Samsung Galaxy Note20 5G
Geekbench AI Score
411
Single Precision Score
690
Half Precision Score
678
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 05:39 PM |
| Views | 11 |
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% |
192
35.7 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.6 IPS |
|
|
Image Classification (Q)
|
97% |
282
52.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
552
8.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
562
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
1103
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.4 IPS |
|
|
Object Detection (Q)
|
86% |
366
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (HP)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
1524
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
668
5.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
1262
9.72 IPS |
|
|
Depth Estimation (Q)
|
75% |
1202
9.72 IPS |
|
|
Style Transfer (SP)
|
100% |
1277
1.64 IPS |
|
|
Style Transfer (HP)
|
100% |
3190
4.10 IPS |
|
|
Style Transfer (Q)
|
98% |
3170
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
691
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
245
326.9 IPS |
|
|
Text Classification (HP)
|
100% |
244
326.3 IPS |
|
|
Text Classification (Q)
|
91% |
420
565.0 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
57% |
196
4.78 IPS |
