Transfer (HP)
|
89% |
3881
5.04 IPS |
|
|
Style Transfer (Q)
|
98% |
8174
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1085
40.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
620
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
156
207.9 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.5 IPS |
|
|
Text Classification (Q)
|
88% |
251
339.1 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (Q)
|
50% |
136
4.84 IPS |
