Samsung Galaxy Note20 5G
Geekbench AI Score
311
Single Precision Score
305
Half Precision Score
595
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 06:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865+ |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Note20 5G |
| Model ID | samsung SM-N981U1 |
| 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% |
183
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
100% |
456
84.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
523
8.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
621
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
1071
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
450
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.33 IPS |
|
|
Face Detection (Q)
|
95% |
854
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
533
4.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
526
4.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1009
9.24 IPS |
|
|
Style Transfer (SP)
|
89% |
1100
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1103
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2247
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.3 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.4 IPS |
|
|
Text Classification (Q)
|
88% |
269
363.1 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (Q)
|
50% |
152
5.39 IPS |
