Samsung Galaxy Note20 5G
Geekbench AI Score
306
Single Precision Score
310
Half Precision Score
613
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 28 2025 03:06 AM |
| 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-N981U |
| 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% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
100% |
432
80.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
540
8.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
626
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
625
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1101
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
83% |
471
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
95% |
883
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
533
4.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
1037
9.50 IPS |
|
|
Style Transfer (SP)
|
89% |
1123
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1123
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2628
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
635
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.4 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.3 IPS |
|
|
Text Classification (Q)
|
88% |
269
362.5 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
50% |
152
5.41 IPS |
