Samsung Galaxy S21 FE
Geekbench AI Score
730
Single Precision Score
728
Half Precision Score
1177
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 07:37 PM |
| Views | 2 |
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-G990U1 |
| 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% |
496
92.2 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
100% |
1333
247.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
501
8.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1547
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1872
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1889
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
2994
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
83% |
969
78.3 IPS |
|
|
Face Detection (SP)
|
100% |
1224
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1242
14.8 IPS |
|
|
Face Detection (Q)
|
95% |
2385
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1678
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1679
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2337
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2989
3.88 IPS |
|
|
Style Transfer (HP)
|
89% |
2994
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
5878
7.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
912
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
641
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.1 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.6 IPS |
|
|
Text Classification (Q)
|
88% |
272
367.4 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.21 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.32 IPS |
