Samsung Galaxy S20 FE
Geekbench AI Score
657
Single Precision Score
656
Half Precision Score
1084
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 06:47 PM |
| Views | 1 |
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% |
295
54.9 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.7 IPS |
|
|
Image Classification (Q)
|
100% |
791
147.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
872
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1493
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1496
1.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
2094
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
83% |
794
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
973
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
973
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
1753
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1177
9.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
1173
9.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1873
17.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2517
3.27 IPS |
|
|
Style Transfer (HP)
|
89% |
2523
3.27 IPS |
|
|
Style Transfer (Q)
|
98% |
4607
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1131
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
288
383.8 IPS |
|
|
Text Classification (HP)
|
100% |
283
377.2 IPS |
|
|
Text Classification (Q)
|
88% |
393
530.4 IPS |
|
|
Machine Translation (SP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
50% |
293
10.4 IPS |
