Samsung Galaxy S21 FE
Geekbench AI Score
339
Single Precision Score
309
Half Precision Score
635
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ling098 |
| Upload Date | June 15 2025 12:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21 FE |
| Model ID | samsung SM-G9900 |
| 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 | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
255
47.3 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (Q)
|
100% |
473
88.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
626
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1084
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
83% |
482
39.0 IPS |
|
|
Face Detection (SP)
|
100% |
362
4.31 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
95% |
926
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
510
3.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
514
3.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1054
9.65 IPS |
|
|
Style Transfer (SP)
|
89% |
1127
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1104
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2405
3.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.8 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.5 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (Q)
|
50% |
156
5.53 IPS |
