Samsung Galaxy S20 FE 5G
Geekbench AI Score
853
Single Precision Score
864
Half Precision Score
1513
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 13 2024 04:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE 5G |
| Model ID | samsung SM-G780G |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
380
70.7 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.3 IPS |
|
|
Image Classification (Q)
|
100% |
1058
196.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
1238
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1872
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1878
2.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
2749
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
1046
84.5 IPS |
|
|
Face Detection (SP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1300
15.4 IPS |
|
|
Face Detection (Q)
|
95% |
2469
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1622
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1637
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2529
23.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3303
4.29 IPS |
|
|
Style Transfer (HP)
|
89% |
3327
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
6434
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
887
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1523
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
403
538.5 IPS |
|
|
Text Classification (HP)
|
100% |
399
533.0 IPS |
|
|
Text Classification (Q)
|
88% |
664
895.2 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
