Samsung Galaxy S21 FE
Geekbench AI Score
804
Single Precision Score
728
Half Precision Score
1284
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 05:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 FE |
| Model ID | samsung SM-G990U |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 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 | 5.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
476
88.4 IPS |
|
|
Image Classification (HP)
|
100% |
473
88.0 IPS |
|
|
Image Classification (Q)
|
100% |
1342
249.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1569
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1933
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1847
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
2929
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.2 IPS |
|
|
Object Detection (Q)
|
83% |
1018
82.3 IPS |
|
|
Face Detection (SP)
|
100% |
1251
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (Q)
|
95% |
2439
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1678
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1676
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2336
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2991
3.88 IPS |
|
|
Style Transfer (HP)
|
89% |
3010
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
5875
7.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
914
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1421
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.8 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.8 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.0 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.45 IPS |
