Samsung Galaxy S20 FE 5G
Geekbench AI Score
222
Single Precision Score
221
Half Precision Score
498
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 04 2026 03:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
99% |
390
72.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
402
6.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
985
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
87% |
429
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
359
4.26 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
97% |
847
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
310
2.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
312
2.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
752
6.83 IPS |
|
|
Style Transfer (SP)
|
100% |
511
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
509
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
1312
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
368
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
141
187.9 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.4 IPS |
|
|
Text Classification (Q)
|
91% |
237
318.6 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
57% |
197
4.81 IPS |
