Samsung Galaxy S20 FE
Geekbench AI Score
453
Single Precision Score
628
Half Precision Score
632
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 07:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
99% |
585
109.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
742
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
332
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
443
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1662
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
525
4.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
703
5.42 IPS |
|
|
Depth Estimation (Q)
|
62% |
570
5.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1174
1.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1941
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1934
2.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
521
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.9 IPS |
|
|
Text Classification (HP)
|
100% |
254
339.4 IPS |
|
|
Text Classification (Q)
|
91% |
468
629.3 IPS |
|
|
Machine Translation (SP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.92 IPS |
|
|
Machine Translation (Q)
|
57% |
360
8.80 IPS |
