Samsung Galaxy S20 FE
Geekbench AI Score
286
Single Precision Score
368
Half Precision Score
370
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | bolzan |
| Upload Date | August 18 2024 11:15 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE |
| Model ID | samsung SM-G780F |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.5 IPS |
|
|
Image Classification (Q)
|
97% |
434
81.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
489
7.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
1407
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5067
5.91 IPS |
|
|
Pose Estimation (Q)
|
98% |
1333
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
89% |
482
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
438
5.20 IPS |
|
|
Face Detection (HP)
|
100% |
443
5.27 IPS |
|
|
Face Detection (Q)
|
97% |
797
9.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
359
2.77 IPS |
|
|
Depth Estimation (HP)
|
100% |
234
1.80 IPS |
|
|
Depth Estimation (Q)
|
73% |
549
4.49 IPS |
|
|
Style Transfer (SP)
|
100% |
517
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
411
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
396
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
425
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
43
57.1 IPS |
|
|
Text Classification (HP)
|
100% |
163
218.2 IPS |
|
|
Text Classification (Q)
|
91% |
22
29.4 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
57% |
223
5.44 IPS |
