Samsung Galaxy Note20 5G
Geekbench AI Score
316
Single Precision Score
312
Half Precision Score
611
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | saiht |
| Upload Date | October 19 2024 04:28 PM |
| Views | 3 |
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-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% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
100% |
499
92.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
507
8.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1127
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
470
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
363
4.32 IPS |
|
|
Face Detection (HP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (Q)
|
95% |
871
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
535
4.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
531
4.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1047
9.59 IPS |
|
|
Style Transfer (SP)
|
89% |
1157
1.50 IPS |
|
|
Style Transfer (HP)
|
89% |
1117
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2389
3.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
618
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.3 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (Q)
|
88% |
267
360.6 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
50% |
152
5.41 IPS |
