Samsung Galaxy S21 FE
Geekbench AI Score
369
Single Precision Score
315
Half Precision Score
659
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 02:20 PM |
| Views | 1 |
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-G990B |
| 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% |
245
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
100% |
478
88.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
836
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1221
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
646
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1112
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
476
38.5 IPS |
|
|
Face Detection (SP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
95% |
930
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
805
6.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
506
3.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
1122
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1117
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1147
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2783
3.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
620
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.2 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.4 IPS |
|
|
Text Classification (Q)
|
88% |
267
360.5 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.42 IPS |
