Samsung Galaxy S20 FE 5G
Geekbench AI Score
288
Single Precision Score
404
Half Precision Score
1083
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 10:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
97% |
705
131.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
126
2.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1420
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5299
6.18 IPS |
|
|
Pose Estimation (Q)
|
97% |
11370
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
85% |
1393
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
97% |
3563
42.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
484
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
308
2.38 IPS |
|
|
Depth Estimation (Q)
|
22% |
253
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
548
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
363
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2688
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1604
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4978
184.5 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.11 IPS |
|
|
Text Classification (HP)
|
100% |
142
188.9 IPS |
|
|
Text Classification (Q)
|
93% |
140
188.5 IPS |
|
|
Machine Translation (SP)
|
100% |
123
2.12 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
54% |
152
4.27 IPS |
