Samsung Galaxy S20 FE 5G
Geekbench AI Score
685
Single Precision Score
682
Half Precision Score
1250
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:52 AM |
| Views | 3 |
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-G781B |
| 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% |
512
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.1 IPS |
|
|
Image Classification (Q)
|
100% |
1473
274.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1675
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2088
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2116
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
3075
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
83% |
1050
84.8 IPS |
|
|
Face Detection (SP)
|
100% |
1319
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1323
15.7 IPS |
|
|
Face Detection (Q)
|
95% |
2480
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1581
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1551
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2527
23.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3236
4.20 IPS |
|
|
Style Transfer (HP)
|
89% |
3346
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
6474
8.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
640
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.7 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.5 IPS |
|
|
Text Classification (Q)
|
88% |
273
367.7 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.85 IPS |
