Samsung Galaxy Note20 5G
Geekbench AI Score
264
Single Precision Score
455
Half Precision Score
1232
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 01:04 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
295
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
97% |
681
127.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1581
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5798
6.77 IPS |
|
|
Pose Estimation (Q)
|
97% |
11111
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
89% |
1305
104.5 IPS |
|
|
Face Detection (SP)
|
100% |
930
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
394
4.68 IPS |
|
|
Face Detection (Q)
|
97% |
3298
39.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
482
3.71 IPS |
|
|
Depth Estimation (HP)
|
100% |
271
2.09 IPS |
|
|
Depth Estimation (Q)
|
46% |
2694
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
554
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
373
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
2618
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4105
152.1 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.34 IPS |
|
|
Text Classification (HP)
|
100% |
243
323.8 IPS |
|
|
Text Classification (Q)
|
93% |
59
79.4 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.51 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
54% |
187
5.26 IPS |
