Samsung Galaxy Note20 5G
Geekbench AI Score
286
Single Precision Score
422
Half Precision Score
433
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | saiht |
| Upload Date | August 15 2024 09:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
284
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.7 IPS |
|
|
Image Classification (Q)
|
97% |
408
76.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
212
3.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
1098
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
86% |
196
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (HP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
1170
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
651
5.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
1215
9.36 IPS |
|
|
Depth Estimation (Q)
|
75% |
1150
9.30 IPS |
|
|
Style Transfer (SP)
|
100% |
1257
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3074
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
3043
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
446
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
49
65.5 IPS |
|
|
Text Classification (HP)
|
100% |
48
64.6 IPS |
|
|
Text Classification (Q)
|
91% |
96
128.5 IPS |
|
|
Machine Translation (SP)
|
100% |
83
1.42 IPS |
|
|
Machine Translation (HP)
|
100% |
83
1.42 IPS |
|
|
Machine Translation (Q)
|
57% |
72
1.76 IPS |
