Samsung Galaxy S20+ 5G
Geekbench AI Score
296
Single Precision Score
296
Half Precision Score
580
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | HdwJunkie |
| Upload Date | September 16 2024 01:51 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20+ 5G |
| Model ID | samsung SM-G986U |
| 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (Q)
|
100% |
389
72.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
479
7.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
587
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
585
0.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
1181
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
83% |
396
32.0 IPS |
|
|
Face Detection (SP)
|
100% |
343
4.08 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.08 IPS |
|
|
Face Detection (Q)
|
95% |
818
9.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1018
9.32 IPS |
|
|
Style Transfer (SP)
|
89% |
1109
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1107
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2473
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.4 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.6 IPS |
|
|
Text Classification (Q)
|
88% |
265
357.7 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.32 IPS |
