Samsung Galaxy Note20 5G
Geekbench AI Score
306
Single Precision Score
304
Half Precision Score
603
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | saiht |
| Upload Date | August 15 2024 06:27 PM |
| Views | 10 |
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% |
170
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
100% |
467
86.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
506
8.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
621
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
631
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1082
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (Q)
|
87% |
458
36.8 IPS |
|
|
Face Detection (SP)
|
100% |
357
4.25 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
95% |
842
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
500
3.85 IPS |
|
|
Depth Estimation (HP)
|
100% |
498
3.84 IPS |
|
|
Depth Estimation (Q)
|
75% |
1116
9.04 IPS |
|
|
Style Transfer (SP)
|
89% |
1131
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1107
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2274
2.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.0 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.7 IPS |
|
|
Text Classification (Q)
|
88% |
265
357.5 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.11 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.58 IPS |
