Samsung Galaxy S20 FE
Geekbench AI Score
207
Single Precision Score
273
Half Precision Score
292
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | bolzan |
| Upload Date | August 18 2024 10:57 PM |
| Views | 8 |
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% |
160
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.3 IPS |
|
|
Image Classification (Q)
|
97% |
256
47.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
229
3.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
349
5.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
127
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
158
0.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
157
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.10 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (Q)
|
97% |
584
6.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
241
1.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
326
2.51 IPS |
|
|
Depth Estimation (Q)
|
72% |
303
2.51 IPS |
|
|
Style Transfer (SP)
|
100% |
550
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
898
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
892
1.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
217
8.04 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.1 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.8 IPS |
|
|
Text Classification (Q)
|
91% |
271
364.0 IPS |
|
|
Machine Translation (SP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (HP)
|
100% |
177
3.05 IPS |
|
|
Machine Translation (Q)
|
57% |
222
5.42 IPS |
