Samsung Galaxy S21 FE
Geekbench AI Score
329
Single Precision Score
269
Half Precision Score
514
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 04 2025 11:51 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% |
252
46.9 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
100% |
510
94.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
609
9.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
604
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
981
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
383
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
534
6.35 IPS |
|
|
Face Detection (HP)
|
100% |
331
3.93 IPS |
|
|
Face Detection (Q)
|
95% |
826
9.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
684
5.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
471
3.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
921
8.44 IPS |
|
|
Style Transfer (SP)
|
89% |
1061
1.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1011
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2338
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
267
9.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
418
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
108
144.4 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.5 IPS |
|
|
Text Classification (Q)
|
88% |
109
147.3 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (HP)
|
100% |
175
3.01 IPS |
|
|
Machine Translation (Q)
|
50% |
137
4.85 IPS |
