Samsung Galaxy Note20 5G
Geekbench AI Score
227
Single Precision Score
184
Half Precision Score
962
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | saiht |
| Upload Date | August 15 2024 09:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865+ |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Note20 5G |
| Model ID | samsung SM-N981N |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.7 IPS |
|
|
Image Classification (Q)
|
97% |
570
106.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
40
0.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
530
8.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
1566
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5621
6.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
10975
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
34
2.73 IPS |
|
|
Object Detection (Q)
|
89% |
1183
94.7 IPS |
|
|
Face Detection (SP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (Q)
|
97% |
2892
34.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
170
1.31 IPS |
|
|
Depth Estimation (HP)
|
100% |
80
0.62 IPS |
|
|
Depth Estimation (Q)
|
46% |
2477
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
222
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
143
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
967
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4620
171.2 IPS |
|
|
Text Classification (SP)
|
71% |
3
3.83 IPS |
|
|
Text Classification (HP)
|
100% |
56
75.1 IPS |
|
|
Text Classification (Q)
|
93% |
85
114.3 IPS |
|
|
Machine Translation (SP)
|
100% |
70
1.20 IPS |
|
|
Machine Translation (HP)
|
100% |
90
1.55 IPS |
|
|
Machine Translation (Q)
|
54% |
64
1.82 IPS |
