Samsung Galaxy S20 FE 5G
Geekbench AI Score
161
Single Precision Score
162
Half Precision Score
369
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sageriramadhan |
| Upload Date | November 16 2025 12:22 AM |
| Views | 4 |
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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (HP)
|
100% |
97
18.0 IPS |
|
|
Image Classification (Q)
|
99% |
246
45.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
127
2.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
247
4.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
169
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
170
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
634
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.65 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.68 IPS |
|
|
Object Detection (Q)
|
87% |
270
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
245
2.92 IPS |
|
|
Face Detection (HP)
|
100% |
250
2.97 IPS |
|
|
Face Detection (Q)
|
97% |
536
6.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
210
1.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
210
1.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
485
4.40 IPS |
|
|
Style Transfer (SP)
|
100% |
355
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
356
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1011
1.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
102
3.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
102
3.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
367
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
140
186.6 IPS |
|
|
Text Classification (HP)
|
100% |
140
187.5 IPS |
|
|
Text Classification (Q)
|
91% |
237
318.7 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
57% |
198
4.84 IPS |
