Samsung Galaxy S21 FE
Geekbench AI Score
1005
Single Precision Score
1568
Half Precision Score
1451
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 07:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
465
86.5 IPS |
|
|
Image Classification (HP)
|
100% |
696
129.5 IPS |
|
|
Image Classification (Q)
|
99% |
678
126.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1202
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4949
5.77 IPS |
|
|
Pose Estimation (HP)
|
99% |
8571
10.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
8423
9.86 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (HP)
|
99% |
1082
85.8 IPS |
|
|
Object Detection (Q)
|
85% |
1030
82.9 IPS |
|
|
Face Detection (SP)
|
100% |
2264
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
3704
44.0 IPS |
|
|
Face Detection (Q)
|
97% |
3219
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2549
19.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3795
29.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3088
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6261
8.05 IPS |
|
|
Style Transfer (HP)
|
100% |
12505
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
12432
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2163
80.2 IPS |
|
|
Text Classification (SP)
|
35% |
36
352.6 IPS |
|
|
Text Classification (HP)
|
35% |
54
494.1 IPS |
|
|
Text Classification (Q)
|
35% |
55
502.3 IPS |
|
|
Machine Translation (SP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (HP)
|
97% |
501
8.67 IPS |
|
|
Machine Translation (Q)
|
64% |
399
8.20 IPS |
