Samsung Galaxy S21 FE
Geekbench AI Score
574
Single Precision Score
582
Half Precision Score
1037
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 03:24 AM |
| Views | 3 |
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-G990U |
| 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% |
346
64.3 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (Q)
|
100% |
1012
188.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1153
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1787
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1760
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
2460
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
83% |
936
75.6 IPS |
|
|
Face Detection (SP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2111
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1476
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1532
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2099
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2757
3.58 IPS |
|
|
Style Transfer (HP)
|
89% |
2758
3.58 IPS |
|
|
Style Transfer (Q)
|
98% |
5249
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
604
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.2 IPS |
|
|
Text Classification (HP)
|
100% |
148
198.1 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.2 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
50% |
143
5.08 IPS |
