Samsung Galaxy S21 FE
Geekbench AI Score
1107
Single Precision Score
1100
Half Precision Score
2145
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:44 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S21 FE |
| Model ID | samsung SM-G990E |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 5.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
100% |
1624
302.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1867
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2353
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2306
2.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
3561
4.22 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
87% |
1522
122.2 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
95% |
3591
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1995
15.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
1957
15.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
3801
30.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3942
5.12 IPS |
|
|
Style Transfer (HP)
|
89% |
3896
5.06 IPS |
|
|
Style Transfer (Q)
|
98% |
8365
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2126
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
597
797.2 IPS |
|
|
Text Classification (HP)
|
100% |
581
775.6 IPS |
|
|
Text Classification (Q)
|
88% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
541
19.2 IPS |
