Samsung Galaxy S20 FE 5G
Geekbench AI Score
312
Single Precision Score
313
Half Precision Score
605
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sageriramadhan |
| Upload Date | November 16 2025 12:32 AM |
| Views | 5 |
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% |
169
31.5 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
100% |
431
80.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
2.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
536
8.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
639
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
626
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1100
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
466
37.6 IPS |
|
|
Face Detection (SP)
|
100% |
352
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (Q)
|
95% |
890
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
529
4.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
986
9.03 IPS |
|
|
Style Transfer (SP)
|
89% |
1139
1.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1118
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2305
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.9 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.6 IPS |
|
|
Text Classification (Q)
|
88% |
280
377.2 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.35 IPS |
|
|
Machine Translation (Q)
|
50% |
160
5.69 IPS |
