Samsung Galaxy S21 FE
Geekbench AI Score
411
Single Precision Score
399
Half Precision Score
398
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | nexus33 |
| Upload Date | February 27 2025 01:21 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
403
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.4 IPS |
|
|
Image Classification (Q)
|
97% |
337
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
234
3.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
390
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
89% |
228
18.3 IPS |
|
|
Face Detection (SP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
1192
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
997
7.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
1226
9.47 IPS |
|
|
Depth Estimation (Q)
|
62% |
1011
9.57 IPS |
|
|
Style Transfer (SP)
|
100% |
2169
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3711
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
3682
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
453
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
50
66.7 IPS |
|
|
Text Classification (HP)
|
100% |
50
66.9 IPS |
|
|
Text Classification (Q)
|
91% |
96
129.6 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
