Samsung Galaxy S21 FE
Geekbench AI Score
323
Single Precision Score
313
Half Precision Score
618
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Jfreshh330 |
| Upload Date | December 13 2024 08:37 PM |
| Views | 5 |
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% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
100% |
471
87.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
583
9.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
629
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1099
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
481
38.8 IPS |
|
|
Face Detection (SP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (Q)
|
95% |
904
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
525
4.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1032
9.45 IPS |
|
|
Style Transfer (SP)
|
89% |
1133
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1145
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2353
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
622
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.1 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.4 IPS |
|
|
Text Classification (Q)
|
88% |
270
364.6 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.45 IPS |
