Samsung Galaxy Note20 5G
Geekbench AI Score
443
Single Precision Score
739
Half Precision Score
758
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 12:49 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865+ |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Note20 5G |
| Model ID | samsung SM-N981W |
| 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% |
281
52.2 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
97% |
405
75.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
562
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1111
1.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
1104
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (Q)
|
86% |
366
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1518
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
669
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
1263
9.73 IPS |
|
|
Depth Estimation (Q)
|
75% |
1203
9.73 IPS |
|
|
Style Transfer (SP)
|
100% |
1276
1.64 IPS |
|
|
Style Transfer (HP)
|
100% |
3200
4.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3193
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
703
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
692
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
243
324.6 IPS |
|
|
Text Classification (HP)
|
100% |
243
324.8 IPS |
|
|
Text Classification (Q)
|
91% |
420
564.9 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
57% |
296
7.24 IPS |
