Samsung Galaxy S20 FE 5G
Geekbench AI Score
324
Single Precision Score
309
Half Precision Score
624
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 09:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE 5G |
| Model ID | samsung SM-G780G |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
100% |
506
94.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
534
8.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
621
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
612
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
1164
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
83% |
463
37.4 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
95% |
887
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
510
3.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
493
3.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
989
9.06 IPS |
|
|
Style Transfer (SP)
|
89% |
1130
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1130
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2540
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
620
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
205
274.2 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.4 IPS |
|
|
Text Classification (Q)
|
88% |
280
378.3 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (Q)
|
50% |
159
5.64 IPS |
