Samsung Galaxy S20 FE 5G
Geekbench AI Score
284
Single Precision Score
402
Half Precision Score
1020
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 08 2025 03:09 AM |
| Views | 5 |
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-G781W |
| 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% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.4 IPS |
|
|
Image Classification (Q)
|
97% |
722
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
128
2.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
837
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5311
6.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
11181
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
85% |
1247
100.4 IPS |
|
|
Face Detection (SP)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
97% |
3532
42.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
475
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
312
2.41 IPS |
|
|
Depth Estimation (Q)
|
22% |
244
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
361
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2676
3.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1501
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4871
180.5 IPS |
|
|
Text Classification (SP)
|
71% |
3
3.74 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.5 IPS |
|
|
Text Classification (Q)
|
93% |
90
120.5 IPS |
|
|
Machine Translation (SP)
|
100% |
125
2.15 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
54% |
144
4.06 IPS |
