Samsung Galaxy S21 FE
Geekbench AI Score
692
Single Precision Score
695
Half Precision Score
1100
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 31 2024 04:50 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% |
369
68.7 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
100% |
1029
191.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1181
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1814
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1820
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
2455
2.91 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.1 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
83% |
1013
81.8 IPS |
|
|
Face Detection (SP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1238
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
2442
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1649
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1660
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2331
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2980
3.87 IPS |
|
|
Style Transfer (HP)
|
89% |
3000
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
5817
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
912
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.0 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.1 IPS |
|
|
Text Classification (Q)
|
88% |
267
359.5 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (Q)
|
50% |
154
5.47 IPS |
