Samsung Galaxy Note20 5G
Geekbench AI Score
251
Single Precision Score
250
Half Precision Score
575
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 01:20 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
166
30.8 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.5 IPS |
|
|
Image Classification (Q)
|
97% |
428
79.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
440
7.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
283
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
952
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.74 IPS |
|
|
Object Detection (Q)
|
89% |
307
24.6 IPS |
|
|
Face Detection (SP)
|
100% |
270
3.21 IPS |
|
|
Face Detection (HP)
|
100% |
253
3.01 IPS |
|
|
Face Detection (Q)
|
97% |
528
6.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
336
2.59 IPS |
|
|
Depth Estimation (HP)
|
100% |
336
2.59 IPS |
|
|
Depth Estimation (Q)
|
73% |
904
7.39 IPS |
|
|
Style Transfer (SP)
|
100% |
545
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
543
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1620
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
167
6.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
649
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.2 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.4 IPS |
|
|
Text Classification (Q)
|
91% |
420
564.9 IPS |
|
|
Machine Translation (SP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (Q)
|
57% |
344
8.41 IPS |
