Samsung Galaxy S20 FE 5G
Geekbench AI Score
977
Single Precision Score
877
Half Precision Score
1635
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 07:06 AM |
| Views | 2 |
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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (Q)
|
100% |
1494
277.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1704
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2383
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
3757
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
83% |
1446
116.8 IPS |
|
|
Face Detection (SP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (Q)
|
95% |
3417
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1717
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1998
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3457
31.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3980
5.17 IPS |
|
|
Style Transfer (HP)
|
89% |
3917
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
8805
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2099
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
569
760.0 IPS |
|
|
Text Classification (HP)
|
100% |
173
230.6 IPS |
|
|
Text Classification (Q)
|
88% |
281
378.9 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.71 IPS |
