Samsung Galaxy S20 FE
Geekbench AI Score
896
Single Precision Score
894
Half Precision Score
1624
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | bolzan |
| Upload Date | August 18 2024 10:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.3 IPS |
|
|
Image Classification (Q)
|
100% |
1318
245.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
1471
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2091
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2090
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
3418
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (HP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (Q)
|
87% |
1247
100.2 IPS |
|
|
Face Detection (SP)
|
100% |
1307
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
2652
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1532
11.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
1534
11.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
3016
24.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3447
4.47 IPS |
|
|
Style Transfer (HP)
|
89% |
3439
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
6490
8.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1584
58.7 IPS |
|
|
Text Classification (SP)
|
100% |
383
511.7 IPS |
|
|
Text Classification (HP)
|
100% |
376
502.4 IPS |
|
|
Text Classification (Q)
|
88% |
539
727.5 IPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
349
12.4 IPS |
