Samsung Galaxy Note20 5G
Geekbench AI Score
310
Single Precision Score
309
Half Precision Score
619
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 12:40 PM |
| Views | 15 |
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-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% |
169
31.4 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
100% |
449
83.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
533
8.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
612
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
627
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1081
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
87% |
490
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
357
4.24 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
95% |
845
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
526
4.05 IPS |
|
|
Depth Estimation (HP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (Q)
|
75% |
1157
9.38 IPS |
|
|
Style Transfer (SP)
|
89% |
1106
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1108
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2490
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
636
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.0 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.3 IPS |
|
|
Text Classification (Q)
|
88% |
271
365.1 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
50% |
156
5.53 IPS |
