Samsung Galaxy S20 FE 5G
Geekbench AI Score
327
Single Precision Score
329
Half Precision Score
641
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | monopuerco |
| Upload Date | December 25 2024 04:20 AM |
| Views | 12 |
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-G781U |
| 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% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.5 IPS |
|
|
Image Classification (Q)
|
100% |
447
83.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
525
8.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1076
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.8 IPS |
|
|
Object Detection (Q)
|
83% |
466
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
95% |
872
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
533
4.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
531
4.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1003
9.19 IPS |
|
|
Style Transfer (SP)
|
89% |
1139
1.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1124
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2371
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.1 IPS |
|
|
Text Classification (HP)
|
100% |
183
243.8 IPS |
|
|
Text Classification (Q)
|
88% |
286
386.3 IPS |
|
|
Machine Translation (SP)
|
100% |
346
5.97 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.66 IPS |
|
|
Machine Translation (Q)
|
50% |
276
9.78 IPS |
